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31 articles for “APT”
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Research ArticleOpen accessIn the abstractCombating Climate Change One Bite at a Time: Environmental Sustainability of Veganism (with a Socio-Behavioral Comparison of Vegans and Omnivores)Jennifer M. Ghahari, Jennifer A. McAdamIn an era of escalating climate change, our research examines the environmental benefits of veganism and finds which factors could contribute to a societal shift towards veganism. Concentrated Animal Feeding Operations (CAFOs) release significant greenhouse gas emissions as well as expose people and animals to pathogens. Tropical rainforest destruction for grazing land, the vast amount of fresh/potable water needed for … …Journal of Social Sciences, Vol. 14, Issue 1 · 30 Mar 2018 · 9,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractTotal Static Balancing and Kinetostatics of the 3R Base Cinematic ChainRelly Victoria Petrescu, Raffaella Aversa, Antonio Apicella, Florian Ion Tiberiu PetrescuIt has been presented in other works and studied matrix spatially, or more simply in a plan, but in this case, it is necessary to move from the working plane to the real space, or vice versa, passage that we will present in this study. In the basic plan module already presented in other geometric and cinematic works, we want … …Journal of Mechatronics and Robotics, Vol. 2, Issue 1 · 18 Jan 2018 · 8,765 accessesView PDFCite
EditorialOpen accessIn the abstractGc Protein-Derived Macrophage Activating Factor (GcMAF) and Autism: Do Clinical Results Require a Novel Interpretation?Marco RuggieroIn this Editorial I reinterpret the results observed with the Gc protein-derived Macrophage Activating Factor (GcMAF) at the light of two recent papers published on this topic. According to the results and the hypothesis emerging from these papers, the biological and clinical effects thus far attributed to GcMAF are indeed to be ascribed to a glycosaminoglycan, chondroitin sulfate, that binds … …American Journal of Immunology, Vol. 12, Issue 4 · 14 Oct 2016 · 10,339 accessesView PDFCite
Research ArticleOpen accessIn the abstractQOS BASED SELECTION AND COMPOSITION OF WEB SERVICES-A FUZZY APPROACHN. Hema Priya, A. M. Shobana Priya, S. ChandramathiWeb Services are emerging technologies which satisfy users’ requests on the Web. Selecting appropriate services to suit the needs is a huge task. There are a huge number of service providers who offer same type of service, with differences in functional and non functional qualities. A few users may need multiple services at the same moment. So composition of services … …Journal of Computer Science, Vol. 10, Issue 5 · 18 Jan 2014 · 6,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparing and Choosing Appropriate Database for Storing Context in Context Aware SystemB. Vanathi, V. Rhymend UthariarajProblem statement: The databases introduce the digital era the fact that requirement to maintain large and ample data. The growth of information development and improvement that pursued it transformed the databases into a global reality. This study enquired and described the vital role of storing the context data to an appropriate database in the area of context aware computing. It … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegrated Monitoring of Endocrine-Disrupting Chemicals: Analytical Chemistry and Biological Assessment ApproachesChangjin Li, Jing Huo, Zijun Dou et al.Endocrine-Disrupting Chemicals (EDCs) in aquatic environments pose significant threats to ecosystems and human health. These compounds interfere with hormonal regulation at low concentrations and have non-monotonic dose-response relationships, posing challenges to conventional risk assessment. This review systematically compares current EDC monitoring methods, including instrumental chemical analysis and receptor-based biological detection systems, to evaluate sensitivity thresholds, sample throughput, and mechanistic selectivity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,081 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss FunctionAmudha Gopalakrishnan, Nalini JosephAdversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities in image processing, leading to misclassification or altered visual features that often go unnoticed. This raises serious concerns about the security and reliability of medical diagnosis, directly impacting clinical decision-making and patient safety. This research … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractScreening of Bioactive Constituents from the Aerial Parts of Dictamnus dasycarpus Turcz. With Antioxidant, Immunoenhancing, and Anticoagulant PotentialJiaqi Sun, Shiyu Ji et al.The cultivation of Dictamnus dasycarpus Turcz (DdT) is expensive and difficulty associated with growing, making its root bark the only commonly used medicinal part, while other parts are discarded. Therefore, in order to improve the limited utilization of resources, the new medicinal parts were screened from polysaccharide-rich aqueous extracts. The samples were the purified polysaccharides from the aerial part on … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 9 Oct 2025 · 2,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractTo Optimize the Brewing Process of Leaf Tea from Hippophae Rhamnoides Linn by the Antioxidant Activity and to Explore its Anticoagulant ActivityYunwen Zhu, Limei Ran, Hongli ZhouToimprove the edible value of Hippophae RhamnoidesLinn. Leaf (HRLL), investigates the optimal brewing conditions and changespeople's brewing habits, and makes better use of resources. The effects ofdifferent parameters (brewing times, brewing time, temperature, andsolid-liquid ratio) on the brewing process of HRLL tea were optimized byresponse surface methodology with antioxidant activity as an indicator.The optimal process was as follows: The brewing … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 14 Nov 2022 · 5,612 accessesView PDFCite