Article
Multidisciplinary Sciences
Anna K. Fortunato, Casey P. Glasser, Joy A. Watson, Yongjin Lu, Jan Rychtar, Dewey Taylor
Summary: This study used mathematical modeling to investigate the impact of insecticide-treated nets (ITNs) on the prevention of visceral leishmaniasis (VL). The results suggest that in order to eliminate VL, ITN usage would have to stay above 96%, higher than the 91% observed at the end of a large trial in Nepal and India. Additionally, the model indicates that asymptomatic individuals play a crucial role in VL transmission.
ROYAL SOCIETY OPEN SCIENCE
(2021)
Article
Public, Environmental & Occupational Health
Ushnish Guha, Moytrey Chatterjee, Ashif Ali Sardar, Kingsuk Jana, Pabitra Saha, Ardhendu Kumar Maji, Subhasish Kamal Guha
Summary: Despite the long-term endemicity of the disease, the knowledge level about kala-azar was found to be poor in the community, attributed to low education level and socioeconomic status. However, the attitude and practices towards the disease were good, indicating room for improvement in knowledge through proper health education.
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
(2021)
Article
Infectious Diseases
Om Prakash Singh, Puja Tiwary, Anurag Kumar Kushwaha, Shakti Kumar Singh, Dhiraj Kumar Singh, Phillip Lawyer, Edgar Rowton, Rahul Chaubey, Abhishek Kumar Singh, Tulika Kumari Rai, Michael P. Fay, Jaya Chakravarty, David Sacks, Shyam Sundar
Summary: This study evaluated the infectiousness of patients with active visceral leishmaniasis, post-kala-azar dermal leishmaniasis, and asymptomatic infection to the sandfly vector. The findings suggest that early diagnosis and treatment of active cases could effectively reduce transmission, and asymptomatic individuals do not play a significant role in maintaining the transmission cycle.
Article
Infectious Diseases
Vijay Kumar, Niyamat A. Siddiqui, Timothy M. Pollington, Rakesh Mandal, Sushmita Das, Shreekant Kesari, Vidyanand R. Das, Krishna Pandey, T. Deirdre Hollingsworth, Lloyd A. C. Chapman, Pradeep Das
Summary: Visceral leishmaniasis (VL) is declining in India, and the goal of eliminating it as a public health problem by 2020, set by the World Health Organization (WHO), is nearing achievement. Intensified combined interventions may help reach this goal, although their impact has not been assessed. A pilot study in the highly-endemic Vaishali district, which implemented intensified interventions, showed a substantial decrease in VL cases. This approach should be considered in other highly-endemic districts.
Article
Multidisciplinary Sciences
J. S. Devipriya, Ashok Kumar Gupta, Rajendra Babu Veeri, Pavan Garapati, Rishikesh Kumar, Sameer Dhingra, Krishna Murti, V. Ravichandiran, Krishna Pandey
Summary: The study found a significant gap in knowledge, attitude, and practices towards visceral leishmaniasis among people living with HIV in Bihar, highlighting the need for enhanced health education initiatives in endemic areas to improve awareness and preventive practices for VL.
Article
Public, Environmental & Occupational Health
J. S. Devipriya, Ashok Kumar Gupta, Garapati Pavan, Sameer Dhingra, Krishna Murti, Velayutham Ravichandiran, Krishna Pandey
Summary: This study assessed the knowledge, attitude, and practices (KAP) toward VL infection among VL-infected and HIV/VL co-infected patients in Bihar. The findings showed similar deficits in KAP scores among both groups. HIV/VL participants with a personal or family history of VL had better awareness and preventive practices. There was a correlation between knowledge, attitude, and practice. It is recommended to strengthen KAP among VL and HIV/VL co-infected patients to prevent reinfection-related complications.
AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
(2022)
Article
Immunology
Kristien Cloots, Pia Marino, Sakib Burza, Naresh Gill, Marleen Boelaert, Epco Hasker
Summary: The study found that VL-HIV+ and PKDL cases were both associated with a more than twofold increase in VL incidence at the village level in Bihar, India, indicating the importance of VL-HIV+ patients as infectious reservoirs for Leishmania.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2021)
Article
Medicine, General & Internal
Kristien Cloots, Om Prakash Singh, Abhishek Kumar Singh, Anurag Kumar Kushwaha, Paritosh Malaviya, Sangeeta Kansal, Epco Hasker, Shyam Sundar
Summary: This study evaluated the positive predictive value of the current diagnostic algorithm for VL in India's low-endemic setting and the specificity of the rK39 RDT. The findings indicate that the diagnostic algorithm, combining suggestive clinical features with a positive rK39 RDT, is still valid in the current low-endemic setting in India.
