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3. Structural and Magnetic properties of Ge0.5Mn0.5Co2O4 using neutron diffraction

Author

Jain, Pooja, Schundelmier, Benny, Wang, Chin-Wei, Yadav, Poonam, Wei, Kaya, Lalla, N. P., and Sharma, Shivani

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

The structural and magnetic properties of Ge0.5Mn0.5Co2O4 (GMCO) have been investigated in detail utilizing neutron powder diffraction (NPD), x-ray diffraction (XRD), DC magnetometry, and heat capacity analysis and compared with GeCo2O4. Despite both compounds exhibiting a cubic structure at room temperature, a substantial difference on low temperature structural properties have been observed for GMCO, indicating the effect of Mn substitution on crystal structure. The magnetic and heat capacity data reveal a ferrimagnetic ordering around 108 K in GMCO. A minor secondary phase is confirmed which undergoes long range AFM ordering at further lower temperatures. This secondary phase remains undetected in XRD due to identical lattice parameters. Furthermore, the analysis of heat capacity data indicates a broadening of the high-temperature transition, attributing to the short-range correlation persisting up to higher temperatures. The estimated magnetic entropy amounts is 63% of the value expected for GMCO. The missing entropy is likely linked with the short-range magnetic correlations persisting well above the transition temperature. Cation distribution at the A and B sites has been estimated in GMCO using NPD. Magnetic structures are also confirmed in the main phase as well as in the secondary phase using NPD analysis. The high-temperature transition corresponds to the ferrimagnetic ordering of A and B site cations in the main phase. A collinear ferrimagnetic arrangement of A and B site spins aligned parallel to c axis is observed. The average values of A and B site moments in the ferrimagnetic phase at 5 K are 2.31(3) and 1.82(3)mB, respectively, with the temperature dependence of moments following the expected power law behavior. The low-temperature ordering is attributed to the antiferromagnetic ordering of B site ions associated with the secondary phase, something similar to GeCo2O4., Comment: 16 pages, 9 figures

Published
2024

20. Framework for Detecting Toxic Speech Using BERT and Deep Learning

Author

Barai, Ankit, Jain, Pooja, Kumar, Tapan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Hirose, Keikichi, editor, Joshi, Deepak, editor, and Sanyal, Shankha, editor

Published
2024
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21. ML-Based Application for Enhanced Communication with Specially Abled Children

Author

Wairagade, Eeshan, Mishra, Dhananjay, Chauhan, Anushka, Jain, Pooja, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Hirose, Keikichi, editor, Joshi, Deepak, editor, and Sanyal, Shankha, editor

Published
2024
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22. Advertisement Image Classification Using Deep Learning with BERT: A Novel Approach Exploiting Textual Features

Author

Jain, Pooja, Taneja, Kavita, Taneja, Harmunish, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Polkowski, Zdzislaw, editor, Correia, Sérgio Duarte, editor, and Virdee, Bal, editor

Published
2024
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23. Deep Learning for IoT

Author

Diwan, Tausif, Tembhurne, Jitendra V., Jain, Tapan Kumar, Jain, Pooja, Fortino, Giancarlo, Series Editor, Liotta, Antonio, Series Editor, Gunjan, Vinit Kumar, editor, Ansari, Mohd Dilshad, editor, Usman, Mohammed, editor, and Nguyen, ThiDieuLinh, editor

Published
2024
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24. Digital Twin: Where do humans fit in?

Author

Agrawal, Ashwin, Thiel, Robert, Jain, Pooja, Singh, Vishal, and Fischer, Martin

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
Abstract

Digital Twin (DT) technology is far from being comprehensive and mature, resulting in their piecemeal implementation in practice where some functions are automated by DTs, and others are still performed by humans. This piecemeal implementation of DTs often leaves practitioners wondering what roles (or functions) to allocate to DTs in a work system, and how might it impact humans. A lack of knowledge about the roles that humans and DTs play in a work system can result in significant costs, misallocation of resources, unrealistic expectations from DTs, and strategic misalignments. To alleviate this challenge, this paper answers the research question: When humans work with DTs, what types of roles can a DT play, and to what extent can those roles be automated? Specifically, we propose a two-dimensional conceptual framework, Levels of Digital Twin (LoDT). The framework is an integration of the types of roles a DT can play, broadly categorized under (1) Observer, (2) Analyst, (3) Decision Maker, and (4) Action Executor, and the extent of automation for each of these roles, divided into five different levels ranging from completely manual to fully automated. A particular DT can play any number of roles at varying levels. The framework can help practitioners systematically plan DT deployments, clearly communicate goals and deliverables, and lay out a strategic vision. A case study illustrates the usefulness of the framework., Comment: Accepted for publication in Automation in Construction

