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345 articles for “Quantification”
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Coordinating Supply and Demand of Water to Confront Water Security in Mysuru-Nanjangud LPA: A System Dynamics Approach
Abstract: Mysuru-Nanjangud Local Planning Area is one of the Tier-II City in the state of Karnataka. Next to Bangalore, it has a high significance in potential urban development. By the year passes, demographic transitions are increasing with respect to birth rate, death rate, periurban extension, immigration and emigrations within study area. The major challenges to local authority are to meet the requirement in terms of supplying clean and safe water to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 26–33 Read article
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Physicochemical Analysis of Kushtae Sadaf Prepared by Modern Furnace Method
Abstract: Traditionally in the Unani System of Medicine, Kushtajat are recommended to be prepared by using pit with cow dung cakes. This procedure of preparation is an old age method. Now in modern world, cow dung cakes are not easily available in the market, especially in the metro cities. Moreover this procedure is tedious. Therefore, it feels that modern procedure may be adopted in the preparation of Kushtajat. Hence instead of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 6, Issue 2, 2017 · pp. 30–36 Read article
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Impact of Indwelling Time of Peripheral Intravascular Catheter on the Incidence of Phlebitis
Abstract: Insertion of a peripheral intravenous catheter is the most common procedure performed in the hospitals. Infusion-related phlebitis is the most common catheter-related complications. The CDC guidelines (2011) recommended scheduled replacement of peripheral IV catheters every 72–96 h to prevent phlebitis. The current study was taken up to assess the impact of indwelling time of peripheral intravenous catheter on the development of phlebitis. A prospective study design was adopted and 168 …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 2, 2015 · pp. 12–16 Read article
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Experimental Studies and in silico Analysis on Quarum Sensing and System Simulation in Pseudomonas aeruginosa
Abstract: Pseudomonas aeruginosa is the most common pathogenic bacterium present in human microbial flora, biofilms, soil and water associated and support self microbial communications and survilance. The present study shows estimated protein concentration present in two days grown in Mullar hinton broth was resulted around 32.5 mg/ml. The studies in protein interaction on X-ray film with aqueous fruit and vegetable extracts showed good results with apple, straw berry, cucumber, grape, orrange, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 7, Issue 1, 2018 · pp. 1–8 Read article
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An Introduction to Proteome Bioinformatics
Abstract: For basic and translational research, high-throughput approaches are essential. Recent improvements in proteomics techniques, for example, have allowed biomedical researchers to characterise the proteome of a variety of creatures. Proteome bioinformatics approaches and technologies have greatly aided this extraordinary progress. The study and use of informatics in the realm of proteomics is known as proteome bioinformatics. This chapter presents an overview of the computational strategies, methodologies, and techniques for bioinformatics …
Published in Research and Reviews : Journal of Computational Biology · Vol. 10, Issue 3, 2021 · pp. 7–9 Read article
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An Overview of ELISA Biochemistry: A Brief Evaluation
Abstract: ELISA, known as the enzyme-linked immunosorbent assay, is widely recognized as the most reliable immunoassay method. This technique is highly sensitive and serves the purpose of identifying and measuring various substances such as hormones, antibodies, antigens, glycoproteins, allergens, and proteins. The process involves the formation of antibody–antigen complexes that generate a detectable response, enabling quantification. In response to encountering foreign substances called "antigens," the immune system of an individual produces …
Published in Research and Reviews : A Journal of Immunology · Vol. 13, Issue 1, 2023 · pp. 9–19 Read article
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Parameters of “Safety” in the Food Additive Industry: A Review of Risks and Benefits
Abstract: “Safety is in the eye of the beholder.” What is deemed “safe” by one observer may seem dangerous or risky to others. To approach this apparent quandary and assure ongoing scientific input, most food additives should be tested on laboratory animals and subsequently monitored if approved for human or animal consumption (i.e., parallel to the pathway for the approval of drugs). The term “safety” in the study of the toxicology …
Published in Research and Reviews: A Journal of Toxicology · Vol. 5, Issue 2, 2015 · pp. 7–13 Read article
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A Novel Technique for Stability Testing of Alliin and Sennosides in Unani Formulations
