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702 articles for “Model Experiment”
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Research ArticleOpen accessEvery word in the titleGreen Tea Treatment Attenuates Oxidative Damage and Neuromotor Deficit Induced by an Experimental Model of Intracerebral Hemorrhage in RatsMauren Assis Souza, Caroline Dalla Colletta Altermann, Alexandre dos Santos Martins et al.The present study shows the neuroprotective effect of green tea supplementation (GT; Camellia sinensis) in a model of Intracerebral Hemorrhage (ICH) in rats. ICH was induced by intra-striatum collagenase infusion in male Wistar rats. GT (400 mg Kg-1) was administered via gavage for 10 days after ICH. We assessed the effect of GT on neuromotor recovery and oxidative damage. Our … …Neuroscience International, Vol. 7, Issue 2 · 19 Mar 2017 · 8,598 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHepatotoxicity Due to Histamine Trifluoro-Methyl Toluidide, Amthamine, R-(-)-α-Methyl Histamine and Clobenpropit (H1R-H4R-Agonists, Respectively) in Rabbit Experimental ModelTrivendra Tripathi, Aijaz Ahmed Khan, Mohammad Shahid et al.Problem statement: Since in vivo studies looking for toxicological impact of histamine receptors-agonists in experimental models are fragmentary, the present study was designed to delineate the histopathological and biochemical changes in livers of rabbits treated with histamine receptors (H1R-H4R)-agonists. Approach: The cohort comprised of six groups (Group I control and Group II-VI treated) containing five rabbits each. Control-group received vehicle … …Current Research in Medicine, Vol. 1, Issue 1 · 30 Jun 2010 · 8,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDYNAMIC ENERGY MODELING OF AN EXPERIMENTAL BUILDING EQUIPPED WITH AN UNDERFLOOR AIR DISTRIBUTION (UFAD) SYSTEMYao Yu, Ahmed Cherif MegriIn this study, experimental and simulation studies were performed in a building equipped with an UFAD system in order to investigate the applicability of a new approach designed for prediction of the energy consumption of a residential building with an UFAD system. In this approach, a zonal model, Pressurized zOnal Model with the Air diffuser (POMA), was coupled with a … …American Journal of Engineering and Applied Sciences, Vol. 7, Issue 1 · 14 Mar 2014 · 8,136 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRisk Factors to Alcohol Law Violations in the Community: Quasi-Experimental StudyWuttiphong Phakdeekul, Pramote Thongkrajai, Peem Eiamprapai, Manop KanatoProblem statement: Alcohol-related health problems such as chronic and acute diseases, accidents/injuries and social problems are well recognized. Although many countries including Thailand enact laws to control alcohol problems, missing data in Thailand cannot reveal efficacy of law enforcement and compliance with the public. The aim of this study was to investigate the proportion of Thai people violating alcohol laws … …American Journal of Applied Sciences, Vol. 8, Issue 12 · 22 Oct 2011 · 7,236 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimization of Raw Materials for Preparation of Transparent Soil Based on Analytic Hierarchy ProcessJianjun Liu, Yao Wang, Rui Song, Min YeThe application of man-made transparent soil has greatly contributed to the development of the visual research in physical model test. Comparing to the traditional model test, the transparent soil has advantages with respect to transparency, visualization, lower cost and utility et al. However, the transparency of material itself seriously restricted the effect of the results during the model text. This … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 1 Mar 2017 · 7,266 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffectual Deep Learning Based Digital Image Forgery Detection Model Using Ameliorate CNN, VGG 16 and VGG 19 for Copy Move and Image Splicing Classification With Enhanced PerformancePreeti Dhiman, Usha ChauhanIn this research, a pioneer passive approach for detecting and localizing tampering in images is proposed. In the past, image forgeries have created a huge impact in the world. Developments of various image processing technologies made it easier to tamper images with the objective to cover up or hide a significant feature in an image. In some situation, such as … …Journal of Computer Science, Vol. 22, Issue 10 · 3 Oct 2026 · 568 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite