342 results for “multiple high”

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Research ArticleOpen accessIn the abstractStress Resistance Physiological Traits in Maize Under High-Concentration Salt StressMingxia WangTo quantitatively analyze the stress-resistant physiological characteristics of maize under high-concentration salt stress, a combination of statistical analysis and quantitative recursive analysis is selected to conduct salt stress experiments on maize seedlings. 20 treatments are set up, with each treatment consisting of 5 pots and 3 plants per pot. The experiment is conducted without the involvement of any animals. Physiological … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 26 Apr 2024 · 4,868 accessesView PDF Cite

Research ArticleOpen accessIn the abstractUnderstanding Artificial Intelligence Adoption in Vietnam: An Organizational-Level AnalysisDuong Quang Khanh, Nguyen Thi Van Anh et al.This study examines the level, determinants, and perceived outcomes of Artificial Intelligence (AI) adoption in Vietnamese organizations using survey data from 142 employees and managers across multiple sectors. Descriptive statistics, t-tests, ANOVA, and multiple regression were applied to analyze sectoral differences, the role of training, and predictors of AI-enabled work performance. The results show a moderate-to-high level of AI adoption, … …Journal of Computer Science, Vol. 22, Issue 5 · 23 May 2026 · 1,542 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA GPU-Based Genetic Algorithm for the Multiple Allocation P-Hub Median ProblemAchraf Berrajaa, Ayyoub El Outmani, Abdelhamid BenainiAs the sizes of realistic hub location problems increase as time goes on (reaching thousands of nodes currently) this makes such problems difficult to solve in a reasonable time using conventional computers. This study aims to show that such problems may be solved in a short computing time and with high-quality solutions using the computational power of the GPU (actually … …Journal of Computer Science, Vol. 19, Issue 5 · 28 Apr 2023 · 6,267 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEffect of Leucaena leucocephala Protein Supplement on Nutrient Intake, Milk Yield and Quality, Hematology, Metabolites and Economy Efficiency in Etawah Crossbreed GoatsIdat Galih Permana, Salwa Iffat Zahidah Arif, Fajar Rezki Pambudi et al.Legumes, such as Leucaena leucocephala (LL), have high protein and Rumen degradable Protein (RUP) content, so adding legumes to the diet of dairy goats can meet the protein requirements for milk synthesis. However, the addition of LL alone is insufficient to meet the RUP requirement of dairy goats, thus requiring other protein sources. LL Protein Supplement (LLPS) is a feed … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 23 Aug 2025 · 5,345 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDF Cite

Review ArticleOpen accessIn the abstractThe Impact of Di-2-Ethylhexyl Phthalate (DEHP) in Focus on the Reproductive System and Toxicity in Rat or Mammalian ModelVenkataramanaiah Poli, Srinivasulu Reddy MotireddyAbsalan, F., Saremy, S., Mansouri, E., Moghadam, M. T., Moghadam, A. R. E., & Razie, G. (2016). Effects of Mono-(2-Ethylhexyl) Phthalate and Di-(2-Ethylhexyl) Phthalate Administrations on Oocyte Meiotic Maturation, Apoptosis and Gene Quantification in Mouse Model. Cell Journal, 18(4), 503–513. https://doi.org/10.22074/cellj.2016.4717 Acevedo‐Rodriguez, A., Kauffman, A. S., Cherrington, B. D., Borges, C. S., Roepke, T. A., & Laconi, M. (2018). Emerging … …American Journal of Pharmacology and Toxicology, Vol. 19, Issue 1 · 6 Jun 2024 · 12,990 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSynergistic Effects of Wheat Bran and Inoculants on Fermentation and Nutritional Quality of Soybean Straw SilageLie Yang, Rundong Qin, Jiahuan Liu et al.The efficient valorisation of lignocellulosic biomass from soybean straw into high-quality silage remains a pressing challenge for sustainable livestock production. This study employed a 3×3 factorial design to systematically investigate the interactive effects between wheat bran additions (0%, 10%, 20% of fresh weight) and microbial inoculant regimes (control, Effective Microorganisms, EM+Trichoderma longibrachiatum) on soybean straw silage quality. Two-way ANOVA revealed … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 1 Jul 2026 · 1,109 accessesView PDF Cite

Research ArticleOpen accessIn the abstractHydrophysical Properties of Soils as Indicators of the Hydrological Role of Rudny Altai ForestsAndrey Kalachev, Tamara Burenina, Stanislav Rogovsky et al.The hydrophysical properties of soils and parent rock are key factors shaping forest hydrological functioning, as they influence multiple runoff components. This study assessed the effects of forest stand composition on soil moisture and water permeability between 2021 and 2023 in the middle mountain-taiga zone of the Rudny Altai, within the Zhuravlikha River basin, a tributary of the Irtysh River. … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 24 Mar 2026 · 1,316 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDF Cite