Combination of Searches for Higgs Boson Pair Production in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector

This Letter presents results from a combination of searches for Higgs boson pair production using 126-140  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV recorded with the ATLAS detector. At 95% confidence level (CL), the upper limit on the production rate is 2.9 times the standard model (SM) prediction, with an expected limit of 2.4 assuming no Higgs boson pair production. Constraints on the Higgs boson self-coupling modifier κ_{λ}=λ_{HHH}/λ_{HHH}^{SM}, and the quartic HHVV coupling modifier κ_{2V}=g_{HHVV}/g_{HHVV}^{SM}, are derived individually, fixing the other parameter to its SM value. The observed 95% CL intervals are -1.2<κ_{λ}<7.2 and 0.6<κ_{2V}<1.5, respectively, while the expected intervals are -1.6<κ_{λ}<7.2 and 0.4<κ_{2V}<1.6 in the SM case. Constraints obtained for several interaction parameters within Higgs effective field theory are the strongest to date, offering insights into potential deviations from SM predictions.

Studies of the Energy Dependence of Diboson Polarization Fractions and the Radiation-Amplitude-Zero Effect in WZ Production with the ATLAS Detector

This Letter presents the first study of the energy dependence of diboson polarization fractions in WZ→ℓνℓ^{'}ℓ^{'}(ℓ,ℓ^{'}=e,μ) production. The dataset used corresponds to an integrated luminosity of 140  fb^{-1} of proton-proton collisions at a center-of-mass energy of 13 TeV recorded by the ATLAS detector. Two fiducial regions with an enhanced presence of events featuring two longitudinally polarized bosons are defined. A nonzero fraction of events with two longitudinally polarized bosons is measured with an observed significance of 5.3 standard deviations in the region with 100200  GeV, where p_{T}^{Z} is the transverse momentum of the Z boson. This Letter also reports the first study of the radiation-amplitude-zero effect. Events with two transversely polarized bosons are analyzed for the ΔY(ℓ_{W}Z) and ΔY(WZ) distributions defined respectively as the rapidity difference between the lepton from the W boson decay and the Z boson and the rapidity difference between the W boson and the Z boson. Significant suppression of events near zero is observed in both distributions. Unfolded ΔY(ℓ_{W}Z) and ΔY(WZ) distributions are also measured and compared to theoretical predictions.

Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service

Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance increases of software running on central processing units (CPUs), explorations of coprocessor usage in data processing hold great potential and interest. Coprocessors are a class of computer processors that supplement CPUs, often improving the execution of certain functions due to architectural design choices. We explore the approach of Services for Optimized Network Inference on Coprocessors (SONIC) and study the deployment of this as-a-service approach in large-scale data processing. In the studies, we take a data processing workflow of the CMS experiment and run the main workflow on CPUs, while offloading several machine learning (ML) inference tasks onto either remote or local coprocessors, specifically graphics processing units (GPUs). With experiments performed at Google Cloud, the Purdue Tier-2 computing center, and combinations of the two, we demonstrate the acceleration of these ML algorithms individually on coprocessors and the corresponding throughput improvement for the entire workflow. This approach can be easily generalized to different types of coprocessors and deployed on local CPUs without decreasing the throughput performance. We emphasize that the SONIC approach enables high coprocessor usage and enables the portability to run workflows on different types of coprocessors.

[Update on Tolvaptan for the Treatment of Refractory Ascites in Liver Cirrhosis]

Ascites is the most prevalent complication of decompensated cirrhosis, and approximately 5%-10% of cirrhotic ascites will develop into refractory ascites (RA). With complicated pathogenesis, obscure treatment strategies and poor prognosis, it is still a challenge for physicians to manage RA properly. Tolvaptan (TLV) is a new type of non-peptide selective arginine vasopressin V2 receptor antagonist targeting at suppressing renal water reabsorption, promoting free water excretion and raising blood sodium levels, which provides a new option for the treatment of RA in liver cirrhosis. In this review, we summarized the mechanisms of TLV's effect and described its efficacy, safety and predictive factors of response in treating RA, intending to provide a supplement for clinical application of tolvaptan in the management of RA.

