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Sharma M, Singh D, Saksena HB, Sharma M, Tiwari A, Awasthi P, Botta HK, Shukla BN, Laxmi A. Understanding the Intricate Web of Phytohormone Signalling in Modulating Root System Architecture. Int J Mol Sci 2021; 22:ijms22115508. [PMID: 34073675 PMCID: PMC8197090 DOI: 10.3390/ijms22115508] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/11/2021] [Accepted: 05/13/2021] [Indexed: 12/12/2022] Open
Abstract
Root system architecture (RSA) is an important developmental and agronomic trait that is regulated by various physical factors such as nutrients, water, microbes, gravity, and soil compaction as well as hormone-mediated pathways. Phytohormones act as internal mediators between soil and RSA to influence various events of root development, starting from organogenesis to the formation of higher order lateral roots (LRs) through diverse mechanisms. Apart from interaction with the external cues, root development also relies on the complex web of interaction among phytohormones to exhibit synergistic or antagonistic effects to improve crop performance. However, there are considerable gaps in understanding the interaction of these hormonal networks during various aspects of root development. In this review, we elucidate the role of different hormones to modulate a common phenotypic output, such as RSA in Arabidopsis and crop plants, and discuss future perspectives to channel vast information on root development to modulate RSA components.
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Sheen SS, Kim HJ, Singh D, Hwang SC, Park KJ, Ahn SV, Lee E, Park B, Jung JH, Park RW, Kim JH, Park HS, Park JH. Airflow limitation as a risk factor for vascular stiffness. Int J Tuberc Lung Dis 2021; 24:577-584. [PMID: 32552994 DOI: 10.5588/ijtld.19.0457] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Cardiovascular disease is one of the main causes of mortality in patients with chronic obstructive pulmonary disease (COPD), and atherosclerosis is a cause of cardiac comorbidities in COPD. However, it is not clear whether airflow limitation is associated with atherosclerosis irrespective of smoking.OBJECTIVE: To investigate whether airflow limitation is independently associated with vascular stiffness.METHODS: We enrolled 18 893 participants (male 70.5%; mean age 47.5 ± 9.8 years; never smokers 44.2%) who underwent spirometry and brachial-ankle pulse wave velocity (baPWV) as part of a standard health examination at Ajou University Hospital, Suwon, South Korea, from January 2010 to December 2015.We defined vascular peripheral atherosclerosis as baPWV ≥ 1400 cm/s and airflow limitation as pre-bronchodilator ratio of forced expiratory volume in 1 sec (FEV1) to forced vital capacity (FVC) <70%.RESULTS: Mean baPWV was higher in subjects with airflow limitation (1477.6 ± 331.7 cm/sec, n = 638) than in those without airflow limitation (1344.1 ± 231.8 cm/sec, n = 18255, P < 0.001). In multivariate logistic regression analysis, the following were independent predictors associated with peripheral atherosclerosis (P < 0.05): age, male sex, fasting serum glucose, mean blood pressure, serum leukocyte count, serum low density lipoprotein level and FEV1.CONCLUSION: Airflow limitation was an independent predictor of vascular stiffness irrespective of smoking history, which suggests that airflow limitation is linked with atherosclerosis.
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Dracatos PM, Park RF, Singh D. Validating Molecular Markers for Barley Leaf Rust Resistance Genes Rph20 and Rph24. PLANT DISEASE 2021; 105:743-747. [PMID: 32967560 DOI: 10.1094/pdis-08-20-1735-sc] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Improving resistance to barley leaf rust (caused by Puccinia hordei) is an important breeding objective in most barley growing regions worldwide. The development and subsequent utilization of high-throughput PCR-based codominant molecular markers remains an effective approach to select genotypes with multiple effective resistance genes, permitting efficient gene deployment and stewardship. The genes Rph20 and Rph24 confer widely effective adult plant resistance (APR) to leaf rust, are common in European and Australian barley germplasm (often in combination), and act interactively to confer high levels of resistance. Here we report on the development and validation of codominant insertion-deletion (indel) based PCR markers that are highly predictive for the resistance alleles Rph20.ai and Rph24.an (both referred to as Rph20 and Rph24).
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Haghdoust R, Singh D, Park RF, Dracatos PM. Characterizing the Genetic Architecture of Nonhost Resistance in Barley Using Pathogenically Diverse Puccinia Isolates. PHYTOPATHOLOGY 2021; 111:684-694. [PMID: 32931394 DOI: 10.1094/phyto-05-20-0193-r] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Barley is an intermediate or near nonhost to many cereal rust pathogens that infect grasses, making it a highly suitable model to understand the evolution and genetic basis of nonhost resistance (NHR) in plants. To characterize the genetic architecture of NHR in barley, we used the Oregon Wolfe Barley doubled haploid and Morex × SusPtrit recombinant inbred line mapping populations. To elicit a wide array of NHR responses, we tested 492 barley accessions and both mapping populations with pathogenically diverse cereal rust isolates representing distinct formae speciales adapted to Avena, Hordeum, Triticum, and Lolium spp.: P. coronata f. sp. avenae (oat crown rust pathogen) and P. coronata f. sp. lolii (ryegrass crown rust pathogen), P. graminis f. sp. avenae (oat stem rust pathogen) and P. graminis f. sp. lolii (the ryegrass stem rust pathogen), and P. striiformis f. sp. tritici (wheat stripe rust pathogen) and P. striiformis f. sp. pseudo-hordei (barley grass stripe rust pathogen). With the exception of P. coronata f. sp. lolii and P. coronata f. sp. avenae, susceptibility and segregation for NHR was observed in the barley accessions and both mapping populations. Quantitative trait loci (QTLs) for NHR were mapped on all seven chromosomes. NHR in barley to the heterologous rusts tested was attributable to a combination of QTLs with either or both overlapping and distinct specificities. Across both mapping populations, broadly effective NHR loci were also identified that likely play a role in host specialization.
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Kaur R, Kumari A, Sharma G, Singh D, Kaur R. Biodegradation of endocrine disrupting chemicals benzyl butyl phthalate and dimethyl phthalate by Bacillus marisflavi RR014. J Appl Microbiol 2021; 131:1274-1288. [PMID: 33599367 DOI: 10.1111/jam.15045] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 02/05/2021] [Accepted: 02/15/2021] [Indexed: 11/27/2022]
Abstract
AIM The objectives of the present study were to explore the benzyl butyl phthalate (BBP) and dimethyl phthalate (DMP) degradation potential of Bacillus marisflavi RR014 isolated from the tap water of public toilet and also to optimize the phthalates degradation process using response surface methodology. METHODS AND RESULTS The minimal salt medium was used for the biodegradation analysis of phthalates. The quantification of phthalates and their intermediate metabolites identification were done by using UHPLC and LC-MS/MS respectively. The results revealed that B. marisflavi RR014 is capable of degrading both the phthalates under varying pH, temperature and salinity conditions. The formation of phthalic acid from the breakdown of BBP and DMP (500 mg l-1 ) in the medium was observed after 24 h. After 72 h, 61% of BBP and 98·9% of DMP in the medium was degraded as monitored by UHPLC. The identification of intermediate metabolites by LC-MS/MS revealed that hydrolysis of BBP and DMP produces phthalic acid. CONCLUSIONS The degradation rate of both the phthalates was increased as the parameters increased up to an optimum level. The three environmental factors (pH, temperature and salt concentration) strongly affect the rate of degradation of both the phthalates. The maximum degradation rate for both the phthalates was achieved at pH 7, temperature 35°C and salt concentration of 1% as observed from the central composite experimental design. SIGNIFICANCE AND IMPACT OF THE STUDY It is the first report on the phthalates biodegradation potential of B. marisflavi RR014 isolated from the tap water of public toilet. The bacterium is capable of degrading BBP and DMP under varying pH, temperature and salinity, therefore, ideal to treat the phthalate contaminated environments.
