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132 results for “Exploration”
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Research ArticleOpen accessIn the abstractBiomolecular Identification of Bacteria Endophytic From Betel Leaf in Jambi City Forest Park Area as Antibiotic-Producing PotentialArzita, Miranti Sari Fitriani, Nyimas Myrna Elsa Fathia et al.Background and Objective: Muhammad Sabki City Forest Park in Jambi City has three types of betel plants that contain endophytic bacteria. In 2021, six isolates of endophytic bacteria with the potential for producing antibiotics (halo zone above 10 mm) have been isolated, which can kill Gram-negative (Escherichia coli) and Gram-positive (Staphylococcus aureus) test bacteria. that are 5 (five) isolates derived … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Ultra-High-Pressure Treatment on the Chemical Composition and Aroma of Flue-Cured Tobacco Leaves for Heated Tobacco ProductsXinbo Lu, Jie Yin, Ying Yuan et al.The influences of different Ultra-High-Pressure (UHP) treatments on the chemical composition and the low-temperature pyrolysis products of Flue Cured Tobacco Leaves (FCTL) that applied in heated tobacco products were investigated in this study. Results indicated that UHP treatment reduced total alkaloids content significantly (p<0.05), especially 500-600 MPa treatment group (2.34±0.00%, 2.34±0.01%). Increase in sugars and potassium content were observed after … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 19 Oct 2025 · 2,150 accessesView PDFCite
Review ArticleOpen accessIn the abstractDDoS Mitigation Using Machine Learning in Software-Defined NetworksAhmed Gaber Abu Abd-Allah, Noureldin Omar Mohamed, Mohamed Samir Mohamed et al.With the escalating frequency and sophistication of Distributed Denial of Service (DDoS) attacks, the realm of cyber security has witnessed a paradigm shift towards innovative solutions. This review explores the potential of machine learning as a powerful defense mechanism in the field of DDoS mitigation within Software-Defined Networks (SDNs). The study methodically examines a variety of machine learning algorithms used … …Journal of Computer Science, Vol. 21, Issue 4 · 23 Mar 2025 · 6,774 accessesView PDFCite
Literature ReviewOpen accessIn the abstractUnraveling Sterile Inflammation in Atherosclerosis: Mechanisms, Implications and Therapeutic StrategiesAnastasia Vladimirovna Poznyak, Vasily Nikolaevich Sukhorukov, Anton Yuvenalievich Postnov et al.Atherosclerosis, a leading factor in the development of cardiovascular diseases, is a complex and multifaceted condition with inflammation emerging as a pivotal determinant of its pathogenesis. This review comprehensively investigates the role of sterile inflammation in atherosclerosis and deliberates on potential therapeutic interventions targeting this underlying mechanism. Despite advancements in the understanding of atherosclerosis, diagnosing, preventing, and choosing effective treatment … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 4 Mar 2025 · 3,965 accessesView PDFCite
Research ArticleOpen accessIn the abstractHuman-Centric Design Integration in UAV Interfaces and Operational Procedures for Enhanced User ExperienceArun Chakravarthy R., Arun M., Sureshkumar C. et al.Unmanned Aerial Vehicles (UAVs) have become essential tools across numerous sectors, including agriculture, disaster response, search and rescue and logistics. While UAV capabilities have rapidly evolved due to technological advancements, the integration of human-centric design principles remains a key area for further improvement. This article provides an in-depth exploration of how user-focused design considerations can enhance UAV interfaces and operational … …Journal of Computer Science, Vol. 21, Issue 4 · 3 Mar 2025 · 5,237 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review on Internet of Things (IoT) and its Implications in the Mining IndustryFatemeh Molaei, Elham Rahimi, Hossein Siavoshi et al.The integration of computer-based technologies interacting with industrial machines or home appliances through an interconnected network, for teleoperation, workflow control, switching to autonomous mode, or collecting data automatically using a variety of sensors, is known as Internet of Things (IoT). When applied inside an industrial context, it is possible to immediately benefit from the analytics obtained, contributing to process optimization, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 3 Sep 2020 · 14,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Approach in Application of the AHP–Fuzzy TOPSIS Method in Mineral Potential Mapping of the Natural Bitumen (Gilsonite): A Case Study from the Gilan-e-Gharb Block, the Kermanshah, West of IranElham Rahimi, Younes Shekarian, Salman Mastri Farahani et al.The Gilan-e-Gharb block is known as a prospective area for hydrocarbon resources in the form of oil, gas in deep potential and natural bitumen (Gilsonite) on the surface. Natural bitumen is not clearly detectable by geochemical or geophysical methods. Hereupon, identifying high potential areas for further exploration, attempted with the help of AHP-Fuzzy and TOPSIS methods. The comprehensive database of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 2 Mar 2020 · 7,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainability Through Connectivity: IoT Influence on AgricultureManmohan Singh, Shaheen Ayyub, Dharmendra Sharma et al.Today’s smart farming has ushered in a new era of agriculture, one where information and communication technologies seamlessly integrate with the latest equipment in machinery and sensors based in high-tech farming systems. This transformative shift is driven by the latest technologies notably the IoT and cloud computing which are poised to revolutionize farming practices by introducing robots using artificial intelligence … …Journal of Computer Science, Vol. 21, Issue 1 · 10 Dec 2024 · 5,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultiple Linear Regression to Predict Electrical Energy Consumption Based on Meteorological Data: Application to Some Sites Supplied by the CEB in TogoApaloo Bara Komla Kpomonè et al.The prediction model developed in this article is based on the use of meteorological variables to estimate the consumption of electrical energy at the substations of the Electric Community of Benin. The objective is to predict this consumption in order to adapt production to it. The posts (Lomé Aflao, Légbasito, and Lomé port) are the targets that were used in … …American Journal of Applied Sciences, Vol. 21, Issue 1 · 10 Jun 2024 · 5,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractIAFIR Optimization against NOMA Competitors: A Comprehensive Analysis on Energy-Efficient Non-Orthogonal Multiple AccessS. Pavithra, S. ChitraThe ever-growing demands of next-generation wireless networks necessitate the exploration of innovative technologies to enhance spectral efficiency, user experience and network performance. Non-Orthogonal Multiple Access (NOMA) has emerged as a promising candidate, offering the potential for increased capacity and improved system reliability. NOMA allows multiple users to share the same time-frequency resource, breaking away from traditional orthogonal access methods. In … …Journal of Computer Science, Vol. 20, Issue 8 · 31 May 2024 · 5,053 accessesView PDFCite