Observation of quantum entanglement with top quarks at the ATLAS detector

Entanglement is a key feature of quantum mechanics1-3, with applications in fields such as metrology, cryptography, quantum information and quantum computation4-8. It has been observed in a wide variety of systems and length scales, ranging from the microscopic9-13 to the macroscopic14-16. However, entanglement remains largely unexplored at the highest accessible energy scales. Here we report the highest-energy observation of entanglement, in top-antitop quark events produced at the Large Hadron Collider, using a proton-proton collision dataset with a centre-of-mass energy of √s = 13 TeV and an integrated luminosity of 140 inverse femtobarns (fb)-1 recorded with the ATLAS experiment. Spin entanglement is detected from the measurement of a single observable D, inferred from the angle between the charged leptons in their parent top- and antitop-quark rest frames. The observable is measured in a narrow interval around the top-antitop quark production threshold, at which the entanglement detection is expected to be significant. It is reported in a fiducial phase space defined with stable particles to minimize the uncertainties that stem from the limitations of the Monte Carlo event generators and the parton shower model in modelling top-quark pair production. The entanglement marker is measured to be D = -0.537 ± 0.002 (stat.) ± 0.019 (syst.) for 340 GeV < m t t ¯ < 380 GeV . The observed result is more than five standard deviations from a scenario without entanglement and hence constitutes the first observation of entanglement in a pair of quarks and the highest-energy observation of entanglement so far.

Label-free differentiation of pancreatic pathologies from normal pancreas utilizing end-to-end three-dimensional multimodal networks on CT

AIMS

To investigate the utilization of an end-to-end multimodal convolutional model in the rapid and accurate diagnosis of pancreatic diseases using abdominal CT images.

MATERIALS AND METHODS

In this study, a novel lightweight label-free end-to-end multimodal network (eeMulNet) model was proposed for the rapid and precise diagnosis of abnormal pancreas. The eeMulNet consists of two steps: pancreatic region localization and multimodal CT diagnosis integrating textual and image data. A research dataset comprising 715 CT scans with various types of pancreas diseases and 228 CT scans from a control group was collected. The training set and independent test set for the multimodal classification network were randomly divided in an 8:2 ratio (755 for training and 188 for testing).

RESULTS

The eeMulNet model demonstrated outstanding performance on an independent test set of 188 CT scans (Normal: 45, Abnormal: 143), with an area under the curve (AUC) of 1.0, accuracy of 100%, and sensitivity of 100%. The average testing duration per patient was 41.04 seconds, while the classification network took only 0.04 seconds.

CONCLUSIONS

The proposed eeMulNet model offers a promising approach for the diagnosis of pancreatic diseases. It can support the identification of suspicious cases during daily radiology work and enhance the accuracy of pancreatic disease diagnosis. The codes and models of eeMulNet are publicly available at Rudeguy1/eeMulNet (github.com).

[A retrospective study of 96 cases of adrenal metastases]

Objective: To analyze the clinical characteristics, etiological composition, imaging features, and prognosis of adrenal metastases. Methods: This study is a retrospective case series that included 96 patients with pathologically confirmed adrenal metastases who were treated at West China Hospital, Sichuan University, from 2007 to 2017. Clinical features such as sex, age, tumor size, biochemical tests, imaging characteristics, postoperative pathology, treatment methods, and prognosis were collected and analyzed. The prognosis of patients and its influencing factors were analyzed by Kaplan-Meier survival curve and single-factor Cox risk proportional model. Results: Among the 96 included patients, 64 were male and 32 were female, with a median age of 60 years. There were 89 cases of unilateral adrenal metastases, five cases of bilateral metastases, and two cases with unspecified laterality. The median diameter of the metastases was 3.5 cm×2.9 cm, with an average CT value of 31 HU. Thirty-four cases of adrenal hormones were evaluated, and no abnormality was found.The primary tumor sites were as follows: lung (n=36), kidney (n=19), liver (n=12), pancreas (n=7), rectum (n=3), stomach (n=2), and one case each of tumor in the esophagus, skin, thyroid, left maxillary muscle, breast, bladder, cervix, chest wall, and gastrointestinal tract. There were three cases with unknown primary tumors. The most common pathological type was lung adenocarcinoma (20.8%, 20/96), followed by hepatocellular carcinoma (9.4%, 9/96) and high-grade invasive urothelial carcinoma of the kidney (8.3%, 8/96). Thirty-nine cases were diagnosed concurrently with the primary tumor, while 37 cases were diagnosed after the primary tumor, with a median interval of 15 months (range: 2-144 months). There was no significant correlation between the death risk of adrenal metastatic tumor patients and gender, age, and the size of the metastatic tumor (all P>0.05). There were 4 patients with radiotherapy and chemotherapy alone, 19 patients with surgery alone, and 6 patients with combined radiotherapy and chemotherapy. The median overall survival was 1, 3, and 7 years, respectively. Conclusions: Adrenal metastases were mostly diagnosed at the same time as the primary tumor or within 15 months after the diagnosis of the primary tumor. Unilateral metastasis is common. The lungs are the most common primary lesion, followed by the kidney and liver. CT is the preferred method for the diagnosis of adrenal metastases, and the plain CT value is more than 30 HU. The overall prognosis of adrenal metastases is poor. The prognosis was better for patients who underwent surgery combined with radiotherapy and chemotherapy than those who received only surgery or radiotherapy and chemotherapy alone.

