Review
Computer Science, Information Systems
Sourabh Katoch, Sumit Singh Chauhan, Vijay Kumar
Summary: This paper discusses recent advances in genetic algorithms, analyzing selected algorithms of interest in the research community. It helps new and demanding researchers gain a broader understanding of genetic algorithms. The review covers well-known algorithms, genetic operators, research domains, and future research directions in genetic algorithms.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Review
Education & Educational Research
Aditya Nigam, Rhitvik Pasricha, Tarishi Singh, Prathamesh Churi
Summary: In the past 1-2 years, there have been significant advancements in the field of education, with schools and colleges transitioning online to offer more resources to students. The COVID-19 pandemic has created more learning opportunities for students. The rise of online proctoring systems, particularly AI-based systems, has brought convenience but also raised concerns such as security and privacy.
EDUCATION AND INFORMATION TECHNOLOGIES
(2021)
Review
Computer Science, Interdisciplinary Applications
Shubhkirti Sharma, Vijay Kumar
Summary: This paper provides an overview of multi-objective optimization algorithms and their applications in engineering. It discusses the pros and cons of representative algorithms in each category and suggests future directions for research. The study aims to assist new researchers in applying these algorithms in their respective fields.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Review
Computer Science, Interdisciplinary Applications
Rakesh Kumar, Jateen Khepar, Kusum Yadav, Elham Kareri, Shoayee Dlaim Alotaibi, Wattana Viriyasitavat, Kamal Gulati, Ketan Kotecha, Gaurav Dhiman
Summary: Nowadays, the program's mechanisms are becoming more dynamic, making it tough to maintain performance for a longer duration to increase the system's long-term growth. In order to tackle this problem, the available data can be used to construct the problems using fuzzy set theory. Fuzzy arithmetic is significant in decision-making problems, confidence analysis, and optimization. This research aims to give an overview of current techniques in this field and focuses on improving the arithmetic process in a fuzzy environment.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Review
Public, Environmental & Occupational Health
Qingyong Zheng, Jianguo Xu, Ya Gao, Ming Liu, Luying Cheng, Lu Xiong, Jie Cheng, Mengyuan Yuan, Guoyuan OuYang, Hengyi Huang, Jiarui Wu, Junhua Zhang, Jinhui Tian
Summary: The concept of Living Systematic Review (LSR) has attracted attention in recent years, with an increasing number of studies being conducted based on LSR methodology. This study aims to comprehensively review existing LSR-related studies and analyze their overall picture and future trends using bibliometrics. The results show that LSR has gained high acceptance and has been widely practiced, particularly in the context of COVID-19. Collaboration between author teams is more frequent in Europe, North America, and Australia, and there is a need for standardization in the LSR methodology.
Review
Psychology, Multidisciplinary
Marco Mandolfo, Lucio Lamberti
Summary: Impulse buying is a pivotal subject in consumer psychology, but there has been little discussion on how to assess impulse purchases. Research methods include quantitative self-reports, laboratory investigations, fieldwork observations, and qualitative interviews. Self-reports and interviews are useful for assessing the cognitive facet of impulse purchasing, while laboratory investigations and fieldwork observations are better suited for exploring the behavioral and visceral facets of impulse buying.
FRONTIERS IN PSYCHOLOGY
(2021)
Review
Biotechnology & Applied Microbiology
Yitao Sun, Wenlong Yang, Hongxia Shi, Sikander Khan Tanveer, Jiangbo Hai
Summary: This study analyzed the academic works on biodegradable films for soil published in the past 30 years based on the Web of Science Core Collection database. Using the mathematical double matrix model VOS Viewer software and CiteSpace software, the study identified the increasing trend of publications in this field year by year, with polymer science being the most popular subject. China and the United States were found to have the highest number of publications, and Washington State University was the most productive institution. The study further revealed the essential characteristics, research strengths, knowledge structure, main research fields, and hotspots in the field of biodegradable films for soil, as well as assessed trends and performance in different countries. The importance of biodegradable films was illustrated through field trials on different plants. This study provides valuable insights for researchers to understand the development and trends in the field of biodegradable films for soil.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Review
Pediatrics
M. Kaufmann, L. Mense, L. Springer, J. Dekker
Summary: Current resuscitation guidelines recommend tactile stimulation for infants with insufficient respiratory efforts after birth, but there is no clear recommendation regarding the timing, method, and relationship with gestational age. Existing evidence suggests that repetitive stimulation within the first few minutes of resuscitation improves oxygenation. However, there is wide variation in the management of tactile stimulation among different centers, calling for further research to optimize strategies.
PEDIATRIC RESEARCH
(2022)
Review
Forestry
Chloe M. Canning, Colin P. Laroque, David Muir
Summary: Dendrochemistry is a discipline that studies the elements found within tree rings, providing insights into environmental changes. However, its results are influenced by environmental and species-specific processes. This literature review discusses the history of dendrochemistry, highlights the need for a greater understanding of specific processes, and recommends measures to enhance research in this field.
