109,054 results on '"[s.n.]"'
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2. Assessment of species migration patterns in forest ecosystems of Tamil Nadu, India, under changing climate scenarios
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A., Ramachandran, Manickavasagam, Mithilasri, S., Hariharan, M., Mathan, S.N., Ahamed Ibrahim, Kumar, Divya Subash, and Joseph, Kurian
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- 2024
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3. A DIALLEL CROSS-BASED ANALYSIS OF THE GENETIC BASIS OF POD QUALITY AND POD YIELD IN SNAP BEAN
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Njau, S.N., Arunga, E.E., and Otsyula, R.
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Agricultural research ,Plant breeding -- Genetic aspects ,Quantitative trait loci -- Properties ,Crop yields -- Genetic aspects ,Common beans -- Growth -- Genetic aspects ,Company growth ,Agricultural industry ,Food/cooking/nutrition ,Health - Abstract
Snap bean (Phaseolus vulgaris L.) is among the leading vegetables in Kenya that is mainly grown for export with the potential to increase household income. There are few programs in Kenya that focus on breeding new cultivars for increased production. The development of snap bean varieties that are resilient to the changing climate is crucial for sustainable agriculture in Kenya. To achieve this, knowledge of gene action, trait expression, and heritability is vital in effective breeding for quantitative traits like pod quality and yield. A study was conducted to investigate the inheritance of pod quality and yield traits in snap beans, which can inform the breeding of snap beans. A half diallel cross involving two indeterminate dry beans (G2333 and MCM 5001) and five determinate snap beans (Amy, Moonstone, Seagull, Serengeti and Vanilla) varieties was conducted. Data on pod traits (pod weight per plant, pod number per plant, pod length, pod diameter, pod wall fiber and pod suture string) were collected from 21 Fis and 7 parents grown in two locations (Embu and Kirinyaga Counties) in Kenya. The results showed significant genotypic and environmental effects (P < 0.001) for all traits, with significant genotype by environment (G x E) interactions for most traits. Additionally, general combining abilities (GCA) and specific combining abilities (SCA) were significant for all traits evaluated. The significance of GCA and SCA indicated the importance of both additive and non-additive gene effects in controlling the traits, although the additive gene effects were predominant. The study revealed that Vanilla and Serengeti had the highest GCA estimate for pod quality traits, while G2333 and MCM5001 had the highest GCA estimate for pod yield traits. Snap bean pod yield and quality are quantitative traits controlled by multiple genes and influenced by the environment. Therefore, the predominance of additive gene effects suggests that selection for these traits in segregating generations could yield satisfactory gains. The results of this study could impact the development of snap bean varieties that are more resilient to the effects of climate change. Thus, improving the sustainability and productivity of the agriculture sector in Kenya. Key words: Snap bean, GCA, SCA, gene action, heritability, combining ability, INTRODUCTION Agriculture is the cornerstone of most African economies, contributing as much as 55% to the continent's gross domestic product [1]. Agriculture serves as the foundation for food security in [...]
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- 2024
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4. The Platform trial In COVID-19 vaccine priming and BOOsting (PICOBOO) booster vaccination substudy protocol
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C, McLeod, M, Dymock, KL, Flanagan, M, Plebanski, H, Marshall, J, Marsh, MJ, Estcourt, J, Ramsay, U, Wadia, PCM, Williams, MC, Tjiam, C, Blyth, K, Subbarao, S, Nicholson, S.N., Faust, RB, Thornton, A, Mckenzie, T, Snelling, and P, Richmond
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- 2024
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5. Knowledge, attitude, and practice of breast self-examination is associated with general self-care and cultural factors: a study from Tamil Nadu, India
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Jadhav, Bhoomika N., Abdul Azeez, E.P., Mathew, Manoj, Senthil Kumar, A.P., Snegha, M.R., Yuvashree, G., and Mangalagowri, S.N.
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- 2024
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6. The Platform trial In COVID-19 vaccine priming and BOOsting (PICOBOO) booster vaccination substudy protocol
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McLeod C, Dymock M, Flanagan KL, Plebanski M, Marshall H, Marsh J, Estcourt MJ, Ramsay J, Wadia U, Williams PCM, Tjiam MC, Blyth C, Subbarao K, Nicholson S, Faust S.N., Thornton RB, Mckenzie A, Snelling T, and Richmond P
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COVID-19 ,Booster vaccination ,Vaccination ,Immunisation ,Adaptive platform trial ,Policy ,Medicine (General) ,R5-920 - Abstract
Abstract Background Coronavirus-2019 (COVID-19) vaccination in Australia commenced in February 2021. The first vaccines recommended for use were AZD1222 and BNT162b2, both delivered as a two-dose primary schedule. In the absence of sustained immunity following immunisation, recommendations for booster vaccination have followed. It is likely that periodic boosting will be necessary for at least some Australians, but it is unknown what the optimal booster vaccines and schedules are or for whom vaccination should be recommended. Methods The Platform Trial In COVID-19 priming and BOOsting (PICOBOO) is a multi-site, multi-arm, randomised, Bayesian adaptive platform trial evaluating different booster vaccine interventions in immunocompetent children and adults, stratified by their primary vaccination schedule and age. Participants are randomised to receive one of three licensed COVID-19 booster vaccines available for use in Australia. PICOBOO aims to generate evidence about the immunogenicity, reactogenicity, and cross-protection of different booster vaccine strategies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants/subvariants. The protocol structure specifying PICOBOO is modular and hierarchical. We have previously published the PICOBOO core (master) protocol. Here, we detail the substudy protocol which outlines the study processes which are specific to PICOBOO participants enrolled in the booster vaccination substudy. Discussion PICOBOO is an adaptive platform trial evaluating different COVID-19 booster vaccination strategies to generate evidence to inform immunisation practice and policy. The modular and flexible protocol structure is intended to enable investigators to respond with agility to new research questions as they arise, such as immunogenicity targeting emergent virus variants, and the immunogenicity and reactogenicity of new vaccines as they become available for use. Trial registration Australian and New Zealand Clinical Trials Register ACTRN12622000238774; registered on 10/02/2022. Protocol V8.0_23112023.
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- 2024
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7. Optimization of Ventilation Register Locations for Reducing Suspended Particle Concentration Using the Taguchi Method
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H. Sajjadi, S.N. Nabavi, G. Ahmadi, A. Amiri Delouei, and H. Naeimi
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optimization ,airborne particles ,mrt-lbm ,taguchi method ,Mechanics of engineering. Applied mechanics ,TA349-359 - Abstract
In the present study, the Multi-Relaxation Time Lattice Boltzmann method (MRT-LBM) was employed to solve the airflow inside a scaled room model with dimensions of 0.914×0.457×0.305 m. This room model is considered a representative space with a 1:10 scale to an actual room. The selected room is equipped with a ventilation system. For optimizing the inlet and outlet locations of the airflow, 32 different positions in terms of length, width, and height for the inlet and 4 positions for the outlet were considered. The Taguchi method was utilized for optimizing the inlet and outlet locations, reducing the required number of experiments from 128 to 16. To assess the number of suspended particles, 86400 particles with a size of 1µm were injected into the room. Then, the particle behaviors were examined for a total duration of 60 seconds. The obtained results indicate that the location of the air conditioning system significantly influences the concentration of airborne particles responsible for disease transmission. Utilizing the Taguchi optimization method, optimal positions for the inlet and outlet air were determined to minimize the number of suspended particles in the room (the best position) and maximize it (the worst position).
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- 2024
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8. Noticiário
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[S.N.] [S.N.]
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History (General) ,D1-2009 ,Latin America. Spanish America ,F1201-3799 - Published
- 2015
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9. What explains exit in Indian manufacturing industries?
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Kathuria, Vinish and Raj S.N., Rajesh
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- 2024
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10. Exploring thermoregulatory responses and hormonal changes in heat stressed Assam hill goats
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Deori, S., Abedin, S.N., Chakravarty, H., Katiyar, R., Choudhury, B.U., Syiem, E., and Doley, S.
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- 2024
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11. L5–S1 Spondylolisthesis: what has changed in 20 years? An overview of the main issues in comparison with personal experience
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A.A. Kuleshov, M.S. Vetrile, I.N. Lisyansky, S.N. Makarov, V.R. Zakharin, A.V. Sharov, and N.A. Aganesov
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l5–s1 spondylolisthesis ,surgical treatment of spondylolisthesis ,transpedicular fixation ,Surgery ,RD1-811 - Abstract
The very first issue of the Russian Journal of Spine Surgery (2004;(1):39–46) published an article entitled “Surgical Treatment for L5 Spondylolisthesis with Transpedicular Fixators”. Twenty years later, the authors analyzed changes in approaches to surgical treatment of spondylolisthesis, taking into account the experience in surgical treatment of this pathology gained at the N.N. Priorov National Medical Research Center of Traumatology and Orthopaedics. The issues of classification, fixation methods, reduction, changes in sagittal balance, the possibility of using additive technologies and possible complications of surgical treatment are considered. In conclusion, it is noted that the development of surgical treatment methods, the study of biomechanical features, the introduction of additive technologies and much more enable improving the outcomes of spondylolisthesis treatment.
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- 2024
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12. Protection of buried pipe using soil bag
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A. F. Ahmadian and S.N. Moghaddas Tafreshi
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buried pipe ,soilbags ,reinforcement ,settlement ,Building construction ,TH1-9745 - Abstract
In recent years, geosynthetics have been increasingly used to reinforce soil mass on pipes under static and repetitive loads. Soilbags are also effective for managing floods and various geotechnical applications, such as roadbeds, slope stability, and retaining walls. In this paper, the investigation of the buried pipe’s behavior in the unreinforced trench and reinforced trench with soil bag is considered. Therefore, a series of tests were conducted on the unreinforced and reinforced trench (reinforced by one soil bag, two soil bags in columnar arrangement with and without spacing, and three soil bags in two layers of stepped arrangement) containing a pipe with a diameter of 160 mm under static load. The results of the tests show the effect of the soil bag layer on reducing the bed settlement by enclosing the soil inside and preventing the lateral movement of the soil mass above the pipe. Also, the bag, by distributing the stress on a wider surface and significantly reducing it in depth, reduces the transfer stress to the pipe crown and as a result, reduces the deformation of the pipe. Increasing the buried depth of the soil bag results in a reduction in deformation and pressure on the pipe crown and an increase in soil surface settlement. The columnar arrangement of two layers of soil bags with spacing provides better performance in improving pipe behavior compared to those without spacing. Moreover, the use of two layers of soil bag with a stepped arrangement leads to a reduction in surface settlement, pressure on the pipe, and pipe deformation compared to two layers of soil bag with a column arrangement. However, considering the lack of significant difference between the behavior of the stepped and column arrangements (with or without spacing), the use of a column system is recommended, as it saves 33% of the soil bag.
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- 2024
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13. Dynamics of the educational level of Udmurt women in the 1920s–1980s: main trends and results
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Uvarov S.N. and Chernysheva N.V.
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udmurts ,women ,level of education ,udmurt autonomous soviet socialist republic ,soviet period ,Archaeology ,CC1-960 - Abstract
The paper presents the study of the educational level of Udmurt women in the 1920s–1980s. The methodology of the study is based on the theory of modernisation. The transition from the traditional society to modern is considered through the prism of the cultural changes that took place in the Soviet society, the most important component of which was the increase of the level of education within the population. The authors used general scientific methods (analysis, generalisation, description, systematisation), special-historical methods (historicalchronological, historical-genetic and historical-systematic), as well as statistical methods used in demography. As the main sources, the study employed population census materials, including those unpublished (Russian Census of 1920 and Soviet Censuses of 1926, 1939, 1959, 1970, 1979, and 1989). Some of the documents containing information about the population are introduced into scientific discourse for the first time. The authors distinguish and characterise 3 stages. In the 1920s, the most important objective was to combat illiteracy and create national schools. It is concluded that the level of education of the Udmurt population, especially Udmurt village women, was significantly lower than that in the region and in the Russian Republic in general. This tendency would manifest itself throughout the entire study period. In the 1930s–1950s, there was a gradual change of the objectives of educating people of particular nationalities, among other, under the influence of the wartime factors. In the 1950s–1980s, there was a gradual increase in the level of education of Udmurt women, including professional education, and dilution of ethnic and gender differences, whilst the age differences in the level of education remained.
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- 2024
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14. Thermal analysis of hybrid nanoliquid contains iron-oxide (Fe3O4) and copper (Cu) nanoparticles in an enclosure
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S.N. Kazmi, Arif Hussain, Khalil Ur Rehman, and Wasfi Shatanawi
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Thermal management ,Hybrid nanofluid ,Square cavity ,Galerkin finite element method ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
The major aim of this work is to analyze the thermophysical properties of hybrid nanoliquid inside a square lid driven enclosure under the effect of applied magnetic field and mixed convection. The Hybrid nanofluid is considered a suspension of Iron-oxide (Fe3O4) and Copper (Cu) nanoparticles into water. The cavity walls have varying properties such as top adiabatic wall is moving continuously while the lower wall is maintained at a high constant temperature, in addition, the vertical walls are kept at a low fixed temperature. The magnetic field is applied to the right vertical wall in a horizontal direction. Additionally, the effects of buoyancy forces caused by temperature gradients and shear forces caused by continuous lid motion are considered. The mathematical modelling of problem with all assumptions yields the nonlinear partial differential system. First this system is transferred into non-dimensional form and then transformed system is solved by using Galerkin finite element method (GFEM) along with Gaussian elimination method. Results for isotherms, streamlines and average Nusselt number are obtained versus Richardson number (0.1 ≤ Ri ≤ 15), Grashof number (10 ≤ Gr ≤ 10000), Hartmann number (0 ≤ Ha ≤ 100), volume fractions of solid nanoparticles (0.005 ≤ ϕ1 ≤ 0.02) and (0.005 ≤ ϕ2 ≤ 0.02). It is observed that the Richardson number and Grashof number have significant impacts on both flow velocity and temperature. In addition, concentration of hybrid nanoparticles improves the heat transfer performance. The obtained results may be crucial for thermal management in the cooling of electronics, heat exchangers, solar thermal collectors, industrial operations, medical equipment, HVAC systems, food processing, and renewable energy systems.
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- 2024
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15. PREDICTING BEEF CONSUMER CHARACTERISTICS IN INDONESIA USING A COMBINATION OF RESAMPLING AND MACHINE LEARNING TECHNIQUES
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Hadi S.N. and Chung R.H.
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beef consumption ,f-score ,oversampling ,random forest ,support vector machine ,Agriculture (General) ,S1-972 - Abstract
Although per capita beef consumption in Indonesia remains relatively low, the demand for beef has increased significantly over the past three decades. With domestic production unable to keep pace with this growing demand, the country has resorted to imports from other countries. This study aims to predict beef consumers and identify their characteristics in Indonesia using various algorithms combined with resampling techniques to handle an imbalanced dataset. A total of 33,361 observations were collected from the National Socioeconomic and Expenditure Survey conducted in 2021. Based on criteria of precision, sensitivity and F-score, oversampling produces higher accuracy than undersampling and no sampling. Among the six classifiers used to predict beef consumption in Indonesia, random forest and support vector machine outperformed others. Income level is identified as the most powerful factor for predicting beef consumption, followed by culture, house size, education level, age and consumption of poultry meat. These findings offer valuable insights for stakeholders involved in the beef industry, empowering them to devise more effective strategies. Furthermore, government can leverage these results to formulate macro policies pertaining to the beef industry, ensuring alignment with evolving consumer demand and fostering sustainable sectoral growth.