Abstract: Unani system of medicines is a science which deals with the preventive and promotive aspects of health of human beings and health problems that arise due to factors like ecological and/or environmental, which include humours categorized as blood, phlegm, yellow bile and black bile, and different biological fluids circulating in various vessels of the body. There is significant mandate in drug testing for a specific and precise analytical method for …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 1, Issue 1, 2014 · pp. 1–5 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Thermo-Mechanical Behavior and Intelligent Optimization of Contact Temperature During Ultrasonic Vibration-Assisted Single-Pole Magnetic Abrasive Finishing of Zinc Alloy
Abstract: This study proposes a new integration of the experimental analysis, multi-physics finite element modelling (FEM) and machine learning (ML) optimisation of contact temperature (CT) in ultrasonic vibration-assisted single pole magnetic abrasive finishing (UV-SPMAF) of zinc alloy. The three gaps of the research are addressed: (i) The absence of a multi-physics FEM model that can couple electromagnetic, thermal and structural fields for UV-SPMAF of zinc; (ii) No quantified contribution of the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 2, 2026 Read article
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Correlation Between Low Back Pain and Foot Posture Deviations in School Teachers of Navsari
Abstract: BACKGROUND Low back pain is the condition that significantly impacts daily life and professional activities, particularly in occupation requires prolonged standing or movements, such as teaching. The aim of the study is to find the correlation between low back pain and foot posture deviations in school teaches of Navsari. The Quebec Back Pain Disability Scale (QBPDS) is a 20-item self- administered instrument designed to assess the level of functional disability …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 2, 2026 Read article
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Observational Study on the Association Between Body Mass Index and Hypertension Among Adults of Jamia Nagar and Its Adjoining Areas
Abstract: Hypertension is becoming the talk of the town nowadays. It has been found that persons with high BMI are more prone to hypertension. Research studies have found that there is an increase in the number of cases in the developing nations as well, when compared with the developed world. BMI, which is also known as Basal mass index help in measuring the leanness of a person, which helps in quantifying …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 01–09 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Structure–Property-Guided Polymer–Metal Hybrid Design of a Wall Plastering Spray Assembly
Abstract: Wall plastering spray equipment requires a combination of low mass, dimensional stability, abrasion resistance, chemical compatibility with cementitious mortar, and comfortable operator interaction. The original assembly was primarily developed as a metallic mechanical system; however, a polymer-focused material architecture can reduce non-load-bearing mass while retaining a safe metallic pressure path. This study, therefore, presents a structure–property-guided polymer–metal hybrid design in which the pressure housing and nozzle insert remain metallic, whereas …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 197–211 Read article
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Machine Learning Approach to Detect and Analyze Attention-Deficit/Hyperactivity Disorder
Abstract: Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder characterized by difficulties with attention, impulse control, behavioral regulation, and daily functioning that persist across childhood and adulthood. Clinical diagnosis is predominantly based on behavioral assessments and expert interpretation, which may result in subjectivity and delayed clinical decisions. To reduce reliance on subjective evaluation, this study introduces an automated ADHD identification framework that integrates resting-state functional Magnetic Resonance Imaging (rs-fMRI) with advanced machine …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 2, 2026 · pp. 22–26 Read article
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Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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An Aggregate-Breakage Percolation Model and ANN-Based Internal Validation for Curvature-Dependent Electrical Conductivity of MWCNT/TPU Nanocomposites
Abstract: Strain-dependent percolation models are mostly built and tested for uniaxial tension, yet many flexible sensors and stretchable devices work mainly in bending, where the outer fibre is stretched, the inner fibre is compressed and the strain changes with thickness. This study extends an aggregate-breakage percolation model, originally formulated for uniaxial strain, to through-thickness bending of a multi-walled carbon nanotube/thermoplastic polyurethane (MWCNT/TPU) nanocomposite. The local strain is taken as ε(y) = …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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TRACE: Tracking the Loss of Memory Provenance in LLM Agents
Abstract: AI agents that carry memory across sessions gain better personalization and decision-making, but this persistence opens a serious security gap. When an agent repeatedly condenses earlier interactions into compact “lessons,” the trail linking each lesson back to the interaction that produced it gradually fades. We term this effect Reflective Attribution Collapse (RAC): the progressive loss of provenance and forensic traceability that results from repeated memory reflection. Under RAC, a malicious …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 2, 2026 · pp. 33–49 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article