Evaluating the Performance of Large Language Models on the CONACEM Anesthesiology Certification Exam: A Comparison with Human Participants by Fernando R. Altermatt, Andres Neyem, Nicolás I. Sumonte, Ignacio Villagrán, Marcelo Mendoza, Hector J. Lacassie

“…Item difficulty significantly predicted the model accuracy, while discrimination did not. …”
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Numerical Simulation of Multi-Cluster Fracture Propagation in Marine Natural Gas Hydrate Reservoirs by Lisha Liao, Youkeren An, Jinshan Wang, Yiqun Zhang, Lerui Liu, Meihua Chen, Yiming Gao, Jiayi Han

“…Multi-cluster fracturing technology can enhance reservoir permeability, yet complex properties of hydrate sediments render the prediction of fracture behavior challenging. Therefore, we developed a three-dimensional (3D) fluid–solid coupling model for hydraulic fracturing in NGH reservoirs based on cohesive elements to analyze the effects of sediment plasticity, hydrate saturation, fracturing fluid viscosity, and injection rate, as well as the stress interference mechanisms in multi-cluster simultaneous fracturing under different cluster spacings. …”
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Magnetic Resonance Imaging (MRI) of Spanish Sheep Cheese: A Study on the Relationships between Ripening Times, Geographical Origins, Textural Parameters, and MRI Parameters by José Segura, María Encarnación Fernández-Valle, Karen Paola Cruz-Díaz, María Dolores Romero-de-Ávila, David Castejón, Víctor Remiro, María Isabel Cambero

“…Therefore, these results support that MRI is a useful technology to monitor the ripening process, predict textural behavior and physicochemical variables, and characterize the structure of different varieties of sheep cheese.…”
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STPam: Software for Intelligently Analyzing and Mining Spatiotemporal Processes Based on Multi-Source Big Data by Rongjun Xiong, Zeqiang Chen, Huiwen Pan, Dongyang Liu, Aiguo Sun, Nengcheng Chen

“…It finds applications in various fields such as natural disaster evolution, environmental pollution, and human behavior prediction. However, training spatiotemporal models based on big data is time-consuming, and the traditional physical models and static objects used in existing geographic data analysis software have limitations in mining efficiency and simulation accuracy for dynamic spatiotemporal processes. …”
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Assessment of Classical Force-Fields for Graphene Mechanics by Zhiwei Ma, Yongkang Tan, Xintian Cai, Xue Chen, Tan Shi, Jianfeng Jin, Yifang Ouyang, Qing Peng

“…Molecular dynamics simulation is a well-established and useful tool for investigating graphene’s atomic structure and dynamic behavior at the nanoscale without requiring expensive and complex experiments. …”
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Research hotspots and trends in the interaction mechanisms of neuroinflammation and sleep disorders: A bibliometric analysis based on WOS by Nan Zhao, Zhao-qiong Zhu, Qihai Gong, Rui Jiang

“…The International Journal on Molecular Sciences and Brain Behavior and Immunity are the journals with the highest publication volume. …”
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Manipulation mechanisms of bubble aggregation and evolution in inertial cavitation fields by Rui Liu, Jing Hu, Yaorong Wu, Shi Chen, Chenghui Wang, Runyang Mo, Jianzhong Guo, Shuyu Lin

“…As a result, it was found the key factors to affect the interactions are the ratio of acoustic pressure to hydrostatic pressure, hydrostatic pressure, and acoustic frequency. Our theoretical predictions can provide support for optimizing the cavitation behavior of bubble populations at high hydrostatic pressures.…”
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Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Abstract Predicting the hydrological response of watersheds to climate disturbances requires a detailed understanding of the processes connecting hillslopes and streams. …”
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Consistent individual positions within roosts in Spix’s disc-winged bats by Giacomini, Giada, Chaves-Ramírez, Silvia, Hernández-Pinsón, H. Andrés, Barrantes, José Pablo, Chaverri, Gloriana

“…Individuals within both moving and stationary groups arrange themselves in a predictable manner; for example, some individuals are consistently found at the front of the group or in the periphery and others in the center. …”
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Flood analysis comparison with probability density functions and a stochastic weather generator by Israel García-Ledesma, Jaime Madrigal, Jesús Pardo-Loaiza, Joel Hernández-Bedolla, Constantino Domínguez-Sánchez, Sonia Tatiana Sánchez-Quispe

