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138 results for “Optimal Parameters”

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Research ArticleOpen accessIn the abstractCuticular Chitin of the Wild Silkworm Saturnia Pyri: A Renewable Source for Applications Across Industrial SectorsZarintaj Shukurova, Yusif Shukurlu, Zarbali Khalilov, Madina SharifovaIn the context of a developing sustainable bioeconomy, the search for renewable sources of biopolymers as alternatives to traditional ones is of crucial importance. In this regard, insect cuticular waste represents a promising yet insufficiently explored raw material for obtaining chitin and chitosan. This study aimed to perform a comparative assessment of the extraction efficiency and quality of chitin and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 7 Aug 2026 · 947 accessesView PDFCite
Research ArticleOpen accessIn the abstractManipulating Light Duration and Intensity Using LEDs to Enhance Off-Season Yield of Hylocereus polyrhizus in a Tropical Area of Banyuwangi, East Java, IndonesiaKanthi Pangestuning Prapti, Setyono Yudo Tyasmoro et al.This study aimed to examine the effect of light duration and Light Emitting Diode (LED) power on the production of red dragon fruit during the off-season. The experiment was conducted in Bulurejo, Banyuwangi, East Java, Indonesia, from March to June 2024 using a split-plot design. The main plot consisted of LED illumination duration (2, 4, and 6 hours), while the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 3 Aug 2026 · 962 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative SCAPS-1D Study of Lead-Free CsSnCl₃-Based Perovskite SCs Employing Different ETLsRony Tota, Shak Mahmudul Hasan, Md. Morsalin et al.Cesium tin chloride (CsSnCl3) has drawn considerable interest as a non-toxic absorber candidate for next-generation photovoltaic devices, offering an attractive combination of affordability, thermal robustness, and competitive conversion performance suitable for clean-energy deployment. In the present work, the photovoltaic behaviour of CsSnCl₃-based SCs was numerically examined using the SCAPS-1D software. Three distinct device stacks were constructed by varying the ETL, … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 22 May 2026 · 1,737 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Review on the Extraction of Antibacterial Bioactive Compounds from Tanzanian Medicinal Plants Using CO₂-Expanded Liquid TechniqueWajihu Ahmada, Emrod Elisante, Neema Msuya et al.The threat of antimicrobial resistance has resulted in the need to search for alternative cures from medicinal plants. This review examines the relevance and suitability of using the carbon dioxide expanded liquid extraction (CXLE) method in extracting bioactive compounds from selected medicinal plants in Tanzania. The study focuses on their potential as antimicrobial agents against common pathogenic bacteria. It highlights … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 22 Apr 2026 · 2,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 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 abstractOptimized WFST-Based ASR for Arabic: Balancing Memory, Speed, and AccuracyWael A. Sultan, Mourad S. Semary, Sherif M. AbdouWeighted Finite-State Transducers (WFSTs) have revolutionized Automatic Speech Recognition (ASR) by enabling significantly faster decoding speeds compared to traditional systems that build the search space progressively. However, applying WFSTs to morphology-rich languages such as Arabic presents challenges due to the large vocabulary, resulting in extensive networks that exceed the memory capacity of standard CPUs. This study introduces various strategies to … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,442 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Fertilization Frequency and Amount on the Chemometric Characteristics, Physiology, and Yield of Tomato Under Substrate CultivationEnling Ji, Qianqian Di, Qingjie Du et al.This study examined the effects of fertilization frequency and quantity on growth, yield, and quality of tomatoes under substrate cultivation. A factorial experiment evaluated two fertilization frequencies (every 5 or 10 days) and three fertilization levels (15.69, 31.38, or 62.76 kg·ha⁻¹), along with an unfertilized control. Plants were assessed for growth and development, photosynthetic pigment content, gas exchange parameters, nutrient … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,715 accessesView PDFCite