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Zhu J, Chen Y, Chen Y, Lv Y, Chen T. STAT3 inhibition ameliorates renal interstitial inflammation in MRL/lpr mice with diffuse proliferative lupus nephritis. Ren Fail 2024; 46:2358187. [PMID: 38803234 PMCID: PMC11136473 DOI: 10.1080/0886022x.2024.2358187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Acute kidney injury (AKI) is one of the most common and severe clinical syndromes of diffuse proliferative lupus nephritis (DPLN), of which poor prognosis is indicated by aggravated renal function deterioration. However, the specific therapy and mechanisms of AKI in DPLN remain to be explored. METHODS The correlation between AKI and clinical pathological changes in DPLN patients was analyzed. Expression of STAT3 signaling was detected in MRL/lpr mice with DPLN using immunohistochemical staining and immunoblotting. Inhibition of STAT3 activation by combination therapy was assessed in MRL/lpr mice. RESULTS Correlation analysis revealed only the interstitial leukocytes were significantly related to AKI in endocapillary DPLN patients. MRL/lpr mice treated with vehicle, which can recapitulate renal damages of DPLN patients, showed upregulation of STAT3, pSTAT3 and caspase-1 in renal cortex. FLLL32 combined with methylprednisolone therapy significantly inhibited the STAT3 activation, improved acute kidney damage, reduced the interstitial infiltration of inflammatory cells and decreased the AKI incidence in MRL/lpr mice. CONCLUSION STAT3 activation may play an important role in the pathogenesis of DPLN and the development of AKI. Hence, STAT3 inhibition based on the combination of FLLL32 with methylprednisolone may represent a new strategy for treatment of DPLN with AKI.
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Sun ZY, Li Y, Wu M, He W, Yuan Y, Cao Y, Chen Y. A Rhodamine-Spiropyran Conjugate Empowering Tunable Mechanochromism in Polymers under Multiple Stimuli. Angew Chem Int Ed Engl 2024; 63:e202411629. [PMID: 38966872 DOI: 10.1002/anie.202411629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 07/04/2024] [Accepted: 07/04/2024] [Indexed: 07/06/2024]
Abstract
Mechanochromic functionality realized via the force-responsive mechanophores in polymers has great potential for damage sensing and information storage. Mechanophores with the ability to recognize multiple stimuli for tunable chromic characteristics are highly sought after for versatile sensing ability and color programmability. Nevertheless, the majority of mechanophores are based on single-component chromophores with limited sensitivity, or require additional fabrication technology for multi-modal chromism. Here, we report a novel multifunctional mechanophore capable of vividly detectable and tunable mechanochromism in polymers. This synergistic optical coupling relies on strategically fusing rhodamine and spiropyran (Rh-SP), and tethering polymer chains on both subunits. The mechanochromic behaviors of the Rh-SP-linked polymers under sonication and compression are thoroughly evaluated in response to changes in force and the light-controlled relaxation process. Non-sequential ring-opening of the two subunits under force is identified, endowing high-contrast mechanochromism. Light-induced differential ring-closing reactions of the two subunits, together with the acidichromism of the SP moiety, are employed to engineer elastomers with programmable and wide-spectrum colors. Our work presents an effective strategy for highly appreciable and regulable mechanochromic functionality, and also provides new insights into the rupture mechanisms of π-fused mechanophores, as well as how the stimuli history controls stress accumulation in polymers.
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Deng C, Xie Y, Liu F, Tang X, Fan L, Yang X, Chen Y, Zhou Z, Li X. Simplified integration of optimal self-management behaviors is associated with improved HbA1c in patients with type 1 diabetes. J Endocrinol Invest 2024; 47:2691-2699. [PMID: 38602658 DOI: 10.1007/s40618-024-02357-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/04/2024] [Indexed: 04/12/2024]
Abstract
PURPOSE Living with type 1 diabetes requires burdensome and complex daily diabetes self-management behaviors. This study aimed to determine the association between integrated behavior performance and HbA1c, while identifying the behavior with the most significant impact on HbA1c. METHODS A simple and feasible questionnaire was used to collect diabetes self-management behavior in patients with type 1 diabetes (n = 904). We assessed six dimensions of behavior performance: continuous glucose monitor (CGM) usage, frequent glucose testing, insulin pump usage, carbohydrate counting application, adjustment of insulin doses, and usage of apps for diabetes management. We evaluated the association between these behaviors and HbA1c. RESULTS In total, 21.3% of patients performed none of the allotted behavior, while 28.5% of patients had a total behavior score of 3 or more. 63.6% of patients with a behavior score ≥ 3 achieved HbA1c goal, contrasting with only 30.4% of patients with a behavior score of 0-1. There was a mean 0.54% ± 0.05% decrease in HbA1c for each 1-unit increase in total behavior score after adjustment for age, family education and diabetes duration. Each behavior was independently correlated with a lower HbA1c level, with CGM having the most significant effect on HbA1c levels. CONCLUSIONS Six optimal self-management behaviors, especially CGM usage, were associated with improved glycemic control, emphasizing the feasibility of implementing a simplified version of DSMES in the routine clinical care. REGISTRATION NUMBER ClinicalTrials.gov Identifier: NCT03610984.
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Chen Y, Qi Y, Pu R, Lin H, Wang W, Sun B. CT histogram analysis to distinguish between acute intracerebral hemorrhage and cavernous hemangioma. Clin Radiol 2024; 79:872-879. [PMID: 39129104 DOI: 10.1016/j.crad.2024.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/21/2024] [Accepted: 07/16/2024] [Indexed: 08/13/2024]
Abstract
OBJECTIVE Acute intracerebral hemorrhage (AICH) and cerebral cavernous hemangioma (CCM) are two common cerebral hemorrhage diseases with partially overlapping CT findings and clinical symptoms, making it hard to distinguish between them. The current study used histogram analysis based on CT images to differentiate between CCM and AICH and test its diagnosis performance. METHODS This retrospective study included 158 patients with CCM and 137 patients with AICH. The histograms of brain CT plain scan images of both groups were extracted using Python code and included 18 histogram parameters of the lesions. The most effective parameters were selected by univariate logistic regression analysis and Spearman correlation analysis and included in the final multivariate logistic regression model. The sample was randomly divided into the training set and the validation set by 7:3. The ROC curve was constructed to evaluate the discriminant efficiency of the final logistic regression model in distinguishing between AICH and CCM. RESULTS The univariate analysis identified seven significant histogram parameters with the following final logistic regression model: F = 3.731 + 2.6411 × 10-9 × Energy-1.192 × Kurtosis-0.003 × Minimum-1.449 × Skewness + 2.5002 × 10-10 × Total Energy-1.103 × Uniformity+0.009 × Variance. The model showed good diagnostic performance in distinguishing between AICH and CCM, with an AUC of 0.876, sensitivity of 70.8%, and specificity of 91.9% in the training set, and an AUC of 0.870, sensitivity of 82.9%, and specificity of 85.1% in the validation set. CONCLUSIONS The histogram analysis of brain CT images can be used as an auxiliary method to distinguish between AICH and CCM effectively.
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Chew SM, Ferraro E, Chen Y, Barrio AV, Kelly D, Modi S, Seidman AD, Wen H, Brogi E, Robson M, Dang CT. Invasive disease-free survival and brain metastasis rates in patients treated with neoadjuvant chemotherapy with trastuzumab and pertuzumab. NPJ Breast Cancer 2024; 10:96. [PMID: 39468041 PMCID: PMC11519861 DOI: 10.1038/s41523-024-00631-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 03/12/2024] [Indexed: 10/30/2024] Open
Abstract
Patients with HER2(+) early breast cancer (EBC) receiving neoadjuvant systemic therapy (NAST) have poorer outcomes if they have residual disease (RD). We analyzed IDFS and brain metastasis (BM) rates in patients with HER2(+) EBC treated with NAST and report the outcomes of patients with HER2(-) RD. Patients with HER2(+) EBC who received NAST between 1 Jan 2019 and 31 Jan 2022 were reviewed. IDFS was defined as the time from surgery until first occurrence of invasive breast cancer recurrence, distant recurrence, or death from any cause. The total cohort was 594 patients. pCR (ypT0/isN0) was achieved in 325(55%) and RD was seen in 269(45%) patients. In 269 patients with RD, 45(17%) did not have HER2 retesting and were excluded. In the remaining 224 patients, 143(64%) were HER2(+) and 81(36%) were HER2(-). With a median follow up of 24 months, 8 patients developed BM at initial recurrence, 4/325(1.2%) with pCR and 4/143(2.8%) with HER2(+) RD. IDFS events occurred in 22/594(3%) patients; 14/269(5%) in RD and 8/325(2%) in pCR (p = 0.04). There was no difference in IDFS between 9/143(6%) patients with HER2(+) RD or 5/81(6%) with HER2(-) RD (p = 0.10). Patients with RD had higher IDFS events than those with pCR. In those with RD, 36% lost HER2(+) status; IDFS events appeared similar in those with HER2(+) RD versus those with HER2(-) RD. The BM events seen in those with RD and pCR highlights the need for more effective therapy in NAST and adjuvant setting to minimize BM risk.
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Chen Y, Sebio-García R, Iglesias-Garcia E, Reguart N, Martinez-Palli G, Bello I. Prehabilitation for patients undergoing neoadjuvant therapy prior to cancer resection: a systematic review and meta-analysis. Support Care Cancer 2024; 32:749. [PMID: 39466349 DOI: 10.1007/s00520-024-08941-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 10/13/2024] [Indexed: 10/30/2024]
Abstract
PURPOSE To determine the effectiveness of uni- or multimodal prehabilitation on several outcomes in patients undergoing neoadjuvant therapy before cancer surgery. METHODS A systematic search was carried on May 1, 2023, using four major databases (SCOPUS, Web of Science, Medline (Ovid and Pubmed)) and updated monthly until February 2024. Inclusion criteria included (i) any original articles (any design), (ii) adult patients undergoing neoadjuvant therapy (NAT) prior to surgical resection, (iii) participation in uni- or multimodal prehabilitation programs during NAT, and (iv) reporting on any functional, treatment-related, or perioperative outcome. Two reviewers independently conducted the search and screened all records. Risk of bias was assessed using the Johanna Briggs Institute Appraisal Tools independently by two reviewers. A random-effects meta-analysis was performed for all outcomes with two or more studies. RESULTS A total of 30 records met the inclusion criteria and were analyzed. Studies showed that prehabilitation during NAT can be feasible in most settings and increase or prevent the loss of cardiorespiratory fitness (CRF), maintain or improve muscle mass, and improve pathological response and treatment completion compared to no prehabilitation, but the certainty of the evidence is low to moderate. However, according to our findings, prehabilitation has little to no effect on postoperative complications and length of hospital stay as well as in health-related quality of life. CONCLUSIONS Prehabilitation during NAT might be feasible and associated with improvements in cardiorespiratory fitness, muscle mass, and treatment response/completion with low-to-moderate certainty of evidence. Insufficient data on safety is available at this stage.
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Chen Y, Ye XR, Luo LJ, Zhang ZJ, Xiong WW, Yang HG, Peng YH, Lin ZY, Zhang ZX, Wang W. [Application of anterior esophageal wall full layer fixation and gastric tube guidance in total laparoscopic overlap method for intracorporeal esophagojejunostomy]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2024; 27:1074-1079. [PMID: 39428231 DOI: 10.3760/cma.j.cn441530-20240304-00084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/22/2024]
Abstract
Objective: To explore the application of anterior esophageal wall full layer fixation and gastric tube guidance in total laparoscopic overlap method for intracorporeal esophagojejunostomy. Methods: Overlap esophagojejunostomy with anterior esophageal wall full layer fixation and gastric tube guidance is suitable for patients with advanced gastric cancer (clinical stage: cT1b~4aN0~3M0) and esophageal invasion <3 cm, who underwent radical total gastrectomy+ overlap esophagojejunostomy. The main operation procedure was performed as follows: A titanium clip was used for fixation of the full anterior wall of esophagus before overlap esophagojejunostomy, and the side-to-side esophagojejunostomy was performed with the linear stapler under the guidance of gastric tube. Then the titanium clip was removed after confirming that the correct cavity was entered. Finally, the common outlet was closed by two barbed sutures. A descriptive case series study was conducted. The clinical data of patients who underwent laparoscopic radical gastrectomy and overlap esophagojejunostomy with anterior esophageal wall full layer fixation and gastric tube guidance in Guangdong Provincial Hospital of Chinese medicine and the First Affiliated Hospital of Guangzhou University of Chinese medicine from May 2021 to June 2023 were retrospectively analyzed. Results: A total of 42 patients were collected, and all of them were successfully completed laparoscopic total radical gastrectomy without conversion to laparotomy or perioperative death. The esophagojejunostomy time, operative time, intraoperative blood loss was 17(5-25) minutes, (258.8±38.0) minutes and 50(20-200) ml, respectively. The incidence of esophageal false lumen was 0%, and there were no intraoperative complications. The time of gastric tube removal, initial fluid diet intake and the duration of postoperative hospital were 2(1-5) , 4(1-8) and 8(4-21) days, respectively. There were no postoperative anastomotic hemorrhage, anastomotic stenosis and other related complications. One patient (2.38%) developed a Clavien-Dindo IIIb complication, which was abdominal hemorrhage after operation. The second surgical exploration confirmed that the patient was bleeding due to gastroduodenal artery rupture. After intraoperative suture hemostasis, fluid expansion, blood transfusion and other treatments, the patient was discharged on the 15th day after the operation. Three patients (7.14%) developed Clavien-Dindo grade II complications, including anastomotic leakage, chylous leakage and pulmonary infection, and were discharged after conservative treatment such as anti-infection and prolonged retention of drainage tube. Conclusions: Laparoscopic overlap method for intracorporeal esophagojejunostomy with anterior esophageal wall fixation and gastric tube guidance can shorten the time of esophagojejunostomy and prevent the occurrence of false lumen, and do not increase anastomose-related complications.