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- 2024
16. Substantial variability in what is considered important in the radiological report for anterior shoulder instability: a Delphi study with Dutch musculoskeletal radiologists and orthopedic surgeons
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Cain Rutgers, BSc, Lukas P.E. Verweij, MD, BSc, Michel P.J. van den Bekerom, MD, PhD, Henk-Jan van der Woude, MD, PhD, A.E. Scholtens, A. Soepboer, A. van Noort, B. Muller, B.E. Steunenberg, C.P.J. Visser, D.V. Loeffen, D.F. Hanff, D.F.P. van Deurzen, E.E.J. Raven, E.H.G. Oei, F.M. Zijta, H.C. van der Veen, I.D. Kilsdonk, J. Dening, J. Habets, L. Kluijtmans, L.E. Huygen, M.F. Boomsma, M.E.A.P.M. Adriaensen, J.O. van der Meer, F.O. Lambers Heerspink, O.A.J. van der Meijden, P.H. Ousema, R.G. Krol, S.M. Bollen, S.C.E. Diepstraten, S.N. de Jong, T.D. Berendes, T. Gosens, T.D.W. Alta, V.E. Versteegh, W. Foppen, and Y.V. Kleinlugtenbelt
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Shoulder ,Shoulder dislocation ,X-rays ,Magnetic resonance imaging ,Tomography ,X-ray computed ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Background: Standardized consensus-based radiological reports for shoulder instability may improve clinical quality, reduce heterogeneity, and reduce workload. Therefore, the aim of this study was to determine important elements for the x-ray, magnetic resonance imaging (MRI) arthrography (MRA), and computed tomography (CT) report, the extent of variability, and important MRI views and settings. Methods: An expert panel of musculoskeletal radiologists and orthopedic surgeons was recruited in a three-round Delphi design. Important elements were identified for the x-ray, MRA, and CT report and important MRI views and setting. These were rated on a 0-9 Likert scale. High variability was defined as at least one score between 1-3 and 7-9. Consensus was reached when ≥80% scored an element 1-3 or 7-9. Results: The expert panel consisted of 21 musculoskeletal radiologists and 15 orthopedic surgeons. The number of elements identified in the first round was seventeen for the x-ray report, 52 for MRA, 21 for CT, and 23 for the MRI protocol. The number of elements that reached consensus was five for x-ray, twenty for MRA, nine for CT, and two for the MRI protocol. High variability was observed in 76.5% (n = 13) x-ray elements, 85.0% (n = 45) MRA, 76.2% (n = 16) CT, and 85.7% (n = 18) MRI protocol. Conclusion: Substantial variability was observed in the scoring of important elements in the radiological for the evaluation of anterior shoulder instability, regardless of modality. Consensus was reached for five elements in the x-ray report, twenty in the MRA report, and nine in the CT report. Finally, consensus was reached on two elements regarding MRA views and settings.
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- 2024
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17. Speech Outcomes after Delayed Hard Palate Closure and Synchronous Secondary Alveolar Bone Grafting in Patients with Cleft Lip, Alveolus and Palate
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Mona Haj, S.N. Hakkesteegt, H.G. Poldermans, H.H.W. de Gier, S.L. Versnel, and E.B. Wolvius
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cleft lip with or without cleft palate ,cleft palate ,speech ,hard palate closure ,alveolar bone grafting ,Surgery ,RD1-811 - Abstract
Background The best timing of closure of the hard palate in individuals with cleft lip, alveolus, and palate (CLAP) to reach the optimal speech outcomes and maxillary growth is still a subject of debate. This study evaluates changes in compensatory articulatory patterns and resonance in patients with unilateral and bilateral CLAP who underwent simultaneous closure of the hard palate and secondary alveolar bone grafting (ABG).
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- 2024
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18. Combination and summary of ATLAS dark matter searches interpreted in a 2HDM with a pseudo-scalar mediator using 139 fb−1 of [formula omitted] TeV pp collision data
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Aad, G., Abbott, B., Abeling, K., Abicht, N.J., Abidi, S.H., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Abusleme Hoffman, A.C., Acharya, B.S., Adam Bourdarios, C., Adamczyk, L., Adamek, L., Addepalli, S.V., Addison, M.J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A.A., Afik, Y., Agaras, M.N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W.S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Aizenberg, I., Akbiyik, M., Åkesson, T.P.A., Akimov, A.V., Akiyama, D., Akolkar, N.N., Al Khoury, K., Alberghi, G.L., Albert, J., Albicocco, P., Albouy, G.L., Alderweireldt, S., Aleksa, M., Aleksandrov, I.N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H.M.J., Ali, S., Alibocus, S.W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B.M.M., Allen, J.F., Allendes Flores, C.A., Allport, P.P., Aloisio, A., Alonso, F., Alpigiani, C., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M.G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C.G., Amidei, D., Amor Dos Santos, S.P., Amos, K.R., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J.K., Andrean, S.Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A.V., Annovi, A., Antel, C., Anthony, M.T., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparisi Pozo, J.A., Aparo, M.A., Bella, L. Aperio, Appelt, C., Apyan, A., Aranzabal, N., Arcangeletti, C., Arce, A.T.H., Arena, E., Arguin, J.-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N.A., Assahsah, J., Assamagan, K., Astalos, R., Atashi, S., Atkin, R.J., Atkinson, M., Atmani, H., Atmasiddha, P.A., Augsten, K., Auricchio, S., Auriol, A.D., Austrup, V.A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Bagnaia, P., Bahmani, M., Bailey, A.J., Bailey, V.R., Baines, J.T., Baines, L., Bakalis, C., Baker, O.K., Bakos, E., Bakshi Gupta, D., Balakrishnan, V., Balasubramanian, R., Baldin, E.M., Balek, P., Ballabene, E., Balli, F., Baltes, L.M., Balunas, W.K., Balz, J., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E.L., Barberis, D., Barbero, M., Barends, K.N., Barillari, T., Barisits, M.-S., Barklow, T., Baron, P., Baron Moreno, D.A., Baroncelli, A., Barone, G., Barr, A.J., Barr, J.D., Barranco Navarro, L., Barreiro, F., da Costa, J. Barreiro Guimarães, Barron, U., Barros Teixeira, M.G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A.E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M.J., Basson, C.R., Bates, R.L., Batlamous, S., Batley, J.R., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Bazzano Hurrell, L.T., Beacham, J.B., Beau, T., Beauchemin, P.H., Becherer, F., Bechtle, P., Beck, H.P., Becker, K., Beddall, A.J., Bednyakov, V.A., Bee, C.P., Beemster, L.J., Beermann, T.A., Begalli, M., Begel, M., Behera, A., Behr, J.K., Beirer, J.F., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Belyaev, N.L., Benchekroun, D., Bendebba, F., Benhammou, Y., Benoit, M., Bensinger, J.R., Bentvelsen, S., Beresford, L., Beretta, M., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Beringer, J., Bernardi, G., Bernius, C., Bernlochner, F.U., Bernon, F., Berry, T., Berta, P., Berthold, A., Bertram, I.A., Bethke, S., Betti, A., Bevan, A.J., Bhamjee, M., Bhatta, S., Bhattacharya, D.S., Bhattarai, P., Bhopatkar, V.S., Bi, R., Bianchi, R.M., Bianco, G., Biebel, O., Bielski, R., Biglietti, M., Billoud, T.R.V., Bindi, M., Bingul, A., Bini, C., Biondini, A., Birch-sykes, C.J., Bird, G.A., Birman, M., Biros, M., Bisanz, T., Bisceglie, E., Biswas, D., Bitadze, A., Bjørke, K., Bloch, I., Blocker, C., Blue, A., Blumenschein, U., Blumenthal, J., Bobbink, G.J., Bobrovnikov, V.S., Boehler, M., Boehm, B., Bogavac, D., Bogdanchikov, A.G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C.D., Borbély, A.G., Bordulev, I.S., Borecka-Bielska, H.M., Borgna, L.S., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J.D., Bouaouda, K., Bouchhar, N., Boudreau, J., Bouhova-Thacker, E.V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I.R., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J.E., Brener, R., Brenner, L., Brenner, R., Bressler, S., Britton, D., Britzger, D., Brock, I., Brooijmans, G., Brooks, W.K., Brost, E., Brown, L.M., Bruce, L.E., Bruckler, T.L., de Renstrom, P.A. 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Egidio Purcino, Ehrke, L.F., Eigen, G., Einsweiler, K., Ekelof, T., Ekman, P.A., El Farkh, S., El Ghazali, Y., El Jarrari, H., El Moussaouy, A., Ellajosyula, V., Ellert, M., Ellinghaus, F., Elliot, A.A., Ellis, N., Elmsheuser, J., Elsing, M., Emeliyanov, D., Enari, Y., Ene, I., Epari, S., Erdmann, J., Erland, P.A., Errenst, M., Escalier, M., Escobar, C., Etzion, E., Evans, G., Evans, H., Evans, L.S., Evans, M.O., Ezhilov, A., Ezzarqtouni, S., Fabbri, F., Fabbri, L., Facini, G., Fadeyev, V., Fakhrutdinov, R.M., Falciano, S., Falda Ulhoa Coelho, L.F., Falke, P.J., Faltova, J., Fan, C., Fan, Y., Fang, Y., Fanti, M., Faraj, M., Farazpay, Z., Farbin, A., Farilla, A., Farooque, T., Farrington, S.M., Fassi, F., Fassouliotis, D., Faucci Giannelli, M., Fawcett, W.J., Fayard, L., Federic, P., Federicova, P., Fedin, O.L., Fedotov, G., Feickert, M., Feligioni, L., Fellers, D.E., Feng, C., Feng, M., Feng, Z., Fenton, M.J., Fenyuk, A.B., Ferencz, L., Ferguson, R.A.M., Fernandez Luengo, S.I., Fernoux, M.J.V., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferrere, D., Ferretti, C., Fiedler, F., Filipčič, A., Filmer, E.K., Filthaut, F., Fiolhais, M.C.N., Fiorini, L., Fisher, W.C., Fitschen, T., Fitzhugh, P.M., Fleck, I., Fleischmann, P., Flick, T., Flores, M., Flores Castillo, L.R., De Acedo, L. 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Zamora, Zang, J., Zanzi, D., Zaplatilek, O., Zeitnitz, C., Zeng, H., Zeng, J.C., Zenger, D.T., Jr, Zenin, O., Ženiš, T., Zenz, S., Zerradi, S., Zerwas, D., Zhai, M., Zhang, B., Zhang, D.F., Zhang, J., Zhang, K., Zhang, L., Zhang, P., Zhang, R., Zhang, S., Zhang, T., Zhang, X., Zhang, Y., Zhang, Z., Zhao, H., Zhao, P., Zhao, T., Zhao, Y., Zhao, Z., Zhemchugov, A., Zheng, J., Zheng, K., Zheng, X., Zheng, Z., Zhong, D., Zhou, B., Zhou, H., Zhou, N., Zhou, Y., Zhu, C.G., Zhu, J., Zhu, Y., Zhuang, X., Zhukov, K., Zhulanov, V., Zimine, N.I., Zinsser, J., Ziolkowski, M., Živković, L., Zoccoli, A., Zoch, K., Zorbas, T.G., Zormpa, O., Zou, W., and Zwalinski, L.
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- 2024
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19. OS “RITOS DO CORPO”: a manifestação de uma linguagem pedagógica
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A.C., SILVA, primary, S.M., SILVA, additional, and S.N., JESUS, additional
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- 2024
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20. DO JUIZ DE GARANTIAS: princípios sociais
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F.V., NETO, primary, S.N., JESUS, additional, and B.C.F., ALVES, additional
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- 2024
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21. Blockchain-enabled secure and authentic Nash equilibrium strategies for heterogeneous networked hub of electric vehicle charging stations
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Desh Deepak Sharma, S.N. Singh, and Jeremy Lin
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Network hub ,EV token ,Heterogeneous blockchains ,Interoperability ,Nash equilibrium ,Information technology ,T58.5-58.64 - Abstract
In the networked enlarged electric vehicle (EV) charging infrastructures, the security and authenticity of the stakeholders involved in the EV energy market pool are prime important. This paper proposes an EV network hub (EVNH) comprising EVs, EV aggregators (EVAs), and charging nodes in the networked EV energy market pool. The various EVAs implement different heterogeneous blockchains. The EVNH facilitates blockchain-based secure and resilient energy trading under grid to vehicle and vehicle to grid systems. The paper emphasizes interoperability challenges involving different blockchains to communicate and transfer assets or data between them. We suggest secure and trustworthy energy trading across various EVAs using multiple EV tokens for EV energy trading through cross-chain communications. The EVAs consider a Nash equilibrium-seeking strategy to find the Nash equilibrium in the noncooperative game of EVAs. The effectiveness of the proposed EVNH is tested using MATLAB, Solidity, and Python software.
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- 2024
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22. Multi-port network based modeling and selection of capacitor for desired voltage regulation of a standalone six-phase short-shunt induction generator for application in remote areas
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Saikat Ghosh and S.N. Mahato
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Six-phase induction generator ,Binary search algorithm ,Capacitor optimization ,Multi-port network analysis ,Voltage regulation ,Rural area electrification ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
This paper gives a straightforward method to determine the values of excitation capacitors of a standalone short-shunt six-phase induction generator (SPIG) to maintain the voltage profile within predetermined percentage of voltage deviation (VD). In this envisioned study, the value of the capacitor is meticulously chosen to optimize the number of capacitor switching, ensuring minimal system cost and complexity. The theory of multi-port network analysis has been applied for modelling of the SPIG, thus, the complex mathematical derivation to obtain the model equations is avoided. The system is expressed as a multivariable nonlinear optimization problem. The resultant admittance of the SPIG is calculated from its per phase equivalent circuit and is used as an objective function, which is solved using Binary Search Algorithm (BSA). The main novelty of this work is the determination of the model equations of the SPIG system in an efficient and simple way using the multi-port network analysis approach. Along with this, the BSA is employed for optimal selection of excitation capacitors because of its simplicity and less computational time. The results, on a 3.7 kW induction machine, reveal that to maintain a 4 % VD, a fixed series capacitor of 140 µF and two switched shunt capacitors (34.4 µF, 91.8 µF) are required. For 2 % VD, four shunt capacitors (24.2µF, 36.2µF, 64.7µF, 91.2µF) are necessary. The performance of the machine is evaluated with the help of magnetic characteristics and other equations obtained from its per phase equivalent circuit. The experimentation has been carried out in a hardware prototype system developed in the laboratory. The experimental and the simulated results are compared and found that both are nearly same for different operating conditions, which indicates the efficacy of the proposed approach.
