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5. Prevalence of Low Level of Vitamin D Among COVID-19 Patients and Associated Risk Factors in India – A Hospital-Based Study

Author

Singh S, Nimavat N, Kumar Singh A, Ahmad S, and Sinha N

Subjects
vitamin d, covid-19, sars-cov-2, low level of vitamin d, Medicine (General), R5-920
Abstract

Shruti Singh,1 Nirav Nimavat,2 Amarjeet Kumar Singh,3 Shamshad Ahmad,4 Nishi Sinha2 1Department of Pharmacology, AIIMS, Patna, Bihar, India; 2Department of Community Medicine, SBKS MIRC, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat, India; 3Department of Anaesthesia, AIIMS, Patna, Bihar, India; 4Department of Community and Family Medicine, AIIMS, Patna, Bihar, IndiaCorrespondence: Nirav NimavatDepartment of Community Medicine, SBKS MIRC, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat, IndiaEmail nkniraj1529@gmail.comBackground: The world is facing the most challenging pandemic in the 21st century. The developed and developing countries are facing the burden equally and no proven treatment options available. Recent studies suggest the plausibility of vitamin D therapy and prophylaxis for COVID-19, in the setting where the deficiency is more prevalent. Though evaluation of vitamin D status is not a routine in India, the present study focuses on the level of Vitamin d among COVID-19 patients.Methods: The study was a hospital-based cross-sectional to find the status of vitamin D among COVID-19 patients in a tertiary care hospital, Patna, Bihar, India. The demographic, comorbidity data were taken, and the level of vitamin D was measured by a chemiluminescence-based immunoassay analyzer. The analysis compared the level of deficiency and insufficiency among different groups of COVID-19 patients. The role of DM and HTN as risk factors for mortality was compared.Results: Among the total study participants (156), 42.31% were obese and 17.31% were severe as per clinical severity. The total prevalence of vitamin D deficiency was 58.97% and insufficiency was 89.1%. The prevalence was found high among male (61.02%), overweight (65.52%), and severe (62.96%) patients. The severity increases with advanced age (p< 0.05) and important risk factors for mortality are DM, HTN, and advanced age.Conclusion: The level of vitamin D can be assessed for the prognosis of COIVD-19 patients and help to modify the treatment protocol. Appropriate therapeutic/preventive intervention of vitamin D can alter the course and severity of COVID-19.Keywords: Vitamin D, COVID-19, SARS-CoV-2, low level of Vitamin D

Published
2021

20. Role of dyslipidaemia and lipid peroxidation in pregnancy induced hypertension

Author

Saxena S, Thimmaraju KV, Srivastava PC, Mallick AK, Das B, Sinha N, and Dalmia K

Subjects
Pregnancy Induced Hypertension, Eclampsia, Dyslipidaemia, Malondialdehyde, Medicine
Abstract

Background: Pregnancy induced hypertension (PIH) contributes greatly to maternal morbidity and mortality. Altered lipid profile and increased lipid peroxidation activate endothelial dysfunction and atherothrombosis leading to PIH. Therefore, estimation of lipid profile with serum malondialdehyde (MDA) in pregnancy may be helpful in predicting the development of PIH and further progression. Material and methods: In this prospective case-control study, serum lipid profile and MDA were estimated in 70 PIH subjects with gestational hypertension, pre-eclampsia, eclampsia; and 70 normotensive pregnant women aged 18 - 40 years, with gestational age of over 20 weeks. Results: A statistically significant higher serum total cholesterol, very low density lipoprotein cholesterol (VLDL-C), low density lipoprotein cholesterol (LDL-C), triglycerides (TG), TC/HDL-C, LDL-C/HDL-C and MDA, and a significantly lower HDL-C was noted in PIH subjects as compared to control subjects. When compared with the severity of PIH, all the lipoproteins (except HDL-C) along with MDA were found to be higher in women with eclampsia when compared with gestational hypertension, pre-eclampsia and normotensive pregnant women. Conclusions: An abnormal lipid metabolism along with oxidative stress may add to the promotion of vascular dysfunction leading to PIH. Lipoproteins and MDA alter significantly in eclampsia. Therefore, during pregnancy, early diagnosis and management of dyslipidaemia may prevent lipid peroxidation and progression of PIH thereby preventing obstetric complications.

Published
2015
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26. Concise Review on Lignocellulolytic Microbial Consortia for Lignocellulosic Waste Biomass Utilization: A Way Forward?