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Chen Y, Song BH, Li G, Chen P, Huang SP, Liao ZJ, Xu R, Li YR. [Results of the cancer screening program in urban areas in Shaanxi province of China, 2019-2020]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2024; 46:948-953. [PMID: 39414595 DOI: 10.3760/cma.j.cn112152-20231020-00208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/18/2024]
Abstract
Objective: Analyze the cancer screening status of the cancer screening program in urban areas in Shaanxi province in 2019-2020. Methods: The early diagnosis and early treatment project for urban cancers carried out high-risk population screening for 5 types of high-incidence malignant tumors (breast cancer, lung cancer, upper gastrointestinal cancer, liver cancer, and colorectal cancer) in urban areas. Three prefecture-level cities in Shaanxi province with a population of over 1 million (Xi'an, Baoji, and Shangluo) were selected, and 4 communities with a relatively good working foundation were selected in each city. The general population aged 45-74 years was surveyed on the principles of informed consent and voluntariness, and high-risk groups identified through the questionnaire were further subjected to free endoscopy, ultrasound, CT, and other clinical screenings. The high-risk rates, screening compliance rates, and positive detection rates of the above 5 types of malignant tumors were analyzed. Results: A total of 19 632 people completed the survey effectively, with the proportion of male participants (40.0%) lower than that of females (60.0%). A total of 10 102 high-risk groups were identified, with an initial screening high-risk rate of 51.5%, and the high-risk rates for the 5 types of cancers were 24.1% for breast cancer, 28.6% for lung cancer, 9.1% for upper gastrointestinal cancer, 4.0% for liver cancer, and 20.0% for colorectal cancer. Among the 14 960 person-time initially assessed as high-risk, 5 129 person-time received clinical screening, with a screening compliance rate of 34.3%. The number of people receiving clinical screening and the screening compliance rates for the 5 types of cancers were 1 192 (41.9%) for breast cancer, 2 081 (37.1%) for lung cancer, 574 (32.0%) for upper gastrointestinal cancer, 404 (51.3%) for liver cancer, and 878 (22.3%) for colorectal cancer, with positive detection numbers and rates of 179 (15.0%) for breast, 289 (13.9%) for lung, 9 (1.6%) for upper gastrointestinal, 14 (3.5%) for suspected liver, and 67 (7.6%) for colorectal, respectively. Conclusion: The cancer screening status of the cancer screening program in urban areas in Shaanxi province is beneficial for the detection of precancerous lesions and early cancer patients, and improving the early diagnosis and treatment rate of patients, but the public participation rate is not high, and the project management model and technical plan need to be further improved.
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Martin KM, Chen Y, Mayfield MA, Montero-Astua M, Whitfield AE. Visualizing tomato spotted wilt virus protein localization: Cross-kingdom comparisons of protein-protein interactions. MOLECULAR PLANT-MICROBE INTERACTIONS : MPMI 2024. [PMID: 39436195 DOI: 10.1094/mpmi-09-24-0108-r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/23/2024]
Abstract
Tomato spotted wilt virus (TSWV) is an orthotospovirus that infects both plants and insect vectors. Understanding the protein localization and interactions is crucial for unraveling the infection cycle and host-virus interactions. We investigated and compared the localization of TSWV proteins. A change in localization over time was associated with the viral proteins that did not contain signal peptides and transmembrane domains such as N, NSs and NSm, however, this only occurred in the plant cells, not in the insect cells. The localization between plants and insects otherwise was consistent indicating a similar mechanism is utilized by the virus in both types of cells. We also tested the localization of the proteins during an active plant infection using free RFP as a marker to highlight the nucleus and cytoplasm. Voids in the cytoplasm were shown only during infection and N, NSs, NSm and to lesser extent, GN and GC, were surrounding these areas suggesting it may be a site of replication or morphogenesis. Furthermore, we tested the interactions of viral proteins using both bimolecular fluorescence complementation (BiFC) and membrane-based yeast two-hybrid (MbY2H) assays. These revealed self-interactions of NSm, N, GN, GC, and NSs. We also identified interactions between different TSWV proteins, indicating their roles and host interactions, such as between NSs and GC and N and GC which may be necessary during the replication and assembly processes respectively. This research expands our knowledge of TSWV infection and elaborates on the intricate relationships between viral proteins, cellular dynamics, and host responses.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Valle AED, Hussain PS, Jeitler M, Krammer N, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Mechelen PV, Bols ES, D’Hondt J, Dansana S, De Moor A, Delcourt M, El Faham H, Lowette S, Makarenko I, Müller D, Sahasransu AR, Tavernier S, Tytgat M, Van Putte S, Vannerom D, Clerbaux B, De Lentdecker G, Favart L, Hohov D, Jaramillo J, Khalilzadeh A, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Bemden MV, Velde CV, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Rendón C, Samalan A, Skovpen K, Bossche NVD, Wezenbeek L, Benecke A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Mondal K, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, De Oliveira TM, Moraes A, Teles PR, Soeiro M, Júnior WLA, Pereira MAG, Filho MBF, Malbouisson HB, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, De Souza SF, Martins J, Herrera CM, Amarilo KM, Mundim L, Nogima H, Santoro A, Sznajder A, Thiel M, Pereira AV, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Ivanov T, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Guo Q, Javaid T, Mittal M, Yuan L, Bauer G, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Monti F, Shahzad MA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Gao X, Leggat D, Okawa H, Zhang Y, Lin Z, Lu C, Xiao M, Avila C, Trujillo DAB, Cabrera A, Florez C, Fraga J, Vega JAR, Guisao JM, Ramirez F, Rodriguez M, Alvarez JDR, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Jarrin EC, Abdalla H, Assran Y, Al-Mashad MA, Mahmoud MA, Dewanjee RK, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Havukainen J, Kallonen KTS, Kim MS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Lotti M, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Tuuva T, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, de Monchenault GH, Lohezic V, Malcles J, Rander J, Rosowsky A, Sahin MÖ, Savoy-Navarro A, Simkina P, Titov M, Tornago M, Barrera CB, Beaudette F, Perraguin AB, Busson P, Cappati A, Charlot C, Damas F, Davignon O, De Wit A, Falmagne G, Alves BAFS, Ghosh S, Gilbert A, de Cassagnac RG, Hakimi A, Harikrishnan B, Kalipoliti L, Liu G, Motta J, Nguyen M, Ochando C, Portales L, Salerno R, Sarkar U, Sauvan JB, Sirois Y, Tarabini A, Vernazza E, Zabi A, Zghiche A, Agram JL, Andrea J, Apparu D, Bloch D, Brom JM, Chabert EC, Collard C, Falke S, Goerlach U, Grimault C, Haeberle R, Bihan ACL, Sessini MA, Hove PV, Beauceron S, Blancon B, Boudoul G, Chanon N, Choi J, Contardo D, Depasse P, Dozen C, Mamouni HE, Fay J, Gascon S, Gouzevitch M, Greenberg C, Grenier G, Ille B, Laktineh IB, Lethuillier M, Mirabito L, Perries S, Purohit A, Donckt MV, Verdier P, Xiao J, Adamov G, Lomidze I, Tsamalaidze Z, Botta V, Feld L, Klein K, Lipinski M, Meuser D, Pauls A, Röwert N, Teroerde M, Diekmann S, Dodonova A, Eich N, Eliseev D, Engelke F, Erdmann M, Fackeldey P, Fischer B, Hebbeker T, Hoepfner K, Ivone F, Jung A, Lee MY, Mastrolorenzo L, Merschmeyer M, Meyer A, Mukherjee S, Noll D, Novak A, Nowotny F, Pozdnyakov A, Rath Y, Redjeb W, Rehm F, Reithler H, Sarkisovi V, Schmidt A, Sharma A, Stein A, Da Silva De Araujo FT, Vigilante L, Wiedenbeck S, Zaleski S, Dziwok C, Flügge G, Ahmad WH, Kress T, Nowack A, Pooth O, Stahl A, Ziemons T, Zotz A, Petersen HA, Martin MA, Alimena J, Amoroso S, An Y, Baxter S, Bayatmakou M, Gonzalez HB, Behnke O, Belvedere A, Bhattacharya S, Blekman F, Borras K, Brunner D, Campbell A, Cardini A, Cheng C, Colombina F, Rodríguez SC, Silva GC, De Silva M, Eckerlin G, Eckstein D, Banos LIE, Filatov O, Gallo E, Geiser A, Giraldi A, Greau G, Guglielmi V, Guthoff M, Hinzmann A, Jafari A, Jeppe L, Jomhari NZ, Kaech B, Kasemann M, Kaveh H, Kleinwort C, Kogler R, Komm M, Krücker D, Lange W, Pernia DL, Lipka K, Lohmann W, Mankel R, Melzer-Pellmann IA, Morentin MM, Metwally J, Meyer AB, Milella G, Mussgiller A, Nürnberg A, Otarid Y, Adán DP, Ranken E, Raspereza A, Lopes BR, Rübenach J, Saggio A, Scham M, Schnake S, Schütze P, Schwanenberger C, Selivanova D, Shchedrolosiev M, Ricardo RES, Pramod LPS, Stafford D, Vazzoler F, Barroso AV, Walsh R, Wang Q, Wen Y, Wichmann K, Wiens L, Wissing C, Wuchterl S, Yang Y, Santos AZC, Albrecht A, Albrecht S, Antonello M, Bein S, Benato L, Bonanomi M, Connor P, Eich M, El Morabit K, Fischer Y, Fröhlich A, Garbers C, Garutti E, Grohsjean A, Hajheidari M, Haller J, Jabusch HR, Kasieczka G, Keicher P, Klanner R, Korcari W, Kramer T, Kutzner V, Labe F, Lange J, Lobanov A, Matthies C, Mehta A, Moureaux L, Mrowietz M, Nigamova A, Nissan Y, Paasch A, Rodriguez KJP, Quadfasel T, Raciti B, Rieger M, Savoiu D, Schindler J, Schleper P, Schröder M, Schwandt J, Sommerhalder M, Stadie H, Steinbrück G, Tews A, Wolf M, Brommer S, Burkart M, Butz E, Chwalek T, Dierlamm A, Droll A, Faltermann N, Giffels M, Gottmann A, Hartmann F, Hofsaess R, Horzela M, Husemann U, Klute M, Koppenhöfer R, Link M, Lintuluoto A, Maier S, Mitra S, Mormile M, Müller T, Neukum M, Oh M, Quast G, Rabbertz K, 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Observation of the Λ b 0 → J / ψ Ξ - K + decay. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2024; 84:1062. [PMID: 39422214 PMCID: PMC11480154 DOI: 10.1140/epjc/s10052-024-13114-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 07/08/2024] [Indexed: 10/19/2024]
Abstract
Using proton-proton collision data corresponding to an integrated luminosity of 140 fb - 1 collected by the CMS experiment ats = 13 Te V , theΛ b 0 → J / ψ Ξ - K + decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to theΛ b 0 → ψ ( 2 S ) Λ decay, is measured to be B ( Λ b 0 → J / ψ Ξ - K + ) / B ( Λ b 0 → ψ ( 2 S ) Λ ) = [ 3.38 ± 1.02 ± 0.61 ± 0.03 ] % , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in B ( ψ ( 2 S ) → J / ψ π + π - ) and B ( Ξ - → Λ π - ) .