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- 2024
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23. Measurements of Lund subjet multiplicities in 13 TeV proton-proton collisions with the ATLAS detector
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G. Aad, E. Aakvaag, B. Abbott, K. Abeling, N.J. Abicht, S.H. Abidi, M. Aboelela, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, B.S. Acharya, A. Ackermann, C. Adam Bourdarios, L. Adamczyk, S.V. Addepalli, M.J. Addison, J. Adelman, A. Adiguzel, T. Adye, A.A. Affolder, Y. Afik, M.N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, A. Ahmad, F. Ahmadov, W.S. Ahmed, S. Ahuja, X. Ai, G. Aielli, A. Aikot, M. Ait Tamlihat, B. Aitbenchikh, I. Aizenberg, M. Akbiyik, T.P.A. Åkesson, A.V. Akimov, D. Akiyama, N.N. Akolkar, S. Aktas, K. Al Khoury, G.L. Alberghi, J. Albert, P. Albicocco, G.L. Albouy, S. Alderweireldt, Z.L. Alegria, M. Aleksa, I.N. Aleksandrov, C. Alexa, T. Alexopoulos, F. Alfonsi, M. Algren, M. Alhroob, B. Ali, H.M.J. Ali, S. Ali, S.W. Alibocus, M. Aliev, G. Alimonti, W. Alkakhi, C. Allaire, B.M.M. Allbrooke, J.F. Allen, C.A. Allendes Flores, P.P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, M. Alvarez Estevez, A. Alvarez Fernandez, M. Alves Cardoso, M.G. Alviggi, M. Aly, Y. Amaral Coutinho, A. Ambler, C. Amelung, M. Amerl, C.G. Ames, D. Amidei, K.J. Amirie, S.P. Amor Dos Santos, K.R. Amos, S. An, V. Ananiev, C. Anastopoulos, T. Andeen, J.K. Anders, S.Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A.V. Anisenkov, A. Annovi, C. Antel, M.T. Anthony, E. Antipov, M. Antonelli, F. Anulli, M. Aoki, T. Aoki, J.A. Aparisi Pozo, M.A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, S.J. Arbiol Val, C. Arcangeletti, A.T.H. Arce, E. Arena, J-F. Arguin, S. Argyropoulos, J.-H. Arling, O. Arnaez, H. Arnold, G. Artoni, H. Asada, K. Asai, S. Asai, N.A. Asbah, K. Assamagan, R. Astalos, K.S.V. Astrand, S. Atashi, R.J. Atkin, M. Atkinson, H. Atmani, P.A. Atmasiddha, K. Augsten, S. Auricchio, A.D. Auriol, V.A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, T.M. Baer, P. Bagnaia, M. Bahmani, D. Bahner, K. Bai, J.T. Baines, L. Baines, O.K. Baker, E. Bakos, D. Bakshi Gupta, V. Balakrishnan, R. Balasubramanian, E.M. Baldin, P. Balek, E. Ballabene, F. Balli, L.M. Baltes, W.K. Balunas, J. Balz, E. Banas, M. Bandieramonte, A. Bandyopadhyay, S. Bansal, L. Barak, M. Barakat, E.L. Barberio, D. Barberis, M. Barbero, M.Z. Barel, K.N. Barends, T. Barillari, M-S. Barisits, T. Barklow, P. Baron, D.A. Baron Moreno, A. Baroncelli, G. Barone, A.J. Barr, J.D. Barr, F. Barreiro, J. Barreiro Guimarães da Costa, U. Barron, M.G. Barros Teixeira, S. Barsov, F. Bartels, R. Bartoldus, A.E. Barton, P. Bartos, A. Basan, M. Baselga, A. Bassalat, M.J. Basso, R. Bate, R.L. Bates, S. Batlamous, B. Batool, M. Battaglia, D. Battulga, M. Bauce, M. Bauer, P. Bauer, L.T. Bazzano Hurrell, J.B. Beacham, T. Beau, J.Y. Beaucamp, P.H. Beauchemin, P. Bechtle, H.P. Beck, K. Becker, A.J. Beddall, V.A. Bednyakov, C.P. Bee, L.J. Beemster, T.A. Beermann, M. Begalli, M. Begel, A. Behera, J.K. Behr, J.F. Beirer, F. Beisiegel, M. Belfkir, G. Bella, L. Bellagamba, A. Bellerive, P. Bellos, K. Beloborodov, D. Benchekroun, F. Bendebba, Y. Benhammou, K.C. Benkendorfer, L. Beresford, M. Beretta, E. Bergeaas Kuutmann, N. Berger, B. Bergmann, J. Beringer, G. Bernardi, C. Bernius, F.U. Bernlochner, F. Bernon, A. Berrocal Guardia, T. Berry, P. Berta, A. Berthold, S. Bethke, A. Betti, A.J. Bevan, N.K. Bhalla, M. Bhamjee, S. Bhatta, D.S. Bhattacharya, P. Bhattarai, K.D. Bhide, V.S. Bhopatkar, R.M. Bianchi, G. Bianco, O. Biebel, R. Bielski, M. Biglietti, C.S. Billingsley, M. Bindi, A. Bingul, C. Bini, A. Biondini, C.J. Birch-sykes, G.A. Bird, M. Birman, M. Biros, S. Biryukov, T. Bisanz, E. Bisceglie, J.P. Biswal, D. Biswas, K. Bjørke, I. Bloch, A. Blue, U. Blumenschein, J. Blumenthal, V.S. Bobrovnikov, M. Boehler, B. Boehm, D. Bogavac, A.G. Bogdanchikov, C. Bohm, V. Boisvert, P. Bokan, T. Bold, M. Bomben, M. Bona, M. Boonekamp, C.D. Booth, A.G. Borbély, I.S. Bordulev, H.M. Borecka-Bielska, G. Borissov, D. Bortoletto, D. Boscherini, M. Bosman, J.D. Bossio Sola, K. Bouaouda, N. Bouchhar, J. 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Tayalati, G.N. Taylor, W. Taylor, A.S. Tee, R. Teixeira De Lima, P. Teixeira-Dias, J.J. Teoh, K. Terashi, J. Terron, S. Terzo, M. Testa, R.J. Teuscher, A. Thaler, O. Theiner, N. Themistokleous, T. Theveneaux-Pelzer, O. Thielmann, D.W. Thomas, J.P. Thomas, E.A. Thompson, P.D. Thompson, E. Thomson, R.E. Thornberry, Y. Tian, V. Tikhomirov, Yu.A. Tikhonov, S. Timoshenko, D. Timoshyn, E.X.L. Ting, P. Tipton, S.H. Tlou, K. Todome, S. Todorova-Nova, S. Todt, M. Togawa, J. Tojo, S. Tokár, K. Tokushuku, O. Toldaiev, R. Tombs, M. Tomoto, L. Tompkins, K.W. Topolnicki, E. Torrence, H. Torres, E. Torró Pastor, M. Toscani, C. Tosciri, M. Tost, D.R. Tovey, A. Traeet, I.S. Trandafir, T. Trefzger, A. Tricoli, I.M. Trigger, S. Trincaz-Duvoid, D.A. Trischuk, B. Trocmé, L. Truong, M. Trzebinski, A. Trzupek, F. Tsai, M. Tsai, A. Tsiamis, P.V. Tsiareshka, S. Tsigaridas, A. Tsirigotis, V. Tsiskaridze, E.G. Tskhadadze, M. Tsopoulou, Y. Tsujikawa, I.I. Tsukerman, V. Tsulaia, S. Tsuno, K. Tsuri, D. Tsybychev, Y. Tu, A. Tudorache, V. Tudorache, A.N. Tuna, S. Turchikhin, I. Turk Cakir, R. Turra, T. Turtuvshin, P.M. Tuts, S. Tzamarias, E. Tzovara, F. Ukegawa, P.A. Ulloa Poblete, E.N. Umaka, G. Unal, A. Undrus, G. Unel, J. Urban, P. Urquijo, P. Urrejola, G. Usai, R. Ushioda, M. Usman, Z. Uysal, V. Vacek, B. Vachon, K.O.H. Vadla, T. Vafeiadis, A. Vaitkus, C. Valderanis, E. Valdes Santurio, M. Valente, S. Valentinetti, A. Valero, E. Valiente Moreno, A. Vallier, J.A. Valls Ferrer, D.R. Van Arneman, T.R. Van Daalen, A. Van Der Graaf, P. Van Gemmeren, M. Van Rijnbach, S. Van Stroud, I. Van Vulpen, P. Vana, M. Vanadia, W. Vandelli, E.R. Vandewall, D. Vannicola, L. Vannoli, R. Vari, E.W. Varnes, C. Varni, T. Varol, D. Varouchas, L. Varriale, K.E. Varvell, M.E. Vasile, L. Vaslin, G.A. Vasquez, A. Vasyukov, R. Vavricka, F. Vazeille, T. Vazquez Schroeder, J. Veatch, V. Vecchio, M.J. Veen, I. Veliscek, L.M. Veloce, F. Veloso, S. Veneziano, A. Ventura, S. Ventura Gonzalez, A. Verbytskyi, M. Verducci, C. Vergis, M. Verissimo De Araujo, W. Verkerke, J.C. Vermeulen, C. Vernieri, M. Vessella, M.C. Vetterli, A. Vgenopoulos, N. Viaux Maira, T. Vickey, O.E. Vickey Boeriu, G.H.A. Viehhauser, L. Vigani, M. Villa, M. Villaplana Perez, E.M. Villhauer, E. Vilucchi, M.G. Vincter, G.S. Virdee, A. Visibile, C. Vittori, I. Vivarelli, E. Voevodina, F. Vogel, J.C. Voigt, P. Vokac, Yu. Volkotrub, J. Von Ahnen, E. Von Toerne, B. Vormwald, V. Vorobel, K. Vorobev, M. Vos, K. Voss, M. Vozak, L. Vozdecky, N. Vranjes, M. Vranjes Milosavljevic, M. Vreeswijk, N.K. Vu, R. Vuillermet, O. Vujinovic, I. Vukotic, S. Wada, C. Wagner, J.M. Wagner, W. Wagner, S. Wahdan, H. Wahlberg, M. Wakida, J. Walder, R. Walker, W. Walkowiak, A. Wall, E.J. Wallin, T. Wamorkar, A.Z. Wang, C. Wang, H. Wang, J. Wang, R.-J. Wang, R. Wang, S.M. Wang, S. Wang, T. Wang, W.T. Wang, W. Wang, X. Wang, Y. Wang, Z. Wang, A. Warburton, R.J. Ward, N. Warrack, S. Waterhouse, A.T. Watson, H. Watson, M.F. Watson, E. Watton, G. Watts, B.M. Waugh, J.M. Webb, C. Weber, H.A. Weber, M.S. Weber, S.M. Weber, C. Wei, Y. Wei, A.R. Weidberg, E.J. Weik, J. Weingarten, M. Weirich, C. Weiser, C.J. Wells, T. Wenaus, B. Wendland, T. Wengler, N.S. Wenke, N. Wermes, M. Wessels, A.M. Wharton, A.S. White, A. White, M.J. White, D. Whiteson, L. Wickremasinghe, W. Wiedenmann, M. Wielers, C. Wiglesworth, D.J. Wilbern, H.G. Wilkens, J.J.H. Wilkinson, D.M. Williams, H.H. Williams, S. Williams, S. Willocq, B.J. Wilson, P.J. Windischhofer, F.I. Winkel, F. Winklmeier, B.T. Winter, J.K. Winter, M. Wittgen, M. Wobisch, T. Wojtkowski, Z. Wolffs, J. Wollrath, M.W. Wolter, H. Wolters, M.C. Wong, E.L. Woodward, S.D. Worm, B.K. Wosiek, K.W. Woźniak, S. Wozniewski, K. Wraight, C. Wu, M. Wu, S.L. Wu, X. Wu, Y. Wu, Z. Wu, J. Wuerzinger, T.R. Wyatt, B.M. Wynne, S. Xella, L. Xia, M. Xia, J. Xiang, M. Xie, X. Xie, S. Xin, A. Xiong, J. Xiong, D. Xu, H. Xu, L. Xu, R. Xu, T. Xu, Y. Xu, Z. Xu, B. Yabsley, S. Yacoob, Y. Yamaguchi, E. Yamashita, H. Yamauchi, T. Yamazaki, Y. Yamazaki, J. Yan, S. Yan, Z. Yan, H.J. Yang, H.T. Yang, S. Yang, T. Yang, X. Yang, Y. Yang, Z. Yang, W-M. Yao, H. Ye, J. Ye, S. Ye, X. Ye, Y. Yeh, I. Yeletskikh, B. Yeo, M.R. Yexley, T.P. Yildirim, P. Yin, K. Yorita, S. Younas, C.J.S. Young, C. Young, C. Yu, Y. Yu, M. Yuan, R. Yuan, L. Yue, M. Zaazoua, B. Zabinski, E. Zaid, Z.K. Zak, T. Zakareishvili, N. Zakharchuk, S. Zambito, J.A. Zamora Saa, J. Zang, D. Zanzi, O. Zaplatilek, C. Zeitnitz, H. Zeng, J.C. Zeng, D.T. Zenger, Jr, O. Zenin, T. Ženiš, S. Zenz, S. Zerradi, D. Zerwas, M. Zhai, D.F. Zhang, J. Zhang, K. Zhang, L. Zhang, P. Zhang, R. Zhang, S. Zhang, T. Zhang, X. Zhang, Y. Zhang, Z. Zhang, H. Zhao, T. Zhao, Y. Zhao, Z. Zhao, A. Zhemchugov, J. Zheng, K. Zheng, X. Zheng, Z. Zheng, D. Zhong, B. Zhou, H. Zhou, N. Zhou, Y. Zhou, C.G. Zhu, J. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, N.I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T.G. Zorbas, O. Zormpa, W. Zou, and L. Zwalinski
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Physics ,QC1-999 - Abstract
This Letter presents a differential cross-section measurement of Lund subjet multiplicities, suitable for testing current and future parton shower Monte Carlo algorithms. This measurement is made in dijet events in 140 fb−1 of s=13 TeV proton–proton collision data collected with the ATLAS detector at CERN's Large Hadron Collider. The data are unfolded to account for acceptance and detector-related effects, and are then compared with several Monte Carlo models and to recent resummed analytical calculations. The experimental precision achieved in the measurement allows tests of higher-order effects in QCD predictions. Most predictions fail to accurately describe the measured data, particularly at large values of jet transverse momentum accessible at the Large Hadron Collider, indicating the measurement's utility as an input to future parton shower developments and other studies probing fundamental properties of QCD and the production of hadronic final states up to the TeV-scale.
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- 2024
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24. Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN
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Ashish A Desai, S.N. Khan, Pooja Bagane, and Sagar Dnyandev Patil
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Multi-objective gray relational analysis (MOGRA) ,Laser machining ,Carbon-glass fiber reinforced polymer (CGFRP) composites ,Artificial neural networks (ANNs) ,Top kerf width (TKWF) ,Bottom kerf width (BKWF) ,Science - Abstract
This research aims to improve the accuracy of cutting fiber-reinforced polymers (FRPs) utilizing CO2 laser processing techniques, with a particular focus on carbon-glass fiber-reinforced hybrid composites (CGFRP) using epoxy resin. Establishing CO2 laser machining as a dependable and effective process for creating superior CGFRP components is the main goal. This research intends to optimize laser machining parameters to enhance surface quality and machining efficiency for these composites by a thorough parametric analysis. In order to model and improve the correlations between important machining parameters, the research combines regression models, multi-objective gray relational analysis (MOGRA), and Artificial Neural Networks (ANNs). When linked together, these methods enable efficient multi-objective optimization, which enhances laser cutting operations for CGFRP materials in terms of accuracy and economy. Using the Taguchi L27 orthogonal array, one can methodically investigate how different parameters affect CGFRP cutting. GRA is used in optimization to find the best parameter combinations and highlight important parameters. After determining that LPW3CSD1FOL1GPR1 and LPW3CSD2FOL1GPR2 were the ultimate ideal settings, the initial machining parameters were set at LPW3CSD1FOL1GPR1. Predictions and trials confirm that these adjusted parameters result in a 6.125% improvement in grade. Also, ANN structured approach enhances predictive accuracy and provides valuable insights for optimizing machining processes.Accordingly, a strong framework for enhancing hybrid composite laser machining is provided by this research. The research aims to develop a robust framework for optimizing CO2 laser cutting of CGFRP composites, ultimately leading to more efficient, cost-effective manufacturing solutions for high-performance applications in aerospace, automotive, and marine sectors.
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- 2024
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25. Tritium content in vegetation cover at nuclear test locations at the 'Sary-Uzen' site in the Semipalatinsk Test Site
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N.V. Larionova, P. Ye Krivitskiy, A.K. Aidarkhanova, V.V. Polevik, L.V. Timonova, V.N. Monayenko, D.V. Turchenko, S.N. Lukashenko, A.V. Toporova, and A.O. Aidarkhanov
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Semipalatinsk Test Site (STS) ,Tritium ,OBT ,TFWT ,Environmental pollution ,TD172-193.5 ,Environmental sciences ,GE1-350 - Abstract
Numerous areas of the Semipalatinsk Test Site (STS) were subjected to radioactive contamination, including tritium. The tritium content in plants was determined in free water (TFWT) and in the organic component (OBT). It has been established that the OBT content in plants for the “Sary-Uzen” site between combat boreholes ranges from
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- 2024
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26. Effect of temperature and soil moisture on the infectivity of four species of entomopathogenic nematodes (Steinernema and Heterorhabditis spp.) to fall armyworm, Spodoptera frugiperda (Smith)
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Jagadeesh Patil, Aarthi Nekkanti, Manjunatha T. Gowda, and S.N. Sushil
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Abiotic factor ,Soil conditions ,Virulence ,Biological control ,H. indica ,Agriculture (General) ,S1-972 ,Nutrition. Foods and food supply ,TX341-641 - Abstract
Spodoptera frugiperda (JE Smith) is one of the most important lepidopterous pests of maize throughout the word. The implementation of management strategies for this are need of the hour. In this case the use of Entomopathogenic nematodes (EPNs) is feasible because third-instar larvae feed in the leaf whorls of maize, and sixth instar larvae pupate in the soil; these two environments are congenial for the EPNs. But temperature and soil moisture play major roles in EPNs infectivity. Therefore, in the current study, we examined temperature and soil moisture effect on the infectivity of four indigenous EPN species from India, Heterorhabditis indica NBAIIH23, H. bacteriophora NBAIRH75, Steinernema carpocapsae NBAIRS59, and S. abbasi NBAIISa01 against larvae and pupae of S. frugiperda. Present study results showed that both temperature and soil moisture affected the infectivity of H. indica, S. carpocapsae, H. bacteriophora, and S. abbasi. As the exposure time increased, all these four nematodes infectivity to larvae was increased. Six days after inoculation, H. indica caused significantly higher larval mortality (96 %) at 25 °C and 100 % mortality at 28 °C. Whereas, S. carpocapsae caused 100 % mortality at 28 °C, and 76 % mortality at 25 °C. At 32 °C, H. indica and S. carpocapsae caused 90 % and 92 % larval mortality, respectively. As the temperature decreased to 20 °C, the infectivity of both the nematodes decreased. However, H. bacteriophora and S. abbasi caused 68 % and 50 % mortality in larvae at 20 °C, respectively. Compared to other nematodes, H. indica significantly caused higher mortality in pupae at 13 % soil moisture at 28 °C. We conclude that, Heterorhabditis indica and S. carpocapsae can be utilized against S. frugiperda larvae at (25–32 °C), and pupae at (28 °C). These nematodes can also be used against pupae of S. frugiperda at 9–13 % soil moisture content. We also suggest that these EPNs species can be incorporated in the Integrated Pest Management (IPM) for S. frugiperda.