Author

Das, S., Rudra, S., Khatun, I., Sinha, N., Sen, M., and Ghosh, D.

Subjects
WASTE recycling, LIGNOCELLULOSE, SUCCINIC acid, CARBOXYLIC acids, SCIENTIFIC community
Abstract

Lignocellulose biomass (LCB) is a plant waste material that is generated throughout the globe in massive amounts every year and may act as an alternative source of carbon for the generation of various types of value-added products, including biofuels and carboxylic acids (e.g., formic, acetic, and succinic acid). Hence its importance to the scientific community is increasing day by day. However, LCB conversion requires diverse treatment processes, including physical, chemical, and physicochemical processes, which are not economically viable and not sustainable. Hence, the microbiological systems capable of producing desired biocatalysts for generating desired products are being developed. At present, increasing population requires higher amounts of these value-added products, so enhanced efficiency of these processes are essential. As a result, the application of multi-component microbial systems, especially consortium systems, rather than monoculture systems, is prioritized for the amelioration of LCB waste conversion and formation of value-added products. The present review aims to critically analyze the different strategies used by microbial consortia to generate value-added products and discuss the future prospects of this field for the upcoming research. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Simulated Thick, Fully-Depleted CCD Exposures Analyzed with Deep Learning Techniques

Author

Britt, C., Church, E., Hossbach, T., Loer, B., Saldanha, R., Sinha, N., and Woodruff, K.

Subjects
Physics - Instrumentation and Detectors, FOS: Physical sciences, Instrumentation and Detectors (physics.ins-det), Nuclear Experiment (nucl-ex), Nuclear Experiment
Abstract

Thick, Charge Coupled Devices (CCDs) have recently been explored for applied physics, such as nuclear explosion monitoring, and dark matter detection purposes. When run in fully-depleted mode, these devices are sensitive detectors for energy depositions by a variety of primary particles. In this study we are interested in applying the Deep Learning (DL) technique known as panoptic segmentation to simulated CCD images to identify, attribute and measure energy depositions from radioisotopes of interest. We simulate CCD exposures of a chosen radioxenon isotope, $^{135}$Xe, and overlay a simulated cosmic muon background appropriate for a surface-lab. We show that with this DL technique we can reproduce the beta spectrum to good accuracy, while suffering expected confusion with same-topology gammas and conversion electrons and identifying cosmic muons less than optimally.