Review
Immunology
Rajesh Garlapati, Eva Iniguez, Tiago D. Serafim, Prabhas K. Mishra, Basab Rooj, Bikas Sinha, Jesus G. Valenzuela, Sridhar Srikantiah, Caryn Bern, Shaden Kamhawi
Summary: Visceral leishmaniasis (VL) is a potentially deadly parasitic disease prevalent in the northern part of the Indian sub-continent. India, Bangladesh, and Nepal are working together to eliminate VL as a public health problem by 2020 through early detection, prompt treatment, and vector control measures. Despite being close to the elimination target, important aspects of vector biology and sand fly transmission dynamics still need to be determined to ensure sustained elimination.
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY
(2021)
Review
Immunology
Awnish Kumar, Vishal Kumar Singh, Rahul Tiwari, Prasoon Madhukar, Shashi Kumar, Vibhav Gautam, Christian Engwerda, Shyam Sundar, Rajiv Kumar
Summary: Visceral leishmaniasis (VL) is a severe and often fatal form of leishmaniasis caused by Leishmania donovani in the Indian sub-continent. Post Kala-azar Dermal Leishmaniasis (PKDL) is a late cutaneous manifestation of VL, serving as a significant yet neglected reservoir of infection and posing a serious threat to the VL elimination program in India. Eradicating PKDL should be a priority within the current VL elimination program by understanding its pathogenesis and developing effective strategies for disease management.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Infectious Diseases
Rinki Deb, Rudra Pratap Singh, Prabhas Kumar Mishra, Lisa Hitchins, Emma Reid, Arti Manorama Barwa, Debanjan Patra, Chandrima Das, Indranil Sukla, Ashish Kumar Srivastava, Shilpa Raj, Swikruti Mishra, Madhuri Swain, Swapna Mondal, Udita Mandal, Geraldine M. Foster, Anna Trett, Gala Garrod, Laura McKenzie, Asgar Ali, Karthick Morchan, Indrajit Chaudhuri, Nupur Roy, Naresh K. Gill, Chandramani Singh, Neeraj Agarwal, Sadhana Sharma, Michelle C. Stanton, Janet Hemingway, Sridhar Srikantiah, Michael Coleman
Summary: The study demonstrates that through effective case detection and management, reducing the infection reservoirs for P. argentipes in the human population combined with IRS keeping P. argentipes abundance and infectivity low has reduced VL transmission.
PLOS NEGLECTED TROPICAL DISEASES
(2021)
Article
Environmental Sciences
Debapriya Mondal, Mohammad Mahmudur Rahman, Sidharth Suman, Pushpa Sharma, Abu Bakkar Siddique, Md. Aminur Rahman, A. S. M. Fazle Bari, Ranjit Kumar, Nupur Bose, Shatrunjay Kumar Singh, Ashok Ghosh, David A. Polya
Summary: This study found that in arsenic-exposed populations in Bihar, India, food contributes almost equally to overall arsenic exposure as drinking water does, even in areas where drinking water arsenic levels exceed the WHO guideline value. These results emphasize the importance of food-related exposure in arsenic-endemic areas, especially in regions with high arsenic concentrations in drinking water.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Review
Food Science & Technology
Sujata Chatterjee, Archana Dhole, Anoop A. Krishnan, Kaushik Banerjee
Summary: This article presents the role and challenges of two Indian government agencies (APEDA and FSSAI) in controlling mycotoxins, as well as India's success in preventing mycotoxins throughout the food supply chain.
Article
Infectious Diseases
Onder Ergonul, Gizem Tokca, Siran Keske, Ebru Donmez, Bahar Madran, Azize Komur, Mehmet Gonen, Fusun Can
Summary: This paper describes the elimination of healthcare-associated Acinetobacter baumannii infections in a highly endemic region. The control of Acinetobacter baumannii outbreaks can be achieved by close follow-up supported by molecular techniques, strict application of infection control measures, and isolation of transferred patients.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2022)
Article
Medicine, General & Internal
Caroline Jeffery, Marcello Pagano, Baburam Devkota, Joseph J. Valadez
Summary: This study combines Health Management Information Systems (HMIS) and probability survey data using the statistical annealing technique (AT) to produce more accurate health coverage estimates. The results show that this statistical innovation increases the accuracy of information available for local health system decision making and allows evaluation of indicator accuracy. It also provides a measure of error for HMIS estimates, informing health system professionals about their risks when using HMIS estimates.
Article
Computer Science, Software Engineering
Akshay Juneja, Sunil Kumar Singla, Vijay Kumar
Summary: Dataset plays a crucial role in designing a defogging/dehazing framework for road safety. Existing synthetic datasets fail to adapt well to real-world scenarios, thus a new dataset containing real-roadside images is proposed in this paper. Experimental results reveal that the quality and performance of dehazed images depend on the dataset used.
