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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 abstractAnalysis Quantum Implementation of Double AES Cryptography for Secure QR Code GenerationJimmy Wijaya, RojaliData security faces unprecedented challenges due to the rapid advancement of quantum computing technologies, which threaten to compromise foundational classical cryptographic algorithms. This study investigates the quantum implementation of a Double Advanced Encryption Standard (Double AES) scheme for generating secure, tamper-resistant Quick Response (QR) codes. The research encompasses architectural design, quantum circuit construction, and empirical performance evaluation across encryption/decryption execution … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 571 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment AnalysisRafat Hammad, Mohammad Ashraf Ottom, Ayah Bani BakerUnderstanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research investigates applying machine learning to patient drug reviews across three main tasks: Identifying patient conditions, predicting drug ratings, and performing sentiment analysis. We implemented and evaluated Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 736 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Suggested Nonparametric Bivariate Logistic Density Estimator with Application on the Productivity of Egyptian Wheat during 2019/2020Samah M. Abo-El-HadidIn this study, the nonparametric standard logistic density estimator, introduced by Abo-El-Hadid (2018), is extended to the bivariate case. The multiplicative standard logistic distribution is used as a kernel function to derive the bivariate kernel estimator. The statistical properties of the resulting estimator are studied, which are: The asymptotic bias, variance, Mean Squared Error (MSE) and Integrated Mean Squared Error … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 27 May 2021 · 6,711 accessesView PDFCite
Research ArticleOpen accessIn the abstractInfluence of EVA, PVB and Ionoplast Interlayers on the Structural Behaviour and Fracture Pattern of Laminated GlassLiene Sable, David Kinsella, Marcin KozłowskiArchitectural trends increasingly challenge material producers and engineers to create sustainable, renewable and innovative laminated glass products that combine multiple functions as in, for example, glass railings with solar cells, curved laminated glass, floors with light emitting diodes that serve as multimedia screens. All new tendencies require the development of interlayers for laminated glass, which allows laminating electrical parts, solar … …International Journal of Structural Glass and Advanced Materials Research, Vol. 3, Issue 1 · 5 Jul 2019 · 8,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractCommunity Aware Recommendation System with Explicit and Implicit Link PredictionMuhammed E Abd Alkhalec Tharwat, Mohd Farhan Md Fudzee, Shahreen Kasim et al.Recommendation systems are essential tools that help users discover content they may be interested in, amidst the vast amount of information available online. However, current methods, such as using historical user-item interactions and collaborative filtering, have limitations in accurately predicting user preferences. Our research aims to address these challenges and improve the performance of recommendation systems. In this article, we … …Journal of Computer Science, Vol. 19, Issue 8 · 19 Jul 2023 · 5,858 accessesView PDFCite
Research ArticleOpen accessIn the abstractRelationship between Laboratory Germination and Biometric Parameters of Betula jarmolenkoana Golosk. AgletsZhandos Rakymbekov, Kurmankul Abayeva, Daniyar Dosmanbetov et al.This study evaluates the relationship between laboratory germination and biometric parameters of aglets of the critically endangered birch tree species Betula jarmolenkoana Golosk (Yarmolenko birch). The Yarmolenko birch is a very rare, narrowly endemic species, growing at an altitude of 1,900-2,100 m above sea level and only in the basins of three rivers (Kakpak, Bayynkol, and Tekes) in the Almaty … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 1 Mar 2023 · 4,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Efficient Thermal Conversion Technologies and HHV from Compositional Characteristics of Cassava Peelings, Plantain Peelings and Corn CobsSamomssa Inna, Oumarou Amadou Amadou, Jiokap Nono Yvette et al.The understanding of compositional characteristics permits to predict the efficient thermal conversion technologies and Higher Heating Value (HHV). Although HHV can be determined directly, many models have been proposed for HHV prediction. They are based on proximate, ultimate, and structural analysis and require much data collected. The present work assesses to predict efficient thermal conversion technologies and HHV of the … …Energy Research Journal, Vol. 13, Issue 1 · 27 Dec 2022 · 10,157 accessesView PDFCite