Published
2023

27. Contributors

Author

Beaucamp, Anne, primary, Ben-Nissan, Besim, additional, Caballero, David, additional, Carvalho, Pedro P., additional, Cerqueira, Rui, additional, Chen, Jia-Reng, additional, Choe, Seung Ho, additional, Choi, Andy H., additional, Choi, Gina, additional, Choi, Joo Hee, additional, Collins, Maurice N., additional, Costa, João, additional, Costa, Joana, additional, Cuadrado, Alberto, additional, Cunha, Patrícia, additional, Dias, Inês E., additional, Dias, Isabel R., additional, Donate, Ricardo, additional, Dubey, Nileshkumar, additional, Fernández-Costa, Juan M., additional, Fernández-Garibay, Xiomara, additional, Ghorbani, Farnaz, additional, Goetz-Neunhoeffer, Friedlinde, additional, Gulicli, Baris, additional, Hurle, Katrin, additional, Jain, Pooja, additional, Kang, Tae Woong, additional, Kathuria, Himanshu, additional, Khang, Gilson, additional, Kim, Seung Jae, additional, Kumarasamy, Murali, additional, Kundu, Subhas C., additional, Liu, Chaozong, additional, Lucas, João, additional, Macedo, Fernando, additional, Marquet, Iñigo, additional, Martins, Ângela, additional, McEvoy, E., additional, McNamara, L.M., additional, Mishra, Sushmita, additional, Monzón, Mario D., additional, Morcimen, Zehra Gul, additional, Motta, Antonella, additional, Oliveira, J. Miguel, additional, Park, Sunjae, additional, Paz, Rubén, additional, Perin, Francesca, additional, Ramón-Azcón, Javier, additional, Reis, Rui L., additional, Ribeiro, Viviana P., additional, Rocha, Miguel, additional, Rossoni, Andrea, additional, Sahranavard, Melika, additional, Sakthiabirami, Kumaresan, additional, Sendemir, Aylin, additional, Serafin, Aleksandra, additional, Song, Jeong Eun, additional, Spessot, Eugenia, additional, Sriram, Gopu, additional, Tejedera-Villafranca, Ainoa, additional, Uzer-Yilmaz, Benay, additional, Viegas, Carlos A., additional, Vilela, Carlos, additional, Yan, Le-Ping, additional, Yánez, Alejandro, additional, Yang, Mo, additional, Zamboni, Fernanda, additional, Zeugolis, Dimitrios I., additional, and Zhang, Chao, additional

Published
2024
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28. Closer to nature

Author

Jain, Pooja, primary, Sakthiabirami, Kumaresan, additional, Kathuria, Himanshu, additional, Sriram, Gopu, additional, and Dubey, Nileshkumar, additional

Published
2024
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29. Deep Learning for IoT

Author

Diwan, Tausif, primary, Tembhurne, Jitendra V., additional, Jain, Tapan Kumar, additional, and Jain, Pooja, additional

Published
2023
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34. Role of Natural Language Processing for Text Mining of Education Policy in Rajasthan

Author

Jain, Pooja, Lal, Shobha, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mishra, Anurag, editor, Gupta, Deepak, editor, and Chetty, Girija, editor

Published
2023
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35. Robust Pipeline for Detection of Adversarial Images

Author

Vohra, Ankit, Reddy, Natesh, Dhawale, Kritika, Jain, Pooja, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Sisodia, Dilip Singh, editor, Garg, Lalit, editor, Pachori, Ram Bilas, editor, and Tanveer, M., editor

Published
2023
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40. Phenotypic and Functional Analyses Guiding Combination Immune Checkpoint Immunotherapeutic Strategies in HTLV-1 Infection

Author

Clements, Danielle M, Crumley, Brenndan, Chew, Glen M, Davis, Elijah, Bruhn, Roberta, Murphy, Edward L, Ndhlovu, Lishomwa C, and Jain, Pooja