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Cronin DS, Bustamante MC, Barker J, Singh D, Rafaels KA, Bir C. Assessment of Thorax Finite Element Model Response for Behind Armor Blunt Trauma Impact Loading Using an Epidemiological Database. J Biomech Eng 2021; 143:1087628. [PMID: 33009546 DOI: 10.1115/1.4048644] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Indexed: 11/08/2022]
Abstract
Nonperforating ballistic impacts on thoracic armor can cause blunt injuries, known as behind-armor blunt trauma (BABT). To evaluate the potential for this injury, the back face deformation (BFD) imprinted into a clay backing is measured; however, the link between BFD and potential for injury is uncertain. Computational human body models (HBMs) have the potential to provide an improved understanding of BABT injury risk to inform armor design but require assessment with relevant loading scenarios. In this study, a methodology was developed to apply BABT loading to a computational thorax model, enhanced with refined finite element mesh and high-deformation rate mechanical properties. The model was assessed using an epidemiological BABT survivor database. BABT impact boundary conditions for 10 cases from the database were recreated using experimentally measured deformation for specific armor/projectile combinations, and applied to the thorax model using a novel prescribed displacement methodology. The computational thorax model demonstrated numerical stability under BABT impact conditions. The predicted number of rib fractures, the magnitude of pulmonary contusion, and injury rank, increased with armor BFD, back face velocity, and input energy to the thorax. In three of the 10 cases, the model overpredicted the number of rib fractures, attributed to impact location positional sensitivity and limited details from the database. The integration of an HBM with the BABT loading method predicted rib fractures and injury ranks that were in good agreement with available medical records, providing a potential tool for future armor evaluation and injury assessment.
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Singh D, Reed SM, Kimmitt AA, Alford KA, Stricker CA, Polly PD, Ketterson ED. Breeding at higher latitude is associated with higher photoperiodic threshold and delayed reproductive development in a songbird. Horm Behav 2021; 128:104907. [PMID: 33259797 DOI: 10.1016/j.yhbeh.2020.104907] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 11/20/2020] [Accepted: 11/21/2020] [Indexed: 11/26/2022]
Abstract
Many seasonally breeding animals exhibit a threshold day length (critical photoperiod; CPP) for gonadal growth, and populations breeding at higher latitudes typically have a higher CPP. Much less is known about latitudinal variation in CPP in migratory population that winter away from their breeding range and must time their reproduction to match favorable conditions at their destination. To address the relationship between migration, breeding latitude, and CPP, we held two closely related songbird populations in a common environment. One population is resident (Junco hyemalis carolinensis), the other winters in sympatry with the residents but migrates north to breed (Junco hyemalis hyemalis). We gradually increased photoperiod and measured indices of readiness to migrate (fat score, body mass) and breed (cloacal protuberance volume, baseline testosterone, and gonadotropin releasing hormone challenged testosterone). To estimate breeding latitude, we measured hydrogen isotopes in feathers grown the preceding year. As we predicted, we found a higher CPP in migrants than residents, and a higher CPP among migrants deriving from higher as opposed to lower latitudes. Migrants also terminated breeding earlier than residents, indicating a shorter breeding season. To our knowledge, this is a first demonstration of latitudinal variation in CPP-dependent reproductive timing in bird populations that co-exist in the non-breeding season but breed at different latitudes. We conclude that bird populations appear to exhibit local adaptation in reproductive timing by relying on differential CPP response that is predictive of future conditions on the breeding ground.
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Kaewmaraya T, Ngamwongwan L, Moontragoon P, Jarernboon W, Singh D, Ahuja R, Karton A, Hussain T. Novel green phosphorene as a superior chemical gas sensing material. JOURNAL OF HAZARDOUS MATERIALS 2021; 401:123340. [PMID: 32652419 DOI: 10.1016/j.jhazmat.2020.123340] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 06/13/2020] [Accepted: 06/27/2020] [Indexed: 06/11/2023]
Abstract
Green phosphorus and its monolayer variant, green phosphorene (GreenP), are the recent members of two-dimensional (2D) phosphorus polymorphs. The new polymorph possesses the high stability, tunable direct bandgap, exceptional electronic transport, and directionally anisotropic properties. All these unique features could reinforce it the new contender in a variety of electronic, optical, and sensing devices. Herein, we present gas-sensing characteristics of pristine and defected GreenP towards major environmental gases (i. e., NH3, NO, NO2, CO, CO2, and H2O) using combination of the density functional theory, statistical thermodynamic modeling, and the non-equilibrium Green's function approach (NEGF). The calculated adsorption energies, density of states (DOS), charge transfer, and Crystal Orbital Hamiltonian Population (COHP) reveal that NO, NO2, CO, CO2 are adsorbed on GreenP, stronger than both NH3 and H2O, which are weakly physisorbed via van der Waals interactions. Furthermore, substitutional doping by sulfur can selectively intensify the adsorption towards crucial NO2 gas because of the enhanced charge transfer between p orbitals of the dopant and the analyte. The statistical estimation of macroscopic measurable adsorption densities manifests that the significant amount of NO2 molecules can be practically adsorbed at ambient temperature even at the ultra-low concentration of part per billion (ppb). In addition, the current-voltage (I-V) characteristics of S-doped GreenP exhibit a variation upon NO2 exposure, indicating the superior sensitivity in sensing devices. Our work sheds light on the promising application of the novel GreenP as promising chemical gas sensors.
