Author: "Dutta, A." / Language: spanish; castilian - Searchworks@Jio Institute Digital Library Search Results

32 results on '"Dutta, A."'

1. Correlatos psicosociales de calidad de vida en trastornos gastrointestinales funcionales

Author: Sundas, A., Sampath, H., Lamtha, S.C., Soohinda, G., and Dutta, S.
Published: 2024
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2. Los polimorfismos de ITPA no predicen un riesgo adicional más allá de TPMT y NUDT15 para citopenia inducida por tiopurina en la enfermedad inflamatoria intestinal

Author: Jena, A., Grover, N., Bhatia, P., Singh, M., Lad, D., Prasad, K.K., Singh, H., Dutta, U., and Sharma, V.
Published: 2024
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3. Effectiveness of Digital Interventions for Deficit-Oriented and Asset-Oriented Psychological Outcomes in the Workplace: A Systematic Review and Narrative Synthesis

Author: Maria Armaou, Evangelia Araviaki, Snigdha Dutta, Stathis Konstantinidis, and Holly Blake
Subjects: systematic review, digital interventions, workplace, Public aspects of medicine, RA1-1270, Psychology, BF1-990
Abstract: Background: Digital psychological interventions can target deficit-oriented and asset-oriented psychological outcomes in the workplace. This review examined: (a) the effectiveness of digital interventions for psychological well-being at work, (b) associations with workplace outcomes, and (c) associations between interventions’ effectiveness and their theory-base. Methods: six electronic databases were searched for randomised controlled trials (RCT) and quasi-experimental studies. The methodological quality of studies that used randomisation was conducted with the “Cochrane Collaboration’s Risk of Bias” tool, while the “JBI Critical Appraisal Checklist” was used for non-randomised studies. Studies’ theory-base was evaluated using an adaptation of the “theory coding scheme” (TSC). Due to heterogeneity, narrative synthesis was performed. Results: 51 studies were included in a synthesis describing four clusters of digital interventions: (a) cognitive behavioural therapy, (b) stress-management interventions and workplace well-being promotion, (c) meditation training and mindfulness-based interventions, and (d) self-help interventions. Studies demonstrated a high risk of contamination effects and high attrition bias. Theory-informed interventions demonstrated greater effectiveness. Cognitive behavioural therapy demonstrated the most robust evidence for reducing depression symptoms among healthy employees. With the exception of the Headspace application, there was weak evidence for meditation training apps, while relaxation training was a key component of effective stress-management interventions.
Published: 2022
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4. An Efficient Convolutional Neural Network to Detect and Count Blood Cells

Author: Rakesh Chandra Joshi, Saumya Yadav, Malay Kishore Dutta, and Carlos M. Travieso-González
Subjects: convolutional neural network, deep learning, platelets, red blood cells, white blood cells, Science, Science (General), Q1-390
Abstract: Blood cell analysis is an important part of the health and immunity assessment. There are three major components of the blood: red blood cells, white blood cells, and platelets. The count and density of these blood cells are used to find multiple disorders like blood infections (anemia, leukemia, among others). Traditional methods are time-consuming, and the test cost is high. Thus, it arises the need for automated methods that can detect different kinds of blood cells and count the number of cells. A convolutional neural network-based framework is proposed for detecting and counting the cells. The neural network is trained for the multiple iterations, and a model having lower validation loss is saved. The experiments are done to analyze the performance of the detection system and results with high accuracy in the counting of the cells. The mean average precision is achieved when compared to ground truth provided to respective labels. The value of the average precision is found to be ranging from 70% to 99.1%, with a mean average precision value of 85.35%. The proposed framework had much less time complexity: it took only 0.111 seconds to process an image frame with dimensions of 640×480 pixels. The system can also be implemented in low-cost, single-board computers for rapid prototyping. The efficiency of the proposed framework to identify and count different blood cells can be utilized to assist medical professionals in finding disorders and making decisions based on the obtained report.
Published: 2022
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5. A deep learning approach for epilepsy seizure detection using EEG signals

Author: Manoj Kaushik, Divyanshu Singh, Malay Kishore-Dutta, and Carlos M. Travieso
Subjects: EEG Signal, epilepsy detection, Convolutional Neural network, pattern recognition, Technology
Abstract: Electroencephalogram (EEG) is an effective non-invasive way to detect sudden changes in neural brain activity, which generally occurs due to excessive electric discharge in the brain cells. EEG signals could be helpful in imminent seizure prediction if the machine could detect changes in EEG patterns. In this study, we have proposed a one-dimensional Convolutional Neural network (CNN) for the automatic detection of epilepsy seizures. The automated process might be convenient in the situations where a neurologist is unavailable and also help the neurologists in proper analysis of EEG signals and case diagnosis. We have used two publicly available EEG datasets, which were collected from the two African countries, Guinea-Bissau and Nigeria. The datasets contain EEG signals of 318 subjects. We have trained and verify the performance of our model by testing it on both the datasets and obtained the highest accuracy of 82.818%.
Published: 2022
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6. Artificial Intelligence based Multi-sensor COVID-19 Screening Framework

Author: Rakesh Chandra-Joshi, Malay Kishore-Dutta, and Carlos M. Travieso
Subjects: Convolutional Neural Network, COVID-19 detection, Deep Learning, Multi-sensor., Technology
Abstract: Many countries are struggling for COVID-19 screening resources which arises the need for automatic and low-cost diagnosis systems which can help to diagnose and a large number of tests can be conducted rapidly. Instead of relying on one single method, artificial intelligence and multiple sensors based approaches can be used to decide the prediction of the health condition of the patient. Temperature, oxygen saturation level, chest X-ray and cough sound can be analyzed for the rapid screening. The multi-sensor approach is more reliable and a person can be analyzed in multiple feature dimensions. Deep learning models can be trained with multiple chest x-ray images belonging to different categories to different health conditions i.e. healthy, COVID-19 positive, pneumonia, tuberculosis, etc. The deep learning model will extract the features from the input images and based on that test images will be classified into different categories. Similarly, cough sound and short talk can be trained on a convolutional neural network and after proper training, input voice samples can be differentiated into different categories. Artificial based approaches can help to develop a system to work efficiently at a low cost.
Published: 2022
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7. Automatic diagnosis of lower back pain using gait patterns

Author: Chandrasen Pandey, Neeraj Baghel, Malay Kishore-Dutta, and Carlos M. Travieso González
Subjects: Gait Analysis, Back Pain, Support vector machine, Technology
Abstract: Back pain is a common pain that mostly affects people of all ages and results in different types of disorders such as Obesity, Slipped disc, Scoliosis, and Osteoporosis, etc. The diagnosis of back pain disorder is difficult due to the extent affected by the disorder and exact biomechanical factors. This work presents a machine learning method to diagnose these disorders using the Gait monitoring system. It involves support vector machines that classify between lower back pain and normal, on the bases of 3 Gait patterns that are integrated pressure, the direction of progression, and CISP-ML. The proposed method uses 13 different features such as mean and standard deviation, etc. recorded from 62 subjects (30 normal and 32 with lower back pain). The features alone resulted in higher leave-one-out classification accuracy (LOOCV) 92%. The proposed method can be used for automatically diagnosing the lower back pain and its gait effects on the person. This model can be ported to small computing devices for self-diagnosis of lower back pain in a remote area.
Published: 2022
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8. On the distribution of Vagrans egista (Cramer, 1780) in West Bengal, India

