Food Additives and Evolved Methods of Detection: A Review
subject: Analysis of food additives; colorants; detection; food additives; food preservation
description: Food additives are essential constituents of food products in the modern world. The necessity of food processing went up rapidly as to meet requirements including, imparting desirable properties like preservation, enhancement and regulation of color and taste. The methods of identification and analysis of such substances are crucial. With the advancement of technology, a variety of techniques are emerging for this purpose which have many advantages over the existing conventional ways. This review is on different kinds of additives used in the food industry and few prominent methods for their determination ranging from conventional chromatographic techniques to the recently evolved nano-sensor techniques. 2024 Taylor & Francis Group, LLC.
creator: Aiswarya P.S.; Thadathil D.A.; George L.; Varghese A.
source: Critical Reviews in Analytical Chemistry
publisher: Taylor and Francis Ltd.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10408347; CODEN: CCACB
format: Online
language: English
type: Review
coverage: Aiswarya P.S., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Thadathil D.A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; George L., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Varghese A., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India

A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis
subject: ABIDE dataset; ASGCN (adaptive spatiotemporal; atlases; autism spectrum disorder (ASD); comprehensive review; Deep learning; electroencephalography (EEG); graph convolution network); LeNet; neuroimaging modalities; preprocessing tools; resting-state functional magnetic resonance imaging (rsfMRI); structural MRI (sMRI); task-based fMRI (tfMRI)
description: Background: Autism Spectrum Disorder (ASD) is a multifaceted neurodevelop-mental condition with significant heterogeneity in its clinical presentation. Timely and precise identification of ASD is crucial for effective intervention and assistance. Recent advances in deep learning techniques have shown promise in enhancing the accuracy of ASD detection. Objective: This comprehensive review aims to provide an overview of various deep learning methods employed in detecting ASD, utilizing diverse neuroimaging modalities. We analyze a range of studies that use resting-state functional Magnetic Resonance Imaging (rsfMRI), structural MRI (sMRI), task-based fMRI (tfMRI), and electroencephalography (EEG). This paper aims to assess the effectiveness of these techniques based on criteria such as accuracy, sensitiv-ity, specificity, and computational efficiency. Methods: We systematically review studies investigating ASD detection using deep learning across different neuroimaging modalities. These studies utilize various preprocessing tools, at-lases, feature extraction techniques, and classification algorithms. The performance metrics of interest include accuracy, sensitivity, specificity, precision, F1-score, recall, and area under the curve (AUC). Results: The review covers a wide range of studies, each with its own dataset and methodolo-gy. Notable findings include a study employing rsfMRI data from ABIDE that achieved an accuracy of 80% using LeNet. Another study using rsfMRI data from ABIDE-II achieved an im-pressive accuracy of 95.4% with the ASGCN deep learning model. Studies utilizing different modalities, such as EEG and sMRI, also reported high accuracies ranging from 74% to 95%. Conclusion: Deep learning-based approaches for ASD detection have demonstrated significant potential across multiple neuroimaging modalities. These methods offer a more objective and data-driven approach to diagnosis, potentially reducing the subjectivity associated with clinical evaluations.…
creator: Lamani M.R.; Pernabas J.B.
source: Recent Advances in Computer Science and Communications, Vol-17, No. 8, pp. 73-91.
publisher: Bentham Science Publishers
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 26662558
format: Online
language: English
type: Review
coverage: Lamani M.R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Pernabas J.B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India

