Volumetric alterations in auditory and visual subcortical nuclei following perinatal deafness in felines by Alessandra Sacco, Stephen G. Gordon, Stephen G. Lomber

“…In response to sensory deprivation, the brain adapts to efficiently navigate a modified perceptual environment through a process referred to as compensatory crossmodal plasticity, allowing the remaining senses to repurpose deprived regions and networks. …”
Get full text

Can Correct and Incorrect Worked Examples Supersede Worked Examples and Problem-Solving on Learning Linear Equations? An Examination from Cognitive Load and Motivation Perspectives by Bing Hiong Ngu, Ouhao Chen, Huy P. Phan, Hasbee Usop, Philip Nuli Anding

“…A student’s indication of optimal best, reflecting what is known as the ‘realistic–optimal achievement bests dichotomy’, aligns with his or her belief in their ability to perform tasks of varying complexity (simple task vs. complex task). …”
Get full text

Comprehensive treatment of patients with community-acquired pneumonia by N. E. Chernekhovskaya, I. Yu. Korzheva, I. M. Maltseva, A. V. Povalyaev

“…Blood flow fluctuations were determined and the microcirculation efficiency index (MEI) was calculated.Results. All tested microcirculation parameters in patients with pneumonia were lower compared with healthy individuals. …”
Get full text

Conserved structural topologies in RNase A-like and trypsin-like serine proteases: a sequence-based folding analysis by K. M. Ahsanul Kabir, Takuya Takahashi, Takeshi Kikuchi

“…Abstract Background Protein folding is a complex process in which amino acid sequences encode the information required for a polypeptide chain to fold into its functional three-dimensional (3D) structure. …”
Get full text

Preserving the Past: A Dynamic Analysis of Heritage Tourism and Land Conservation in Mamluk Cairo by Amany E. Salem, Ahmed Tawhid Eissa, Thowayeb H. Hassan, Mahmoud I. Saleh

“…The SVC considers operating hours, site capacity, and walking time, while the SVI holistically evaluates time efficiency, spatial distribution, and physical comfort. …”
Get full text

A LiDAR-Based Dual-Vehicle Collaborative Transportation Approach Without Communication by Feng Xie, Haibin Liu, Mingfei Li, Minghao Xia

“…Unlike traditional cooperative control methods reliant on wireless communication, the proposed approach operates efficiently in completely non-communication environments, making it widely applicable to complex or specialized scenarios. …”
Get full text

From Structure to Diagnosis in medical education: An Analysis of Linguistic Features in Iranian Medical Reporting by Mahboub Amani, Nader Asadi, Masoud Zoghi

“…Complex clauses appeared in 60% of the reports, integrating diagnostic observations concisely. …”
Get full text

A comprehensive evaluation of deep vision transformers for road extraction from very-high-resolution satellite data by Jan Bolcek, Mohamed Barakat A. Gibril, Rami Al-Ruzouq, Abdallah Shanableh, Ratiranjan Jena, Nezar Hammouri, Mourtadha Sarhan Sachit, Omid Ghorbanzadeh

“…This study evaluates 11 transformer-based models on three publicly available datasets (DeepGlobe Road Extraction Dataset, SpaceNet-3 Road Network Detection Dataset, and Massachusetts Road Dataset) to assess their performance, efficiency, and complexity in mapping road networks from multicity, multidate, and multisensory VHR optical satellite images. …”
Get full text

Foreword

“… As linguistic research continues to navigate the complex interplay between structure, meaning, and pedagogy, increasing attention is being paid to how languages are learned, represented, and taught across diverse sociocultural contexts. …”
Get full text

Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

“…Educators from various health professions must work together to ensure that scripts generated by AI reflect the complexities and interdependencies of real clinical scenarios. …”
Get full text

Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation by Jian Li, Jian Li, Junrui Kang, Junrui Kang, Jian Lu, Jian Lu, Hongkun Fu, Hongkun Fu, Zheng Li, Zheng Li, Baoqi Liu, Xinglei Lin, Xinglei Lin, Jiawei Zhao, Hengxu Guan, He Liu, Zhihan Liu

“…Future work will optimize computational efficiency and integrate higher-resolution data.…”
Get full text

Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

“…The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diagnostic precision in emergencies, and the classification of complex conditions such as tuberculosis, pneumonia, and COVID-19. …”
Get full text

Establishing 3D organoid models from patient-derived conditionally reprogrammed cells to bridge preclinical and clinical insights in pancreatic cancer by Jin Su Kim, Chan Hee Park, Eunyoung Kim, Hee Seung Lee, Jinyoung Lee, Jeehoon Kim, Eun Hee Kam, Sanghee Nam, Moon Jae Chung, Jeong Youp Park, Seung Woo Park, Sangwoo Kim, Galam Leem, Seungmin Bang

“…Notably, the IC50 values for the 3D organoids were generally higher, reflecting the structural complexity and drug penetration barriers observed in vivo. …”
Get full text

A Finite Element Approach to the Upper-Bound Bearing Capacity of Shallow Foundations Using Zero-Thickness Interfaces by Yu-Lin Lee, Yu-Tang Huang, Chi-Min Lee, Tseng-Hsing Hsu, Ming-Long Zhu

“…The findings confirm the method’s effectiveness in capturing complex failure behavior, providing a practical and accurate tool for geotechnical stability assessment and foundation design.…”
Get full text

Comparative Analysis of Multi-Resolution Remote Sensing Data for Accurate Road Segmentation in Urban Environments by M. R. Çevikalp, B. Mutlu, M. Yanalak, N. Musaoğlu

“…Overall, Pléiades Neo at 30 cm resolution offers the best balance of accuracy and data efficiency for road segmentation.…”
Get full text

Animation Pose Generation Model Based on Kinect Depth Image and Occlusion-Robust Pose-Maps Algorithm by Zhenxi Yu, Ting Wang, Peng Tian, Xuejie Li

“…Aiming at the problem of low efficiency and difficulty in adapting to complex interactive scenes in traditional animation pose generation methods, a dynamic pose generation model based on Kinect depth image and an occlusion robust pose map algorithm is proposed. …”
Get full text

Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…The study offers strong technical support for the intelligent development of gymnastics education. By automatically detecting and analyzing movements, the model can deliver real-time feedback to both teachers and students, helping learners master skills more efficiently and improve performance.…”
Get full text

A deep neural network for adaptive spatial smoothing of task fMRI data by Zhengshi Yang, Xiaowei Zhuang, Mark J. Lowe, Dietmar Cordes, Dietmar Cordes

“…A common preprocessing step in fMRI analysis is spatial smoothing, which helps in detecting cluster-like active regions. The use of a heuristically selected Gaussian filter for spatial smoothing is frequently preferred due to its simplicity and computational efficiency. …”
Get full text

A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…But the limitations are the communication range between the anchor nodes are weak because of its complex infrastructure. In coal mines, gas leaks pose a serious safety risk, often leading to explosions or toxic exposure. …”
Get full text

CFTformer: End-to-End Cross-Frame Multi-Object Tracking With Transformer by Abdollah Amirkhani, Seyed Alireza Khoshnevis

“…Traditional MOT methods typically rely on motion-based and appearance-based similarity information to associate detections across frames. However, the new transformer attention-based approach to MOT has removed the need for complex post-processing steps, such as graph optimization, allowing for end-to-end query tracking across frames. …”
Get full text