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Research ArticleOpen accessIn the abstractIn vivo Efficacy of Murraya paniculata Leaf in Controlling Natural Helminthiasis in GoatDuangjai Boonkusol, Janejira Detraksa, Kansuda Duangsrikaew, Wuttipong TongbaiThis study investigated the in vivo effect of Murraya paniculata leaf on gastrointestinal nematodes reduction, growth rates and haematological changes of goats. Four experimental groups (n = 6) of goats naturally acquired gastrointestinal nematodes were control (GI) (untreated), positive control (GII) (treated with albendazole, 6 mg/Kg BW) and GIII and GIV treated with 5 and 10 g/Kg BW of M. … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 1 May 2019 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Collaborative Prediction of Presence of Arrhythmia in Human Heart with Electrocardiogram Data using Machine Learning Algorithms with AnalyticsSelvaraj Rajalakshmi, Kuthadi Venu MadhavHuman heart is the major organ of human being which could fail the other systems in the body at the same time. Hence predicting heart disease is one of the challenging researches that requires meticulous analysis of heart rhythms properly. The irregular heart rhythms or beat is referred to as the Arrhythmia where heart rhythms with low or high rates … …Journal of Computer Science, Vol. 15, Issue 2 · 22 Feb 2019 · 7,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractAgronomic and Economic Parameter Estimates of Cocoyam as Influenced by Fertilizer and EnvironmentPrince Emmanuel Norman, Yvonne Sylvia Gloria Ethel Norman, Jenneh Fatima BebeleyThe effects of fertilizer and environment on agronomic traits and economic parameters in cocoyam were assessed at the Njala Agricultural Research Centre experimental site during the 2014/2015 and 2015/2016 cropping seasons. The fertilizer types used were 200 kg ha–1 NPK 15-15-15, 2000 kg ha–1 Rabbit Manure (RM), and no fertilizer (control). The trial was established in the open field and … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 24 Nov 2022 · 6,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Wheat Bran, EM Bacteria, Ammonium Nitrate and Fungal Additives on Fermentation and Forage Quality of Rice Straw SilageBin Yang, Jiahuan Liu, Dongmei Ma et al.The global ruminant industry is constrained by a persistent shortage of high-quality roughage, thus rendering the bioconversion of agricultural residues, such as rice straw, a critical priority. Nevertheless, the high lignification, silicification, and nitrogen deficiency of rice straw pose significant biological barriers to traditional ensiling. This study investigated the impact of various additives on rice straw silage quality. Six treatments … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 30 Sep 2026 · 642 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimisation of Plant Mineral Nutrition, Growth Stimulation and Yield Enhancement Through the Use of a Bio Formulation Based on Phosphate Solubilising BacteriaZhanar Zhumadilova, Laura Tokhetova, Gulsim Baimbetova et al.The aim of this study was to evaluate the agronomic and fodder efficiency of various fertilisation treatments in relation to their effects on plant growth, chemical composition, and soil properties. The study evaluated the effectiveness of a bio-formulation based on Phosphate-Solubilising Bacteria (PSB) in combination with mineral fertiliser (N60P90 + N30) in enhancing the productivity of forage crops and improving … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 23 Sep 2026 · 385 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 abstractOptimizing Boar Epididymal Sperm Preservation: Comparative Analysis of Slicing Float-Up vs. Flushing and BTS vs. Andromed® Extenders on Sperm Motility and Morphometry TraitsMamonene Angelinah Thema, Ntuthuko Raphael Mkhize, Gerhard van der Horst et al.Epididymal sperm collection represents a valuable strategy for preserving genetics from deceased or castrated boars of superior breeding value. The two primary collection methods-slicing float-up (high sperm yield) and flushing (low blood contamination risk)-differ in sperm recovery efficiency, while semen extenders provide cryoprotective nutrients that protect against cold shock during preservation. This study compared the effects of slicing float-up versus … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 14 Mar 2026 · 1,794 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractLatent Feature-Based Trust-Aware Model for Service Delegation in Social Internet of Things (SIoT)Rahul, Venkatesh, Satish B BasapurThe integration of social networking concepts into the Internet of Things (IoT) paradigm has given rise to Social IoT (SIoT) ecosystems, aiming to address challenges related to network navigation, service discovery, and service composition. A fundamental issue in SIoT is the careful selection of trustworthy devices that provide services. A service provider can offer multiple and diverse services, and different … …Journal of Computer Science, Vol. 21, Issue 12 · 9 Jan 2026 · 1,802 accessesView PDFCite