Autophagy Regulates Age-Related Jawbone Loss via LepR+ Stromal Cells

Bone aging and decreased autophagic activity are related but poorly explored in the jawbone. This study aimed to characterize the aging jawbones and jawbone-derived stromal cells (JBSCs) and determine the role of autophagy in jawbone mass decline. We observed that the jawbones of older individuals and mice exhibited similar age-related bone loss. Furthermore, leptin receptor (LepR)-lineage cells served as the primary source for in vitro cultured and expanded JBSCs, referred to as LepR-Cre+/JBSCs. RNA-sequencing data from the jawbones and LepR-Cre+/JBSCs showed the upregulated expression of the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway during aging. Through single-cell transcriptomics, we identified a decrease in the proportion of osteogenic lineage cells and the activation of the PI3K/AKT pathway in LepR-lineage cells in aging bone tissues. Reduced basal autophagic activity, diminished autophagic flux, and decreased osteogenesis occurred in the jawbones and LepR-Cre+/JBSCs from older mice (O-mice; O-JBSCs). Pharmacologic and constitutive autophagy activation alleviated the impaired osteogenesis in O-JBSCs. In addition, the suppression of mTOR-induced autophagy improved the aging phenotype of O-JBSCs. The activation of autophagy in LepR-Cre+/JBSCs using chemical autophagic activators reduced the alveolar bone resorption in O-mice. Therefore, our study demonstrated that ATG molecules and pathways are crucial in jawbone aging, providing novel approaches to understanding age-related jawbone loss.

Discovery of potential inhibitors targeting SARS-CoV-2 Mpro

OBJECTIVE

The coronavirus disease (COVID-19) pandemic, resulting from human-to-human transmission of a novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), has caused a global health emergency. The lack of a specific drug or treatment strategy against this disease makes it devastating. Given that the main protease (Mpro) of SARS-CoV-2 plays an indispensable role in viral polyprotein processing, its successful inhibition prevents viral replication and constrains virus spread. Therefore, developing an effective SARS-CoV-2 Mpro inhibitor to treat COVID-19 is imperative.

MATERIALS AND METHODS

We employed a high-throughput screening (HTS) method based on fluorescence polarization (FP) assay and further confirmed by the fluorescence resonance energy transfer (FRET) method for the discovery of Mpro inhibitors. Then multiple approaches were taken to investigate the inhibition profiles of the hit compounds against Mpro, including 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) proliferation assay, surface plasmon resonance analysis (SPR), high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (HPLC-Q-TOF-MS), cytopathic effect (CPE) assay, molecule docking, and the drug-likeness analysis.

