Measurement of the accuracy of dental working casts using a coordinate measuring machine by Potran Michal, Štrbac Branko, Puškar Tatjana, Hadžistević Miodrag, Hodolič Janko, Trifković Branka

“…[Projekat Ministarstva nauke Republike Srbije, br. TR 35020: Research and development of modelling methods and approaches in manufacturing of dental recoveries with the application of modern technologies and computer aided systems]…”
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Transformer-based travel time estimation method for plateau and mountainous environments by Guangjun Qu, Kefa Zhou, Rui Wang, Dong Li, Yingpeng Lu, Zhihong Lv, Dequan Zhao, Aijun Zhang, Qing Zhang

“…Abstract Travel time estimation (TTE) is a critical function in intelligent driving systems. Current research and applications related to TTE primarily focus on urban environments. …”
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EEG Baseline Analysis for Effective Extraction of P300 Event-Related Potentials for Welfare Interfaces by Yuta Sasatake, Kojiro Matsushita

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Assessment of seasonal soil moisture forecasts over the Central Mediterranean by L. Silvestri, M. Saraceni, B. Brunone, S. Meniconi, G. Passadore, P. Bongioannini Cerlini

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Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

“…These findings offer valuable insight into the neural mechanisms supporting inhibition and provide avenues for future research on the neural underpinnings of this critical cognitive function across the lifespan.…”
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Establishment of predictive models for head loss and filtration efficiency of pontoon mesh rotary filter based on dimension analysis by Zhen Jin, Lingwei Chen, Qiao Li, Mahemujiang Aihemaiti, Youwei Jiang, Hongfei Tao

“…In this study, we used a pre-pump filter-pontoon mesh rotary filter as the research object and conducted physical model tests under the flow rate (798–1050 L1 h−1), sand content (0.5–2.5 g1 L−1), and aperture of the filter screen (0.125–0.180 mm). …”
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Evaluation of landslide susceptibility in a hill city of Sikkim Himalaya with the perspective of hybrid modelling techniques by Harjeet Kaur, Srimanta Gupta, Surya Parkash, Raju Thapa, Arindam Gupta, G. C. Khanal

“…The primary objectives of the research work are to carry out a comprehensive analysis by quantifying the landslide susceptibility using an integrated approach of random forest (RF) with the probabilistic likelihood ratio (RF-PLR), fuzzy logic (FL) and index of entropy (IOE) in Gangtok city of Sikkim state, India. …”
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Effects of dynapenia and excess body weight in patients with ulcerative colitis by Galiya R. Bicbavova, Oksana M. Drapkina, Maria A. Livzan, Natalia S. Lisyutenko, Alisa E. Romanyuk

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Study on Seasonal Permafrost Roadbed Deformation Based on Water–Heat Coupling Characteristics by Bo Lu, Wen Zhao, Shengang Li, Manman Dong, Zhikang Xia, Yunfang Shi

“…Subsequently, the frost heave and thaw settlement deformations of the roadbed were calculated, accounting for seasonal variations, thereby gaining insights into their dynamic behavior. The research results show that during the process of freezing and thawing, water migrates from the frozen zone towards the unfrozen zone, with the maximum migration amount reaching 20% of the water content, culminating in its accumulation at the interface separating the two. …”
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Study and Verification of a Physical Simulation System for Formation Pressure Testing while Drilling by Tianshou Ma, Nian Peng, Ping Chen, Chunhe Yang, Xingming Wang, Xiong Han

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Sustainable Optimization of the Injection Molding Process Using Particle Swarm Optimization (PSO) by Yung-Tsan Jou, Hsueh-Lin Chang, Riana Magdalena Silitonga

“…Experimental validation confirmed that the optimized parameters decreased energy use by 28% and material waste by 35% while consistently producing parts within specifications. This research provides manufacturers with a practical, scalable solution that transforms injection molding from an experience-dependent craft to a data-driven science. …”
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Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net by Mingkang Sun, Xiang Li, Weiye Sun

