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1973 articles for “(IM)” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Meta-Analysis on Antibiotic Resistance and Its Irrational Use in India: Need of Antibiotic Stewardship Program Implementation
Abstract: Antibiotic resistance is a major health issue in developing countries. This issue is increasing exponentially due to increased consumption, easy availability of medicine and higher incidence of inappropriate use. Moreover, India stands as one among the highest infectious disease burdened country in the world. This study aims to conduct a statistical analysis to find the association between antibiotic resistance and its irrational use in India. Thereby, emphasizing the need for …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 6–14 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Thevenin Impedance Networks for Spice Simulation Using Analog Behavioural Modelling
Abstract: PSPICE/OrCAD software analog behavioral modeling (FREQ) option is used to obtain equivalent circuits for Thevenin equivalent resistance to be used for three types of applications for different circuits (other different networks with these Thevenin models at DC), and Spice files are described to simulation circuits with AC analyses. Three different applications are useful in linear integrated circuits using DC Thevenin resistance of two networks are considered. Firstly, the DC Thevenin …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 39–46 Read article
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Toward Comprehensive Immunization: The Role of Combined COVID-19 and Influenza Vaccines in Public Health
Abstract: The emergence of multi-pathogen vaccines, particularly those combining protection against COVID- 19 and influenza, marks a significant advancement in immunization efforts. These combination vaccines have the potential to streamline vaccination processes, improve vaccine uptake, and reduce the burden on healthcare systems by offering a single dose that targets both viruses. COVID-19 and seasonal influenza are major public health concerns, with overlapping symptoms and seasonal patterns that justify the rationale for …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 9–17 Read article
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Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes Among Nursing Students
Abstract: Living a healthy lifestyle is essential for preventing chronic diseases and maintaining physical, psychological, and social well-being. The present study, titled “Exploring Challenges in Clinical Learning and the Impact of Structured Teaching on Infection Control Knowledge and Attitudes among Nursing Students” aimed to address key challenges faced by nursing students and evaluate the impact of a structured teaching program. The study employed a quantitative research approach using a pre-experimental design …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 1, 2025 · pp. 42–47 Read article
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Evaluating the Efficacy of Implosion Water Treatment Versus Traditional Methods
Abstract: The first worry of all people is the quality of the water. The majority of the water that is accessible is unfit for immediate usage. Certain methods are frequently employed to purify water for optimal use. These methods include UV treatment, chemical treatments, reverse osmosis, filtration, and ultrafiltration, among others. Each of these water treatment methods is applied separately or in combination. There are benefits and drawbacks to each of …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 10–21 Read article
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Phase-Specific Nutrient Requirements in Broilers: Implications for Behavior, Gut Health, Performance, Meat Quality, Welfare, and Economics
Abstract: The broiler industry plays an inevitable role in global food security, requiring optimal formulation strategies tailored to each growth phase, starter, grower, and finisher for sustainable production. This review explores phase-specific nutrient requirements and their implications for broiler performance, meat quality, welfare, and economics. During the starter phase (1–10 days), nutrition focuses on immune development, gut health, and skeletal growth, with high protein and low energy needs. In the grower …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 5–15 Read article
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Reimagining Plastic Waste: The Impact of Eco-Bricking on Student Engagement and Community Sustainability
Abstract: Plastic pollution poses a severe threat to the environment, impacting ecosystems, wildlife, and human health. With millions of tons of plastic waste generated globally each year, innovative solutions for waste management are essential. This paper explores the eco-bricking initiative at Sovanagar High School, which transforms plastic waste into eco-bricks—sustainable building materials used for constructing green walls, benches, and other structures on the school campus. By effectively reducing plastic waste, this …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 23–25 Read article
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Atmospheric Boundary Layer Processes: Impacts on Weather Patterns and Climate Change
