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67 articles for “Four-Stage”
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Research ArticleOpen accessIn the abstractThe Evolution of Today's Health Care EconomyEldo E. Frezza, Maurizio Chiriva-InternatiThe health care economy has fluctuated in the last 30 years. One of the contributing factors has been the reimbursement schemes used by hospitals and physicians, which has had a considerable impact on the behavior and performance of the health care market. Unlike health care markets in other countries, the U.S. has a multi-payer system. These third-party payers include the … …Journal of Social Sciences, Vol. 1, Issue 1 · 31 Mar 2005 · 6,655 accessesView PDFCite
EditorialOpen accessIn the abstractEditorial Commentary: Challenge of Non–AIDS-Defining Cancers (NADCs), Focusing on Trans Activation Response Element (TAR) RNA Embedding ExosomesLechuang Chen, Ge JinGlobally, 37.9 million people were living with HIV at the end of 2018 (Organization, 2018). Cancer is a major cause of mortality and morbidity in AIDS patients and chronically HIV-infected people. With the aid of combination Antiretroviral Therapy (ART), people living with HIV (PLWH) have a longer life span. However, because the virus is not completely eradicated, PLWH under antiretroviral … …American Journal of Immunology, Vol. 15, Issue 1 · 28 Nov 2019 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractExamination of Laminated Glass with Stiff Interlayers – Numerical and Experimental ResearchJulian Hänig, Paulina Bukieda, Michael Engelmann et al.Glass is a linear-elastic and isotropic building material which allows for a quick calculation of internal forces and stress in the design stage. However, in safety applications, e.g. overhead glazing or balustrades, it is made into laminated glass using plastic interlayers. Their material properties change over time and are temperature-dependent. Additionally, larger spans and the demand to reduce the amount … …International Journal of Structural Glass and Advanced Materials Research, Vol. 3, Issue 1 · 25 Jan 2019 · 13,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Prediction of Diabetic Nephropathy-Associated Comorbidities and Their Key Genes by Analyzing RNA-Seq DataChaity Paul, Md. Ashiq Uddin, Rupa Dey et al.Diabetic Nephropathy (DN) is a complex health condition that leads to various kidney diseases. According to the World Health Organization, over 2 million deaths have been reported due to diabetes and diabetes related kidney diseases in 2021. And at the recent 78th World Health Assembly, chronic kidney disease was reported to be one of the most common diabetes-related complications, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 19 May 2026 · 1,667 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Foliar Bio-Based Fertilization on Spring Wheat (Triticum Aestivum L.) in Reconciling Productivity and Alleviation of Environmental Concerns Under Semi-Arid ConditionsGani Stybayev, Raushan Ramazanova, Kelvin Harrison Diri et al.A two-year randomized field trial was conducted to evaluate the effects of foliar bio-based fertilization on the growth, productivity, grain quality, and soil health of spring wheat (Triticum aestivum L.) under semi-arid conditions in Northern Kazakhstan. Four treatments were compared: T0 (100 kg Ammophos, mineral fertilizer control), T1 (50 kg N14P23 + biotreatment), T2 (25 kg N14P23 + biotreatment), and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Selection for Kidney Ultrasound Image Classification Using Binary Coati Weighted Mean Vector AlgorithmFizhan Kausar, Ramamurthy B.The analysis of medical images presents many challenges, especially when making precise diagnoses. In pediatric Chronic Kidney Disease (CKD), early identification is critical because of its gradual progression to significant kidney failure. This study proposes a diagnostic framework for pediatric ultrasound image classification that incorporated machine learning and advanced feature selection methods. This approach is divided into four stages: Preprocessing, … …Journal of Computer Science, Vol. 21, Issue 12 · 22 Jan 2026 · 1,563 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Corn Yield and Soil Fertility in Light Chestnut Soils Using BioEcoGum: A Case Study from KazakhstanKuanysh Karabayev, Kanat Kulymbet, Ashirali Smanov, Gulbira AtashevaThis study evaluates the efficacy of the biological fertilizer BioEcoGum on corn yield and soil fertility under temperate climatic conditions at Karasai, Kazakhstan. The aim of this study was to assess the agronomic, soil, and economic effects of BioEcoGum application on corn (Zea mays L.) cultivated on light chestnut soils in southeastern Kazakhstan. A randomized block design was used, incorporating … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 9 Jan 2026 · 2,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning IntegrationAlaa Najmi, Mohamed El-DosukyEffective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor and might not fully cover all software requirements. In order to improve the automation and Caliber of software testing scenario development, this study investigates the combination of Natural Language Processing (NLP) and Deep … …Journal of Computer Science, Vol. 21, Issue 5 · 1 May 2025 · 97,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,268 accessesView PDFCite