Prognostic model and immune-infiltrating cell landscape based on differentially expressed autophagy-related genes in TP53-mutated multiple myeloma by Yan-Hua Zheng, Hong-Yuan Shen, Xiang Chen, Juan Feng, Guang-Xun Gao

“…The objective of this research was to establish an autophagy-related gene (ARG) signature for predicting the survival outcomes of MM patients with TP53 mutations. …”
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Pharmacological Mechanism of Zuojin Pill for Gastroesophageal Reflux Disease: A Network Pharmacology Study by Mi Lv, Jinke Huang, Jiayan Hu, Wenxi Yu, Ping Liu, Kunli Zhang, Fengyun Wang

“…Subsequently, the obtained data were subjected to further network pharmacological analysis to explore the potential key active compounds, core target genes, and biological processes (BPs) associated with the effect of ZJP against GERD. Finally, the prediction results of NP were validated by MD, and MDS of the optimal core protein-ligand for each component obtained by MD were performed using Gromacs 2020 software. …”
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Shifted dominant flood drivers of an alpine glacierized catchment in the Tianshan region revealed through interpretable deep learning by Wenting Liang, Weili Duan, Yaning Chen, Gonghuan Fang, Shan Zou, Zhi Li, Zewei Qiu, Haodong Lyu

“…These findings provide critical insights for enhancing flood prediction and optimizing water resource management.…”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…The MSSS for MSES was above 0.5 in more than half of the evaluations, and the Pg score was consistently above 80, indicating high accuracy in precipitation magnitude prediction. These findings highlight the promise of advanced machine learning strategies like MSES in improving the accuracy and robustness of precipitation forecasts, addressing critical needs in water resource management and disaster mitigation in China.…”
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Effect of Artificial Intelligence Helpfulness and Uncertainty on Cognitive Interactions with Pharmacists: Randomized Controlled Trial by Chuan-Ching Tsai, Jin Yong Kim, Qiyuan Chen, Brigid Rowell, X Jessie Yang, Raed Kontar, Megan Whitaker, Corey Lester

“…Communicating uncertainty in an AI prediction is viewed as an important mechanism for boosting human collaboration and trust. …”
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The results of many years of complex use of cycle- and power-ergometry in determining the physical capacity of young athletes by M. F. Khoroshukha, A. I. Bosenko, Ye. L. Mykhaliuk, M. M. Filippov

“…Aim of the work: to assess the results of a complex use of cycle- and power-ergometry in determining the aerobic and anaerobic-aerobic performance in young athletes for the selection of criteria in predicting athletes’ sports abilities and performance results at competitions in certain sports. …”
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Non-Destructive Early Detection of Drosophila Suzukii Infestation in Sweet Cherries (c.v. <i>Sweet Heart</i>) Based on Innovative Management of Spectrophotometric Multilinear Corre... by Giuseppe Altieri, Mahdi Rashvand Avaei, Attilio Matera, Francesco Genovese, Vincenzo Verrastro, Naouel Admane, Orkhan Mammadov, Sabina Laveglia, Giovanni Carlo Di Renzo

“…To model the data fit/prediction, principal components regression and partial least squares regression algorithms were considered. …”
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The focal mechanism and field investigations of mining-induced earthquake by super-thick and weak cementation overburden strata fracturing by Xianxi Bai, Anye Cao, Changbin Wang, Yaoqi Liu, Chengchun Xue, Xu Yang, Yao Yang, Songwei Wang, Qi Hao

“…The research results provide a reference for the prediction, risk assessment and disaster control of MIEs under extremely thick overburden strata.…”
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Developing transcriptomic biomarkers for TAVO412 utilizing next generation sequencing analyses of preclinical tumor models by Ying Jin, Peng Chen, Huajun Zhou, Guangmao Mu, Simin Wu, Zhengxia Zha, Bin Ma, Chao Han, Mark L. Chiu, Mark L. Chiu

“…Together with specific driver mutation that associated with efficacy and the targets of TAVO412, a set of 21-gene biomarker was identified to predict the efficacy. A biomarker predictor was formulated based on the Linear Prediction Score (LPS) to estimate the probability of patients or tumor model response to TAVO412 treatment. …”
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Toxicity of antimony in housefly after whole-life-cycle exposure: Changes in growth, development, redox homeostasis, mitochondrial function, and fecundity by Yuming Zhang, Jinghua Lv, Xiaoli Sun, Yiwen Zhang, Menghua Shao, Bingbing Shi, Yajie Zhang, Jihai Gu, Chenchen Zhao, Fengsong Liu