Can financial markets help attain carbon goals? Evidence from systematic literature review, bibliometric analysis and topic modelling
subject: Bibliometric analysis; Carbon emission; Carbon performance; Finance; Financial market; PRISMA; Systematic literature review; Topic modelling
description: Purpose: This paper presents a conceptual framework based on an extensive literature review. The aim of this study is to deepen understanding of the relationship between carbon performance and the financial market by applying qualitative research approaches. Design/methodology/approach: The investigation has identified 372 articles sourced from Scopus databases, subjecting the bibliographic data to a comprehensive qualitativequantitative analysis. The research uses established protocols for a structured literature review, adhering to PRISMA guidelines, machine learning-based structural topic modelling using Python and bibliometric citation analysis. Findings: The results identified the leading academic authors, institutions and countries concerning carbon performance and financial markets literature. Quantitative studies dominate this research theme. The study has identified six knowledge clusters using topic modelling related to environmental reporting; price drivers of carbon markets; environmental policy and capital markets; financial development and carbon emissions; carbon risk and financial markets; and environmental performance and firm value. The results of the study also present the opportunities associated with carbon performance and the financial market and propose future research agendas on research through theory, characteristics, context and methodology. Practical implications: The results of the study offer insights to practitioners, researchers and academicians regarding scientific development, intricate relationships and the complexities involved in the intersection of carbon performance and financial markets. For policymakers, a better understanding of carbon performance and financial markets will contribute to designing policies to set up priorities for countering carbon emissions. Social implications: The study highlights the critical areas that require attention to limit greenhouse gas emissions and promote decarbonisation effectively. Policymak…
creator: Dawar G.; Nagariya R.; Bhatia S.; Dhingra D.; Agrawal M.; Dhaundiyal P.
source: Sustainability Accounting, Management and Policy Journal
publisher: Emerald Publishing
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 20408021
format: Online
language: English
type: Review
coverage: Dawar G., School of Business and Management, Christ University, Bengaluru, India, Apeejay School of Management, Delhi, India; Nagariya R., School of Business and Management, Christ University, Bengaluru, India; Bhatia S., Department of Humanities, Delhi Technological University, Delhi, India; Dhingra D., Department of Management, Bennett University, Greater Noida, India, School of Management, BML Munjal University, Gurugram, India; Agrawal M., Jaipuria Institute of Management, Indore Campus, Indore, India; Dhaundiyal P., School of Business and Management, Christ University, Bengaluru, India

Parental Perspectives on Stress and Challenges in Raising Autistic Children: A Meta-Synthesis
subject: Autism; Caregiver; Meta-synthesis; Parental perspectives; Parental stress
description: Raising autistic children can be challenging, and the current meta-synthesis explores the stress and challenges the parents encounter across life domains. Database searches (JSTOR, ProQuest, EBSCO, PsycINFO, and Google Scholar) were done using the SPIDER method, and 463 articles published between 2011 and 2021 were reviewed. The meta-synthesis adhered to the PRISMA guidelines and included 28 eligible studies centered on stress in parents of children up to the age of 12 years diagnosed with autism. This comprehensive analysis encompassed a collective participant pool of n-505 individuals. Eight stressors were derived using the line of argument synthesis method, which include parental stress due to emotional impact, diagnosis process, social stigma, financial aspects, work-life balance, lack of resources and social support, marital life, and academic setting. Multiple stressors exert a combined effect of individual and systemic factors across domains of life, leading to parental stress. Interventions must be designed considering the complex nature of the parental stress and its interaction with the environment. Psycho-education for awareness and empowerment contribute to parental well-being. The Author(s), under exclusive licence to Springer Nature India Private Limited 2024.
creator: Dharanidharan D.; Kuruveettissery S.
source: Journal of Psychosocial Rehabilitation and Mental Health
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 21989834
format: Online
language: English
type: Review
coverage: Dharanidharan D., Department of Psychology, Christ University, Bangalore, 560029, India; Kuruveettissery S., Department of Psychology, Christ University, Bangalore, 560029, India

Advancements in Sustainable Techniques for Dried Meat Production: an Updated Review
subject: Antimicrobial; Dry meat; Health hazard; Non-thermal; Texture; Thermal
description: Dried meat is one of the ethnic and aesthetic food products popular among global civilizations and communities. The background of the production is associated with several methods practiced conventionally in the olden days. This review focused on investigating the advantages, challenges, research gaps, and technological intervention in dried meat production in the modern era. Moreover, it presented a gestalt of cutting-edge thermal and non-thermal food processing technologies and their effectiveness in extending shelf life. It delved into the specific characteristics of dried meat, including biochemical, sensory, and microbiological properties and processing techniques, and addressed the contamination sources. The pros and cons of various drying methods like hot-air drying, vacuum pulsed electric field, microwave-assisted techniques, and non-thermal drying processes are comprehended. The impact on meat's structural properties, nutritional value, shelf-life, quality control, and food safety are thoroughly presented. Moreover, the review explored the biochemical dynamics of the drying process and underscored the health risks associated with mycotoxin contamination in dried meat products. Furthermore, the study also presented the avenues of AI-based platforms and non-destructive technology for validating the quality of dried meat products. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
creator: Pushparaj K.; Balasubramanian B.; Meyyazhagan A.; Park S.; Arumugam V.A.; Pappuswamy M.; Bhotla H.K.; Liu W.-C.; Mousavi Khaneghah A.
source: Food and Bioprocess Technology
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 19355130
format: Online
language: English
type: Review
coverage: Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, 641 043, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Meyyazhagan A., Department of Life Science, CHRIST University, Karnataka, Bengaluru, 560076, India; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, 05006, South Korea; Arumugam V.A., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, 641 046, India; Pappuswamy M., Department of Life Science, CHRIST University, Karnataka, Bengaluru, 560076, India; Bhotla H.K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, 641 043, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Mousavi Khaneghah A., Faculty of Biotechnologies (BioTech), ITMO University, 191002, 9 Lomonosova Street, Saint Petersburg, Russian Federation, Halal Research Center of IRI, Iran Food and Drug Administration, Ministry of Health and Medical Education, Tehran, Iran

