A New Evaluation Method for the Uniaxial Compressive Strength ahead of the Tunnel Face Based on the Driving Data and Specification Parameters of TBM by Yuexiu Wu, Chishuai Ma, Xianjun Tan, Dianseng Yang, Hongming Tian, Jianping Yang

“…The absolute errors between predictive UCS and experimental UCS were presented. …”
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Impact of polygeNic risk score for glaucoma on psycHosocial ouTcomes (INSiGHT) study protocol. by Giorgina Maxwell, Robert Allen, Simone Kelley, Lucinda Hodge, Georgina L Hollitt, Mathias Seviiri, Daniel Thomson, Joshua Schmidt, Jamie E Craig, Sarah Cohen-Woods, Emmanuelle Souzeau

“…This is largely due to the early stages of disease being asymptomatic; current population-based screening measures being unsupported; and a lack of current efficient prediction models. Research investigating polygenic risk scores (PRS) for glaucoma have shown predictive ability to identify individuals at higher risk. …”
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The people’s game: evolutionary perspectives on the behavioural neuroscience of football fandom by Matt Butler, Gurjot Brar, Gurjot Brar, Riadh Abed, Henry O’Connell, Henry O’Connell

“…We discuss how the appeal of football may arise through the low-scoring and highly variable outcomes of games; we relate this to the neuroscience of reward prediction errors and motivation. We highlight recent research on the psychobiological responses to ritual, including endorphin release, which may reduce anxiety and facilitate group bonding. …”
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Assessment of future urban flood risk of Thailand's bangkok metropolis using geoprocessing and machine learning algorithm by Duangporn Garshasbi, Jarunya Kitiphaisannon, Tanaphoom Wongbumru, Nawhath Thanwiset Thanvisitthpon

“…This research is the first to integrate geoprocessing with machine learning to enhance the prediction performance and accuracy of future urban flood risk projections.…”
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Concurrent Heat Extremes in Relation to Global Warming, High Atmospheric Pressure and Low Soil Moisture in the Northern Hemisphere by Dalai Nasong, Sha Zhou, Kai Kornhuber, Bofu Yu

“…Given the ever‐increasing risks of heat extremes, our study underscores the importance of identifying the mechanisms of spatially concurrent heat extremes to improve prediction and mitigation of widespread heatwaves and their adverse impacts on socio‐economic sustainability and human well‐being.…”
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Acoustic Emission Simulation on Coal Specimen Subjected to Cyclic Loading by Huiqiang Duan, Depeng Ma

“…Therefore, it is of great significance to study the AE evolution of loaded coal and rock masses for the evaluation of damage degree and prediction of collapse. The paper mainly represents a numerical simulation investigation of the AE characteristics of coal specimen subjected to cyclic loading under three confining pressures, loading-unloading rates, and valley stresses. …”
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Assessing agritourism-integrated rural human settlement environment under the “dual-carbon” goal: evidence from Zhejiang, China by Shuaijun Lin, Hongfeng Zhang, Johnny F. I. Lam

“…Meanwhile, the BP neural network model was applied to predict the scores of 22 sample villages, and the prediction results were highly correlated with the actual ones. …”
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Decoding the general role of tRNA queuosine modification in eukaryotes by Jorge Díaz-Rullo, Luis González-Moreno, Araceli Del Arco, José Eduardo González-Pastor

“…Here, through bioinformatics analysis of representative eukaryotic genomes we have predicted: i) the genes enriched in NAU codons, whose translation would be affected by tRNA Q-modification (Q-genes); and ii) the specific biological processes of each organism enriched in Q-genes, which generally in eukaryotes would be related to ubiquitination, phosphatidylinositol metabolism, splicing, DNA repair or cell cycle. …”
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Anxiety classification in virtual reality using biosensors: A mini scoping review. by Deniz Mevlevioğlu, Sabin Tabirca, David Murphy