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- 2024
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27. The effects of Eu3+ concentration on the photoluminescence of Na4Ca (PO3)6 phosphors prepared by a solid-state reaction method
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K.B. Morebodi, S.N. Ogugua, Vinay Kumar, and H.C. Swart
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Eu3+ ions ,Na4Ca(PO3)6 doped phosphor ,Photoluminescence ,Visible region emission ,Orange-red colour emitting display ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
A series of Na4Ca (PO3)6: xmol% Eu3+ (x = 1, 2, 3, 4 and 5) was synthesized using a solid-state method and characterized using various techniques. The X-ray powder diffraction data confirmed that the phosphors crystalized in the monoclinic phase. The Fourier-transform infrared spectroscopy confirmed the presence of phosphate groups and an HO-H peak. The optical bandgaps got smaller as the Eu3+ concentration went up as seen in the diffuse reflectance data. The photoluminescence excitation spectra obtained when monitoring the 613 nm emission line showed peaks assigned to 4f→4f Eu3+ transitions. When the excitation was monitored at 394 nm, the emission exhibited strong narrow bands at 591, 613, 651 and 698 nm owing to the 5D0 → 7FJ (J = 0 - 4) transitions of Eu3+. The main emission peak increased with Eu3+ concentration from 1 mol% to 4 mol% and decreased significantly as the Eu3+ concentration reached 5 mol%. The concentration quenching effect is responsible for the drop in PL intensity at concentrations higher than the optimum Eu3+ concentration. The International Commission on Illumination (CIE) chromaticity coordinates of the phosphors displayed colour response in the orange- red region, suggesting that they have potential application in the orange-red colour-emitting light displays.
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- 2024
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28. Power supply for wireless devices of information measuring and control systems based on an improved piezoelectric vibration generator
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V.A. Bardin, V.S. Volkov, S.N. Bazykin, N.A. Bazykina, K.S. Samohina, and I.N. Urvaev
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piezoelectric energy converter ,vibration generator ,wireless power supply ,Technology - Abstract
Background. In recent years, there has been a search for alternative sources of electricity that use natural and man-made energy sources, such as solar radiation, water movement, wind, vibration and others. On an industrial scale, solar panels and wind power plants are already widely used to harness environmental energy. However, there are also objects with low energy consumption, such as small household appliances, mobile phones, wireless systems for diagnosing and monitoring the technical condition of objects, and other autonomous systems. The purpose of the research is to develop a bending type piezoelectric generator with a sensing element made of lead zirconate titanate material using silicon microelectronic technology. Materials and methods. To study the characteristics of piezoelectric generators of the bending type, methods for calculating alternating current electrical circuits, the theory of oscillations, as well as circuit modeling of equivalent electrical circuits using the MathCad program, and methods for solving differential equations were used. Results. The problem of increasing the output power was solved by finding the length of the electrode reaching its peak x ≈ 0.44∙L (L is the length of the beam), that is, covering 44 % of the beam from the clamped end, and the optimal geometric parameters were determined: length L = 60 ∙ 10–3 m , width W = 3 ∙ 10–3 m, thickness of the piezoelectric layer H = 1,5 ∙ 10–6 m, thickness of the substrate h = 250 ∙ 10–6 m. As a result, the maximum output power of the beam piezoelectric generator is obtained, reaching 9.2 μW. Conclusions. Mathematical modeling of the dependences of power on geometric parameters was carried out and graphs were obtained. The moment of resistance, the maximum moment in the section, and the force acting on the beam were calculated from the strength conditions. A bending type piezoelectric generator with a sensitive element made of PZT material using microelectronic silicon technology has been developed.
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- 2024
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29. Postintubation cicatricial stenosis of the trachea and ways of its elimination
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S.N. Loginov, E.G. Feoktistova, and O.S. Knestyapin
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complications of prolonged ventilation ,cicatricial tracheal stenosis ,tracheal resection ,Medicine - Abstract
Background. With prolonged mechanical ventilation, which is necessary for patients with critical conditions and prolonged surgical interventions, the risk of developing cicatricial stenosis of the trachea is high. Currently, there are no uniform standards of prevention and an algorithm for the treatment of this serious complication, which in some cases leads to disability of the patient and fatal outcomes. The purpose of this work was a brief review of the literature on the problem of post-intubation tracheal stenosis and a demonstration of a clinical case of successful radical treatment of a patient. Materials and methods. The article presents a clinical case of reconstructive surgical treatment of a patient with decompensated cicatricial tracheal stenosis (90%), detected 2 months after prolonged mechanical ventilation (ventilator). Result. During dynamic follow-up 6 months after radical surgical treatment, the patient was not diagnosed with signs of respiratory failure and recurrence of tracheal stenosis, confirmed by CT data of the chest organs and bronchoscopy. Conclusions. Patients on long-term ventilation should be prevented from tracheal stenosis. Depending on the level, extent, and degree of tracheal stenosis, a personalized treatment strategy for the patient should be chosen. With the development of decompensated stenosis, radical surgical treatment is the method of choice.
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- 2024
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30. Ontogenetic characteristics of local populations of Linum flavum L. (Linaceae) in Penza region
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Yu.A. Fatyunina, A.E. Shcheglov, O.E. Surkova, L.А. Novikova, and S.N. Artemova
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ontogenetic structure ,rare plants ,biomorph ,population density ,Biology (General) ,QH301-705.5 - Abstract
Background. Comparison of ontogenetic indicators of local populations of the yellow flax plant Linum flavum L., rare for the Penza region, was aimed at assessing their current state as the basis for further monitoring and development of measures to protect the species to preserve the biodiversity of the Penza region. Materials and methods. Under the conditions of the protection regime (the natural monument “Urochische Cherdak”) and in the conditions of the restoration of steppe communities on fallow land (the Ukhtinsky steppes tract), the density, numbers, and ontogenetic structure of local populations of yellow flax were studied, as well as the phytocenotic location of the species and its contribution to the structure of communities at different stages restorative succession. Results. In the studied communities of true and meadow steppes, steppe and true meadows, Linum flavum forms a caudex facultative- root-sprouting biomorph. Shows traits of explerence. When the vegetation cover is highly dense, it acts as an assectator with a projective cover of 2–4 %; populations have a low density (2.5 pcs/m2). In disturbed communities it dominates and co-dominates (projective cover 20–25%), increasing the density by an order of magnitude due to individuals of the pregenerative period. Ontogenetic spectra in both cases are two-peaked – with a maximum in juvenile and generative individuals; in weakly disturbed communities, the main contribution to the structure is made by mature and old generative individuals, and in fallows – by juvenile individuals (populations according to the “Δ – ω” classification are transitional and young, respectively). Conclusions. The current state of both local populations is stable. To preserve the population of Linum flavum and other rare species (Salvia verticillata, Senecio schvetzovii, Aster amellus, Gypsophila altissima) in the vicinity of the village. In Ukhtinka village it is rational to limit economic activity by organizing the natural monument “Ukhtinskiye stepi”.
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- 2024
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31. Search for pair production of boosted Higgs bosons via vector-boson fusion in the bb¯bb¯ final state using pp collisions at s=13TeV with the ATLAS detector
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G. Aad, E. Aakvaag, B. Abbott, S. Abdelhameed, K. Abeling, N.J. Abicht, S.H. Abidi, M. Aboelela, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, B.S. Acharya, A. Ackermann, C. Adam Bourdarios, L. Adamczyk, S.V. Addepalli, M.J. Addison, J. Adelman, A. Adiguzel, T. Adye, A.A. Affolder, Y. Afik, M.N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, A. Ahmad, F. Ahmadov, W.S. Ahmed, S. Ahuja, X. Ai, G. Aielli, A. Aikot, M. Ait Tamlihat, B. Aitbenchikh, M. Akbiyik, T.P.A. Åkesson, A.V. Akimov, D. Akiyama, N.N. Akolkar, S. Aktas, K. Al Khoury, G.L. Alberghi, J. Albert, P. Albicocco, G.L. Albouy, S. Alderweireldt, Z.L. Alegria, M. Aleksa, I.N. Aleksandrov, C. Alexa, T. Alexopoulos, F. Alfonsi, M. Algren, M. Alhroob, B. Ali, H.M.J. Ali, S. Ali, S.W. Alibocus, M. Aliev, G. Alimonti, W. Alkakhi, C. Allaire, B.M.M. Allbrooke, J.F. Allen, C.A. Allendes Flores, P.P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, Z.M.K. Alsolami, M. Alvarez Estevez, A. Alvarez Fernandez, M. Alves Cardoso, M.G. Alviggi, M. Aly, Y. Amaral Coutinho, A. Ambler, C. Amelung, M. Amerl, C.G. Ames, D. Amidei, K.J. Amirie, S.P. Amor Dos Santos, K.R. Amos, S. An, V. Ananiev, C. Anastopoulos, T. Andeen, J.K. Anders, A.C. Anderson, S.Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A.V. Anisenkov, A. Annovi, C. Antel, E. Antipov, M. Antonelli, F. Anulli, M. Aoki, T. Aoki, M.A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, S.J. Arbiol Val, C. Arcangeletti, A.T.H. Arce, E. Arena, J-F. Arguin, S. Argyropoulos, J.-H. Arling, O. Arnaez, H. Arnold, G. Artoni, H. Asada, K. Asai, S. Asai, N.A. Asbah, R.A. Ashby Pickering, K. Assamagan, R. Astalos, K.S.V. Astrand, S. Atashi, R.J. Atkin, M. Atkinson, H. Atmani, P.A. Atmasiddha, K. Augsten, S. Auricchio, A.D. Auriol, V.A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, T.M. Baer, P. Bagnaia, M. Bahmani, D. Bahner, K. Bai, J.T. Baines, L. Baines, O.K. Baker, E. Bakos, D. Bakshi Gupta, L.E. Balabram Filho, V. Balakrishnan, R. Balasubramanian, E.M. Baldin, P. Balek, E. Ballabene, F. Balli, L.M. Baltes, W.K. Balunas, J. Balz, I. Bamwidhi, E. Banas, M. Bandieramonte, A. Bandyopadhyay, S. Bansal, L. Barak, M. Barakat, E.L. Barberio, D. Barberis, M. Barbero, M.Z. Barel, K.N. Barends, T. Barillari, M-S. Barisits, T. Barklow, P. Baron, D.A. Baron Moreno, A. Baroncelli, G. Barone, A.J. Barr, J.D. Barr, F. Barreiro, J. Barreiro Guimarães da Costa, U. Barron, M.G. Barros Teixeira, S. Barsov, F. Bartels, R. Bartoldus, A.E. Barton, P. Bartos, A. Basan, M. Baselga, A. Bassalat, M.J. Basso, S. Bataju, R. Bate, R.L. Bates, S. Batlamous, B. Batool, M. Battaglia, D. Battulga, M. Bauce, M. Bauer, P. Bauer, L.T. Bazzano Hurrell, J.B. Beacham, T. Beau, J.Y. Beaucamp, P.H. Beauchemin, P. Bechtle, H.P. Beck, K. Becker, A.J. Beddall, V.A. Bednyakov, C.P. Bee, L.J. Beemster, T.A. Beermann, M. Begalli, M. Begel, A. Behera, J.K. Behr, J.F. Beirer, F. Beisiegel, M. Belfkir, G. Bella, L. Bellagamba, A. Bellerive, P. Bellos, K. Beloborodov, D. Benchekroun, F. Bendebba, Y. Benhammou, K.C. Benkendorfer, L. Beresford, M. Beretta, E. Bergeaas Kuutmann, N. Berger, B. Bergmann, J. Beringer, G. Bernardi, C. Bernius, F.U. Bernlochner, F. Bernon, A. Berrocal Guardia, T. Berry, P. Berta, A. Berthold, S. Bethke, A. Betti, A.J. Bevan, N.K. Bhalla, S. Bhatta, D.S. Bhattacharya, P. Bhattarai, K.D. Bhide, V.S. Bhopatkar, R.M. Bianchi, G. Bianco, O. Biebel, R. Bielski, M. Biglietti, C.S. Billingsley, M. Bindi, A. Bingul, C. Bini, A. Biondini, G.A. Bird, M. Birman, M. Biros, S. Biryukov, T. Bisanz, E. Bisceglie, J.P. Biswal, D. Biswas, I. Bloch, A. Blue, U. Blumenschein, J. Blumenthal, V.S. Bobrovnikov, M. Boehler, B. Boehm, D. Bogavac, A.G. Bogdanchikov, C. Bohm, V. Boisvert, P. Bokan, T. Bold, M. Bomben, M. Bona, M. Boonekamp, C.D. Booth, A.G. Borbély, I.S. Bordulev, H.M. Borecka-Bielska, G. Borissov, D. Bortoletto, D. Boscherini, M. Bosman, J.D. Bossio Sola, K. 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Zhuang, K. Zhukov, N.I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T.G. Zorbas, O. Zormpa, W. Zou, and L. Zwalinski
- Subjects
Physics ,QC1-999 - Abstract
A search for Higgs boson pair production via vector-boson fusion is performed in the Lorentz-boosted regime, where a Higgs boson candidate is reconstructed as a single large-radius jet, using 140 fb−1 of proton–proton collision data at s=13 TeV recorded by the ATLAS detector at the Large Hadron Collider. Only Higgs boson decays into bottom quark pairs are considered. The search is particularly sensitive to the quartic coupling between two vector bosons and two Higgs bosons relative to its Standard Model prediction, κ2V. This study constrains κ2V to 0.55
- Published
- 2024
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32. Measurement of the polarizations of prompt and non-prompt Image 1 and ψ(2S) mesons produced in pp collisions at s=13TeV