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Behera A, Sravanthi K, Kumar LK, Vedamurthy GV, Singh D, Onteru SK. Association of taurine with ovarian follicular steroids and postpartum anestrus condition in Murrah buffaloes. Domest Anim Endocrinol 2021; 74:106511. [PMID: 32739763 DOI: 10.1016/j.domaniend.2020.106511] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 06/11/2020] [Accepted: 06/11/2020] [Indexed: 11/30/2022]
Abstract
Taurine is an abundant intracellular beta-amino acid majorly synthesized in the liver and transported through plasma. In mammals, taurine was reported to be involved in various physiological functions, including the enhancement of testosterone levels, the major estradiol precursor. Therefore, we hypothesize that taurine levels are associated with ovarian follicular steroids as well as with a reproductive problem called postpartum anestrus (PPA) in dairy buffaloes. To understand the taurine levels and its possible role in buffalo ovarian follicles, a correlation was established among taurine, estradiol, and testosterone levels in the ovarian follicular fluid. For this purpose, buffalo ovaries were obtained from the slaughterhouse, and follicular fluid samples were collected from small (<4 mm), medium (4-8 mm) and large (>8 mm) follicles. Taurine and steroid levels in the follicular fluid were analyzed by TLC and ELISA, respectively. Taurine and testosterone levels were significantly (P < 0.05) higher in the follicular fluid of small and medium follicles than large follicles, whereas the estradiol levels were significantly (P < 0.001) higher in the large follicles. Thus, taurine showed a positive correlation (r = 0.75) with testosterone and a negative correlation (r = -0.77) with estradiol in buffalo follicular fluid, indicating its possible role in testosterone function during follicular development. Interestingly, significantly (P < 0.001) lower plasma taurine levels in PPA (n = 50) than normal cyclic (n = 50) buffaloes represented its association with PPA. Therefore, our present study recommends the need for future nutrition studies on taurine supplementation to PPA buffaloes.
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Singh D, Saini G, Koul R, Gupta V, Abrol D, De S, Kulshrestha P, Hukku SN, Lakshmi SJ, Parikh PM, Aggarwal S. Practical consensus recommendations regarding role of postmastectomy radiation therapy. South Asian J Cancer 2020; 7:87-90. [PMID: 29721470 PMCID: PMC5909302 DOI: 10.4103/sajc.sajc_108_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
The use of radiation therapy after mastectomy (PMRT) has been limited to those patients who are at significant risk of cancer recurring in the chest wall or in the nodal basins. The use of PMRT has been widely accepted for patients with four or more positive lymph nodes,[1],[2] but there is still controversy regarding the value of PMRT for those with one to three positive nodes. This expert group used data from published literature, practical experience and opinion of a large group of academic oncologists to arrive at these practical consensus recommendations for the benefit of community oncologists.
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Singh K, Junnarkar M, Singh D, Suchday S, Mitra S, Dayal P. Associations Between Religious/Spiritual Practices and Well-Being in Indian Elderly Rural Women. JOURNAL OF RELIGION AND HEALTH 2020; 59:2753-2774. [PMID: 31278629 DOI: 10.1007/s10943-019-00877-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Religion and spirituality (R/S) are embedded in all aspects of life in India, a predominantly rural economy. The aim of this mixed methods study was to assess the associations between a culturally tailored intervention and preexisting religious/spiritual (R/S) practices with indicators of well-being and factors which contribute to happiness among elderly rural women from Haryana state, India. The study consisted of three groups: field experimental group (FEG; n = 24); practitioners of preexisting R/S practices for at least 6 weeks Satsang (SG, n = 54), Brahma Kumaris (BKG, n = 54), and Radha Soami (RSG, n = 30), and non-practitioners of R/S practices (n = 64). All groups completed self-report measures of overall happiness and life satisfaction, global health, quality of life, and health status and physical health. Results revealed that FEG participants improved significantly on physical health, body balancing, and self-care; no changes were observed on the other well-being measures following the intervention. Practitioners of preexisting R/S practices were found significantly different from the non-practitioners on some indicators of health, quality of life, and well-being. Qualitative measures pointed to the importance of R/S and family and interpersonal relationships among elderly rural women.
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Gangwar A, Singh D. Re: Preliminary experience with promethazine hydrochloride injection in the sclerotherapy of oral mucosa. Int J Oral Maxillofac Surg 2020; 50:979. [PMID: 33054993 DOI: 10.1016/j.ijom.2020.09.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Accepted: 09/24/2020] [Indexed: 10/23/2022]
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Wanamaker SM, Singh D, Byrd AJ, Smiley TM, Ketterson ED. Local adaptation from afar: migratory bird populations diverge in the initiation of reproductive timing while wintering in sympatry. Biol Lett 2020; 16:20200493. [PMID: 33023381 PMCID: PMC7655480 DOI: 10.1098/rsbl.2020.0493] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 09/11/2020] [Indexed: 01/20/2023] Open
Abstract
The initiation of reproduction in many seasonally breeding animals is controlled by photoperiod and tends to be clinal: populations at higher latitudes breed later than those at lower latitudes, often reflecting a higher photoperiodic threshold. Migratory animals presumably time reproduction to match conditions at their breeding grounds, at least in part, by cues perceived on their wintering grounds. We asked how closely related dark-eyed junco (Junco hyemalis) populations that overwinter in sympatry but breed in allopatry respond to their shared winter environment by comparing early spring indices of readiness to migrate (fat and muscle condition) and breed (baseline and elevated testosterone). We measured stable hydrogen isotopes from feathers grown the preceding year and claws grown during winter to estimate breeding and wintering latitudes, respectively. We predicted that if reproductive initiation is adapted to the emergence of resources at their respective breeding destinations, then birds migrating to higher latitudes (slate-coloured junco; J. h. hyemalis) should delay breeding as compared with those migrating to lower latitudes (pink-sided junco; J. h. mearnsi) despite a common overwinter environment. We found higher testosterone in pink-sided juncos, consistent with earlier reproductive initiation, suggesting local adaptation in reproductive phenology is achieved through differential responses to predictive environmental cues.
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Macadaeg K, Truumees E, Boody B, Pena E, Arbuckle J, Gentile J, Funk R, Singh D, Vinayek S. A prospective, single arm study of intraosseous basivertebral nerve ablation for the treatment of chronic low back pain: 12-month results. ACTA ACUST UNITED AC 2020; 3:100030. [PMID: 35141598 PMCID: PMC8819913 DOI: 10.1016/j.xnsj.2020.100030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 07/29/2020] [Accepted: 09/15/2020] [Indexed: 12/15/2022]
Abstract
Background The basivertebral nerve (BVN) has been a recently discovered target as a potential source for vertebrogenic chronic low back pain (CLBP). Prior randomized controlled trials have demonstrated safety and efficacy of BVN ablation for vertebrogenic CLBP, but minimal data exists regarding BVN ablation’s clinical effectiveness with broader application outside of strict trial inclusion criteria. Methods Prospective, single arm, open label effectiveness trial of 48 patients from community spine and pain practices treated with BVN ablation. Inclusion criteria required more than 6 months of CLBP and type 1 or 2 Modic changes on MRI to be enrolled. Patients were followed post procedure for 12 months using ODI, VAS, EQ-5D-5L and SF-36 patient reported outcome metrics.Results: 47 patients successfully received BVN ablation and 45 patients completed 12 months of follow up. Mean reduction in ODI at 12 months was 32.31 +/- 14.07 (p<0.001) with 88.89% (40/45) patients reporting a ≥15 point ODI decrease at 12 months. Mean VAS pain score decrease was 4.31+/-2.51 at 12 months (p<0.001) and more than 69% reported a 50% reduction in VAS pain scale. Similarly, SF-36 and EQ-5D-5L scores improved 26.27+/-17.19 and 0.22+/-0.15 (each p<0.001). Conclusions This data supports the clinical effectiveness of BVN ablation in the community practice setting, with similar 12 month improvements in patient reported outcomes as seen in previously published randomized control trials.
