A tridiagonal patch model of bacteria inhabiting a Nanofabricated landscape by Robert Stephen Cantrell, Brian Coomes, Yifan Sha

“…We examine the role of dispersal in determining the predictions of the model under source-sink dynamics.…”
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GIS-Based Landslide Susceptibility Mapping Using Frequency Ratio and Shannon Entropy Models in Dejen District, Northwestern Ethiopia by Abinet Addis

“…The results of AUC accuracy models showed that the success rates of the FR and SE models were 0.761 and 0.822, while the prediction rates were 0.753 and 0.826, respectively.…”
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Efficient Synthesis of Large Finite Patch Arrays for Scanning Wide-Angle Anomalous Reflectors by Sravan Kumar Reddy Vuyyuru, Risto Valkonen, Sergei A. Tretyakov, do-Hoon Kwon

“…It is based on efficient and accurate prediction of the induced current distribution and the associated scattering for any given set of load impedances. …”
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COCONUT HUSK CHAR BIOSORPTIVITY IN HEAVY METAL DIMINUTION FROM CONTAMINATED SURFACE WATER by AJAYI-BANJI ADEMOLA, SANGODOYIN ABIMBOLA, IJAOLA OPOLOLA

“…Isotherm and kinetic models were the probing tools for biosorption mechanism prediction. Results indicated removal efficiency for chromium, cobalt, cadmium, aluminum and arsenic at 60 mins contact time were 72, 80, 86, 89 and 100 % respectively. …”
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Climate effect on rainfed wheat production in Zarfshan valley with emphasis on Ryan Panjkent by Mohamad hosein hoseini rozbahani

“…The prediction was evaluated with observational data and also through Anova correlation and test between climatic parameters and production of rainfed wheat per hectare by Toronto White Climate Method. …”
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3D Simulation Design and Application of Traditional Hanfu Based on Internet of Things by Li Lin, Wen Gan

“…The reliability of IoT technology also improves the accuracy of CNN methods in predicting Hanfu eigenvalues. The largest prediction error is only 2.84%. …”
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Lion Algorithm-Optimized Long Short-Term Memory Network for Groundwater Level Forecasting in Udupi District, India by B. S. Supreetha, Narayan Shenoy, Prabhakar Nayak

“…The historical GWL and rainfall data from an observation well from Udupi district, located in Karnataka state, India, were used to develop the model. The prediction accuracy of the hybrid LSTM-LA model was better than that of the feedforward neural network (FFNN) and the isolated LSTM models. …”
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Evaluation and Interpretation of Transcriptome Data Underlying Heterogeneous Chronic Obstructive Pulmonary Disease by Seokjin Ham, Yeon-Mok Oh, Tae-Young Roh

“…Computational protein localization prediction revealed that 19 proteins showing changes in subcellular localization were mostly related to mitochondria, suggesting that mislocalization of mitochondria-targeting proteins plays an important role in COPD pathology. …”
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INFLUENCE OF CONTACT STATE ON PROPAGATION PATH OF RAIL SURFACE CRACK by MENG RuiJun, ZHAO Rui, WEI XiaoGang

“…In order to investigate the formation mechanism of fishhook shaped spalling defect on rail surface, the fatigue calculation model of wheel/rail rolling contact was established and the prediction method of crack propagation path was proposed based on the contact element method and maximum circumferential tensile stress criterion. …”
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A Digital Twin Comprehensive Monitoring System for Ship Equipment by Miao Zhe, Zhao Yong, Su Shaojuan, Song Nanzhe

“…Through data-driven models and operational monitoring system analysis, our PSO-SVM-based time series prediction method demonstrated excellent predictive capabilities for catamaran equipment, achieving efficient fault warnings using a threshold method. …”
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RESEARCH ON THE REMAINING INTENSITY OF PIPELINE CORROSION BASED ON IWOA-LSSVM by ZHANG Jia, Ll LinFeng, WANG HaoJie, ZHANG Ting

