Chemical Profiling Ethyl Acetate Extract of <i>Basilicum polystachyon</i> Leaves and Exploration of Anticancer SIRT1 Inhibitors Using <i>In Silico</i> Approach by Tukiran Tukiran, Muhammad Raihan

“…Molecular docking simulation revealed that ten compounds could inhibit SIRT1 better than the control inhibitor, indicating that these compounds have potential as anticancer agents. The prediction of these compounds' physicochemical properties and pharmacokinetics showed promising results and fulfilled the medicinal compound's criteria. …”
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Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication by Guizhou Cao, Dawei Xia, Bokang Liu, Kai Meng, Zhenlong Wu, Yuan-Cheng Sun

“…Based on the GU model of voltage and current at the point of common coupling, a demand-driven network communication protocol is proposed to decrease the number of scheduling signal transmissions, and an observer-based prediction method is provided to replenish the lack of dispatching data during transmission intervals when the demand has not changed. …”
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A Parameter Classification System for Nonrevenue Water Management in Water Distribution Networks by Dongwoo Jang

“…In this study, more factors can be used depending on those selected, and it was found that NRW prediction that reflects regional characteristics is possible.…”
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Advanced Transition Preemption Strategy for Signalized Intersections near Highway-Rail Grade Crossings with Dual Tracks by Yifeng Chen, Laurence R. Rilett, Zifeng Wu

“…Furthermore, the effects of train arrival prediction errors on safety and efficiency of the IHRGCs are also analyzed in the paper.…”
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The potential of wetlands and barrier islands as a coastal defense in mitigating the storm surge by Aditya Gupta, Matthew V. Bilskie, C. Brock Woodson

“…The study introduces an attenuation rate function based on the prediction factor that improves surge attenuation modeling by integrating real-world scenarios with idealized theoretical functions. …”
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The Quest for a Stable Disk by J. A. Sellwood, R. G. Carlberg

“…Toomre (1981) claimed that the Mestel disk, embedded in an equal-mass halo, is a notable counterexample, but his prediction of stability could not be reproduced in simulations, due to complicated nonlinear effects that caused secular growth of Poisson noise–driven disturbances until strong features emerged. …”
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ANN Model-Based Simulation of the Runoff Variation in Response to Climate Change on the Qinghai-Tibet Plateau, China by Chang Juan, Wang Genxu, Mao Tianxu, Sun Xiangyang

“…To identify the impacts of climate change in the runoff process in the Three-River Headwater Region (TRHR) on the Qinghai-Tibet Plateau, two artificial neural network (ANN) models, one with three input variables (previous runoff, air temperature, and precipitation) and another with two input variables (air temperature and precipitation only), were developed to simulate and predict the runoff variation in the TRHR. The results show that the three-input variable ANN model has a superior real-time prediction capability and performs well in the simulation and forecasting of the runoff variation in the TRHR. …”
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Mechanical Properties and Acoustic Emission Properties of Rocks with Different Transverse Scales by Xi Yan, Li Jun, Liu Gonghui, Guo Xueli

“…Since the stability of engineering rock masses has important practical significance to projects like mining, tunneling, and petroleum engineering, it is necessary to study mechanical properties and stability prediction methods for rocks, cementing materials that are composed of minerals in all shapes and sizes. …”
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Correlation of Unconfined Compressive Strength (UCS) with Compaction Characteristics of Soils in Burayu Town by Solomon Kormu, Alemineh Sorsa, Shelema Amena

“…This implies that the established model could be used to predict the UCS in the study area.…”
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Effects of Welded Mechanical Heterogeneity on Interface Crack Propagation in Dissimilar Weld Joints by Fu-qiang Yang, He Xue, Ling-yan Zhao, Xiu-rong Fang