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Grants
- SC
- Austrian Federal Ministry of Education, Science and Research
- Austrian Science Fund
- Belgian Fonds de la Recherche Scientifique
- Belgian Fonds voor Wetenschappelijk Onderzoek
- CNPq
- CAPES
- FAPERJ
- FAPERGS
- FAPESP
- Bulgarian Ministry of Education and Science
- Bulgarian National Science Fund
- CERN
- Chinese Academy of Sciences
- Ministry of Science and Technology
- Chinese National Natural Science Foundation of China
- Colombian Funding Agency (MINICIENCIAS)
- Croatian Ministry of Science, Education and Sport
- Croatian Science Foundation
- Research and Innovation Foundation
- SENESCYT
- Estonian Research Council via PRG780, PRG803, RVTT3 and TK202
- Academy of Finland
- Finnish Ministry of Education and Culture
- Helsinki Institute of Physics
- Institut National de Physique Nucléaire et de Physique des Particules
- Centre National de la Recherche Scientifique
- Commissariat á l’Énergie Atomique et aux Énergies Alternatives
- Shota Rustaveli National Science Foundation
- Bundesministerium für Bildung und Forschung
- Deutsche Forschungsgemeinschaft
- Helmholtz-Gemeinschaft Deutscher Forschungszentren
- General Secretariat for Research and Innovation
- National Research, Development and Innovation Office
- Department of Atomic Energy
- Department of Science and Technology
- ICSC -National Research Centre for High Performance Computing, Big Data and Quantum Computing, funded by the EU NexGeneration program
- Institute for Research in Fundamental Studies
- Science Foundation
- Istituto Nazionale di Fisica Nucleare
- Korean Ministry of Education, Science and Technology
- National Research Foundation of Korea (NRF)
- MES
- Lithuanian Academy of Sciences
- Ministry of Education
- University of Malaya
- BUAP
- CINVESTAV
- CONACYT
- LNS
- SEP
- UASLP
- MOS
- Ministry of Business, Innovation and Employment
- Pakistan Atomic Energy Commission
- Ministry of Educaton and Science
- National Science Centre
- Fundação para a Ciência e a Tecnologia, CERN/FIS-PAR/0025/2019 and CERN/FIS-INS/0032/2019
- JINR, Dubna
- Ministry of Education and Science of the Russian Federation
- Federal Agency of Atomic Energy of the Russian Federation
- Russian Academy of Sciences
- Russian Foundation for Basic Research
- National Research Center “Kurchatov Institute"
- Ministry of Education, Science and Technological Development of Serbia
- MCIN/AEI/10.13039/501100011033, ERDF “a way of making Europe”
- Fondo Europeo de Desarrollo Regional, Spain
- Plan de Ciencia, Tecnología e Innovación del Principado de Asturias
- MOSTR
- ETH Board
- ETH Zurich
- PSI
- SNF
- UniZH
- Canton Zurich
- SER
- Ministry of Science and Technology
- Ministry of Higher Education, Science, Research and Innovation
- National Science and Technology Development Agency of Thailand
- Scientific and Technical Research Council of Turkey
- Turkish Atomic Energy Authority
- National Academy of Sciences of Ukraine
- Science and Technology Facilities Council
- US Department of Energy
- US National Science Foundation
- Marie-Curie programme
- European Research Council and EPLANET (European Union)
- European Research Council/European Cooperation in Science and Technology), Action CA16108
- Horizon 2020 Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093 (European Union)
- Leventis Foundation
- Alfred P. Sloan Foundation
- Alexander von Humboldt Foundation
- Science Committee, project no. 22rl-037
- Belgian Federal Science Policy Office
- Fonds pour la Formation á la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium)
- Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium)
- Belgian Fonds de la Recherche Scientifique, "Excellence of Science - EOS" - be.h project n. 30820817
- Belgian Fonds voor Wetenschappelijk Onderzoek, "Excellence of Science - EOS" - be.h project n. 30820817
- Beijing Municipal Science & Technology Commission, No. Z191100007219010
- Fundamental Research Funds for the Central Universities
- Ministry of Education, Youth and Sports (MEYS) of the Czech Republic
- Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy - EXC 2121 "Quantum Universe" – 390833306
- Deutsche Forschungsgemeinschaft (DFG), project number 400140256 - GRK2497
- Hellenic Foundation for Research and Innovation, Project Number 2288
- Hungarian Academy of Sciences
- New National Excellence Program - ÚNKP, the NKFIH research grants K 124845, K 124850, K 128713, K 128786, K 129058, K 131991, K 133046, K 138136, K 143460, K 143477, 2020-2.2.1-ED-2021-00181, and TKP2021-NKTA-64
- Council of Scientific and Industrial Research, India
- Latvian Council of Science
- Ministy of Education and Science, project no. 2022/WK/14
- National Science Center, Opus 2021/41/B/ST2/01369 and 2021/43/B/ST2/01552
- Fundação para a Ciência e a Tecnologia, CEECIND/01334/2018
- National Priorities Research Program by Qatar National Research Fund
- Ministry of Science and Higher Education, project no. FSWU-2023-0073 and FSWW-2020-0008
- Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia María de Maeztu, grant MDM-2017-0765 and projects PID2020-113705RB, PID2020-113304RB, PID2020-116262RB and PID2020-113341RB-I00
- Programa Severo Ochoa del Principado de Asturias
- CUAASC
- National Science, Research and Innovation Fund via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation, grant B37G660013
- Kavli Foundation
- Nvidia Corporation
- Welch Foundation, contract C-1845
- Weston Havens Foundation
- Institut für Hochenergiephysik (HEPHY) using the Cloud Infrastructure Platform (CLIP), Vienna
- Inter-University Institute for High Energies, Brussels
- Université Catholique de Louvain, Louvain-la-Neuve
- São Paulo Research and Analysis Center, São Paulo
- Universidade do Estado do Rio de Janeiro, Rio de Janeiro
- University of Sofia, Sofia
- Institute of High Energy Physics of the Chinese Academy of Sciences, Beijing
- National Institute of Chemical Physics and Biophysics, Tallinn
- Helsinki Institute of Physics, Helsinki
- Grille de Recherche d’Ile de France (GRIF), Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette, France and Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris
- Institut de recherche sur les lois fondamentales de l’Univers, CEA, Université Paris-Saclay, Gif-sur-Yvette
- Institut national de physique nucléaire et de physique des particules, IN2P3, Villeurbanne
- Institut Pluridisciplinaire Hubert Curien (IPHC), Strasbourg
- Laboratoire Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau
- Deutsches Elektronen-Synchrotron, Hamburg
- Karlsruher Institut für Technologie, Karlsruhe
- RWTH Aachen University, Aachen
- University of Ioánnina, Ioánnina
- Wigner Research Centre for Physics, Budapest
- Tata Institute of Fundamental Research, Mumbai
- INFN CNAF, Bologna
- INFN Sezione di Bari, Universitá di Bari, Politecnico di Bari, Bari
- INFN Sezione di Pisa, Universitá di Pisa, Scuola Normale Superiore di Pisa, Pisa
- INFN Sezione di Roma, Sapienza Universitá di Roma, Rome
- INFN Sezione di Trieste, Universitá di Trieste, Trieste
- Laboratori Nazionali di Legnaro, Legnaro
- Kyungpook National University, Daegu
- National Centre for Physics, Quaid-I-Azam University, Islamabad
- Akademickie Centrum Komputerowe Cyfronet AGH, Krakow
- National Centre for Nuclear Research, Swierk
- Laboratório de Instrumentação e Física Experimental de Partículas, Lisboa
- Institute for High Energy Physics of National Research Centre ‘Kurchatov Institute’, Protvino
- Institute for Nuclear Research (INR) of the Russian Academy of Sciences, Troitsk
- Institute for Theoretical and Experimental Physics named by A.I. Alikhanov of NRC ’Kurchatov Institute’, Moscow
- Joint Institute for Nuclear Research, Dubna
- Korea Institute of Science and Technology Information (KISTI), Daejeon
- Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid
- Instituto de Física de Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander
- Port d’Informació Científica, Bellaterra
- CERN, European Organization for Nuclear Research, Geneva
- CSCS - Swiss National Supercomputing Centre, Lugano
- Instrumentation and Detector Consortium, Taipei
- National Center for High-performance Computing (NCHC), Hsinchu City
- Middle East Technical University, Physics Department, Ankara
- National Scientific Center, Kharkov Institute of Physics and Technology, Kharkov
- GridPP, Brunel University, Uxbridge
- GridPP, Imperial College, London
- GridPP, Queen Mary University of London, London
- GridPP, Royal Holloway, University of London, London
- GridPP, Rutherford Appleton Laboratory, Didcot
- GridPP, University of Bristol, Bristol
- GridPP, University of Glasgow, Glasgow
- GridPP, University of Oxford, Oxford
- Baylor University, Waco
- California Institute of Technology, Pasadena
- Fermi National Accelerator Laboratory, Batavia
- Massachusetts Institute of Technology, Cambridge
- National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility, Berkeley
- Open Science Grid (OSG) Consortium
- Pittsburgh Supercomputing Center (PSC), Pittsburgh
- Purdue University, West Lafayette
- San Diego Supercomputer Center (SDSC), La Jolla
- Texas Advanced Computing Center (TACC), Austin
- University of California, San Diego, La Jolla
- University of Colorado Boulder, Boulder
- University of Florida, Gainesville
- University of Nebraska-Lincoln, Lincoln
- University of Wisconsin-Madison, Madison
- Vanderbilt University, Nashville
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J, Salas AS, Salvatore D, Salvatore F, Salzburger A, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Pineda AS, Sebastian VS, Sandaker H, Sander C, Sandesara J, Sandhoff M, Sandoval C, Sankey D, Sano T, Sansoni A, Santi L, Santoni C, Santos H, Santpur S, Santra A, Saoucha K, Saraiva J, Sardain J, Sasaki O, Sato K, Sauer C, Sauerburger F, Sauvan E, Savard P, Sawada R, Sawyer C, Sawyer L, Galvan IS, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schaefer D, Schäfer U, Schaffer A, Schaile D, Schamberger R, Scharf C, Schefer M, Schegelsky V, Scheirich D, Schenck F, Schernau M, Scheulen C, Schiavi C, Schioppa E, Schioppa M, Schlag B, Schleicher K, Schlenker S, Schmeing J, Schmidt M, Schmieden K, Schmitt C, Schmitt S, Schoeffel L, Schoening A, Scholer P, Schopf E, Schott M, Schovancova J, Schramm S, Schroeder F, Schroer T, Schultz-Coulon HC, Schumacher M, Schumm B, Schune P, Schuy A, Schwartz H, Schwartzman A, Schwarz T, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scuri F, Sebastiani C, Sedlaczek K, Seema P, Seidel S, Seiden A, Seidlitz B, Seitz C, Seixas J, Sekhniaidze G, Sekula S, Selem L, Semprini-Cesari N, Sengupta D, Senthilkumar V, Serin L, Serkin L, Sessa M, Severini H, Sforza F, Sfyrla A, Shabalina E, Shaheen R, Shahinian J, Renous DS, Shan L, Shapiro M, Sharma A, Sharma A, Sharma P, Sharma S, Shatalov P, Shaw K, Shaw S, Shcherbakova A, Shen Q, Sherwood P, Shi L, Shi X, Shimmin C, Shinner J, Shipsey I, Shirabe S, Shiyakova M, Shlomi J, Shochet M, Shojaii J, Shope D, Shrestha B, Shrestha S, Shrif E, Shroff M, Sicho P, Sickles A, Haddad ES, Sidoti A, Siegert F, Sijacki D, Sikora R, Sili F, Silva J, Oliveira MS, Silverstein S, Simion S, Simoniello R, Simpson E, Simpson H, Simpson L, Simpson N, Simsek S, Sindhu S, Sinervo P, Singh S, Sinha S, Sinha S, Sioli M, Siral I, Sitnikova E, Sivoklokov S, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Smakhtin V, Smart B, Smiesko J, Smirnov S, Smirnov Y, Smirnova L, Smirnova O, Smith A, Smith E, Smith H, Smith J, Smith R, Smizanska M, Smolek K, Snesarev A, Snider S, Snoek H, Snyder S, Sobie R, Soffer A, Sanchez CS, Soldatov E, Soldevila U, Solodkov A, Solomon S, Soloshenko A, Solovieva K, Solovyanov O, Solovyev V, Sommer P, Sonay A, Song W, Sonneveld J, Sopczak A, Sopio A, Sopkova F, Sothilingam V, Sottocornola S, Soualah R, Soumaimi Z, South