Altered model-based prediction error signaling in the lateral orbitofrontal cortex in patients with obsessive-compulsive disorder: An fMRI study by Pritha Sen, Kathrin Koch, Benita Schmitz-Koep, Deniz Gürsel, Franziska Knolle

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LGWheatNet: A Lightweight Wheat Spike Detection Model Based on Multi-Scale Information Fusion by Zhaomei Qiu, Fei Wang, Tingting Li, Chongjun Liu, Xin Jin, Shunhao Qing, Yi Shi, Yuntao Wu, Congbin Liu

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Influence of Urban Morphologies on the Effective Mean Age of Air at Pedestrian Level and Mass Transport Within Urban Canopy Layer by Yuanyuan Lin, Mathias Cehlin, Arman Ameen, Mats Sandberg, Marita Wallhagen

“…In most cases, convective transport dominates the purging process for the whole canopy zone, while turbulent transport prevails for the pedestrian zone. …”
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YOLOv8-eRFD-AP: A Novel Domain Generalization Model for UAV-Based Insulator Inspection Under Adverse Weather Conditions by Badr-Eddine Benelmostafa, Rita Aitelhaj, Hicham Medromi

“…Future research will focus on refining NP strategies for more efficient handling of both uniform and non-uniform distributions, as well as developing a lightweight version optimized for low-power edge computing environments.…”
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AI-based biplane X-ray image-guided method for distal radius fracture reduction by Qing Zha, Qing Zha, Sizhou Shen, Ziyang Ma, Ziyang Ma, Manqiu Yu, Hongzheng Bi, Hongbo Yang, Hongbo Yang

“…The system has been initially deployed on the same computer that operates the radial fracture fracture repositioning robot.ConclusionThe automated parameter calculation method developed in this study accurately computes diagnostic parameters for assessing distal radius fractures and can be utilized in the image-guided reduction process of fracture rehabilitation robots. …”
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A bird song detector for improving bird identification through deep learning: A case study from Doñana by Alba Márquez-Rodríguez, Miguel Ángel Mohedano-Munoz, Manuel J. Marín-Jiménez, Eduardo Santamaría-García, Giulia Bastianelli, Pedro Jordano, Irene Mendoza

“…Our working pipeline included, first, the development of a Bird Song Detector to isolate bird vocalizations, using spectrograms as graphical representations of bird audio data and applying image processing methods. Second, we classified bird species training custom classifiers at the local scale with BirdNET’s embeddings. …”
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Energy Consumption Optimization of Multi-Dimensional U-Nets on CGLA by Duong Thi Sang, Ren Imamura, Tomoya Akabe, Yasuhiko Nakashima

“…The increasing demand for energy-efficient medical image processing has highlighted the limitations of traditional GPU-based solutions, particularly in mobile or remote scenarios where power consumption and computational efficiency are critical. …”
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…The proposed method with state-of-the-art performance can be useful in the computer-aided faster diagnosis of tuberculosis.…”
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Ensuring Seismic Resistance of Reinforced Concrete Buildings by O. V. Mkrtychev, A. A. Reshchetov

“…External seismic action is represented as a non-stationary random process. The external seismic action is considered as a non-stationary random process, which is obtained by multiplying the stationary random process by a deterministic envelope function. …”
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Mathematical model of the formation of the basic statistical sample for evaluating the level of the digital competence of lecturers by Svetlana V. Avilkina, Marina A. Bakuleva, Nadezhda P. Kleynosova

“…On the basis of this model statistical analysis of the human resources of the region in the aspect of formation of knowledge and abilities in the field of information and computer technologies can be carried out. This model can be used for information processing about testing of different groups: pedagogical employees, public and municipal officers. …”
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Dual-stream dynamic graph structure network for document-level relation extraction by Yu Zhong, Bo Shen

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Comparative analysis of NLP-driven MCQ generators from text sources by Asmae Azzi, Ferenc Erdős, Richárd Németh, Vijayakumar Varadarajan, Stephen Afrifa

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The Development of Small-Scale Language Models for Low-Resource Languages, with a Focus on Kazakh and Direct Preference Optimization by Nurgali Kadyrbek, Zhanseit Tuimebayev, Madina Mansurova, Vítor Viegas

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A Comprehensive Evaluation of Embedding Models and LLMs for IR and QA Across English and Italian by Ermelinda Oro, Francesco Maria Granata, Massimo Ruffolo

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LPITutor: an LLM based personalized intelligent tutoring system using RAG and prompt engineering by Zhensheng Liu, Prateek Agrawal, Saurabh Singhal, Vishu Madaan, Mohit Kumar, Pawan Kumar Verma

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Enhancing task execution: a dual-layer approach with multi-queue adaptive priority scheduling by Mansoor Iqbal, Muhammad Umar Shafiq, Shouzab Khan, Obaidullah, Saad Alahmari, Zahid Ullah

“…Efficient task execution is critical to optimize the usage of computing resources in process scheduling. Various task scheduling algorithms ensure optimized and efficient use of computing resources. …”
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Multiclass Evaluation of Vision Transformers for Industrial Welding Defect Detection by Antonio Contreras Ortiz, Ricardo Rioda Santiago, Daniel E. Hernandez, Miguel Lopez-Montiel

“…While welding tasks are frequently automated, inspection processes remain largely manual. Advances in computer vision and AI, especially ViTs, now enable more effective defect detection and classification, offering opportunities to automate these workflows. …”
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Development Prospects of Education System in Russia by E. A. Yarnykh, L. A. Davletshina, G. V. Agentova

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A New Efficient Approach to Model Stiff Biogeochemical Reactive Transport Scenarios Across Groundwater Systems by Xiaochuang Bu, Heng Dai, Songhu Yuan, Ming Ye, Zhenxue Dai, Mohamad Reza Soltanian, Zhang Wen, Alberto Guadagnini

“…The inherent stiffness of these models, within which bio‐geochemical reactions and transport processes take place simultaneously across diverse time scales, poses significant computational challenges. …”
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Signatures of Perseveration and Heuristic-Based Directed Exploration in Two-Step Sequential Decision Task Behaviour by Angela Mariele Brands, David Mathar, Jan Peters

“…Processes formalized in classic Reinforcement Learning (RL) theory, such as model-based (MB) control, habit formation, and exploration have proven fertile in cognitive and computational neuroscience, as well as computational psychiatry. …”
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