13,574 results on '"K Ghosh"'
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102. Automating the Selection of Container Orchestrators for Service Deployment.
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Pravar Chaurasia, Shubha Brata Nath, Sourav Kanti Addya, and Soumya K. Ghosh 0001
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- 2022
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103. Volunteer Selection in Collaborative Crowdsourcing with Adaptive Common Working Time Slots.
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Riya Samanta, Vaibhav Saxena, Soumya K. Ghosh 0001, and Sajal K. Das 0001
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- 2022
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104. An analytic hierarchy process (AHP) based UAV selection mechanism for beyond 5G networks.
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Sridevi S, Jacob Augustine, and Shankar K. Ghosh
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- 2022
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105. Distributed Systems: Theory and Applications
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Ratan K. Ghosh, Hiranmay Ghosh
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- 2023
106. Study of Thermal Insulation Performance of Layered Jute Nonwoven: A Sustainable Material
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Kartick K. Samanta, Izhar Mustafa, Sayandeep Debnath, Esha Das, G. Basu, and S. K. Ghosh
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thermal insulation ,jute non-woven ,pore-size ,bulk density ,gas pockets ,Science ,Textile bleaching, dyeing, printing, etc. ,TP890-933 - Abstract
An eco-friendly sustainable thermal insulator has been developed as a replacement of some commercially available manmade materials to control heat transfer in case of buildings, and semi-permanent/temporary structures. Jute felts were prepared by needle pinching of fiber fleece. It is a self-sustained semi-rigid structure and could be placed on various surface profiles of the building/structure due to its balanced flexural rigidity and surface property of fiber. Effect of areal density, thickness, and number of layers of jute felt on its major thermal insulation property parameters were studied. Some major structural parameters of felts viz., pore size, bulk density, and air fraction as gas pockets in fibrous structure were analyzed and correlated with the insulation property. Felt having 500 g/m2 areal density showed best specific thermal insulation performance. When it was used in four layers, its thermal insulation value reached up to 341 m2K/kW, which is much comparable to those of glass wool (320 m2K/kW), nitrile rubber (320 m2K/kW), and polystyrene (381 m2K/kW) insulators. The cost of jute felts ($ 2.81 for four layers of 500 g/m2) was much comparable to synthetics ($2.9 for glass wool and $ 2.7 for nitrile rubber) of similar thermal insulation value. It also facilitates remarkable saving of costly floor space to the extent of 28% as compared to synthetics. The ease of tailorability of jute felt was also studied by measuring drapability, tensile strength, tear strength, and energy required to cut the felt. Inherent multiple lumens within fiber structure, partial anisotropy of polymer chains, and innumerable tiny gas pockets within the felt structure are the major reasons for the high thermal insulation of jute felt.
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- 2022
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107. Chaperone-assisted E3 ligase CHIP: A double agent in cancer
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Sunny Kumar, Malini Basu, and Mrinal K. Ghosh
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Chaperones (HSC70/HSP70 & HSP90) ,CHIP ,Oncogene ,Therapy ,Tumor suppressor ,Ubiquitin proteasome system (UPS) ,Medicine (General) ,R5-920 ,Genetics ,QH426-470 - Abstract
The carboxy-terminus of Hsp70-interacting protein (CHIP) is a ubiquitin ligase and co-chaperone belonging to Ubox family that plays a crucial role in the maintenance of cellular homeostasis by switching the equilibrium of the folding-refolding mechanism towards the proteasomal or lysosomal degradation pathway. It links molecular chaperones viz. HSC70, HSP70 and HSP90 with ubiquitin proteasome system (UPS), acting as a quality control system. CHIP contains charged domain in between N-terminal tetratricopeptide repeat (TPR) and C-terminal Ubox domain. TPR domain interacts with the aberrant client proteins via chaperones while Ubox domain facilitates the ubiquitin transfer to the client proteins for ubiquitination. Thus, CHIP is a classic molecule that executes ubiquitination for degradation of client proteins. Further, CHIP has been found to be indulged in cellular differentiation, proliferation, metastasis and tumorigenesis. Additionally, CHIP can play its dual role as a tumor suppressor as well as an oncogene in numerous malignancies, thus acting as a double agent. Here, in this review, we have reported almost all substrates of CHIP established till date and classified them according to the hallmarks of cancer. In addition, we discussed about its architectural alignment, tissue specific expression, sub-cellular localization, folding-refolding mechanisms of client proteins, E4 ligase activity, normal physiological roles, as well as involvement in various diseases and tumor biology. Further, we aim to discuss its importance in HSP90 inhibitors mediated cancer therapy. Thus, this report concludes that CHIP may be a promising and worthy drug target towards pharmaceutical industry for drug development.
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- 2022
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108. Assessment of physiological responses and milk production in Jersey crossbred cows at different stratum of THI inside the cow barn
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DILIP KUMAR MANDAL, SAROJ RAI, A CHATTERJEE, C BHAKAT, T K DUTTA, and M K GHOSH
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Jersey Crossbred cow, Milk yield, Natural heat stress, Physiological response, THI ,Animal culture ,SF1-1100 - Abstract
Environmental heat stress is one of the restrictive factors for optimum production of dairy cows. Present study was conducted to assess alteration in cardinal physiological responses, heat tolerance indices and milk yield in Jersey crossbred cows at three levels of thermal humidity index (THI), viz. THI-1 (80). THI levels significantly influenced rectal temperature (RT) and respiration rate (RR), but not the pulse rate. With increase in THI level 1 to 3, the RT and RR increased significantly by 0.75°F and 10.70 counts/min during morning and 0.92°F and 12.5 counts/min during afternoon, respectively. The respective enhancement between THI-2 to THI-3 was 0.48°F and 7.06/min in morning and 0.58°F and 7.45/min in afternoon. Among the cardinal physiological responses, breathing rate was the most diurnal variable parameter and it increased by 22-29% from 8:00 am to 2:00 pm with enhancement of stress levels fromTHI-1 to THI-3. Measures of heat tolerance indices revealed that cows were comfortable at THI-1 and discomfort levels were prominent at THI > 80. Low yielders (80. In case of high yielders (>10 kg/day) increase in THI level 1 to 2, DMY did not drop significantly; in contrast, with increase of THI-2 to THI-3, the DMY declined. It was concluded that enhanced breathing rate was the most prominent bio-indicator of natural heat stress in Jersey crossbred cows and at THI>80 production decline due to natural heat stress was nonsignificant in low yielders, whereas highly significant in high yielders (more than 21%). It was recommended that at THI >80, inside of cow shed needs immediate amelioration measures to diminish production losses and high yielders (>10 kg/day) warrant more attention than low yielders during heat stress.
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- 2023
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109. Grace, Inspiration, Fulfillment, Timeless, Soulful (GIFTS): The Why and How of Podcasts for Recognition and Mentoring of Faculty in Medicine
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Ivana T. Croghan, Amit K. Ghosh, Amy M. Fratianni, Carole L. Kuhle, Ruth E. Johnson, James Taylor Hays, James A. Cassmann, Richard T. Andresen, and Anjali Bhagra
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Computer applications to medicine. Medical informatics ,R858-859.7 ,Public aspects of medicine ,RA1-1270 - Abstract
This commentary offers the reader an alternative to mentoring through the use of PODCASTS. By providing the listener with an understanding of the challenges and opportunities for self-reflection and sharing of experiences by the interviewees, we are impacting the listener attitudes and future goals through lessons learned.
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- 2023
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110. Comments on Sen's classical entropy function for static and rotating AdS4 black holes
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Jewel K. Ghosh and Leopoldo A. Pando Zayas
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Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
We consider various aspects of Sen's classical entropy function formalism for asymptotically AdS4 black holes with emphasis on its efficacy to capture higher derivative corrections to the Bekenstein-Hawking entropy. The formalism has the important advantage of being based on near-horizon symmetries and does not require knowledge of the full interpolating supergravity solution, nor of its AdS4 asymptotics. For the static case, we focus on applying the entropy function formalism in the presence of various higher derivative terms motivated in conformal supergravities; we find agreement with recently reported results utilizing the full black hole solutions and Wald's entropy formula. For the rotating case, we demonstrate that a modified version of the formalism generates a background that coincides precisely with the Bardeen-Horowitz limit of known rotating, electrically charged AdS4 black holes and provides a swift approach to the black hole entropy, including higher derivatives corrections. We conclude that Sen's classical entropy function formalism is a viable and highly efficient approach to capturing higher-derivative corrections to the entropy of asymptotically AdS4 black holes albeit naturally missing certain relations arising from global aspects of the full black hole solution.