Author: Subhajit Roy, Aniruddha Singhamahapatra, and Suvankar Dutta
Subjects: butterfly, deccan, invasive plant, nectaring, new record, Science, Zoology, QL1-991
Abstract: Vagrans egista (Cramer, 1780) is reported for the first time from southern part of West Bengal, India. The Raygar forest of Bankura district in the plateau region is the second locality for the reported species in West Bengal, which extends the distribution range (aerial distance: 525 km) of the species from its known locality, Buxa Tiger Reserve of Alipurduar district in the state. This paper also reports occurrence of Rapala pheretima and Gerosis bhagava in Bankura district for the first time. Importance of an invasive plant, Mikania micrantha has also been discussed as a nectaring plant of butterflies.
Published: 2021
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9. Potential of Trichoderma species as biofertilizer and biological control on Oryza sativa L. cultivation

Author: Sanjit Debnath, Goutam Chakraborty, Suvendhu S Dutta, Shaon Ray Chaudhury, Panna Das, and Ajay Krishna Saha
Subjects: rice, biocontrol agent, growth parameters and yield, Agriculture, Plant culture, SB1-1110
Abstract: Rice (Oryza sativa L.) is one of the main staples around the world, especially in Asia, the most consuming region. Rice cultivation currently faces many environmental problems caused by the contribution of chemical fertilizers and pesticides. This review is carried out to document the principal findings of Trichoderma species application on rice plants. The analysis revealed that different species of Trichoderma have been applied in different fields of research on rice plants to increase the absorption of nutrients, soil fertility, tolerance to salinity, plant growth promotion and development with increased yields. Mechanisms include decomposition, mycoparasitism, cellulose degradation, and phosphate solubilizing activity. The potential for antagonistic activity against disease-causing fungi and inhibition of growth of harmful root microflora is demonstrated. This work also suggested that Trichoderma can be applied alone or together with other microorganisms to significantly promote the growth and performance of rice plants. Among the species, T. harzianum was studied mainly to determine its different roles in rice, followed by T. asperellum, T. viride, T. virens and T. atroviride. Therefore, the findings revealed the potential of the Trichoderma species as a possible biofertilizer and biological control for rice cultivation worldwide.
Published: 2020

10. Optimization of enzymatic hydrolysis of Pleurotus ostreatus derived proteins through RSM and evaluation of nutritional and functional qualities of mushroom protein hydrolysates

Author: Bhaswati Goswami, Sayari Majumdar, Ruma Dutta, and Jayati Bhowal
Subjects: Antinutrient, Mushroom protein hydrolysate, Degree of hydrolysis, RSM, Functional properties, Nutrition. Foods and food supply, TX341-641
Abstract: Abstract Pleurotus ostreatus (Jacq.) P. Kumm., the second most widely cultivated oyster mushroom was grown on paddy straw, which is cheap and readily available waste material. After harvesting and drying, nutritional, and antinutritional composition of P. ostreatus were estimated using the standard assay methods. Tannin and phytic acid were present in very negligible amount (0.095 ± 0.027 mg/g and 0.150 ± 0.083 mg/g, respectively), whereas oxalate and cyanide were absent in whole mushroom. In fact, P. ostreatus was hydrolysed with commercially available proteinase K, pepsin and trypsin with different concentrations of the enzymes (0.05%, 0.10% and 0.15%), at different temperatures (30 °C, 40 °C and 50 °C) for different time periods (60, 90 and 120 min) to get the mushroom protein hydrolysates. Degree of hydrolysis and protein content varied from 4.29 ± 1.12% to 99.42 ± 0.02% and from 0.25 ± 0.07 mg/mL to 3.22 ± 0.12 mg/mL, respectively. Maximum degree of hydrolysis and the highest protein content of protein hydrolysate was obtained when using 0.15% proteinase K, at 50 °C for 120 minutes. Mushroom protein hydrolysates thus obtained exhibited improved functional characteristics such as foaming capacity, foaming stability and emulsifying property than the unhydrolysed mushroom. Based on the result of the present study, the mushroom protein hydrolysates could be served as useful ingredient for food and nutraceutical applications.
Published: 2022
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11. Minor Components and Oxidative Stability as Determined by DSC of Fractionated and Lipase-catalyzed Structured Rapeseed Oil

Author: M. A. Alim, P. Wessman, and P. C. Dutta
Subjects: differential scanning calorimetry, lipasecatalyzed reaction, oxidative stability, rapeseed oil, sterols, tocopherols, Nutrition. Foods and food supply, TX341-641
Abstract: Natural fats and oils can be modified by various methods to prepare products with desired physical, chemical and nutritional properties. The enrichment and retention of the minor lipid components, the incorporation of capric acid and oxidative stability in low temperature fractionated rapeseed oil (RSO) in acetone were assessed in this study. The fractionated liquid part (L-RSO), the solid part (S-RSO) and the RSO were transesterified with capric acid (CA) at different mole ratios using lipase. The yields of L-RSO and S-RSO were 30 and 70 g per 100 g, respectively. The L-RSO contained higher levels of linoleic acid and linolenic acid, and a lower level of oleic acid compared to the S-RSO. The S-RSO contained a higher amount of total sterols than the RSO and the L-RSO. In contrast, the L-RSO contained a higher amount of total tocopherols than the RSO and the S-RSO. The incorporation of CA was ideal at a mole ratio of 1:3. The content of sterols and tocopherols gradually decreased with an increased mole ratio for the CA incorporation. The oxidative stability shown as onset temperature, determined by DSC, of the S-RSO was higher compared to those of the L-RSO and RSO.
Published: 2013
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12. Lipid components and oxidative status of selected specialty oils

Author: S. R. P. Madawala, S. P. Kochhar, and P. C. Dutta
Subjects: differently processed rapeseed oils, organic rapeseed oil, lipids, nut oils, oxidative status, rancimat, specialty oils, Nutrition. Foods and food supply, TX341-641
Abstract: Many vegetable oils are marketed as specialty oils because of their retained flavors, tastes and distinct characteristics. Specialty oil samples which were commercially produced and retailed were purchased from local superstores in Reading, UK, and Uppsala, Sweden and profiled for detailed lipid composition and oxidative status. These oil samples include: almond, hazelnut, walnut, macadamia nut, argan, avocado, grape seed, roasted sesame, rice bran, cold pressed, organic and cold pressed, warm pressed and refined rapeseed oils. The levels of PV were quite low (0.5-1.3mEq O₂/kg) but AV and Rancimat values at 100 °C (except for rapeseed oils) varied considerably at (0.5-15.5) and (4.2-37.0 h) respectively. Macadamia nut oil was found to be the most stable oil followed by argan oil, while walnut oil was the least stable. Among the specialty oils, macadamia nut oil had the lowest (4%) and walnut oil had the highest (71%) level of total PUFA. The organic cold pressed rapeseed oil had considerably lower PUFA (27%) compared with other rapeseed oils (28- 35%). In all the samples, α- and γ- tocopherols were the major tocopherols; nut oils had generally lower levels. Total sterols ranged from 889 to 15,106 μg/g oil. The major sterols were β-sitosterol (61-85%) and campesterol (6-20%). Argan oil contained schottenol (35%) and spinasterol (32%). Compared with literature values, no marked differences were observed among the differently processed, organically grown or cold pressed rapeseed oils and other specialty oils in this study.
Published: 2012
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13. Combining ability analysis for yield and yield components in bold grained rice (Oryza sativa L.) of Assam

Author: B.K. Dutta, S.B. Paul, R Chakraborty, and Supriyo Chakraborty
Subjects: General combining ability, bold grained rice, yield component, yield, Agriculture
Abstract: Combining ability analysis for grain yield and its components was carried out in eight parental diallel crosses of bold grained rice excluding reciprocals. The general combining ability (GCA) and specific combining ability (SCA) effects were significant for all the characters indicating the importance of both additive and non-additive gene effects in their inheritance. The parents Ranjit followed by Matonga and Monohar Sali contributed significantly to high GCA effect towards high grain yield per hill. The superior specific cross combinations for high grain yield per hill were Matonga/Bar Madhava, originated from high x low GCA combination followed by Dhola Mula/ Ranjit (low x high gca), Chandmoni/Hathi Sali (low x high GCA), Dhola Mula/Mala (low x low gca), Matonga/Mala (high x low GCA), Bar Madhava/Hathi Sali (low x high GCA) and Matonga/Hathi Sali (high x high GCA). Further, these crosses exhibited high SCA effects for some other characters as well.
Published: 2009