“…The stress and strain status associated with the material properties is one of the main factors affecting stress corrosion cracking (SCC) of structural components in nuclear power plants (NPPs). In many SCC prediction models, the stress intensity factor calculated with homogeneous materials is used to characterize the crack tip stress state. …”
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Implementation of The AHP Method in Decision Support Systems for Granting Disposal Permits Household Liquid Waste in Makassar City by Ismail Ismail, M Afdal Tahir

“…The process of granting permits is carried out by determining eligibility standards with a prediction system without using standardized assessment criteria so that the final determination of granting permits is not accurate and precise. …”
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HANS REICHENBACH’IN BİLİMSEL FELSEFESİ: BULMA VE DOĞRULAMA BAĞLAMLARI ÜZERİNDEN BİR DEĞERLENDİRME by Seda Özsoy Somuncuoğlu

“…Bu makalenin amacı, düşünürün özellikle Experience and Prediction ve Bilimsel Felsefenin Doğuşu adlı eserlerinde ortaya koyduğu görüşlerini yeniden hatırlatarak bulma ve doğrulama bağlamlarına yönelik ayrımın içeriğini hem meseleyi benzer şekilde ele alanların hem de konuya eleştirel yaklaşanların katkıları ekseninde çözümlemektir.…”
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Backward Spectral Characterization of Liquid Crystal Display Based on Forward Spectral Characterization by Jian-qing Zhang, Fang Cai, Xiao-ying Shen, Zhen Liu, Ming Zhu

“…Third, RGB are inputted into forward spectral characterization model and the corresponding spectral radiation curves ρ1 are predicted. Last, RGB are modified according to the difference between predicted ρ1 and known ρ0, until this difference satisfied the prediction accuracy of the inverse characterization model. …”
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An Optimization Method of Multiclass Price Railway Passenger Transport Ticket Allocation under High Passenger Demand by Bin Wang, Shaoquan Ni, Fucai Jin, Zixu Huang

“…Then, on this basis, we use gray neural networks (GNNs) to predict the passenger demand of different origins and destinations (ODs), and according to the prediction results, we propose two ticket allocation methods based on operation and capacity control: accurate predivided model and fuzzy predivided model. …”
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Battery Prognostics and Health Management: AI and Big Data by Di Li, Jinrui Nan, Andrew F. Burke, Jingyuan Zhao

“…By enabling more precise and scalable monitoring and prediction of battery health, this transition marks a significant step forward in advancing the field.…”
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Neutrosophic Fuzzy Association Rule Generation-Based Big Data Mining Analysis Algorithm by Qunfeng Wei, Bin Qi

“…On large data sets, the prediction accuracy of the neutral fuzzy association rules algorithm is 95.68%, while that of the traditional method is only 89.63%. …”
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Effect of Fast Freeze-Thaw Cycles on Mechanical Properties of Ordinary-Air-Entrained Concrete by Huai-shuai Shang, Wei-qun Cao, Bin Wang

“…The experiment results can be used as a reference in design, maintenance, and life prediction of ordinary-air-entrained concrete structure (such as dam, offshore platform, etc.) in cold regions.…”
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Effect of frost on plants, leaves, and forecast of frost events using convolutional neural networks by Sobia Wassan, Chen Xi, NZ Jhanjhi, Laiqa Binte-Imran

“…How it affects the roots and prevents the growth of plants, vegetables, and fruits? Furthermore, we predicted how the frost will grow and how we should take early precautions to protect our crops? …”
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Construction and Application of Recognition Model for Black-Odorous Water Bodies Based on Artificial Neural Network by Zhonghua Xu, Changguo Dai, Jing Wang, Lejun Liu, Lei Jiang

“…In the water environment, construction, and civil engineering industries, digital twins have gradually become a popular solution in recent years, and in digital twins, accurate data prediction and category recognition are important parts of it. …”
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Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm by Yang Cao, Jun Yu, Rui Zhong, Masaharu Munetomo

“…The GA continuously finds the best hyperparameters for PSO and BA based on prediction accuracy, which significantly accelerates the optimization and improves the accuracy. …”
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