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Pozdnyakov, Y. Rath, W. Redjeb, F. Rehm, H. Reithler, V. Sarkisovi, A. Schmidt, A. Sharma, J.L. Spah, A. Stein, F. Torres Da Silva De Araujo, S. Wiedenbeck, S. Zaleski, C. Dziwok, G. Flügge, T. Kress, A. Nowack, O. Pooth, A. Stahl, T. Ziemons, A. Zotz, H. Aarup Petersen, M. Aldaya Martin, J. Alimena, S. Amoroso, Y. An, J. Bach, S. Baxter, M. Bayatmakou, H. Becerril Gonzalez, O. Behnke, A. Belvedere, S. Bhattacharya, F. Blekman, K. Borras, A. Campbell, A. Cardini, C. Cheng, F. Colombina, M. De Silva, G. Eckerlin, D. Eckstein, L.I. Estevez Banos, O. Filatov, E. Gallo, A. Geiser, V. Guglielmi, M. Guthoff, A. Hinzmann, L. Jeppe, B. Kaech, M. Kasemann, C. Kleinwort, R. Kogler, M. Komm, D. Krücker, W. Lange, D. Leyva Pernia, K. Lipka, W. Lohmann, F. Lorkowski, R. Mankel, I.-A. Melzer-Pellmann, M. Mendizabal Morentin, A.B. Meyer, G. Milella, K. Moral Figueroa, A. Mussgiller, L.P. Nair, J. Niedziela, A. Nürnberg, Y. Otarid, J. Park, E. Ranken, A. Raspereza, D. Rastorguev, J. Rübenach, L. 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Maeshima, C. Mantilla, D. Mason, P. McBride, P. Merkel, S. Mrenna, S. Nahn, J. Ngadiuba, D. Noonan, S. Norberg, V. Papadimitriou, N. Pastika, K. Pedro, C. Pena, F. Ravera, A. Reinsvold Hall, L. Ristori, M. Safdari, E. Sexton-Kennedy, N. Smith, A. Soha, L. Spiegel, S. Stoynev, J. Strait, L. Taylor, S. Tkaczyk, N.V. Tran, L. Uplegger, E.W. Vaandering, I. Zoi, C. Aruta, P. Avery, D. Bourilkov, P. Chang, V. Cherepanov, R.D. Field, E. Koenig, M. Kolosova, J. Konigsberg, A. Korytov, K. Matchev, N. Menendez, G. Mitselmakher, K. Mohrman, A. Muthirakalayil Madhu, N. Rawal, S. Rosenzweig, Y. Takahashi, T. Adams, A. Al Kadhim, A. Askew, S. Bower, R. Habibullah, V. Hagopian, R. Hashmi, R.S. Kim, T. Kolberg, G. Martinez, H. Prosper, P.R. Prova, M. Wulansatiti, R. Yohay, B. Alsufyani, M.M. Baarmand, S. Butalla, S. Das, T. Elkafrawy, M. Hohlmann, M. Rahmani, E. Yanes, M.R. Adams, A. Baty, C. Bennett, R. Cavanaugh, R. Escobar Franco, O. Evdokimov, C.E. Gerber, M. Hawksworth, A. Hingrajiya, D.J. Hofman, J.h. Lee, D.S. Lemos, A.H. Merrit, C. Mills, S. Nanda, G. Oh, B. Ozek, D. Pilipovic, R. Pradhan, E. Prifti, T. Roy, S. Rudrabhatla, M.B. Tonjes, N. Varelas, M.A. Wadud, Z. Ye, M. Alhusseini, D. Blend, K. Dilsiz, L. Emediato, G. Karaman, O.K. Köseyan, J.-P. Merlo, A. Mestvirishvili, O. Neogi, H. Ogul, Y. Onel, A. Penzo, C. Snyder, E. Tiras, B. Blumenfeld, L. Corcodilos, J. Davis, A.V. Gritsan, L. Kang, S. Kyriacou, P. Maksimovic, M. Roguljic, J. Roskes, S. Sekhar, M. Swartz, A. Abreu, L.F. Alcerro Alcerro, J. Anguiano, S. Arteaga Escatel, P. Baringer, A. Bean, Z. Flowers, D. Grove, J. King, G. Krintiras, M. Lazarovits, C. Le Mahieu, J. Marquez, M. Murray, M. Nickel, M. Pitt, S. Popescu, C. Rogan, C. Royon, R. Salvatico, S. Sanders, C. Smith, G. Wilson, B. Allmond, R. Gujju Gurunadha, A. Ivanov, K. Kaadze, Y. Maravin, J. Natoli, D. Roy, G. Sorrentino, A. Baden, A. Belloni, J. Bistany-riebman, Y.M. Chen, S.C. Eno, N.J. Hadley, S. Jabeen, R.G. Kellogg, T. Koeth, B. Kronheim, Y. Lai, S. Lascio, A.C. Mignerey, S. Nabili, C. Palmer, C. Papageorgakis, M.M. Paranjpe, L. Wang, J. Bendavid, I.A. Cali, P.c. Chou, M. D'Alfonso, J. Eysermans, C. Freer, G. Gomez-Ceballos, M. Goncharov, G. Grosso, P. Harris, D. Hoang, D. Kovalskyi, J. Krupa, L. Lavezzo, Y.-J. Lee, K. Long, C. Mcginn, A. Novak, C. Paus, C. Roland, G. Roland, S. Rothman, G.S.F. Stephans, B. Wyslouch, T.J. Yang, B. Crossman, B.M. Joshi, C. Kapsiak, M. Krohn, D. Mahon, J. Mans, B. Marzocchi, R. Rusack, R. Saradhy, N. Strobbe, K. Bloom, D.R. Claes, G. Haza, J. Hossain, C. Joo, I. Kravchenko, J.E. Siado, W. Tabb, A. Vagnerini, A. Wightman, F. Yan, D. Yu, H. Bandyopadhyay, L. Hay, H.w. Hsia, I. Iashvili, A. Kalogeropoulos, A. Kharchilava, M. Morris, D. Nguyen, S. Rappoccio, H. Rejeb Sfar, A. Williams, P. Young, G. Alverson, E. Barberis, J. Bonilla, J. Dervan, Y. Haddad, Y. Han, A. Krishna, J. Li, M. Lu, G. Madigan, R. Mccarthy, D.M. Morse, V. Nguyen, T. Orimoto, A. Parker, L. Skinnari, D. Wood, J. Bueghly, S. Dittmer, K.A. Hahn, Y. Liu, Y. Miao, D.G. Monk, M.H. Schmitt, A. Taliercio, M. Velasco, G. Agarwal, R. Band, R. Bucci, S. Castells, A. Das, R. Goldouzian, M. Hildreth, K.W. Ho, K. Hurtado Anampa, T. Ivanov, C. Jessop, K. Lannon, J. Lawrence, N. Loukas, L. Lutton, J. Mariano, N. Marinelli, I. Mcalister, T. McCauley, C. Mcgrady, C. Moore, Y. Musienko, H. Nelson, M. Osherson, A. Piccinelli, R. Ruchti, A. Townsend, Y. Wan, M. Wayne, H. Yockey, M. Zarucki, L. Zygala, A. Basnet, B. Bylsma, M. Carrigan, L.S. Durkin, C. Hill, M. Joyce, M. Nunez Ornelas, K. Wei, B.L. Winer, B.R. Yates, H. Bouchamaoui, P. Das, G. Dezoort, P. Elmer, A. Frankenthal, B. Greenberg, N. Haubrich, K. Kennedy, G. Kopp, S. Kwan, D. Lange, A. Loeliger, D. Marlow, I. Ojalvo, J. Olsen, A. Shevelev, D. Stickland, C. Tully, S. Malik, A.S. Bakshi, S. Chandra, R. Chawla, A. Gu, L. Gutay, M. Jones, A.W. Jung, A.M. Koshy, M. Liu, G. Negro, N. Neumeister, G. Paspalaki, S. Piperov, V. Scheurer, J.F. Schulte, M. Stojanovic, J. Thieman, A.K. Virdi, F. Wang, W. Xie, J. Dolen, N. Parashar, A. Pathak, D. Acosta, T. Carnahan, K.M. Ecklund, P.J. Fernández Manteca, S. Freed, P. Gardner, F.J.M. Geurts, W. Li, J. Lin, O. Miguel Colin, B.P. Padley, R. Redjimi, J. Rotter, E. Yigitbasi, Y. Zhang, A. Bodek, P. de Barbaro, R. Demina, J.L. Dulemba, A. Garcia-Bellido, O. Hindrichs, A. Khukhunaishvili, N. Parmar, P. Parygin, E. Popova, R. Taus, B. Chiarito, J.P. Chou, S.V. Clark, D. Gadkari, Y. Gershtein, E. Halkiadakis, M. Heindl, C. Houghton, D. Jaroslawski, S. Konstantinou, I. Laflotte, A. Lath, R. Montalvo, K. Nash, J. Reichert, H. Routray, P. Saha, S. Salur, S. Schnetzer, S. Somalwar, R. Stone, S.A. Thayil, S. Thomas, J. Vora, H. Wang, D. Ally, A.G. Delannoy, S. Fiorendi, S. Higginbotham, T. Holmes, A.R. Kanuganti, N. Karunarathna, L. Lee, E. Nibigira, S. Spanier, D. Aebi, M. Ahmad, T. Akhter, O. Bouhali, R. Eusebi, J. Gilmore, T. Huang, T. Kamon, S. Luo, R. Mueller, D. Overton, D. Rathjens, A. Safonov, N. Akchurin, J. Damgov, N. Gogate, V. Hegde, A. Hussain, Y. Kazhykarim, K. Lamichhane, A. Mankel, T. Peltola, I. Volobouev, E. Appelt, Y. Chen, S. Greene, A. Gurrola, W. Johns, R. Kunnawalkam Elayavalli, A. Melo, F. Romeo, P. Sheldon, S. Tuo, J. Velkovska, J. Viinikainen, B. Cardwell, B. Cox, J. Hakala, R. Hirosky, A. Ledovskoy, C. Neu, P.E. Karchin, A. Aravind, K. Black, T. Bose, S. Dasu, I. De Bruyn, P. Everaerts, C. Galloni, H. He, M. Herndon, A. Herve, C.K. Koraka, A. Lanaro, R. Loveless, J. Madhusudanan Sreekala, A. Mallampalli, A. Mohammadi, G. Parida, L. Pétré, D. Pinna, A. Savin, V. Shang, W.H. Smith, D. Teague, H.F. Tsoi, W. Vetens, A. Warden, S. Afanasiev, V. Alexakhin, V. Andreev, Yu. Andreev, T. Aushev, M. Azarkin, A. Babaev, V. Blinov, E. Boos, V. Borshch, D. Budkouski, V. Bunichev, V. Chekhovsky, R. Chistov, M. Danilov, A. Dermenev, T. Dimova, D. Druzhkin, M. Dubinin, L. Dudko, A. Ershov, G. Gavrilov, V. Gavrilov, S. Gninenko, V. Golovtcov, N. Golubev, I. Golutvin, I. Gorbunov, A. Gribushin, Y. Ivanov, V. Kachanov, V. Karjavine, A. Karneyeu, V. Kim, M. Kirakosyan, D. Kirpichnikov, M. Kirsanov, V. Klyukhin, O. Kodolova, D. Konstantinov, V. Korenkov, A. Kozyrev, N. Krasnikov, A. Lanev, P. Levchenko, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, V. Oreshkin, V. Palichik, V. Perelygin, S. Petrushanko, S. Polikarpov, V. Popov, O. Radchenko, M. Savina, V. Savrin, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, A. Snigirev, D. Sosnov, V. Sulimov, A. Terkulov, O. Teryaev, I. Tlisova, A. Toropin, L. Uvarov, A. Uzunian, A. Vorobyev, N. Voytishin, B.S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin
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CMS ,Quarkonium production ,Quarkonium polarization ,Physics ,QC1-999 - Abstract
The polarizations of prompt and non-prompt Image 2 and ψ(2S) mesons are measured in proton-proton collisions at s=13 TeV, using data samples collected by the CMS experiment in 2017 and 2018, corresponding to a total integrated luminosity of 103.3fb−1. Based on the analysis of the dimuon decay angular distributions in the helicity frame, the polar anisotropy, λϑ, is measured as a function of the transverse momentum, pT, of the charmonium states, in the 25–120 and 20–100 GeV ranges for the Image 2 and ψ(2S), respectively. The non-prompt polarizations agree with predictions based on the hypothesis that, for pT≳25GeV, the non-prompt Image 2 and ψ(2S) are predominantly produced in two-body B meson decays. The prompt results clearly exclude strong transverse polarizations, even for pT exceeding 30 times the Image 2 mass, where λϑ tends to an asymptotic value around 0.3. Taken together with previous measurements, by CMS and LHCb at s=7 TeV, the prompt polarizations show a significant variation with pT, at low pT.
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- 2024
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33. A METHOD FOR CALCULATING THE THICKNESS OF A RECTANGULAR MEMBRANE FOR A SEMICONDUCTOR PRESSURE PIEZORESISTIVE TRANSDUCER TAKING INTO ACCOUNT NONLINEAR BENDING
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V.S. Volkov, S.N. Bazykin, and A.A. Trofimov
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semiconductor pressure transducer ,rectangular silicon membrane ,membrane thickness ,non-linear bending ,non-linearity error ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
Background. The sensing elements of semiconductor pressure transducers are traditionally made in the form of round and square membranes, while the use of other geometric shapes, for example, rectangular, allows you to reduce the dimensions while maintaining high sensitivity. The aim of the work is to study the effect of nonlinear bending of a rectangular membrane for piezoresistive transducer under the influence of measured pressure on the output signal and to determine the error of nonlinearity. Materials and methods. Existing methods for determining the membrane thickness of pressure transducers take into account only linear bending, and the well-known equation of nonlinear membrane bending has no analytical solution and was previously solved by an approximate graphical method, therefore, a method for determining the thickness of a rectangular silicon membrane of a strain gauge was developed taking into account nonlinear bending according to the criterion of mechanical strength by solving the membrane deflection equation numerically in the MathCad program. Results. A technique has been developed to calculate the thickness of a rectangular flat membrane of a silicon pressure strain converter, and the dependence of the output voltage of the bridge circuit on the applied pressure has been constructed, taking into account the linear and nonlinear bending of the rectangular membrane. Conclusions. Using the developed technique, the error of the nonlinearity of the output signal was determined when taking into account only the linear bending of the membrane, it was shown that this error is 3 %, which does not meet modern requirements for pressure measuring instruments and requires the development of constructive solutions to reduce this error.
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- 2024
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34. Fiber-optic system for measuring temperature of rigid deformable media
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T.I. Murashkina, E.A. Badeeva, S.N. Bazykin, E.A. Dudorov, and V.A. Badeev
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information-measuring system ,temperature ,fiber-optic sensor ,nuclear power plants ,protective shell ,rigid deformable medium ,micro-optical system ,block diagram ,Technology - Abstract
Background. Currently, during the construction of new nuclear power plants (NPP), its service life has been extended to 60 years, which requires the modernization of information and measurement systems that control many parameters of the dome of the NPP, including temperature parameters. The safety of the NPP as a whole depends on the accuracy of measuring the temperature of the cement base of the dome of the NPP. The measuring instruments used should not create additional electromagnetic interference during measurements, therefore, the use of fiber-optic measuring instruments is considered more preferable. The object of the study is a fiber-optic information and measurement system (FOIMS) of the stress-strain state of the protective shell of the NPP. The subject of the research is scientific and technical solutions of fiber-optic temperature sensors (FOTS) with a compensation channel, which are part of the nuclear power plant protective shell, installed in rigid deformable environments. The purpose of the study is to develop constructive, technological and structural solutions of the FOTS, providing the possibility of its application in rigid deformable environments with minimal dynamic error due to inertial processes in the sensor housing. Materials and methods. The main approach to achieve this goal is to adapt the previously developed technical solutions of the FOTS to the measurement conditions in rigid deformable media, which are the supporting parts of the dome of the NPP. Results. The structure is determined and the design of the FOTS with a compensation channel of the reflective type is developed. The relations between the coefficients of thermal expansion of the materials from which the structural elements of the FOTS are made, providing a reduction in the deformation of the protective housing and the sensitive element of the FOTS when the temperature changes, are determined. The initial distance between the mirror surface and the ends of the optical fibers located opposite the mirror surface, at which the sensor conversion function is linear, and the maximum sensitivity (up to 30%) and the modulation depth of the optical signal conversion (up to 50%) are determined. Conclusions. The design, technological and structural solutions of the FOTS with a reflective type compensation channel for the FOIMS of the protective shell of NPP placed in rigid deformable environments have been developed. The use of the developed fiber-optic temperature sensor will provide: reduction of internal stresses inside the deformable environment of the protective shell when its temperature changes; reduction of the dynamic error of temperature measurement; increase in the accuracy of measuring the temperature of the protective shell.