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- 2023
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111. Organic solar cells pros and cons: Outlooks toward semitransparent cell efficiency and stability
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Bablu K. Ghosh, Prafulla Kumar Jha, Swapan K. Ghosh, and Tapan K. Biswas
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Physics ,QC1-999 - Abstract
Organic solar cells (OSCs) are promising for low emissive photovoltaic technology. Excitonic absorption and charge generation to transport process OSC energy loss lessening are central. In this context, donor–acceptor barrier offset, related binding, and thermal effect on energy loss are the key challenge. Semitransparent organic solar cell visible band transmission and near infrared band absorption are anticipated. Near infrared band absorption in a Si material solar cell is higher that supports more energy conversion. Moreover, greater carrier selectivity and open circuit voltage (Voc) is incredible to increase the energy efficiency. OSC utmost absorption but carrier generation and charge transfer state donor–acceptor barrier offset increases carrier recombination loss. Upon analysis of small molecule donors and polymers along with non-fullerene and previously studied fullerene acceptors, it is realized that active material morphology, thickness, and interface design are impending to overcome the energy loss. For efficiency–transparency trade-off as well as stability problem lessening purpose thin active materials and interface, their absorption band tenability and carrier selectivity are main requisites. In this scope, very thin non-fullerene acceptors in ternary blend heterostructures and innovative-transparent hole transport layers can play a vital role. Therefore, recombination loss lessening and transparency purpose near infrared band absorbent thin active layer ternary blend and transparent electrodes of a thin hetero-interface predominant field effect over the thermal effect are reported in the efficiency and stability scope.
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- 2023
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112. Understanding the effect of irradiation temperature on microstructural evolution of 20MnMoNi55 steel
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A. P. Srivastava, S. K. Sharma, S. Saini, S. Neogy, S. K. Ghosh, D. Kabiraj, and R. Tewari
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Medicine ,Science - Abstract
Abstract In this study, the effect of irradiation temperature on microstructural evolution of Indian RPV steel is reported. This study, by virtue of helium ion irradiation at 77, 300 and 573 K, could bring out the effect of the irradiation induced defects on microstructural and mechanical property changes at different stages of their existence starting from the state of cascade damage till the point of their free migration. Irradiation experiments were performed with varying ion energies to achieve nearly uniform irradiation damage of 0.05, 0.2 and 3 dpa in a ~ 300 nm wide region. Irradiated samples were characterized using GIXRD, PAS, TEM and nanoindentation. Unirradiated samples showed predominant presence of a combination of di- and tri-vacancy type of defects. Most of the dislocations present in unirradiated samples were screw dislocations, while mixed type was noticed upon irradiation irrespective of the irradiation temperature. PAS study showed formation of distinct defect types at different irradiation temperatures. TEM study confirmed formation of dislocation loops and defect clusters on irradiation. Higher irradiation temperatures resulted in the extension of the width of the damage region owing to increased migration of defects.
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- 2022
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113. Modelling Pages Left Blank in Univesity Examination
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Suman K. Ghosh and Subhradev Sen
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maximum likelihood estimation ,utility function ,environment protection ,truncated Poisson distribution ,Statistics ,HA1-4737 ,Probabilities. Mathematical statistics ,QA273-280 - Abstract
Trees are the main sources of paper production, in most of the cases, as far as the intellectual usages are concerned. However, our planet is lacking in that particular natural resource due to rapid growth of population, urbanization, and increased pollution, more importantly non-judicial utilization of such kind. Indian education sectors (schools, colleges, universities) utilize a major part in consumption of papers as a classical practice for conducting examinations and other documentation activities. Our attempt in this article is to investigate and provide an optimal estimate of the number of pages actually required in answer booklet in higher education sector. Truncated Poisson distribution is found to be the best fit for the data on number of pages left blank in an answer booklet after conduction of semester end examinations. To predict the outcome based on various factors such as, lines per pages, words per line, types of examinations etc. suitable regression modelling is performed. A real data set, collected over a period of one month, has been analysed to illustrate the methods and conclusion is accomplished in the direction of cost reduction, saving of papers, and in turn, logical uses of natural resource to protect environmental interests.
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- 2023
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114. Neurological damages in COVID‐19 patients: Mechanisms and preventive interventions
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Sibani Sarkar, Subhajit Karmakar, Malini Basu, Pratyasha Ghosh, and Mrinal K Ghosh
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antioxidant ,COVID‐19 ,ischemia ,neurological damage ,prevention therapy ,ROS ,Medicine - Abstract
Abstract Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), a novel coronavirus, causes coronavirus disease 2019 (COVID‐19) which led to neurological damage and increased mortality worldwide in its second and third waves. It is associated with systemic inflammation, myocardial infarction, neurological illness including ischemic strokes (e.g., cardiac and cerebral ischemia), and even death through multi‐organ failure. At the early stage, the virus infects the lung epithelial cells and is slowly transmitted to the other organs including the gastrointestinal tract, blood vessels, kidneys, heart, and brain. The neurological effect of the virus is mainly due to hypoxia‐driven reactive oxygen species (ROS) and generated cytokine storm. Internalization of SARS‐CoV‐2 triggers ROS production and modulation of the immunological cascade which ultimately initiates the hypercoagulable state and vascular thrombosis. Suppression of immunological machinery and inhibition of ROS play an important role in neurological disturbances. So, COVID‐19 associated damage to the central nervous system, patients need special care to prevent multi‐organ failure at later stages of disease progression. Here in this review, we are selectively discussing these issues and possible antioxidant‐based prevention therapies for COVID‐19‐associated neurological damage that leads to multi‐organ failure.
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- 2023
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115. BandX : An Intelligent IoT-band for Human Activity Recognition based on TinyML.
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Bidyut Saha, Riya Samanta, Soumya K. Ghosh 0001, and Ram Babu Roy
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- 2023
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116. Containerized deployment of micro-services in fog devices: a reinforcement learning-based approach.
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Shubha Brata Nath, Subhrendu Chattopadhyay, Raja Karmakar, Sourav Kanti Addya, Sandip Chakraborty 0001, and Soumya K. Ghosh 0001
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- 2022
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117. MCG: Mobility-Aware Computation Offloading in Edge Using Weighted Majority Game.
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Anwesha Mukherjee, Shreya Ghosh 0002, Debashis De, and Soumya K. Ghosh 0001
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- 2022
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118. Stark: Fast and Scalable Strassen's Matrix Multiplication Using Apache Spark.
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Chandan Misra, Sourangshu Bhattacharya, and Soumya K. Ghosh 0001
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- 2022
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119. A Novel Fixed-Time Protocol for First-Order Consensus Tracking With Disturbance Rejection.
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Yong Xu 0003, Zhaozhan Yao, Renquan Lu, and Bijoy K. Ghosh
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- 2022
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120. A Multilayered Adaptive Recurrent Incremental Network Model for Heterogeneity-Aware Prediction of Derived Remote Sensing Image Time Series.
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Monidipa Das, Soumya K. Ghosh 0001, and Sanghamitra Bandyopadhyay
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- 2022
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121. LYRIC: Deadline and Budget Aware Spatio-Temporal Query Processing in Cloud.
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Jaydeep Das, Shreya Ghosh 0002, Soumya K. Ghosh 0001, and Rajkumar Buyya
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- 2022
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122. RESCUE: Enabling green healthcare services using integrated IoT-edge-fog-cloud computing environments.
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Jaydeep Das, Shreya Ghosh 0002, Anwesha Mukherjee, Soumya K. Ghosh 0001, and Rajkumar Buyya
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- 2022
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123. STOPPAGE: Spatio-temporal data driven cloud-fog-edge computing framework for pandemic monitoring and management.
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Shreya Ghosh 0002, Anwesha Mukherjee, Soumya K. Ghosh 0001, and Rajkumar Buyya
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- 2022
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124. Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots.
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Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh 0001, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer F. Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, and Rajkumar Buyya
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- 2023
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125. Unbiasing Enhanced Sampling on a High-dimensional Free Energy Surface with Deep Generative Model.