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adhikari RX, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aich A, Aiello L, Ain A, Ajith P, Akcay S, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Ansoldi S, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ascenzi S, Ashton G, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baer AM, Baird J, Baldaccini F, Ballardin G, Ballmer SW, Bals A, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barkett K, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Benjamin MG, Bentley JD, Bergamin F, Berger BK, Bergmann G, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bhandari AV, Bidler J, Biggs E, Bilenko IA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Bissenbayeva G, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose S, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callaghan JD, Callister TA, Calloni E, Camp JB, Canepa M, Cannon KC, Cao H, Cao J, Carapella G, Carbognani F, Caride S, Carney MF, Carullo G, Casanueva Diaz J, Casentini C, Castañeda J, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi O, Chakravarti K, Chan C, Chan M, Chandra K, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen HY, Chen X, Chen Y, Cheng HP, Cheong CK, Chia HY, Chiadini F, Chierici R, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu Q, Chua S, Chung KW, Chung S, Ciani G, Ciecielag P, Cieślar M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Clesse S, Cleva F, Coccia E, Cohadon PF, Cohen D, Colleoni M, Collette CG, Collins C, Colpi M, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cunningham L, Cuoco E, Curylo M, Canton TD, Dálya G, Dana A, Daneshgaran-Bajastani LM, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Delfavero M, De Lillo N, Del Pozzo W, DeMarchi LM, D'Emilio V, Demos N, Dent T, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Durante O, D'Urso D, Dwyer SE, Easter PJ, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Errico L, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Feng F, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fittipaldi R, Fitz-Axen M, Fiumara V, Flaminio R, Floden E, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fronzè G, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Galaudage S, Ganapathy D, Ganguly A, Gaonkar SG, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Gibson DR, Gier C, Gill K, Glanzer J, Gniesmer J, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gossan SE, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Griggs HL, Grignani G, Grimaldi A, Grimm SJ, Grote H, Grunewald S, Gruning P, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Haegel L, Halim O, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasskew RK, Haster CJ, Haughian K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heinze J, Heitmann H, Hellman F, Hello P, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Heurs M, Hild S, Hinderer T, Hoback SY, Hochheim S, Hofgard E, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Huang Y, Hübner MT, Huerta EA, Huet D, Hughey B, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Idzkowski B, Iess A, Inchauspe H, Ingram C, Intini G, Isac JM, Isi M, Iyer BR, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jani K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jiang J, Johns GR, Johnson-McDaniel NK, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Kéfélian F, Keitel D, Keivani A, Kennedy R, Key JS, Khadka S, Khalili FY, Khan I, Khan S, Khan ZA, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim GJ, Kim JC, Kim K, Kim W, Kim WS, Kim YM, Kimball C, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knowles TD, Knyazev E, Koch P, Koehlenbeck SM, Koekoek G, Koley S, Kondrashov V, Kontos A, Koper N, Korobko M, Korth WZ, Kovalam M, Kozak DB, Kringel V, Krishnendu NV, Królak A, Krupinski N, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kumar S, Kuo L, Kutynia A, Lackey BD, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HM, Lee HW, Lee J, Lee K, Lehmann J, Leroy N, Letendre N, Levin Y, Li AKY, Li J, Li K, Li TGF, Li X, Linde F, Linker SD, Linley JN, Littenberg TB, Liu J, Liu X, Llorens-Monteagudo M, Lo RKL, Lockwood A, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez V, Martynov DV, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Mavalvala N, Maynard E, McCann JJ, McCarthy R, McClelland DE, McCormick S, McCuller L, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Mejuto Villa E, Melatos A, Mendell G, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Metzdorff R, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Nagar A, Nardecchia I, Naticchioni L, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng S, Nguyen C, Nguyen P, Nichols D, Nichols SA, Nissanke S, Nitz A, Nocera F, Noh M, North C, Nothard D, Nuttall LK, Oberling J, O'Brien BD, Oganesyan G, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Olivetto C, Oppermann P, Oram RJ, O'Reilly B, Ormiston RG, Ortega LF, O'Shaughnessy R, Ossokine S, Osthelder C, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patricelli B, Payne E, Pearlstone BL, Pechsiri TC, Pedersen AJ, Pedraza M, Pele A, Penn S, Perego A, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Piotrzkowski K, Pirello M, Pitkin M, Plastino W, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rafferty H, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robinet F, Rocchi A, Rodriguez-Soto RD, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romero-Shaw IM, Romie JH, Rose CA, Rose D, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rowlinson SJ, Roy PK, Roy S, Roy S, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sanders JR, Santiago KA, Santos E, Sarin N, Sassolas B, Sathyaprakash BS, Sauter O, Savage RL, Savant V, Sawant D, Sayah S, Schaetzl D, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Schwarm O, Schwartz E, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Sharifi S, Shahriar MS, Sharma A, Sharma P, Shawhan P, Shen H, Shikauchi M, Shink R, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Singhal A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Somala S, Son EJ, Soni S, Sorazu B, Sordini V, Sorrentino F, Souradeep T, Sowell E, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson S, Stocks D, Stops DJ, Stover M, Strain KA, Stratta G, Strunk A, Sturani R, Stuver AL, Sudhagar S, Sudhir V, Summerscales TZ, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Tanasijczuk AJ, Tanner DB, Tao D, Tápai M, Tapia A, Tapia San Martin EN, Tasson JD, Taylor R, Tenorio R, Terkowski L, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tinsman CL, Saravanan TR, Tiwari S, Tiwari S, Tiwari V, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Tosta E Melo I, Töyrä D, Travasso F, Traylor G, Tringali MC, Tripathee A, Trovato A, Trudeau RJ, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Turconi M, Ubhi AS, Udall R, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Utina AC, Vahlbruch H, Vajente G, Valdes G, Valentini M, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, Van Heijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Veske D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vivanco FH, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace GS, Wallace L, Walsh S, Wang JZ, Wang S, Wang WH, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Willis JL, Willke B, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wong ICF, Wright JL, Wu DS, Wysocki DM, Xiao L, Yamamoto H, Yang L, Yang Y, Yang Z, Yap MJ, Yazback M, Yeeles DW, Yu H, Yu H, Yuen SHR, Zadrożny AK, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao G, Zhou M, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J. GW190521: A Binary Black Hole Merger with a Total Mass of 150 M_{⊙}. PHYSICAL REVIEW LETTERS 2020; 125:101102. [PMID: 32955328 DOI: 10.1103/physrevlett.125.101102] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 06/19/2020] [Accepted: 07/09/2020] [Indexed: 06/08/2023]
Abstract
On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio of 14.7, and an estimated false-alarm rate of 1 in 4900 yr using a search sensitive to generic transients. If GW190521 is from a quasicircular binary inspiral, then the detected signal is consistent with the merger of two black holes with masses of 85_{-14}^{+21} M_{⊙} and 66_{-18}^{+17} M_{⊙} (90% credible intervals). We infer that the primary black hole mass lies within the gap produced by (pulsational) pair-instability supernova processes, with only a 0.32% probability of being below 65 M_{⊙}. We calculate the mass of the remnant to be 142_{-16}^{+28} M_{⊙}, which can be considered an intermediate mass black hole (IMBH). The luminosity distance of the source is 5.3_{-2.6}^{+2.4} Gpc, corresponding to a redshift of 0.82_{-0.34}^{+0.28}. The inferred rate of mergers similar to GW190521 is 0.13_{-0.11}^{+0.30} Gpc^{-3} yr^{-1}.