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- 2024
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35. Multi-center external validation of an automated method segmenting and differentiating atypical lipomatous tumors from lipomas using radiomics and deep-learning on MRIResearch in context
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D.J. Spaanderman, S.N. Hakkesteegt, D.F. Hanff, A.R.W. Schut, L.M. Schiphouwer, M. Vos, C. Messiou, S.J. Doran, R.L. Jones, A.J. Hayes, L. Nardo, Y.G. Abdelhafez, A.W. Moawad, K.M. Elsayes, S. Lee, T.M. Link, W.J. Niessen, G.J.L.H. van Leenders, J.J. Visser, S. Klein, D.J. Grünhagen, C. Verhoef, and M.P.A. Starmans
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Lipomatous tumors ,Radiomics ,External validation ,Prospective validation ,Deep learning-based segmentation ,Magnetic resonance imaging ,Medicine (General) ,R5-920 - Abstract
Summary: Background: As differentiating between lipomas and atypical lipomatous tumors (ALTs) based on imaging is challenging and requires biopsies, radiomics has been proposed to aid the diagnosis. This study aimed to externally and prospectively validate a radiomics model differentiating between lipomas and ALTs on MRI in three large, multi-center cohorts, and extend it with automatic and minimally interactive segmentation methods to increase clinical feasibility. Methods: Three study cohorts were formed, two for external validation containing data from medical centers in the United States (US) collected from 2008 until 2018 and the United Kingdom (UK) collected from 2011 until 2017, and one for prospective validation consisting of data collected from 2020 until 2021 in the Netherlands. Patient characteristics, MDM2 amplification status, and MRI scans were collected. An automatic segmentation method was developed to segment all tumors on T1-weighted MRI scans of the validation cohorts. Segmentations were subsequently quality scored. In case of insufficient quality, an interactive segmentation method was used. Radiomics performance was evaluated for all cohorts and compared to two radiologists. Findings: The validation cohorts included 150 (54% ALT), 208 (37% ALT), and 86 patients (28% ALT) from the US, UK and NL. Of the 444 cases, 78% were automatically segmented. For 22%, interactive segmentation was necessary due to insufficient quality, with only 3% of all patients requiring manual adjustment. External validation resulted in an AUC of 0.74 (95% CI: 0.66, 0.82) in US data and 0.86 (0.80, 0.92) in UK data. Prospective validation resulted in an AUC of 0.89 (0.83, 0.96). The radiomics model performed similar to the two radiologists (US: 0.79 and 0.76, UK: 0.86 and 0.86, NL: 0.82 and 0.85). Interpretation: The radiomics model extended with automatic and minimally interactive segmentation methods accurately differentiated between lipomas and ALTs in two large, multi-center external cohorts, and in prospective validation, performing similar to expert radiologists, possibly limiting the need for invasive diagnostics. Funding: Hanarth fonds.
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- 2024
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36. KS0 and Λ(Λ‾) two-particle femtoscopic correlations in PbPb collisions at sNN=5.02TeV
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A. Tumasyan, W. Adam, J.W. Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, P.S. Hussain, M. Jeitler, N. Krammer, L. Lechner, D. Liko, I. Mikulec, P. Paulitsch, J. Schieck, R. Schöfbeck, D. Schwarz, M. Sonawane, S. Templ, W. Waltenberger, C.-E. Wulz, M.R. Darwish, T. Janssen, T. Kello, H. Rejeb Sfar, P. Van Mechelen, E.S. Bols, J. D'Hondt, A. De Moor, M. Delcourt, H. El Faham, S. Lowette, A. Morton, D. Müller, A.R. Sahasransu, S. Tavernier, W. Van Doninck, S. Van Putte, D. Vannerom, B. Clerbaux, G. De Lentdecker, L. Favart, D. Hohov, J. Jaramillo, K. Lee, M. Mahdavikhorrami, I. Makarenko, A. Malara, S. Paredes, L. Pétré, N. Postiau, L. Thomas, M. Vanden Bemden, C. Vander Velde, P. Vanlaer, D. Dobur, J. Knolle, L. Lambrecht, G. Mestdach, C. Rendón, A. Samalan, K. Skovpen, M. Tytgat, N. Van Den Bossche, B. Vermassen, L. Wezenbeek, A. Benecke, G. Bruno, F. Bury, C. Caputo, P. David, C. Delaere, I.S. Donertas, A. Giammanco, K. Jaffel, Sa. Jain, V. Lemaitre, K. Mondal, A. Taliercio, T.T. Tran, P. Vischia, S. Wertz, G.A. Alves, E. Coelho, C. Hensel, A. Moraes, P. Rebello Teles, W.L. Aldá Júnior, M. Alves Gallo Pereira, M. Barroso Ferreira Filho, H. Brandao Malbouisson, W. Carvalho, J. Chinellato, E.M. Da Costa, G.G. Da Silveira, D. De Jesus Damiao, V. Dos Santos Sousa, S. Fonseca De Souza, J. Martins, C. Mora Herrera, K. Mota Amarilo, L. Mundim, H. Nogima, A. Santoro, S.M. Silva Do Amaral, A. Sznajder, M. Thiel, A. Vilela Pereira, C.A. Bernardes, L. Calligaris, T.R. Fernandez Perez Tomei, E.M. Gregores, P.G. Mercadante, S.F. Novaes, Sandra S. Padula, A. Aleksandrov, G. Antchev, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov, M. Shopova, G. Sultanov, A. Dimitrov, T. Ivanov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Thakur, T. Cheng, T. Javaid, M. Mittal, L. Yuan, M. Ahmad, G. Bauer, Z. Hu, S. Lezki, K. Yi, G.M. Chen, H.S. Chen, M. Chen, F. Iemmi, C.H. Jiang, A. Kapoor, H. Liao, Z.-A. Liu, V. Milosevic, F. Monti, R. Sharma, J. Tao, J. Thomas-Wilsker, J. Wang, H. Zhang, J. Zhao, A. Agapitos, Y. An, Y. Ban, A. Levin, C. Li, Q. Li, X. Lyu, Y. Mao, S.J. Qian, X. Sun, D. Wang, J. Xiao, H. Yang, M. Lu, Z. You, N. Lu, X. Gao, D. Leggat, H. Okawa, Y. Zhang, Z. Lin, C. Lu, M. Xiao, C. Avila, D.A. Barbosa Trujillo, A. Cabrera, C. Florez, J. Fraga, J. Mejia Guisao, F. Ramirez, M. Rodriguez, J.D. Ruiz Alvarez, D. Giljanovic, N. Godinovic, D. Lelas, I. Puljak, Z. Antunovic, M. Kovac, T. Sculac, V. Brigljevic, B.K. Chitroda, D. Ferencek, S. Mishra, M. Roguljic, A. Starodumov, T. Susa, A. Attikis, K. Christoforou, S. Konstantinou, J. Mousa, C. Nicolaou, F. Ptochos, P.A. Razis, H. Rykaczewski, H. Saka, A. Stepennov, M. Finger, M. Finger, Jr., A. Kveton, E. Ayala, E. Carrera Jarrin, A.A. Abdelalim, E. Salama, M.A. Mahmoud, Y. Mohammed, S. Bhowmik, R.K. Dewanjee, K. Ehataht, M. Kadastik, T. Lange, S. Nandan, C. Nielsen, J. Pata, M. Raidal, L. Tani, C. Veelken, P. Eerola, H. Kirschenmann, K. Osterberg, M. Voutilainen, S. Bharthuar, E. Brücken, F. Garcia, J. Havukainen, M.S. Kim, R. Kinnunen, T. Lampén, K. Lassila-Perini, S. Lehti, T. Lindén, M. Lotti, L. Martikainen, M. Myllymäki, M.m. Rantanen, H. Siikonen, E. Tuominen, J. Tuominiemi, P. Luukka, H. Petrow, T. Tuuva, C. Amendola, M. Besancon, F. Couderc, M. Dejardin, D. Denegri, J.L. Faure, F. Ferri, S. Ganjour, P. Gras, G. Hamel de Monchenault, V. Lohezic, J. Malcles, J. Rander, A. Rosowsky, M.Ö. Sahin, A. Savoy-Navarro, P. Simkina, M. Titov, C. Baldenegro Barrera, F. Beaudette, A. Buchot Perraguin, P. Busson, A. Cappati, C. Charlot, F. Damas, O. Davignon, B. Diab, G. Falmagne, B.A. Fontana Santos Alves, S. Ghosh, R. Granier de Cassagnac, A. Hakimi, B. Harikrishnan, G. Liu, J. Motta, M. Nguyen, C. Ochando, L. Portales, R. Salerno, U. Sarkar, J.B. Sauvan, Y. Sirois, A. Tarabini, E. Vernazza, A. Zabi, A. Zghiche, J.-L. Agram, J. Andrea, D. Apparu, D. Bloch, G. Bourgatte, J.-M. Brom, E.C. Chabert, C. Collard, D. Darej, U. 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Benelli, B. Burkle, X. Coubez, D. Cutts, M. Hadley, U. Heintz, J.M. Hogan, T. Kwon, G. Landsberg, K.T. Lau, D. Li, J. Luo, M. Narain, N. Pervan, S. Sagir, F. Simpson, E. Usai, W.Y. Wong, X. Yan, D. Yu, W. Zhang, S. Abbott, J. Bonilla, C. Brainerd, R. Breedon, M. Calderon De La Barca Sanchez, M. Chertok, J. Conway, P.T. Cox, R. Erbacher, G. Haza, F. Jensen, O. Kukral, G. Mocellin, M. Mulhearn, D. Pellett, B. Regnery, Y. Yao, F. Zhang, M. Bachtis, R. Cousins, A. Datta, J. Hauser, M. Ignatenko, M.A. Iqbal, T. Lam, E. Manca, W.A. Nash, D. Saltzberg, B. Stone, V. Valuev, R. Clare, J.W. Gary, M. Gordon, G. Hanson, O.R. Long, N. Manganelli, W. Si, S. Wimpenny, J.G. Branson, S. Cittolin, S. Cooperstein, D. Diaz, J. Duarte, R. Gerosa, L. Giannini, J. Guiang, R. Kansal, V. Krutelyov, R. Lee, J. Letts, M. Masciovecchio, F. Mokhtar, M. Pieri, M. Quinnan, B.V. Sathia Narayanan, V. Sharma, M. Tadel, E. Vourliotis, F. Würthwein, Y. Xiang, A. Yagil, N. Amin, C. Campagnari, M. Citron, G. Collura, A. Dorsett, J. Incandela, M. Kilpatrick, A.J. Li, P. Masterson, H. Mei, M. Oshiro, J. Richman, U. Sarica, R. Schmitz, F. Setti, J. Sheplock, P. Siddireddy, D. Stuart, S. Wang, A. Bornheim, O. Cerri, I. Dutta, A. Latorre, J.M. Lawhorn, J. Mao, H.B. Newman, T.Q. Nguyen, M. Spiropulu, J.R. Vlimant, C. Wang, S. Xie, R.Y. Zhu, J. Alison, S. An, M.B. Andrews, P. Bryant, V. Dutta, T. Ferguson, A. Harilal, C. Liu, T. Mudholkar, S. Murthy, M. Paulini, A. Roberts, A. Sanchez, W. Terrill, J.P. Cumalat, W.T. Ford, A. Hassani, G. Karathanasis, E. MacDonald, F. Marini, A. Perloff, C. Savard, N. Schonbeck, K. Stenson, K.A. Ulmer, S.R. Wagner, N. Zipper, J. Alexander, S. Bright-Thonney, X. Chen, D.J. Cranshaw, J. Fan, X. Fan, D. Gadkari, S. Hogan, J. Monroy, J.R. Patterson, J. Reichert, M. Reid, A. Ryd, J. Thom, P. Wittich, R. Zou, M. Albrow, M. Alyari, G. Apollinari, A. Apresyan, L.A.T. Bauerdick, D. Berry, J. Berryhill, P.C. Bhat, K. Burkett, J.N. Butler, A. Canepa, G.B. Cerati, H.W.K. Cheung, F. Chlebana, K.F. Di Petrillo, J. Dickinson, V.D. Elvira, Y. Feng, J. Freeman, A. Gandrakota, Z. Gecse, L. Gray, D. Green, S. Grünendahl, D. Guerrero, O. Gutsche, R.M. Harris, R. Heller, T.C. Herwig, J. Hirschauer, L. Horyn, B. Jayatilaka, S. Jindariani, M. Johnson, U. Joshi, T. Klijnsma, B. Klima, K.H.M. Kwok, S. Lammel, D. Lincoln, R. Lipton, T. Liu, C. Madrid, K. Maeshima, C. Mantilla, D. Mason, P. McBride, P. Merkel, S. Mrenna, S. Nahn, J. Ngadiuba, D. Noonan, S. Norberg, V. Papadimitriou, N. Pastika, K. Pedro, C. Pena, F. Ravera, A. Reinsvold Hall, L. Ristori, E. Sexton-Kennedy, N. Smith, A. Soha, L. Spiegel, S. Stoynev, J. Strait, L. Taylor, S. Tkaczyk, N.V. Tran, L. Uplegger, E.W. Vaandering, I. Zoi, P. Avery, D. Bourilkov, L. Cadamuro, P. Chang, V. Cherepanov, R.D. Field, E. Koenig, M. Kolosova, J. Konigsberg, A. Korytov, E. Kuznetsova, K.H. Lo, K. Matchev, N. Menendez, G. Mitselmakher, A. Muthirakalayil Madhu, N. Rawal, D. Rosenzweig, S. Rosenzweig, K. Shi, Z. Wu, T. Adams, A. Askew, N. Bower, R. Habibullah, V. Hagopian, T. Kolberg, G. Martinez, H. Prosper, O. Viazlo, M. Wulansatiti, R. Yohay, J. Zhang, M.M. Baarmand, S. Butalla, T. Elkafrawy, M. Hohlmann, R. Kumar Verma, M. Rahmani, F. Yumiceva, M.R. Adams, R. Cavanaugh, S. Dittmer, O. Evdokimov, C.E. Gerber, D.J. Hofman, D.S. Lemos, A.H. Merrit, C. Mills, G. Oh, T. Roy, S. Rudrabhatla, M.B. Tonjes, N. Varelas, X. Wang, Z. Ye, M. Alhusseini, K. Dilsiz, L. Emediato, G. Karaman, O.K. Köseyan, J.-P. Merlo, A. Mestvirishvili, J. Nachtman, O. Neogi, H. Ogul, Y. Onel, A. Penzo, C. Snyder, E. Tiras, O. Amram, B. Blumenfeld, L. Corcodilos, J. Davis, A.V. Gritsan, S. Kyriacou, P. Maksimovic, J. Roskes, S. Sekhar, M. Swartz, T.Á. Vámi, A. Abreu, L.F. Alcerro Alcerro, J. Anguiano, P. Baringer, A. Bean, Z. Flowers, J. King, G. Krintiras, M. Lazarovits, C. Le Mahieu, C. Lindsey, J. Marquez, N. Minafra, M. Murray, M. Nickel, C. Rogan, C. Royon, R. Salvatico, S. Sanders, C. Smith, G. Wilson, B. Allmond, S. Duric, A. Ivanov, K. Kaadze, A. Kalogeropoulos, Y. Maravin, T. Mitchell, A. Modak, K. Nam, D. Roy, F. Rebassoo, D. Wright, E. Adams, A. Baden, O. Baron, A. Belloni, A. Bethani, S.C. Eno, N.J. Hadley, S. Jabeen, R.G. Kellogg, T. Koeth, Y. Lai, S. Lascio, A.C. Mignerey, S. Nabili, C. Palmer, C. Papageorgakis, L. Wang, K. Wong, W. Busza, I.A. Cali, Y. Chen, M. D'Alfonso, J. Eysermans, C. Freer, G. Gomez-Ceballos, M. Goncharov, P. Harris, M. Hu, D. Kovalskyi, J. Krupa, Y.