RESULTS

In this study, four Mpro inhibitors with low toxicity were selected from HTS. According to SPR, all the hit compounds had medium binding affinities toward SARS-CoV-2 Mpro. HPLC-Q-TOF-MS results revealed the non-covalent linkage of each compound with SARS-CoV-2 Mpro. Molecule docking simulated the molecule interactions between each compound and the substrate binding pocket of SARS-CoV-2 Mpro. CPE assay was used to detect their inhibitory activities against coronaviruses HCoV-OC43 and HCoV-229E. In particular, the IMB63-8G compound demonstrated the highest antiviral potency [50% effective concentration (IC50) value of 1.71 μg/mL] and selectivity against HCoV-OC43 (SI = 39), which was more than 4-fold higher than that of ribavirin (RBV). Besides, the IMB63-8G compound possessed favorable drug-likeness characteristics.

CONCLUSIONS

Our results will highlight the therapeutic potential of these compounds for the treatment of SARS-CoV-2 infection.

Determining the optimal timing of adjuvant chemotherapy initiation after concurrent chemoradiotherapy in locoregionally advanced nasopharyngeal carcinoma

BACKGROUND

Studies on several malignancies have suggested that the time to commencement of adjuvant chemotherapy (AC) is associated with survival outcomes. There have, however, been no relevant reports of nasopharyngeal carcinoma (NPC).

PATIENTS AND METHODS

This clinical study examined newly diagnosed patients between April 2017 and December 2020. The primary endpoint was progression-free survival (PFS). Inverse probability of treatment weighting was used to control for confounding factors. Cox models with restricted cubic splines, Kaplan-Meier method and log-rank tests were used to evaluate the relationship between AC timing and survival.

RESULTS

A total of 551 patients were identified [median age, 45 years (interquartile range 36-52 years); 383 (69.5%) male]. Restricted cubic splines demonstrated that the timing of AC initiation had a U-shaped association with PFS. The risk of disease progression decreased within 37 days and subsequently increased. From 37 to 90 days, each additional 7-day delay conferred worse PFS of 1.32 months {hazard ratio (HR): 1.14 [95% confidence interval (CI) 1.01-1.28], P = 0.04}. The cut-off value of the receiver operating characteristic curve for initiation was 69.5 days. At a median follow-up of 48 months, the PFS was significantly better in patients initiated within 69.5 days [HR: 2.18 (95% CI 1.17-4.06), log-rank P = 0.009], with a higher 3-year rate [78.8% (95% CI 75.1% to 82.7%) versus 59.0% (95% CI 42.2% to 82.5%)] than beyond 69.5 days. Positive results were also observed in secondary endpoints. The initiation group was an independent prognostic factor [HR: 2.28 (95% CI 1.42-3.66), P < 0.001].

CONCLUSIONS

The optimal timing of AC initiation is ∼37 days after concurrent chemoradiotherapy in patients with locoregionally advanced nasopharyngeal carcinoma. A delay beyond 69.5 days is associated with compromised survival. Efforts should be made to address the reasons for delays and ensure the timely initiation of AC.

Prediction of body condition score throughout lactation by random regression test-day models

Regular monitoring of body condition score (BCS) changes during lactation is a crucial management tool in dairy cattle; however, the current BCS measurements are often discontinuous and unevenly spaced in time. The aim of this study was to investigate the ability of random regression test-day models (RR-TDM) to predict BCS for the entire lactation in dairy cows even if the actual scoring is limited to one BCS record. The data consisted of test-day records of milk yield (MY), fat percentage (FP), protein percentage (PP) and BCS (based on a 9-point scale with unit increments; 1-9) collected from 2014 to 2022 in 128 herds in the Walloon Region of Belgium. In total, 20,698 test-day records on 2166 first-parity Holstein cows (2-12 with an average of 9.42 test-day records per cow) were available for MY, FP and PP; and 7985 records on the same animals (2-12 with an average of 3.68 records per cow) were available for BCS. To estimate the solutions, only one randomly selected BCS record per animal along with all her MY, FP and PP records were used, which were then used to predict BCS data (calibration set). The remaining BCS (1-11 with an average 2.86 BCS records per animal) were used to evaluate the goodness of the predictions (validation set). Multiple-trait RR-TDM was used to estimate (co)variance components through the average information restricted maximum likelihood (AI-REML) algorithm. Predicted BCS were grouped into nine classes as the original observed BCS used for comparison. Pearson correlation between the predicted and observed BCS, prediction error (PE), absolute prediction error (APE) and root mean squared prediction error (RMSE) were calculated. Mean (standard deviation; SD) BCS was 4.97 (1.01), 4.95 (1.07) and 4.98 (1.00) BCS units in the full, calibration and validation datasets, respectively. Pearson correlation between the observed and predicted BCS was 0.71, mean (SD) PE was 0.04 (0.52) BCS units, mean (SD) APE was 0.48 (0.53) BCS units and RMSE was 0.72 BCS units. These findings demonstrate the ability of RR-TDM to predict BCS for the entire lactation using a single BCS record along with available test-day records of milk yield and composition in Holstein dairy cows.