14. On two new types of statistical convergence and a summability method/Dois novos tipos de convergencia estatistica e o metodo de sumabilidade

Author: Dutta, Hemen, Reddy, Bokka Surender, and Jebril, Iqbal Hamzah
Published: 2014
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15. p-bounded variation fuzzy real-valued double sequence space/Variacao de fuzzy limitada a p de valor real de espacos de sequencia duplo

Author: Dutta, Amar Jyoti
Published: 2013
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16. Combining ability analysis for yield and yield components in bold grained rice (Oryza sativa L.) of Assam

Author: Chakraborty, R., Chakraborty, Supriyo, Dutta, B.K., and Paul, S.B.
Published: 2009

17. Sterols and sterol oxides in the potato products, and sterols in the vegetable oils used for industrial frying operations

Author: Paresh Chandra Dutta and Lars-Åke Appelqvist
Subjects: crisps, french fries, industrial frying, sterols (composition), sterol oxides, vegetable oils., Nutrition. Foods and food supply, TX341-641
Abstract: The objective of this study was to determine the composition of sterols in vegetable oils used in industrial frying operations, and sterols and sterol oxides in the fried potato products. The sterols and sterol oxides were enriched by saponification of oils and by solid phase extraction. Preparative thin layer chromatography, capillary gas chromatography, gas chromatography-mass spectrometry, and nuclear magnetic resonance spectroscopy, were used to give qualitative and quantitative data. The results revealed that the content of desmethylsterols in palm oil, sunflower oil, high oleic sunflower oil, and rapeseed oil/palm oil blend were, 790, 4501, 3550, and 4497 ppm, respectively. Sitosterol was the major desmethylsterol in all samples. Palm oil also contained the lowest levels of total unsaponifiables. The sterols and unsaponifiable contents in sunflower oil were, to some extent, higher than in higholeic sunflower oil. The compositions of sterols after two days of frying were neither markedly different in the oils nor in the potato products fried in these oils compared with the original oils. Isomerised sterols were tentatively quantified to account for 10 ppm, 50 ppm and 20 ppm, in rapeseed oil/palm oil blend, sunflower oil, and high-oleic sunflower oils, respectively. Lipids extracted from French fries prepared in rapeseed oil/palm oil blend contained the highest levels of total sterol oxides, 191 ppm, and epoxides of both sitosterol and campesterol were the major contributors, together at a level of 172 ppm. On the other hand, lipids extracted from French fries prepared in sunflower oil and high-oleic sunflower oil contained 7α-hydroxy-, 7β-hydroxy-, 7-keto- and both epimers of epoxysitosterol, generally in equal amounts. All samples also contained small amounts of different oxidation products of campesterol and stigmasterol.
Published: 1996
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18. Construct validity of writing motivation questionnaire

Author: Devdulal Dutta Roy
Subjects: Writing motivation, validity, academic performance, primary education, Psychology, BF1-990
Abstract: The article reports results of two consecutive studies designed to understand construct validity of writing motivation and to examine its utility in the prediction of academic achievement. In first study, data were collected from 884 students of primary education through writing motivation questionnaire with seven domains (Dutta Roy, 2003). Correspondence analysis reveals two latent traits (intrinsic and extrinsic) of writing motivation. In the second study, writing motivation questionnaire was administered to 200 students and their academic performances in schools were collected. Results reveal inverse relation between latent traits. Composite scores of intrinsic writing motivation were positively and those of extrinsic writing motivation were negatively correlated with academic performance.
Published: 2010
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19. Cluster analysis for test-retest reliability

Author: Debdulal Dutta Roy
Subjects: Paired t-statistic, Hierarchical clustering, complete linkage, Dendograms, Reading motivation, Psychology, BF1-990
Abstract: Conventional statistical model for assessing test-retest reliability of questionnaire is to compare composite scores of matched subtests or items between periods. Current study examined test-retest reliability in terms of both subtest and item wise comparison through paired t-test statistics. Data were collected from 72 students twice within 8 months intervals using reading motivation questionnaire (Dutta Roy, 2003). The questionnaire includes 3 intrinsic (rApp, rKnow,rAch) and 4 extrinsic (rAes, rRecog, rAff and rHarm) reading motivation subtests. Finding inconsistency between both subtest and item wise comparison, I propose a model of clustering items between periods. Hierarchical clustering with complete linkage shows that more than 55% of both test and retest items are assembled in the primary cluster suggesting high test retest reliability among 6 reading motivation variables.
Published: 2010
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20. Fiducial, total and differential cross-section measurements of t-channel single top quark production in pp collisions at 8TeV using data collected by the ATLAS detector

