FundusNet: A Deep-Learning Approach for Fast Diagnosis of Neurodegenerative and Eye Diseases Using Fundus Images by Wenxing Hu, Kejie Li, Jake Gagnon, Ye Wang, Talia Raney, Jeron Chen, Yirui Chen, Yoko Okunuki, Will Chen, Baohong Zhang

“…Additionally, the model’s high accuracy in predicting genetic risk suggests that its performance could be further enhanced with larger training datasets.…”
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Multimodal approach to public health interventions using EGG and mobile health technologies by Xiao Zhang, Han Liu, Mingyang Sun, Shuangyi Feng

“…IntroductionPublic health interventions increasingly integrate multimodal data sources, such as Electroencephalogram (EEG) data, to enhance monitoring and predictive capabilities for mental health conditions. …”
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Optimal Pathways to Lung Cancer Screening in Primary Care Settings: A Scoping Review by Emmanouil K. Symvoulakis, Izolde Bouloukaki, Antonios Christodoulakis, Antonia Aravantinou-Karlatou, Ioanna Tsiligianni

“…Important strategies for LCS included the use of shared decision-making tools, electronic health record (HER) prompts, risk prediction models, community outreach, and integration with smoking cessation programs. …”
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Experimental Research on Mechanical Property and Environmental Safety of an Industrial Residue Waste Subgrade Material by Yangpeng Zhang, Jianping Xiong, Qinglin Li, Jiuhui Cui

“…The aim of this paper is to study the mechanical behavior and environmental impact of SOF, which is regarded as the safety assessment and prediction for the application of this novel material. …”
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Translation and cross-cultural validation of the Lithuanian version of the sleep-related breathing disorder scale of the Pediatric Sleep Questionnaire by Gintare Oboleviciene, Valdone Miseviciene

“…We found a sensitivity of 72.7% and specificity of 64.6% for a Lithuanian PSQ cutoff score of 8 to predict moderate-to-severe apnea, and a sensitivity of 85.0% and specificity of 62.0% to predict severe apnea. …”
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Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

“…The spontaneous combustion of residual coals in the mined-out area tends to cause an explosion, which is one kind of severe thermodynamic compound disaster of coal mines and leads to serious losses to people's lives and production safety. The prediction and early warning of coal mine thermodynamic disasters are mainly determined by the changes of the index gas concentration pattern in coal mine mined-out areas collected continuously. …”
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Modeling Ionospheric TEC Using Gradient Boosting Based and Stacking Machine Learning Techniques by Ayanew Nigusie, Ambelu Tebabal, Roman Galas

“…Abstract Accurately predicting and modeling the ionospheric total electron content (TEC) can greatly improve the accuracy of satellite navigation and positioning and help to correct ionospheric delay. …”
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Serum amyloid A protein as a predictor of severity in coronavirus disease 2019-infected Egyptian patients by Dalia A.E.M.A.E.R. Negm, Wafaa M.A.E.-W. Elzefzafy, Sabah E.A. El Raheem, Nessren M.B. El Deen

“…Conclusion Single use of SAA during the pandemic could not achieve prediction of severity or the prognosis of COVID-19.…”
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Tuning a SAM-Based Model With Multicognitive Visual Adapter to Remote Sensing Instance Segmentation by Linghao Zheng, Xinyang Pu, Su Zhang, Feng Xu

“…However, SAM's lack of pretraining on massive remote sensing images and its interactive structure limit its automatic mask prediction capabilities. In this article, a multicognitive SAM-based instance segmentation model (MC-SAM SEG) is introduced to employ SAM on remote sensing domain. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…There are some useful findings: (1) the proposed model outperformed empirical rule-based detection models; (2) image enhancement method can largely improve crash detection performance under low-visibility conditions; (3) the accuracy of object detection (e.g., bounding box prediction) can impact crash detection performance, especially for minor motor-vehicle crashes. …”
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Evaluation Uncertainty in the Volume of Oil in Place in Mishrif Reservoir by Loay Khamees, Farah Abdulrazzaq