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Narayan Das N, Kumar N, Kaur M, Kumar V, Singh D. Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays. Ing Rech Biomed 2020; 43:114-119. [PMID: 32837679 PMCID: PMC7333623 DOI: 10.1016/j.irbm.2020.07.001] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 06/24/2020] [Accepted: 07/01/2020] [Indexed: 12/28/2022]
Abstract
The most widely used novel coronavirus (COVID-19) detection technique is a real-time polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours to confirm infection in the patient. Due to less sensitivity of RT-PCR, it provides high false-negative results. To resolve this problem, radiological imaging techniques such as chest X-rays and computed tomography (CT) are used to detect and diagnose COVID-19. In this paper, chest X-rays is preferred over CT scan. The reason behind this is that X-rays machines are available in most of the hospitals. X-rays machines are cheaper than the CT scan machine. Besides this, X-rays has low ionizing radiations than CT scan. COVID-19 reveals some radiological signatures that can be easily detected through chest X-rays. For this, radiologists are required to analyze these signatures. However, it is a time-consuming and error-prone task. Hence, there is a need to automate the analysis of chest X-rays. The automatic analysis of chest X-rays can be done through deep learning-based approaches, which may accelerate the analysis time. These approaches can train the weights of networks on large datasets as well as fine-tuning the weights of pre-trained networks on small datasets. However, these approaches applied to chest X-rays are very limited. Hence, the main objective of this paper is to develop an automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays by using the extreme version of the Inception (Xception) model. Extensive comparative analyses show that the proposed model performs significantly better as compared to the existing models.
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Aplin FP, Singh D, Della Santina CC, Fridman GY. Combined ionic direct current and pulse frequency modulation improves the dynamic range of vestibular canal stimulation. J Vestib Res 2020; 29:89-96. [PMID: 30856136 DOI: 10.3233/ves-190651] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Vestibular prostheses emulate normal vestibular function by electrically stimulating the semicircular canals using pulse frequency modulation (PFM). Spontaneous activity at the vestibular nerve may limit the dynamic range elicited by PFM. One proposed solution is the co-application of ionic direct current (iDC) to inhibit this spontaneous activity. OBJECTIVE We aimed to test the hypothesis that a tonic iDC baseline delivered in conjunction with PFM to the vestibular semicircular canals could improve the dynamic range of evoked eye responses. METHODS Gentamicin-treated chinchillas were implanted with microcatheter electrodes in the vestibular semicircular canals through which pulsatile and iDC current was delivered. PFM was used to modulate vestibulo-ocular reflex (VOR) once it was adapted to a preset iDC and pulse-frequency baseline. Responses to stimulation were assessed by recording the evoked VOR eye direction and velocity. RESULTS PFM produced VOR responses aligned to the stimulated canal. Introduction of an iDC baseline lead to a small but statistically significant increase in eye response velocity, without influencing the direction of eye rotation. CONCLUSIONS Tonic iDC baselines increase the dynamic range of encoding head velocity evoked by pulsatile stimulation, potentially via the inhibition of spontaneous activity in the vestibular nerve.
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Yen E, Singh D, Wu M, Singh R. OP0248 PREMATURE MORTALITY BURDEN FOR SYSTEMIC SCLEROSIS: NATIONWIDE POPULATION-BASED STUDY. Ann Rheum Dis 2020. [DOI: 10.1136/annrheumdis-2020-eular.2270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:Premature mortality is an important way to quantify disease burden. Patients with systemic sclerosis (SSc) can die prematurely of disease, however, the premature mortality burden of SSc is unknown. The years of potential life lost (YPLL), in addition to age-standardized mortality rate (ASMR) in younger ages, can be used as measures of premature death.Objectives:To evaluate the premature mortality burden of SSc by calculating: 1) the proportions of SSc deaths as compared to deaths from all other causes (non-SSc) by age groups over time, 2) ASMR for SSc relative to non-SSc-ASMR by age groups over time, and 3) the YPLL for SSc relative to other autoimmune diseases.Methods:This is a population-based study using a national mortality database of all United States residents from 1968 through 2015, with SSc recorded as the underlying cause of death in 46,798 deaths. First, we calculated the proportions of deaths for SSc and non-SSc by age groups for each of 48 years and performed joinpoint regression trend analysis1to estimate annual percent change (APC) and average APC (AAPC) in the proportion of deaths by age. Second, we calculated ASMR for SSc and non-SSc causes and ratio of SSc-ASMR to non-SSc-ASMR by age groups for each of 48 years, and performed joinpoint analysis to estimate APC and AAPC for these measures (SSc-ASMR, non-SSc-ASMR, and SSc-ASMR/non-SSc-ASMR ratio) by age. Third, to calculate YPLL, each decedent’s age at death from a specific disease was subtracted from an arbitrary age limit of 75 years for years 2000 to 2015. The years of life lost were then added together to yield the total YPLL for each of 13 preselected autoimmune diseases.Results:23.4% of all SSc deaths as compared to 13.5% of non-SSc deaths occurred at <45 years age in 1968 (p<0.001, Chi-square test). In this age group, the proportion of annual deaths decreased more for SSc than for non-SSc causes: from 23.4% in 1968 to 5.7% in 2015 at an AAPC of -2.2% (95% CI, -2.4% to -2.0%) for SSc, and from 13.5% to 6.9% at an AAPC of -1.5% (95% CI, -1.9% to -1.1%) for non-SSc. Thus, in 2015, the proportion of SSc and non-SSc deaths at <45 year age was no longer significantly different. Consistently, SSc-ASMR decreased from 1.0 (95% CI, 0.8 to 1.2) in 1968 to 0.4 (95% CI, 0.3 to 0.5) per million persons in 2015, a cumulative decrease of 60% at an AAPC of -1.9% (95% CI, -2.5% to -1.2%) in <45 years old. The ratio of SSc-ASMR to non-SSc-ASMR also decreased in this age group (cumulative -20%, AAPC -0.3%). In <45 years old, the YPLL for SSc was 65.2 thousand years as compared to 43.2 thousand years for rheumatoid arthritis, 18.1 thousand years for dermatomyositis,146.8 thousand years for myocarditis, and 241 thousand years for type 1 diabetes.Conclusion:Mortality at younger ages (<45 years) has decreased at a higher pace for SSc than from all other causes in the United States over a 48-year period. However, SSc accounted for more years of potential life lost than rheumatoid arthritis and dermatomyositis combined. These data warrant further studies on SSc disease burden, which can be used to develop and prioritize public health programs, assess performance of changes in treatment, identify high-risk populations, and set research priorities and funding.References:[1]Yen EY….Singh RR. Ann Int Med 2017;167:777-785.Disclosure of Interests:None declared