Author: M. Aaboud, G. Aad, B. Abbott, J. Abdallah, O. Abdinov, B. Abeloos, O. S. AbouZeid, N. L. Abraham, H. Abramowicz, H. Abreu, R. Abreu, Y. Abulaiti, B. S. Acharya, S. Adachi, L. Adamczyk, D. L. Adams, J. Adelman, S. Adomeit, T. Adye, A. A. Affolder, T. Agatonovic-Jovin, J. A. Aguilar-Saavedra, S. P. Ahlen, F. Ahmadov, G. Aielli, H. Akerstedt, T. P. A. Åkesson, A. V. Akimov, G. L. Alberghi, J. Albert, S. Albrand, M. J. Alconada Verzini, M. Aleksa, I. N. Aleksandrov, C. Alexa, G. Alexander, T. Alexopoulos, M. Alhroob, B. Ali, M. Aliev, G. Alimonti, J. Alison, S. P. Alkire, B. M. M. Allbrooke, B. W. Allen, P. P. Allport, A. Aloisio, A. Alonso, F. Alonso, C. Alpigiani, A. A. Alshehri, M. Alstaty, B. Alvarez Gonzalez, D. Álvarez Piqueras, M. G. Alviggi, B. T. Amadio, Y. Amaral Coutinho, C. Amelung, D. Amidei, S. P. Amor Dos Santos, A. Amorim, S. Amoroso, G. Amundsen, C. Anastopoulos, L. S. Ancu, N. Andari, T. Andeen, C. F. Anders, J. K. Anders, K. J. Anderson, A. Andreazza, V. Andrei, S. Angelidakis, I. Angelozzi, A. Angerami, F. Anghinolfi, A. V. Anisenkov, N. Anjos, A. Annovi, C. Antel, M. Antonelli, A. Antonov, D. J. Antrim, F. Anulli, M. Aoki, L. Aperio Bella, G. Arabidze, Y. Arai, J. P. Araque, A. T. H. Arce, F. A. Arduh, J-F. Arguin, S. Argyropoulos, M. Arik, A. J. Armbruster, L. J. Armitage, O. Arnaez, H. Arnold, M. Arratia, O. Arslan, A. Artamonov, G. Artoni, S. Artz, S. Asai, N. Asbah, A. Ashkenazi, B. Åsman, L. Asquith, K. Assamagan, R. Astalos, M. Atkinson, N. B. Atlay, K. Augsten, G. Avolio, B. Axen, M. K. Ayoub, G. Azuelos, M. A. Baak, A. E. Baas, M. J. Baca, H. Bachacou, K. Bachas, M. Backes, M. Backhaus, P. Bagiacchi, P. Bagnaia, Y. Bai, J. T. Baines, M. Bajic, O. K. Baker, E. M. Baldin, P. Balek, T. Balestri, F. Balli, W. K. Balunas, E. Banas, Sw. Banerjee, A. A. E. Bannoura, L. Barak, E. L. Barberio, D. Barberis, M. Barbero, T. Barillari, M-S. Barisits, T. Barklow, N. Barlow, S. L. Barnes, B. M. Barnett, R. M. Barnett, Z. Barnovska-Blenessy, A. Baroncelli, G. Barone, A. J. Barr, L. Barranco Navarro, F. Barreiro, J. Barreiro Guimarães da Costa, R. Bartoldus, A. E. Barton, P. Bartos, A. Basalaev, A. Bassalat, R. L. Bates, S. J. Batista, J. R. Batley, M. Battaglia, M. Bauce, F. Bauer, H. S. Bawa, J. B. Beacham, M. D. Beattie, T. Beau, P. H. Beauchemin, P. Bechtle, H. P. Beck, K. Becker, M. Becker, M. Beckingham, C. Becot, A. J. Beddall, A. Beddall, V. A. Bednyakov, M. Bedognetti, C. P. Bee, L. J. Beemster, T. A. Beermann, M. Begel, J. K. Behr, A. S. Bell, G. Bella, L. Bellagamba, A. Bellerive, M. Bellomo, K. Belotskiy, O. Beltramello, N. L. Belyaev, O. Benary, D. Benchekroun, M. Bender, K. Bendtz, N. Benekos, Y. Benhammou, E. Benhar Noccioli, J. Benitez, D. P. Benjamin, J. R. Bensinger, S. Bentvelsen, L. Beresford, M. Beretta, D. Berge, E. Bergeaas Kuutmann, N. Berger, J. Beringer, S. Berlendis, N. R. Bernard, C. Bernius, F. U. Bernlochner, T. Berry, P. Berta, C. Bertella, G. Bertoli, F. Bertolucci, I. A. Bertram, C. Bertsche, D. Bertsche, G. J. Besjes, O. Bessidskaia Bylund, M. Bessner, N. Besson, C. Betancourt, A. Bethani, S. Bethke, A. J. Bevan, R. M. Bianchi, M. Bianco, O. Biebel, D. Biedermann, R. Bielski, N. V. Biesuz, M. Biglietti, J. Bilbao De Mendizabal, T. R. V. Billoud, H. Bilokon, M. Bindi, A. Bingul, C. Bini, S. Biondi, T. Bisanz, D. M. Bjergaard, C. W. Black, J. E. Black, K. M. Black, D. Blackburn, R. E. Blair, T. Blazek, I. Bloch, C. Blocker, A. Blue, W. Blum, U. Blumenschein, S. Blunier, G. J. Bobbink, V. S. Bobrovnikov, S. S. Bocchetta, A. Bocci, C. Bock, M. Boehler, D. Boerner, J. A. Bogaerts, D. Bogavac, A. G. Bogdanchikov, C. Bohm, V. Boisvert, P. Bokan, T. Bold, A. S. Boldyrev, M. Bomben, M. Bona, M. Boonekamp, A. Borisov, G. Borissov, J. Bortfeldt, D. Bortoletto, V. Bortolotto, K. Bos, D. Boscherini, M. Bosman, J. D. Bossio Sola, J. Boudreau, J. Bouffard, E. V. Bouhova-Thacker, D. Boumediene, C. Bourdarios, S. K. Boutle, A. Boveia, J. Boyd, I. R. Boyko, J. Bracinik, A. Brandt, G. Brandt, O. Brandt, U. Bratzler, B. Brau, J. E. Brau, W. D. Breaden Madden, K. Brendlinger, A. J. Brennan, L. Brenner, R. Brenner, S. Bressler, T. M. Bristow, D. Britton, D. Britzger, F. M. Brochu, I. Brock, R. Brock, G. Brooijmans, T. Brooks, W. K. Brooks, J. Brosamer, E. Brost, J. H Broughton, P. A. Bruckman de Renstrom, D. Bruncko, R. Bruneliere, A. Bruni, G. Bruni, L. S. Bruni, BH Brunt, M. Bruschi, N. Bruscino, P. Bryant, L. Bryngemark, T. Buanes, Q. Buat, P. Buchholz, A. G. Buckley, I. A. Budagov, F. Buehrer, M. K. Bugge, O. Bulekov, D. Bullock, H. Burckhart, S. Burdin, C. D. Burgard, A. M. Burger, B. Burghgrave, K. Burka, S. Burke, I. Burmeister, J. T. P. Burr, E. Busato, D. Büscher, V. Büscher, P. Bussey, J. M. Butler, C. M. Buttar, J. M. Butterworth, P. Butti, W. Buttinger, A. Buzatu, A. R. Buzykaev, S. Cabrera Urbán, D. Caforio, V. M. Cairo, O. Cakir, N. Calace, P. Calafiura, A. Calandri, G. Calderini, P. Calfayan, G. Callea, L. P. Caloba, S. 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I., Zimmermann, C., Zimmermann, S., Zinonos, Z., Zinser, M., Ziolkowski, M., Živković, L., Zobernig, G., Zoccoli, A., Nedden, Mzur, Zwalinski, L., Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ATLAS, Ancu, Lucian Stefan, Bilbao De Mendizabal, Javier, Calace, Noemi, Chatterjee, Avishek, Clark, Allan Geoffrey, Coccaro, Andrea, Delitzsch, Chris Malena, Della Volpe, Domenico, Ferrere, Didier, Golling, Tobias, Gonzalez Sevilla, Sergio, Gramling, Johanna Léna, Guescini, Francesco, Iacobucci, Giuseppe, Katre, Akshay, Khoo, Teng Jian, Lanfermann, Marie Christine, Lionti, Anthony Eric, March Ruiz, Luis, Mermod, Philippe, Nackenhorst, Olaf, Paolozzi, Lorenzo, Ristic, Branislav, Schramm, Steven, Sfyrla, Anna, Wu, Xin, ATLAS (IHEF, IoP, FNWI), Gravitation and Astroparticle Physics Amsterdam, XENON (IHEF, IoP, FNWI), Universidade do Minho, Aaboud, M, Chiodini, G, Gorini, E, Primavera, M, Spagnolo, S, Współautorami artykułu są członkowie ATLAS Collaboration w liczbie 2850, Tong, Baojia, Fakülteler, Mühendislik Fakültesi, Enerji Sistemleri Mühendisliği Bölümü, Türk Çakır, İlkay, and Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Centre National de la Recherche Scientifique (CNRS)
Subjects: Top quark, Большой адронный коллайдер, Physics and Astronomy (miscellaneous), Ciencias Físicas, High Energy Physics::Lattice, measured [channel cross section], Nuclear Theory, Monte Carlo method, Parton, transverse momentum dependence, 01 natural sciences, 7. Clean energy, rapidity dependence, High Energy Physics - Experiment, purl.org/becyt/ford/1 [https], Subatomär fysik, High Energy Physics - Experiment (hep-ex), Subatomic Physics, scattering [p p], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], parton, measured [total cross section], Nuclear Experiment, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), протон-протонные столкновения, QC, топ-кварки, 8000 GeV-cms, Physics, Quantum chromodynamics, Settore FIS/01 - Fisica Sperimentale, ATLAS experiment, Monte Carlo [numerical calculations], ATLAS, Computer Science::Computers and Society, CERN LHC Coll, medicine.anatomical_structure, proton–proton collision, LHC, colliding beams [p p], CIENCIAS NATURALES Y EXACTAS, Particle Physics - Experiment, Particle physics, Ciências Naturais::Ciências Físicas, 530 Physics, Ciências Físicas [Ciências Naturais], FOS: Physical sciences, lcsh:Astrophysics, ddc:500.2, Accelerator Physics and Instrumentation, single production [top], Nuclear physics, Atlas (anatomy), measured [differential cross section], quantum chromodynamics, lcsh:QB460-466, 0103 physical sciences, medicine, Physics::Atomic and Molecular Clusters, ddc:530, lcsh:Nuclear and particle physics. Atomic energy. Radioactivity, High Energy Physics, Engineering (miscellaneous), 010306 general physics, fiducial cross-section, Science & Technology, ATLAS detector, hep-ex, 010308 nuclear & particles physics, Scattering, High Energy Physics::Phenomenology, Física, Acceleratorfysik och instrumentering, purl.org/becyt/ford/1.3 [https], Astronomía, Nonlinear Sciences::Exactly Solvable and Integrable Systems, Experimental High Energy Physics, lcsh:QC770-798, High Energy Physics::Experiment, ATLAS, детектор, Fiducial marker, experimental results
Abstract: Detailed measurements of t-channel single top-quark production are presented. They use 20.2 fb−1 of data collected by the ATLAS experiment in proton–proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of 5.8% (top quark) and 7.8% (top antiquark), respectively. The total cross-sections are measured to be σtot(tq)=56.7+4.3−3.8pb for top-quark production and σtot(t¯q)=32.9+3.0−2.7pb for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be Rt=1.72±0.09. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the t-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available., We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DSM/IRFU, France; SRNSF, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, The Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, UK; DOE and NSF, USA. In addition, individual groups and members have received support from BCKDF, the Canada Council, CANARIE, CRC, Compute Canada, FQRNT, and the Ontario Innovation Trust, Canada; EPLANET, ERC, ERDF, FP7, Horizon 2020 and Marie Sklodowska-Curie Actions, European Union; Investissements d'Avenir Labex and Idex, ANR, Region Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; CERCA Programme Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, UK. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (The Netherlands), PIC (Spain), ASGC (Taiwan), RA, info:eu-repo/semantics/publishedVersion
Published: 2017