Published
2022

32. The Large Hadron–Electron Collider at the HL-LHC

Author

Agostini, P., Aksakal, H., Apolinario, L., Goyal, A., Grames, J., Granados, E., Grassellino, A., Gunaydin, Y. O., Guo, Y. C., Guzey, V., Gwenlan, C., Hammad, A., Han, C. C., Apsimon, R., Harland-Lang, L., Haug, F., Hautmann, F., Hayden, D., Hessler, J., Helenius, I., Henry, J., Hernandez-Sanchez, J., Hesari, H., Hobbs, T. J., Apyan, A., Hod, N., Hoffstaetter, G. H., Holzer, B., Honorato, C. G., Hounsell, B., Hu, N., Hug, F., Huss, A., Hutton, A., Islam, R., Arduini, G., Iwamoto, S., Jana, S., Jansova, M., Jensen, E., Jones, T., Jowett, J. M., Kaabi, W., Kado, M., Kalinin, D. A., Karadeniz, H., Ari, V., Kawaguchi, S., Kaya, U., Khalek, R. A., Khanpour, H., Kilic, A., Klein, M., Klein, U., Kluth, S., Köksal, M., Kocak, F., Armbruster, A., Korostelev, M., Kostka, P., Krelina, M., Kretzschmar, J., Kuday, S., Kulipanov, G., Kumar, M., Kuze, M., Lappi, T., Larios, F., Armesto, N., Latina, A., Laycock, P., Lei, G., Levitchev, E., Levonian, Serguei V., Levy, A., Li, R., Li, X., Liang, H., Litvinenko, V., Auchmann, B., Liu, M., Liu, T., Liu, W., Liu, Y., Liuti, S., Lobodzinska, Ewelina, Longuevergne, D., Luo, X., Ma, W., Machado, M., Aulenbacher, K., Mandal, S., Mäntysaari, H., Marhauser, F., Marquet, C., Martens, A., Martin, R., Marzani, S., McFayden, J., Mcintosh, P., Mellado, B., Azuelos, G., Meot, F., Milanese, A., Milhano, J. G., Militsyn, B., Mitra, M., Moch, S., Mohammadi Najafabadi, M., Mondal, S., Moretti, S., Morgan, T., Alan, H., Backovic, S., Morreale, A., Nadolsky, P., Navarra, F., Nergiz, Z., Newman, P., Niehues, J., Nissen, E. A., Nowakowski, M., Okada, N., Olivier, G., Bailey, I., Olness, F., Olry, G., Osborne, J. A., Ozansoy, A., Pan, R., Parker, B., Patra, M., Paukkunen, H., Peinaud, Y., Pellegrini, D., Bailey, S., Perez-Segurana, G., Perini, D., Perrot, L., Pietralla, N., Pilicer, E., Pire, B., Pires, J., Placakyte, R., Poelker, M., Polifka, R., Balli, F., Polini, A., Poulose, P., Pownall, G., Pupkov, Y. A., Queiroz, F. S., Rabbertz, K., Radescu, V., Rahaman, R., Rai, S. K., Raicevic, N., Behera, S., Ratoff, P., Rashed, A., Raut, D., Raychaudhuri, S., Repond, J., Rezaeian, A. H., Rimmer, R., Rinolfi, L., Rojo, J., Rosado, A., Behnke, O., Ruan, X., Russenschuck, S., Sahin, M., Salgado, C. A., Sampayo, O. A., Satendra, K., Satyanarayan, N., Schenke, B., Schirm, K., Schopper, H., Ben-Zvi, I., Schott, M., Schulte, D., Schwanenberger, C., Sekine, T., Senol, A., Seryi, A., Setiniyaz, S., Shang, L., Shen, X., Shipman, N., Benedikt, M., Sinha, N., Slominski, W., Smith, S., Solans, C., Song, M., Spiesberger, H., Stanyard, J., Starostenko, A., Stasto, A., Stocchi, A., Bernauer, J., Strikman, M., Stuart, M. J., Sultansoy, S., Sun, H., Sutton, M., Szymanowski, L., Tapan, I., Tapia-Takaki, D., Tanaka, M., Tang, Y., Bertolucci, S., Tasci, A. T., Ten-Kate, A. T., Thonet, P., Tomas-Garcia, R., Tommasini, D., Trbojevic, D., Trott, M., Tsurin, I., Tudora, A., Turk Cakir, I., Alekhin, S., Biswal, S. S., Tywoniuk, K., Vallerand, C., Valloni, A., Verney, D., Vilella, E., Walker, D., Wallon, S., Wang, B., Wang, K., Blümlein, Johannes, Wang, X., Wang, Z. S., Wei, H., Welsch, C., Willering, G., Williams, P. H., Wollmann, D., Xiaohao, C., Xu, T., Yaguna, C. E., Bogacz, A., Yamaguchi, Y., Yamazaki, Y., Yang, H., Yilmaz, A., Yock, P., Yue, C. X., Zadeh, S. G., Zenaiev, O., Zhang, C., Zhang, J., Bonvini, M., Zhang, R., Zhang, Z., Zhu, G., Zhu, S., Zimmermann, F., Zomer, F., Zurita, J., Zurita, P., LHeC Collaboration, Group, FCC-he Study, Boonekamp, M., Bordry, F., Boroun, G. R., Bottura, L., Bousson, S., Bouzas, A. O., Allport, P. P., Bracco, C., Bracinik, J., Britzger, D., Brodsky, S. J., Bruni, C., Brüning, O., Burkhardt, H., Cakir, O., Calaga, R., Caldwell, A., Andari, N., Calıskan, A., Camarda, S., Catalan-Lasheras, N. C., Cassou, K., Cepila, J., Cetinkaya, V., Chetvertkova, V., Cole, B., Coleppa, B., Cooper-Sarkar, A., Andre, K. D. J., Cormier, E., Cornell, A. S., Corsini, R., Cruz-Alaniz, E., Currie, J., Curtin, D., D'Onofrio, M., Dainton, J., Daly, E., Das, A., Angal-Kalinin, D., Das, S. P., Dassa, L., de Blas, J., Delle Rose, L., Denizli, H., Deshpande, K. S., Douglas, D., Duarte, L., Dupraz, K., Dutta, S., Antusch, S., Efremov, A. V., Eichhorn, R., Eskola, K. J., Ferreiro, E. G., Fischer, O., Flores-Sánchez, O., Forte, S., Gaddi, A., Gao, J., Gehrmann, T., Aperio Bella, L., Gehrmann-De Ridder, A., Gerigk, F., Gilbert, A., Giuli, F., Glazov, Alexander, Glover, N., Godbole, R. M., Goddard, B., Gonçalves, V., Gonzalez-Sprinberg, G. A., Université Paris-Saclay, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Centre d'Etudes Lasers Intenses et Applications (CELIA), Université de Bordeaux (UB)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11), Université de Strasbourg (UNISTRA), Centre de Physique Théorique [Palaiseau] (CPHT), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), LHeC, FCC-he Study Group, Çetinkaya, Volkan, Çalışkan, Abdullatif, Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Bordeaux (UB), Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X), Agostini P, Aksakal H, Duarte Lucía, Universidad de la República (Uruguay). Facultad de Ciencias. Instituto de Física., Helsinki Institute of Physics, Particle Physics and Astrophysics, and Calıskan, Abdullatif

