Apprehension toward generative artificial intelligence in healthcare: a multinational study among health sciences students by Malik Sallam, Malik Sallam, Malik Sallam, Kholoud Al-Mahzoum, Haya Alaraji, Noor Albayati, Shahad Alenzei, Fai AlFarhan, Aisha Alkandari, Sarah Alkhaldi, Noor Alhaider, Dimah Al-Zubaidi, Fatma Shammari, Mohammad Salahaldeen, Mohammad Salahaldeen, Aya Saleh Slehat, Maad M. Mijwil, Maad M. Mijwil, Doaa H. Abdelaziz, Doaa H. Abdelaziz, Ahmad Samed Al-Adwan

“…The study also explored the extent of apprehension among HSSs regarding genAI integration into their future careers.MethodsThe study was based on a self-administered online questionnaire distributed using convenience sampling. …”
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Dual-stream hybrid architecture with adaptive multi-scale boundary-aware mechanisms for robust urban change detection in smart cities by Israr Ahmad, Fengjun Shang, Muhammad Salman Pathan, Ahsan Wajahat, Yun-Su Kim

“…In comparison with existing methods, DSHA outperformed the existing state-of-the-art methods on the benchmark dataset. …”
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A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering by Zhongzhe Chen, Xing Gao

“…Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised context. …”
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A microchip for exosome isolation that can be impregnated with imatinib simultaneously: an in vitro analysis by Amir Monfaredan, Fakher Rahim, Gholamreza Tavoosidana, Mohammad Hossein Modarressi, Alaviyehsadat Hosseininasab, Ali-Akbar Aghajani-Afrouzi, Mahdi Shafiee Sabet, Elahe Motevaseli

“…Background and Aims — Exosomes, which are tiny double-layered membranes originating from eukaryotic cells, have been recognized as a valuable natural vehicle for delivering substances because of their optimal size, compatibility with living organisms, strong structure, ability to carry a large amount of cargo, and capacity to be modified on their surface. Methods — Various strategies have been employed to isolate exosomes due to the challenges associated with maintaining their high purity. …”
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A recursive framework of vehicle trajectory planning at mixed‐traffic signalized intersections by Menglin Yang, Hao Yu, Pan Liu

“…Besides, the recomputing of CAV trajectories will only be conducted when the variation in predictions rises to a certain threshold, balancing efficiency and computing consumption, inspired and modified based on MPC methods. …”
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Depth Perception Based on the Interaction of Binocular Disparity and Motion Parallax Cues in Three-Dimensional Space by Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai, Jinyuan Liu, Yanfei Wang, Hiroaki Shigemasu

“…By integrating these two cues, several types of models for depth perception are summarized: the weak fusion (WF) model, the modified weak fusion (MWF) model, the strong fusion (SF) model, and the intrinsic constraint (IC) model. …”
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Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

“…These elements are integrated to enhance population diversity and improve global exploration capabilities. …”
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A Versatile Gyro Inclinometer, Adaptive to the Borehole Trajectory, Based on a Uniaxial Angular Rate Sensor by Ya. I. Binder, I. A. Khazov

“…The properties of orientation errors are examined using linearization methods, integral calculus, fundamentals of the calculus of variations, and the theory of linear differential equations.Results. …”
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Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Our proposed neuron model, implemented in fully connected and convolutional layers, achieves over 95% classification accuracy on the MNIST and Fashion MNIST datasets using a modified spike-based backpropagation method. With nanosecond latency, these spiking neuron devices, when integrated with CMOS, pave the way for high-density, energy-efficient neuromorphic computing hardware.…”
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Semi-Supervised Deep Subspace Embedding for Binary Classification of Sella Turcica by Kaushlesh Singh Shakya, Azadeh Alavi, Julie Porteous, Priti Khatri, Amit Laddi, Manojkumar Jaiswal, Vinay Kumar

“…Moreover, existing semi-supervised learning (SSL) methods face key limitations such as shift invariance, inadequate feature representation, overfitting on small datasets, and a lack of generalization to unseen variations in ST morphology. …”
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Assimilation of INSAT-3D imager retrieved aerosol optical depth for enhanced dust storm prediction using WRF-Chem model by Aman W Khan, Dilip Ganguly, Sagnik Dey, Atul Kumar Varma, Prashant Kumar

“…The Gridpoint Statistical Interpolation (GSI) three-dimensional variational (3DVAR) method was utilized for data assimilation, with simulations performed for 144 h, adjusting for uncertainties in the model’s background error covariance using different inflation factors. …”
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Evaluation of Strength Model Under Deep Formations with High Temperature and High Pressure by Fei Gao, Yan Zhang, Yuelong Liu, Hui Zhang