“…Uncertainty methods can be used based on several reservoir factors to predict a range of reserve values, each value gives a range of production forecasts. …”
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Investigation of Traffic Loading Effects for Different Codes on Medium- and Small-Span Girder Bridges in China by Qingfei Gao, Biao Wu, Jun Li, Kemeng Cui, Chuang Xu

“…The conclusion in this study can provide a basis for bridge structure evaluation and life prediction.…”
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Vehicle Information Influence Degree Screening Method Based on GEP Optimized RBF Neural Network by Jingfeng Yang, Nanfeng Zhang, Ming Li, Yanwei Zheng, Li Wang, Yong Li, Ji Yang, Yifei Xiang, Lufeng Luo

“…To solve the problem for a large number of data transmissions in an actual operation, wireless transmission is proposed for text information (including position information) on the basis of the principles of the maximum entropy probability and the neural network prediction model combined with the optimization of the Huffman encoding algorithm, from the exchange of data to the entire data extraction process. …”
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Response Analysis of Deep Foundation Excavation and Dewatering on Surface Settlements by Xian Li, Tingguo Zhou, Yixian Wang, Junling Han, Yanqiao Wang, Fang Tong, Delong Li, Jinmei Wen

“…Accurate prediction of surface settlements is a primary concern when deep excavations were carrying out under the water table in urban environments for the safety of the work site. …”
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Experimental Study on Mechanical Properties of CFRP-Confined Concrete Columns under Continuous Semi-Submergence of Sulfate by Mingxi Cai, Lijun Shao, Jiawei Zhang, Kaijin Xu, Jie Zhang, Penggang Li

“…Based on a comparison with experimental data, the model prediction curves indicate good agreement with the experimental curves and can therefore provide a theoretical basis and practical reference for CFRP-reinforced semi-submerged concrete in saline soil areas.…”
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Investigation on steady-state temperature field by a novel laminated tooth for multi-tooth in harmonic gear drive by Wang Shuyan, Chen Hongwei, Zhang Xinyi, Guo Shuming, Lin Zebin, Chen Bingkui

“…The results show that compared with the single-tooth and full-tooth temperature field models in the current published literature, the temperature field model in this study reduces the temperature error by 29.4%–34.1 % and saves the pre-processing time by 87.5 %, enhancing the prediction accuracy and efficiency of harmonic gear temperature. …”
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Construction of a 12-gene prognostic model for colorectal cancer based on heat shock protein-related genes by Qin Tong, Junchao Zhou

“…Combined, our study successfully crafted a novel CRC prognostic model that can effectively predict patient survival, immune landscape, and treatment response, providing important support and guidance for CRC patient prognosis.…”
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Investigation and Assessment of the CFD for Horizontal Flow in the VHTR Core by Yan Shengyuan, Jean Luc Habiyaremye, Wei Yingying, Cong Chi Tran

“…A model simulation was performed on a two-prismatic fuel block with a cross gap to examine the gaping size effect. Finally, the prediction methods for horizontal flow phenomena using a CFD technique and the field investigation results from the VHTR core were verified, and the identification of the horizontal flow behavior played a vital role in investigating the coolant velocity and pressure distribution in the horizontal gap.…”
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Analysis of Influencing Factors and Noise Reduction Effects of Viaduct Noise in City Rail Transit by WANG Chaoliang, QIU Haihui

“…［Method］ Based on theories of vehicle-track dynamics, wheel-rail vibration radiation, and viaduct structure vibration radiation, a prediction model for viaduct noise in city rail transit is established. …”
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Advances and Challenges in Pediatric Sepsis Diagnosis: Integrating Early Warning Scores and Biomarkers for Improved Prognosis by Susanna Esposito, Benedetta Mucci, Eleonora Alfieri, Angela Tinella, Nicola Principi

“…This review examines the roles of clinical prediction tools and biomarkers in pediatric sepsis. …”
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