Deciphering the global research trends and significance of moral intelligence via bibliometric analysis
subject: bibliometric and network analysis; biblioshiny analysis; moral injuries; moral intelligence; moral measurement; moral psychology; VOS view analysis
description: Introduction: Moral Intelligence (MI) as a concept has gained importance in recent years due to its wide applicability in individual, organizational, and clinical settings or even policy making. The present study employed Bibliometric analysis to understand the emerging topics associated with MI and its global research trend. This papers primary aim was (i) to explore the temporal and geographic growth trends of the research publication on MI. (ii) to identify the most prolific countries, institutions, and authors, working on MI, (iii) to identify the most frequent terminologies, (iv) to explore research topics and to provide insight into potential collaborations and future directions, and (v) to explore the significance of the concept of moral intelligence. Method: Bibliometric analysis was used to understand the emerging topics associated with MI and its global research trend using the SCOPUS database. VOS viewer and R were employed to analyze the result. Through the analysis conducted, the development of the construct over time was analyzed. Results: Results have shown that Iran and the United States and these two combined account for 53.16% of the total country-wise publications. Switzerland has the highest number of Multi-county publications. Authors from Iran and Switzerland have the most number of publications. Emerging topics like decision-making, machine ethics, moral agents, artificial ethics, co-evolution of human and artificial moral agents, green purchase intention etc were identified. Discussion: The application of MI in organisational decision-making, education policy, artificial intelligence and measurement of moral intelligence are important areas of application as per the results. Research interest in MI is projected to increase according to the results delineated in this article. Copyright 2024 Bagchi, Srivastava and Tushir.
creator: Bagchi D.; Srivastava A.; Tushir B.
source: Frontiers in Psychology, Vol-15
publisher: Frontiers Media SA
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 16641078
format: Online
language: English
type: Review
coverage: Bagchi D., Department of Psychology, CHRIST (Deemed to be University) Delhi NCR, Delhi, India; Srivastava A., Jindal School of Psychology and Counselling, O.P. Jindal Global University, Haryana, Sonipat, India; Tushir B., Department of Psychology, CHRIST (Deemed to be University) Delhi NCR, Delhi, India

Women and Fairness: Navigating an Unfair World
description: [No abstract available]
creator: Haque M.Z.; Taslim F.
source: Women's Studies
publisher: Routledge
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 497878
format: Online
language: English
type: Review
coverage: Haque M.Z., Christ University, Bangalore, India; Taslim F., University of Dhaka, Dhaka, Bangladesh

A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms
description: Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks and strokes accounting for over 80% of these deaths. Key risk factors, including hypertension, hyperglycemia, dyslipidemia, and obesity, are identifiable, offering opportunities for timely intervention and reduced mortality. Early detection of heart disease enables individuals to adopt lifestyle changes or seek medical treatment. However, conventional diagnostic methods, such as electrocardiogramscommonly used in clinics and hospitals to detect abnormal heart rhythmsare not effective in identifying actual heart attacks. Additionally, angiography, while more precise, is an invasive method, financial strain on patients, and high chances of incorrect diagnosis, highlighting the need for alternative approaches. The main goal of this study was to assess the accuracy of machine learning techniques, including both individual and combined classifiers, in early detection of heart diseases. Furthermore, the study aims to highlight areas where additional research is necessary. Our investigation covers a decade period from 2014 to 2024, including a thorough review of pertinent literature from international conferences and top journals from the databases like Springer, ScienceDirect, IEEEXplore, Web of Science, PubMed, MDPI, Hindawi and so on. The following keywords were used to search the articles: heart disease risk, heart disease prediction, data mining, data preprocessing, machine learning algorithms, ensemble classifiers, deep learning algorithms, feature selection, hyperparameter optimization techniques. We examine the methodologies used and evaluate their effectiveness in predicting cardiovascular conditions. Our findings reveal notable progress in applying machine learning and deep learning in cardiology. The study concludes by proposing a framework that incorporates current machine learning techniques to enhance heart disease prediction. The Author(s) under exclusive licence to I…
creator: Karna V.V.R.; Karna V.R.; Janamala V.; Devana V.N.K.R.; Ch V.R.S.; Tummala A.B.
source: Archives of Computational Methods in Engineering
publisher: Springer Science and Business Media B.V.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 11343060
format: Online
language: English
type: Review
coverage: Karna V.V.R., Department of Electronics and Communication Engineering, Aditya University, Surampalem, 533437, India; Karna V.R., Department of Artificial Intelligence and Machine Learning, R V College of Engineering, Bengaluru, 560059, India; Janamala V., Department of Electrical and Electronics Engineering, Christ University, Karnataka, Bengaluru, 560074, India; Devana V.N.K.R., Department of Electronics and Communication Engineering, Aditya University, Surampalem, 533437, India; Ch V.R.S., Department of Electronics and Communication Engineering, Aditya University, Surampalem, 533437, India; Tummala A.B., Department of Electronics and Communication Engineering, Chaitanya Bharati Institute of Technology, Hyderabad, 500075, India