“…These comprehensive toxicological data provide insight into the prediction of toxicity and the assessment of the ecological risk of Sb.…”
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Optimization of bioactive compounds and sensory quality in thermosonicated black carrot juice: A study using response surface methodology, gradient boosting, and fuzzy logic by Seydi Yıkmış, Melikenur Türkol, Ishak Pacal, Aylin Duman Altan, Nazlı Tokatlı, Gholamreza Abdi, Nazan Tokatlı Demirok, Rana Muhammad Aadil

“…RSM demonstrated higher prediction accuracy compared to GB, identifying optimal processing conditions at 48.68 °C, 11.15 minutes, and 82.62% amplitude. …”
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The transcription factor HMGB2 indirectly regulates APRIL expression and Gd-IgA1 production in patients with IgA nephropathy by Huijuan Tian, Yaling Zhai, Shuaigang Sun, Wenhui Zhang, Zhanzheng Zhao

“…In addition, we used DNA pull-down, protein profiling, and transcription factor prediction software to identify proteins bound to the promoter region of the APRIL gene. …”
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Dietary Glycemic Index, Dietary Glycemic Load, Blood Lipids, and Coronary Heart Disease by Edgar Denova-Gutiérrez, Gerardo Huitrón-Bravo, Juan O. Talavera, Susana Castañón, Katia Gallegos-Carrillo, Yvonne Flores, Jorge Salmerón

“…CHD risk was estimated according to the sex-specific Framingham prediction algorithms. Results. IIn the 5,830 individuals aged 20 to 70 who were evaluated, dietary GI and GL were significantly associated with HDL-C, LDL-C, LDL-C/HDL-C ratio, and triglycerides serum levels. …”
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CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space by Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit

“…Helping to assess the quality of a model’s prediction and understand its decision is critical to supporting human-AI collaboration and trust calibration. …”
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Increasing Safety of Vulnerable Road Users in Scenarios With Occlusion: A Collaborative Approach for Smart Infrastructures and Automated Vehicles by Thiago de Borba, Ondrej Vaculin, Hormoz Marzbani, Reza Nakhaie Jazar

“…The proposed extended perception system comprises four main modules: traffic monitoring, long-term motion prediction, collision risk assessment, and trajectory planning. …”
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Fuzzy Inference System Mamdani dalam Prediksi Produksi Kain Tenun Menggunakan Rule Berdasarkan Random Tree by Tundo Tundo, Shoffan Saifullah

“…When implemented in Fuzzy Mamdani, it can produce optimal woven fabric production predictions with predicted results less than the actual production. …”
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The steady-state level of plasma membrane ceramide is regulated by neutral sphingomyelinase 2 by Anne G. Ostermeyer-Fay, Abhay Kanodia, Ranjana Pathak, Maria Jose Hernandez-Corbacho, Aarnoud C. van der Spoel, Yusuf A. Hannun, Daniel Canals

“…In this work, we interrogate what sphingolipid metabolizing enzymes are responsible for modulating the basal levels of plasma membrane ceramide. An in-silico prediction and experimental confirmation found an almost perfect correlation between the endogenous expression levels of neutral sphingomyelinase (nSMase2) and the amount of plasma membrane ceramide in unstimulated cells. …”
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A Semianalytical Model for Analyzing the Infill Well-Caused Fracture Interference from Shale Gas Reservoirs by Sidong Fang, Yonghui Wu, Cheng Dai, Liqiang Ma, Hua Liu

“…The well interference makes it difficult for the conventional models to make production predictions, fracture characterization, and production data analysis. …”
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Near-Infrared Spectroscopy as a Process Analytical Technology Tool for Monitoring the Steaming Process of Gastrodiae rhizoma with Multiparameters and Chemometrics by Yamin Zuo, Jing Yang, Chen Li, Xuehua Deng, Shengsheng Zhang, Qing Wu

“…In the optimized models, the root mean square errors of prediction (RMSEP) for gastrodin, p-hydroxybenzyl alcohol, parishin B, parishin A, and moisture were 0.0181, 0.0143, 0.0132, 0.0244, and 2.15, respectively, and correlation coefficients (Rp2) were 0.9591, 0.9307, 0.9309, 0.9277, and 0.9201, respectively. …”
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Human Milk Archaea Associated with Neonatal Gut Colonization and Its Co-Occurrence with Bacteria by Maricarmen Salas-López, Juan Manuel Vélez-Ixta, Diana Laura Rojas-Guerrero, Alberto Piña-Escobedo, José Manuel Hernández-Hernández, Martín Noé Rangel-Calvillo, Claudia Pérez-Cruz, Karina Corona-Cervantes, Carmen Josefina Juárez-Castelán, Jaime García-Mena

“…Beta diversity and metabolic prediction results suggest homogeneity between sample types. …”
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