Subjects
energy recovery, lepton nucleus: scattering, parton: distribution function, hiukkasfysiikka, 7. Clean energy, 01 natural sciences, accelerator physics, High Energy Physics - Phenomenology (hep-ph), HEAVY FLAVOR CONTRIBUTIONS, energy-recovery- linac, Nuclear Experiment, colliding beams [electron p], deep-inelastic scattering, top and electroweak physics, new physics, Physics, STRUCTURE-FUNCTION RATIOS, Monte Carlo [numerical calculations], buildings, primary [vertex], High Energy Physics - Phenomenology, electron p: colliding beams, kinematics, Nuclear Physics - Theory, final state: hadronic, p: distribution function, beyond Standard Model, vertex: primary, numerical calculations: Monte Carlo, distribution function [parton], High-lumiLHC, STRUCTURE-FUNCTION F-2(X, [PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th], ion: beam, [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex], 114 Physical sciences, Nuclear Theory (nucl-th), deep inelastic scattering, quantum chromodynamics, ddc:530, 010306 general physics, high-lumi LHC, QCD, Higgs, nuclear physics, beyond standard Model, 010308 nuclear & particles physics, resolution, scattering [electron p], structure function [nucleus], sensitivity, beam [electron], energy-recovery-linac, acceptance, Nuclear Theory, HIGH-ENERGY FACTORIZATION, distribution function [p], density [parton], High-lumi LHC, High Energy Physics - Experiment, design [detector], High Energy Physics - Experiment (hep-ex), electron: linear accelerator, electron hadron: scattering, CERN LHC Coll: upgrade, [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], scattering [electron hadron], FCC, electron: beam, Nuclear Experiment (nucl-ex), linear accelerator [electron], lattice, superconductivity, Energy-recoverylinac, Beyond Standard Mode, Nuclear physics, electron nucleus: colliding beams, parton: density, colliding beams [electron nucleus], Particle Physics - Experiment, NUCLEON STRUCTURE FUNCTIONS, Nuclear and High Energy Physics, scattering [lepton nucleus], beam [ion], FOS: Physical sciences, nucleus: structure function, hadronic [final state], electron p: scattering, TRANSVERSE-MOMENTUM DEPENDENCE, 0103 physical sciences, Nuclear Physics - Experiment, structure, upgrade [CERN LHC Coll], detector: design, Particle Physics - Phenomenology, DEEP-INELASTIC-SCATTERING, electroweak interaction, 3-LOOP SPLITTING FUNCTIONS, CLASSICAL RADIATION ZEROS, calibration, Accelerators and Storage Rings, magnet, high [current], 13. Climate action, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], LHeC, Physics::Accelerator Physics, JET CROSS-SECTIONS, High Energy Physics::Experiment, current: high
Abstract