Review
Chemistry, Multidisciplinary
Ke Li, Craig M. Crews
Summary: PROTACs are a type of molecules with novel event-driven mechanism, offering multiple advantages over traditional inhibitors, such as catalytic nature and targeted protein degradation, which may lead to improved therapeutic outcomes with reduced toxicity. However, further research and development efforts are needed to fully explore their potential.
CHEMICAL SOCIETY REVIEWS
(2022)
Review
Oncology
Ottovon Bismark Dakurah, Cynthia Raissa Tchuem Tamandjou, Moleen Zunza, Wolfgang Preiser, Tongai Gibson Maponga
Summary: This study aimed to systematically summarize the changes in the prevalence of viral hepatitis among HCC patients in Africa over the past four decades (1980-2019). The results showed a decrease in the incidence of HBV-related HCC and an increase in HCV-related HCC, highlighting the importance of continued monitoring and prevention programs in Africa to address these trends.
Review
Environmental Sciences
Ruby Diaz, Brendan Mackey, Sreeni Chadalavada, Jyoti Kainthola, Phil Heck, Ramesh Goel
Summary: The article discusses the pollution of surface water by excess phosphorus and nitrogen, as well as the Enhanced Biological Phosphorus Removal (EBPR) based treatment as an economical and eco-friendly solution. Molecular tools targeting bacterial genomic DNA have helped reveal the identity of potential PAO and DPAO responsible for the success of EBPR, providing confidence to the global wastewater community for EBPR practices.
Review
Cell Biology
Danko Jeremic, Lydia Jimenez-Diaz, Juan D. Navarro-Lopez
Summary: Alzheimer's disease is the most common neurodegenerative disease in aging population with lack of effective treatments. Accumulation of Aβ peptides is considered one of the fundamental neuropathological pillars of the disease, thus many therapies target Aβ.
AGEING RESEARCH REVIEWS
(2021)
Review
Materials Science, Multidisciplinary
Joseph Rich, Zhenhua Tian, Tony Jun Huang
Summary: The research in intracellular delivery technologies has surged with the advancement in cell-based therapies and reprogramming. Physical cell membrane permeabilization techniques, especially sonoporation, show promise in delivering functional cargos to various cells, but bubble-based methods may have limitations such as requiring contrast agents and potential damage to cell components. Development of non-bubble-based sonoporation mechanisms aims to overcome these limitations and improve intracellular delivery efficiency.
ADVANCED MATERIALS TECHNOLOGIES
(2022)
Review
Chemistry, Multidisciplinary
Wentao Jiang, Ziyu Wu, Zheng Gao, Mimi Wan, Min Zhou, Chun Mao, Jian Shen
Summary: Artificial cells are constructed to imitate natural cells and can be used for studying biological processes and the origin of life. They can be endowed with various functions through the incorporation of proteins and genes, and have great potential in therapeutic applications.
Review
Biochemistry & Molecular Biology
Suresh C. C. Tyagi, Sathnur Pushpakumar, Utpal Sen, Sri Prakash L. Mokshagundam, Dinesh K. K. Kalra, Mohamed A. A. Saad, Mahavir Singh
Summary: Although the mechanisms underlying respiratory failure in Duchenne muscular dystrophy (DMD) and long-COVID are unclear, there is evidence of neopterin (NPT) involvement in both conditions. Studies have shown increased levels of NPT and other inflammatory markers in lung tissue, leading to fibrosis of the diaphragm. Understanding the epigenetic regulation and generation of NPT in long-COVID patients is of interest.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Cardiac & Cardiovascular Systems
Muhammad Umer, Dinesh K. Kalra
Summary: Fabry disease is a rare genetic disorder caused by a deficiency in the alpha-galactosidase A enzyme, leading to the accumulation of globotriaosylceramide in various organs. Fabry cardiomyopathy is characterized by abnormalities in the heart, including increased ventricular wall thickness, valvular disease, arrhythmias, and heart failure. Early diagnosis and treatment are crucial to prevent complications and improve patient outcomes. This review focuses on the role of cardiovascular magnetic resonance imaging in the diagnosis, decision-making, and monitoring of treatment efficacy.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2023)
Article
Computer Science, Information Systems
Akshay Juneja, Vijay Kumar, Sunil Kumar Singla
Summary: There is a great demand for a fast and efficient video dehazing system with low computational complexity among drivers during hazy winter nights. Existing video dehazing algorithms suffer from color distortion and are not suitable for videos with dense haze. The proposed Aethra-Net model, which uses a modified autoencoder and Resnet-101 layers, along with a vessel enhancement filter, outperforms existing dehazing models according to experimental results.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Article
Computer Science, Information Systems
Kamakshi Rautela, Dhruv Sharma, Vijay Kumar, Dinesh Kumar
Summary: With the wide availability of images and videos on the Internet, the detection and classification of inappropriate content has become a serious concern. This paper proposes a novel deep-learning transformer-based framework, called Obscenity Detection Transformer (ODT), to detect and classify inappropriate or pornographic content in videos. The proposed model outperforms the current state-of-the-art CNN model in terms of computational efficiency and accuracy, achieving accuracies of 99.6% and 98.8% on the Pornography-2 k and Pornography-800 datasets, respectively.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Computer Science, Information Systems
Renju Aleyamma Zachariah, Sahil Sharma, Vijay Kumar
