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674 articles for “pattern”
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Preliminary Checklist of Acridoidea (Orthoptera) of Patna District, Bihar (India)
Abstract: The family Acrididae, which falls under the order Orthoptera includes locusts and grasshoppers. Insects are found all over the globe. In general, locusts refer to larger acridids, while smaller species are known as grasshoppers. The comprehensive study indicates that there are 19 species from various families, which include 12 species from Acrididae, 4 Catantopidae, and 3 from Pyrgomorphidae. A thorough investigation was carried out across different crops and habitats to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 67–71 Read article
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Weight Loss Surgery Induced Telogen Effluvium (We Loss SITE) Management – Our Experiences
Abstract: Telogen effluvium, a condition of non-inflammatory, no-scarring, diffuse hair loss after weight loss surgery. A through history taking and videodermatoscopy is an effective tool for evaluation of a patient with weight loss surgery-induced teleogen effluvium (We Loss SITE). Cyclical nutritional therapy, low level laser therapy, autologous platelet rich plasma are effective treatments for telogen effluvium. This case report shares our experience in the management of a patient with weight loss …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 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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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Assessing the Diversity of Migratory Fishes in the Shivnath River, Chhattisgarh, India
Abstract: The Shivnath River, a major tributary of the Mahanadi River in Chhattisgarh, India, is home to various migratory fish species. These fish are vital to the river’s ecosystem and provide important sources of income and food for local communities. This study looks at the diversity, distribution, and conservation status of these migratory fish species in the Shivnath River. Through extensive field surveys, researchers identified 10 migratory fish species in the …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 1, 2025 · pp. 45–51 Read article
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Analysis on Decadal Variation of Reservoir Area and Perimeter with Respect to Rainfall and Population
Abstract: Water is an essential element for the survival and proper functioning of all life forms on Earth. In the state of West Bengal like many other regions groundwater rivers and water canals serve as the primary sources of water. This vital resource is distributed across various sectors including agriculture households and industrial facilities following necessary treatment processes. West Bengal's climate is characterized by a tropical monsoon type in its southern …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 32–40 Read article
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Alzheimer’s Disease Detection Using ML Algorithm
Abstract: A degenerative neurological state of affairs, Alzheimer's disease (AD) gradually impairs cognitive and functional capacities, especially in people over 65. Early AD detection is crucial for efficient management and treatment prep. This study delves into novel approaches for the early detection of AD using non-invasive methods. We've implemented a blend of neuroimaging data analysis and machine learning algorithms to pinpoint markers indicative of the disease during its initial phases. Our …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 53–57 Read article
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Evaluation of Temporal Distribution of Recurrent Cholera Outbreak in Zambia.
Abstract: Background: Cholera cases in Zambia have been observed over a period without understanding the epidemiological cycles. The aim of the study was to evaluate the temporal distribution of recurrent cholera outbreak in Zambia from 1977 to 2019. Methods: Cholera case records of both sex and all ages were retrospectively analyzed. The primary source documents were reviewed including infectious diseases line list, notifiable diseases reports, Health Impact Assessment, District Health Impact …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 10–21 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Data Integration and Visualization in Bioinformatics: Techniques and Challenges
Abstract: Data integration and visualization play essential roles in bioinformatics, facilitating the thorough analysis, and interpretation of intricate biological datasets. In the field of bioinformatics, vast amounts of data are generated from various experimental platforms, such as genomic sequencing, proteomics, transcriptomics, and metabolomics. However, the heterogeneity of these datasets, coupled with their large scale and complexity, presents significant challenges in terms of integration, analysis, and visualization. Data integration techniques aim to …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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The Role of Artificial Intelligence in Automating Incident Response in Cloud-Based Cybersecurity
Abstract: As cloud computing continues to gain traction across industries, the complexity and scale of cloud environments present significant challenges to traditional cybersecurity practices. The dynamic and distributed nature of cloud infrastructures necessitates agile and effective incident response mechanisms to detect, analyze, and mitigate threats in real-time. However, conventional incident response methods often fall short due to the growing sophistication of cyber threats and the vast amounts of data generated in …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 15–24 Read article
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A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh
Abstract: Background: This study explores the complex interconnection between expanding human settlements and fluctuating plant life on the island of Saint Martin, Bangladesh, utilizing cutting-edge geospatial techniques through the open-source Google Earth Engine platform. The rapid population boom in Bangladesh and tourism-fueled development on Saint Martin Island stir serious worries about their ecological consequences. Methods: Remote sensing data sourced from Landsat 5 TM and Landsat 8 OLI/TIRS satellites between 1991 and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 21–29 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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The Intersection of Bioinformatics and Cellular Function in Disease Modeling
Abstract: The integration of bioinformatics and cellular biology has revolutionized our understanding of disease mechanisms, offering unprecedented opportunities to model complex biological systems. Bioinformatics is an interdisciplinary field that merges biology, computer science, and statistics, offering advanced tools to analyze vast biological datasets. Cellular functions, including gene expression, protein interactions, and metabolic pathways, form the foundation of physiological and pathological states. Disruptions in these processes can result in diseases like cancer, …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 1–7 Read article
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Synthesis and Study of Photoluminescence properties of Sm3+ activated 7TiO2 + 3Al2O3 + (60-x)B2 O3 +xY+ 5LiCO3 +25SrCO3 Borate Glass for SSL Applications
Abstract: Melt quenching was used to successfully create the raddish orange light-emitting Sm3+activated 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 (X=0.001, 0.002, 0.005, 0.01 and 0.02, Y=Sm3+) borate glass. XRD examination confirmed the phase of the prepared Un-doped and Doped 7TiO2 + 3Al2O3+ (60-x) B2O3+xY+ 5LiCO3+25SrCO3 glass. Its PL characteristics under ultraviolet (UV) light (302-468 nm) were later studied. At 602 nm, the excitation was detected, and at 402 nm, the emission. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 55–60 Read article
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Exploring Malaria Fever (Vishama Jwara) Through an Ayurvedic Lens: A Comprehensive Review
Abstract: Malaria fever, known as Vishama Jwara in Ayurveda, is a significant global health challenge caused by the Plasmodium species transmitted via Anopheles mosquitoes. While conventional medicine has advanced in diagnosing and treating malaria, exploring it through the Ayurvedic perspective offers valuable insights into its holistic understanding and management. Ayurveda describes Vishama Jwara as a fever with irregular patterns, aligning with the cyclical febrile episodes seen in malaria. This review delves …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 47–53 Read article
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Generative Artificial Intelligence with Emphasis on Large Language Models: Review and Current Trends
Abstract: Generative Artificial Intelligence deals with AI systems that generate new content, such as text, and images. It accomplishes this by using data patterns of texts and images that already exist. Generative AI began an era of major advancement in AI, producing more refined and human-like results. Large Language Models, LLMs, is a part of Generative AI with applications in Natural Language Processing such as text generation, translation, summarization, sentiment detection …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 40–46 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article