The Large Hadron-Electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy-recovery technology, it collides a novel, intense electron beam with a proton or ion beam from the High-Luminosity Large Hadron Collider (HL-LHC). The accelerator and interaction region are designed for concurrent electron-proton and proton-proton operations. This report represents an update to the LHeC's conceptual design report (CDR), published in 2012. It comprises new results on the parton structure of the proton and heavier nuclei, QCD dynamics, and electroweak and top-quark physics. It is shown how the LHeC will open a new chapter of nuclear particle physics by extending the accessible kinematic range of lepton-nucleus scattering by several orders of magnitude. Due to its enhanced luminosity and large energy and the cleanliness of the final hadronic states, the LHeC has a strong Higgs physics programme and its own discovery potential for new physics. Building on the 2012 CDR, this report contains a detailed updated design for the energy-recovery electron linac (ERL), including a new lattice, magnet and superconducting radio-frequency technology, and further components. Challenges of energy recovery are described, and the lower-energy, high-current, three-turn ERL facility, PERLE at Orsay, is presented, which uses the LHeC characteristics serving as a development facility for the design and operation of the LHeC. An updated detector design is presented corresponding to the acceptance, resolution, and calibration goals that arise from the Higgs and parton-density-function physics programmes. This paper also presents novel results for the Future Circular Collider in electron-hadron (FCC-eh) mode, which utilises the same ERL technology to further extend the reach of DIS to even higher centre-of-mass energies., Journal of Physics G: Nuclear and Particle Physics, 48 (11), ISSN:0305-4616, ISSN:0954-3899, ISSN:1361-6471, ISSN:0954-3889

Published
2021
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36. COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

Author

Yamada, Y, Ćepulić, D-B, Coll-Martín, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, TP, Travaglino, GA, Lieberoth, A, Blackburn, AM, Boullu, L, Bujić, M, Byrne, G, Caniëls, MCJ, Flis, I, Kowal, M, Rachev, NR, Reynoso-Alcántara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, JC, Aruta, JJBR, Bamwesigye, D, Bavolar, J, Bender, AR, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Čeněk, J, Ch’ng, B, Chen, F-Y, Chrona, S, Contreras-Ibáñez, CC, Correa, PS, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Díaz, C, Dilekler, İ, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpí, R, González, RF, Griffin, A, Hakim, MA, Hanusz, K, Ho, YW, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, MN, Jeftic, A, Jha, S, Juárez, FP-G, Kacmar, P, Kalinova, K, Kavanagh, PS, Kosa, M, Koszałkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, AG, De Leon, GA, Lin, S-Y, Lins, S, López, CRC, Lys, AE, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, TA, Martinez, L, Meshi, D, Mola, DJ, Morales-Izquierdo, S, Musliu, A, Naidu, PA, Najmussaqib, A, Natividade, JC, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, MV, Ozery, DH, Pankowski, D, Pennato, T, Pírko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, AM, Sayılan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stöckli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, MK, Uzelac, E, Vestergren, SK, Vilar, R, Wang, AH-E, West, JN, Wu, CKS, Yaneva, T, Yeh, Y-Y, Dranseika, Vilius, „Springer' grupė, Department of Organisation, RS-Research Line Learning (part of LIRS program), University of Helsinki, Helsinki Hub on Emotions, Populism and Polarisation, Helsinki Inequality Initiative (INEQ), Social Psychologists Studying Intergroup Relations (ESSO), Swedish School of Social Science Subunit, Social Psychology, Faculty of Sciences and Bioengineering Sciences, Sociology, Faculty of Economic and Social Sciences and Solvay Business School, Faculdade de Psicologia e de Ciências da Educação, Yamada, Yuki [0000-0003-1431-568X], Ćepulić, Dominik-Borna [0000-0003-0975-9323], Gautreau, Guillaume [0000-0002-0970-9361], Han, Hyemin [0000-0001-7181-2565], Rasmussen, Jesper [0000-0002-0248-7065], Tran, Thao P [0000-0002-4038-8471], Apollo - University of Cambridge Repository, Tran, Thao P. [0000-0002-4038-8471], Čeněk, Jiří [0000-0002-2543-5532], Ikizer, Gozde [0000-0003-3567-5991], Lacko, David [0000-0002-2904-8118], Mari, Silvia [0000-0001-6543-5249], Natividade, Jean C. [0000-0002-3264-9352], Ninaus, Manuel [0000-0002-4664-8430], Noreika, Valdas [0000-0003-0492-6954], Pummerer, Lotte [0000-0002-4859-6849], Sikka, Pilleriin [0000-0002-1926-6138], Tag, Benjamin [0000-0002-7831-2632], Tuominen, Jarno [0000-0002-3892-3199], Yeh, Yao-Yuan [0000-0001-9160-1239], Yamada, Y, Cepulic, D, Coll-Martin, T, Debove, S, Gautreau, G, Han, H, Rasmussen, J, Tran, T, Travaglino, G, Blackburn, A, Boullu, L, Bujic, M, Byrne, G, Caniels, M, Flis, I, Kowal, M, Rachev, N, Reynoso-Alcantara, V, Zerhouni, O, Ahmed, O, Amin, R, Aquino, S, Areias, J, Aruta, J, Bamwesigye, D, Bavolar, J, Bender, A, Bhandari, P, Bircan, T, Cakal, H, Capelos, T, Cenek, J, Ch'Ng, B, Chen, F, Chrona, S, Contreras-Ibanez, C, Correa, P, Cristofori, I, Cyrus-Lai, W, Delgado-Garcia, G, Deschrijver, E, Diaz, C, Dilekler, I, Dranseika, V, Dubrov, D, Eichel, K, Ermagan-Caglar, E, Gelpi, R, Gonzalez, R, Griffin, A, Hakim, M, Hanusz, K, Ho, Y, Hristova, D, Hubena, B, Ihaya, K, Ikizer, G, Islam, M, Jeftic, A, Jha, S, Juarez, F, Kacmar, P, Kalinova, K, Kavanagh, P, Kosa, M, Koszalkowska, K, Kumaga, R, Lacko, D, Lee, Y, Lentoor, A, De Leon, G, Lin, S, Lins, S, Lopez, C, Lys, A, Mahlungulu, S, Makaveeva, T, Mamede, S, Mari, S, Marot, T, Martinez, L, Meshi, D, Mola, D, Morales-Izquierdo, S, Musliu, A, Naidu, P, Najmussaqib, A, Natividade, J, Nebel, S, Nezkusilova, J, Nikolova, I, Ninaus, M, Noreika, V, Ortiz, M, Ozery, D, Pankowski, D, Pennato, T, Pirko, M, Pummerer, L, Reyna, C, Romano, E, Sahin, H, Sanli, A, Sayilan, G, Scarpaci, A, Sechi, C, Shani, M, Shata, A, Sikka, P, Sinha, N, Stockli, S, Studzinska, A, Sungailaite, E, Szebeni, Z, Tag, B, Taranu, M, Tisocco, F, Tuominen, J, Turk, F, Uddin, M, Uzelac, E, Vestergren, S, Vilar, R, Wang, A, West, J, Wu, C, Yaneva, T, Yeh, Y, and Lieberoth, A

