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1967 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Vyanga, Present-Day Challenge: Insights from Toxicological Standpoint
Abstract: The condition of Vyanga can have significant repercussions, as facial disfigurement not only impacts an individual's psychological and social well- being but also hampers their overall contribution to society. This can result in reduced productivity, impaired social functioning, and diminished self-esteem. In classical Ayurvedic texts, Vyanga is categorized under Kshudrarogas, representing minor disorders with straightforward causes and symptoms. However, in certain instances, these conditions can lead to noticeable cosmetic impairments, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 11–16 Read article
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Infective Endocarditis, Result of Chronic Periodontal Disease: A Real and Present Danger
Abstract: Introduction: Endocarditis is an inflammation of the endocardium, the inner lining of the heart and heart valves. It is usually caused by bacteria and is associated with high mortality and morbidity. It can result from transient bacteremia from the oral cavity. Streptococci are the primary colonizers of tooth surface and are instrumental in development of the complex oral biofilm, dental plaque. Streptococcus sanguinis is one of the abundant oral commensals …
Published in Research and Reviews: A Journal of Dentistry Read article
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Shell Programming with Sensor Systems and Applications for Human Cognition
Abstract: Shell programming provides a flexible interface to sensor systems, enabling robust scripting for real-time data acquisition and processing, as well as integration with perception components. Such sensors have human analogs—tactile, physiological, and behavioral—and are increasingly embedded within health, mobile, and smart environments to capture fine-grained details of human cognition. Using shell scripts, the system can automatically collect sensor data, fuse multimodal data, and perform adaptive behavioral monitoring, allowing researchers and …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 41–45 Read article
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Catalytic Performance Improvement in Polymer Derived Nanostructures for Fuel Cell Applications
Abstract: The performance and operational lifetime of PEMFCs are closely linked to the catalytic activity and durability of cathode electrocatalysts. In this research, a polymer-derived cobalt–iron nitrogen-doped carbon (CoFe–N/C) nanostructured catalyst is developed to enhance the ORR performance for PEMFC applications. PAN and melamine serve as nitrogen-rich polymer precursors, while cobalt and iron salts generate highly dispersed metal–nitrogen active sites within a porous carbon matrix through thermal treatment at 900 °C. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 968–979 Read article
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Climate-Induced Infertility in Dairy Cows: Pathways, Challenges, and Solutions for Sustainable Dairy Development
Abstract: Climate change has emerged as a significant challenge to dairy production, with profound implications for reproductive performance in dairy cows. The interplay of rising temperatures, fluctuating rainfall patterns, and increased frequency of extreme weather events disrupts key physiological, nutritional, and behavioral processes essential for fertility. Heat stress alters hormonal balance, impairs oocyte and embryo quality, reduces estrus expression, and affects pregnancy outcomes. Concurrently, climate-induced nutritional deficits, immune suppression, and increased …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 Read article
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Artificial Intelligence in Smart Dairy Farming (SDF)
Abstract: Due to increasing demand for quality of milk in dairy farming also for the sustainability, productivity and maintenance of good health of animals. various challenges are faced by dairy farmers and can be addressed using Artificial Intelligence technologies ,By using AI here the individual health ,behavior ,feed management robotic milking and stress free milking system will be implemented .AI technologic implementation will frame the Smart dairy farming in properly and …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 16–20 Read article
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Interest Level Prediction in Rental Properties Using Data Science
Abstract: A key component of forecasting home prices and rental patterns is real estate market analysis. Data science, data mining methodologies, and statistical models are some of the strategies that have been created in recent years to solve this problem. A few problems are still required to be resolved, such as the obstacles caused by the availability and quality of the data; the presence of outliers, missing values, and inconsistent formats …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 28–34 Read article
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Implementing and Analyzing Network Commands in Cloud and Edge Computing Environments with Cisco Simulators
Abstract: The present review examines edge and cloud topologies and compares them according to latency. Instead of using distant data centers like cloud computing platforms, edge computing designs process data physically close to the source. Increased demand for Internet of Things (IoT) devices, which are growing more concerned with real-time data processing and analysis, has fueled the expansion of edge computing and cloud computing. In essence, each of these designs offers …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 62–69 Read article
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A study on Parametric and Non-Parametric Statistical Tools
