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735 articles for “data patterns”
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Patterns of Antihypertensive Drug Utilization in a West Indies University Teaching Hospital
Abstract: Objective of this study was to determine the prescribing patterns of antihypertensive medications in specialty outpatient clinics in a tertiary care hospital of a Caribbean developing country. A retrospective prescription-based survey was conducted in the renal and cardiac outpatient clinics during the period September to December 2006. Data recorded included demographic data, antihypertensive and other drugs prescribed, duration of prescription, adverse drug reactions and side effects. A total of 285 …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 5, Issue 1, 2014 · pp. 26–34 Read article
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Flood Analysis Using Integrated HEC-RAS and GIS: A Case Study of Nashik city, India
Abstract: The developmental activities in the urban areas are severely affecting the river flow pattern of the rivers; especially the rivers which pass through the urban habitation are causing heavy floods. The effect of encroachment in the city limits due to urbanization reduces the flow path of rivers causing flooding in adjacent areas. The available data indicates that causalities due to increased frequency of occurrence of flood have increased from 1000 …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 15–24 Read article
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Headway Compression during Queue Discharge at Signalized Intersections under Mixed Traffic Condition
Abstract: The evaluation of capacity at signalized intersection is an important component in the planning, design, operation and management of transportation system. Presently, the methodologies available for the estimation of capacity of signalized intersections are based on the concept of saturation flow(s). Saturation flow is the steady maximum queue discharge rate after the green onset. According to the U.S. Highway Capacity Manual, this steady maximum rate is generally achieved after the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 15–22 Read article
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A Study and Report on Due (Drug Utilization Evaluation) of Cardiovascular and Endocrine Disorders/Diseases in Inpatient Units of Hospitals
Abstract: In recent years drug utilization studies have become a potential tool to be used in the evaluation of health systems. On the process of drug utilization studies focus on factors related to prescribing, dispensing, administering, and taking of medication, and its associated events. Drug utilization data are available from databases- computerized or otherwise. From these databases different types of information, qualitative or quantitative or referring to a particular population are …
Published in Trends in Drug Delivery · Vol. 8, Issue 3, 2023 · pp. 11–32 Read article
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Information Access and Usage Trends among Students of Rajasthan Technical University, Kota
Abstract: The rapid growth of information and communication technologies has significantly influenced the ways in which university students locate, access, and use academic information. The present study examines the information access patterns of students enrolled at Rajasthan Technical University (RTU), Kota, with a focus on the use of electronic resources, print-based collections, and available digital library services. The study aimed to identify the primary information sources favored by students, evaluate the …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 27–38 Read article
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Performance Analysis and Detection of Stress using IoT Sensors
Abstract: The objective of this paper is to review recent researches on several stress prediction and detection techniques and also to provide better streamline on various stress management techniques. Worldwide, people experience mental stress concerns with different reasons including family issues, financial issues, social issues and environmental issues. The adjustable stress can develop a person; however, the strong response or continuous stress becomes critical. Hence, prediction, detection and management of physical …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 7–15 Read article
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Efficient Object Detection Based on Local Invariant Features
Abstract: Object detection is an important task in image processing and computer vision. Binary Robust Invariant Scalable Keypoint (BRISK) local features are extracted from the object. These features are invariant to image scale, translation, rotation, illumination and partial occlusion. Object detection process begins by matching individual features of the user queried object to a database of features with different objects which are saved in advance. Cite this Article:Anand Rathod, Manoj Bagale, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 1–3 Read article
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Status of virtual reality research in India during 2002-2021: A scientometrics approach
Abstract: The main aim of the present study is to evaluate and analyze the research publication of Virtual Reality technology during 2002-2021 as indexed in the SCOPUS database. The present study has retrieved the Scopus database for search keywords Virtual Reality, VR technology in all fields in the last two decades and refined by country India. The study used various scientometrics parameters such as chronological growth of publications, authorship pattern, growth …
Published in Journal of Advancements in Library Sciences · Vol. 10, Issue 2, 2023 · pp. 20–32 Read article
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Correlation between Enhanced Vegetation Indices and Rainfall Patterns of Kurnool District, Andhra Pradesh