21. Production Of Σ(1385)± And Ξ(1530)0 In Proton–proton Collisions At √s = 7 Tev

Author: ALICE Collaboration, Ahammed Z., Bianchin C., Bielcik J., Bielcikova J., Bilandzic A., Bjelogrlic S., Blanco F., Blau D., Blume C., Bock F., Bogdanov A., Ahmad N., Boggild H., Bogolyubsky M., Bohmer F.V., Boldizsar L., Bombara M., Book J., Borel H., Borissov A., Bossu F., Botje M., Ahmed I., Botta E., Bottger S., Braun-Munzinger P., Bregant M., Breitner T., Broker T.A., Browning T.A., Broz M., Bruna E., Bruno G.E., Ahn S.U., Budnikov D., Buesching H., Bufalino S., Buncic P., Busch O., Buthelezi Z., Caffarri D., Cai X., Caines H., Calero Diaz L., Ahn S.A., Caliva A., Calvo Villar E., Camerini P., Carena F., Carena W., Castillo Castellanos J., Casula E.A.R., Catanescu V., Cavicchioli C., Ceballos Sanchez C., Aimo I., Cepila J., Cerello P., Chang B., Chapeland S., Charvet J.L., Chattopadhyay S., Chelnokov V., Cherney M., Cheshkov C., Aiola S., Cheynis B., Chibante Barroso V., Chinellato D.D., Chochula P., Chojnacki M., Choudhury S., Christakoglou P., Christensen C.H., Christiansen P., Chujo T., Ajaz M., Chung S.U., Cicalo C., Cifarelli L., Cindolo F., Cleymans J., Colamaria F., Colella D., Collu A., Colocci M., Conesa Balbastre G., Akindinov A., Conesa del Valle Z., Connors M.E., Contreras J.G., Cormier T.M., Corrales Morales Y., Cortese P., Cortes Maldonado I., Cosentino M.R., Costa F., Crochet P., Alam S.N., Cruz Albino R., Cuautle E., Cunqueiro L., Dainese A., Dang R., Danu A., Das D., Das I., Das K., Das S., Abelev B., Aleksandrov D., Dash A., Dash S., De S., Delagrange H., Deloff A., Denes E., D'Erasmo G., De Caro A., de Cataldo G., de Cuveland J., Alessandro B., De Falco A., De Gruttola D., De Marco N., De Pasquale S., de Rooij R., Diaz Corchero M.A., Dietel T., Dillenseger P., Divia R., Di Bari D., Alexandre D., Di Liberto S., Di Mauro A., Di Nezza P., Djuvsland O., Dobrin A., Dobrowolski T., Domenicis Gimenez D., Donigus B., Dordic O., Dorheim S., Alici A., Dubey A.K., Dubla A., Ducroux L., Dupieux P., Dutta Majumdar A.K., Hilden T.E., Ehlers R.J., Elia D., Engel H., Erazmus B., Alkin A., Erdal H.A., Eschweiler D., Espagnon B., Esposito M., Estienne M., Esumi S., Evans D., Evdokimov S., Fabris D., Faivre J., Alme J., Falchieri D., Fantoni A., Fasel M., Fehlker D., Feldkamp L., Felea D., Feliciello A., Feofilov G., Ferencei J., Fernandez Tellez A., Alt T., Ferreiro E.G., Ferretti A., Festanti A., Figiel J., Figueredo M.A.S., Filchagin S., Finogeev D., Fionda F.M., Fiore E.M., Floratos E., Altinpinar S., Floris M., Foertsch S., Foka P., Fokin S., Fragiacomo E., Francescon A., Frankenfeld U., Fuchs U., Furget C., Furs A., Altsybeev I., Fusco Girard M., Gaardhoje J.J., Gagliardi M., Gago A.M., Gallio M., Gangadharan D.R., Ganoti P., Gao C., Garabatos C., Garcia-Solis E., Alves Garcia Prado C., Gargiulo C., Garishvili I., Gerhard J., Germain M., Gheata A., Gheata M., Ghidini B., Ghosh P., Ghosh S.K., Gianotti P., Adam J., Andrei C., Giubellino P., Gladysz-Dziadus E., Glassel P., Gomez Ramirez A., Gonzalez-Zamora P., Gorbunov S., Gorlich L., Gotovac S., Graczykowski L.K., Grelli A., Andronic A., Grigoras A., Grigoras C., Grigoriev V., Grigoryan A., Grigoryan S., Grinyov B., Grion N., Grosse-Oetringhaus J.F., Grossiord J.-Y., Grosso R., Anguelov V., Guber F., Guernane R., Guerzoni B., Guilbaud M., Gulbrandsen K., Gulkanyan H., Gumbo M., Gunji T., Gupta A., Gupta R., Anielski J., Khan K.H., Haake R., Haaland O., Hadjidakis C., Haiduc M., Hamagaki H., Hamar G., Hanratty L.D., Hansen A., Harris J.W., Anticic T., Hartmann H., Harton A., Hatzifotiadou D., Hayashi S., Heckel S.T., Heide M., Helstrup H., Herghelegiu A., Herrera Corral G., Hess B.A., Antinori F., Hetland K.F., Hippolyte B., Hladky J., Hristov P., Huang M., Humanic T.J., Hussain N., Hussain T., Hutter D., Hwang D.S., Antonioli P., Ilkaev R., Ilkiv I., Inaba M., Innocenti G.M., Ionita C., Ippolitov M., Irfan M., Ivanov M., Ivanov V., Jacholkowski A., Aphecetche L., Jacobs P.M., Jahnke C., Jang H.J., Janik M.A., Jayarathna P.H.S.Y., Jena C., Jena S., Jimenez Bustamante R.T., Jones P.G., Jung H., Appelshauser H., Jusko A., Kadyshevskiy V., Kalinak P., Kalweit A., Kamin J., Kang J.H., Kaplin V., Kar S., Karasu Uysal A., Karavichev O., Arcelli S., Karavicheva T., Karpechev E., Kebschull U., Keidel R., Keijdener D.L.D., SVN M.K., Khan M.M., Khan P., Khan S.A., Khanzadeev A., Adamova D., Armesto N., Kharlov Y., Kileng B., Kim B., Kim D.W., Kim D.J., Kim J.S., Kim M., Kim S., Kim T., Arnaldi R., Kirsch S., Kisel I., Kiselev S., Kisiel A., Kiss G., Klay J.L., Klein J., Klein-Bosing C., Kluge A., Knichel M.L., Aronsson T., Knospe A.G., Kobdaj C., Kofarago M., Kohler M.K., Kollegger T., Kolojvari A., Kondratiev V., Kondratyeva N., Konevskikh A., Kovalenko V., Arsene I.C., Kowalski M., Kox S., Koyithatta Meethaleveedu G., Kral J., Kralik I., Kravcakova A., Krelina M., Kretz M., Krivda M., Krizek F., Arslandok M., Kryshen E., Krzewicki M., Kucera V., Kucheriaev Y., Kugathasan T., Kuhn C., Kuijer P.G., Kulakov I., Kumar J., Kurashvili P., Augustinus A., Kurepin A., Kurepin A.B., Kuryakin A., Kushpil S., Kweon M.J., Kwon Y., Ladron de Guevara P., Lagana Fernandes C., Lakomov I., Langoy R., Averbeck R., Lara C., Lardeux A., Lattuca A., La Pointe S.L., La Rocca P., Lea R., Leardini L., Lee G.R., Legrand I., Lehnert J., Awes T.C., Lemmon R.C., Lenti V., Leogrande E., Leoncino M., Leon Monzon I., Levai P., Li S., Lien J., Lietava R., Lindal S., Azmi M.D., Lindenstruth V., Lippmann C., Lisa M.A., Ljunggren H.M., Lodato D.F., Loenne P.I., Loggins V.R., Loginov V., Lohner D., Loizides C., Bach M., Lopez X., Lopez Torres E., Lu X.