A review on the efficacy of artificial intelligence for managing anxiety disorders
subject: anxiety; artificial intelligence; GAD therapy; mental health disorder; natural language proceeding (NLP)
description: Anxiety disorders are psychiatric conditions characterized by prolonged and generalized anxiety experienced by individuals in response to various events or situations. At present, anxiety disorders are regarded as the most widespread psychiatric disorders globally. Medication and different types of psychotherapies are employed as the primary therapeutic modalities in clinical practice for the treatment of anxiety disorders. However, combining these two approaches is known to yield more significant benefits than medication alone. Nevertheless, there is a lack of resources and a limited availability of psychotherapy options in underdeveloped areas. Psychotherapy methods encompass relaxation techniques, controlled breathing exercises, visualization exercises, controlled exposure exercises, and cognitive interventions such as challenging negative thoughts. These methods are vital in the treatment of anxiety disorders, but executing them proficiently can be demanding. Moreover, individuals with distinct anxiety disorders are prescribed medications that may cause withdrawal symptoms in some instances. Additionally, there is inadequate availability of face-to-face psychotherapy and a restricted capacity to predict and monitor the health, behavioral, and environmental aspects of individuals with anxiety disorders during the initial phases. In recent years, there has been notable progress in developing and utilizing artificial intelligence (AI) based applications and environments to improve the precision and sensitivity of diagnosing and treating various categories of anxiety disorders. As a result, this study aims to establish the efficacy of AI-enabled environments in addressing the existing challenges in managing anxiety disorders, reducing reliance on medication, and investigating the potential advantages, issues, and opportunities of integrating AI-assisted healthcare for anxiety disorders and enabling personalized therapy. Copyright 2024 Das and Gavade.
creator: Das K.P.; Gavade P.
source: Frontiers in Artificial Intelligence, Vol-7
publisher: Frontiers Media SA
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26248212
format: Online
language: English
type: Review
coverage: Das K.P., Department of Computer Science, Christ University, Bengaluru, India; Gavade P., Independent Practitioner, San Francisco, CA, United States

Impact of nanoparticles on immune cells and their potential applications in cancer immunotherapy
subject: Antigen presentation; Dendritic cells; Macrophages; Nanotechnology; T lymphocytes
description: Nanoparticles represent a heterogeneous collection of materials, whether natural or synthetic, with dimensions aligning in the nanoscale. Because of their intense manifestation with the immune system, they can be harvested for numerous bio-medical and biotechnological advancements mainly in cancer treatment. This review article aims to scrutinize various types of nanoparticles that interact differently with immune cells like macrophages, dendritic cells, T lymphocytes, and natural killer (NK) cells. It also underscores the importance of knowing how nanoparticles influence immune cell functions, such as the production of cytokines and the presentation of antigens which are crucial for effective cancer immunotherapy. Hence overviews of bio-molecular mechanisms are provided. Nanoparticles can improve antigen presentation, boost T-cell responses, and overcome the immunosuppressive tumor environment. The regulatory mechanisms, signaling pathways, and nanoparticle characteristics are also presented for a comprehensive understanding. We review the nanotechnology platform options and challenges in nanoparticles-based immunotherapy, from an immunotherapy perspective including precise targeting, immune modulation, and potential toxicity, as well as personalized approaches based on individual patient and tumor characteristics. The development of emerging multifunctional nanoparticles and theranostic nanoparticles will provide new solutions for the precision and efficiency of cancer therapies in next-generation practice. Copyright 2024 The Authors.
creator: Nair J.B.; Joseph A.M.; Sanoop P.; Joseph M.M.
source: Biocell, Vol-48, No. 11, pp. 1579-1602.
publisher: Tech Science Press
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 3279545; CODEN: BOCEE
format: Online
language: English
type: Review
coverage: Nair J.B., Leibniz Institute of Photonic Technology, Albert-Einstein-Stra 9, Jena, 07745, Germany, Serah Zines LLP, Sreeragam, Naduvannor P.O., Kerala, Kozhikkode, 673614, India; Joseph A.M., Department of Chemistry, Newman College, Kerala, Thodupuzha, 685585, India; Sanoop P., Department of Chemistry, Madanapalle Institute of Technology & Science (MITS), Madanapalle, Andhra Pradesh, Chittoor, 517325, India; Joseph M.M., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India