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Gongora-Canul C, Salgado JD, Singh D, Cruz AP, Cotrozzi L, Couture J, Rivadeneira MG, Cruppe G, Valent B, Todd T, Poland J, Cruz CD. Temporal Dynamics of Wheat Blast Epidemics and Disease Measurements Using Multispectral Imagery. PHYTOPATHOLOGY 2020; 110:393-405. [PMID: 31532351 DOI: 10.1094/phyto-08-19-0297-r] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Wheat blast is a devastating disease caused by the Triticum pathotype of Magnaporthe oryzae. M. oryzae Triticum is capable of infecting leaves and spikes of wheat. Although symptoms of wheat spike blast (WSB) are quite distinct in the field, symptoms on leaves (WLB) are rarely reported because they are usually inconspicuos. Two field experiments were conducted in Bolivia to characterize the change in WLB and WSB intensity over time and determine whether multispectral imagery can be used to accurately assess WSB. Disease progress curves (DPCs) were plotted from WLB and WSB data, and regression models were fitted to describe the nature of WSB epidemics. WLB incidence and severity changed over time; however, the mean WLB severity was inconspicuous before wheat began spike emergence. Overall, both Gompertz and logistic models helped to describe WSB intensity DPCs fitting classic sigmoidal shape curves. Lin's concordance correlation coefficients were estimated to measure agreement between visual estimates and digital measurements of WSB intensity and to estimate accuracy and precision. Our findings suggest that the change of wheat blast intensity in a susceptible host population over time does not follow a pattern of a monocyclic epidemic. We have also demonstrated that WSB severity can be quantified using a digital approach based on nongreen pixels. Quantification was precise (0.96 < r> 0.83) and accurate (0.92 < ρ > 0.69) at moderately low to high visual WSB severity levels. Additional sensor-based methods must be explored to determine their potential for detection of WLB and WSB at earlier stages.
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Carson MC, Breslyn W, Carmany J, Cross S, Farrington WH, Hahn A, Jaworski J, Lansdon P, Li M, Pearson D, Polli R, Shepherd E, Singh D, Sundlof S, Tieso T, Wagner R, Wentworth J, Wilson B. Simultaneous Determination of Multiple Tetracycline Residues in Milk by Metal Chelate Affinity Chromatography: Collaborative Study. J AOAC Int 2020. [DOI: 10.1093/jaoac/79.1.29] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Abstract
To meet federal and state regulatory needs, a liquid chromatographic (LC) method with ultraviolet (UV) detection was developed for determination of 7 tetracyclines at 30 ng/mL in milk. Raw milk samples are defatted, acidified, and centrifuged to remove proteins, and tetracyclines are specifically absorbed from the milk by chelation with metal ions bound to small Chelating Sepharose Fast Flow columns. Tetracyclines are removed from these columns with EDTA-containing buffer, and extracts are further cleaned by ultrafiltration. Finally, extracts are concentrated and analyzed simultane ously by using on-line concentration. This method was validated in a collaborative study that involved 11 laboratories, including the authors’ laboratory. Each laboratory was asked to prepare and analyze known control and fortified milk samples, as well as 18 coded blind samples. Eight laboratories completed all analyses. Average interlaboratory recoveries for the known fortified samples ranged from 59% (methacycline at 15 ng/mL) to 78% (oxytetracy cline at 60 ng/mL). Average recovery for each of 7 residues at 30 ng/mL were between 60 and 110%, meeting single-residue guidelines for accuracy set by the U.S. Food and Drug Administration. Reproducibility relative standard deviation (RSDR) for the known fortified samples varied from 11 to 39%, with 6 of 7 residues at the 30 ng/mL level having RSDR values at or below 20%. Seven of 8 laboratories correctly identified blind control milk samples and all 28 residues present in blind samples. The metal chelate affinity—LC method for determination of multiple tetracycline residues in milk has been adopted first action by AOAC INTERNATIONAL.
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Singh D, Bhadoria DP, Thandi P. Case Report of a Rare Case of Juvenile Dermatomyositis Sine Dermatitis. THE JOURNAL OF THE ASSOCIATION OF PHYSICIANS OF INDIA 2020; 68:72. [PMID: 31979712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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Singh D, Sajilesh KP, Marik S, Biswas PK, Hillier AD, Singh RP. Nodeless s-wave superconductivity in the [Formula: see text]-Mn structure type noncentrosymmetric superconductor TaOs: a [Formula: see text]SR study. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2020; 32:015602. [PMID: 31509816 DOI: 10.1088/1361-648x/ab43a4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Noncentrosymmetric superconductors can lead to a variety of exotic properties in the superconducting state such as line nodes, multigap behavior, and time-reversal symmetry breaking. In this paper, we report the properties of a new noncentrosymmetric superconductor TaOs, using muon spin relaxation and rotation measurements. It is shown using the zero-field muon experiment that TaOs preserve the time-reversal symmetry in the superconducting state. From the transverse field muon measurements, we extract the temperature dependence of [Formula: see text], which is proportional to the superfluid density. This data can be fit with a fully gapped s-wave model for [Formula: see text] = 2.01 [Formula: see text] 0.02. Furthermore, the value of magnetic penetration depth is found to be 5919 [Formula: see text] 45 [Formula: see text], which is consistent with the value obtained from the bulk measurements.