Subjects
Data Descriptor, STRESS, IMPACT, Applied psychology, Health Behavior, RC475, Anxiety, Global survey, Surveys, RC435, QUARANTINE, 0302 clinical medicine, 706/689/477, Psychology, dataset, 030212 general & internal medicine, Big Five personality traits, SCALE, purl.org/becyt/ford/5.1 [https], media_common, purl.org/becyt/ford/5 [https], Stress, Psychological/epidemiology, 030503 health policy & services, 05 social sciences, Public Health, Global Health, Social Medicine and Epidemiology, Computer Science Applications, Multidisciplinary Sciences, COMMUNITY, COVID-19, COVIDiSTRESS Global Survey, 5144 Social psychology, COVID-19 impacts, Economic interventionism, Scale (social sciences), Government, H1, Science & Technology - Other Topics, Emotional, Statistics, Probability and Uncertainty, data-descriptor, 0305 other medical science, Human, Information Systems, Personality, Statistics and Probability, Cross-Cultural Comparison, 515 Psychology, media_common.quotation_subject, Science, Behavioural consequences, BF, global survey, Library and Information Sciences, psychology, Trust, 050105 experimental psychology, Compliance (psychology), Education, Social support, 03 medical and health sciences, 631/477/2811, COVID, stres, otvoreni podaci, Human behaviour, Humans, 0501 psychology and cognitive sciences, Pandemics, Consequences, SARS, Psykologi, Science & Technology, Pandemic, Distress, Covid 19, CARE, Cross-cultural studies, Psychological measurement, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, PsyArXiv|Social and Behavioral Sciences, Communicable Disease Control, bepress|Social and Behavioral Sciences, COVID-19/psychology, psychological and behavioural consequences, SOCIAL SUPPORT, 030217 neurology & neurosurgery, Stress, Psychological
Abstract

This N=173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science efort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available., Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (KAKENHI) JP17H00875 JP18K12015 JP20H04581 JP20K14222, Grant Agency of the Czech Republic GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (CONACyT) CVU: 613905, FWO, HSE University Basic Research Program

Published
2021
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44. Multifrequency pierce oscillators based on piezoelectric AlN contour-mode MEMS technology

Author

Chengjie Zuo, Sinha, N., Van der Spiegel, J., and Piazza, G.

