Factors associated with engagement in HIV care for young people living with perinatally acquired HIV in England: An exploratory observational cohort study. by Marthe Le Prevost, Ali Judd, Siobhan Crichton, Caroline Foster, Alasdair Bamford, Deborah Ford, Adolescents; Adults Living with Perinatal HIV (AALPHI) Steering Committee

“…We applied it to data from young people with PHIV in the Adolescents and Adults Living with Perinatal HIV (AALPHI) cohort. The algorithm predicts the timing of the next scheduled clinic visit, within 1-6 months of current visit, based on routine clinical data. …”
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Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…There were 8 following most significant parameters for predicting a fatal outcome according to machine selection results: age, LVEF, BSA, creatinine level, systolic blood pressure, HF, comorbidity, nosological unit.…”
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Coupled Elastic–Plastic Damage Modeling of Rock Based on Irreversible Thermodynamics by Xin Jin, Yufei Ding, Keke Qiao, Jiamin Wang, Cheng Fang, Ruihan Hu

“…This proves that the model can effectively predict the failure behavior of shale under different confining pressures and bedding angles. …”
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The neutrophil extracellular trap-related gene FPR1 (formyl peptide receptor 1) as a potential prognostic and therapeutic target in osteosarcoma by Shihao Li, Qiong Yuan, Yuanyuan Zhang, Haiyang Zhang

“…Results A signature NET score, comprising four NET-related genes (TNFRSF10C, FPR1, BST1 and SELPLG), was constructed to predict the prognosis of OS. The survival outcomes for patients in high-NET score group were markedly worse than that in the low-NET score group. …”
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GNSS-RTK-Based Navigation with Real-Time Obstacle Avoidance for Low-Speed Micro Electric Vehicles by Nuksit Noomwongs, Kanin Kiataramgul, Sunhapos Chantranuwathana, Gridsada Phanomchoeng

“…The system employs a scored predicted trajectory algorithm that simultaneously optimizes path-following accuracy and obstacle evasion. …”
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Multi-scale adversarial diffusion network for image super-resolution by Yanli Shi, Xianhe Zhang, Yi Jia, Jinxing Zhao

“…This ensures that the predicted images exhibit more realistic texture details. …”
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Automated recognition and segmentation of lung cancer cytological images based on deep learning. by Qingyang Wang, Yazhi Luo, Ying Zhao, Shuhao Wang, Yiru Niu, Jinxi Di, Jia Guo, Guorong Lan, Lei Yang, Yu Shan Mao, Yuan Tu, Dingrong Zhong, Pei Zhang

“…In addition, the model was deemed suitable for diagnosing pleural fluid cytology and bronchoalveolar lavage fluid cytology images. The model predictions were strongly correlated with pathologist diagnoses and the gold standard, indicating the model's ability to make clinical-level decisions during initial diagnosis. …”
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Distribution Network Security Situation Awareness Method Based on the Distribution Network Topology Layered Model by Yuhong Ouyang, Man Li, Wenqian Kang, Xiangbei Che, Ruixian Ye

“…The long- and short-term memory network is then used to predict the operation trend of the distribution network under normal operation and fault disturbance. …”
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Models for a Fast Computation of Internal Overvoltages in Medium-Frequency Transformers by Bastian Korthauer, Jurgen Biela

“…Simulation and measurement results show that the proposed models can compute internal overvoltages more than 500 times faster than FEA, while predicting the maximum overvoltage with an error of less than <inline-formula><tex-math notation="LaTeX">$7 \%$</tex-math></inline-formula>. …”
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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

“…Determining what information AI should provide to aid humans is vital, a concept underscored by explainable AI's efforts to justify AI predictions. However, how the information is presented, e.g., the sequence of recommendations and solicitation of interpretations, is equally crucial as complex interactions may emerge between humans and AI. …”
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Winter arctic sea ice volume decline: uncertainties reduced using passive microwave-based sea ice thickness by Clement Soriot, Martin Vancoppenolle, Catherine Prigent, Carlos Jimenez, Frédéric Frappart

“…Abstract Arctic sea ice volume (SIV) is a key climate indicator and memory source in sea ice predictions and projections, yet suffering from large observational and model uncertainty. …”
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Design and Optimization of a Piezoelectric Stick-Slip Actuator with Distributed Compliance by Tingting Ye, Zhao Feng, Yangmin Li

“…Then, its dominant performances are predicted through finite element analysis, including the step size and the first natural frequency. …”
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Determination of disintegration time using formulation data for solid dosage oral formulations via advanced machine learning integrated optimizer models by Mohammed Ghazwani, Umme Hani

“…Data preprocessing involved Min-Max normalization, outlier detection via Elliptic Envelope, and feature selection using Conditional Mutual Information, with hyperparameters optimized through the Water Cycle Algorithm. Performance was assessed using R², RMSE, and MAE across train, validation, and test sets, with 95% confidence intervals confirming robust predictions. …”
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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

“…The system automatically predicts whether the driver is valid with the registration number plate. …”
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In Silico identification and modelling of FDA-approved drugs targeting T-type calcium channels. by Pedro Fong, Susana Roman Garcia, Melanie I Stefan, David C Sterratt

“…We used the automated docking suite GOLD v5.5 with the genetic algorithm to simulate molecular docking and predict the protein-ligand binding modes, and the ChemPLP empirical scoring function to estimate the binding affinities of 2,115 FDA-approved drugs to the human Cav3.1 channel. …”
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Machine Learning Classification of 3D Intracellular Trafficking Using Custom and Imaris-Derived Motion Features by Oleg Kovtun

“…<b>Methods:</b> This study extends a previously established two-dimensional, machine learning-based diffusional fingerprinting approach into a three-dimensional framework to overcome this limitation. It presents an algorithm that predicts intracellular motion types based on a comprehensive feature set, including custom statistical descriptors and standard Imaris-derived trajectory features, which capture subtle variations in individual trajectories. …”
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YOLO Model-Based Eye Movement Detection During Closed-Eye State by Shigui Zhang, Junhui He, Yuanwen Zou

“…Our tracker achieved a mean distance error of 0.77 mm, with 90% of predicted eye position distances having an error of less than 1.67 mm, enabling real-time tracking at 30 frames per second. …”
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The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China by Hui Zhu, Kaiqi Zhang, Changjun Wang, Lujin Jia, Siyu Song

“…Moreover, the POIs with flexible traffic flows increase road congestion, while the POIs with predicted traffic flows have no statistically significant correlation with road congestion. …”
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The Face and number plate recognition for car anti-theft by Quoc Bao Truong, Tan-Loc Tran, Thanh Tan-Kiet Nguyen, Huu Cuong Nguyen

“…The system automatically predicts whether the driver is valid with the registration number plate. …”
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A Novel Hybrid Model for Short-Term Forecasting in PV Power Generation by Yuan-Kang Wu, Chao-Rong Chen, Hasimah Abdul Rahman

“…Moreover, five types of forecasting modules were developed and utilized to predict the one-hour-ahead PV output. They include the ARIMA, SVM, ANN, ANFIS, and the combination models using GA algorithm. …”
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