-G., Luettig P., Lunardon M., Luparello G., Ma R., Maevskaya A., Mager M., Mahapatra D.P., Aggarwal M.M., Badala A., Mahmood S.M., Maire A., Majka R.D., Malaev M., Maldonado Cervantes I., Malinina L., Mal'Kevich D., Malzacher P., Mamonov A., Manceau L., Baek Y.W., Manko V., Manso F., Manzari V., Marchisone M., Mares J., Margagliotti G.V., Margotti A., Marin A., Markert C., Marquard M., Bagnasco S., Martashvili I., Martin N.A., Martinengo P., Martinez M.I., Martinez Garcia G., Martin Blanco J., Martynov Y., Mas A., Masciocchi S., Masera M., Bailhache R., Masoni A., Massacrier L., Mastroserio A., Matyja A., Mayer C., Mazer J., Mazzoni M.A., Meddi F., Menchaca-Rocha A., Meninno E., Bala R., Mercado Perez J., Meres M., Miake Y., Mikhaylov K., Milano L., Milosevic J., Mischke A., Mishra A.N., Miskowiec D., Mitra J., Baldisseri A., Mitu C.M., Mlynarz J., Mohammadi N., Mohanty B., Molnar L., Montano Zetina L., Montes E., Morando M., Moreira De Godoy D.A., Moretto S., Baltasar Dos Santos Pedrosa F., Morreale A., Morsch A., Muccifora V., Mudnic E., Muhlheim D., Muhuri S., Mukherjee M., Muller H., Munhoz M.G., Murray S., Baral R.C., Musa L., Musinsky J., Nandi B.K., Nania R., Nappi E., Nattrass C., Nayak K., Nayak T.K., Nazarenko S., Nedosekin A., Barbera R., Nicassio M., Niculescu M., Niedziela J., Nielsen B.S., Nikolaev S., Nikulin S., Nikulin V., Nilsen B.S., Noferini F., Nomokonov P., Barile F., Nooren G., Norman J., Nyanin A., Nystrand J., Oeschler H., Oh S., Oh S.K., Okatan A., Okubo T., Olah L., Rinella G.A., Barnafoldi G.G., Oleniacz J., Oliveira Da Silva A.C., Onderwaater J., Oppedisano C., Ortiz Velasquez A., Oskarsson A., Otwinowski J., Oyama K., Ozdemir M., Sahoo P., Barnby L.S., Pachmayer Y., Pachr M., Pagano P., Paic G., Pajares C., Pal S.K., Palmeri A., Pant D., Papikyan V., Pappalardo G.S., Barret V., Pareek P., Park W.J., Parmar S., Passfeld A., Patalakha D.I., Paticchio V., Paul B., Pawlak T., Peitzmann T., Pereira Da Costa H., Bartke J., Pereira De Oliveira Filho E., Peresunko D., Perez Lara C.E., Pesci A., Peskov V., Pestov Y., Petracek V., Petran M., Petris M., Petrovici M., Basile M., Petta C., Piano S., Pikna M., Pillot P., Pinazza O., Pinsky L., Piyarathna D.B., Ploskon M., Planinic M., Pluta J., Bastid N., Pochybova S., Podesta-Lerma P.L.M., Poghosyan M.G., Pohjoisaho E.H.O., Polichtchouk B., Poljak N., Pop A., Porteboeuf-Houssais S., Porter J., Potukuchi 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Subjects: proton–proton collisions, Hera, Physics and Astronomy (miscellaneous), Regular Article - Experimental Physics, Engineering (miscellaneous), High Energy Physics::Phenomenology, Nuclear Theory, Search, Matematikk og naturvitenskap: 400::Fysikk: 430::Kjerne- og elementærpartikkelfysikk: 431 [VDP], Pi, nucl-ex, Pentaquark, Mathematics and natural scienses: 400::Physics: 430::Nuclear and elementary particle physics: 431 [VDP], High Energy Physics - Experiment, hadrons, nuclear physics, High Energy Physics::Experiment, Nuclear Physics - Experiment, Transverse-momentum, Deep-inelastic Scattering, Nuclear Experiment, heavy ions, Sigma+-(385), Csi0(1530) production, pp collisions
Abstract: The production of the strange and double-strange baryon resonances ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Sigma (1385)^{\pm }$$\end{document} ? ( 1385 ) ? , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Xi (1530)^{0}$$\end{document} ? ( 1530 ) 0 ) has been measured at mid-rapidity ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left| y \right| $$\end{document} y \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$
Published: 2015

22. Soldando neuronas

Author: Katchinskiy, Nir, Goez, Helly R., Dutta, Indrani, Godbout, Roseline, and Elezzabi, Abdulhakem Y.
Subjects: Health
Abstract: Un equipo de investigación ha desarrollado un método de conectar neuronas usando pulsos de láser ultracortos, una técnica revolucionaria que abre la puerta hacia nuevas oportunidades de investigación y tratamientos [...]
Published: 2016
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23. Caracterizacion de la calidad y seguridad de subproductos grasos de la cadena alimentaria para su uso en piensos

Author: R. Codony, F. Guardiola, P. Bondioli, P. C. Dutta, H. Budzinski, E. Abad, M. Parini, M. D. Baucells, E. Blas, RODRIGUEZ ESTRADA, MARIA TERESA, R. Codony, F. Guardiola, P. Bondioli, P.C. Dutta, M.T. Rodriguez, H. Budzinski, E. Abad, M. Parini, M.D. Baucell, and E. Blas
Subjects: SOTTO-PRODOTTI DELLA FILIERA ALIMENTARE, QUALITÀ, SICUREZZA, GRASSI AD USO ZOOTECNICO, CO-PRODOTTI DELLA FILIERA ALIMENTARE
Abstract: Gli autori di questo lavoro spiegano l’obiettivo del programma Feeding Fats Safety, il quale cerca di individuare i livelli di qualità e sicurezza dei grassi ad uso zootecnico, ottenuti come sotto-prodotti e co-prodotti della filiera alimentare. Si riportano gli effetti dell’utilizzo di questi grassi, a diverso livello di acidi grassi trans, contaminanti (diossine e composti diossino-simili), idrocarburi policiclici aromatici e ossidazione, sulla qualità delle carni e fegati di specie avicunicole. Questo programma intende stabilire quali sono gli usi più adatti per questi grassi, a fin di evitare problemi di inquinamento ambientale o processi di recupero troppo onerosi.
Published: 2008