“…In response to pipeline corrosion surplus intensity, a surplus intensity prediction method based on the Improved Whale Optimization Algorithm (IWOA ) -Least Square Support Vector Machine (LSSVM) combination algorithm model. …”
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Computer Simulation of Water Flow Animation Based on Two-Dimensional Navier-Stokes Equations by Rushi Cao, Ruyun Cao

“…The results show that FluidsNet has considerable performance in accelerating large scene animation simulation on the basis of ensuring the rationality of prediction, and the motion of water wave is realistic. …”
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Research on the impact of enterprise digital transformation based on digital twin technology on renewable energy investment decisions by Mengying Cao, Wanxiao Song, Yanyan Xu

“…Digital twin technology, as an emerging tool, enables real-time monitoring, prediction, and optimization by creating dynamic virtual models of real-world processes. …”
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Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data by Yifan Fan

“…The research results show that the CNN and LSTM methods can better extract the three features in the evaluation of music teaching effect, and the maximum prediction error is only 2.23%. Hybrid CNN-LSTM with LSTM neural network has higher accuracy in predicting music teaching effect than single neural network technique. …”
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Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

“…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
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Fractal analysis of geomagnetic data to decipher pre-earthquake processes in the Andaman–Nicobar region, India by R. Prajapati, K. Arora

“…Thus, the monofractal, spectrum width, and Hölder exponent parameters reveal a different nature of pre-earthquake processes that can be identified, on average, 10, 12, and 20 d prior to the moderate earthquakes, which holds promise for short-term earthquake prediction.</p>…”
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Determination of the Transport Properties of Structural Concrete Using AC Impedance Spectroscopy Techniques by Lipeng Wu, Peng Dai, Yong Li

“…Among many transport parameters, the chloride ion diffusion coefficient is the most important one, which provides important information on material design and service life prediction. In this paper, AC impedance spectroscopy technology was employed in the measurement of chloride ion diffusion coefficient. …”
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Ginkgetin Alleviates Inflammation and Senescence by Targeting STING by Yadan Liu, Jialin Ye, Zisheng Fan, Xiaolong Wu, Yinghui Zhang, Ruirui Yang, Bing Jiang, Yajie Wang, Min Wu, Jingyi Zhou, Jingyi Meng, Zhiming Ge, Guizhen Zhou, Yuan Zhu, Yichuan Xiao, Mingyue Zheng, Sulin Zhang

“…To reveal the molecular mechanism of Ginkgetin's anti‐aging effect, a graph convolutional network‐based drug “on‐target” pathway prediction algorithm for prediction is employed. The results indicate that the cGAS‐STING pathway may be a potential target for Ginkgetin. …”
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Key Performance Indicators in Freestyle Swimming: Comparing Start, Turn, and Swimming Velocity in Top-Elite Female Junior and Adult Swimmers by Chantal Widmer, Julia Hernandez, Michael Romann, Wolfgang Taube, Dennis-Peter Born

“…While the effect of start performance decreased from short to long race distances, turn performances showed a U-shaped, hence largest effect on middle-distance races, i.e. 200 m and 400 m. The prediction tool that was developed from the regression model allows the prediction of individual performance progressions and rankings at international swimming competitions by combining isolated performance analysis with race analysis data. …”
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Artificial intelligence-enhanced electrocardiography improves the detection of coronary artery disease by Chi-Hsiao Yeh, Tsung-Hsien Tsai, Chun-Hung Chen, Yi-Ju Chou, Chun-Tai Mao, Tzu-Pei Su, Ning-I Yang, Chi-Chun Lai, Chien-Tzung Chen, Huey-Kang Sytwu, Ting-Fen Tsai

“…The AI-enhanced ECG algorithm demonstrated high sensitivity (0.82–0.84) when detecting CAD in patients with normal ECGs and gave remarkably high prediction rates among those with abnormal ECGs, both with and without ischemia (92 %-95 % and 80 %-83 %, respectively). …”
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