Calcium Sulfide Based NanophosphorsA Review on Synthesis Techniques, Characterization and Applications
subject: Biomedicine; Nanophosphors; Optoelectronics; Photoluminescence
description: Calcium sulfide (CaS) is a widely investigated alkaline earth sulfide nanophosphor with promising applications in optoelectronics and biomedical fields due to its excellent photoluminescence properties. The selection of the synthesis method is a crucial factor in determining the efficacy of nanophosphors for various applications. This review provides a comprehensive overview of the various synthesis techniques employed to develop CaS nanophosphors, including solvothermal, alkoxide, sol-gel, microwave, wet chemical co-precipitation, solid-state diffusion, and single-source precursor methods. The structural and optical properties of CaS nanophosphors are discussed in detail, highlighting the influence of different dopants on the emission color, which can be tuned from blue to red. The review also explores the potential applications of CaS nanophosphors in optoelectronics and biomedicine. This review serves as a valuable resource for researchers interested in developing CaS nanophosphors for various optoelectronic and biomedical applications, providing insights into the latest advancements and future prospects in this field. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
creator: Rekha S.; Anila E.I.
source: Journal of Fluorescence
publisher: Springer
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10530509; CODEN: JOFLE
format: Online
language: English
type: Review
coverage: Rekha S., Department of Physics, Maharajas College, Kerala, Ernakulam, 682011, India; Anila E.I., CHRIST (Deemed to be University), Bengaluru, 560029, India, Optoelectronic and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, Philippines

Job Satisfaction Among Health-Care Practitioners: A Bibliometric Analysis
subject: Bibliometric analysis; Burnout; Health Care; Job satisfaction; Turnover intention
description: Purpose: The study aims to throw light on job satisfaction among health-care practitioners based on the metadata of published literature from Scopus database with the help of bibliometric analysis. Design/methodology/approach: Metadata of 6,998 publications from the Scopus database were extracted. Bibliometric analysis was done with country-based co-authorship analysis, all keywords-based co-occurrence analysis, sources-based citation analysis, cited authors-based co-citation analysis, and term co-occurrence based on text data. Findings: It was found that United States had the highest number of publications at 2,037. The Journal Of Nursing Management had the highest number of publications (332). Term co-occurrence based on text data reveals that job satisfaction, turnover intention, work engagement, compassion fatigue, job stress, organizational commitment, job demand, job performance, workplace violence, job burnout, career satisfaction, safety climate, organizational support, transformational leadership, leadership style, discrimination, workplace bullying, and job strain are the most prominent terms. The paper also highlights the factors affecting job satisfaction of employees in the health-care sector. Conclusion: The paper tries to highlight the publication trends on the job satisfaction among health-care practitioners. Since health care is a primary sector, prosperity of other sectors in the society depends on the job satisfaction level of employees in this sector. 2024 Association for Radiologic & Imaging Nursing
creator: Saha S.; Saha S.K.; Jha A.; Kumar S.
source: Journal of Radiology Nursing
publisher: Elsevier Inc.
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 15460843
format: Online
language: English
type: Review
coverage: Saha S., Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, Majitar, India; Saha S.K., School of Business and Management, CHRIST University, Bangalore, India; Jha A., Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, Majitar, India; Kumar S., Department of Management, Sikkim University, Sikkim, Gangtok, India

Advances in detecting non-steroidal anti-inflammatory drugs (NSAIDs) using molecular receptors and nanostructured assemblies
description: The detection and quantification of non-steroidal anti-inflammatory drugs (NSAIDs) are crucial due to their widespread use and potential impact on human health and the environment. This review provides a comprehensive survey of the recent advancements in sensing technologies for NSAIDs, focusing on molecular receptors and nanostructured assemblies. Molecular receptors based on different fluorescent molecules such as anthracene, naphthalimide, squaraine, quinoline, BINOL, etc. offer high selectivity and sensitivity for NSAID detection. In parallel, nanostructured assemblies including CdSe/ZnS, Cd/S quantum dots (QDs), carbon dot-containing imprinted polymers, Ag and Au nanoparticles (NPs), hydrogel-embedded chemosensors, etc. were utilized for NSAID detection. This review highlights the different binding pathways with the change of various photophysical properties combining molecular recognition elements with nanomaterials to develop innovative sensors that achieve rapid, sensitive, and selective detection of NSAIDs. The review also discusses current challenges and future prospects in the field and based on reported designed receptors and nanostructured assemblies. To the best of our knowledge, no reviews have been reported on this topic so far. Thus, this review will fruitfully guide researchers to design various new molecular receptors and nanostructured materials to detect NSAIDs. 2024 RSC.
creator: Das A.K.
source: RSC Medicinal Chemistry
publisher: Royal Society of Chemistry
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 26328682; CODEN: RMCSE
format: Online
language: English
type: Review
coverage: Das A.K., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India