24. A Generalization of Modular Sequence Spaces by Cesàro Mean of Order One

Author: Dutta, Hemen, Jebril, Iqbal H., Reddy, Surender, and Ravikumar, S.
Subjects: Completeness, 40A05, 40C05, Revistas, Orlicz function, Matemáticas, Cesµaro mean of order one, Facultad de Ciencias, Departamento de Matemática, AMS subject classifications, AK-BK space, 46A45, 46E30, Sequence space
Abstract: In this paper, we introduce the modular sequence spaces generated by Cesµaro mean of order one and give several properties relevant to algebraic and topological structures of these spaces. 1-13 hemen¡dutta08@rediffmail.com iqbal501@yahoo.com bsrmathou@yahoo.com drsravikumar1979@gmail.com
Published: 2011

25. Coristomas naso-orofaríngeos (pólipos pilosos) en adultos: un nuevo caso y revisión de la literatura

Author: Dutta, Mainak, Ghatak, Soumya, Roy, Soham, and Sinha, Ramanuj
Published: 2016
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26. Pilomatricoma perforante que se presenta como una úlcera en el hélix del pabellón auricular

Author: Dutta, Mainak, Ghatak, Soumya, Sarkar, Rahul, and Sengupta, Shaswati
Published: 2015
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27. Financial Econometrics: Problems, Models and Methods

Author: Dutta, Malini M.
Published: 2005

28. Lactic acid production by Lactobacillus plantarum L10 in a cell-retention continuous culture under different cultivation strategies

Author: Waldir D Estela-Escalante, Karthik Kumaran AP, Sourav Dutta, and Angélica Rodríguez-Best
Subjects: continuous cultivation, cell-recycle system, lactobacillus plantarum, l(+)-lactic acid, Biotechnology, TP248.13-248.65

29. Índice Mundial de Innovación

Author: Dutta, Soumitra, Lanvin, Bruno, León, Lorena Rivera, Wunsch-Vincent, Sacha., and World Intellectual Property Organization
Subjects: ComputingMilieux_GENERAL
Abstract: The Global Innovation Index 2021 takes the pulse of the most recent global innovation trends and ranks the innovation ecosystem performance of 132 economies, while highlighting innovation strengths and weaknesses and particular gaps in innovation metrics. In its new Global Innovation Tracker section, the report draws on a select set of indicators, including the effects on research and development expenditures or access to innovation finance, to provide a perspective on the impact of COVID-19 on global innovation performance., Description based upon print version of record.
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30. Correlatos psicosociales de calidad de vida en trastornos gastrointestinales funcionales

Author: A. Sundas, H. Sampath, S.C. Lamtha, G. Soohinda, and S. Dutta
Subjects: Functional gastrointestinal disorders, Quality of life, Psychosocial, Anxiety, Depression, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Resumen: Introducción y objetivos: Los trastornos gastrointestinales funcionales (TGIF) son enfermedades complejas caracterizadas por síntomas gastrointestinales, desprovistos de una patología orgánica subyacente. Son trastornos comunes, crónicos, recurrentes y discapacitantes, que disminuyen de manera significativa la calidad de vida (CdV). El objetivo del presente estudio transversal analítico fue evaluar la CdV y sus correlatos en pacientes adultos con TGIF. Materiales y métodos: Se realizó un estudio transversal, observacional, basado en hospital, en el departamento de gastroenterología ambulatoria en un hospital universitario de tercer nivel. Se utilizaron los criterios de diagnóstico de ROMA IV para identificar los TGIF. La ansiedad, depresión, estrategias de afrontamiento, apoyo social y CdV fueron evaluados con el índice de ansiedad y depresión en hospital, el inventario de estrategias de afrontamiento, el índice multidimensional del apoyo social percibido y el cuestionario de calidad de vida en trastornos digestivos funcionales, respectivamente. Resultados: De los 52 pacientes consecutivos diagnosticados con TGIF, la dispepsia funcional (51.92%) y el síndrome del intestino irritable (40.38%) fueron los más comunes. No existieron asociaciones significativas entre las variables sociodemográficas (edad, sexo, estado civil, nivel socioeconómico, nivel educativo, empleo, ocupación, patrón alimentario) y las puntuaciones de CdV (todos los valores de p > 0.05). La duración y el apoyo social no estuvieron significativamente asociados con la CdV (todos los valores de p > 0.05). Por otro lado, las variables psicológicas, como el afrontamiento de distanciamiento (r = −0.344, p = 0.012), la depresión (r = −0.600, p = 0.000) y la ansiedad (r = −0.590, p = 0.000), estuvieron significativamente asociados con la CdV. Conclusiones: A pesar de los avances en la neurogastroenterología, los pacientes continúan siendo afectados por los TGIF. Los factores psicológicos, en especial la depresión, contribuyen de manera significativa a una mala CdV en dichos pacientes. Esto debe ser abordado de manera holística y multidisciplinaria. El marco biopsicosocial, en la manera en que es aplicable a los TGIF, debe llevar a la inclusión de evaluaciones psicosociales en el manejo clínico e investigación de dichos trastornos. Abstract: Introduction and aim: Functional gastrointestinal disorders (FGIDs) are complex illnesses characterized by gastrointestinal symptoms, with no underlying organic pathology. They are common, chronic, recurrent, and disabling disorders that significantly impair quality of life (QoL). The aim of the present cross-sectional analytical study was to assess QoL and its correlates in adult patients with FGIDs. Materials and methods: A cross-sectional, observational, hospital-based study was conducted at the gastroenterology outpatient department of a tertiary care teaching hospital. The ROME IV diagnostic criteria were used to identify the FGIDs. Anxiety, depression, coping strategies, social support, and QoL were assessed by the hospital anxiety and depression scale, the coping strategies inventory, the multidimensional scale of perceived social support, and the functional digestive disorders quality-of-life questionnaire, respectively. Results: Of the 52 consecutive patients diagnosed with FGIDs, functional dyspepsia (51.92%) and irritable bowel syndrome (40.38%) were the most common. There were no significant associations between sociodemographic variables (age, sex, marital status, socioeconomic status, educational level, employment, occupation, dietary pattern) and QoL scores (all P values > .05). Duration and social support were not significantly associated with QoL (all P values > .05). In contrast, psychological variables, such as disengagement coping (r = −0.344, P = .012), depression (r = −0.600, P = .000), and anxiety (r = −0.590, P = .000), were significantly correlated with QoL. Conclusions: Despite advances in neurogastroenterology, patients continue to be disabled by FGIDs. Psychological factors, especially depression, significantly contribute to poor QoL in those patients and should be addressed in a holistic, multidisciplinary way. The biopsychosocial framework, as it applies to FGIDs, should lead to the inclusion of psychosocial assessments in the clinical management and research of those disorders.
Published: 2024
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31. Los polimorfismos de ITPA no predicen un riesgo adicional más allá de TPMT y NUDT15 para citopenia inducida por tiopurina en la enfermedad inflamatoria intestinal