D, Soybelman N, Spagnolo S, Spalla M, Sperlich D, Spigo G, Spinali S, Spiteri D, Spousta M, Staats E, Stabile A, Stamen R, Stampekis A, Standke M, Stanecka E, Stange M, Stanislaus B, Stanitzki M, Stapf B, Starchenko E, Stark G, Stark J, Starko D, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Steentoft J, Steinberg P, Stelzer B, Stelzer H, Stelzer-Chilton O, Stenzel H, Stevenson T, Stewart G, Stewart J, Stockton M, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom D, Strom L, Stroynowski R, Strubig A, Stucci S, Stugu B, Stupak J, Styles N, Su D, Su S, Su W, Su X, Sugizaki K, Sulin V, Sullivan M, Sultan D, Sultanaliyeva L, Sultansoy S, Sumida T, Sun S, Sun S, Gudnadottir OS, Sur N, Sutton M, Suzuki H, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Vargas JT, Takeva E, Takubo Y, Talby M, Talyshev A, Tam K, Tamir N, Tanaka A, Tanaka J, Tanaka R, Tanasini M, Tao Z, Araya ST, Tapprogge S, Mohamed ATA, Tarem S, Tariq K, Tarna G, Tartarelli G, Tas P, Tasevsky M, Tassi E, Tate A, Tateno G, Tayalati Y, Taylor G, Taylor W, Teagle H, Tee A, De Lima RT, Teixeira-Dias P, Teoh J, Terashi K, Terron J, Terzo S, Testa M, Teuscher R, Thaler A, Theiner O, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas D, Thomas J, Thompson E, Thompson P, Thomson E, Tian Y, Tikhomirov V, Tikhonov Y, Timoshenko S, Timoshyn D, Ting E, Tipton P, Tlou S, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Toldaiev O, Tombs R, Tomoto M, Tompkins L, Topolnicki K, Torrence E, Torres H, Pastor ET, Toscani M, Tosciri C, Tost M, Tovey D, Traeet A, Trandafir I, Trefzger T, Tricoli A, Trigger I, Trincaz-Duvoid S, Trischuk D, Trocmé B, Troncon C, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsai M, Tsiamis A, Tsiareshka P, Tsigaridas S, Tsirigotis A, Tsiskaridze V, Tskhadadze E, Tsopoulou M, Tsujikawa Y, Tsukerman I, Tsulaia V, Tsuno S, Tsur O, Tsuri K, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna A, Turchikhin S, Cakir IT, Turra R, Turtuvshin T, Tuts P, Tzamarias S, Tzanis P, Tzovara E, Ukegawa F, Poblete PU, Umaka E, Unal G, Unal M, Undrus A, Unel G, Urban J, Urquijo P, Usai G, Ushioda R, Usman M, Uysal Z, Vacavant L, Vacek V, Vachon B, Vadla K, Vafeiadis T, Vaitkus A, Valderanis C, Santurio EV, Valente M, Valentinetti S, Valero A, Moreno EV, Vallier A, Ferrer JV, Van Arneman D, Van Daalen T, Van Der Graaf A, Van Gemmeren P, Van Rijnbach M, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall E, Vannicola D, Vannoli L, Vari R, Varnes E, Varni C, Varol T, Varouchas D, Varriale L, Varvell K, Vasile M, Vaslin L, Vasquez G, Vasyukov A, Vazeille F, Schroeder TV, Veatch J, Vecchio V, Veen M, Veliscek I, Veloce L, Veloso F, Veneziano S, Ventura A, Gonzalez SV, Verbytskyi A, Verducci M, Vergis C, De Araujo MV, Verkerke W, Vermeulen J, Vernieri C, Vessella M, Vetterli M, Vgenopoulos A, Maira NV, Vickey T, Boeriu OV, Viehhauser G, Vigani L, Villa M, Perez MV, Villhauer E, Vilucchi E, Vincter M, Virdee G, Vishwakarma A, Visibile A, Vittori C, Vivarelli I, Vladimirov V, Voevodina E, Vogel F, Vokac P, Volkotrub Y, Von Ahnen J, Von Toerne E, Vormwald B, Vorobel V, Vorobev K, Vos M, Voss K, Vossebeld J, Vozak M, Vozdecky L, Vranjes N, Milosavljevic MV, Vreeswijk M, Vu N, Vuillermet R, Vujinovic O, Vukotic I, Wada S, Wagner C, Wagner J, Wagner W, Wahdan S, Wahlberg H, Wakida M, Walder J, Walker R, Walkowiak W, Wall A, Wamorkar T, Wang A, Wang C, Wang C, Wang H, Wang J, Wang RJ, Wang R, Wang R, Wang S, Wang S, Wang T, Wang W, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward R, Warrack N, Watson A, Watson H, Watson M, Watton E, Watts G, Waugh B, Weber C, Weber H, Weber M, Weber S, Wei C, Wei Y, Weidberg A, Weik E, Weingarten J, Weirich M, Weiser C, Wells C, Wenaus T, Wendland B, Wengler T, Wenke N, Wermes N, Wessels M, Wharton A, White A, White A, White M, Whiteson D, Wickremasinghe L, Wiedenmann W, Wiel C, Wielers M, Wiglesworth C, Wilbern D, Wilkens H, Williams D, Williams H, Williams S, Willocq S, Wilson B, Windischhofer P, Winkel F, Winklmeier F, Winter B, Winter J, Wittgen M, Wobisch M, Wolffs Z, Wölker R, Wollrath J, Wolter M, Wolters H, Wongel A, Worm S, Wosiek B, Woźniak K, Wozniewski S, Wraight K, Wu C, Wu J, Wu M, Wu M, Wu S, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt T, Wynne B, Xella S, Xia L, Xia M, Xiang J, Xie M, Xie X, Xin S, Xiong J, Xu D, Xu H, Xu L, Xu R, Xu T, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi Y, Yamashita E, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang H, Yang H, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Y, Yang Z, Yao WM, Yap Y, Ye H, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yeo B, Yexley M, Yin P, Yorita K, Younas S, Young C, Young C, Yu Y, Yuan M, Yuan R, Yue L, Zaazoua M, Zabinski B, Zaid E, Zakareishvili T, Zakharchuk N, Zambito S, Saa JZ, Zang J, Zanzi D, Zaplatilek O, Zeitnitz C, Zeng H, Zeng J, Zenger D, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhai M, Zhang B, Zhang D, Zhang J, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao P, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng J, Zheng K, Zheng X, Zheng Z, Zhong D, Zhou B, Zhou H, Zhou N, Zhou Y, Zhu C, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine N, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas T, Zormpa O, Zou W, Zwalinski L. Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb -1 of s=13 TeV pp collision data. Sci Bull (Beijing) 2024; 69:3005-3035. [PMID: 39179456 DOI: 10.1016/j.scib.2024.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/03/2023] [Accepted: 05/27/2024] [Indexed: 08/26/2024]
Abstract
Results from a wide range of searches targeting different experimental signatures with and without missing transverse momentum (ETmiss) are used to constrain a Two-Higgs-Doublet Model (2HDM) with an additional pseudo-scalar mediating the interaction between ordinary and dark matter (2HDM+a). The analyses use up to 139 fb-1 of proton-proton collision data at a centre-of-mass energy s=13 TeV recorded with the ATLAS detector at the Large Hadron Collider during 2015-2018. The results from three of the most sensitive searches are combined statistically. These searches target signatures with large ETmiss and a leptonically decaying Z boson; large ETmiss and a Higgs boson decaying to bottom quarks; and production of charged Higgs bosons in final states with top and bottom quarks, respectively. Constraints are derived for several common and new benchmark scenarios in the 2HDM+a.
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An FP, Bai WD, Balantekin AB, Bishai M, Blyth S, Cao GF, Cao J, Chang JF, Chang Y, Chen HS, Chen HY, Chen SM, Chen Y, Chen YX, Chen ZY, Cheng J, Cheng J, Cheng YC, Cheng ZK, Cherwinka JJ, Chu MC, Cummings JP, Dalager O, Deng FS, Ding XY, Ding YY, Diwan MV, Dohnal T, Dolzhikov D, Dove J, Dugas KV, Duyang HY, Dwyer DA, Gallo JP, Gonchar M, Gong GH, Gong H, Gu WQ, Guo JY, Guo L, Guo XH, Guo YH, Guo Z, Hackenburg RW, Han Y, Hans S, He M, Heeger KM, Heng YK, Hor YK, Hsiung YB, Hu BZ, Hu JR, Hu T, Hu ZJ, Huang HX, Huang JH, Huang XT, Huang YB, Huber P, Jaffe DE, Jen KL, Ji XL, Ji XP, Johnson RA, Jones D, Kang L, Kettell SH, Kohn S, Kramer M, Langford TJ, Lee J, Lee JHC, Lei RT, Leitner R, Leung JKC, Li F, Li HL, Li JJ, Li QJ, Li RH, Li S, Li SC, Li WD, Li XN, Li XQ, Li YF, Li ZB, Liang H, Lin CJ, Lin GL, Lin S, Ling JJ, Link JM, Littenberg L, Littlejohn BR, Liu JC, Liu JL, Liu JX, Lu C, Lu HQ, Luk KB, Ma BZ, Ma XB, Ma XY, Ma YQ, Mandujano RC, Marshall C, McDonald KT, McKeown RD, Meng Y, Napolitano J, Naumov D, Naumova E, Nguyen TMT, Ochoa-Ricoux JP, Olshevskiy A, Park J, Patton S, Peng JC, Pun CSJ, Qi FZ, Qi M, Qian X, Raper N, Ren J, Morales Reveco C, Rosero R, Roskovec B, Ruan XC, Russell B, Steiner H, Sun JL, Tmej T, Treskov K, Tse WH, Tull CE, Tung YC, Viren B, Vorobel V, Wang CH, Wang J, Wang M, Wang NY, Wang RG, Wang W, Wang X, Wang YF, Wang Z, Wang Z, Wang ZM, Wei HY, Wei LH, Wei W, Wen LJ, Whisnant K, White CG, Wong HLH, Worcester E, Wu DR, Wu Q, Wu WJ, Xia DM, Xie ZQ, Xing ZZ, Xu HK, Xu JL, Xu T, Xue T, Yang CG, Yang L, Yang YZ, Yao HF, Ye M, Yeh M, Young BL, Yu HZ, Yu ZY, Yue BB, Zavadskyi V, Zeng S, Zeng Y, Zhan L, Zhang C, Zhang FY, Zhang HH, Zhang JL, Zhang JW, Zhang QM, Zhang SQ, Zhang XT, Zhang YM, Zhang YX, Zhang YY, Zhang ZJ, Zhang ZP, Zhang ZY, Zhao J, Zhao RZ, Zhou L, Zhuang HL, Zou JH. Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay. PHYSICAL REVIEW LETTERS 2024; 133:151801. [PMID: 39454173 DOI: 10.1103/physrevlett.133.151801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/23/2024] [Indexed: 10/27/2024]
Abstract
This Letter reports the first measurement of the oscillation amplitude and frequency of reactor antineutrinos at Daya Bay via neutron capture on hydrogen using 1958 days of data. With over 3.6 million signal candidates, an optimized candidate selection, improved treatment of backgrounds and efficiencies, refined energy calibration, and an energy response model for the capture-on-hydrogen sensitive region, the relative ν[over ¯]_{e} rates and energy spectra variation among the near and far detectors gives sin^{2}2θ_{13}=0.0759_{-0.0049}^{+0.0050} and Δm_{32}^{2}=(2.72_{-0.15}^{+0.14})×10^{-3} eV^{2} assuming the normal neutrino mass ordering, and Δm_{32}^{2}=(-2.83_{-0.14}^{+0.15})×10^{-3} eV^{2} for the inverted neutrino mass ordering. This estimate of sin^{2}2θ_{13} is consistent with and essentially independent from the one obtained using the capture-on-gadolinium sample at Daya Bay. The combination of these two results yields sin^{2}2θ_{13}=0.0833±0.0022, which represents an 8% relative improvement in precision regarding the Daya Bay full 3158-day capture-on-gadolinium result.
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Li Y, Yishajiang S, Chen Y, Tulahong G, Wen W, Wang M, Li Z. TRPC5-mediated NLRP3 inflammasome activation contributes to myocardial cell pyroptosis in chronic intermittent hypoxia rats. Acta Cardiol 2024:1-9. [PMID: 39377158 DOI: 10.1080/00015385.2024.2408137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 05/29/2024] [Accepted: 09/17/2024] [Indexed: 10/09/2024]
Abstract
BACKGROUND Chronic intermittent hypoxia (CIH) is the primary cause of myocardial inflammation in obstructive sleep apnea-hypopnea syndrome (OSAHS). Pyroptosis is a newly discovered form of programmed cell death accompanying inflammatory reactions. Our previous study showed that TRPC5 is upregulated in the myocardial injury of CIH rats. The present study aimed to explore the role of TRPC5 in CIH-induced myocardial cell pyroptosis. METHODS A model of CIH in OSA rats was established. SD rats were randomly divided into control group(8rats) and OSA group(8rats). Scanning electron microscope(SEM) was performed on left ventricular tissues slides. Western blot were used to detect the expression levels of pyroptosis-related factors and TRPC5 and its downstream proteins in myocardia tissue. RESULTS The pyroptosis of myocardial cells by SEM revealed damaged cell membrane integrity of OSA group rats, with fibrous tissue attached to the cell membrane surface, and vesicular protrusions and pyroptotic bodies were observed.Compared to the control group, the expression of pyroptosis-related proteins, such as caspase1, pro-IL-1β, IL-1β, IL-18, GSDMD, and GSDMD-N was upregulated in the OSA group (p < 0.05). Compared to the control group, the expression of TRPC5, NLPR3, p-CaMKIIβ + δ+γ, and HDAC4 was higher in the OSA group (p < 0.05). CONCLUSIONS These findings indicated that the pyroptosis response increases in CIH-induced myocardial injury, and the mechanism that TRPC5 is upregulated, promoting the expression of NLRP3 and inflammasome formation through CaMKII phosphorylation and HDAC4 cytoplasmic translocation. This might be a potential target for the treatment of OSA-induced myocardial injury.