Advances in suicide prevention: Critical overview of the gaps in suicide risk assessments, multimodal strategies, medicolegal risks, and the emerging evidence
subject: evidence-based strategies; suicide; suicide prevention; suicide research; suicide risk assessment
description: The CDC reports that the United States has the highest suicide rates in over 80 years. Numerous public policies aimed at reducing the rising suicide rates, such as Aetna's partnership with the American Foundation for Suicide Prevention (AFSP) and the zero-suicide initiative, continue to challenge these attempts. It, therefore, remains imperative to explore the shortcomings of these efforts that hamper their efficiency in reducing suicide rates. Advancements in research over time have sparked scientific skepticism, encouraging re-evaluation of established concepts. The current paper tests prevalent assumptions and arguments to uncover a scientifically informed approach to addressing rising suicide rates in clinical settings. The Author(s), 2024.
creator: Gupta M.; Khurana P.; Gupta N.
source: CNS Spectrums
publisher: Cambridge University Press
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 10928529; CODEN: CNSPF
format: Online
language: English
type: Review
coverage: Gupta M., Southwood Psychiatric Hospital, Pittsburgh, PA, United States; Khurana P., Department of Psychology, Christ University, Delhi NCR, India; Gupta N., Department of Psychiatry, Dayton's Children Hospital, Dayton, OH, United States

Breaking the Taboo: Addressing Menstrual Health Challenges in India
subject: Menstrual Health; Menstrual Health Management; Menstruation; Sexually Transmitted Diseases
description: Although, menstrual hygiene is a topic as ancient as mankind, it has recently garnered attention because society is more willing to face its difficulties. Adolescents seldom talk about issues related to menstruation, menstruation disorders, menstrual cleanliness, and customs of their culture. There is little data on the hardships that teenage females bear from menstruation and their social norms. Adolescent health education must include information about menstruation. Menstrual behaviors are often greatly influenced by culture, awareness, and social condition. However, periods, behaviors, and problems are seldom included in health education programs for the younger girls in impoverished nations. International health organizations such as WHO and UNICEF have advised developing culturally responsive menstrual health management (MHM) as well as water, sanitation and hygiene (WASH) programs for the adolescent girls. Without an awareness of the preconceived notions and prejudices that teenage girls in poor nations currently have about menstruation, these programs cannot be implemented. The goal of this review from India was to record the myths that are currently in circulation concerning menstruation, menarche, and other understudied menstrual constraints. Our goal in conducting this review was to characterize and assess the effectiveness of menstruation education programs designed to provide early teenage girls the information and abilities they need to support menstrual health. RJPT All right reserved.
creator: Jadhav P.; Hajare A.; Vatsa M.; Sebastian S.; Unnisa S.; Paliwal M.
source: Research Journal of Pharmacy and Technology, Vol-17, No. 11, pp. 5653-5659.
publisher: Research Journal of Pharmacy and Technology
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9743618
format: Online
language: English
type: Review
coverage: Jadhav P., Krishna institute of pharmacy, Krishna Vishwa Vidyapeeth, Maharashtra, Karad, India; Hajare A., Bharati Vidyapeeth College of Pharmacy, Maharashtra, Palus, 416310, India; Vatsa M., Akhildev IPR and Research Services, UP, Greater Noida, India; Sebastian S., School of Business and Management, Christ University, India; Unnisa S., Department of Environmental Science, Osmania University, Telangana, Hyderabad, India; Paliwal M., Sri Balaji University, Maharashtra, Pune, India