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Yikai Liu, Tushar K. Ghosh, Guang Lin, and Ming Chen
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- 2023
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126. Measurements of the groomed and ungroomed jet angularities in pp collisions at s $$ \sqrt{s} $$ = 5.02 TeV
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The ALICE collaboration, S. Acharya, D. Adamová, A. Adler, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, Z. Akbar, A. Akindinov, M. Al-Turany, S. N. Alam, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, Y. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, T. Alt, L. Altenkamper, I. Altsybeev, M. N. Anaam, C. Andrei, D. Andreou, A. Andronic, M. Angeletti, V. Anguelov, F. Antinori, P. Antonioli, C. Anuj, N. Apadula, L. Aphecetche, H. Appelshäuser, S. Arcelli, R. Arnaldi, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, S. Aziz, M. D. Azmi, A. Badalà, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, M. Ball, D. Banerjee, R. Barbera, L. Barioglio, M. Barlou, G. G. Barnaföldi, L. S. Barnby, V. Barret, C. Bartels, K. Barth, E. Bartsch, F. Baruffaldi, N. Bastid, S. Basu, G. Batigne, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, V. Belyaev, G. Bencedi, S. Beole, A. Bercuci, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, I. R. Bhat, M. A. Bhat, B. Bhattacharjee, P. Bhattacharya, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, J. Biernat, A. Bilandzic, G. Biro, S. Biswas, J. T. Blair, D. Blau, M. B. Blidaru, C. Blume, G. Boca, F. Bock, A. Bogdanov, S. Boi, J. Bok, L. Boldizsár, A. Bolozdynya, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, H. Bossi, E. Botta, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, O. Bugnon, P. Buhler, Z. Buthelezi, J. B. Butt, S. A. Bysiak, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, R. S. Camacho, P. Camerini, F. D. M. Canedo, F. Carnesecchi, R. Caron, J. Castillo Castellanos, E. A. R. Casula, F. Catalano, C. Ceballos Sanchez, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, A. Chauvin, T. G. Chavez, T. Cheng, C. Cheshkov, B. Cheynis, V. Chibante Barroso, D. D. Chinellato, S. Cho, P. Chochula, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, C. Cicalo, L. Cifarelli, F. Cindolo, M. R. Ciupek, G. Clai, J. Cleymans, F. Colamaria, J. S. Colburn, D. Colella, A. Collu, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, T. M. Cormier, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, P. Crochet, R. Cruz-Torres, E. Cuautle, P. Cui, L. Cunqueiro, A. Dainese, M. C. Danisch, A. Danu, I. Das, P. Das, S. Das, S. Dash, S. De, A. De Caro, G. de Cataldo, L. De Cilladi, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, S. Deb, H. F. Degenhardt, K. R. Deja, L. Dello Stritto, S. Delsanto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, R. A. Diaz, T. Dietel, Y. Ding, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, J. Do, A. Dobrin, B. Dönigus, O. Dordic, A. K. Dubey, A. Dubla, S. Dudi, M. Dukhishyam, P. Dupieux, N. Dzalaiova, T. M. Eder, R. J. Ehlers, V. N. Eikeland, F. Eisenhut, D. Elia, B. Erazmus, F. Ercolessi, F. Erhardt, A. Erokhin, M. R. Ersdal, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, A. Fantoni, M. Fasel, P. Fecchio, A. Feliciello, G. Feofilov, A. Fernández Téllez, A. Ferrero, A. Ferretti, V. J. G. Feuillard, J. Figiel, S. Filchagin, D. Finogeev, F. M. Fionda, G. Fiorenza, F. Flor, A. N. Flores, S. Foertsch, P. Foka, S. Fokin, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, A. Gal, C. D. Galvan, P. Ganoti, C. Garabatos, J. R. A. Garcia, E. Garcia-Solis, K. Garg, C. Gargiulo, A. Garibli, K. Garner, P. Gasik, E. F. Gauger, A. Gautam, M. B. Gay Ducati, M. Germain, P. Ghosh, S. K. Ghosh, M. Giacalone, P. Gianotti, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, D. J. Q. Goh, V. Gonzalez, L. H. González-Trueba, S. Gorbunov, M. Gorgon, L. Görlich, S. Gotovac, V. Grabski, L. K. Graczykowski, L. Greiner, A. Grelli, C. Grigoras, V. Grigoriev, A. Grigoryan, S. Grigoryan, O. S. Groettvik, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gunji, W. Guo, A. Gupta, R. Gupta, S. P. Guzman, L. Gyulai, M. K. Habib, C. Hadjidakis, G. Halimoglu, H. Hamagaki, G. Hamar, M. Hamid, R. Hannigan, M. R. Haque, A. Harlenderova, J. W. Harris, A. Harton, J. A. Hasenbichler, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. Hayashi, S. T. Heckel, E. Hellbär, H. Helstrup, T. Herman, E. G. Hernandez, G. Herrera Corral, F. Herrmann, K. F. Hetland, H. Hillemanns, C. Hills, B. Hippolyte, B. Hofman, B. Hohlweger, J. Honermann, G. H. Hong, D. Horak, S. Hornung, A. Horzyk, R. Hosokawa, Y. Hou, P. Hristov, C. Hughes, P. Huhn, T. J. Humanic, H. Hushnud, L. A. Husova, A. Hutson, D. Hutter, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, M. S. Islam, M. Ivanov, V. Ivanov, V. Izucheev, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, A. Jalotra, M. A. Janik, T. Janson, M. Jercic, O. Jevons, A. A. P. Jimenez, F. Jonas, P. G. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. Kalweit, V. Kaplin, S. Kar, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, A. Kazantsev, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, Z. Khabanova, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, J. S. Kim, M. Kim, S. Kim, T. Kim, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, A. G. Knospe, C. Kobdaj, M. K. Köhler, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, S. D. Koryciak, L. Koska, A. Kotliarov, O. Kovalenko, V. Kovalenko, M. Kowalski, I. Králik, A. Kravčáková, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, E. Kryshen, M. Krzewicki, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, A. Lakrathok, M. Lamanna, R. Langoy, K. Lapidus, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, T. Lazareva, R. Lea, J. Lehrbach, R. C. Lemmon, I. León Monzón, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, A. Liu, D. H. Liu, J. Liu, I. M. Lofnes, V. Loginov, C. Loizides, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, T. Mahmoud, A. Maire, M. Malaev, N. M. Malik, Q. W. Malik, L. Malinina, D. Mal’Kevich, N. Mallick, P. Malzacher, G. Mandaglio, V. Manko, F. Manso, V. Manzari, Y. Mao, J. Mareš, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, M. Marquard, N. A. Martin, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, A. Mastroserio, A. M. Mathis, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, M. A. Mazzoni, J. E. Mdhluli, A. F. Mechler, F. Meddi, Y. Melikyan, A. Menchaca-Rocha, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, M. A. Molander, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, L. A. P. Moreno, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, E. Mudnic, D. Mühlheim, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, R. Nair, B. K. Nandi, R. Nania, E. Nappi, M. U. Naru, A. F. Nassirpour, A. Nath, C. Nattrass, A. Neagu, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, B. S. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, T. Osako, A. Oskarsson, J. Otwinowski, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, A. Palasciano, J. Pan, S. Panebianco, P. Pareek, J. Park, J. E. Parkkila, S. P. Pathak, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, L. G. Pereira, H. Pereira Da Costa, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, J. Porter, V. Pozdniakov, S. K. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, A. Rakotozafindrabe, L. Ramello, F. Rami, S. A. R. Ramirez, A. G. T. Ramos, T. A. Rancien, R. Raniwala, S. Raniwala, S. S. Räsänen, R. Rath, I. Ravasenga, K. F. Read, A. R. Redelbach, K. Redlich, A. Rehman, P. Reichelt, F. Reidt, H. A. Reme-ness, R. Renfordt, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, T. Richert, M. Richter, W. Riegler, F. Riggi, C. Ristea, M. Rodríguez Cahuantzi, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, P. S. Rokita, F. Ronchetti, A. Rosano, E. D. Rosas, A. Rossi, A. Rotondi, A. Roy, P. Roy, S. Roy, N. Rubini, O. V. Rueda, R. Rui, B. Rumyantsev, P. G. Russek, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, W. Rzesa, O. A. M. Saarimaki, R. Sadek, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, P. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, S. Sakai, S. Sambyal, V. Samsonov, D. Sarkar, N. Sarkar, P. Sarma, V. M. Sarti, M. H. P. Sas, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, J. Schukraft, Y. Schutz, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabanov, A. Shabetai, R. Shahoyan, W. Shaikh, A. Shangaraev, A. Sharma, H. Sharma, M. Sharma, N. Sharma, S. Sharma, U. Sharma, O. Sheibani, K. Shigaki, M. Shimomura, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, G. Simonetti, B. Singh, R. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, C. Soncco, J. Song, A. Songmoolnak, F. Soramel, S. Sorensen, I. Sputowska, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, M. M. Storetvedt, C. P. Stylianidis, A. A. P. Suaide, T. Sugitate, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, M. Šumbera, V. Sumberia, S. Sumowidagdo, S. Swain, A. Szabo, I. Szarka, U. Tabassam, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, M. Tarhini, M. G. Tarzila, A. Tauro, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, G. Tersimonov, S. Thakur, D. Thomas, R. Tieulent, A. Tikhonov, A. R. Timmins, M. Tkacik, A. Toia, N. Topilskaya, M. Toppi, F. Torales-Acosta, T. Tork, S. R. Torres, A. Trifiró, S. Tripathy, T. Tripathy, S. Trogolo, G. Trombetta, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, B. A. Trzeciak, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, S. Vallero, N. van der Kolk, L. V. R. van Doremalen, M. van Leeuwen, P. Vande Vyvre, D. Varga, Z. Varga, M. Varga-Kofarago, A. Vargas, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, V. Vechernin, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, D. Voscek, N. Vozniuk, J. Vrláková, B. Wagner, C. Wang, D. Wang, M. Weber, R. J. G. V. Weelden, A. Wegrzynek, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, W. E. Witt, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. K. Yadav, S. Yalcin, Y. Yamaguchi, K. Yamakawa, S. Yang, S. Yano, Z. Yin, H. Yokoyama, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Zaccolo, A. Zaman, C. Zampolli, H. J. C. Zanoli, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, S. Zhang, X. Zhang, Y. Zhang, V. Zherebchevskii, Y. Zhi, N. Zhigareva, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, A. Zichichi, G. Zinovjev, and N. Zurlo
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Heavy Ion Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The jet angularities are a class of jet substructure observables which characterize the angular and momentum distribution of particles within jets. These observables are sensitive to momentum scales ranging from perturbative hard scatterings to nonperturbative fragmentation into final-state hadrons. We report measurements of several groomed and ungroomed jet angularities in pp collisions at s $$ \sqrt{s} $$ = 5.02 TeV with the ALICE detector. Jets are reconstructed using charged particle tracks at midrapidity (|η| < 0.9). The anti-k T algorithm is used with jet resolution parameters R = 0.2 and R = 0.4 for several transverse momentum p T ch $$ {p}_{\mathrm{T}}^{\mathrm{ch}} $$ jet intervals in the 20–100 GeV/c range. Using the jet grooming algorithm Soft Drop, the sensitivity to softer, wide-angle processes, as well as the underlying event, can be reduced in a way which is well-controlled in theoretical calculations. We report the ungroomed jet angularities, λ α , and groomed jet angularities, λ α,g, to investigate the interplay between perturbative and nonperturbative effects at low jet momenta. Various angular exponent parameters α = 1, 1.5, 2, and 3 are used to systematically vary the sensitivity of the observable to collinear and soft radiation. Results are compared to analytical predictions at next-to-leading-logarithmic accuracy, which provide a generally good description of the data in the perturbative regime but exhibit discrepancies in the nonperturbative regime. Moreover, these measurements serve as a baseline for future ones in heavy-ion collisions by providing new insight into the interplay between perturbative and nonperturbative effects in the angular and momentum substructure of jets. They supply crucial guidance on the selection of jet resolution parameter, jet transverse momentum, and angular scaling variable for jet quenching studies.