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Liu L, Wang T, Duan C, Mao S, Wu B, Chen Y, Huang D, Cao Y. Genetically Supported Drug Targets and Dental Traits: A Mendelian Randomization Study. J Dent Res 2024:220345241272045. [PMID: 39370703 DOI: 10.1177/00220345241272045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2024] Open
Abstract
Current interventions for oral/dental diseases heavily rely on operative/surgical procedures, while the discovery of novel drug targets may enable access to noninvasive pharmacotherapy. Therefore, this study aims to leverage large-scale data and Mendelian randomization (MR) techniques, utilizing genetic variants as instruments, to identify potential therapeutic targets for oral and dental diseases supported by genetic evidence. By intersecting 4,302 druggable genes with expression quantitative trait loci from 31,684 blood samples, we identified 2,580 druggable targets as exposures. Single nucleotide polymorphisms associated with dental disease/symptom traits were collected from FinnGen R9, the Gene-Lifestyle Interactions in Dental Endpoints consortium, and the UK Biobank to serve as outcomes for both discovery and replication purposes. Through MR analysis, we identified 43 druggable targets for various dental disease/symptom traits. To evaluate the viability of these targets, we replicated the analysis using circulating protein quantitative trait loci as exposures. Additionally, we conducted sensitivity, colocalization, Gene Ontology/Kyoto Encyclopedia of Genes and Genomes annotation, protein-protein interaction analyses, and validated dental trait-associated druggable gene expression in animal models. Among these targets, IL12RB1 (odds ratio [OR], 1.01; 95% confidence interval [CI], 1.01-1.01) and TNF (OR, 0.98; 95% CI, 0.97-0.99) exhibited therapeutic promise for oral ulcers, whereas CXCL10 (OR, 0.84; 95% CI, 0.76-0.91) was for periodontitis. Through a rigorous quality control and validation pipeline, our study yields compelling evidence for these druggable targets, which may enhance the clinical prognosis by developing novel drugs or repurposing existing ones.
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Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, Damanakis K, Dragicevic M, Hussain PS, Jeitler M, Krammer N, Li A, Liko D, Mikulec I, Schieck J, Schöfbeck R, Schwarz D, Sonawane M, Templ S, Waltenberger W, Wulz CE, Darwish MR, Janssen T, Van Mechelen P, Bols ES, D'Hondt J, Dansana S, De Moor A, Delcourt M, El Faham H, Lowette S, Makarenko I, Müller D, Sahasransu AR, Tavernier S, Tytgat M, Van Onsem GP, Van Putte S, Vannerom D, Clerbaux B, Das AK, De Lentdecker G, Favart L, Gianneios P, Hohov D, Jaramillo J, Khalilzadeh A, Lee K, Mahdavikhorrami M, Malara A, Paredes S, Pétré L, Postiau N, Thomas L, Vanden Bemden M, Vander Velde C, Vanlaer P, De Coen M, Dobur D, Hong Y, Knolle J, Lambrecht L, Mestdach G, Mota Amarilo K, Rendón C, Samalan A, Skovpen K, Van Den Bossche N, van der Linden J, Wezenbeek L, Benecke A, Bethani A, Bruno G, Caputo C, Delaere C, Donertas IS, Giammanco A, Jaffel K, Jain S, Lemaitre V, Lidrych J, Mastrapasqua P, Mondal K, Tran TT, Wertz S, Alves GA, Coelho E, Hensel C, Menezes De Oliveira T, Moraes A, Rebello Teles P, Soeiro M, Aldá Júnior WL, Alves Gallo Pereira M, Barroso Ferreira Filho M, Brandao Malbouisson H, Carvalho W, Chinellato J, Da Costa EM, Da Silveira GG, De Jesus Damiao D, Fonseca De Souza S, Gomes De Souza R, Martins J, Mora Herrera C, Mundim L, Nogima H, Pinheiro JP, Santoro A, Sznajder A, Thiel M, Vilela Pereira A, Bernardes CA, Calligaris L, Tomei TRFP, Gregores EM, Mercadante PG, Novaes SF, Orzari B, Padula SS, Aleksandrov A, Antchev G, Hadjiiska R, Iaydjiev P, Misheva M, Shopova M, Sultanov G, Dimitrov A, Litov L, Pavlov B, Petkov P, Petrov A, Shumka E, Keshri S, Thakur S, Cheng T, Javaid T, Yuan L, Hu Z, Liu J, Yi K, Chen GM, Chen HS, Chen M, Iemmi F, Jiang CH, Kapoor A, Liao H, Liu ZA, Sharma R, Song JN, Tao J, Wang C, Wang J, Wang Z, Zhang H, Agapitos A, Ban Y, Levin A, Li C, Li Q, Mao Y, Qian SJ, Sun X, Wang D, Yang H, Zhang L, Zhou C, You Z, Lu N, Bauer G, Gao X, Leggat D, Okawa H, Lin Z, Lu C, Xiao M, Avila C, Barbosa Trujillo DA, Cabrera A, Florez C, Fraga J, Reyes Vega JA, Mejia Guisao J, Ramirez F, Rodriguez M, Ruiz Alvarez JD, Giljanovic D, Godinovic N, Lelas D, Sculac A, Kovac M, Sculac T, Bargassa P, Brigljevic V, Chitroda BK, Ferencek D, Mishra S, Starodumov A, Susa T, Attikis A, Christoforou K, Konstantinou S, Mousa J, Nicolaou C, Ptochos F, Razis PA, Rykaczewski H, Saka H, Stepennov A, Finger M, Finger M, Kveton A, Ayala E, Carrera Jarrin E, Abdelalim AA, Salama E, Lotfy A, Mahmoud MA, Ehataht K, Kadastik M, Lange T, Nandan S, Nielsen C, Pata J, Raidal M, Tani L, Veelken C, Kirschenmann H, Osterberg K, Voutilainen M, Bharthuar S, Brücken E, Garcia F, Kallonen KTS, Kinnunen R, Lampén T, Lassila-Perini K, Lehti S, Lindén T, Martikainen L, Myllymäki M, Rantanen MM, Siikonen H, Tuominen E, Tuominiemi J, Luukka P, Petrow H, Besancon M, Couderc F, Dejardin M, Denegri D, Faure JL, Ferri F, Ganjour S, Gras P, Hamel de Monchenault G, Lohezic V, Malcles J, Rander J, 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S, Kolberg T, Martinez G, Prosper H, Prova PR, Wulansatiti M, Yohay R, Zhang J, Alsufyani B, Baarmand MM, Butalla S, Elkafrawy T, Hohlmann M, Kumar Verma R, Rahmani M, Yanes E, Adams MR, Baty A, Bennett C, Cavanaugh R, Escobar Franco R, Evdokimov O, Gerber CE, Hofman DJ, Lee JH, Lemos DS, Merrit AH, Mills C, Nanda S, Oh G, Ozek B, Pilipovic D, Pradhan R, Roy T, Rudrabhatla S, Tonjes MB, Varelas N, Ye Z, Yoo J, Alhusseini M, Blend D, Dilsiz K, Emediato L, Karaman G, Köseyan OK, Merlo JP, Mestvirishvili A, Nachtman J, Neogi O, Ogul H, Onel Y, Penzo A, Snyder C, Tiras E, Blumenfeld B, Corcodilos L, Davis J, Gritsan AV, Kang L, Kyriacou S, Maksimovic P, Roguljic M, Roskes J, Sekhar S, Swartz M, Abreu A, Alcerro Alcerro LF, Anguiano J, Baringer P, Bean A, Flowers Z, Grove D, King J, Krintiras G, Lazarovits M, Le Mahieu C, Lindsey C, Marquez J, Minafra N, Murray M, Nickel M, Pitt M, Popescu S, Rogan C, Royon C, Salvatico R, Sanders S, Smith C, Wang Q, Wilson G, Allmond B, Ivanov A, Kaadze K, 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K, Lee SW, Mankel A, Peltola T, Volobouev I, Whitbeck A, Appelt E, Chen Y, Greene S, Gurrola A, Johns W, Kunnawalkam Elayavalli R, Melo A, Romeo F, Sheldon P, Tuo S, Velkovska J, Viinikainen J, Cardwell B, Cox B, Hakala J, Hirosky R, Ledovskoy A, Neu C, Perez Lara CE, Karchin PE, Aravind A, Banerjee S, Black K, Bose T, Dasu S, De Bruyn I, Everaerts P, Galloni C, He H, Herndon M, Herve A, Koraka CK, Lanaro A, Loveless R, Madhusudanan Sreekala J, Mallampalli A, Mohammadi A, Mondal S, Parida G, Pinna D, Savin A, Shang V, Sharma V, Smith WH, Teague D, Tsoi HF, Vetens W, Warden A, Afanasiev S, Andreev V, Andreev Y, Aushev T, Azarkin M, Babaev A, Belyaev A, Blinov V, Boos E, Borshch V, Budkouski D, Chekhovsky V, Chistov R, Danilov M, Dermenev A, Dimova T, Druzhkin D, Ershov A, Gavrilov G, Gavrilov V, Gninenko S, Golovtcov V, Golubev N, Golutvin I, Gorbunov I, Gribushin A, Ivanov Y, Kachanov V, Kaminskiy A, Karjavine V, Karneyeu A, Khein L, Kim V, Kirakosyan M, Kirpichnikov D, Kirsanov M, Kodolova O, Korenkov V, Korotkikh V, Kozyrev A, Krasnikov N, Lanev A, Levchenko P, Lychkovskaya N, Makarenko V, Malakhov A, Matveev V, Murzin V, Nikitenko A, Obraztsov S, Oreshkin V, Palichik V, Perelygin V, Petrushanko S, Polikarpov S, Popov V, Radchenko O, Savina M, Savrin V, Shalaev V, Shmatov S, Shulha S, Skovpen Y, Slabospitskii S, Smirnov V, Snigirev A, Sosnov D, Sulimov V, Tcherniaev E, Terkulov A, Teryaev O, Tlisova I, Toropin A, Uvarov L, Uzunian A, Vardanyan I, Vorobyev A, Voytishin N, Yuldashev BS, Zarubin A, Zhizhin I, Zhokin A. Observation of Enhanced Long-Range Elliptic Anisotropies Inside High-Multiplicity Jets in pp Collisions at sqrt[s]=13 TeV. PHYSICAL REVIEW LETTERS 2024; 133:142301. [PMID: 39423390 DOI: 10.1103/physrevlett.133.142301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 06/20/2024] [Accepted: 08/27/2024] [Indexed: 10/21/2024]
Abstract
A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13 TeV, corresponding to an integrated luminosity of 138 fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.8 and are required to have transverse momentum greater than 550 GeV and pseudorapidity |η^{jet}|<1.6. Two-particle correlations among the charged particles within the jets are studied as functions of the particles' azimuthal angle and pseudorapidity separations (Δϕ^{*} and Δη^{*}) in a jet coordinate basis, where particles' η^{*}, ϕ^{*} are defined relative to the direction of the jet. The correlation functions are studied in classes of in-jet charged-particle multiplicity up to N_{ch}^{j}≈100. Fourier harmonics are extracted from long-range azimuthal correlation functions to characterize azimuthal anisotropy for |Δη^{*}|>2. For low-N_{ch}^{j} jets, the long-range elliptic anisotropic harmonic, v_{2}^{*}, is observed to decrease with N_{ch}^{j}. This trend is well described by Monte Carlo event generators. However, a rising trend for v_{2}^{*} emerges at N_{ch}^{j}≳80, hinting at a possible onset of collective behavior, which is not reproduced by the models tested. This observation yields new insights into the dynamics of jet evolution in the vacuum.