Nanocarbon assisted green hydrogen production: Development and recent trends
subject: Biohydrogen production; Electrochemical hydrogen production; Hydrogen; Photo-driven hydrogen production; Renewable and sustainable energy
description: The increasing consumption of energy and consequent fast depletion of fossil fuels and associated environmental challenges necessitate transformative innovations in the field of energy conversion. Owing to its exceptional energy density and zero emissions during combustion, Hydrogen is hailed as a promising source of clean and renewable energy that can replace fossil fuels in future energy conversion systems. Since Hydrogen is not readily available in the atmosphere, a variety of pathways have been followed for the evolution of Hydrogen from water and organic materials, which requires the involvement of catalysts to accelerate the reactions. Currently, noble metals and their alloys represent state-of-the-art materials for HER (Hydrogen Evolution Reaction), and the scarcity and high expense of such materials impose significant constraints on their widespread implementation in hydrogen production. In this context, nanocarbons and their composites for HER are worth exploring owing to their abundance, cost-effectiveness, eco-friendliness, exceptionally large surface-to-volume ratio, and excellent electrical and charge transfer properties. Here, three leading hydrogen production methods - biological, electrochemical, and photo-driven- are analyzed based on their characteristics, effectiveness, and limitations w.r.t. different nanocarbon materials. 2023 Hydrogen Energy Publications LLC
creator: Kumar D.; Abraham J.E.; Varghese M.; George J.; Balachandran M.; Cherusseri J.
source: International Journal of Hydrogen Energy, Vol-50, pp. 118-141.
publisher: Elsevier Ltd
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 3603199; CODEN: IJHED
format: Online
language: English
type: Review
coverage: Kumar D., Department of Physics, School of Sciences, JAIN (Deemed to be University), Karnataka, Bangalore, India; Abraham J.E., Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Varghese M., Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; George J., Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Balachandran M., Department of Physics & Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Cherusseri J., Graphene and Advanced 2D Materials Research Group (GAMRG), School of Engineering and Technology, Sunway University, No.5 Jalan University, Bandar Sunway, Petaling Jaya, 47500, Malaysia

Growth of Indian cement industry, its environment impact and emerging alternatives
subject: Cement; Concrete; Environment impact; Greenhouse gases; Gross domestic product (GDP0
description: The present study provides a detailed review on growth of Indian cement industry, its environmental implications of cement production and its significant influence on the future trajectory of the Indian concrete industry. The Indian cement sector, a vital contributor to the nation's economy, faces a dual challenge of meeting the growing demand for construction materials while mitigating its environmental footprint. The study delves into the industry's current status as the world's second-largest cement producer and its impact on various sectors, including employment, GDP contribution, and dependence on real estate and infrastructure. The paper identifies key obstacles hindering the Indian concrete industry's full potential, such as a slowdown in real estate development, low industrial investment, regulatory changes, and constraints on resource extraction. Despite the industry's promising growth, the looming threats from emerging technologies and increasing environmental concerns, particularly related to greenhouse gas emissions, necessitate a strategic shift towards sustainability. A central focus of the research is the urgent need for the Indian concrete industry to address its environmental impact, specifically the 7% contribution to global greenhouse gas emissions. The study explores the industry's role in creating carbon-neutral concrete by 2050 and emphasizes the importance of collaboration with policymakers, financial institutions like the International Finance Corporation (IFC), and end users in achieving this ambitious goal. The study reveals the comprehensive resource for industry stakeholders, and researchers interested in understanding the environmental implications of cement production and charting a sustainable course for the future of the Indian concrete industry and emerging alternatives. 2024, National Institute of Science Communication and Policy Research. All rights reserved.
creator: Mudgal V.; Chellasamy A.
source: Indian Journal of Engineering and Materials Sciences, Vol-31, No. 1, pp. 38-50.
publisher: National Institute of Science Communication and Policy Research
date: 2024-01-01
rights: All Open Access; Bronze Open Access
relation: ISSN: 9714588
format: Online
language: English
type: Review
coverage: Mudgal V., Department of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 076, India; Chellasamy A., Department of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560 076, India