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- 2022
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127. IMPACT OF CLIMATE ON VEGETATION INDICES OVER RAINFED DISTRICTS OF UTTARAKHAND, INDIA
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V. Sharma and S. K. Ghosh
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Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Applied optics. Photonics ,TA1501-1820 - Abstract
Due to a change in the landscape, the climate of Uttarakhand state is changing rapidly, impacting the weather, further affecting human beings and vegetation. Nowadays, remote sensing is a favorable tool for monitoring the vegetation condition using NDVI and EVI. Studying the relationship between vegetation and climate more extensively, it is necessary to better understand the anomaly of ecosystems with climate change. This study is carried out to evaluate the vegetation cover dynamics by establishing the association between climate parameters and vegetation indices over the rain-fed districts (Nainital, Bageshwar, Champawat, Dehradun) of Uttarakhand for the period of 20 years. In this study, Google Earth Engine (GEE) is used to extract the MODIS NDVI and EVI at 250 m spatial resolution & 16-day temporal resolution data. The climate parameters for the rain-fed district (study area) are extracted from Indian Meteorological Department (IMD) Pun website for the period from 2000 to 2020. According to the annual vegetation dynamics, the peak attained by both indices is during the monsoon season, and hence they both show identical patterns to each other. Linear Regression Analysis results show a strong impact of climate on vegetation. Both indices shows a positive correlation with climate parameters where minimum temperature and rainfall are strongly correlated with EVI. Thus, the study reveals that EVI is proven to be more appropriate indices for monitoring vegetation cover as compared to NDVI for the study area.
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- 2022
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128. Production of light (anti)nuclei in pp collisions at $$\sqrt{s} = 5.02$$ s = 5.02 TeV
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S. Acharya, D. Adamová, A. Adler, J. Adolfsson, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, Z. Akbar, A. Akindinov, M. Al-Turany, S. N. Alam, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, Y. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, G. Alocco, T. Alt, I. Altsybeev, M. N. Anaam, C. Andrei, D. Andreou, A. Andronic, V. Anguelov, F. Antinori, P. Antonioli, C. Anuj, N. Apadula, L. Aphecetche, H. Appelshäuser, S. Arcelli, R. Arnaldi, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, S. Aziz, M. D. Azmi, A. Badalà, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, D. Banerjee, Z. Banoo, R. Barbera, L. Barioglio, M. Barlou, G. G. Barnaföldi, L. S. Barnby, V. Barret, C. Bartels, K. Barth, E. Bartsch, F. Baruffaldi, N. Bastid, S. Basu, G. Batigne, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, P. Becht, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, V. Belyaev, G. Bencedi, S. Beole, A. Bercuci, Y. Berdnikov, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, I. R. Bhat, M. A. Bhat, B. Bhattacharjee, P. Bhattacharya, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, J. Biernat, A. Bilandzic, G. Biro, S. Biswas, J. T. Blair, D. Blau, M. B. Blidaru, C. Blume, G. Boca, F. Bock, A. Bogdanov, S. Boi, J. Bok, L. Boldizsár, A. Bolozdynya, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, H. Bossi, E. Botta, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, O. Bugnon, P. Buhler, Z. Buthelezi, J. B. Butt, A. Bylinkin, S. A. Bysiak, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, R. S. Camacho, P. Camerini, F. D. M. Canedo, M. Carabas, F. Carnesecchi, R. Caron, J. Castillo Castellanos, E. A. R. Casula, F. Catalano, C. Ceballos Sanchez, I. Chakaberia, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, T. G. Chavez, T. Cheng, C. Cheshkov, B. Cheynis, V. Chibante Barroso, D. D. Chinellato, S. Cho, P. Chochula, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, C. Cicalo, L. Cifarelli, F. Cindolo, M. R. Ciupek, G. Clai, J. Cleymans, F. Colamaria, J. S. Colburn, D. Colella, A. Collu, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, T. M. Cormier, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, P. Crochet, R. Cruz-Torres, E. Cuautle, P. Cui, L. Cunqueiro, A. Dainese, M. C. Danisch, A. Danu, P. Das, S. Das, S. Dash, A. De Caro, G. de Cataldo, L. De Cilladi, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, S. Deb, H. F. Degenhardt, K. R. Deja, R. Del Grande, L. Dello Stritto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, R. A. Diaz, T. Dietel, Y. Ding, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, J. Do, A. Dobrin, B. Dönigus, A. K. Dubey, A. Dubla, S. Dudi, P. Dupieux, M. Durkac, N. Dzalaiova, T. M. Eder, R. J. Ehlers, V. N. Eikeland, F. Eisenhut, D. Elia, B. Erazmus, F. Ercolessi, F. Erhardt, A. Erokhin, M. R. Ersdal, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, W. Fan, A. Fantoni, M. Fasel, P. Fecchio, A. Feliciello, G. Feofilov, A. Fernández Téllez, A. Ferrero, A. Ferretti, V. J. G. Feuillard, J. Figiel, V. Filova, D. Finogeev, F. M. Fionda, G. Fiorenza, F. Flor, A. N. Flores, S. Foertsch, S. Fokin, E. Fragiacomo, E. Frajna, A. Francisco, U. Fuchs, N. Funicello, C. Furget, A. Furs, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, A. Gal, C. D. Galvan, P. Ganoti, C. Garabatos, J. R. A. Garcia, E. Garcia-Solis, K. Garg, C. Gargiulo, A. Garibli, K. Garner, P. Gasik, E. F. Gauger, A. Gautam, M. B. Gay Ducati, M. Germain, P. Ghosh, S. K. Ghosh, M. Giacalone, P. Gianotti, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, E. Glimos, D. J. Q. Goh, V. Gonzalez, L. H. González-Trueba, S. Gorbunov, M. Gorgon, L. Görlich, S. Gotovac, V. Grabski, L. K. Graczykowski, L. Greiner, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, D. Grund, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gunji, W. Guo, A. Gupta, R. Gupta, S. P. Guzman, L. Gyulai, M. K. Habib, C. Hadjidakis, H. Hamagaki, M. Hamid, R. Hannigan, M. R. Haque, A. Harlenderova, J. W. Harris, A. Harton, J. A. Hasenbichler, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. T. Heckel, E. Hellbär, H. Helstrup, T. Herman, E. G. Hernandez, G. Herrera Corral, F. Herrmann, K. F. Hetland, H. Hillemanns, C. Hills, B. Hippolyte, B. Hofman, B. Hohlweger, J. Honermann, G. H. Hong, D. Horak, S. Hornung, A. Horzyk, R. Hosokawa, Y. Hou, P. Hristov, C. Hughes, P. Huhn, L. M. Huhta, C. V. Hulse, T. J. Humanic, H. Hushnud, L. A. Husova, A. Hutson, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, T. Isidori, M. S. Islam, M. Ivanov, V. Ivanov, V. Izucheev, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, A. Jalotra, M. A. Janik, T. Janson, M. Jercic, O. Jevons, A. A. P. Jimenez, F. Jonas, P. G. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, M. J. Kabus, J. Kaewjai, P. Kalinak, A. S. Kalteyer, A. Kalweit, V. Kaplin, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, V. Kashyap, A. Kazantsev, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, Z. Khabanova, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, J. S. Kim, M. Kim, S. Kim, T. Kim, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, A. G. Knospe, C. Kobdaj, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, S. D. Koryciak, A. Kotliarov, O. Kovalenko, V. Kovalenko, M. Kowalski, I. Králik, A. Kravčáková, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, D. M. Krupova, E. Kryshen, M. Krzewicki, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, A. Lakrathok, M. Lamanna, R. Langoy, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, T. Lazareva, R. Lea, J. Lehrbach, R. C. Lemmon, I. León Monzón, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, A. Liu, D. H. Liu, J. Liu, I. M. Lofnes, V. Loginov, C. Loizides, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, T. Mahmoud, A. Maire, M. Malaev, N. M. Malik, Q. W. Malik, S. K. Malik, L. Malinina, D. Mal’Kevich, D. Mallick, N. Mallick, G. Mandaglio, V. Manko, F. Manso, V. Manzari, Y. Mao, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, M. Marquard, N. A. Martin, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, A. Mastroserio, A. M. Mathis, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, J. E. Mdhluli, A. F. Mechler, Y. Melikyan, A. Menchaca-Rocha, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, M. A. Molander, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, E. Mudnic, D. Mühlheim, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, R. Nair, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, A. Neagu, A. Negru, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, B. S. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, T. Osako, A. Oskarsson, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, A. Palasciano, J. Pan, S. Panebianco, J. Park, J. E. Parkkila, S. P. Pathak, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, L. G. Pereira, H. Pereira Da Costa, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, J. Porter, V. Pozdniakov, S. K. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, A. Rakotozafindrabe, L. Ramello, F. Rami, S. A. R. Ramirez, A. G. T. Ramos, T. A. Rancien, R. Raniwala, S. Raniwala, S. S. Räsänen, R. Rath, I. Ravasenga, K. F. Read, A. R. Redelbach, K. Redlich, A. Rehman, P. Reichelt, F. Reidt, H. A. Reme-ness, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, T. Richert, M. Richter, W. Riegler, F. Riggi, C. Ristea, M. Rodríguez Cahuantzi, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, S. Rojas Torres, P. S. Rokita, F. Ronchetti, A. Rosano, E. D. Rosas, A. Rossi, A. Roy, P. Roy, S. Roy, N. Rubini, O. V. Rueda, D. Ruggiano, R. Rui, B. Rumyantsev, P. G. Russek, R. Russo, A. Rustamov, E. Ryabinkin, Y. Ryabov, A. Rybicki, H. Rytkonen, W. Rzesa, O. A. M. Saarimaki, R. Sadek, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, P. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, S. Sakai, M. P. Salvan, S. Sambyal, T. B. Saramela, D. Sarkar, N. Sarkar, P. Sarma, V. M. Sarti, M. H. P. Sas, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, J. Schukraft, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabanov, A. Shabetai, R. Shahoyan, W. Shaikh, A. Shangaraev, A. Sharma, H. Sharma, M. Sharma, N. Sharma, S. Sharma, U. Sharma, A. Shatat, O. Sheibani, K. Shigaki, M. Shimomura, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, G. Simonetti, B. Singh, R. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, C. Soncco, J. Song, A. Songmoolnak, F. Soramel, S. Sorensen, I. Sputowska, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, M. M. Storetvedt, P. Stratmann, S. Strazzi, C. P. Stylianidis, A. A. P. Suaide, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, V. Sumberia, S. Sumowidagdo, S. Swain, A. Szabo, I. Szarka, U. Tabassam, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, N. Tapus, M. G. Tarzila, A. Tauro, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, G. Tersimonov, S. Thakur, D. Thomas, R. Tieulent, A. Tikhonov, A. R. Timmins, M. Tkacik, A. Toia, N. Topilskaya, M. Toppi, F. Torales-Acosta, T. Tork, A. Trifiró, S. Tripathy, T. Tripathy, S. Trogolo, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, S. Vallero, L. V. R. van Doremalen, M. van Leeuwen, P. Vande Vyvre, D. Varga, Z. Varga, M. Varga-Kofarago, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, V. Vechernin, A. Velure, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, N. Vozniuk, J. Vrláková, B. Wagner, C. Wang, D. Wang, M. Weber, R. J. G. V. Weelden, A. Wegrzynek, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, W. E. Witt, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. K. Yadav, S. Yalcin, Y. Yamaguchi, K. Yamakawa, S. Yang, S. Yano, Z. Yin, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, H. J. C. Zanoli, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, S. Zhang, X. Zhang, Y. Zhang, V. Zherebchevskii, Y. Zhi, N. Zhigareva, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, G. Zinovjev, N. Zurlo, and ALICE Collaboration
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Astrophysics ,QB460-466 ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The study of the production of nuclei and antinuclei in pp collisions has proven to be a powerful tool to investigate the formation mechanism of loosely bound states in high-energy hadronic collisions. In this paper, the production of protons, deuterons and $$^{3}\mathrm {He}$$ 3 He and their charge conjugates at midrapidity is studied as a function of the charged-particle multiplicity in inelastic pp collisions at $$\sqrt{s}=5.02$$ s = 5.02 TeV using the ALICE detector. Within the uncertainties, the yields of nuclei in pp collisions at $$\sqrt{s}=5.02$$ s = 5.02 TeV are compatible with those in pp collisions at different energies and to those in p–Pb collisions when compared at similar multiplicities. The measurements are compared with the expectations of coalescence and Statistical Hadronisation Models. The results suggest a common formation mechanism behind the production of light nuclei in hadronic interactions and confirm that they do not depend on the collision energy but on the number of produced particles.
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- 2022
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129. Novel Insights into the Wattle and Daub Model of Entamoeba Cyst Wall Formation and the Importance of Actin Cytoskeleton
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Deepak Krishnan, Meenakshi Pandey, Santoshi Nayak, and Sudip K. Ghosh
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encystation ,Entamoeba invadens ,chitin synthase ,cortical actin ,cyst wall ,chitin ,Medicine - Abstract
The “Wattle and Daub” model of cyst wall formation in Entamoeba invadens has been used to explain encystment in Entamoeba histolytica, the causal agent of amoebiasis, and this process could be a potential target for new antiamoebic drugs. In this study, we studied the morphological stages of chitin wall formation in E. invadens in more detail using fluorescent chitin-binding dyes and the immunolocalization of cyst wall proteins. It was found that chitin deposition was mainly initiated on the cell surface at a specific point or at different points at the same time. The cystic wall grew outward and gradually covered the entire surface of the cyst over time, following the model of Wattle and Daub. The onset of chitin deposition was guided by the localization of chitin synthase 1 to the plasma membrane, occurring on the basis of the Jacob lectin in the cell membrane. During encystation, F-actin was reorganized into the cortical region within the early stages of encystation and remained intact until the completion of the chitin wall. The disruption of actin polymerization in the cortical region inhibited proper wall formation, producing wall-less cysts or cysts with defective chitin walls, indicating the importance of the cortical actin cytoskeleton for proper cyst wall formation.
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- 2023
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130. A Robust Linear Optimal State Feedback Controller Design for Excitation Systems of Synchronous Generators in Single Machine Power Systems with Parametric Uncertainties.
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S. K. Ghosh, Tushar Kanti Roy, M. A. H. Pramanik, and Md. Apel Mahmud
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- 2021
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131. Partial Feedback Linearizing Backstepping Excitation Controller for a Synchronous Generator in a Simple Power System to Improve the Transient Stability.
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M. A. H. Pramanik, Tushar Kanti Roy, M. S. Anower, S. K. Ghosh, and Md. Apel Mahmud
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- 2021
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132. Analyzing Impact of Climate Variability on COVID-19 Outbreak: A Semantically-enhanced Theory-guided Data-driven Approach.
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Monidipa Das and Soumya K. Ghosh 0001
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- 2021
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133. Prioritized computation offloading and resource optimization for networks with strict latency.
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Saibal K. Ghosh and Dharma P. Agrawal
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- 2021
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134. The optimization game: Mobility and Edge computing in dense networks.
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Saibal K. Ghosh and Dharma P. Agrawal
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- 2021
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135. Anti-eavesdropping Proportional Fairness Access Control for 5G Networks.
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Shankar K. Ghosh, Avirup Das, Sasthi C. Ghosh 0001, and Nabanita Das 0001
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- 2021
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136. SWill-TAC: Skill-oriented Dynamic Task Allocation with Willingness for Complex Job in Crowdsourcing.
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Riya Samanta, Soumya K. Ghosh 0001, and Sajal K. Das 0001
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- 2021
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137. An Energy Efficient Component Carrier Selection Mechanism for LTE-NR Dual Connectivity.
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Shankar K. Ghosh and Sasthi C. Ghosh 0001
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- 2021
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138. Vehicle Interdiction Strategy in Complex Road Networks - A Simulation Based Approach.
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Sukanya Samanta, Goutam Sen, and Soumya K. Ghosh 0001
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- 2021
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139. Container-based Service State Management in Cloud Computing.
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Shubha Brata Nath, Sourav Kanti Addya, Sandip Chakraborty 0001, and Soumya K. Ghosh 0001
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- 2021
140. Enhancing Education in Underserved Schools: The Internet Backpack as Cyber-physical Infrastructure.
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Lee W. McKnight, Danielle Taana Smith, Wednaud J. Ronelus, Ryan Ondocin, and Prasanta K. Ghosh
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- 2021
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141. Predictive Maintenance of Vehicle Fleets Using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets.
