Unveiling the Hidden Burden: Estimating All-Cause Mortality Risk in Older Individuals with Type 2 Diabetes by Dikang Pan, Hui Wang, Sensen Wu, Jingyu Wang, Yachan Ning, Jianming Guo, Cong Wang, Yongquan Gu

“…The objective of this study is to develop and validate a predictive nomogram for estimating the 5-year all-cause mortality risk in older persons with T2D (T2D). …”
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Numerical Research of the Submerged High-Pressure Cavitation Water Jet Based on the RANS-LES Hybrid Model by Yongfei Yang, Weidong Shi, Linwei Tan, Wei Li, Songping Chen, Bo Pan

“…It is found that the calculation accuracy for small-scale vortexes has a great influence on the prediction accuracy of cavitation in the submerged jet. …”
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Development of CNN-Based Semantic Segmentation Algorithm for Crop Classification of Korean Major Upland Crops Using NIA AI HUB by Dong-Wook Kim, Gyujin Jang, Hak-Jin Kim

“…Accurately estimating crop cultivation areas is critical for predicting yields and managing overproduction, particularly for staple crops grown in regions like Jeju Island, South Korea, where reporting cultivation areas is mandatory. …”
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Organoid models: applications and research advances in colorectal cancer by Yijie Wu, Yijie Wu, Yu Sha, Xingpo Guo, Ling Gao, Jian Huang, Song-Bai Liu, Song-Bai Liu

“…In conclusion, this review systematically explains the applications of organoids in colorectal cancer research, highlighting their tremendous potential and promising prospects in basic research, drug research and development, personalized treatment evaluation and prediction, and regenerative medicine.…”
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Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…The results indicate that the proposed hybrid models significantly improve the prediction of ALE, leading to more efficient node deployment and better network management. …”
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Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers by Camilo E. Valderrama, Camilo E. Valderrama, Anshul Sheoran

“…BackgroundElectrical activity recorded with electroencephalography (EEG) enables the development of predictive models for emotion recognition. These models can be built using two approaches: subject-dependent and subject-independent. …”
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Model for sustainable carbon emission reduction energy development and smart grid technology strategy by Kangli Xiang, Keren Chen, Simin Chen, Wanqing Chen, Jinyu Chen

“…To address this problem, a model for optimal power system operation and scheduling based on the prediction error mechanism and synthetic fuel technology is proposed. …”
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A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System by Weizhong Zheng, Xiwu Zhan, Jicheng Liu, Michael Ek

“…It is well documented that soil moisture has a strong impact on precipitation forecasts of numerical weather prediction models. Several microwave satellite soil moisture retrieval data products have also been available for applications. …”
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Artificial Intelligence Methods Applied to Catalytic Cracking Processes by Fan Yang, Mao Xu, Wenqiang Lei, Jiancheng Lv

“…Product yield analysis, flue gas desulfurization prediction, and abnormal condition warning are several key research directions in FCC. …”
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Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization by Lucio Assis Araujo Neto, Alessandra Maia Freire, Luciano Paulino Silva

“…Using the Teachable Machine platform, images were grouped and trained for subsequent prediction. <b>Results</b>: Over six hundred histological cross-section images were obtained and stored in a virtual database. …”
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Application of BPNN Optimized by Fireworks Algorithm on Structural Bearing Capacity Analysis of Transmission Tower under Icing Conditions by Jian Guo, Wu Guo

“…In order to accurately predict the structural bearing capacity, reduce the adverse effects of line icing, and ensure the structural stability of the transmission tower, the FWA is introduced into the neural network model. …”
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Sonographic assessment of post-intubation laryngeal obstruction as predictor of weaning outcome by Mohamed Taher Anwar, Amro Ahmed Esmat, Mohamed Elsaid Ali Hassan Elfeqy

“…Aim To evaluate the effectiveness of sonar assessment of laryngeal air column width difference to predict post-extubation upper airway obstruction and its relation to cuff leak volume. …”
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Prevalence of Sarcopenic Obesity in Adults with Class II/III Obesity Using Different Diagnostic Criteria by Carlene A. Johnson Stoklossa, Arya M. Sharma, Mary Forhan, Mario Siervo, Raj S. Padwal, Carla M. Prado

“…Accounting for body mass or fat mass may identify a higher number of individuals with SO, although risk prediction remains to be studied.…”
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Feature Engineering to Embed Process Knowledge: Analyzing the Energy Efficiency of Electric Arc Furnace Steelmaking by Quantum Zhuo, Mansour N. Al-Harbi, Petrus C. Pistorius

“…The implementation of engineered features—the slag volume and total carbon input—in an MLR model resulted in coefficients that were closer to expectations, but did not improve prediction accuracy. Further improvement was obtained by applying the engineered features to a non-linear machine-learned model (based on XGBoost), yielding both physically reasonable trends and smaller prediction errors. …”
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Rapid qualitative and quantitative analysis of strong aroma base liquor based on SPME-MS combined with chemometrics by Zongbao Sun, Junkui Li, Jianfeng Wu, Xiaobo Zou, Chi-Tang Ho, Liming Liang, Xiaojing Yan, Xuan Zhou

“…These results corroborated the hypothesis that SPME-MS combined with chemometrics can effectively achieve an accurate determination of different grades of SABL and prediction performance of esters.…”
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Analysis of Predictors for Lymph Node Metastasis in Patients with Superficial Esophageal Carcinoma by Ruzhen Jia, Qinsong Luan, Jing Wang, Dongsheng Hou, Shulei Zhao

“…The depth of invasion was remeasured and classified into 6 groups according to their wall penetration. The prediction model was founded based on the independent risk factors. …”
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An Improved Hybrid Collaborative Filtering Algorithm Based on Tags and Time Factor by Chunxia Zhang, Ming Yang, Jing Lv, Wanqi Yang

“…Our experimental results show that our method alleviates the sparsity problem and demonstrates promising prediction accuracy.…”
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Follow-Up and Risk Assessment in Patients with Myocardial Infarction Using Artificial Neural Networks by Tatjana Gligorijević, Zoran Ševarac, Branislav Milovanović, Vlado Đajić, Marija Zdravković, Saša Hinić, Marina Arsić, Milica Aleksić

“…This technique has been used for prediction and classification problems in many areas of medical signal processing. …”
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ADAM-multi: software to simulate complex breeding programs for animals and plants with different ploidy levels and generalized genotypic effect models to account for multiple allel... by Thinh Tuan Chu, Thinh Tuan Chu, Just Jensen

“…We found that genomic models using dense bi-allelic markers could effectively predicted breeding values of individuals in a well-structure population despite the presence of multi-allelic QTL. …”
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The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective by Yan Li, Zhaoyang Xiang, Tao Xiong

“…Finally, we propose an improved hybrid prediction model for forecasting house prices. Our experimental results show that the proposed multiscale analysis paradigm is able to clearly reveal the behavioral mechanism hidden in the original house price. …”
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