Summary: Forecasting aviation demand is a significant challenge in the airline industry, as it enables planning, revising strategies, and preparing for new demands and challenges. This study evaluates various forecasting techniques for passenger demand, including econometric, statistical, machine learning, and deep neural network models. It discusses the benefits, challenges, and future scope of passenger demand forecasting, and aims to inspire young researchers to pursue careers in the aviation industry.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Akshay Juneja, Vijay Kumar, Sunil Kumar Singla
Summary: Smog is an air pollutant that reduces visibility for drivers. Researchers have developed visibility restoration models to address these issues, but finding an effective desmogging technique is challenging. In this study, a residual regression network is proposed to remove smog from road images, and it outperforms existing models in terms of various performance metrics.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Vijay Kumar, Sahil Sharma
Summary: This paper presents a technique for hiding secret messages in images using steganography during network transfer. The effectiveness of the facial re-enactment GAN (FRe-GAN) technique is shown through qualitative and quantitative results on various datasets. A comparative study is conducted to highlight the limitations of existing literature and motivate the proposed approach. The proposed steganography-based GAN model is experimented using benchmark facial datasets, and achieves superior qualitatively and quantitatively results compared to state-of-the-art systems.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Pooja Rani, Kamlesh Dutta, Vijay Kumar
Summary: Drug synergy is a promising approach for malignant diseases, which can improve therapeutic efficacy, reduce toxicity, and overcome drug resistance. This study uses computational techniques to model the combined activity of anticancer drugs and analyzes their performance using various metrics. By utilizing existing datasets and computational techniques, researchers can accelerate the development of new drugs, saving both time and money.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Sahil Sharma, Vijay Kumar
Summary: With the increasing demand for electric vehicles and high-end vehicle technologies in the current market, attention is being given to distracted driver detection with the use of artificial intelligence. This paper proposes new strategies to improve the performance of driver detection methodology, including driver activity detection and driver fatigue detection systems. The proposed model achieved a classification accuracy of 99.69% in activity detection, compared to the state-of-the-art comparison's accuracy of 94.32%. The KNN classifier showed the best accuracy of 76.33% in detecting driver fatigue. Experimental results demonstrate the superiority of the proposed model over existing models, making it applicable in real-life environments.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Chemistry, Medicinal
Muhammad Umer, Dinesh K. K. Kalra
Summary: Fabry disease is a rare genetic disorder that affects the metabolism of glycosphingolipids. It results in the accumulation of globotriaosylceramide in lysosomes due to a deficiency of the alpha-galactosidase A enzyme. This disease affects multiple organs, mainly the kidneys, heart, and cerebrovascular system. Early diagnosis and treatment are crucial in preventing irreversible tissue damage, organ failure, and life-threatening complications that can significantly impact life expectancy. This review focuses on the current and emerging treatment options for Fabry disease.
Article
Computer Science, Information Systems
Vijay Kumar
Summary: This study provides a thorough analysis of the arithmetic optimization algorithm (AOA), including its mathematical modeling and inspiration. The study investigates various variants of AOA, such as improved, binary, chaotic, hybrid, and multi-objective. It also discusses the applications of AOA and its variants in different research domains, as well as potential research directions. The study aims to assist young researchers in understanding the fundamental concepts of AOA and applying them to their own research issues.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Medicine, General & Internal
S. Hammad Jafri, Maya Guglin, Roopa Rao, Onyedika Ilonze, Kareem Ballut, Zulfiqar Qutrio Baloch, Mohammed Qintar, Joel Cohn, Matthew Wilcox, Andrew M. Freeman, Dinesh K. Kalra, Wen-Chih Wu
Summary: This study found that patients with heart failure (HF) were able to achieve similar or even better functional and psychosocial outcomes after intensive cardiac rehabilitation (ICR), despite their lower baseline functional status and psychosocial scores compared to non-HF patients.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Cardiac & Cardiovascular Systems
Nachiket Apte, Dinesh K. Kalra
Summary: Ventricular ectopy is a common cardiac arrhythmia that can be managed with antiarrhythmic drugs. However, the use of these drugs should be done cautiously due to potential side effects.
Article
Mechanics
Tejaswini Kumari, Dinesh Kumar, K. N. Rai, S. K. Singh
Summary: This paper presents a mathematical heat transfer model for predicting the temperature profile at the tumor position during hyperthermia treatment in multi-layer skin tissue. It combines the dual-phase-lag model with a Gaussian heat source term and discusses the effects of various parameters and boundary conditions. The study concludes with a discussion on a better approach to treat tumor cells during hyperthermia treatment without harming neighboring healthy tissues.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Mathematics, Applied
D. L. Suthar, Dinesh Kumar, Haile Habenom
Summary: This article discusses the possible solutions of the fractional kinetic equation associated with the generalized multiindex Bessel function using the Laplace transform method. Numerical results and graphical solutions of the main theorems are also provided.
DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS
(2023)