Cassava (Manihot esculenta Crantz)A potential source of phytochemicals, food, and nutrition-An updated review
subject: cassava; detoxification; fermentation; flour; polyphenols; starch
description: Cassava (Manihot esculenta Crantz) is believed to be an important staple food crop providing potential valuable food source as well as variety of phytoconstituents. Its starchy tubers provide a significant source of energy for around 500 million individuals. Among staple crops, it is regarded to be one of the top suppliers of carbohydrates. Its physicochemical qualities, as well as its availability, have made it a captivating food component. Cassava starch is a valuable raw material used to make a variety of both native and modified starch for cooking purposes. They have also been used for a variety of industrial uses. Cassava starch and flour have the potential to be valuable alternatives to rice, maize, and wheat crops. The advantages included being a staple diet for humans, a component of animal feeds, a raw ingredient for food processing, edible coatings, locally produced alcoholic beverages, and ethanol manufacturing. The roots consist of cyanogenic glycosides, which can lead to lethal cyanide poisoning if tubers arse not properly detoxified using different processing methods include washing, fermentation, boiling, peeling and chemical processing to escape toxin content. The current review summarizes cassava's bioactive components which could be a potential source of various pharmaceutical drugs as well as a source of traditional and modern food applications. 2024 The Authors. eFood published by John Wiley & Sons Australia, Ltd on behalf of International Association of Dietetic Nutrition and Safety.
creator: Scaria S.S.; Balasubramanian B.; Meyyazhagan A.; Gangwar J.; Jaison J.P.; Kurian J.T.; Pushparaj K.; Pappuswamy M.; Park S.; Joseph K.S.
source: eFood, Vol-5, No. 1
publisher: John Wiley and Sons Inc
date: 2024-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 26663066;LS;2023-2024;Vol-1; 0484-0499
format: Online
language: English
type: Review
coverage: Scaria S.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Meyyazhagan A., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Gangwar J., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Jaison J.P., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Kurian J.T., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Pushparaj K., Department of Zoology, School of Biosciences, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, India; Pappuswamy M., Department of Life Sciences, Christ University, Karnataka, Bangalore, India; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Joseph K.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, India

Hardware in loop network simulators - An insight overview
subject: Hardware-in-loop; network simulators; system-in-loop
description: Network simulation is a method of using software or a tool which can be used to mimic the network conditions that exist in pre-defined places. This kind of simulation allows the developers, designers, researchers and the network planners to intelligently plan, design, develop and test their applications or research work in changing network conditions. With varying network conditions either because of wireless nature or because of user mobility, it is very difficult to simulate the exact network conditions with the existing network simulators. These network simulators are flexible, re-usable and reliable. But they have a limitation of not being able to replicate the actual network conditions in the laboratories. This calls for a system in the loop or hardware in the loop concept to be extended to the network simulators. The idea of system in the loop is not new. In this paper, an overview with the fundamental understanding of the hardware-in-loop concept for network simulators, their applications and a review of the existing hardware-in-loop network simulators with their advantages and disadvantages is presented. 2024 World Scientific Publishing Company.
creator: Sushanth G.; Ravish Aradhya H.V.
source: International Journal of Modeling, Simulation, and Scientific Computing, Vol-15, No. 1
publisher: World Scientific
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 17939623
format: Online
language: English
type: Review
coverage: Sushanth G., Department of Electronics and Communication Engineering, R. V. College of Engineering, Affiliated to Vtu, Belagavi, Karnataka, Bengaluru, India, Department of Electronics and Communication Engineering, Christ University, Karnataka, Bengaluru, India; Ravish Aradhya H.V., Department of Electronics and Communication Engineering, R. V. College of Engineering, Affiliated to Vtu, Belagavi, Karnataka, Bengaluru, India

Polymer-nanocarbon composites: a promising strategy for enhanced performance of organic solar cells
subject: Conducting/conjugated polymers; Conjugated polymer-nanocarbon composites; Nanocarbon materials; Polymer solar cells
description: The exigency for sustainable and clean energy resources has led to profound research in development of various generations of solar cells, aiming to control the over-exploitation of fossil fuels and subsequently limit environmental degradation. Among the fast-emerging third-generation solar cells, polymer solar cell technology has gained much consideration due to its potential for achieving economically feasible, lightweight, flexible solar energy harvesting devices. As a predominant research area, at present, the major concerns regarding polymer solar cells include improving conversion efficiency, enhancing absorption bandgap in polymers, limiting photochemical degradation, and remediating low dielectric constant. Nanocarbon materials can be effectively blended with polymers and have been widely reported to enhance the performance of polymer solar cells owing to their desirable characteristics like high electrical conductivity, mechanical strength, thermal stability, non-toxicity, large specific surface area, flexibility, and optical transparency. In this review, we briefly discuss various conjugated polymer-nanocarbon composites, including polymer/graphene derivatives, polymer/graphene quantum dots (GQD), and polymer/carbon nanotubes (CNTs), elucidating their roles in the performance enhancement of polymer solar cells (PSCs). Graphical abstract: (Figure presented.). The Author(s) 2023.
creator: K.V G.M.; George J.; Balachandran M.
source: Emergent Materials, Vol-7, No. 1, pp. 17-33.
publisher: Institute for Ionics
date: 2024-01-01
rights: All Open Access; Hybrid Gold Open Access
relation: ISSN: 25225731
format: Online
language: English
type: Review
coverage: K.V G.M., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India, Department of Physics, Christ Academy Institute for Advanced Studies, Bangalore, 560083, India; George J., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India; Balachandran M., Department of Physics and Electronics, Christ (Deemed to Be University), Bangalore, 560029, India