“…A comparative analysis of failure criteria demonstrates hierarchical predictive performance: the Hoek–Brown (HB) criterion achieves superior temperature-dependent strength prediction fidelity, outperforming the modified Griffith (MGC), Mohr–Lade (ML), and modified Wiebols–Cook (MWC) criteria by 12–18% in accuracy metrics. …”
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‘Nous fêterons’ or ‘On va fêter’? by Valerie Hekkel, Friederike Schulz, Marta Lupica Spagnolo

“…These findings highlight the potential and limitations of current LLMs in capturing age-specific variation while encouraging further integration of sociolinguistic methods into LLM research. …”
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Research on Climate Drivers of Ecosystem Services’ Value Loss Offset in the Qinghai–Tibet Plateau Based on Explainable Deep Learning by Wenshu Liu, Chang You, Jingbiao Yang

“…To address these challenges, this study focuses on the QTP and employs a modified ESV loss deviation model, integrated with explainable deep learning techniques (LSTM-SHAP), to quantify and analyze ESV loss deviations and their climate drivers from 1990 to 2030. …”
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Mathematical modelling of cerebral haemodynamics and their effects on ICP by Ka Hing Chu, Ihsane Olakorede, Erta Beqiri, Marek Czosnyka, Peter Smielewski

“…Introduction: Electrical-equivalence mathematical models that integrate vascular and cerebrospinal fluid (CSF) compartments perform well in simulations of dynamic cerebrovascular variations and their transient effects on intracranial pressure (ICP). …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…To address this issue, we propose the high-resolution U-shaped mamba network (HRUMamba), which integrates multiple innovations to enhance segmentation performance under imbalanced conditions. …”
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Selection and appointment of presidents of medical universities in Iran: Bridging reality and ideal through global and local evidence. by Leila Doshmangir, Mohammadhossein Somi, Sajad Lak, Neda Kabiri, Hossein Ebrahimipour, Omid Barati, Mohammadreza Amiresmaili, Mohammad Bazyar

“…Interviews conducted from September 2024 to November 2024, were carried out with stakeholders from a diverse range, including university presidents, health ministers, healthcare managers, decision-makers, faculty members and key planners within the academic sector, whom were selected using purposive sampling method with maximum variation. A question guide was used, the main question of which included: essential characteristics and competencies of university president, prioritized criteria for decision making, feasibility of evidence-based decision-making, the process of selecting and appointing university presidents, and the strengths and weaknesses of this process. …”
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A qualitative study of how clinicians reach agreement in perioperative pathway development: the Consensus Model for Standardising Healthcare by Lisa Pagano, Janet C. Long, Emilie Francis-Auton, Andrew Hirschhorn, Gaston Arnolda, Jeffrey Braithwaite, Mitchell N. Sarkies

“…Specifically, we 1) describe how local consensus discussions are operationalised; 2) identify what guides decision making and consensus between clinicians; and 3) formulate explanatory mechanisms and identify determinants that facilitate consensus discussions. Methods A qualitative, modified grounded theory study was conducted in one private hospital in metropolitan Sydney, Australia. …”
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Performance assessment of basalt fibre concrete under freeze-thaw cycles using hybrid long short-term memory models by Qingguo Yang, Honghu Wang, Qigui Yi, Liuyuan Zeng, Rui Xiang, Longfei Guan, Jiawei Cheng, Keling Chen, Yunhao Li

“…The results demonstrate that swarm intelligence optimization algorithms (SIOA) significantly enhance the prediction accuracy and stability of the LSTM model. The two modified particle swarm optimization algorithms showed notable improvements: AsyLnCPSO performed well on the training set but exhibited limited adaptability to overall data variations, while the GA-HIDMS-PSO excelled in high-dimensional and complex constraint problems, demonstrating the strongest stability with a fitting accuracy of 0.938, significantly improving the prediction accuracy of concrete performance under FTCs. …”
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Comprehensive Analysis of a Parcel-Level Crop Mapping (PARCM) Framework From the Perspective of Spatial Heterogeneity and Spatiotemporal Transferability by Chen Wang, Jiaqi Chen, Cheng Cai, Mengyu Liu, Ziming Wang, Haoyu Zhang, Huanxue Zhang

“…For PARCM, a rule-based fusion method was designed to integrate two core procedures: pixel-level crop mapping (PIXCM) using random forest and agricultural parcel extraction using a modified recurrent residual U-Net. …”
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