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Ruby AJ, Ruelas Rivera VH, Ruggeri TA, Ruggiero A, Ruiz-Martinez A, Rummler A, Rurikova Z, Rusakovich NA, Russell HL, Russo G, Rutherfoord JP, Rutherford Colmenares S, Rybacki K, Rybar M, Rye EB, Ryzhov A, Sabater Iglesias JA, Sabatini P, Sadrozinski HFW, Safai Tehrani F, Safarzadeh Samani B, Safdari M, Saha S, Sahinsoy M, Saibel A, Saimpert M, Saito M, Saito T, Salamani D, Salnikov A, Salt J, Salvador Salas A, Salvatore D, Salvatore F, Salzburger A, Sammel D, Sampsonidis D, Sampsonidou D, Sánchez J, Sanchez Pineda A, Sanchez Sebastian V, Sandaker H, Sander CO, Sandesara JA, Sandhoff M, Sandoval C, Sankey DPC, Sano T, Sansoni A, Santi L, Santoni C, Santos H, Santra A, Saoucha KA, Saraiva JG, Sardain J, Sasaki O, Sato K, Sauer C, Sauerburger F, Sauvan E, Savard P, Sawada R, Sawyer C, Sawyer L, Sayago Galvan I, Sbarra C, Sbrizzi A, Scanlon T, Schaarschmidt J, Schacht P, Schäfer U, Schaffer AC, Schaile D, Schamberger RD, Scharf C, Schefer MM, Schegelsky VA, Scheirich D, Schenck F, Schernau M, Scheulen C, Schiavi C, Schioppa EJ, Schioppa M, Schlag B, Schleicher KE, Schlenker S, Schmeing J, Schmidt MA, Schmieden K, Schmitt C, Schmitt N, Schmitt S, Schoeffel L, Schoening A, Scholer PG, Schopf E, Schott M, Schovancova J, Schramm S, Schroeder F, Schroer T, Schultz-Coulon HC, Schumacher M, Schumm BA, Schune P, Schuy AJ, Schwartz HR, Schwartzman A, Schwarz TA, Schwemling P, Schwienhorst R, Sciandra A, Sciolla G, Scuri F, Sebastiani CD, Sedlaczek K, Seema P, Seidel SC, Seiden A, Seidlitz BD, Seitz C, Seixas JM, Sekhniaidze G, Selem L, Semprini-Cesari N, Sengupta D, Senthilkumar V, Serin L, Serkin L, Sessa M, Severini H, Sforza F, Sfyrla A, Shabalina E, Shaheen R, Shahinian JD, Shaked Renous D, Shan LY, Shapiro M, Sharma A, Sharma AS, Sharma P, Sharma S, Shatalov PB, Shaw K, Shaw SM, Shcherbakova A, Shen Q, Sheppard DJ, Sherwood P, Shi L, Shi X, Shimmin CO, Shinner JD, Shipsey IPJ, Shirabe S, Shiyakova M, Shlomi J, Shochet MJ, Shojaii J, Shope DR, Shrestha B, Shrestha S, Shrif EM, Shroff MJ, Sicho P, Sickles AM, Sideras Haddad E, Sidoti A, Siegert F, Sijacki D, Sili F, Silva JM, Silva Oliveira MV, Silverstein SB, Simion S, Simoniello R, Simpson EL, Simpson H, Simpson LR, Simpson ND, Simsek S, Sindhu S, Sinervo P, Singh S, Sinha S, Sinha S, Sioli M, Siral I, Sitnikova E, Sivoklokov SY, Sjölin J, Skaf A, Skorda E, Skubic P, Slawinska M, Smakhtin V, Smart BH, Smirnov SY, Smirnov Y, Smirnova LN, Smirnova O, Smith AC, Smith EA, Smith HA, Smith JL, Smith R, Smizanska M, Smolek K, Snesarev AA, Snider SR, Snoek HL, Snyder S, Sobie R, Soffer A, Solans Sanchez CA, Soldatov EY, Soldevila U, Solodkov AA, Solomon S, Soloshenko A, Solovieva K, Solovyanov OV, Solovyev V, Sommer P, Sonay A, Song WY, Sonneveld JM, Sopczak A, Sopio AL, Sopkova F, Sorenson JD, Sotarriva Alvarez IR, Sothilingam V, Soto Sandoval OJ, Sottocornola S, Soualah R, Soumaimi Z, South D, Soybelman N, Spagnolo S, Spalla M, Sperlich D, Spigo G, Spinali S, Spiteri DP, Spousta M, Staats EJ, Stabile A, Stamen R, Stampekis A, Standke M, Stanecka E, Stange MV, Stanislaus B, Stanitzki MM, Stapf B, Starchenko EA, Stark GH, Stark J, Starko DM, Staroba P, Starovoitov P, Stärz S, Staszewski R, Stavropoulos G, Steentoft J, Steinberg P, Stelzer B, Stelzer HJ, Stelzer-Chilton O, Stenzel H, Stevenson TJ, Stewart GA, Stewart JR, Stockton MC, Stoicea G, Stolarski M, Stonjek S, Straessner A, Strandberg J, Strandberg S, Stratmann M, Strauss M, Strebler T, Strizenec P, Ströhmer R, Strom DM, Stroynowski R, Strubig A, Stucci SA, Stugu B, Stupak J, Styles NA, Su D, Su S, Su W, Su X, Sugizaki K, Sulin VV, Sullivan MJ, Sultan DMS, Sultanaliyeva L, Sultansoy S, Sumida T, Sun S, Sun S, Gudnadottir OS, Sur N, Sutton MR, Suzuki H, Svatos M, Swiatlowski M, Swirski T, Sykora I, Sykora M, Sykora T, Ta D, Tackmann K, Taffard A, Tafirout R, Tafoya Vargas JS, Takeva EP, Takubo Y, Talby M, Talyshev AA, Tam KC, Tamir NM, Tanaka A, Tanaka J, Tanaka R, Tanasini M, Tao Z, Tapia Araya S, Tapprogge S, Tarek Abouelfadl Mohamed A, Tarem S, Tariq K, Tarna G, Tartarelli GF, Tas P, Tasevsky M, Tassi E, Tate AC, Tateno G, Tayalati Y, Taylor GN, Taylor W, Tee AS, Teixeira De Lima R, Teixeira-Dias P, Teoh JJ, Terashi K, Terron J, Terzo S, Testa M, Teuscher RJ, Thaler A, Theiner O, Themistokleous N, Theveneaux-Pelzer T, Thielmann O, Thomas DW, Thomas JP, Thompson EA, Thompson PD, Thomson E, Tian Y, Tikhomirov V, Tikhonov YA, Timoshenko S, Timoshyn D, Ting EXL, Tipton P, Tlou SH, Tnourji A, Todome K, Todorova-Nova S, Todt S, Togawa M, Tojo J, Tokár S, Tokushuku K, Toldaiev O, Tombs R, Tomoto M, Tompkins L, Topolnicki KW, Torrence E, Torres H, Torró Pastor E, Toscani M, Tosciri C, Tost M, Tovey DR, Traeet A, Trandafir IS, Trefzger T, Tricoli A, Trigger IM, Trincaz-Duvoid S, Trischuk DA, Trocmé B, Troncon C, Truong L, Trzebinski M, Trzupek A, Tsai F, Tsai M, Tsiamis A, Tsiareshka PV, Tsigaridas S, Tsirigotis A, Tsiskaridze V, Tskhadadze EG, Tsopoulou M, Tsujikawa Y, Tsukerman II, Tsulaia V, Tsuno S, Tsuri K, Tsybychev D, Tu Y, Tudorache A, Tudorache V, Tuna AN, Turchikhin S, Turk Cakir I, Turra R, Turtuvshin T, Tuts PM, Tzamarias S, Tzanis P, Tzovara E, Ukegawa F, Ulloa Poblete PA, Umaka EN, Unal G, Unal M, Undrus A, Unel G, Urban J, Urquijo P, Urrejola P, Usai G, Ushioda R, Usman M, Uysal Z, Vacek V, Vachon B, Vadla KOH, Vafeiadis T, Vaitkus A, Valderanis C, Valdes Santurio E, Valente M, Valentinetti S, Valero A, Valiente Moreno E, Vallier A, Valls Ferrer JA, Van Arneman DR, Van Daalen TR, Van Der Graaf A, Van Gemmeren P, Van Rijnbach M, Van Stroud S, Van Vulpen I, Vanadia M, Vandelli W, Vandenbroucke M, Vandewall ER, Vannicola D, Vannoli L, Vari R, Varnes EW, Varni C, Varol T, Varouchas D, Varriale L, Varvell KE, Vasile ME, Vaslin L, Vasquez GA, Vasyukov A, Vazeille F, Vazquez Schroeder T, Veatch J, Vecchio V, Veen MJ, Veliscek I, Veloce LM, Veloso F, Veneziano S, Ventura A, Ventura Gonzalez S, Verbytskyi A, Verducci M, Vergis C, Verissimo De Araujo M, Verkerke W, Vermeulen JC, Vernieri C, Vessella M, Vetterli MC, Vgenopoulos A, Viaux Maira N, Vickey T, Vickey Boeriu OE, Viehhauser GHA, Vigani L, Villa M, Villaplana Perez M, Villhauer EM, Vilucchi E, Vincter MG, Virdee GS, Vishwakarma A, Visibile A, Vittori C, Vivarelli I, Voevodina E, Vogel F, Voigt JC, Vokac P, Volkotrub Y, Von Ahnen J, Von Toerne E, Vormwald B, Vorobel V, Vorobev K, Vos M, Voss K, Vossebeld JH, Vozak M, Vozdecky L, Vranjes N, Vranjes Milosavljevic M, Vreeswijk M, Vu NK, Vuillermet R, Vujinovic O, Vukotic I, Wada S, Wagner C, Wagner JM, Wagner W, Wahdan S, Wahlberg H, Wakida M, Walder J, Walker R, Walkowiak W, Wall A, Wamorkar T, Wang AZ, Wang C, Wang C, Wang H, Wang J, Wang RJ, Wang R, Wang R, Wang SM, Wang S, Wang T, Wang WT, Wang W, Wang X, Wang X, Wang X, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Warburton A, Ward RJ, Warrack N, Watson AT, Watson H, Watson MF, Watton E, Watts G, Waugh BM, Weber C, Weber HA, Weber MS, Weber SM, Wei C, Wei Y, Weidberg AR, Weik EJ, Weingarten J, Weirich M, Weiser C, Wells CJ, Wenaus T, Wendland B, Wengler T, Wenke NS, Wermes N, Wessels M, Wharton AM, White AS, White A, White MJ, Whiteson D, Wickremasinghe L, Wiedenmann W, Wielers M, Wiglesworth C, Wilbern DJ, Wilkens HG, Williams DM, Williams HH, Williams S, Willocq S, Wilson BJ, Windischhofer PJ, Winkel FI, Winklmeier F, Winter BT, Winter JK, Wittgen M, Wobisch M, Wolffs Z, Wollrath J, Wolter MW, Wolters H, Wongel AF, Woodward EL, Worm SD, Wosiek BK, Woźniak KW, Wozniewski S, Wraight K, Wu C, Wu J, Wu M, Wu M, Wu SL, Wu X, Wu Y, Wu Z, Wuerzinger J, Wyatt TR, Wynne BM, Xella S, Xia L, Xia M, Xiang J, Xie M, Xie X, Xin S, Xiong A, Xiong J, Xu D, Xu H, Xu L, Xu R, Xu T, Xu Y, Xu Z, Xu Z, Yabsley B, Yacoob S, Yamaguchi Y, Yamashita E, Yamauchi H, Yamazaki T, Yamazaki Y, Yan J, Yan S, Yan Z, Yang HJ, Yang HT, Yang S, Yang T, Yang X, Yang X, Yang Y, Yang Y, Yang Z, Yao WM, Yap YC, Ye H, Ye H, Ye J, Ye S, Ye X, Yeh Y, Yeletskikh I, Yeo BK, Yexley MR, Yin P, Yorita K, Younas S, Young CJS, Young C, Yu C, Yu Y, Yuan M, Yuan R, Yue L, Zaazoua M, Zabinski B, Zaid E, Zak ZK, Zakareishvili T, Zakharchuk N, Zambito S, Zamora Saa JA, Zang J, Zanzi D, Zaplatilek O, Zeitnitz C, Zeng H, Zeng JC, Zenger DT, Zenin O, Ženiš T, Zenz S, Zerradi S, Zerwas D, Zhai M, Zhang DF, Zhang J, Zhang J, Zhang K, Zhang L, Zhang P, Zhang R, Zhang S, Zhang S, Zhang T, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Z, Zhang Z, Zhao H, Zhao T, Zhao Y, Zhao Z, Zhemchugov A, Zheng J, Zheng K, Zheng X, Zheng Z, Zhong D, Zhou B, Zhou H, Zhou N, Zhou Y, Zhu CG, Zhu J, Zhu Y, Zhu Y, Zhuang X, Zhukov K, Zhulanov V, Zimine NI, Zinsser J, Ziolkowski M, Živković L, Zoccoli A, Zoch K, Zorbas TG, Zormpa O, Zou W, Zwalinski L. Determination of the Relative Sign of the Higgs Boson Couplings to W and Z Bosons Using WH Production via Vector-Boson Fusion with the ATLAS Detector. PHYSICAL REVIEW LETTERS 2024; 133:141801. [PMID: 39423379 DOI: 10.1103/physrevlett.133.141801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 07/09/2024] [Accepted: 08/22/2024] [Indexed: 10/21/2024]
Abstract
The associated production of Higgs and W bosons via vector-boson fusion is highly sensitive to the relative sign of the Higgs boson couplings to W and Z bosons. In this Letter, two searches for this process are presented, using 140 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV recorded by the ATLAS detector at the LHC. The first search targets scenarios with opposite-sign couplings of the W and Z bosons to the Higgs boson, while the second targets standard model-like scenarios with same-sign couplings. Both analyses consider Higgs boson decays into a pair of b quarks and W boson decays with an electron or muon. The data exclude the opposite-sign coupling hypothesis with a significance beyond 5σ, and the observed (expected) upper limit set on the cross section for vector-boson fusion WH production is 9.0 (8.7) times the standard model value at 95% confidence level.
