Simulation of thermochemical effects on unsteady magneto hydrodynamics fluids flow in two dimensional nonlinear permeable media by Igba Denen Solomon Igba, Idugba Mathias Echi, Vezua Emmanuel Tikyaa

“…Computational results were generated for velocity, temperature, and concentration profiles. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
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Vibration Control of Piezoelectric Cantilever Beam With Physics-Informed Neural Networks by Jiafeng Lao, Yu Chen, Huiyu Li

“…Unlike conventional model-based methods, our approach integrates the Euler-Bernoulli beam dynamics directly into the DRL training process, generating voltage control strategies under physical constraints through joint optimization of data-driven loss and partial differential equation (PDE) residuals. …”
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Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study by Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

“…ObjectiveThis study aims to evaluate the accuracy of LLMs in RoB2 assessments to explore their potential as research assistants for bias evaluation. …”
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NDAWL-PINN: a new non-dimensionalization and multi-task learning approach for efficient training of physics-informed neural networks to solve the shallow water equations by Xin Qi, Dawei Zhang, Fan Wang, Wuxia Bi, Mingda Lu

“…The exploration of deep learning methodologies has recently generated significant interest in the use of Physics-Informed Neural Networks (PINNs) to address complex physical problems governed by partial differential equations (PDEs). …”
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Coal and gas outburst prediction based on data augmentation and neuroevolution. by Wenbing Shi, Ji Huang, Gaoming Yang, Shuzhi Su, Shexiang Jiang

“…The optimal phenotype is obtained in the evolutionary generations. …”
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Geometrical constraints dictate assembly and phenotype of human iPSC-derived motoneuronal spheroids by Eleonora Mello, Stefano Sorrentino, Alessio Bucciarelli, Ermanno Cordelli, Elisa De Luca, Haakon Nygaard, Stefan Wendt, Alberto Rainer, Giuseppe Gigli, Lorenzo Moroni, Alessandro Polini, Pamela Mozetic

“…We then evaluated the differential expression of genes related to cell proliferation and motor-neuron differentiation as function of microwell geometry and spheroid size. …”
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Development platform for artificial pancreas algorithms. by Mohamed Raef Smaoui, Remi Rabasa-Lhoret, Ahmad Haidar

“…Users can easily debug & modify code, test multiple strategies, and generate detailed clinical performance reports. We validated and integrated into the platform a glucoregulatory system of ordinary differential equations (ODEs) parameterized with clinical data to mimic the inter and intra-day variability of glucose responses of 15 T1DM patients.…”
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DMSO-free cryopreservation of hiPSC-derived cardiomyocytes: low temperature characterization and protocol development by Akshat S. Mallya, Tessa Burrows, Jeanne Hsieh, Troy Louwagie, James R. Dutton, Brenda M. Ogle, Allison Hubel

“…Subsequently, biophysical characterization of the cells was performed. A differential evolution (DE) algorithm was utilized to determine the optimal composition of a mixture of a sugar, sugar alcohol and amino acid to replace DMSO as the CPA. …”
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Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening by Zhuo Zhao, Xiaoxu Liu, Yonghui Guan, Chunfang Li, Zheng Wang

“…Based on the differences in cfRNA expression profiles, the Calculated Ground Truth values of the NP and PE groups in the sequencing data were acquired (Calculated PRI). The differential algorithm was embedded in the PSPNet neural network and the network was then trained using the generated dataset. …”
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Innovative treatment of toxic oily petroleum wastewater with magnetic sludge under UVA light by Saeedeh Rastgar, Habibollah Younesi, Hassan Rezeai, Hajar Abyar

“…The experimental work was conducted in a controlled batch system to evaluate the effectiveness of the photocatalyst under varying conditions. …”
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ChatGPT-o1 Preview Outperforms ChatGPT-4 as a Diagnostic Support Tool for Ankle Pain Triage in Emergency Settings by Pooya Hosseini-Monfared, Shayan Amiri, Alireza Mirahmadi, Amirhossein Shahbazi, Aliasghar Alamian, Mohammad Azizi, Seyed Morteza Kazemi