Subjects
Aluminum nitride -- Mechanical properties, Aluminum nitride -- Electric properties, Aluminum nitride -- Acoustic properties, Microelectromechanical systems -- Design and construction, Oscillators (Electronics) -- Design and construction, Piezoelectric ceramics -- Usage, Acoustic surface waves -- Analysis, Engineering and manufacturing industries, Science and technology
Published
2010

47. Working group report: Neutrino physics

Author

Choubey, Sandhya, Indumathi, D., Agarwalla, S., Bandyopadhyay, A., Bhattacharyya, G., Chun, E. J., Dasgupta, B., Dighe, A., Ghoshal, P., Giri, A. K., Goswami, S., Hirsch, M., Kajita, T., Kaplinghat, M., Mani, H. S., Mohanta, R., Murthy, M. V. N., Pakvasa, S., Parida, M. K., Rajasekaran, G., Ray, S., Rodejohann, W., Roy, P., Uma Sankar, S., Schwetz, T., and Sinha, N.

Published
2009
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48. The Usefulness of CT Perfusion in Differentiation between Neoplastic and Tuberculous Disease of the Spine

Author

Shankar, J., Jayakumar, P., Vasudev, M., Ravishankar, S., and Sinha, N.

Subjects
Tuberculosis -- Analysis, Diagnostic imaging -- Analysis, Lymphomas -- Analysis, Antimitotic agents -- Analysis, Antineoplastic agents -- Analysis, CT imaging -- Analysis, Health
Abstract

To authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1552-6569.2008.00265.x Byline: J. Shankar (1), P. Jayakumar (1), M. Vasudev (1), S. Ravishankar (1), N. Sinha (1) Keywords: CT Perfusion; Spine; Tuberculosis; Neoplastic disease; Vertebral body Abstract: ABSTRACT INTRODUCTION Routine diagnostic techniques are not sufficient to confidently differentiate diseases of the axial skeleton. Purpose of study was to determine whether CT perfusion (CTP) can differentiate inflammatory diseases like tuberculosis from neoplastic diseases of spine. METHODS Fifty-one patients with vertebrdraft%freshal body lesions associated with paraspinal mass underwent CT guided bone biopsy and histopathological evaluation. CTP was done before doing bone biopsy. Perfusion parameters like blood volume (BV), blood flow (BF), and time to peak (TTP) were calculated. Values are correlated with histopathological report of bone biopsy. Statistical analysis was done using Mann-Whitney test. P value < .05 was considered significant. RESULTS Of 51, 32 had infective osteomyelitis and 19 neoplastic disease (9 metastasis, 5 plasmacytoma, 4 lymphoma and 1 chordoma. Mean rBF was [inflammatory lesions, 1.79 and neoplastic lesions, 9.42 (P < .000)]. Mean rBV was [inflammatory disease, 1.63 and neoplastic lesions, 9.37 (P < .000)]. CONCLUSION CTP technique has potential for differentiating inflammatory from neoplastic lesions affecting spine associated with paraspinal mass noninvasively. Author Affiliation: (1)From the Department of Diagnostic Imaging-Neuroradiology Section, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada (JS); Department of Neuroimaging and Interventional Radiology, NIMHANS, Bangalore, India (PJ, MV, SR); Department of Pathology, IPGMER, Kolkata, India (NS). Article History: Acceptance: Received February 11, 2008. and in revised from February 11, 2008. Accepted for publication February 17, 2008. Article note: Correspondence: Address correspondence to J. Shankar 201A, 1109 Shillington Avenue, Ottawa, Ontario, Canada K1Z 7Z1. E-mail: shivajai1@rediffmail.com.

Published
2009

50. Working group report: Flavor physics and model building

Author

Parida, M K, Sinha, Nita, Adhikary, B, Allanach, B, Alok, A, Babu, K S, Brahmachari, B, Choudhury, D, Chun, E J, Das, P K, Ghosal, A, Hitlin, D, Hou, W S, Kumar, S, Li, H N, Ma, E, Majee, S K, Majumdar, G, Mishra, B, Mohanty, G, Nandi, S, Pas, H, Parida, M K, Rindani, S D, Saha, J P, Sahu, N, Sakai, Y, Sen, S, Sharma, C, Sharma, C D, Shalgar, S, Singh, N N, Sankar, S Uma, Sinha, N, Sinha, R, Simonetto, F, Srikanth, R, and Vaidya, R

Published
2006
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