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Ma R, Tang BR, Han TT, Luo XY, Han W, Chen Y, Mo XD, Xu LP, Zhang XH, Wang Y, Huang XJ, Sun YQ. [Clinical outcomes of allogeneic hematopoietic stem cell transplantation from matched sibling donor for myelofibrosis]. ZHONGHUA NEI KE ZA ZHI 2024; 63:961-967. [PMID: 39375113 DOI: 10.3760/cma.j.cn112138-20240409-00225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/09/2024]
Abstract
Objective: To evaluate the efficacy and safety of matched sibling donor allogeneic hematopoietic stem cell transplantation (allo-HSCT) for the treatment of myelofibrosis (MF). Methods: In this case series, the clinical data of 18 patients with MF who received allo-HSCT in the Department of Hematology, Peking University People's Hospital from December 2008 to December 2023 were retrospectively studied. Kaplan-Meier survival analysis and competitive risk model were used to evaluate the probabilities of 3-year overall survival (OS), disease-free survival (DFS), cumulative incidence of relapse (CIR), and transplant related mortality (TRM). The transplant related complications were also analyzed. Results: Among the 18 patients included, there were 12 males and 6 females, with a median age of 50 (range: 28-64) years. All 18 patients achieved neutrophil engraftment, and the time of neutrophil engraftment [M (Q1, Q3)] was 16.0 (11.8, 18.0) days. Twelve patients achieved platelet engraftment, and the platelet engraftment time was 21.0 (16.2, 43.2) days. Six patients had grade Ⅱ to Ⅳ acute graft-versus-host disease (GVHD), and six patients had chronic GVHD. The 3-year OS rate and DFS rate after transplantation were 62.2% and 52.2%, respectively. The 3-year CIR and TRM were 29.7% and 24.6%, respectively. Four patients died during follow-up, with the main cause of death being infections. Conclusion: Matched sibling allo-HSCT is a feasible option for the treatment of MF.
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Nicholls G, Atkinson B, van Veldhoven K, Nicholls I, Coldwell M, Clarke A, Atchison CJ, Raja AI, Bennett AM, Morgan D, Pearce N, Fletcher T, Brickley EB, Chen Y. An outbreak of SARS-CoV-2 in a public-facing office in England. Occup Med (Lond) 2024; 74:475-485. [PMID: 38078549 DOI: 10.1093/occmed/kqad100] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2024] Open
Abstract
BACKGROUND An outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with an attack rate of 55% (22/40 workers) occurred at a public-facing office in England from August to September 2021. Published evidence regarding outbreaks in office workplaces remains limited. AIMS To describe an investigation of workplace- and worker-related risk factors following an outbreak of SARS-CoV-2 in a public-facing office. METHODS The COVID-19 (coronavirus disease 2019) Outbreak Investigation to Understand Transmission (COVID-OUT) study undertook an investigation of the outbreak. This included surface sampling, occupational environmental assessment, molecular and serological testing of workers, and detailed questionnaires. RESULTS Despite existing COVID-19 control measures, surface sampling conducted during a self-imposed 2-week temporary office closure identified viral contamination (10/60 samples, 17% positive), particularly in a small, shared security office (6/9, 67% positive) and on a window handle in one open-plan office. Targeted enhanced cleaning was, therefore, undertaken before the office reopened. Repeat surface sampling after this identified only one positive (2%) sample. Ventilation was deemed adequate using carbon dioxide monitoring (typically ≤1000 ppm). Twelve workers (30%) responded to the COVID-OUT questionnaire, and all had been vaccinated with two doses. One-third of respondents (4/12) reported direct physical or close contact with members of the public; of these, 75% (3/4) reported a divider/screen between themselves and members of the public. CONCLUSIONS The results highlight the potential utility of surface sampling to identify SARS-CoV-2 control deficiencies and the importance of evolving, site-specific risk assessments with layered COVID-19 mitigation strategies.
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Morvan A, Villalonga B, Mi X, Mandrà S, Bengtsson A, Klimov PV, Chen Z, Hong S, Erickson C, Drozdov IK, Chau J, Laun G, Movassagh R, Asfaw A, Brandão LTAN, Peralta R, Abanin D, Acharya R, Allen R, Andersen TI, Anderson K, Ansmann M, Arute F, Arya K, Atalaya J, Bardin JC, Bilmes A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Campero J, Chang HS, Chiaro B, Chik D, Chou C, Cogan J, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Barba ADT, Demura S, Paolo AD, Dunsworth A, Faoro L, Farhi E, Fatemi R, Ferreira VS, Burgos LF, Forati E, Fowler AG, Foxen B, Garcia G, Genois É, Giang W, Gidney C, Gilboa D, Giustina M, Gosula R, Dau AG, Gross JA, Habegger S, Hamilton MC, Hansen M, Harrigan MP, Harrington SD, Heu P, Hoffmann MR, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev A, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lensky YD, Lester BJ, Lill AT, Liu W, Livingston WP, Locharla A, Malone FD, Martin O, Martin S, McClean JR, McEwen M, Miao KC, Mieszala A, Montazeri S, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Nersisyan A, Newman M, Ng JH, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Omonije S, Opremcak A, Petukhov A, Potter R, Pryadko LP, Quintana C, Rhodes DM, Rocque C, Rosenberg E, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shutty N, Shvarts V, Sivak V, Skruzny J, Smith WC, Somma RD, Sterling G, Strain D, Szalay M, Thor D, Torres A, Vidal G, Heidweiller CV, White T, Woo BWK, Xing C, Yao ZJ, Yeh P, Yoo J, Young G, Zalcman A, Zhang Y, Zhu N, Zobrist N, Rieffel EG, Biswas R, Babbush R, Bacon D, Hilton J, Lucero E, Neven H, Megrant A, Kelly J, Roushan P, Aleiner I, Smelyanskiy V, Kechedzhi K, Chen Y, Boixo S. Phase transitions in random circuit sampling. Nature 2024; 634:328-333. [PMID: 39385051 PMCID: PMC11464376 DOI: 10.1038/s41586-024-07998-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 08/28/2024] [Indexed: 10/11/2024]
Abstract
Undesired coupling to the surrounding environment destroys long-range correlations in quantum processors and hinders coherent evolution in the nominally available computational space. This noise is an outstanding challenge when leveraging the computation power of near-term quantum processors1. It has been shown that benchmarking random circuit sampling with cross-entropy benchmarking can provide an estimate of the effective size of the Hilbert space coherently available2-8. Nevertheless, quantum algorithms' outputs can be trivialized by noise, making them susceptible to classical computation spoofing. Here, by implementing an algorithm for random circuit sampling, we demonstrate experimentally that two phase transitions are observable with cross-entropy benchmarking, which we explain theoretically with a statistical model. The first is a dynamical transition as a function of the number of cycles and is the continuation of the anti-concentration point in the noiseless case. The second is a quantum phase transition controlled by the error per cycle; to identify it analytically and experimentally, we create a weak-link model, which allows us to vary the strength of the noise versus coherent evolution. Furthermore, by presenting a random circuit sampling experiment in the weak-noise phase with 67 qubits at 32 cycles, we demonstrate that the computational cost of our experiment is beyond the capabilities of existing classical supercomputers. Our experimental and theoretical work establishes the existence of transitions to a stable, computationally complex phase that is reachable with current quantum processors.
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Cao Z, Aharonian F, Axikegu, Bai Y, Bao Y, Bastieri D, Bi X, Bi Y, Bian W, Bukevich A, Cao Q, Cao W, Cao Z, Chang J, Chang J, Chen A, Chen E, Chen H, Chen L, Chen L, Chen L, Chen M, Chen M, Chen Q, Chen S, Chen S, Chen S, Chen T, Chen Y, Cheng N, Cheng Y, Cui M, Cui S, Cui X, Cui Y, Dai B, Dai H, Dai Z, Danzengluobu, Dong X, Duan K, Fan J, Fan Y, Fang J, Fang J, Fang K, Feng C, Feng H, Feng L, Feng S, Feng X, Feng Y, Feng Y, Gabici S, Gao B, Gao C, Gao Q, Gao W, Gao W, Ge M, Geng L, Giacinti G, Gong G, Gou Q, Gu M, Guo F, Guo X, Guo Y, Guo Y, Han Y, Hasan M, He H, He H, He J, He Y, Hor Y, Hou B, Hou C, Hou X, Hu H, Hu Q, Hu S, Huang D, Huang T, Huang W, Huang X, Huang X, Huang Y, Ji X, Jia H, Jia K, Jiang K, Jiang X, Jiang Z, Jin M, Kang M, Karpikov I, Kuleshov D, Kurinov K, Li B, Li C, Li C, Li C, Li D, Li F, Li H, Li H, Li J, Li J, Li K, Li S, Li W, Li W, Li X, Li X, Li Y, Li Z, Li Z, Liang E, Liang Y, Lin S, Liu B, Liu C, Liu D, Liu D, Liu H, Liu H, Liu J, Liu J, Liu M, Liu R, Liu S, Liu W, Liu Y, Liu Y, Luo Q, Luo Y, Lv H, Ma B, Ma L, Ma X, Mao J, Min Z, Mitthumsiri W, Mu H, Nan Y, Neronov A, Ou L, Pattarakijwanich P, Pei Z, Qi J, Qi M, Qiao B, Qin J, Raza A, Ruffolo D, Sáiz A, Saeed M, Semikoz D, Shao L, Shchegolev O, Sheng X, Shu F, Song H, Stenkin Y, Stepanov V, Su Y, Sun D, Sun Q, Sun X, Sun Z, Takata J, Tam P, Tang Q, Tang R, Tang Z, Tian W, Wang C, Wang C, Wang G, Wang H, Wang H, Wang J, Wang K, Wang K, Wang L, Wang L, Wang P, Wang R, Wang W, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Wang Z, Wang Z, Wang Z, Wei D, Wei J, Wei Y, Wen T, Wu C, Wu H, Wu Q, Wu S, Wu X, Wu Y, Xi S, Xia J, Xiang G, Xiao D, Xiao G, Xin Y, Xing Y, Xiong D, Xiong Z, Xu D, Xu R, Xu R, Xu W, Xue L, Yan D, Yan J, Yan T, Yang C, Yang C, Yang F, Yang F, Yang L, Yang M, Yang R, Yang W, Yao Y, Yao Z, Yin L, Yin N, You X, You Z, Yu Y, Yuan Q, Yue H, Zeng H, Zeng T, Zeng W, Zha M, Zhang B, Zhang F, Zhang H, Zhang H, Zhang H, Zhang J, Zhang L, Zhang P, Zhang P, Zhang R, Zhang S, Zhang S, Zhang S, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao L, Zhao S, Zhao X, Zheng F, Zhong W, Zhou B, Zhou H, Zhou J, Zhou M, Zhou P, Zhou R, Zhou X, Zhou X, Zhu B, Zhu C, Zhu F, Zhu H, Zhu K, Zou Y, Zuo X, Celli S. Evidence for particle acceleration approaching PeV energies in the W51 complex. Sci Bull (Beijing) 2024; 69:2833-2841. [PMID: 39153903 DOI: 10.1016/j.scib.2024.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 06/21/2024] [Accepted: 07/02/2024] [Indexed: 08/19/2024]
Abstract
The γ-ray emission from the W51 complex is widely acknowledged to be attributed to the interaction between the cosmic rays (CRs) accelerated by the shock of supernova remnant (SNR) W51C and the dense molecular clouds in the adjacent star-forming region, W51B. However, the maximum acceleration capability of W51C for CRs remains elusive. Based on observations conducted with the Large High Altitude Air Shower Observatory (LHAASO), we report a significant detection of γ rays emanating from the W51 complex, with energies from 2 to 200 TeV. The LHAASO measurements, for the first time, extend the γ-ray emission from the W51 complex beyond 100 TeV and reveal a significant spectrum bending at tens of TeV. By combining the "π0-decay bump" featured data from Fermi-LAT, the broadband γ-ray spectrum of the W51 region can be well-characterized by a simple pp-collision model. The observed spectral bending feature suggests an exponential cutoff at ∼400 TeV or a power-law break at ∼200 TeV in the CR proton spectrum, most likely providing the first evidence of SNRs serving as CR accelerators approaching the PeV regime. Additionally, two young star clusters within W51B could also be theoretically viable to produce the most energetic γ rays observed by LHAASO. Our findings strongly support the presence of extreme CR accelerators within the W51 complex and provide new insights into the origin of Galactic CRs.
