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1980 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article
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A Strategy for Safer and More Resilient Industrial Construction
Abstract: This study investigates the effects of incorporating steel and polypropylene fibers into high-performance concrete (HPC) to enhance its mechanical behavior and ensure greater safety in industrial structures. The research focuses on HPC mixtures of M30, M35, and M40 grades reinforced with a combination of steel fibers (SF) and polypropylene fibers (PPF). Steel fibers contribute to improved compressive and tensile strengths, while polypropylene fibers help control crack formation and dissipate energy …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
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Post Covid-Sequela: Novel-Inception of DM: A Review
Abstract: As patients recovers from COVID 19 pandemic, a subset of the covid patients experienced a post covid condition with long term symptoms, few weeks after their discharge or recovery from the (SARS-CoV-2) infection. Hence, we tried to prove the hypothesis whether diabetes mellites is an afresh possible sequala of covid infection by systematically evaluating the consistently changing glucose level of the post covid patients. The databases PubMed and Google Scholar …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 Read article
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The Impact of Artificial Intelligence on the Sales and Marketing of Pharmaceutical Products
Abstract: The rapid development of computing and technology has permeated all branches of science, with artificial intelligence (AI) emerging as a pivotal field in computer science. AI has significantly influenced disciplines ranging from basic engineering to pharmaceuticals. In healthcare and medicinal chemistry, AI applications have become indispensable. Traditional drug discovery approaches are gradually being overtaken by computer-aided drug design. In recent years, artificial intelligence (AI) and machine learning (ML) have become …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 1, 2025 · pp. 10–18 Read article
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Musculoskeletal disorder and psychosocial work demands in Insurance industry: A case study
Abstract: ABSTRACTIntroduction- Insurance sector is a group of professionals who perform under time pressure. The use of computer increases in the insurance industry which is linked with musculoskeletal pain. The objective of the study is to analyze the prevalence of MS pain during past 12 months and to correlate it with these work related factors. Methods- Insurance office workers from various companies in Punjab responded to the questionnaire which is related …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 3, 2017 · pp. 37–42 Read article
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PROJECT PLANNING AND CONSTRUCTION USING ROBOTICS AND AUGMENTED REALITY
Abstract: The construction industry is based on human resources, specifically for on-site construction processes. The conventional construction practices require an absolute amount of workforce and skilled labour to achieve the aimed efficiency in terms of construction duration and cost, and building quality. Besides, lack of workforce and sufficiently skilled labour can affect the overall duration, cost, and quality targets. Therefore, based on these issues, advanced robotic technologies have been developed to …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 1, 2023 · pp. 1–6 Read article
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Air Pollution Indicating System using IOT
Abstract: AbstractAir pollution is one of the major environment issues. It is the process of releasing any toxic particles into the air that lowers its quality. This paper enabled on IOT along with cloud to make services real time and faster. We made our own DIY Arduino, because buying an arduino is little bit expensive. The Air Quality Index for the observed pollutants is determined by Thing speak. It will display …
Published in Journal of Semiconductor Devices and Circuits · Vol. 7, Issue 2, 2020 · pp. 9–12 Read article
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Assessment of Different Quality Control Parameters of Marketed Brands of Habbe Kabid Naushadari: A Classical Unani Formulation
Abstract: AbstractHabbe Kabid Naushadari is one of the most famous classical Unani formulation that is commonly practiced by Unani physicians in day-to-day practice as a stomachic and liver tonic. In the present study, two different brands of Habbe Kabid Naushadari available in the market, were evaluated and compared with the standard monograph mentioned by CCRUM. Various physicochemical parameters such as pH, alcohol-soluble extractive, water-soluble extractive, total ash, acid-insoluble ash, water-soluble ash …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 3, 2013 · pp. 26–31 Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Real-Time Ocean Monitoring and Early Warning Systems with IoT Technology
Abstract: The increasing frequency of extreme weather events, rising sea levels, and threats to marine biodiversity This paper explores the application of IoT in enhancing real-time ocean monitoring and early warning systems, focusing on the deployment of smart sensors, connected buoys, and data analytics to collect key parameters such as temperature, salinity, pH, and wave activity. To preserve and responsibly utilise the seas, oceans, and marine resources in support of sustainable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 13–24 Read article
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Development And Quality Evaluation of Energy Ball Sing Oats and Pumpkin Seed