Article
Computer Science, Artificial Intelligence
Vijay Kumar, Shivam Sharma, Ranjeet
Summary: This paper proposes a non-invasive approach to detect driver drowsiness by extracting facial features and applying them to a hybrid deep learning model. The proposed hybrid model, which combines modified InceptionV3 and LSTM network, outperforms other models in terms of performance measures and effectively detects driver fatigue.
EVOLUTIONARY INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Vijay Kumar, Dilbag Singh
Summary: This study proposes a novel optimization algorithm based on spotted hyenas' behavior, utilizing chaotic maps to fine-tune control parameters. Experimental results show that the algorithm outperforms existing metaheuristic algorithms in standardized test functions and engineering design problems.
Review
Computer Science, Interdisciplinary Applications
Akshay Juneja, Vijay Kumar, Sunil Kumar Singla
Summary: The visibility of drivers is significantly reduced by atmospheric pollutants such as mist, fog, smog, smoke, and haze, leading to the failure of computer vision applications. Image desmogging techniques play a vital role in enhancing the performance of visibility restoration applications and have drawn the interest of researchers. This article provides an overview of recent advances in using desmogging architectures for visibility restoration and presents a general methodology for designing a desmogging model. It also reviews existing desmogging techniques and their quality metrics, software, and hardware specifications, as well as the applications and significance of these algorithms. The challenges and future scope of desmogging techniques are also discussed.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Electrical & Electronic
Kamakshi Rautela, Dinesh Kumar, Vijay Kumar
Summary: Breast ultrasound is commonly used for early detection of breast cancer. However, existing geodesic-based methods require extensive prior knowledge to achieve the region of interest, and ultrasound images often suffer from noise and acoustic shadowing, reducing the accuracy of tumor detection. This article proposes a method that combines Active Contour and Texture Feature Vectors to find discriminative patterns. Experimental results show that this approach outperforms existing algorithms in terms of accuracy, recall, precision, Jaccard index, and F1 score.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(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
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)
Article
Biochemical Research Methods
Pooja Rani, Kamlesh Dutta, Vijay Kumar
Summary: Drug synergy is a promising treatment option for malignancy, as it reduces toxicity and overcomes drug resistance. Computational techniques using artificial intelligence are being utilized to identify synergistic drug combinations, and a new deep-learning model called DrugSymby has been proposed for predicting drug combinations. The model achieved high performance and will be used to determine successful synergistic drug combinations and explore new possibilities.
JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY
(2023)
Article
Telecommunications
Yogendra Kumar, Vijay Kumar
Summary: The internet of things (IoT) is advancing human lives through intelligent services, but security challenges need to be addressed before its full potential can be realized. This study proposes integrating Natural Language Processing (NLP) with IoT systems to enhance security, investigating the current state of NLP and its applications. The study develops a system for identifying malicious behaviors in an IoT environment using n-gram and word-embedding techniques, and addresses security challenges and future directions for enhancing IoT security with NLP.
INTERNET TECHNOLOGY LETTERS
(2023)
Review
Computer Science, Artificial Intelligence
Manjit Kaur, Dilbag Singh, Mohamed Yaseen Jabarulla, Vijay Kumar, Jusung Kang, Heung-No Lee
Summary: The growing population and industrialization have led to a significant increase in environmental pollution, especially air pollution. This has negative impacts on both the environment and human health, resulting in higher rates of illness and death. To address this urgent problem, the development of air quality prediction models has become a crucial area of research.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
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
Computer Science, Information Systems
Manjit Kaur, Dilbag Singh, Vijay Kumar, Heung-No Lee
Summary: This paper proposes a metaheuristics-based lightweight deep learning network (MLNet) for automated cervical cancer diagnosis. Particle swarm optimization and dynamically hybrid niching differential evolution algorithms are used to optimize the hyper-parameters of the convolutional neural network. The experimental results demonstrate that MLNet outperforms existing models on three benchmark cervical cancer datasets.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Computer Science, Information Systems
Manjit Kaur, Ahmad Ali AlZubi, Dilbag Singh, Vijay Kumar, Heung-No Lee
Summary: This paper proposes a lightweight image encryption approach using compressive sensing and a modified seven-dimensional (MSD) hyperchaotic map for medical Internet of Things (MIoT) networks. The MSD is modified to generate more secure secret keys, and the NSCT is used for improved compressive sensing. Measurement matrices are generated using the secret keys obtained from MSD, and encryption is performed on compressed images using secret keys obtained from MSD. Comparative analyses verify the robustness, security, and statistical analysis performance of the proposed encryption approach.