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Chen Y, Li J, Ma S, Zhang Z, Li C, Kong F. The role of microwave ablation in combination with surgery in the management of multiple high-risk pulmonary nodules. Clin Radiol 2024:S0009-9260(24)00555-5. [PMID: 39455292 DOI: 10.1016/j.crad.2024.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 08/24/2024] [Accepted: 09/23/2024] [Indexed: 10/28/2024]
Abstract
AIM To evaluate the feasibility and safety of surgical resection combined with microwave ablation (MWA) for patients with multiple high-risk pulmonary nodules. MATERIALS AND METHODS From September 2010 to November 2023, a total of 166 early multiple high-risk pulmonary nodule patients in our institution were retrospectively analyzed. Fifty-three patients who underwent surgical resection in combination with MWA were considered as the observation group, and 113 patients who underwent two operations or one operation to remove nodules in two lobes of the lungs were considered as the control group. The primary endpoint was postoperative progression-free survival (PFS). Secondary endpoints were lung function, postoperative complications, and length and cost of hospitalization. RESULTS In the observation group, the median PFS was 37 months (1-63 months), 9 patients (16.98%) had postoperative recurrence, and the 1-year and 3-year PFS rates were 97.6% and 89.0%, respectively. In the control group, the median PFS was 36 months (1-56 months), 10 patients (8.84%) had postoperative recurrence, and the 1-year and 3-year PFS rates were 99% and 97.8%, respectively. The difference between the two groups was not statistically significant (P = 0.392). Lung function measurements showed a decrease in patients after surgery (P<0.05), and no significant change in patients after MWA (P > 0.05). Compared with two surgical resections, the combined treatment required less hospitalization and cost (P < 0.05). CONCLUSION For patients with multiple high-risk pulmonary nodules, surgical resection in combination with microwave ablation is an effective and safe treatment, which has less hospitalization and cost than using surgical resection alone.
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Zeng HP, Chen YH, Luo LJ, Zhang ZJ, Lin ZY, Chen Y, Peng YH, Wang T, Zheng YS, Xiong WW, Wang W. [Learning curve for a five-step procedure, transthoracic single-port assisted laparoscopic transabdominal diaphragmatic approach, for Siewert type II adenocarcinoma of the esophagogastric junction]. ZHONGHUA WEI CHANG WAI KE ZA ZHI = CHINESE JOURNAL OF GASTROINTESTINAL SURGERY 2024; 27:938-944. [PMID: 39313433 DOI: 10.3760/cma.j.cn441530-20240116-00028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Objective: To investigate the learning curve for a five-step procedure, namely, a transthoracic single-port assisted laparoscopic transabdominal diaphragmatic approach, for Siewert type II adenocarcinoma of the esophagogastric junction. Methods: In this retrospective cohort study, we analyzed relevant clinical data of 66 patients with Siewert type II adenocarcinoma of the esophagogastric junction who had undergone the five-step procedure performed by the same surgeon in the Gastrointestinal Surgery Department of Guangdong Provincial Hospital of Chinese Medicine from May 2017 to April 2023. The learning curve were plotted using cumulative summation analysis and selected indicators, including intraoperative blood loss, duration of surgery, time to first flatus, time to first tolerance of liquid food, length of hospital stay, and incidence of perioperative complications at different stages were compared. The data were analyzed using SPSS 24.0 statistical software. Numerical data are presented as cases (%) and data were analyzed using the χ2 test or Fisher's exact test. Normally distributed measurement data are presented as x±s, and independent sample t-testing was performed for inter group comparison. Non-normally distributed measurement data are presented as M(Q1, Q3) and the Mann-Whitney U test was used for inter group comparison. Results: The five-step procedure had been successfully completed without switching to open surgery in all 66 study patients. There were no perioperative deaths, blood loss was 100 (50, 200) mL and duration of surgery 329.4±87.3 minutes. The equation of optimal fit for the duration of surgery was y=0.031x3-4.4757x2+164.97x-264.4 (P<0.001, R2=0.9797). The cumulative summation learning curve reached a vertex when 25 surgical procedures had accumulated. Using 25 cases as the cut-off, we divided the learning curves into learning and proficiency periods and patients into learning (25) and proficiency period groups (41). There were no statistically significant differences between the two groups of patients in sex, age, body mass index, American Society of Anesthesiologists score, history of abdominal surgery, comorbidities, preoperative neoadjuvant therapy, maximum tumor diameter, surgical procedure, or T and N stage of tumor (P>0.05). The following factors differed significantly (all P<0.05) between the learning and proficiency stages: in the latter there was less intraoperative blood loss (100 [50, 100] ml vs. 200 [100, 200] ml, U=-3.940, P<0.001), shorter duration of surgery ([289.8±50.7] minutes vs. [394.4±96.0] minutes, t=5.034, P<0.001), more mediastinal lymph nodes removed (5 [2, 8] vs. 2 [1, 5], U=-2.518, P=0.012), earlier time to first flatus (2 [2, 3] days vs. 4 [3, 6] days, U=-4.016, P<0.001), earlier time to first tolerance of liquid food (5 [4, 6] days vs. 7 [6, 8] days, U=-2.922, P=0.003), shorter duration of hospital stay (8 [8, 10] vs. 10 [9, 12] days, U=-2.028, P=0.043). The incidence of surgical complications did not differ significantly between the two groups (P=0.238). Conclusion: Satisfactory results can be achieved with the five-step procedure for patients with Siewert type II adenocarcinoma of the esophagogastric junction once 25 procedures have been performed.
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Zhang H, He Z, Chen Y, Chao J, Cheng X, Mao J, Chen Y, Li B, Yu J, Yan M, Chen S, Lv G, Su J. Cordyceps polysaccharide improves polycystic ovary syndrome by inhibiting gut-derived LPS/TLR4 pathway to attenuates insulin resistance. Int J Biol Macromol 2024; 280:135844. [PMID: 39326591 DOI: 10.1016/j.ijbiomac.2024.135844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Revised: 09/12/2024] [Accepted: 09/18/2024] [Indexed: 09/28/2024]
Abstract
Polycystic ovary syndrome (PCOS) is an endocrine disorder marked by aberrant glucose metabolism and reproductive dysfunction. It is characterized by polycystic ovaries, ovulatory dysfunction, and hyperandrogenemia. PCOS patients often experience a persistent, mild inflammation linked to various metabolic issues and insulin resistance (IR). Cordyceps polysaccharide (CP), extracted from the asexual form of the fungus Cordyceps gunnii, Hirsutella sinensis, is a bioactive crude polysaccharide with triple helix structure. CP was a spherical molecular polymer composed of rhamnose, arabinose, aminoglucose hydrochloride, galactose, glucose, and mannose, and has two molecular weights, 156.511 and 27.298 kDa. Our results corroborated that CP improve polycystic lesions in ovarian tissue and regulates hormone levels and the estrous cycle in rats with PCOS. However, the mechanism of action of this therapy in the treatment of polycystic ovary syndrome is not clear. In the present study, CP was found to modulates disturbances in glucose-lipid metabolism in model rats. In addition, it modulated gut microbiota by decreasing abundance of Gram-negative bacteria (norank_f__Desulfovibrionaceae, Helicobacter), hereby inhibiting the production and transfer of LPS into the systemic circulation. This suppressed the TLR4/MyD88/NF-κB inflammatory pathway in the liver and adipose tissue and restored insulin signaling, which improved IR in PCOS rats. Our findings demonstrate that based on the regulation of gut microbiota disorders and the repair of intestinal barrier damage, CP inhibited the gut-derived LPS/TLR4 inflammatory pathway in liver to attenuated IR, which led to the improvement of ovarian polycystic lesions. In addition, this study tapped into the role of Cordyceps polysaccharides in improving female reproductive function, expanding its clinical application in women with PCOS, which is innovative and offers valuable insights into the therapeutic potential of CP for treating PCOS.
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Karadzhov G, Albert PS, Henry KA, Abnet CC, Lawrence WR, Shiels MS, Zhang T, Powell-Wiley TM, Chen Y. Cancer mortality and geographic inequalities: a detailed descriptive and spatial analysis of social determinants across US counties, 2018-2021. Public Health 2024; 237:1-6. [PMID: 39316850 DOI: 10.1016/j.puhe.2024.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/24/2024] [Accepted: 08/22/2024] [Indexed: 09/26/2024]
Abstract
OBJECTIVE In the United States, cancer mortality rates continue to decline, yet geographic and racial disparities persist and are particularly evident in the Delta region, characterized by high economic distress and disease burden. We examined cancer mortality patterns by demographic groups across geographic region (Delta vs non-Delta) and investigated the influence of macro-level social determinants of health (SDoH) in cancer death. STUDY DESIGN AND METHODS This observational study included cancer death records of individuals aged ≥20 years from 2018 to 2021 in the United States. County-level characteristics were ascertained through the linkage of multiple national administrative and community surveys. We estimated age-standardized mortality rates (ASR) and rate ratios. We calculated the adjusted relative risks by county-level SDoH (geographic region, rurality, household income, income inequality, health insurance, and education) and other factors using age-adjusted multivariate quasi-Poisson regression. RESULTS In 2018-2021, approximately 2.4 million cancer deaths occurred in the United States. We observed important declines in the Black-White disparities, from 16.6% in 2018 (ASR = 289.9 vs 248.6 per 100,000) to 12.1% in 2021 (281.1 vs 250.8) in the Delta region and from 15.9% (254.9 vs 219.9) to 10.7% (240.6 vs 217.3) in the non-Delta region, though Black men in the Delta region remained the highest rate (ASR2021 = 346.9 per 100,000). County-level analyses provided strong evidence of geographic inequality and the role of SDoH, particularly education and income inequality. CONCLUSIONS Unfavorable SDoH are associated with increased cancer death risk. Region-specific health policies and interventions in the Delta region are essential to advance cancer health equity.
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Jia W, Xu V, Kuns K, Nakano M, Barsotti L, Evans M, Mavalvala N, Abbott R, Abouelfettouh I, Adhikari RX, Ananyeva A, Appert S, Arai K, Aritomi N, Aston SM, Ball M, Ballmer SW, Barker D, Berger BK, Betzwieser J, Bhattacharjee D, Billingsley G, Bode N, Bonilla E, Bossilkov V, Branch A, Brooks AF, Brown DD, Bryant J, Cahillane C, Cao H, Capote E, Chen Y, Clara F, Collins J, Compton CM, Cottingham R, Coyne DC, Crouch R, Csizmazia J, Cullen TJ, Dartez LP, Demos N, Dohmen E, Driggers JC, Dwyer SE, Effler A, Ejlli A, Etzel T, Feicht J, Frey R, Frischhertz W, Fritschel P, Frolov VV, Fulda P, Fyffe M, Ganapathy D, Gateley B, Giaime JA, Giardina KD, Glanzer J, Goetz E, Goodwin-Jones AW, Gras S, Gray C, Griffith D, Grote H, Guidry T, Hall ED, Hanks J, Hanson J, Heintze MC, Helmling-Cornell AF, Huang HY, Inoue Y, James AL, Jennings A, Karat S, Kasprzack M, Kawabe K, Kijbunchoo N, Kissel JS, Kontos A, Kumar R, Landry M, Lantz B, Laxen M, Lee K, Lesovsky M, Llamas F, Lormand M, Loughlin HA, Macas R, MacInnis M, Makarem CN, Mannix B, Mansell GL, Martin RM, Maxwell N, McCarrol G, McCarthy R, McClelland DE, McCormick S, McCuller L, McRae T, Mera F, Merilh EL, Meylahn F, Mittleman R, Moraru D, Moreno G, Mould M, Mullavey A, Nelson TJN, Neunzert A, Oberling J, O'Hanlon T, Osthelder C, Ottaway DJ, Overmier H, Parker W, Pele A, Pham H, Pirello M, Quetschke V, Ramirez KE, Reyes J, Richardson JW, Robinson M, Rollins JG, Romie JH, Ross MP, Sadecki T, Sanchez A, Sanchez EJ, Sanchez LE, Savage RL, Schaetzl D, Schiworski MG, Schnabel R, Schofield RMS, Schwartz E, Sellers D, Shaffer T, Short RW, Sigg D, Slagmolen BJJ, Soni S, Sun L, Tanner DB, Thomas M, Thomas P, Thorne KA, Torrie CI, Traylor G, Vajente G, Vanosky J, Vecchio A, Veitch PJ, Vibhute AM, von Reis ERG, Warner J, Weaver B, Weiss R, Whittle C, Willke B, Wipf CC, Yamamoto H, Yu H, Zhang L, Zucker ME. Squeezing the quantum noise of a gravitational-wave detector below the standard quantum limit. Science 2024; 385:1318-1321. [PMID: 39298573 DOI: 10.1126/science.ado8069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/22/2024] [Indexed: 09/22/2024]
Abstract
The Heisenberg uncertainty principle dictates that the position and momentum of an object cannot be simultaneously measured with arbitrary precision, giving rise to an apparent limitation known as the standard quantum limit (SQL). Gravitational-wave detectors use photons to continuously measure the positions of freely falling mirrors and so are affected by the SQL. We investigated the performance of the Laser Interferometer Gravitational-Wave Observatory (LIGO) after the experimental realization of frequency-dependent squeezing designed to surpass the SQL. For the LIGO Livingston detector, we found that the upgrade reduces quantum noise below the SQL by a maximum of three decibels between 35 and 75 hertz while achieving a broadband sensitivity improvement, increasing the overall detector sensitivity during astrophysical observations.
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