-J. Lee, K. Long, C. Mironov, C. Paus, D. Rankin, C. Roland, G. Roland, Z. Shi, G.S.F. Stephans, Z. Wang, B. Wyslouch, T.J. Yang, R.M. Chatterjee, B. Crossman, J. Hiltbrand, B.M. Joshi, C. Kapsiak, M. Krohn, Y. Kubota, D. Mahon, J. Mans, M. Revering, R. Rusack, R. Saradhy, N. Schroeder, N. Strobbe, M.A. Wadud, L.M. Cremaldi, K. Bloom, M. Bryson, D.R. Claes, C. Fangmeier, L. Finco, F. Golf, C. Joo, R. Kamalieddin, I. Kravchenko, I. Reed, J.E. Siado, G.R. Snow, W. Tabb, A. Wightman, F. Yan, A.G. Zecchinelli, G. Agarwal, H. Bandyopadhyay, L. Hay, I. Iashvili, A. Kharchilava, C. McLean, M. Morris, D. Nguyen, J. Pekkanen, S. Rappoccio, A. Williams, G. Alverson, E. Barberis, Y. Haddad, Y. Han, A. Krishna, J. Li, J. Lidrych, G. Madigan, B. Marzocchi, D.M. Morse, V. Nguyen, T. Orimoto, A. Parker, L. Skinnari, A. Tishelman-Charny, T. Wamorkar, B. Wang, A. Wisecarver, D. Wood, J. Bueghly, Z. Chen, A. Gilbert, K.A. Hahn, Y. Liu, N. Odell, M.H. Schmitt, M. Velasco, R. Band, R. Bucci, M. Cremonesi, A. Das, R. Goldouzian, M. Hildreth, K. Hurtado Anampa, C. Jessop, K. Lannon, J. Lawrence, N. Loukas, L. Lutton, J. Mariano, N. Marinelli, I. Mcalister, T. McCauley, C. Mcgrady, K. Mohrman, C. Moore, Y. Musienko, R. Ruchti, A. Townsend, M. Wayne, H. Yockey, M. Zarucki, L. Zygala, B. Bylsma, M. Carrigan, L.S. Durkin, C. Hill, M. Joyce, A. Lesauvage, M. Nunez Ornelas, K. Wei, B.L. Winer, B.R. Yates, F.M. Addesa, P. Das, G. Dezoort, P. Elmer, A. Frankenthal, B. Greenberg, N. Haubrich, S. Higginbotham, G. Kopp, S. Kwan, D. Lange, A. Loeliger, D. Marlow, I. Ojalvo, J. Olsen, D. Stickland, C. Tully, A.S. Bakshi, V.E. Barnes, R. Chawla, S. Das, L. Gutay, M. Jones, A.W. Jung, D. Kondratyev, A.M. Koshy, M. Liu, G. Negro, N. Neumeister, G. Paspalaki, S. Piperov, A. Purohit, J.F. Schulte, M. Stojanovic, J. Thieman, F. Wang, R. Xiao, W. Xie, J. Dolen, N. Parashar, D. Acosta, A. Baty, T. Carnahan, S. Dildick, K.M. Ecklund, P.J. Fernández Manteca, S. Freed, P. Gardner, F.J.M. Geurts, W. Li, B.P. Padley, R. Redjimi, J. Rotter, E. Yigitbasi, A. Bodek, P. de Barbaro, R. Demina, J.L. Dulemba, C. Fallon, A. Garcia-Bellido, O. Hindrichs, A. Khukhunaishvili, P. Parygin, E. Popova, R. Taus, G.P. Van Onsem, K. Goulianos, B. Chiarito, J.P. Chou, Y. Gershtein, E. Halkiadakis, A. Hart, M. Heindl, D. Jaroslawski, O. Karacheban, I. Laflotte, A. Lath, R. Montalvo, K. Nash, M. Osherson, H. Routray, S. Salur, S. Schnetzer, S. Somalwar, R. Stone, S.A. Thayil, S. Thomas, H. Wang, H. Acharya, A.G. Delannoy, S. Fiorendi, T. Holmes, E. Nibigira, S. Spanier, O. Bouhali, M. Dalchenko, A. Delgado, R. Eusebi, J. Gilmore, T. Huang, T. Kamon, S. Luo, S. Malhotra, R. Mueller, D. Overton, D. Rathjens, A. Safonov, N. Akchurin, J. Damgov, V. Hegde, K. Lamichhane, T. Mengke, S. Muthumuni, T. Peltola, I. Volobouev, A. Whitbeck, E. Appelt, S. Greene, A. Gurrola, W. Johns, A. Melo, F. Romeo, P. Sheldon, S. Tuo, J. Velkovska, J. Viinikainen, B. Cardwell, B. Cox, G. Cummings, J. Hakala, R. Hirosky, A. Ledovskoy, A. Li, C. Neu, C.E. Perez Lara, P.E. Karchin, A. Aravind, K. Black, T. Bose, S. Dasu, I. De Bruyn, P. Everaerts, C. Galloni, H. He, M. Herndon, A. Herve, C.K. Koraka, A. Lanaro, R. Loveless, J. Madhusudanan Sreekala, A. Mallampalli, A. Mohammadi, G. Parida, D. Pinna, A. Savin, V. Shang, W.H. Smith, D. Teague, H.F. Tsoi, W. Vetens, A. Warden, S. Afanasiev, V. Andreev, Yu. Andreev, T. Aushev, M. Azarkin, A. Babaev, V. Blinov, E. Boos, V. Borshch, D. Budkouski, M. Chadeeva, V. Chekhovsky, M. Danilov, A. Dermenev, T. Dimova, I. Dremin, V. Epshteyn, A. Ershov, G. Gavrilov, V. Gavrilov, S. Gninenko, V. Golovtcov, N. Golubev, I. Golutvin, I. Gorbunov, A. Gribushin, Y. Ivanov, V. Kachanov, A. Kaminskiy, L. Kardapoltsev, V. Karjavine, A. Karneyeu, L. Khein, V. Kim, M. Kirakosyan, D. Kirpichnikov, M. Kirsanov, O. Kodolova, D. Konstantinov, V. Korenkov, V. Korotkikh, A. Kozyrev, N. Krasnikov, A. Lanev, P. Levchenko, A. Litomin, N. Lychkovskaya, V. Makarenko, A. Malakhov, V. Matveev, V. Murzin, A. Nikitenko, S. Obraztsov, I. Ovtin, V. Palichik, V. Perelygin, S. Petrushanko, V. Popov, O. Radchenko, V. Rusinov, M. Savina, V. Savrin, D. Selivanova, V. Shalaev, S. Shmatov, S. Shulha, Y. Skovpen, S. Slabospitskii, V. Smirnov, A. Snigirev, D. Sosnov, V. Sulimov, E. Tcherniaev, A. Terkulov, O. Teryaev, I. Tlisova, A. Toropin, L. Uvarov, A. Uzunian, I. Vardanyan, A. Vorobyev, N. Voytishin, B.S. Yuldashev, A. Zarubin, I. Zhizhin, and A. Zhokin
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CMS ,Heavy ion ,V0 ,Femtoscopy ,Scattering parameters ,Physics ,QC1-999 - Abstract
Two-particle correlations are presented for KS0, Image 1, and Image 2 strange hadrons as a function of relative momentum in lead-lead collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV. The dataset corresponds to an integrated luminosity of 0.607nb−1 and was collected using the CMS detector at the CERN LHC. These correlations are sensitive to quantum statistics and to final-state interactions between the particles. The source size extracted from the KS0KS0 correlations is found to decrease from 4.6 to 1.6fm in going from central to peripheral collisions. Strong interaction scattering parameters (i.e., scattering length and effective range) are determined from the Image 3 and Image 4 (including their charge conjugates) correlations using the Lednický–Lyuboshitz model and are compared to theoretical and other experimental results.
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- 2024
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37. Radiation-Induced Lymphopenia is a Causal Mediator of Survival After Chemoradiation Therapy for Esophagus Cancer
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Yiqing Chen, MSc, Yan Chu, PhD, Peter S.N. van Rossum, MD, PhD, Clemens Grassberger, PhD, Steven H. Lin, MD, PhD, Radhe Mohan, PhD, and Brian P. Hobbs, PhD
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Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: Radiation-induced lymphopenia (RIL) is common during chemoradiation therapy. Severe lymphopenia is associated with reduced survival. Proton beam therapy (PBT), with its substantially more compact dose distributions, spares circulating lymphocytes and immune organs at risk to a greater extent than photon therapy. Recent studies comparing PBT to photon radiation therapy, specifically intensity-modulated radiation therapy (IMRT) for esophageal cancer (EC), showed that the incidence of grade 4 RIL (G4RIL) is significantly reduced among patients receiving PBT for EC. However, whether the extent of this reduction has a direct causative link with improved survival is unknown. This study applies causal mediation analysis to answer this question. Methods and Materials: We retrospectively assessed 734 patients treated with concurrent chemoradiation therapy for biopsy-proven EC from 2004 to 2017. To address the potential for bias in the choice of radiation modality, propensity score analysis was used to evaluate and reduce imbalances between the PBT and IMRT cohorts. Causal mediation analysis was applied to decompose the total effect of radiation modality on overall survival (OS) into indirect (mediated through G4RIL) and direct effects. Results: We found that PBT was associated with a significantly lower incidence of G4RIL and prolonged OS compared with IMRT (odds ratio, 0.41; 95% CI, 0.28-0.60; P < .001). In the propensity-matched cohort of 506 patients (253 PBT, 253 IMRT), G4RIL risk reduction with PBT versus IMRT translated into a 5% reduction in the relative rate of death (P = .032). Mediation of G4RIL explained ∼14.5% of the difference in OS. Conclusions: G4RIL was found to mediate survival; however, a statistically significant direct effect of PBT on survival was not observed. In other words, the statistical significance of survival benefit from protons over photons in this EC cohort was lost in the absence of G4RIL risk reduction.
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- 2024
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38. Search for pair-produced higgsinos decaying via Higgs or Z bosons to final states containing a pair of photons and a pair of b-jets with the ATLAS detector
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G. Aad, B. Abbott, K. Abeling, N.J. Abicht, S.H. Abidi, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, A.C. Abusleme Hoffman, B.S. Acharya, C. Adam Bourdarios, L. Adamczyk, L. Adamek, S.V. Addepalli, M.J. Addison, J. Adelman, A. Adiguzel, T. Adye, A.A. Affolder, Y. Afik, M.N. Agaras, J. Agarwala, A. Aggarwal, C. Agheorghiesei, A. Ahmad, F. Ahmadov, W.S. Ahmed, S. Ahuja, X. Ai, G. Aielli, M. Ait Tamlihat, B. Aitbenchikh, I. Aizenberg, M. Akbiyik, T.P.A. Åkesson, A.V. Akimov, D. Akiyama, N.N. Akolkar, K. Al Khoury, G.L. Alberghi, J. Albert, P. Albicocco, G.L. Albouy, S. Alderweireldt, M. Aleksa, I.N. Aleksandrov, C. Alexa, T. Alexopoulos, A. Alfonsi, F. Alfonsi, M. Algren, M. Alhroob, B. Ali, H.M.J. Ali, S. Ali, S.W. Alibocus, M. Aliev, G. Alimonti, W. Alkakhi, C. Allaire, B.M.M. Allbrooke, J.F. Allen, C.A. Allendes Flores, P.P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, M. Alvarez Estevez, A. Alvarez Fernandez, M.G. Alviggi, M. Aly, Y. Amaral Coutinho, A. Ambler, C. Amelung, M. Amerl, C.G. Ames, D. Amidei, S.P. Amor Dos Santos, K.R. Amos, V. Ananiev, C. Anastopoulos, T. Andeen, J.K. Anders, S.Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A.V. Anisenkov, A. Annovi, C. Antel, M.T. Anthony, E. Antipov, M. Antonelli, D.J.A. Antrim, F. Anulli, M. Aoki, T. Aoki, J.A. Aparisi Pozo, M.A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, N. Aranzabal, C. Arcangeletti, A.T.H. Arce, E. Arena, J-F. Arguin, S. Argyropoulos, J.-H. Arling, A.J. Armbruster, O. Arnaez, H. Arnold, Z.P. Arrubarrena Tame, G. Artoni, H. Asada, K. Asai, S. Asai, N.A. Asbah, K. Assamagan, R. Astalos, S. Atashi, R.J. Atkin, M. Atkinson, N.B. Atlay, H. Atmani, P.A. Atmasiddha, K. Augsten, S. Auricchio, A.D. Auriol, V.A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, F. Backman, A. Badea, P. Bagnaia, M. Bahmani, A.J. Bailey, V.R. Bailey, J.T. Baines, L. Baines, C. Bakalis, O.K. Baker, E. Bakos, D. Bakshi Gupta, R. Balasubramanian, E.M. 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- Subjects
Physics ,QC1-999 - Abstract
A search is presented for the pair production of higgsinos χ˜ in gauge-mediated supersymmetry models, where the lightest neutralinos χ˜10 decay into a light gravitino G˜ in association with either a Higgs h or a Z boson. The search is performed with the ATLAS detector at the Large Hadron Collider using 139 fb−1 of proton–proton collisions at a centre-of-mass energy of s=13TeV. It targets final states in which a Higgs boson decays into a photon pair, while the other Higgs or Z boson decays into a bb¯ pair, with missing transverse momentum associated with the two gravitinos. Search regions dependent on the amount of missing transverse momentum are defined by the requirements that the diphoton mass should be consistent with the mass of the Higgs boson, and the bb¯ mass with the mass of the Higgs or Z boson. The main backgrounds are estimated with data-driven methods using the sidebands of the diphoton mass distribution. No excesses beyond Standard Model expectations are observed and higgsinos with masses up to 320GeV are excluded, assuming a branching fraction of 100% for χ˜10→hG˜. This analysis excludes higgsinos with masses of 130GeV for branching fractions to hG˜ as low as 36%, thus providing complementarity to previous ATLAS searches in final states with multiple leptons or multiple b-jets, targeting different decays of the electroweak bosons.
- Published
- 2024
- Full Text
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39. Measurement of t-channel single-top-quark production in pp collisions at s=5.02 TeV with the ATLAS detector
- Author
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Wagner, S. Wahdan, H. Wahlberg, M. Wakida, J. Walder, R. Walker, W. Walkowiak, A. Wall, T. Wamorkar, A.Z. Wang, C. Wang, H. Wang, J. Wang, R.-J. Wang, R. Wang, S.M. Wang, S. Wang, T. Wang, W.T. Wang, W. Wang, X. Wang, Y. Wang, Z. Wang, A. Warburton, R.J. Ward, N. Warrack, A.T. Watson, H. Watson, M.F. Watson, E. Watton, G. Watts, B.M. Waugh, C. Weber, H.A. Weber, M.S. Weber, S.M. Weber, C. Wei, Y. Wei, A.R. Weidberg, E.J. Weik, J. Weingarten, M. Weirich, C. Weiser, C.J. Wells, T. Wenaus, B. Wendland, T. Wengler, N.S. Wenke, N. Wermes, M. Wessels, A.M. Wharton, A.S. White, A. White, M.J. White, D. Whiteson, L. Wickremasinghe, W. Wiedenmann, C. Wiel, M. Wielers, C. Wiglesworth, D.J. Wilbern, H.G. Wilkens, D.M. Williams, H.H. Williams, S. Williams, S. Willocq, B.J. Wilson, P.J. Windischhofer, F.I. Winkel, F. Winklmeier, B.T. Winter, J.K. Winter, M. Wittgen, M. Wobisch, Z. Wolffs, J. Wollrath, M.W. Wolter, H. Wolters, A.F. Wongel, S.D. Worm, B.K. Wosiek, K.W. Woźniak, S. Wozniewski, K. Wraight, C. Wu, J. Wu, M. Wu, S.L. Wu, X. Wu, Y. Wu, Z. Wu, J. Wuerzinger, T.R. Wyatt, B.M. Wynne, S. Xella, L. Xia, M. Xia, J. Xiang, M. Xie, X. Xie, S. Xin, A. Xiong, J. Xiong, D. Xu, H. Xu, L. Xu, R. Xu, T. Xu, Y. Xu, Z. Xu, B. Yabsley, S. Yacoob, Y. Yamaguchi, E. Yamashita, H. Yamauchi, T. Yamazaki, Y. Yamazaki, J. Yan, S. Yan, Z. Yan, H.J. Yang, H.T. Yang, S. Yang, T. Yang, X. Yang, Y. Yang, Z. Yang, W-M. Yao, Y.C. Yap, H. Ye, J. Ye, S. Ye, X. Ye, Y. Yeh, I. Yeletskikh, B.K. Yeo, M.R. Yexley, P. Yin, K. Yorita, S. Younas, C.J.S. Young, C. Young, C. Yu, Y. Yu, M. Yuan, R. Yuan, L. Yue, M. Zaazoua, B. Zabinski, E. Zaid, T. Zakareishvili, N. Zakharchuk, S. Zambito, J.A. Zamora Saa, J. Zang, D. Zanzi, O. Zaplatilek, C. Zeitnitz, H. Zeng, J.C. Zeng, D.T. Zenger, Jr, O. Zenin, T. Ženiš, S. Zenz, S. Zerradi, D. Zerwas, M. Zhai, B. Zhang, D.F. Zhang, J. Zhang, K. Zhang, L. Zhang, P. Zhang, R. Zhang, S. Zhang, T. Zhang, X. Zhang, Y. Zhang, Z. Zhang, H. Zhao, P. Zhao, T. Zhao, Y. Zhao, Z. Zhao, A. Zhemchugov, J. Zheng, K. Zheng, X. Zheng, Z. Zheng, D. Zhong, B. Zhou, H. Zhou, N. Zhou, Y. Zhou, C.G. Zhu, J. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, V. Zhulanov, N.I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T.G. Zorbas, O. Zormpa, W. Zou, and L. Zwalinski
- Subjects
Physics ,QC1-999 - Abstract
The observation of the electroweak production of single-top-quarks is made using 255 pb−1 of proton-proton collision data recorded at s=5.02 TeV with the ATLAS detector at the Large Hadron Collider. An event selection is used to identify single-top-quark candidates arising from t-channel production with the top quark decaying semi-leptonically. Events passing the selection are then used to measure the inclusive cross-section for the combined production of single-top-quarks and antiquarks, σ(tq+t¯q), and the ratio Rt between these two. They are measured to be σ(tq+t¯q)=27.1−4.1+4.4(stat.)−3.7+4.4(syst.) pb and Rt=2.73−0.82+1.43(stat.)−0.29+1.01(syst.). The individual single-top-quark (tq) and single-top-antiquark (t¯q) production cross-sections are measured to be σ(tq)=19.8−3.1+3.9(stat.)−2.2+2.9(syst.) pb and σ(t¯q)=7.3−2.1+3.2(stat.)−1.5+2.8(syst.) pb. All measurements are in good agreement with the Standard Model predictions.