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Arindam Chaudhuri and Soumya K. Ghosh 0001
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- 2021
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142. A high performance hierarchical caching framework for mobile edge computing environments.
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Saibal K. Ghosh and Dharma P. Agrawal
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- 2021
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143. Prompt and non-prompt J/ψ production cross sections at midrapidity in proton-proton collisions at s $$ \sqrt{\mathrm{s}} $$ = 5.02 and 13 TeV
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The ALICE collaboration, S. Acharya, D. Adamová, A. Adler, G. Aglieri Rinella, M. Agnello, N. Agrawal, Z. Ahammed, S. Ahmad, S. U. Ahn, I. Ahuja, Z. Akbar, A. Akindinov, M. Al-Turany, S. N. Alam, D. Aleksandrov, B. Alessandro, H. M. Alfanda, R. Alfaro Molina, B. Ali, Y. Ali, A. Alici, N. Alizadehvandchali, A. Alkin, J. Alme, T. Alt, L. Altenkamper, I. Altsybeev, M. N. Anaam, C. Andrei, D. Andreou, A. Andronic, M. Angeletti, V. Anguelov, F. Antinori, P. Antonioli, C. Anuj, N. Apadula, L. Aphecetche, H. Appelshäuser, S. Arcelli, R. Arnaldi, I. C. Arsene, M. Arslandok, A. Augustinus, R. Averbeck, S. Aziz, M. D. Azmi, A. Badalà, Y. W. Baek, X. Bai, R. Bailhache, Y. Bailung, R. Bala, A. Balbino, A. Baldisseri, B. Balis, M. Ball, D. Banerjee, R. Barbera, L. Barioglio, M. Barlou, G. G. Barnaföldi, L. S. Barnby, V. Barret, C. Bartels, K. Barth, E. Bartsch, F. Baruffaldi, N. Bastid, S. Basu, G. Batigne, B. Batyunya, D. Bauri, J. L. Bazo Alba, I. G. Bearden, C. Beattie, I. Belikov, A. D. C. Bell Hechavarria, F. Bellini, R. Bellwied, S. Belokurova, V. Belyaev, G. Bencedi, S. Beole, A. Bercuci, A. Berdnikova, L. Bergmann, M. G. Besoiu, L. Betev, P. P. Bhaduri, A. Bhasin, I. R. Bhat, M. A. Bhat, B. Bhattacharjee, P. Bhattacharya, L. Bianchi, N. Bianchi, J. Bielčík, J. Bielčíková, J. Biernat, A. Bilandzic, G. Biro, S. Biswas, J. T. Blair, D. Blau, M. B. Blidaru, C. Blume, G. Boca, F. Bock, A. Bogdanov, S. Boi, J. Bok, L. Boldizsár, A. Bolozdynya, M. Bombara, P. M. Bond, G. Bonomi, H. Borel, A. Borissov, H. Bossi, E. Botta, L. Bratrud, P. Braun-Munzinger, M. Bregant, M. Broz, G. E. Bruno, M. D. Buckland, D. Budnikov, H. Buesching, S. Bufalino, O. Bugnon, P. Buhler, Z. Buthelezi, J. B. Butt, S. A. Bysiak, M. Cai, H. Caines, A. Caliva, E. Calvo Villar, J. M. M. Camacho, R. S. Camacho, P. Camerini, F. D. M. Canedo, F. Carnesecchi, R. Caron, J. Castillo Castellanos, E. A. R. Casula, F. Catalano, C. Ceballos Sanchez, P. Chakraborty, S. Chandra, S. Chapeland, M. Chartier, S. Chattopadhyay, A. Chauvin, T. G. Chavez, T. Cheng, C. Cheshkov, B. Cheynis, V. Chibante Barroso, D. D. Chinellato, S. Cho, P. Chochula, P. Christakoglou, C. H. Christensen, P. Christiansen, T. Chujo, C. Cicalo, L. Cifarelli, F. Cindolo, M. R. Ciupek, G. Clai, J. Cleymans, F. Colamaria, J. S. Colburn, D. Colella, A. Collu, M. Colocci, M. Concas, G. Conesa Balbastre, Z. Conesa del Valle, G. Contin, J. G. Contreras, M. L. Coquet, T. M. Cormier, P. Cortese, M. R. Cosentino, F. Costa, S. Costanza, P. Crochet, R. Cruz-Torres, E. Cuautle, P. Cui, L. Cunqueiro, A. Dainese, M. C. Danisch, A. Danu, I. Das, P. Das, S. Das, S. Dash, S. De, A. De Caro, G. de Cataldo, L. De Cilladi, J. de Cuveland, A. De Falco, D. De Gruttola, N. De Marco, C. De Martin, S. De Pasquale, S. Deb, H. F. Degenhardt, K. R. Deja, L. Dello Stritto, S. Delsanto, W. Deng, P. Dhankher, D. Di Bari, A. Di Mauro, R. A. Diaz, T. Dietel, Y. Ding, R. Divià, D. U. Dixit, Ø. Djuvsland, U. Dmitrieva, J. Do, A. Dobrin, B. Dönigus, O. Dordic, A. K. Dubey, A. Dubla, S. Dudi, M. Dukhishyam, P. Dupieux, N. Dzalaiova, T. M. Eder, R. J. Ehlers, V. N. Eikeland, F. Eisenhut, D. Elia, B. Erazmus, F. Ercolessi, F. Erhardt, A. Erokhin, M. R. Ersdal, B. Espagnon, G. Eulisse, D. Evans, S. Evdokimov, L. Fabbietti, M. Faggin, J. Faivre, F. Fan, A. Fantoni, M. Fasel, P. Fecchio, A. Feliciello, G. Feofilov, A. Fernández Téllez, A. Ferrero, A. Ferretti, V. J. G. Feuillard, J. Figiel, S. Filchagin, D. Finogeev, F. M. Fionda, G. Fiorenza, F. Flor, A. N. Flores, S. Foertsch, P. Foka, S. Fokin, E. Fragiacomo, E. Frajna, U. Fuchs, N. Funicello, C. Furget, A. Furs, J. J. Gaardhøje, M. Gagliardi, A. M. Gago, A. Gal, C. D. Galvan, P. Ganoti, C. Garabatos, J. R. A. Garcia, E. Garcia-Solis, K. Garg, C. Gargiulo, A. Garibli, K. Garner, P. Gasik, E. F. Gauger, A. Gautam, M. B. Gay Ducati, M. Germain, P. Ghosh, S. K. Ghosh, M. Giacalone, P. Gianotti, P. Giubellino, P. Giubilato, A. M. C. Glaenzer, P. Glässel, D. J. Q. Goh, V. Gonzalez, L. H. González-Trueba, S. Gorbunov, M. Gorgon, L. Görlich, S. Gotovac, V. Grabski, L. K. Graczykowski, L. Greiner, A. Grelli, C. Grigoras, V. Grigoriev, S. Grigoryan, O. S. Groettvik, F. Grosa, J. F. Grosse-Oetringhaus, R. Grosso, G. G. Guardiano, R. Guernane, M. Guilbaud, K. Gulbrandsen, T. Gunji, W. Guo, A. Gupta, R. Gupta, S. P. Guzman, L. Gyulai, M. K. Habib, C. Hadjidakis, G. Halimoglu, H. Hamagaki, G. Hamar, M. Hamid, R. Hannigan, M. R. Haque, A. Harlenderova, J. W. Harris, A. Harton, J. A. Hasenbichler, H. Hassan, D. Hatzifotiadou, P. Hauer, L. B. Havener, S. Hayashi, S. T. Heckel, E. Hellbär, H. Helstrup, T. Herman, E. G. Hernandez, G. Herrera Corral, F. Herrmann, K. F. Hetland, H. Hillemanns, C. Hills, B. Hippolyte, B. Hofman, B. Hohlweger, J. Honermann, G. H. Hong, D. Horak, A. Horzyk, R. Hosokawa, Y. Hou, P. Hristov, C. Hughes, P. Huhn, T. J. Humanic, H. Hushnud, L. A. Husova, A. Hutson, D. Hutter, J. P. Iddon, R. Ilkaev, H. Ilyas, M. Inaba, G. M. Innocenti, M. Ippolitov, A. Isakov, M. S. Islam, M. Ivanov, V. Ivanov, V. Izucheev, M. Jablonski, B. Jacak, N. Jacazio, P. M. Jacobs, S. Jadlovska, J. Jadlovsky, S. Jaelani, C. Jahnke, M. J. Jakubowska, A. Jalotra, M. A. Janik, T. Janson, M. Jercic, O. Jevons, A. A. P. Jimenez, F. Jonas, P. G. Jones, J. M. Jowett, J. Jung, M. Jung, A. Junique, A. Jusko, J. Kaewjai, P. Kalinak, A. Kalweit, V. Kaplin, S. Kar, A. Karasu Uysal, D. Karatovic, O. Karavichev, T. Karavicheva, P. Karczmarczyk, E. Karpechev, A. Kazantsev, U. Kebschull, R. Keidel, D. L. D. Keijdener, M. Keil, B. Ketzer, Z. Khabanova, A. M. Khan, S. Khan, A. Khanzadeev, Y. Kharlov, A. Khatun, A. Khuntia, B. Kileng, B. Kim, C. Kim, D. J. Kim, E. J. Kim, J. Kim, J. S. Kim, M. Kim, S. Kim, T. Kim, S. Kirsch, I. Kisel, S. Kiselev, A. Kisiel, J. P. Kitowski, J. L. Klay, J. Klein, S. Klein, C. Klein-Bösing, M. Kleiner, T. Klemenz, A. Kluge, A. G. Knospe, C. Kobdaj, M. K. Köhler, T. Kollegger, A. Kondratyev, N. Kondratyeva, E. Kondratyuk, J. Konig, S. A. Konigstorfer, P. J. Konopka, G. Kornakov, S. D. Koryciak, L. Koska, A. Kotliarov, O. Kovalenko, V. Kovalenko, M. Kowalski, I. Králik, A. Kravčáková, L. Kreis, M. Krivda, F. Krizek, K. Krizkova Gajdosova, M. Kroesen, M. Krüger, E. Kryshen, M. Krzewicki, V. Kučera, C. Kuhn, P. G. Kuijer, T. Kumaoka, D. Kumar, L. Kumar, N. Kumar, S. Kundu, P. Kurashvili, A. Kurepin, A. B. Kurepin, A. Kuryakin, S. Kushpil, J. Kvapil, M. J. Kweon, J. Y. Kwon, Y. Kwon, S. L. La