“…However, when processing clinical medical imaging data with different characteristics or information collected from different sensors or modalities, that is, multi-modal imaging data, the segmentation accuracy is low. Therefore, the research is based on generative adversarial networks and three-dimensional residual U-shaped networks to study brain tumor and stroke image generation and lesion segmentation. …”
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High-Level Synthesis: Productivity, Performance, and Software Constraints by Yun Liang, Kyle Rupnow, Yinan Li, Dongbo Min, Minh N. Do, Deming Chen

“…Such tools reduce design effort: high-level descriptions are more compact and less error prone. HLS tools promise hardware development abstracted from software designer knowledge of the implementation platform. …”
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Tidal Volume Monitoring via Surface Motions of the Upper Body—A Pilot Study of an Artificial Intelligence Approach by Bernhard Laufer, Tamer Abdulbaki Alshirbaji, Paul David Docherty, Nour Aldeen Jalal, Sabine Krueger-Ziolek, Knut Moeller

“…The improvement of measurement technology through new, improved sensor systems and the use of artificial intelligence have given this field of research a new dynamic in recent years and opened up new possibilities. …”
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SpecTE: Parameter Estimation for LAMOST Low-resolution Stellar Spectra Based on Denoising Pretraining by Xirong Zhao, Xiangru Li, Hui Li, Xianqi Liu

“…The estimated stellar catalog, code, pretrained model, and experimental data are released online for astronomical exploration and algorithm research.…”
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Constrained Adaptive Weighted Particle Swarm Optimization (C-AWPSO) Algorithm for Dipping Fault Parameter Inversion by Shiquan Su, Juntao Liang, Chuang Xu, Feiyu Zhang, Hangtao Yu

“…In practical cases, the inversion accuracy of this method is improved by at least 64.4%, and the predicted gravity anomaly curve is closer to the observed data. The research findings are as follows: (1) The linearly decreasing inertia weight strategy performs best in terms of convergence efficiency and global search capability; (2) among the fault parameters, the top-layer center depth <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>z</mi></mrow></semantics></math></inline-formula> and bottom-layer center depth <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>w</mi></mrow></semantics></math></inline-formula> show higher sensitivity, and the inversion results for these parameters are more stable, which is beneficial for determining the depth information of faults; (3) introducing L2 regularization and penalty terms as constraints significantly improves the inversion stability, and among these, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>z</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>w</mi></mrow></semantics></math></inline-formula> have a particularly notable impact on the error.…”
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Translation and cultural adaption of MacLeod Clark professional identity scale among Chinese therapy students. by Xiaoyi Shu, Chun Feng, Chak-Lam Ip, Xin Zhang, Nan Yang, Shibo Li, Jia Han, Weibing Wu, Alec Knight

“…<h4>Conclusions</h4>The Chinese MCPIS-9 is a reliable and valid tool for assessing PI among therapy students. Future research could focus on refining item 4 of this tool, potentially through further exploration of therapy students' perceptions of PI within the unique context of the Chinese healthcare system.…”
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IonoBench: Evaluating Spatiotemporal Models for Ionospheric Forecasting Under Solar-Balanced and Storm-Aware Conditions by Mert Can Turkmen, Yee Hui Lee, Eng Leong Tan

“…With IonoBench, we aim to provide an open-source foundation for reproducible comparisons, supporting more meticulous model evaluation and helping to bridge the gap between ionospheric research and modern spatiotemporal deep learning.…”
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A Deep Learning Approach for Extracting Cyanobacterial Blooms in Eutrophic Lakes From Satellite Imagery by Nan Wang, Zhenyu Tan, Chen Yang, Jinge Ma, Hongtao Duan

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Blast loading prediction in a typical urban environment based on Bayesian deep learning by Weiwen Peng, Meilin Pan, Chunjiang Leng, Shufei Wang, Wei Zhong

“…The results show that the Bayesian deep learning-based prediction model can fulfil the blast loading prediction in this typical urban environment within 2.9 millisecond, and the mean absolute percentage error of blast loading prediction is controlled below 12.9%. …”
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