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 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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Activation of three targets by a TAL effector confers susceptibility to bacterial blight of cotton by Brendan W. Mormile, Yan Yan, Taran Bauer, Li Wang, Rachel C. Rivero, Sara C. D. Carpenter, Catherine Danmaigona Clement, Kevin L. Cox, Lin Zhang, Xiyu Ma, Terry A. Wheeler, Jane K. Dever, Ping He, Adam J. Bogdanove, Libo Shan

“…Transcriptome profiling coupled with TALE-binding element prediction identify a pectin lyase gene as an additional Tal7b target, quantitatively contributing to Xcm virulence alongside GhSWEET14a/b. …”
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Assessing how pro-environmental perspectives impact participation in rooftop organic agriculture in urban neighborhoods by Mohammad Enamul Hoque, Abdullah Al Mamun, Perengki Susanto

“…Strong intentions could promote and predict the adoption of organic food production in rooftop gardens. …”
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Towards a decision support system for post bariatric hypoglycaemia: development of forecasting algorithms in unrestricted daily-life conditions by Francesco Prendin, Olivia Streicher, Giacomo Cappon, Eva Rolfes, David Herzig, Lia Bally, Andrea Facchinetti

“…In this study, the run-to-run rAR yielded most satisfactory results with accurate PBH event predictive capacity and few false alarms, thereby indicating potential for the development of DSS for people with PBH.…”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…However, the performance improved significantly after integrating the four models with Bayesian optimization (all models had R² > 0.56), which realized quantitative prediction capabilities for nitrate leaching loss concentrations. …”
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Deciphering the multifaceted mechanism of Shuang Huang Lian in treating upper respiratory tract infections: A metabolomics-based network pharmacology approach by Gang Xu, Akshay Suresh Patil, Ruhan Wei, Dan Liu, Aimin Zhou, Yan Xu

“…Key cheminformatics and bioinformatics platforms and databases, including ADMETlab, SEA, PASS, Super-Pred, SwissTargetPrediction, PharmMapper, and GeneCards, were used to predict the drug-like properties of active SHL components and identify protein targets shared between the active SHL components and the URTI-related disease genes. …”
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cfDNA as a surrogate marker for COVID-19 severity in patients with influenza-like symptoms with and without SARS-CoV-2 infections in general practice: a study protocol for a prospe... by Dorothea Dehnen, Elmo Neuberger, Jürgen in der Schmitten, Ekaterini Giagkou, Perikles Simon, Suzan Botzenhardt

“…Laboratory values of SARS-CoV-2 patients such as lymphocyte counts or C-reactive protein (CRP) do not allow a prediction of the actual course of the disease. To identify a possible predictive marker for the differentiation and prognosis of illness with influenza-like symptoms with and without SARS-CoV-2 infections in general practice, we will analyse the concentrations of cell-free DNA (cfDNA) levels, laboratory and clinical parameters, temperature, oxygen saturation, breathing rate and concomitant symptoms in patients with flu-like symptoms with and without a SARS-CoV-2 infection.Methods and analysis This is a single-centre, two-arm, parallel longitudinal cohort study with a total of 44 patients. 22 patients with flu-like symptoms without a SARS-CoV-2 infection and 22 patients with flu-like symptoms with a SARS-CoV-2 infection will be recruited. …”
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