“…Flood prediction has become essential to hydrology and natural disaster management due to the increasing frequency and severity of extreme hydrological events driven by climate change. …”
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The impact of online food delivery applications on dietary pattern disruption in the Arab region by Radwan Qasrawi, Radwan Qasrawi, Suliman Thwib, Ghada Issa, Malak Amro, Razan AbuGhoush, Maha Hoteit, Maha Hoteit, Sahar Khairy, Narmeen Jamal Al-Awwad, Narmeen Jamal Al-Awwad, Khlood Bookari, Sabika Allehdan, Dalal Alkazemi, Haleama Al Sabbah, Salima Al Maamari, Asma H. Malkawi, Reema Tayyem

“…BackgroundWhile online food delivery applications (OFDAs) offer convenient food accessibility, their impact on dietary behaviors remains insufficiently explored, especially in the Arab region. …”
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Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach [version 1; peer review: 2 approved] by Kayode A. Adewale, Kabir Oluwatobi Idowu, Stella Oluwakemi Olatunbosun, Nurudeen Babatunde Bamiro, Owolabi Paul Adelana, Musa Adekunle Ayanwale

“…Methods We adopted a hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Networks (ANN) to uncover both linear and nonlinear dynamics influencing behavioral intention (BI) of 260 Nigerian in-service teachers regarding ChatGPT after participating in structured training. …”
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A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning by Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan

“…Emotions play a pivotal role in shaping human decision-making, behavior, and physiological well-being. Electroencephalography (EEG)-based emotion recognition offers promising avenues for real-time self-monitoring and affective computing applications. …”
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Exploring concentration-dependent transport properties on an unsteady Riga plate by incorporating thermal radiation with activation energy and gyrotactic microorganisms by Ali Naim Ben, Mahmood Zafar, Rafique Khadija, Khan Umar, Adnan, Muhammad Taseer, Kolsi Lioua

“…The system’s anticipated physical behavior is compared to Mathematica’s Runge–Kutta–Fehlberg numerical solution. …”
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Probing the effects of broken symmetries in machine learning by Marcel F Langer, Sergey N Pozdnyakov, Michele Ceriotti

“…Even for extrapolative gas-phase predictions, the model remains very stable, even though symmetry artifacts are noticeable. …”
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Evaluating biodegradable alternatives to petroleum-based phase change materials in enclosed cavity heat transfer by Abdullah Aziz, Eiyad Abu-Nada, Anas Alazzam

“…The results showed that paraffin wax exhibits faster melting due to lower viscosity and thermal conductivity, but also more unstable convective behavior. Beeswax, in contrast, displayed slower yet more uniform melting with greater thermal stability. …”
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Fabrication, Modeling, and Design of Position and Pressure Control System of a Soft Pneumatic Linear Actuator by Leandro Seiti Goia, Diego Colon, Alexandre Brincalepe Campo

“…A Finite Element Method dynamic analysis was performed, using the SIMULIA Abaqus software, to predict the actuator’s behavior. From the definition of the geometry, molds composed of modular pieces were designed and 3D printed to fabricate the actuator prototype. …”
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Effect of dynamic coupling in an inferior olive neuron model and synchronization by M. R. Tchuisseuh, P. Guemkam Ghomsi, A. C. Chamgoué, F. M. Moukam Kakmeni

“…This type of coupling is called dynamic coupling and enables us to take into consideration the state of the medium through which the master and slave are interconnected. The dynamical behavior of the new model is analyzed analytically using limit cycle prediction and numerically via the two-dimensional bifurcation diagrams with respect to two essential bifurcation parameters of the model. …”
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In SILICO Characterization of Technetium-99M Radiotracers: ADMET Properties and Protein Interaction Profiles by V. Trusova, U. Malovytsia, P. Kuznietsov, I. Yakymenko, G. Gorbenko

“…The rational design of technetium-99m (99mTc)-based radiopharmaceuticals requires a nuanced understanding of how physicochemical properties influence in vivo behavior and molecular interactions. In this study, we employed an integrated in silico framework to characterize ten clinically relevant 99mTc-labeled tracers using ADMET prediction, molecular docking with functional proteins (albumin, insulin, lysozyme), and multivariate statistical analysis. …”
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A comprehensive design schedule for electrosprayed thin films with different surface morphologies by S. W. Karuga, E. M. Kelder, M. J. Gatari, M. J. Gatari, J. C. M. Marijnissen

“…Results show three distinct surface morphologies, porous with agglomerates, porous reticular, and dense particulate morphologies, and they agree with the predictions of the developed design schedule.</p>…”
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