- Published
- 2024
- Full Text
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40. Measurement of the Z boson invisible width at s=13 TeV with the ATLAS detector
- Author
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Solovyev, P. Sommer, A. Sonay, W.Y. Song, J.M. Sonneveld, A. Sopczak, A.L. Sopio, F. Sopkova, I.R. Sotarriva Alvarez, V. Sothilingam, O.J. Soto Sandoval, S. Sottocornola, R. Soualah, Z. Soumaimi, D. South, N. Soybelman, S. Spagnolo, M. Spalla, D. Sperlich, G. Spigo, S. Spinali, D.P. Spiteri, M. Spousta, E.J. Staats, A. Stabile, R. Stamen, A. Stampekis, M. Standke, E. Stanecka, M.V. Stange, B. Stanislaus, M.M. Stanitzki, B. Stapf, E.A. Starchenko, G.H. Stark, J. Stark, D.M. Starko, P. Staroba, P. Starovoitov, S. Stärz, R. Staszewski, G. Stavropoulos, J. Steentoft, P. Steinberg, B. Stelzer, H.J. Stelzer, O. Stelzer-Chilton, H. Stenzel, T.J. Stevenson, G.A. Stewart, J.R. Stewart, M.C. Stockton, G. Stoicea, M. Stolarski, S. Stonjek, A. Straessner, J. Strandberg, S. Strandberg, M. Stratmann, M. Strauss, T. Strebler, P. Strizenec, R. Ströhmer, D.M. Strom, R. Stroynowski, A. Strubig, S.A. Stucci, B. Stugu, J. Stupak, N.A. Styles, D. Su, S. Su, W. Su, X. Su, K. Sugizaki, V.V. Sulin, M.J. Sullivan, D.M.S. Sultan, L. Sultanaliyeva, S. Sultansoy, T. Sumida, S. Sun, O. Sunneborn Gudnadottir, N. Sur, M.R. Sutton, H. Suzuki, M. Svatos, M. Swiatlowski, T. Swirski, I. Sykora, M. Sykora, T. Sykora, D. Ta, K. Tackmann, A. Taffard, R. Tafirout, J.S. Tafoya Vargas, E.P. Takeva, Y. Takubo, M. Talby, A.A. Talyshev, K.C. Tam, N.M. Tamir, A. Tanaka, J. Tanaka, R. Tanaka, M. Tanasini, Z. Tao, S. Tapia Araya, S. Tapprogge, A. Tarek Abouelfadl Mohamed, S. Tarem, K. Tariq, G. Tarna, G.F. Tartarelli, P. Tas, M. Tasevsky, E. Tassi, A.C. Tate, G. Tateno, Y. Tayalati, G.N. Taylor, W. Taylor, A.S. Tee, R. Teixeira De Lima, P. Teixeira-Dias, J.J. Teoh, K. Terashi, J. Terron, S. Terzo, M. Testa, R.J. Teuscher, A. Thaler, O. Theiner, N. Themistokleous, T. Theveneaux-Pelzer, O. Thielmann, D.W. Thomas, J.P. Thomas, E.A. Thompson, P.D. Thompson, E. Thomson, Y. Tian, V. Tikhomirov, Yu.A. Tikhonov, S. Timoshenko, D. Timoshyn, E.X.L. Ting, P. Tipton, S.H. Tlou, A. Tnourji, K. Todome, S. 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Valentinetti, A. Valero, E. Valiente Moreno, A. Vallier, J.A. Valls Ferrer, D.R. Van Arneman, T.R. Van Daalen, A. Van Der Graaf, P. Van Gemmeren, M. Van Rijnbach, S. Van Stroud, I. Van Vulpen, M. Vanadia, W. Vandelli, M. Vandenbroucke, E.R. Vandewall, D. Vannicola, L. Vannoli, R. Vari, E.W. Varnes, C. Varni, T. Varol, D. Varouchas, L. Varriale, K.E. Varvell, M.E. Vasile, L. Vaslin, G.A. Vasquez, A. Vasyukov, F. Vazeille, T. Vazquez Schroeder, J. Veatch, V. Vecchio, M.J. Veen, I. Veliscek, L.M. Veloce, F. Veloso, S. Veneziano, A. Ventura, S. Ventura Gonzalez, A. Verbytskyi, M. Verducci, C. Vergis, M. Verissimo De Araujo, W. Verkerke, J.C. Vermeulen, C. Vernieri, M. Vessella, M.C. Vetterli, A. Vgenopoulos, N. Viaux Maira, T. Vickey, O.E. Vickey Boeriu, G.H.A. Viehhauser, L. Vigani, M. Villa, M. Villaplana Perez, E.M. Villhauer, E. Vilucchi, M.G. Vincter, G.S. Virdee, A. Vishwakarma, A. Visibile, C. Vittori, I. Vivarelli, E. Voevodina, F. Vogel, J.C. Voigt, P. Vokac, Yu. Volkotrub, J. 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Zaplatilek, C. Zeitnitz, H. Zeng, J.C. Zeng, D.T. Zenger, Jr, O. Zenin, T. Ženiš, S. Zenz, S. Zerradi, D. Zerwas, M. Zhai, B. Zhang, D.F. Zhang, J. Zhang, K. Zhang, L. Zhang, P. Zhang, R. Zhang, S. Zhang, T. Zhang, X. Zhang, Y. Zhang, Z. Zhang, H. Zhao, T. Zhao, Y. Zhao, Z. Zhao, A. Zhemchugov, J. Zheng, K. Zheng, X. Zheng, Z. Zheng, D. Zhong, B. Zhou, H. Zhou, N. Zhou, Y. Zhou, C.G. Zhu, J. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, V. Zhulanov, N.I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T.G. Zorbas, O. Zormpa, W. Zou, and L. Zwalinski
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Physics ,QC1-999 - Abstract
A measurement of the invisible width of the Z boson using events with jets and missing transverse momentum is presented using 37 fb−1 of 13 TeV proton–proton data collected by the ATLAS detector in 2015 and 2016. The ratio of Z→inv to Z→ℓℓ events, where inv refers to non-detected particles and ℓ is either an electron or a muon, is measured and corrected for detector effects. Events with at least one energetic central jet with pT≥110 GeV are selected for both the Z→inv and Z→ℓℓ final states to obtain a similar phase space in the ratio. The invisible width is measured to be 506±2(stat.)±12(syst.) MeV and is the single most precise recoil-based measurement. The result is in agreement with the most precise determination from LEP and the Standard Model prediction based on three neutrino generations.
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- 2024
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41. Development of Adaptive Neuro-Fuzzy Inference System to Predict Concrete Compressive Strength
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Hakim, S.J.S, Jamaluddin, N., Boon, K.H., Mokhatar, S.N., Khalifa, A. Nasradeen, Jamellodin, Z., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, and Sabtu, Nuridah, editor
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- 2024
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42. Criteria for prioritizing conservation of Paddy landraces in Odisha, India: A participatory approach
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Yadav, P., Padaria, R.N., Burman, R.R., Sarkar, S., Yadav, R., and Kumar, S.N.
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- 2024
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43. A Strategic Framework for Decarbonizing Supply Chain Transactions through Innovative Initiatives: SMART Goals – FAST Decisions – CLEAN Implementation
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Panigrahi, S.N.
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- 2024
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44. Climate Change, Migration, Displacement in Asia and the Pacific: Role of UNDP
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Tripathy, S.N.
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- 2024
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45. Pharmacovigilance: Past, present and future
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Londhe, Vikas P., Chanshetti, Rahul, and Dhole, S.N.
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- 2024
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46. Effect of feeding sun dried banana pseudostem as a partial replacement of dietary maize on performance and production economics of crossbred grower pigs
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Baruah, K.K., Khargharia, G., Deori, S., Kadirvel, G., Doley, S., Baruah, A., and Abedin, S.N.
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- 2024
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47. Effect of age on testicular biometry, sexual behaviour and semen characteristics in indigenous goat breeds
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Khan, Asad, Thakur, M.S., Joshi, S., Shukla, S.N., Khare, A., Khare, V., Vandre, R.K., and Sharma, M.
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- 2024
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48. Current knowledge of the taxonomy and classification of representatives from the order Legionellales (Legionellaceae, Coxiellaceae) Phylum Pseudomonadota
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Shpynov S.N., Tartakovsky I.S., and Rudakov N.V.
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taxonomy ,systematics ,molecular biological methods ,legionella pneumophila ,coxiella burnetii ,order legionellales ,phylum pseudomonadota ,prokaryotes ,Infectious and parasitic diseases ,RC109-216 ,Microbiology ,QR1-502 - Abstract
Since the development of microbiology as a science, the identification, systematics and classification of microorganisms have been carried out based on the study of phenotypic characteristics. In the second half of the 20th century, after the discovery of the structure of DNA and polymerase chain reaction, the era of molecular biological research began in microbiology. Since 2002, the use of a complex of molecular biological and phylogenetic methods has been recommended as a guiding approach in the classification and taxonomy of prokaryotes, which has led to reclassification in some taxa. The representation of the taxonomy of Legionella pneumophila (order Legionellales, class Gammaproteobacteria) was formulated after the outbreak of legionnaires' disease (legionellosis) in the USA in 1976. The description of the causative agent of Q-fever – Coxiella burnetii occurred 40 years earlier, but its classification and taxonomic status in the order Rickettsiales of the class Alphaproteobacteria were presented incorrectly based on the study of available phenotypic characteristics in the 1930s and 1950s. This determined the «fate» of C. burnetii and Q-fever for half a century, included in the list of rickettsiae and rickettsioses traditionally studied by rickettsiologists. As a result of the application of molecular biological methods in the 1990s, in the order Legionellales was replenished by several representatives of the order Rickettsiales, three representatives of which (C. burnetii, Rickettsiella grilli and Wolbachia persica) were moved to the class Gammaproteobacteria. Analysis of the 16S rRNA gene sequence led to the reclassification of Coxiella into a separate genus of gamma-proteobacteria of the phylum Proteobacteria (now Pseudomonadota) along with the genera Legionella, Francisella and Rickettsiella with representatives of which have the greatest phylogenetic relationship. Sequencing of the 16S rRNA gene of C. burnetii isolates from different geographical regions revealed only three nucleotide substitutions, indicating that the nucleotide sequences of these strains are closely related (the degree of homology is 99%), which confirms the phylogenetic uniformity of the genus Coxiella within a single species. A comparative analysis of the proteome of representatives of the order Legionellales and a phylodendrogramm constructed during the study of the main proteins of representatives of the genera Legionella, Coxiella, Acquicella and Rickettsiella (Diplorickettsia) allowed the formation of various clades confirming their monophyla. The C. burnetii genome encodes 24 similar components out of 27 involved in the pathogenesis of L. pneumophila by type IVB secretory system (type IVB secretory systems). Verification of the taxonomic position of C. burnetii is an example of the use of molecular biological methods to solve problems of taxonomy and classification of prokaryotes. It is advisable to use an integrated approach based on the application of «classical» methods of bacteriology and new molecular biological and phylogenetic methods, which will allow to obtain an objective understanding of the microorganisms associated with the human population.
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- 2024
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49. Etiology of community-acquired pneumonia in adults in Russian hospitals after the COVID-19 pandemic: results of a multicenter prospective study
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Rachina S.A., Kupryushina O.A., Strelkova D.A., Avdeev S.N., Vlasenko A.E., Yasneva A.S., Yudanova T.A., Trofimenko I.N., Antonov V.N., Agibalova M.N., Merzhoeva Z.M., Yatsyshina S.B., Tikhonova M.A., Elkina M.A., Ananicheva N.A., Burmistrova E.N., and Sukhorukova M.V.
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community-acquired pneumonia ,covid-19 ,etiology ,adults ,Infectious and parasitic diseases ,RC109-216 ,Microbiology ,QR1-502 - Abstract
Objective. To study the etiology of community-acquired pneumonia (CAP) in adult hospitalized patients after the COVID-19 pandemic. Materials and Methods. The prospective multicenter study included patients 18 years and older with confirmed diagnosis of CAP admitted to 6 hospitals in different regions of Russia from July to November 2023. Etiology was confirmed by respiratory samples (sputum, tracheal aspirate) culture, blood culture (severe cases), and urinary antigen tests (Legionella pneumophila serogroup 1, Streptococcus pneumoniae). Mycoplasma pneumoniae, Chlamydia pneumoniae, and common respiratory viruses were identified using the real-time polymerase chain reaction (PCR) in respiratory samples. Qualitative PCR for S. pneumoniae and Haemophilus influenzae DNA tests were also applied. Results. Altogether 152 patients were enrolled, and significant CAP pathogens were identified in 96 (63%) cases; the median age of patients with verified etiology of CAP was 45 [34.8; 66] years, comorbidity index was 0.5 (0; 3.0) points. The most frequently detected pathogens were M. pneumoniae – 42 (44%), rhinovirus – 23 (24%), S. pneumoniae – 17 (18%) and SARS-CoV-2 – 13 (14%). Coinfection was registered in 22% of cases, the most common associations were M. pneumoniae + rhinovirus – 5 (3.3%), S. pneumoniae + rhinovirus – 3 (2%). Pneumococcal bacteremia was detected in 1 patient. In most patients CAP was non-severe; 17 (18%) patients required admission to the ICU. Hospital mortality was 7%. Conclusions. M. pneumoniae, respiratory viruses (mainly rhinovirus and SARS-CoV-2), and S. pneumoniae were the predominant CAP pathogens in hospitalized adults with CAP in the first months after the COVID-19 pandemiс. The use of an integrated approach to etiological diagnosis can significantly increase the proportion of patients with an established etiology of CAP.
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- 2024
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50. Assessment of functional benefits of kaalan-A traditional food of Kerala
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K. B. Divya, S.N. Rajakumar, P. Sujith, A.K. Beena, M P. Divya, P. Sudheer Babu, V. Ramnath, and B. Sheela Karalam
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Animal biochemistry ,QP501-801 ,Science (General) ,Q1-390 - Published
- 2024
- Full Text
- View/download PDF
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