Abstract: This research report provides a brief overview of the most recent research techniques. The field of the research process has seen a resurgence of attention due to recent advancements in academia. Professors, Ph.D. candidates, researchers, investigative officers, and university students comprise the demographic of this research article. The article will become an essential part of your research papers, projects, and reports for citations due to future obligations. This study is …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 10–31 Read article
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Inhibitory Potentials of Datura Metel to Prevent Mild Corrosion
Abstract: The resistance of mild steel to corrosion was evaluated by immersing it in well water and determining the weight it lost after being allowed to return to room temperature after the submersion. The effectiveness of mild steel's ability to withstand corrosion was evaluated using this approach. A reduction in total body mass has an influence that is connected to and helps play a role in the prevention of rusting from …
Published in Journal of Polymer & Composites Read article
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Deadlock Controlling Algorithms for Distributed Database Systems
Abstract: When the demand for a system resource exceeds the system's capacity, deadlock – an operating system problem – results. The problem of deadlock frequently causes a distributed database's performance to lag. This research critically examined two types of deadlock problems that have an impact on a distributed database's performance. Transaction control and transaction location deadlock difficulties were the specific challenges that the article specifically addressed. In this paper, deadlock prevention …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 10–17 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 8–19 Read article
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Retained Placenta in Dairy Cows: Causes, Consequences and Effective Strategies for Sustainable Dairy Development
Abstract: Retained placenta (RP) is a common reproductive disorder in dairy cows that poses a significant threat to reproductive efficiency, milk yield, and overall herd productivity. The condition, characterized by the failure to expel fetal membranes within 24 hours post-calving, results from a complex interplay of metabolic, endocrine, nutritional, and management-related factors. Key causative agents include dystocia, twin births, premature calving, mineral imbalances, oxidative stress, immune suppression, and hormonal disruptions, particularly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Initiation of Distress in Asphalt Concrete After Practicing Moisture Damage
Abstract: The moisture damage of asphalt concrete is considered as major type of distress in heavy rainfall environment. In this work, the decline in the initial flexural stiffness of asphalt concrete was monitored after practicing the moisture damage process. The variations were analyzed relative to the control mixture. Asphalt concrete mixtures were created in the laboratory with the optimal binder content. Extra mixtures were also prepared with ±0.5% variation of binder …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 7–13 Read article
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Bridging the Quality Gap: Analyzing NAAC Accreditation and IQAC’s Role in Higher Education Transformation
Abstract: The role of the National Assessment and Accreditation Council (NAAC) and Internal Quality Assurance Cells (IQAC) in ensuring quality standards in higher education institutions (HEIs) in India has been a subject of extensive research. This review synthesizes existing literature to assess the impact of NAAC accreditation on institutional quality enhancement, transparency, curriculum flexibility, and overall governance. A comparative approach highlights the role of IQAC in implementing continuous quality improvement mechanisms. …
Published in International Journal of Education Sciences · Vol. 2, Issue 2, 2025 · pp. 11–16 Read article
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Big Data in Chemistry: Problems and Answers
Abstract: The rapid growth of experimental and computational chemistry data, researchers now have access to vast datasets, presenting both significant opportunities and challenges. This paper explores the primary challenges associated with managing, processing, and utilizing big data in chemistry, including data heterogeneity, integration across various scales and systems, lack of standardized formats, and the need for advanced tools for data analysis. Additionally, the paper discusses the ethical concerns of data ownership, …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Searchable Encryption Based on Key Aggregation
Abstract: The ability to selectively distribute data with individuals in public cloud services may alleviate safety concerns about inadvertent privacy violations in cloud storage. The need for flexibility in sharing specific sets of documents with various user groups requires the use of distinct encryption keys for each document. This undertaking tackles practical difficulties by presenting the notion of Key-Aggregate Searchable Encryption (KASE). Natural language processing was used to extract essential phrases …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 21–25 Read article
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Comparative Study of Time Slice Windows Analysis and Impacted As-Planned Analysis for Data Center Construction Projects Using Primavera P6 24.12 Version
Abstract: Data centers are IT infrastructure that needs to be precisely scheduled and coordinated. Significant financial losses and operational failures may result from building delays. Stakeholders can assign blame and comprehend the reasons behind delays with the aid of forensic delay analysis. Because of their unique approaches and legal acceptability, TSWA, and IAPA are commonly used among the many strategies. These methods provide various ways to analyze project schedules and pinpoint …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 33–51 Read article