“…<h4>Background</h4>Anxiety prediction can be used for enhancing Virtual Reality applications. …”
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Reproduction of Local Strong Wind Area Induced in the Downstream of Small-Scale Terrain by Computational Fluid Dynamic (CFD) Approach by Takanori Uchida, Keiji Araki

“…A computational simulation for the prediction of wind conditions by large-eddy simulation (LES) was implemented, and it was clarified that local strong wind areas are mainly caused by separated flows originating from small-scale terrain positioned at its upstream (at approximately 180 m above sea level). …”
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Optimization by Box–Behnken Design and Synthesis of Magnetite Nanoparticles for Removal of the Antibiotic from an Aqueous Phase by Marjan Salari

“…In fact, a cooperative agreement between model prediction and experimental data using BBD with significant R2 values of 0.95 was observed. …”
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Permanent Deformation Characteristics of Coarse Grained Subgrade Soils under Train-Induced Repeated Load by Xianzhang Ling, Peng Li, Feng Zhang, Yingying Zhao, Yan Li, Lingshi An

“…A simplified mechanistic empirical prediction model was proposed, which predicted the permanent deformation as product of four independent functions about cyclic stress amplitude, initial mean stress, initial stress ratio, and number of load cycles. …”
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Defend Against Property Inference Attack for Flight Operations Data Sharing in FedMeta Framework by Jin Lei, Weiyun Li, Meng Yue, Zhijun Wu

“…FedMeta-CTGAN adapts quickly to unbalanced data, achieving a prediction accuracy of 96.33%, while reducing the attacker’s inference AUC score to 0.51 under property inference attacks. …”
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Simulation modeling tools in training environmental science students by А. G. Kot, A. B. Achasov, O. Yu. Seliverstov, V. G. Karpov

“…The use of computer modeling and forecasting for the analysis and prediction of complex systemic processes, particularly in the field of environmental protection, is extremely important. …”
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Thermodynamic, diffusion and precipitation behaviors in Cu–Ni–Si–Co alloys: Modeling and experimental validation by Haoyue Ling, Ying Tang, Jing Zhong, Xiangpeng Meng, Min Zhang, Lijun Zhang

“…Aging precipitation is an important process that affects the mechanical and electrical properties of Cu alloys. Quantitative prediction of microstructure evolution during aging process is crucial for controlling their performance. …”
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Reflections on the Impact of Extreme Weather on New Power Systems and Countermeasures by Chen CAO, Zengping WANG

“…In addition, the paper points out the significance of strengthening in-depth integration of power systems and meteorological systems for enhancing risk prediction and dynamic response capabilities of the system, thus providing scientific basis and technical support for improving the system resilience.…”
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Structural Optimization of the Aircraft NACA Inlet Based on BP Neural Networks and Genetic Algorithms by Zhimao Li, Changdong Chen, Houju Pei, Benben Kong

“…Results show that (1) the optimization algorithm is efficient with less prediction error of the mass flow rate and fuel penalty. …”
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Artificial Intelligence (AI) in the Banking Industry: A Review of Service Areas and Customer Service Journeys in Emerging Economies by Tajudeen Alaburo Abdulsalam, Rofiat Bolanle Tajudeen

“…The research highlights AI's growing use in process automation, customer experience, stock market trend prediction, credit risk management, online banking, marketing management, and auditing. …”
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Ecological significance of protected areas in the tropical mountains of Eastern Africa by Marco Andrew Njana

“…The newly developed height-diameter allometries out-performed the existing allometries hence improving the prediction of tree height and biomass in the EAMs. The bottom line of this study is that the PAs in tropical mountains in Eastern Africa and beyond are critical in the conservation of tree species and have net positive effects on forest structure, carbon storage and other ecosystem services. …”
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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…Hub genes were screened that displayed high prediction accuracy of UC patients. Both the microarray and scRNA-seq datasets showed a strong correlation with immune cell infiltration and cytokines, especially GBP1, TRIM22, SRI. …”
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