Author: A. Jena, N. Grover, P. Bhatia, M. Singh, D. Lad, K.K. Prasad, H. Singh, U. Dutta, and V. Sharma
Subjects: Ulcerative colitis, Crohn's disease, Azathioprine, 6-mercaptopurine, Inflammatory bowel disease, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract: Resumen: Introducción y objetivos: La leucopenia relacionada con tiopurina está asociada con polimorfismos en la tiopurina metiltransferasa (TPMT, por sus siglas en inglés) y con el gen NUDT15. Sin embargo, estos polimorfismos explican solo una fracción de la leucopenia relacionada con tiopurina. Nuestro objetivo fue estudiar el papel de un polimorfismo de pirofosfatasa inosina trifosfato (ITPA, por sus siglas en inglés) en pacientes con enfermedad inflamatoria intestinal (EII) y la leucopenia relacionada con tiopurina que no fue explicada por los polimorfismos de TPMT o NUDT15. Material y métodos: Reclutamos a pacientes consecutivos con EII tratados con tiopurinas (azatioprina o 6-mercaptopurina) entre enero del 2019 y marzo del 2020, en un centro de tercer nivel en el norte de la India. La presencia de polimorfismo en ITPA (C.94C>A) fue evaluada en todos los pacientes, junto con su asociación a la leucopenia relacionada con tiopurina. Resultados: De los 33 pacientes (de un total de 119 pacientes) que desarrollaron leucopenia, 8 presentaron polimorfismo en TPMT (n = 1) o NUDT15 (n = 7). De los 111 pacientes restantes, la edad promedio fue de 36.36 ± 13.54 años y 57 (51.3%) fueron varones. Veinticinco (21.01%) presentaron leucopenia no explicada. El polimorfismo en ITPA fue detectado en 4 (16%) pacientes del grupo de leucopenia no explicada y en 24 (27.9%) pacientes del grupo sin leucopenia (p = 0.228). La razón de momios para predecir la leucopenia con polimorfismo en ITPA fue de 0.4921 (IC 95%: 0.1520-1.5830; p = 0.234). Conclusión: El polimorfismo en ITPA (C.94C>A) fue frecuentemente detectado en la población de estudio, pero no fue predictivo para leucopenia en pacientes con EII en terapia con tiopurina. Abstract: Introduction and aim: Thiopurine-related leukopenia is associated with polymorphisms in the thiopurine methyltransferase (TPMT) and nucleoside diphosphate-linked moiety X type motif 15 (NUDT15) genes. However, those polymorphisms explain only a fraction of thiopurine-related leukopenia. Our aim was to study the role of an inosine triphosphate pyrophosphatase (ITPA) polymorphism in patients with inflammatory bowel disease (IBD) and thiopurine-related leukopenia that was unexplained by the TPMT and NUDT15 polymorphisms. Material and methods: We enrolled consecutive IBD patients on thiopurines (azathioprine or 6-mercaptopurine) from January 2019-March 2020, at a tertiary care center in North India. The presence of the ITPA (C.94C>A) polymorphism was evaluated in all patients, along with its association with thiopurine-related leukopenia. Results: Of the 33 patients (from a total of 119 patients) that developed leukopenia, 8 had the TPMT (n = 1) or NUDT15 (n = 7) polymorphism. Of the remaining 111 patients, their mean age was 36.36 ± 13.54 years and 57 (51.3%) were males. Twenty-five (21.01%) had unexplained leukopenia. The ITPA polymorphism was detected in 4 (16%) patients in the unexplained leukopenia group and 24 (27.9%) patients in the non-leukopenia group (P=.228). The odds ratio for predicting leukopenia with the ITPA polymorphism was 0.4921 (95% CI: 0.1520-1.5830; P=.234). Conclusion: The ITPA (C.94C>A) polymorphism was frequently detected in the study population but was not predictive for leukopenia in patients with IBD on thiopurine therapy.
Published: 2024
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32. New record of Rhopalostroma brevistipita- tum (Hypoxylaceae) and checklist of Rhopalostroma species from India

Author: Gautam Dutta and Rajiv Singh
Subjects: Fungi, saprophytic, taxonomy, Plant culture, SB1-1110, Botany, QK1-989
Abstract: Rhopalostroma is one of genera bearing unique taxonomic characters in the family Hypoxylaceae, within the order Xylariales of the class Sordariomycetes. Species of Rhopalostroma predominantly grow on dead wood under saprophytic conditions and are restrictedly distributed in tropical and subtropical areas, including Africa and South Asia. In India, Rhopalostroma was previously reported only from the southern part of the country. This paper presents a new record of R. brevistipitatum from India, specifically from the northeastern state of Arunachal Pradesh (AP). The paper also includes a morphological description and documentations of the species accompanied by photographs, and provides a checklist of Rhopalostroma species found in India.
Published: 2023
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32 results on '"Dutta, A."'

1. Correlatos psicosociales de calidad de vida en trastornos gastrointestinales funcionales

2. Los polimorfismos de ITPA no predicen un riesgo adicional más allá de TPMT y NUDT15 para citopenia inducida por tiopurina en la enfermedad inflamatoria intestinal

3. Effectiveness of Digital Interventions for Deficit-Oriented and Asset-Oriented Psychological Outcomes in the Workplace: A Systematic Review and Narrative Synthesis

4. An Efficient Convolutional Neural Network to Detect and Count Blood Cells

5. A deep learning approach for epilepsy seizure detection using EEG signals

6. Artificial Intelligence based Multi-sensor COVID-19 Screening Framework

7. Automatic diagnosis of lower back pain using gait patterns

8. On the distribution of Vagrans egista (Cramer, 1780) in West Bengal, India

9. Potential of Trichoderma species as biofertilizer and biological control on Oryza sativa L. cultivation

10. Optimization of enzymatic hydrolysis of Pleurotus ostreatus derived proteins through RSM and evaluation of nutritional and functional qualities of mushroom protein hydrolysates

11. Minor Components and Oxidative Stability as Determined by DSC of Fractionated and Lipase-catalyzed Structured Rapeseed Oil

12. Lipid components and oxidative status of selected specialty oils

13. Combining ability analysis for yield and yield components in bold grained rice (Oryza sativa L.) of Assam

14. On two new types of statistical convergence and a summability method/Dois novos tipos de convergencia estatistica e o metodo de sumabilidade

15. p-bounded variation fuzzy real-valued double sequence space/Variacao de fuzzy limitada a p de valor real de espacos de sequencia duplo

16. Combining ability analysis for yield and yield components in bold grained rice (Oryza sativa L.) of Assam

17. Sterols and sterol oxides in the potato products, and sterols in the vegetable oils used for industrial frying operations

18. Construct validity of writing motivation questionnaire

19. Cluster analysis for test-retest reliability

20. Fiducial, total and differential cross-section measurements of t-channel single top quark production in pp collisions at 8TeV using data collected by the ATLAS detector

21. Production Of Σ(1385)± And Ξ(1530)0 In Proton–proton Collisions At √s = 7 Tev

22. Soldando neuronas

23. Caracterizacion de la calidad y seguridad de subproductos grasos de la cadena alimentaria para su uso en piensos

24. A Generalization of Modular Sequence Spaces by Cesàro Mean of Order One

25. Coristomas naso-orofaríngeos (pólipos pilosos) en adultos: un nuevo caso y revisión de la literatura

26. Pilomatricoma perforante que se presenta como una úlcera en el hélix del pabellón auricular

27. Financial Econometrics: Problems, Models and Methods

28. Lactic acid production by Lactobacillus plantarum L10 in a cell-retention continuous culture under different cultivation strategies

29. Índice Mundial de Innovación

30. Correlatos psicosociales de calidad de vida en trastornos gastrointestinales funcionales

31. Los polimorfismos de ITPA no predicen un riesgo adicional más allá de TPMT y NUDT15 para citopenia inducida por tiopurina en la enfermedad inflamatoria intestinal

32. New record of Rhopalostroma brevistipita- tum (Hypoxylaceae) and checklist of Rhopalostroma species from India

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