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Immunology, Neurosciences, Rare Diseases, Clinical Research, Infectious Diseases, 2.1 Biological and endogenous factors, Aetiology, Infection, Good Health and Well Being, Adult, Anti-Retroviral Agents, Biomarkers, Clinical Decision-Making, Cytokines, Disease Management, Drug Therapy, Combination, Female, Gene Expression Regulation, HTLV-I Infections, Host-Pathogen Interactions, Human T-lymphotropic virus 1, Humans, Immune Checkpoint Inhibitors, Immune Checkpoint Proteins, Immunologic Memory, Immunophenotyping, Leukocytes, Mononuclear, Lymphocyte Count, Male, Middle Aged, T-Lymphocyte Subsets, Treatment Outcome, Viral Load, HTLV-1, HAM, TSP, PD-1, TIGIT, TIM-3, LAG-3, immune checkpoints, immunotherapy, HAM/TSP, Biochemistry and cell biology, Genetics
Abstract

Human T-cell lymphotropic virus type 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis (HAM/TSP) develops in 1-5% of HTLV-1-infected individuals. Previous studies by us and others have shown that the expression of negative immune checkpoint receptors (NCRs) is significantly increased on CD8 T cells in various chronic viral infections and are associated with poor anti-viral immunity. We have previously identified the differential expression of NCRs on CD8 T cells in blood from patients with HAM/TSP and in central nervous system (CNS) tissues of HTLV-1 infected humanized mice and defined the association with neurological complications. In this study, we determined the co-expression patterns of several key NCRs (PD-1, TIGIT, TIM-3, and LAG-3) and their cognate ligands in HTLV-1 infection and assessed how combination strategies targeting these pathways would impact HTLV-1-specific CD8 T-cell effector functions as an approach to reduce CNS disease outcomes. We found that global CD8 T cells from HAM/TSP patients co-express multiple NCRs at significantly higher frequencies than asymptomatic carriers (AC). Moreover, NCR ligands (PVR and PD-LI) on both plasmacytoid and myeloid dendritic cells were also expressed at higher frequencies in HAM/TSP compared to AC. In both AC and HAM/TSP subjects, combination dual PD-L1/TIGIT or triple PD-L1/TIGIT/TIM-3 blockade with monoclonal antibodies resulted in increases in intracellular cytokine expression in CD8 T cells after virus stimulation, particularly CD107a, a marker of degranulation, and TNF-α, a key cytokine that can directly inhibit viral replication. Interestingly, almost all blockade combinations resulted in reduced IL-2+ HTLV-1-specific CD8 T cell frequencies in HAM/TSP subjects, but not in AC. These results define a novel combinatorial NCR immunotherapeutic blockade strategy to reduce HAM/TSP disease burden.

Published
2021

42. Epigenome-wide meta-analysis of blood DNA methylation in newborns and children identifies numerous loci related to gestational age.

Author

Merid, Simon Kebede, Novoloaca, Alexei, Sharp, Gemma C, Küpers, Leanne K, Kho, Alvin T, Roy, Ritu, Gao, Lu, Annesi-Maesano, Isabella, Jain, Pooja, Plusquin, Michelle, Kogevinas, Manolis, Allard, Catherine, Vehmeijer, Florianne O, Kazmi, Nabila, Salas, Lucas A, Rezwan, Faisal I, Zhang, Hongmei, Sebert, Sylvain, Czamara, Darina, Rifas-Shiman, Sheryl L, Melton, Phillip E, Lawlor, Debbie A, Pershagen, Göran, Breton, Carrie V, Huen, Karen, Baiz, Nour, Gagliardi, Luigi, Nawrot, Tim S, Corpeleijn, Eva, Perron, Patrice, Duijts, Liesbeth, Nohr, Ellen Aagaard, Bustamante, Mariona, Ewart, Susan L, Karmaus, Wilfried, Zhao, Shanshan, Page, Christian M, Herceg, Zdenko, Jarvelin, Marjo-Riitta, Lahti, Jari, Baccarelli, Andrea A, Anderson, Denise, Kachroo, Priyadarshini, Relton, Caroline L, Bergström, Anna, Eskenazi, Brenda, Soomro, Munawar Hussain, Vineis, Paolo, Snieder, Harold, Bouchard, Luigi, Jaddoe, Vincent W, Sørensen, Thorkild IA, Vrijheid, Martine, Arshad, S Hasan, Holloway, John W, Håberg, Siri E, Magnus, Per, Dwyer, Terence, Binder, Elisabeth B, DeMeo, Dawn L, Vonk, Judith M, Newnham, John, Tantisira, Kelan G, Kull, Inger, Wiemels, Joseph L, Heude, Barbara, Sunyer, Jordi, Nystad, Wenche, Munthe-Kaas, Monica C, Räikkönen, Katri, Oken, Emily, Huang, Rae-Chi, Weiss, Scott T, Antó, Josep Maria, Bousquet, Jean, Kumar, Ashish, Söderhäll, Cilla, Almqvist, Catarina, Cardenas, Andres, Gruzieva, Olena, Xu, Cheng-Jian, Reese, Sarah E, Kere, Juha, Brodin, Petter, Solomon, Olivia, Wielscher, Matthias, Holland, Nina, Ghantous, Akram, Hivert, Marie-France, Felix, Janine F, Koppelman, Gerard H, London, Stephanie J, and Melén, Erik