Pointe, P. La Rocca, Y. S. Lai, A. Lakrathok, M. Lamanna, R. Langoy, K. Lapidus, P. Larionov, E. Laudi, L. Lautner, R. Lavicka, T. Lazareva, R. Lea, J. Lehrbach, R. C. Lemmon, I. León Monzón, E. D. Lesser, M. Lettrich, P. Lévai, X. Li, X. L. Li, J. Lien, R. Lietava, B. Lim, S. H. Lim, V. Lindenstruth, A. Lindner, C. Lippmann, A. Liu, D. H. Liu, J. Liu, I. M. Lofnes, V. Loginov, C. Loizides, P. Loncar, J. A. Lopez, X. Lopez, E. López Torres, J. R. Luhder, M. Lunardon, G. Luparello, Y. G. Ma, A. Maevskaya, M. Mager, T. Mahmoud, A. Maire, M. Malaev, N. M. Malik, Q. W. Malik, L. Malinina, D. Mal’Kevich, N. Mallick, P. Malzacher, G. Mandaglio, V. Manko, F. Manso, V. Manzari, Y. Mao, J. Mareš, G. V. Margagliotti, A. Margotti, A. Marín, C. Markert, M. Marquard, N. A. Martin, P. Martinengo, J. L. Martinez, M. I. Martínez, G. Martínez García, S. Masciocchi, M. Masera, A. Masoni, L. Massacrier, A. Mastroserio, A. M. Mathis, O. Matonoha, P. F. T. Matuoka, A. Matyja, C. Mayer, A. L. Mazuecos, F. Mazzaschi, M. Mazzilli, M. A. Mazzoni, J. E. Mdhluli, A. F. Mechler, F. Meddi, Y. Melikyan, A. Menchaca-Rocha, E. Meninno, A. S. Menon, M. Meres, S. Mhlanga, Y. Miake, L. Micheletti, L. C. Migliorin, D. L. Mihaylov, K. Mikhaylov, A. N. Mishra, D. Miśkowiec, A. Modak, A. P. Mohanty, B. Mohanty, M. Mohisin Khan, M. A. Molander, Z. Moravcova, C. Mordasini, D. A. Moreira De Godoy, I. Morozov, A. Morsch, T. Mrnjavac, V. Muccifora, E. Mudnic, D. Mühlheim, S. Muhuri, J. D. Mulligan, A. Mulliri, M. G. Munhoz, R. H. Munzer, H. Murakami, S. Murray, L. Musa, J. Musinsky, J. W. Myrcha, B. Naik, R. Nair, B. K. Nandi, R. Nania, E. Nappi, A. F. Nassirpour, A. Nath, C. Nattrass, A. Neagu, L. Nellen, S. V. Nesbo, G. Neskovic, D. Nesterov, B. S. Nielsen, S. Nikolaev, S. Nikulin, V. Nikulin, F. Noferini, S. Noh, P. Nomokonov, J. Norman, N. Novitzky, P. Nowakowski, A. Nyanin, J. Nystrand, M. Ogino, A. Ohlson, V. A. Okorokov, J. Oleniacz, A. C. Oliveira Da Silva, M. H. Oliver, A. Onnerstad, C. Oppedisano, A. Ortiz Velasquez, T. Osako, A. Oskarsson, J. Otwinowski, M. Oya, K. Oyama, Y. Pachmayer, S. Padhan, D. Pagano, G. Paić, A. Palasciano, J. Pan, S. Panebianco, P. Pareek, J. Park, J. E. Parkkila, S. P. Pathak, R. N. Patra, B. Paul, H. Pei, T. Peitzmann, X. Peng, L. G. Pereira, H. Pereira Da Costa, D. Peresunko, G. M. Perez, S. Perrin, Y. Pestov, V. Petráček, M. Petrovici, R. P. Pezzi, S. Piano, M. Pikna, P. Pillot, O. Pinazza, L. Pinsky, C. Pinto, S. Pisano, M. Płoskoń, M. Planinic, F. Pliquett, M. G. Poghosyan, B. Polichtchouk, S. Politano, N. Poljak, A. Pop, S. Porteboeuf-Houssais, J. Porter, V. Pozdniakov, S. K. Prasad, R. Preghenella, F. Prino, C. A. Pruneau, I. Pshenichnov, M. Puccio, S. Qiu, L. Quaglia, R. E. Quishpe, S. Ragoni, A. Rakotozafindrabe, L. Ramello, F. Rami, S. A. R. Ramirez, A. G. T. Ramos, T. A. Rancien, R. Raniwala, S. Raniwala, S. S. Räsänen, R. Rath, I. Ravasenga, K. F. Read, A. R. Redelbach, K. Redlich, A. Rehman, P. Reichelt, F. Reidt, H. A. Reme-ness, R. Renfordt, Z. Rescakova, K. Reygers, A. Riabov, V. Riabov, T. Richert, M. Richter, W. Riegler, F. Riggi, C. Ristea, M. Rodríguez Cahuantzi, K. Røed, R. Rogalev, E. Rogochaya, T. S. Rogoschinski, D. Rohr, D. Röhrich, P. F. Rojas, P. S. Rokita, F. Ronchetti, A. Rosano, E. D. Rosas, A. Rossi, A. Rotondi, A. Roy, P. Roy, S. Roy, N. Rubini, O. V. Rueda, R. Rui, B. Rumyantsev, P. G. Russek, A. Rustamov, E. Ryabinkin, Y. Ryabov, H. Rytkonen, W. Rzesa, O. A. M. Saarimaki, R. Sadek, S. Sadovsky, J. Saetre, K. Šafařík, S. K. Saha, S. Saha, B. Sahoo, P. Sahoo, R. Sahoo, S. Sahoo, D. Sahu, P. K. Sahu, J. Saini, S. Sakai, M. P. Salvan, S. Sambyal, V. Samsonov, D. Sarkar, N. Sarkar, P. Sarma, V. M. Sarti, M. H. P. Sas, J. Schambach, H. S. Scheid, C. Schiaua, R. Schicker, A. Schmah, C. Schmidt, H. R. Schmidt, M. O. Schmidt, M. Schmidt, N. V. Schmidt, A. R. Schmier, R. Schotter, J. Schukraft, Y. Schutz, K. Schwarz, K. Schweda, G. Scioli, E. Scomparin, J. E. Seger, Y. Sekiguchi, D. Sekihata, I. Selyuzhenkov, S. Senyukov, J. J. Seo, D. Serebryakov, L. Šerkšnytė, A. Sevcenco, T. J. Shaba, A. Shabanov, A. Shabetai, R. Shahoyan, W. Shaikh, A. Shangaraev, A. Sharma, H. Sharma, M. Sharma, N. Sharma, S. Sharma, U. Sharma, O. Sheibani, K. Shigaki, M. Shimomura, S. Shirinkin, Q. Shou, Y. Sibiriak, S. Siddhanta, T. Siemiarczuk, T. F. Silva, D. Silvermyr, T. Simantathammakul, G. Simonetti, B. Singh, R. Singh, V. K. Singh, V. Singhal, T. Sinha, B. Sitar, M. Sitta, T. B. Skaali, G. Skorodumovs, M. Slupecki, N. Smirnov, R. J. M. Snellings, C. Soncco, J. Song, A. Songmoolnak, F. Soramel, S. Sorensen, I. Sputowska, J. Stachel, I. Stan, P. J. Steffanic, S. F. Stiefelmaier, D. Stocco, I. Storehaug, M. M. Storetvedt, C. P. Stylianidis, A. A. P. Suaide, T. Sugitate, C. Suire, M. Sukhanov, M. Suljic, R. Sultanov, M. Šumbera, V. Sumberia, S. Sumowidagdo, S. Swain, A. Szabo, I. Szarka, U. Tabassam, S. F. Taghavi, G. Taillepied, J. Takahashi, G. J. Tambave, S. Tang, Z. Tang, J. D. Tapia Takaki, M. Tarhini, M. G. Tarzila, A. Tauro, G. Tejeda Muñoz, A. Telesca, L. Terlizzi, C. Terrevoli, G. Tersimonov, S. Thakur, D. Thomas, R. Tieulent, A. Tikhonov, A. R. Timmins, M. Tkacik, A. Toia, N. Topilskaya, M. Toppi, F. Torales-Acosta, T. Tork, S. R. Torres, A. Trifiró, S. Tripathy, T. Tripathy, S. Trogolo, G. Trombetta, V. Trubnikov, W. H. Trzaska, T. P. Trzcinski, B. A. Trzeciak, A. Tumkin, R. Turrisi, T. S. Tveter, K. Ullaland, A. Uras, M. Urioni, G. L. Usai, M. Vala, N. Valle, S. Vallero, N. van der Kolk, L. V. R. van Doremalen, M. van Leeuwen, P. Vande Vyvre, D. Varga, Z. Varga, M. Varga-Kofarago, A. Vargas, M. Vasileiou, A. Vasiliev, O. Vázquez Doce, V. Vechernin, E. Vercellin, S. Vergara Limón, L. Vermunt, R. Vértesi, M. Verweij, L. Vickovic, Z. Vilakazi, O. Villalobos Baillie, G. Vino, A. Vinogradov, T. Virgili, V. Vislavicius, A. Vodopyanov, B. Volkel, M. A. Völkl, K. Voloshin, S. A. Voloshin, G. Volpe, B. von Haller, I. Vorobyev, D. Voscek, N. Vozniuk, J. Vrláková, B. Wagner, C. Wang, D. Wang, M. Weber, R. J. G. V. Weelden, A. Wegrzynek, S. C. Wenzel, J. P. Wessels, J. Wiechula, J. Wikne, G. Wilk, J. Wilkinson, G. A. Willems, B. Windelband, M. Winn, W. E. Witt, J. R. Wright, W. Wu, Y. Wu, R. Xu, A. K. Yadav, S. Yalcin, Y. Yamaguchi, K. Yamakawa, S. Yang, S. Yano, Z. Yin, H. Yokoyama, I.-K. Yoo, J. H. Yoon, S. Yuan, A. Yuncu, V. Zaccolo, C. Zampolli, H. J. C. Zanoli, N. Zardoshti, A. Zarochentsev, P. Závada, N. Zaviyalov, M. Zhalov, B. Zhang, S. Zhang, X. Zhang, Y. Zhang, V. Zherebchevskii, Y. Zhi, N. Zhigareva, D. Zhou, Y. Zhou, J. Zhu, Y. Zhu, A. Zichichi, G. Zinovjev, and N. Zurlo
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Hadron-Hadron Scattering ,Nuclear and particle physics. Atomic energy. Radioactivity ,QC770-798 - Abstract