Abstract: Energy balls are a nutritious snack option, ideal for breakfast or mid-day consumption, composed of dry fruits, seeds, and dietary fiber. They serve as a source of slowly digesting carbohydrates, micro- and macronutrients, with energy primarily derived from carbohydrates like jaggery powder and dry dates powder containing fructose, glucose, and dextrose. The primary ingredients, pumpkin seeds, and oats are packed with health benefits. Pumpkin seeds provide dietary fiber, plant-based omega-3 …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 16–29 Read article
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From Mourning to Manipulation: Navigating the Psychological Terrain of AI Grief Therapy
Abstract: This literature review explores the psychological and ethical dimensions of virtual conversations with AI-based digital representations of deceased individuals. Specifically, it examines the therapeutic affordances of these interactions, as well as potential maladaptive coping mechanisms, including prolonged mourning, emotional exploitation, and memory distortion. Based on a review of 13 academic studies from 2021 to 2024, this paper critically analyzes ethical dilemmas related to informed consent, data commodification, and the autonomy …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 1, 2025 · pp. 34–41 Read article
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Evolving Perspectives: Innovations in Object Detection and Identification
Abstract: One of the most important developments in computer vision has been the creation of object detection and identification systems, which have allowed robots to perceive and understand visual data similarly to humans. These systems locate each object by drawing a bounding box around it, in addition to detecting and classifying every object in an image or video. This study suggests a novel method for item identification and detection that makes …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 23–27 Read article
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Wall Street Prognosis
Abstract: We all know that the stock market is volatile. There is so much turmoil and turbulence in the stock market that it is difficult to predict what will happen. The main purpose of the thematic debate is to predict the future stability of the market with probability coefficients. Investors are familiar with the adage “buy low, sell high” but it doesn't provide enough context to make sound investment decisions. Before …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 9–15 Read article
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Sensors based Human Visual System: e-Retina
Abstract: This study explores the potential of bio-inspired sensor design to replicate the adaptive and highly efficient nature of the human visual system and e-retina. This study presents a novel sensor array incorporating foveated vision principles and dynamic range adaptation mechanisms. Our study demonstrates the improved performance of this system in complex visual scenes, particularly in low illumination and high-contrast scenarios. This study highlights the advantages of mimicking biological principles in …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 14–22 Read article
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Predictive Modeling of Polymer Composites for Medical Implants Using Artificial Intelligence Techniques
Abstract: The use of polymers in biomaterials was now key to designing the next generation of medical implants, which need to be strong and also compatible with living tissue. Tests for biocompatibility, such as those done in the laboratory and by doing experiments on animals, require much time and many resources, so the need for computer-based approaches becomes clear. An artificial intelligence approach was provided in this study to determine how …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 665–692 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Flooding of Urban Drainage Systems: Risk Analysis Study
Abstract: Floods are considered as to be among the most severe natural disasters because of their unpredictability, their overwhelming power and the difficulty to assess the related risks. Consequently, flooding damage is inevitable. This paper focuses on the identification of potential flood hazards in urban drainage systems. The flooding causes and modes are analyzed by two main methods: fault tree and event tree. The frequencies of natural events and operational obstacles …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 1–5 Read article
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Prediction of Customer Churn Using Machine Learning Classification Models
Abstract: Customer churn prediction is a critical task in both the telecommunication and medical industries, where retaining customers or patients is essential for ensuring long-term profitability and maintaining high-quality service. To address this, a range of machine learning models—including logistic regression, decision trees, random forests, gradient boosting machines, and support vector machines—were employed to accurately forecast churn behavior. Prior to model training, the dataset underwent thorough preprocessing, which included handling missing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 86–92 Read article
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Synthesis, Characterization and Dielectric Properties of Polymer Materials for Microwave Communication Applications
Abstract: The rapid advancement in wireless communication technologies has necessitated the development of advanced materials with tailored dielectric properties. Polymer materials, because of their flexibility, lightweight nature, and processing ease, are currently being used in initiatives to formulate low-dielectric materials specifically tailored for microwave communication applications. In the current investigation, the authors concentrate on the synthesis, characterization, and dielectric properties of five distinct novel polymer materials. The synthesized polymers are characterized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1482–1495 Read article