Measurement of multijet azimuthal correlations and determination of the strong coupling in proton-proton collisions at s = 13 Te V

A measurement is presented of a ratio observable that provides a measure of the azimuthal correlations among jets with large transverse momentum p T . This observable is measured in multijet events over the range ofp T = 360 - 3170 Ge V based on data collected by the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13Te V , corresponding to an integrated luminosity of 134fb - 1 . The results are compared with predictions from Monte Carlo parton-shower event generator simulations, as well as with fixed-order perturbative quantum chromodynamics (pQCD) predictions at next-to-leading-order (NLO) accuracy obtained with different parton distribution functions (PDFs) and corrected for nonperturbative and electroweak effects. Data and theory agree within uncertainties. From the comparison of the measured observable with the pQCD prediction obtained with the NNPDF3.1 NLO PDFs, the strong coupling at the Z boson mass scale isα S ( m Z ) = 0.1177 ± 0.0013 (exp) - 0.0073 + 0.0116 (theo) = 0 . 1177 - 0.0074 + 0.0117 , where the total uncertainty is dominated by the scale dependence of the fixed-order predictions. A test of the running of α S in theTe V region shows no deviation from the expected NLO pQCD behaviour.

[Linarin inhibits microglia activation-mediated neuroinflammation and neuronal apoptosis in mouse spinal cord injury by inhibiting the TLR4/NF-κB pathway]

OBJECTIVE

To investigate the mechanism underlying the neuroprotective effect of linarin (LIN) against microglia activation-mediated inflammation and neuronal apoptosis following spinal cord injury (SCI).

METHODS

Fifty C57BL/6J mice (8- 10 weeks old) were randomized to receive sham operation, SCI and linarin treatment at 12.5, 25, and 50 mg/kg following SCI (n=10). Locomotor function recovery of the SCI mice was assessed using the Basso Mouse Scale, inclined plane test, and footprint analysis, and spinal cord tissue damage and myelination were evaluated using HE and LFB staining. Nissl staining, immunofluorescence assay and Western blotting were used to observe surviving anterior horn motor neurons in injured spinal cord tissue. In cultured BV2 cells, the effects of linarin against lipopolysaccharide (LPS)‑induced microglia activation, inflammatory factor release and signaling pathway changes were assessed with immunofluorescence staining, Western blotting, RT-qPCR, and ELISA. In a BV2 and HT22 cell co-culture system, Western blotting was performed to examine the effect of linarin against HT22 cell apoptosis mediated by LPS-induced microglia activation.

RESULTS

Linarin treatment significantly improved locomotor function (P < 0.05), reduced spinal cord damage area, increased spinal cord myelination, and increased the number of motor neurons in the anterior horn of the SCI mice (P < 0.05). In both SCI mice and cultured BV2 cells, linarin effectively inhibited glial cell activation and suppressed the release of iNOS, COX-2, TNF-α, IL-6, and IL-1β, resulting also in reduced neuronal apoptosis in SCI mice (P < 0.05). Western blotting suggested that linarin-induced microglial activation inhibition was mediated by inhibition of the TLR4/NF- κB signaling pathway. In the cell co-culture experiments, linarin treatment significantly decreased inflammation-mediated apoptosis of HT22 cells (P < 0.05).

CONCLUSION

The neuroprotective effect of linarin is medicated by inhibition of microglia activation via suppressing the TLR4/NF‑κB signaling pathway, which mitigates neural inflammation and reduce neuronal apoptosis to enhance motor function of the SCI mice.