Subjects
Humans, Premature Birth, DNA, DNA Methylation, Fetal Development, Adolescent, Child, Child, Preschool, Infant, Newborn, Infant, Premature, Female, Male, Genetic Loci, Epigenome, Development, Epigenetics, Gestational age, Preterm birth, Transcriptomics, Preschool, Infant, Newborn, Premature, Genetics, Clinical Sciences
Abstract

BackgroundPreterm birth and shorter duration of pregnancy are associated with increased morbidity in neonatal and later life. As the epigenome is known to have an important role during fetal development, we investigated associations between gestational age and blood DNA methylation in children.MethodsWe performed meta-analysis of Illumina's HumanMethylation450-array associations between gestational age and cord blood DNA methylation in 3648 newborns from 17 cohorts without common pregnancy complications, induced delivery or caesarean section. We also explored associations of gestational age with DNA methylation measured at 4-18 years in additional pediatric cohorts. Follow-up analyses of DNA methylation and gene expression correlations were performed in cord blood. DNA methylation profiles were also explored in tissues relevant for gestational age health effects: fetal brain and lung.ResultsWe identified 8899 CpGs in cord blood that were associated with gestational age (range 27-42 weeks), at Bonferroni significance, P

Published
2020

43. Nanomedicine-Based Combinational Therapy for Breast Cancer

Author

Jain, Pooja, Hassan, Nazia, Farooq, Uzma, Mohapatra, Sradhanjali, Alex, Thomson Santosh, Fatima, Mahak, Mirza, Mohd Aamir, Iqbal, Zeenat, Rahman, Mahfoozur, editor, H Almalki, Waleed, editor, Alrobaian, Majed, editor, Beg, Sarwar, editor, and Alharbi, Khalid S, editor

Published
2022
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47. Nanotechnology interventions as a putative tool for the treatment of dental afflictions

Author

Jain Pooja, Farooq Uzma, Hassan Nazia, Albratty Mohammed, Alam Md. Shamsher, Makeen Hafiz A., Mirza Mohd. Aamir, and Iqbal Zeenat

Subjects
nanotechnology, nanotherapeutics, restorative dentistry, preventive dentistry, operative dentistry, periodontal therapy, Technology, Chemical technology, TP1-1185, Physical and theoretical chemistry, QD450-801
Abstract

Advancement in nanotechnology and its intervention into the medical field has led to significant development in the field of oral health. Also, the combination of nanomaterial science and biotechnology in dental nanorobotics has enthralled us by adding momentum to contemporary dental practices. The progressive nature of dental afflictions often requires an umbrella approach for their prevention, diagnosis, and complete treatment. Furthermore, the complex nature of dental diseases entails customized treatment modalities, which provides the development of various nanotechnology armamentariums. Furthermore, with the objective of controlled drug delivery, researchers have done a plethora of work to apply nanomaterials such as nanospheres, nanotubes, and nanocomposites for dental infections. However, the fundamental concern with nanotechnology is cost involvement and scaleup hurdles which limits its commercialization. Nevertheless, we hope that optimal utilization of the available nanotechnological interventions for modern dental practice will shortly improve oral health. Hence, this review primarily focuses on the types of nanotechnological interventions explored for various dental afflictions. Also, the authors have attempted to enlighten the readers about the practical aspects of nanotherapeutics for dental disease, that is, a journey from laboratory to product commercialization.

Published
2022
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