Abstract: Vegetation indices enhance vegetation spectral signatures by combining bands of red (630–700 nm) and near-infrared wavelengths (700–1100 nm). This can be best suited to study vital activity of vegetation on land surface. Kurnool district is chosen to assess the capability of continuous spatial and temporal coverage; MODIS-derived enhanced vegetation indices (EVI) data were utilized to monitor the vegetation seasonal dynamics and their relationship with precipitation. Statistical analysis of mandal-wise mean …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 1, 2013 · pp. 7–12 Read article
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ORIGINAL RESEARCH PAPER ON PROSPECTIVE OBSERVATIONAL STUDY FOR RISK OFPOLYPHARMACY PRESCRIPTION PATTERNS AT TERTIARY CARE HOSPITAl
Abstract: Background: Polypharmacy, the concurrent use of multiple medications, has become a prevalent concern in healthcare systems worldwide. This prospective observational study aimed to assess the relative risk and incidence of polypharmacy while investigating its impact on patient outcomes and exploring strategies for minimizing its irrational use. Forms for complete case reports and informed permission were used in the data gathering procedure. The study had 68 individuals in all, including both …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 13, Issue 2, 2023 · pp. 34–45 Read article
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Spatiotemporal Modeling of Soil Erosion Under Agricultural Expansion in the Amravati Basin, India Using RUSLE–GIS
Abstract: Agricultural expansion and soil erosion are important environmental issues in areas where agriculture is a major source of livelihood. This study analyzes the spatial and temporal patterns of soil erosion in the Amravati Basin of Maharashtra and evaluates the impact of agricultural expansion using the Revised Universal Soil Loss Equation (RUSLE) integrated with Geographic Information System (GIS) techniques. Multi-source data, such as satellite imagery, rainfall records, soil characteristics, and topography …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 50–62 Read article
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CIPHER Intelligence: AI-Powered Global Military Expenditure Analysis and Predictive Modeling
Abstract: Military expenditure analysis has emerged as a critical component of economic and geopolitical intelligence in the modern era. This paper presents CIPHER Intelligence, a comprehensive AI-powered platform for analyzing and predicting global military spending patterns across 211 countries spanning54 years (1970-2024). We employ advanced machine learning techniques, particularly Random Forest regression models, to achieve 99.5% prediction accuracy for military expenditure forecasting based on economic indicators. The platform integrates data from …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 1–8 Read article
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On the Associations of Solar Wind Parameters with Geomagnetic H Components during Intense Geomagnetic Storms
Abstract: Associations of geomagnetic H component with solar wind speed and pressure were studied using high resolution (minute) data and applying the method of cross correlation analysis. We analyzed these associations during 74 geomagnetic storms with Dst ≤ -100 nT in solar cycle 23 in view to investigate if the associations vary with the pattern of semiannual variation of geomagnetic storms, it’s intensity and phase of the solar cycle. The results …
Published in Journal of Remote Sensing & GIS · Vol. 12, Issue 2, 2021 · pp. 1–9 Read article
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Exploring Glucagon-like peptide-1 as a Target Protein for Diabetes Mellitus Treatment: Molecular Docking and Pharmacokinetic Analysis of Phytocompounds from Momordica charantia
Abstract: Objective: This study aimed to use molecular docking techniques to explore the potential of GLP-1 (glucagon-like peptide-1) as a target protein for the treatment of diabetes mellitus, a chronic metabolic disease marked by elevated blood glucose levels. Given its crucial role in maintaining insulin secretion and glucose homeostasis, GLP-1 may serve as a future target for diabetes therapy. Method: The study employed a multi-phase method. Initially, protein extraction was carried …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 8–20 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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Gene Expression Profiling in Autism Spectrum Disorder: A Microarray Analysis Using Gse42133
Abstract: Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental disorder characterized by difficulties in social interaction, communication impairments, and restricted or repetitive patterns of behavior. Despite its increasing prevalence, the underlying molecular mechanisms remain poorly understood. Advances in transcriptomics offer opportunities to investigate the gene expression changes that may contribute to ASD pathophysiology. In this study, the microarray dataset GSE42133 was analyzed, which comprises gene expression profiles from peripheral blood samples …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 37–48 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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Pair of Retina Recognition System Using Hopfield Neural Network Algorithm
Abstract: process of pair of retina recognition system using feature fusion method has been proposed in this paper. Left and right retinal images of human have been used for the inputs of this retinal recognition system. Wavelet based retinal image pre-processing technique has been applied to process the retina images. After extracting the features from the left and right retinal images, features are concatenated using feature fusion technique. Principal Component Analysis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 41–45 Read article
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A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 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