Abstract The production of J/ψ is measured at midrapidity (|y| < 0.9) in proton-proton collisions at s $$ \sqrt{s} $$ = 5.02 and 13 TeV, through the dielectron decay channel, using the ALICE detector at the Large Hadron Collider. The data sets used for the analyses correspond to integrated luminosities of L $$ \mathcal{L} $$ int = 19.4 ± 0.4 nb −1 and L $$ \mathcal{L} $$ int = 32.2 ± 0.5 nb −1 at s $$ \sqrt{s} $$ = 5.02 and 13 TeV, respectively. The fraction of non-prompt J/ψ mesons, i.e. those originating from the decay of beauty hadrons, is measured down to a transverse momentum p T = 2 GeV/c (1 GeV/c) at s $$ \sqrt{s} $$ = 5.02 TeV (13 TeV). The p T and rapidity (y) differential cross sections, as well as the corresponding values integrated over p T and y, are carried out separately for prompt and non-prompt J/ψ mesons. The results are compared with measurements from other experiments and theoretical calculations based on quantum chromodynamics (QCD). The shapes of the p T and y distributions of beauty quarks predicted by state-of-the-art perturbative QCD models are used to extrapolate an estimate of the b b ¯ $$ \mathrm{b}\overline{\mathrm{b}} $$ pair cross section at midrapidity and in the total phase space. The total b b ¯ $$ \mathrm{b}\overline{\mathrm{b}} $$ cross sections are found to be σ b b ¯ $$ {\sigma}_{\mathrm{b}\overline{\mathrm{b}}} $$ = 541 ± 45 (stat.) ± 69 syst . − 12 + 10 $$ {\left(\mathrm{syst}.\right)}_{-12}^{+10} $$ (extr.) μb and σ b b ¯ $$ {\sigma}_{\mathrm{b}\overline{\mathrm{b}}} $$ = 218±37 (stat.)±31 syst . − 9.1 + 8.2 $$ {\left(\mathrm{syst}.\right)}_{-9.1}^{+8.2} $$ (extr.) μb at s $$ \sqrt{s} $$ = 13 and 5.02 TeV, respectively. The value obtained from the combination of ALICE and LHCb measurements in pp collisions at s $$ \sqrt{s} $$ = 13 TeV is also provided.
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- 2022
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144. Infectious human diseases: Regions, habitats, threats, and mitigation strategies: The actors—Part I
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Pramod Khandekar and Prasanta K Ghosh
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anthropogenic factors ,dense population ,etiologic agents for infectious diseases ,healthcare infrastructure ,infectious human diseases ,vaccines ,zoonotic diseases ,Medicine - Abstract
Infectious diseases are a significant burden on the global economy and public health. The major factors attributed to the rise in infectious diseases are thought to be the unstructured rise in the human population with expanding poverty, unplanned urbanization, fast urban migration, unplanned human habitats in thickly populated urban pockets that are the residence of poor people, insufficient healthcare infrastructure, inadequate vaccination, and neglect in effectively containing the zoonotic diseases, among others. Certain global regions such as China, India, Bangladesh, Pakistan, and Indonesia among the other Asian countries, sections of South America, and vast parts of Sub-Saharan Africa harbor more infectious human diseases. To contain the infectious disease burden, the health infrastructure especially in poor countries needs to be improved. With the assistance of rich countries monetarily as well as technologically, the situation can be improved. International institutions and large philanthropic organizations are working to improve human health globally. More monetary assistance to these organizations would positively contribute to the cause and would go a long way in diffusing the infectious agents.
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- 2022
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145. Nitrogen and Sulphur co-doped Graphene: A Robust Material for Methylene Blue Removal
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Shubhra Sinha, Indrapal Karbhal, Manas Kanti Deb, Anushree Saha, Rajiv Nayan, Ramsingh Kurrey, Shamsh Pervez, Kallol K. Ghosh, Santosh Singh Thakur, Manish K. Rai, Manmohan L. Satnami, and Kamlesh Shrivas
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Graphene ,Adsorption ,Doping ,Methylene blue and removal ,Chemistry ,QD1-999 - Abstract
N, S co-doped graphene (NSG) has been synthesized by using graphene oxide, cyanamide and sodium sulphide as a source of C, N and S respectively. Due to its excellent electronic properties and stability, NSG has been used as an adsorbent for methylene blue (MB) removal from aqueous solution. Adsorption efficiencies of Graphene, N-doped graphene, S-doped graphene and NSG were compared during the study and it was found that NSG was the most efficient material for the adsorption of MB. The study was carried out in the UV-visible region by observing the changes in absorbance. NSG has excellent properties to adsorb the MB dye with a removal efficiency of 93.76±0.2%. Additionally, desorption studies were also carried out using 0.1 M cetylpyridinium chloride as cationic surfactant and the desorption% was found to be 50.28±0.1%, signifying its reusability as an adsorbent. This indicates that NSG opens a new window for the design of heteroatom-doped carbon material as well as its application in the adsorption studies. Accordingly, the synthesized material will be employed for wastewater treatment as a reusable adsorbent of MB in the near future with high efficiency and appreciable stability. In addition, the material has several other future applications such as electrode material for supercapacitor battery, sensor, adsorbent for metal ions and biomolecules, etc.
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- 2023
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146. eDWaaS: A Scalable Educational Data Warehouse as a Service.
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Anupam Khan, Sourav K. Ghosh, and Soumya K. Ghosh 0001
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- 2022
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147. Comment-Mine - A Semantic Search Approach to Program Comprehension from Code Comments.
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Srijoni Majumdar, Shakti Papdeja, Partha Pratim Das, and Soumya K. Ghosh 0001
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- 2020
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148. Creating a more efficient Internet of Things through predictive analysis of resources.
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Saibal K. Ghosh and Dharma P. Agrawal
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- 2020
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149. A decision support framework to enhance user experiences in resource constrained devices.
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Saibal K. Ghosh and Dharma P. Agrawal
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- 2020
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150. Exploring Mobility Behaviours of Moving Agents from Trajectory traces in Cloud-Fog-Edge Collaborative Framework.
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Shreya Ghosh 0002 and Soumya K. Ghosh 0001
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- 2020
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