Structural modeling of NAD+ binding modes to PARP-1 by N. V. Ivanisenko, D. A. Zhechev, V. A. Ivanisenko

“…We designed two NAD+ derivatives, which can be used for validation of predicted NAD+ binding models.…”
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Probabilistic Solar Proxy Forecasting With Neural Network Ensembles by Joshua D. Daniell, Piyush M. Mehta

“…In this work, we introduce methods using neural network ensembles with multi‐layer perceptrons (MLPs) and long‐short term memory (LSTMs) to improve on the SET predictions. We make predictions only from historical F10.7cm values. …”
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NATE: Non-pArameTric approach for Explainable credit scoring on imbalanced class. by Seongil Han, Haemin Jung

“…In contrast, tree-based machine learning models often provide enhanced predictive performance but struggle with interpretability. …”
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Plasma neutrophil gelatinase-associated lipocalin as a single test rule out biomarker for acute kidney injury: A cross-sectional study in patients admitted to the emergency departm... by Vicky Jenny Rebecka Wetterstrand, Martin Schultz, Thomas Kallemose, André Torre, Jesper Juul Larsen, Lennart Friis-Hansen, Lisbet Brandi

“…At these conditions the AUC for pNGAL to predict AKI was 85% giving an optimal cutoff of 142.5 ng/mL with a negative predictive value of 0.96, a positive predictive value of 0.35, a specificity of 0.87 and a sensitivity of 0.70.…”
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Diagnostic Value of the 13C Methacetin Breath Test in Various Stages of Chronic Liver Disease by Hamizah Razlan, Nurhayaty Muhamad Marzuki, Mei-Ling Sharon Tai, Azhar-Shah Shamsul, Tze-Zen Ong, Sanjiv Mahadeva

“…Diagnostic accuracy of the breath test was determined by sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve analysis. …”
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Retrospective study of long-term outcomes of enzyme replacement therapy in Fabry disease: Analysis of prognostic factors. by Maarten Arends, Marieke Biegstraaten, Derralynn A Hughes, Atul Mehta, Perry M Elliott, Daniel Oder, Oliver T Watkinson, Frédéric M Vaz, André B P van Kuilenburg, Christoph Wanner, Carla E M Hollak

“…Identification of factors that predict disease progression is needed to refine guidelines on initiation and cessation of enzyme replacement therapy. …”
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Optimizing Bioleaching for Printed Circuit Board Copper Recovery: An AI-Driven RGB-Based Approach by Jordi Vives Pons, Albert Comerma, Teresa Escobet, Antonio D. Dorado, Marta I. Tarrés-Puertas

“…The gradient boosting model, optimized via response surface methodology (RSM), outperformed the others, with predictions matching 84% of observed patterns. These results demonstrate strong predictive capabilities, with scope for further accuracy enhancements. …”
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Joint embedding–classifier learning for interpretable collaborative filtering by Clémence Réda, Jill-Jênn Vie, Olaf Wolkenhauer

“…An interpretable classifier quantifies the importance of each input feature for the predicted item-user association in a non-ambiguous fashion. …”
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Axion dark matter, proton decay and unification by Pavel Fileviez Pérez, Clara Murgui, Alexis D. Plascencia

“…Abstract We discuss the possibility to predict the QCD axion mass in the context of grand unified theories. …”
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Performance Evaluation of an Air-Conditioning Compressor Part I: Measurement and Design Modeling by Thomas W. Bein, Yu-Tai Lee

“…Part II of this paper provides predictions of flow details in the areas of the compressor where there were differences between the measured and predicted performance.…”
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Dual-Channel Reasoning Model for Complex Question Answering by Xing Cao, Yun Liu, Bo Hu, Yu Zhang

“…Most existing methods predict the final answer and evidence sentences in sequence or simultaneously, which inhibits the ability of models to predict the path of reasoning. …”
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Evaluation of Temper Embrittlement of 30Cr2MoV Rotor Steels Using Electrochemical Impedance Spectroscopy Technique by Zhang Shenghan, Lv Yaling, Tan Yu

“…The results show that there was a linear relationship of interfacial impedance of the specimens and their FATT50 values. The predictive error based on the experiment study is within the range of ±15°C, indicating the predicting model is precise, effective, and reasonable.…”
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Numerical Fit Modeling for Temperature Mitigation in Arid Cities by Alan S. Hoback

“…The purpose of the study is to develop a general method to predict local temperature changes from mitigating the urban heat island effect using local climate engineering. …”
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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

“…One application is to predict sample members who are likely to be survey nonrespondents. …”
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An Augmented Classical Least Squares Method for Quantitative Raman Spectral Analysis against Component Information Loss by Yan Zhou, Hui Cao

“…Results indicated that the proposed method is effective at increasing the robust predictive power of traditional CLS model against component information loss and its predictive power is comparable to that of PLS or PCR.…”
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Relationships among COVID-19 causal factors perceived by children, basic psychological needs and social anxiety by Higinio González-García, Leandro Álvarez-Kurogi, Joel Prieto Andreu, Javier Tierno Cordón, Rosario Castro López, Jesús Salas Sánchez

“…Objective To examine whether COVID-19 causal factors perceived by children predicted basic psychological needs and social anxiety, and if basic psychological needs predicted social anxiety. …”
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Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements by G. Ayzel, M. Heistermann

“…However, DL struggles to adequately predict heavy precipitation, which is essential in early warning. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…<h4>Results</h4>Our decision tree used seven admission variables to predict the discharge disposition of older TBI patients. …”
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Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint by Yan Wang, Xiaoye Jin, Rui Qiu, Bo Ma, Sheng Zhang, Xuyang Song, Jinxi He

“…Predictions for cytotoxic drugs, including Docetaxel (R = 0.72) and Cisplatin (R = 0.71), were particularly robust, whereas predictions for targeted therapies were less accurate (R &lt; 0.3). …”
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The relationship between interpersonal trust, family capital, and physical activity behavior among university students: a cross-lagged study by Bo Li, Ying He, Xielin Zhou

“…A longitudinal follow-up survey was conducted among 412 college students in Sichuan Province, using the Interpersonal Trust Scale, Physical Activity Rating Scale, and Family Capital Scale, in two phases over eight weeks from early March (T1) to early May (T2) 2024. (1) The autoregressive path coefficients for interpersonal trust, family capital, and physical activity behavior were 0.51, 0.41, and 0.66, respectively, indicating good stability (p < 0.001). (2) Interpersonal trust at T1 positively predicted family capital at T2 (β = 0.28, p < 0.001), and family capital at T1 also positively predicted interpersonal trust at T2 (β = 0.23, p < 0.001), indicating a mutual influence between family capital and interpersonal trust. (3) Family capital at T1 did not predict physical activity behavior at T2 (p > 0.05), but physical activity behavior at T1 positively predicted family capital at T2 (β = 0.20, p < 0.001), indicating that physical activity behavior is a causal variable for family capital. (4) Interpersonal trust at T1 positively predicted physical activity behavior at T2 (β = 0.16, p < 0.001), while physical activity behavior at T1 did not predict interpersonal trust at T2 (p > 0.05), suggesting that interpersonal trust is a causal variable for physical activity behavior. (5) Family capital mediated the relationship between interpersonal trust and physical activity behavior (α = 0.046), with a confidence interval of [0.014,0.097]. …”
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