“… Introduction: ChatGPT, a general-purpose language model, is not specifically optimized for medical applications. This study aimed to assess the performance of ChatGPT-4 and o1-preview in generating differential diagnoses for common cases of ankle pain in emergency settings. …”
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A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The method integrates the optimization problem into the Informer model by embedding constraints such as energy efficiency, smoothness, and robustness into its training process using a differentiable optimization layer. …”
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Revitalizing the Epigenome of Adult Jaw Periosteal Cells: Enhancing Diversity in iPSC-Derived Mesenchymal Stem Cells (iMSCs) by Felix Umrath, Valerie Wendt, Gilles Gasparoni, Yasser Narknava, Jörn Walter, Bernd Lethaus, Josefin Weber, Victor Carriel, Meltem Avci-Adali, Dorothea Alexander

“…To assess the safety of the generated cells, we evaluated their ability to form teratomas through subcutaneous injection into immunodeficient mice. …”
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Implications of helium accumulation models in helium-rich basins in China for the enrichment and exploration of helium in coal measures by Yunbo LI, Chengtao WANG, Dangyu SONG, Xiaowei SHI, Rongqi WANG

“…In coal-bearing basins, helium exhibits a prolonged generation period compared to coal-seam hydrocarbons. …”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

“…Five feature selection methods (Lasso, Elastic Net, Random Forest, Support Vector Machine, and Gradient Boosting Machine) were employed to optimize gene sets. Nine machine learning algorithms (Decision Tree, Gradient Boosting Machine, K-Nearest Neighbors, Linear Discriminant Analysis, Logistic Regression, Multilayer Perceptron, Naive Bayes, Random Forest, and Support Vector Machine) were combined with selected features, generating 45 unique model combinations. …”
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Application of dental pulp stem cell-conditioned medium combined with deep cryopreservation of autologous cranial flaps by Ye Liu, Yonghao Liu, Zhifei Ye, Xinxin Wang, Junyi Li, Peter L. Mei, Li Duan, Ben Wang, Chun Xu, Wei Xiong, Yan He, Qingsong Ye

“…Methods Dental pulp stem cells (DPSCs) were cultured in serum-free medium to generate DPSC-CM. To evaluate the preservation efficacy of DPSC-CM, first, DPSC-CM was preliminarily evaluated by examining the cell viability after freezing and resuscitation. …”
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Epicardial Adipose Tissue and Heterogeneity Parameters Combined with Inflammatory Cells to Predict the Value of Heart Failure with Preserved Ejection Fraction Patients Post Myocard... by Yu-jiao Song, Xiao-ying Zhao, Lu-jing Wang, Ting Ning, Ming-tian Chen, Pei Liu, Si-wen Chen, Xin-xiang Zhao

“…Time-dependent ROC curves were generated to evaluate the efficacy of each parameter in predicting HFpEF, the AIC values of each parameter and the final model were calculated to evaluate the predictive performance. …”
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Memory Monitoring Recognition Test (MMRT), a new measurement of stimular source monitoring: Software and comprehension. by Pedro C Martínez-Suárez, José Alejandro Valdevila Figueira, Joselyn M Luna-Cambi, Carlos E Guerrero-Granda, Rocío Valdevila Santiesteban

“…<h4>Background</h4>Reality monitoring allows the evaluation and monitoring of reality through the assignment of information to internal or external sources, which is crucial to differentiate real events from imaginary ones. …”
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Perspectives on minimally invasive treatments using magnetically labeled bone marrow mesenchymal stem cells by Shinobu Yanada

“…Further research is essential to refine their applications and optimize delivery strategies, such as the use of internal magnetic fields generated by magnetized material implanted in damaged knee cartilage, to ensure long-term efficacy and safety.…”
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