Abstract: The atmospheric boundary layer (ABL) is a vital component of the Earth's climate system, acting as the interface between the terrestrial surface and the overlying atmosphere. This layer, typically extending from the surface to a height of a few hundred meters, is characterized by strong gradients in meteorological variables such as temperature, humidity, wind speed, and atmospheric pressure. Understanding the dynamics of the ABL is essential for comprehending weather phenomena, …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 22–25 Read article
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Experimental Evaluations of the Tensile and Impact Characteristics of Polypropylene Composites Reinforced with Hybrid Fibers
Abstract: In marine engineering design, polymeric composites reinforced with natural fibers are frequently used. Through hybridization, natural fiber plastic composites' mechanical properties can be improved. Assessing the performance of recycled newspaper fiber (rNF) and rNF/glass fiber (GF) hybrid polypropylene composites is the aim of the current experiment. Using maleic anhydride (MA) as a coupling agent, the effects of GF loading on the impact strength and tensile behavior of composite materials with …
Published in Emerging Trends in Chemical Engineering · Vol. 12, Issue 1, 2025 · pp. 30–39 Read article
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Neuroimaging in Clinical Trials for Huntington’s Disease: Emerging Research Findings: The Advancement Directions and Implications
Abstract: Neuroimaging is very important in coordinating and conducting Huntington’s disease clinical trials as a tool in selecting patients, managing safety concerns, and assessing the benefits of interventions. This review presents the current uses and potential future uses of structural and functional magnetic resonance imaging (MRI), diffusion imaging, positron emission tomography (PET), proton magnetic resonance spectroscopy (MRS), perfusion imaging, and magneto encephalography (MEG) in HD trials. We describe how these modalities …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 32–44 Read article
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Optimization of Supply Chain Management Cost Reduction and Delivery Time Improvement
Abstract: Management of the supply chain is vital for every company's success. Businesses can cut expenses and speed up delivery by effectively regulating the flow of goods and services. In this study, we will explore the various strategies and best practices in supply chain management that can help achieve these objectives. We will delve into the importance of efficient sourcing, inventory management, and logistics to streamline operations and optimize the supply …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 15–21 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Immunological and Genetic Markers of Rheumatoid Arthritis Among Women in North India: A Case-Control Study
Abstract: Background: Rheumatoid arthritis (RA) is an autoimmune disease systemically afflicting women marked by chronic inflammation around the involved joints leading to joints destruction. It has both endocrinological and immunological associations as well as genetic associations but data pertaining to women of North India is scanty.Objective: This case-control study was done to evaluate the presence and significance of major immunological and genetic markers of RA in North Indian women with the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Artificial Intelligence in Image Recognition: Context of Machine Vision
Abstract: The machine learning discipline is as old as decades, but some problems such as image recognition, location detection, image classification, image generation, speech recognition, and natural language processing cannot be solved. Image classification studies are another basic, most classic and essential line of research in deep learning. Computer intelligent recognition of the images technology has enabled a gradual reaction (updating) to foreign measurement trends, which promotes advancement of different areas …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 01–06 Read article
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Experimental Study on the Effect of Membranous Milkvetch and Ledebouriella divaricate Immunomodulatory Tablets on cytokine production in allergic rhinitis model mice
Abstract: We have established allergic rhinitis models for use in the treatment of allergic rhinitis with the help of the traditionall Koryo medicine administration, lade-screen Powder-extracted Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablet and the effect of lade-screen Powder on cytokine production in allergic rhinitis model mice. In the allergic rhinitis model, the administration of Membranous Milkvetch and Ledebouriella divaricate immunomodulatory tablets, along with Lade-screen Powder, demonstrated significant therapeutic effects. These …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 3, 2025 Read article
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A Comprehensive Review on Nanostructured Polymer Composites for CT Imaging Contrast Enhancement in Brain Tumor Diagnosis
Abstract: The detection and characterization of brain tumors require high-resolution and non-invasive imaging modalities that have the ability of differentiating tumorous tissues and healthy brain tissues. Computed tomography (CT) can be included in this number because, in addition to providing speedy scans and penetration to deep tissue, the diagnostic capability in soft tissue organ such as the brain is poor despite low natural contrast. The review is dedicated to the emerging …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 148–162 Read article