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Ferreira D, Ng R, Lai E, Collins N, Thompson-Bowe K, Kehr J, Singh D. 668 Kawasaki Disease in the Australian Population: The John Hunter Hospital Experience. Heart Lung Circ 2020. [DOI: 10.1016/j.hlc.2020.09.675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Thiex NJ, Larson R, Ahmed MS, Albert K, Babin Y, Campbell H, Campbell M, DeAtley A, Eigen S, Elson K, Farrow M, Firman M, Jamieson J, Jobin D, Kibbey J, Kirby P, Larson R, Marshall D, Mathis J, McManus K, Menefee L, Olson L, Panagiotis S, Raines J, Rowe D, Sabbatini JZ, Singh D, Smith C, Stenske MA, van Rhijn H, Williams SM. Determination of Oxytetracycline/Oxytetracycline Hydrochloride in Animal Feed, Fish Feed, and Veterinary Medicinal Products by Liquid Chromatography with Fluorescence Detection: Collaborative Study. J AOAC Int 2019. [DOI: 10.1093/jaoac/92.1.2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
A method for determining oxytetracycline (OTC) in animal feed, fish feed, and veterinary medicinal products at medicated use and contamination levels was collaboratively studied. The method is applicable to the analysis of animal feeds and mineral premixes containing levels 2 mg/kg, and fish feed containing levels 10 mg/kg. Oxytetracycline hydrochloride (OTC.HCl) is extracted from ground feed material in acidmethanol solution using mechanical agitation. After centrifugation for 5 min at 1230 g, an aliquot of the extract is diluted with water and/or acidmethanol so that the concentration of OTC.HCl is approximately the same as that in the working standard, and the solutions contain at least 50 water. Injectable veterinary medicinal materials (also called animal remedy materials) are diluted with water and/or extractant to reach the target concentration. The extracts are filtered and analyzed by reversed-phase liquid chromatography with fluorescence detection with excitation at 390 nm and emission at 512 nm. Twenty-eight test samples of medicated feeds, supplements, and drug premixes, including 4 test samples for trace-level analysis, were sent to 17 collaborators in Canada, The Netherlands, and the United States. Results were received from 11 laboratories. The RSDr values (within-laboratory repeatability) ranged from 1.26 to 9.21; RSDR values (among-laboratory reproducibility) ranged from 2.14 to 12.9, and HorRat values ranged from 0.54 to 3.02. It is recommended that this method be adopted AOAC Official First Action.
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Abbott BP, Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams C, Adhikari RX, Adya VB, Affeldt C, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Allen G, Allocca A, Aloy MA, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Angelova SV, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Ascenzi S, Ashton G, Aston SM, Astone P, Aubin F, Aufmuth P, AultONeal K, Austin C, Avendano V, Avila-Alvarez A, Babak S, Bacon P, Badaracco F, Bader MKM, Bae S, Baird J, Baker PT, Baldaccini F, Ballardin G, Ballmer SW, Bals A, Banagiri S, Barayoga JC, Barbieri C, Barclay SE, Barish BC, Barker D, Barkett K, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Bazzan M, Bécsy B, Bejger M, Belahcene I, Bell AS, Beniwal D, Benjamin MG, Berger BK, Bergmann G, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bidler J, Biggs E, Bilenko IA, Bilgili SA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bloemen S, Bobba F, Bode N, Boer M, Boetzel Y, Bogaert G, Bondu F, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose S, Bossilkov V, Bosveld J, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brighenti F, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cabero M, Cadonati L, Cagnoli G, Cahillane C, Calderón Bustillo J, Callister TA, Calloni E, Camp JB, Campbell WA, Cannon KC, Cao H, Cao J, Carapella G, Carbognani F, Caride S, Carney MF, Carullo G, Casanueva Diaz J, Casentini C, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi O, Chakravarti K, Chamberlin SJ, Chan M, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Cheeseboro BD, Chen HY, Chen X, Chen Y, Cheng HP, Cheong CK, Chia HY, Chiadini F, Chincarini A, Chiummo A, Cho G, Cho HS, Cho M, Christensen N, Chu Q, Chua S, Chung KW, Chung S, Ciani G, Cieślar M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark JA, Clearwater P, Cleva F, Coccia E, Cohadon PF, Cohen D, Colleoni M, Collette CG, Collins C, Colpi M, Cominsky LR, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Covas PB, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Cripe J, Croquette M, Crowder SG, Cullen TJ, Cumming A, Cunningham L, Cuoco E, Canton TD, Dálya G, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Dasgupta A, Da Silva Costa CF, Datrier LEH, Dattilo V, Dave I, Davier M, Davis D, Daw EJ, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Pozzo W, DeMarchi LM, Demos N, Dent T, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, de Varona O, Dhurandhar S, Díaz MC, Dietrich T, Di Fiore L, DiFronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, Donovan F, Dooley KL, Doravari S, Dorrington I, Downes TP, Drago M, Driggers JC, Du Z, Ducoin JG, Dupej P, Durante O, Dwyer SE, Easter PJ, Eddolls G, Edo TB, Effler A, Ehrens P, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Errico L, Essick RC, Estelles H, Estevez D, Etienne ZB, Etzel T, Evans M, Evans TM, Fafone V, Fairhurst S, Fan X, Farinon S, Farr B, Farr WM, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Fee C, Feicht J, Fejer MM, Feng F, Fernandez-Galiana A, Ferrante I, Ferreira EC, Ferreira TA, Fidecaro F, Fiori I, Fiorucci D, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fitz-Axen M, Fiumara V, Flaminio R, Fletcher M, Floden E, Flynn E, Fong H, Font JA, Forsyth PWF, Fournier JD, Vivanco FH, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fritschel P, Frolov VV, Fronzè G, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gammaitoni L, Gaonkar SG, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gaur G, Gayathri V, Gemme G, Genin E, Gennai A, George D, George J, Gergely L, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Giacomazzo B, Giaime JA, Giardina KD, Gibson DR, Gill K, Glover L, Gniesmer J, Godwin P, Goetz E, Goetz R, Goncharov B, González G, Gonzalez Castro JM, Gopakumar A, Gossan SE, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson EM, Grimaldi A, Grimm SJ, Groot P, Grote H, Grunewald S, Gruning P, Guidi GM, Gulati HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Haegel L, Halim O, Hall BR, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hasskew RK, Haster CJ, Haughian K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heitmann H, Hellman F, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heurs M, Hild S, Hinderer T, Hochheim S, Hofman D, Holgado AM, Holland NA, Holt K, Holz DE, Hopkins P, Horst C, Hough J, Howell EJ, Hoy CG, Huang Y, Hübner MT, Huerta EA, Huet D, Hughey B, Hui V, Husa S, Huttner SH, Huynh-Dinh T, Idzkowski B, Iess A, Inchauspe H, Ingram C, Inta R, Intini G, Irwin B, Isa HN, Isac JM, Isi M, Iyer BR, Jacqmin T, Jadhav SJ, Jani K, Janthalur NN, Jaranowski P, Jariwala D, Jenkins AC, Jiang J, Johnson DS, Jones AW, Jones DI, Jones JD, Jones R, Jonker RJG, Ju L, Junker J, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kapadia SJ, Karki S, Kashyap R, Kasprzack M, Katsanevas S, Katsavounidis E, Katzman W, Kaufer S, Kawabe K, Keerthana NV, Kéfélian F, Keitel D, Kennedy R, Key JS, Khalili FY, Khan I, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim W, Kim WS, Kim YM, Kimball C, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klika JH, Klimenko S, Knowles TD, Koch P, Koehlenbeck SM, Koekoek G, Koley S, Kondrashov V, Kontos A, Koper N, Korobko M, Korth WZ, Kovalam M, Kozak DB, Krämer C, Kringel V, Krishnendu N, Królak A, Krupinski N, Kuehn G, Kumar A, Kumar P, Kumar R, Kumar R, Kuo L, Kutynia A, Kwang S, Lackey BD, Laghi D, Lai KH, Lam TL, Landry M, Lane BB, Lang RN, Lange J, Lantz B, Lanza RK, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee CH, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lehmann J, Lenon AK, Leroy N, Letendre N, Levin Y, Li A, Li J, Li KJL, Li TGF, Li X, Lin F, Linde F, Linker SD, Littenberg TB, Liu J, Liu X, Llorens-Monteagudo M, Lo RKL, London LT, Longo A, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lower ME, Lück H, Lumaca D, Lundgren AP, Lynch R, Ma Y, Macas R, Macfoy S, MacInnis M, Macleod DM, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magee RM, Majorana E, Maksimovic I, Malik A, Man N, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez V, Martynov DV, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Matichard F, Matone L, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Meadors GD, Mehmet M, Mehta AK, Meidam J, Mejuto Villa E, Melatos A, Mendell G, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merzougui M, Meshkov S, Messenger C, Messick C, Messina F, Metzdorff R, Meyers PM, Meylahn F, Miani A, Miao H, Michel C, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mishkin A, Mishra C, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moffa D, Mogushi K, Mohapatra SRP, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Muratore M, Murray PG, Nardecchia I, Naticchioni L, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Nevin L, Ng KY, Ng S, Nguyen C, Nguyen P, Nichols D, Nichols SA, Nissanke S, Nocera F, North C, Nuttall LK, Obergaulinger M, Oberling J, O'Brien BD, Oganesyan G, Ogin GH, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Oliver M, Oppermann P, Oram RJ, O'Reilly B, Ormiston RG, Ortega LF, O'Shaughnessy R, Ossokine S, Ottaway DJ, Overmier H, Owen BJ, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Parida A, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patil M, Patricelli B, Payne E, Pearlstone BL, Pechsiri TC, Pedersen AJ, Pedraza M, Pedurand R, Pele A, Penn S, Perego A, Perez CJ, Périgois C, Perreca A, Petermann J, Pfeiffer HP, Phelps M, Phukon KS, Piccinni OJ, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pirello M, Pitkin M, Plastino W, Poggiani R, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Prajapati AK, Prasad J, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Punturo M, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Raja S, Rajan C, Rajbhandari B, Rakhmanov M, Ramirez KE, Ramos-Buades A, Rana J, Rao K, Rapagnani P, Raymond V, Razzano M, Read J, Regimbau T, Rei L, Reid S, Reitze DH, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romie JH, Rose CA, Rose D, Rose K, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rüdiger A, Ruggi P, Rutins G, Ryan K, Sachdev S, Sadecki T, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Samajdar A, Sammut L, Sanchez EJ, Sanchez LE, Sanchis-Gual N, Sanders JR, Santiago KA, Santos E, Sarin N, Sassolas B, Sathyaprakash BS, Sauter O, Savage RL, Schale P, Scheel M, Scheuer J, Schmidt P, Schnabel R, Schofield RMS, Schönbeck A, Schreiber E, Schulte BW, Schutz BF, Scott J, Scott SM, Seidel E, Sellers D, Sengupta AS, Sennett N, Sentenac D, Sequino V, Sergeev A, Setyawati Y, Shaddock DA, Shaffer T, Shahriar MS, Shaner MB, Sharma A, Sharma P, Shawhan P, Shen H, Shink R, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Siellez K, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singhal A, Sintes AM, Sitmukhambetov S, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smith JR, Smith RJE, Somala S, Son EJ, Soni S, Sorazu B, Sorrentino F, Souradeep T, Sowell E, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Standke M, Steer DA, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stevenson SP, Stocks D, Stone R, Stops DJ, Strain KA, Stratta G, Strigin SE, Strunk A, Sturani R, Stuver AL, Sudhir V, Summerscales TZ, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Swinkels BL, Szczepańczyk MJ, Tacca M, Tait SC, Talbot C, Tanner DB, Tao D, Tápai M, Tapia A, Tasson JD, Taylor R, Tenorio R, Terkowski L, Thomas M, Thomas P, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tonelli M, Tornasi Z, Torres-Forné A, Torrie CI, Töyrä D, Travasso F, Traylor G, Tringali MC, Tripathee A, Trovato A, Trozzo L, Tsang KW, Tse M, Tso R, Tsukada L, Tsuna D, Tsutsui T, Tuyenbayev D, Ueno K, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, Valentini M, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, VanHeijningen JV, van Veggel AA, Vardaro M, Varma V, Vass S, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venugopalan G, Verkindt D, Vetrano F, Viceré A, Viets AD, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walet R, Walker M, Wallace L, Walsh S, Wang H, Wang JZ, Wang S, Wang WH, Wang YF, Ward RL, Warden ZA, Warner J, Was M, Watchi J, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Wellmann F, Wen L, Wessel EK, Weßels P, Westhouse JW, Wette K, Whelan JT, Whiting BF, Whittle C, Wilken DM, Williams D, Williamson AR, Willis JL, Willke B, Winkler W, Wipf CC, Wittel H, Woan G, Woehler J, Wofford JK, Wright JL, Wu DS, Wysocki DM, Xiao S, Xu R, Yamamoto H, Yancey CC, Yang L, Yang Y, Yang Z, Yap MJ, Yazback M, Yeeles DW, Yu H, Yu H, Yuen SHR, Zadrożny AK, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhao C, Zhao G, Zhou M, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Shandera S. Search for Subsolar Mass Ultracompact Binaries in Advanced LIGO's Second Observing Run. PHYSICAL REVIEW LETTERS 2019; 123:161102. [PMID: 31702344 DOI: 10.1103/physrevlett.123.161102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Indexed: 06/10/2023]
Abstract
We present a search for subsolar mass ultracompact objects in data obtained during Advanced LIGO's second observing run. In contrast to a previous search of Advanced LIGO data from the first observing run, this search includes the effects of component spin on the gravitational waveform. We identify no viable gravitational-wave candidates consistent with subsolar mass ultracompact binaries with at least one component between 0.2 M_{⊙}-1.0 M_{⊙}. We use the null result to constrain the binary merger rate of (0.2 M_{⊙}, 0.2 M_{⊙}) binaries to be less than 3.7×10^{5} Gpc^{-3} yr^{-1} and the binary merger rate of (1.0 M_{⊙}, 1.0 M_{⊙}) binaries to be less than 5.2×10^{3} Gpc^{-3} yr^{-1}. Subsolar mass ultracompact objects are not expected to form via known stellar evolution channels, though it has been suggested that primordial density fluctuations or particle dark matter with cooling mechanisms and/or nuclear interactions could form black holes with subsolar masses. Assuming a particular primordial black hole (PBH) formation model, we constrain a population of merging 0.2 M_{⊙} black holes to account for less than 16% of the dark matter density and a population of merging 1.0 M_{⊙} black holes to account for less than 2% of the dark matter density. We discuss how constraints on the merger rate and dark matter fraction may be extended to arbitrary black hole population models that predict subsolar mass binaries.
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