Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…This approach aims to learn and transfer the capability of zero-shot stance detection and reasoning analysis from relevant data. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In recent years, a large number of studies have been conducted using deep learning models on epileptic open electroencephalogram (EEG) datasets with good results, but due to individual differences there are still some subjects whose seizure features cannot be accurately captured and are more difficult to differentiate, with poor prediction results. …”
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Living Group Mosaic Family: participation of people with disabilities in the community by Marta Aoki, Fátima Correa Oliver, Ariane Bazarin de Campos Cancegliero, Júlia Colussi

“…Joining the group promoted emotional changes, discoveries of skills, promotion of care and learning, self-esteem and communication improvement among participants. …”
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Staff Management in Social Security Hospitals in Tehran: Challenges and Solutions by Asra Khalili, Ali Mohammad Mosadegh Rad, SHahram Ghafary, Ebrahim Jaafaripooyan

“…Proposed solutions, classified into five main groups and 29 subgroups, encompassed: enhancing recruitment and hiring processes, fostering a dynamic organizational culture, improving human resource productivity and efficiency, transforming hospitals into learning organizations, providing comprehensive and effective training, and increasing transparency in rules and regulations, particularly in job descriptions. …”
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LLM-based collaborative programming: impact on students’ computational thinking and self-efficacy by Yi-Miao Yan, Chuang-Qi Chen, Yang-Bang Hu, Xin-Dong Ye

“…Despite this, the study remains optimistic about the potential of LLM-enhanced collaborative programming, as students learning in this way exhibit lower cognitive load than those in conventional environments.…”
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JOB DESIGN IN THE FUNCTION OF IMPROVING THE JOB PERFORMANCE OF THE EMPLOYEES IN BOSNIA AND HERZEGOVINIAN COMPANIES by Alma Kovačević, Adisa Delić

“…New ways are sought to build and preserve competitive advantages, thus recognising that knowledge and learning are the key factors of success in the new economy. …”
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‘A wound that aches yet isn’t felt ... a pain that rages without hurting’: Getting to know the identity of outsourced housekeepers through the bond of memory and social class by Viviani Teodoro dos Santos, Marivânia Conceição de Araújo, Marcio Pascoal Cassandre

“…In order to do so, we used the perspective of memory as an aid in the process of revelation and constituent element of identities, as well as the context of social class to seek the understanding of the reality learned in the field. As methodological procedures, we used a semi-structured interview with the cleaning team supervisor, two focus groups, individual narrative interviews with the eight housekeepers and a brief period of participant observation. …”
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Examining authorship in publications in selected health professions education journals by Anusmriti Guragain, Pathiyil Ravi Shankar, Ian G. Wilson

“…The Scopus quartile one (Q1) journals Academic Medicine, BMC Medical Education, Medical Education, Medical Education Online, Medical Teacher, and Teaching and Learning in Medicine were examined. The year of publication, the type of article, and the income status of the country of the first author were noted. …”
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Design and modeling of a nanocomposite system for demineralization of sweet whey by Mina Rezapour, Mohsen Esmaiili, Mehdi Mahmoudian, Alireza Behrooz Sarand

“…The dynamic flux behavior of whey output and salt rejection from whey was modeled using convolutional neural network (CNN) machine learning tools. Linear and non-linear correlations demonstrated that the CNN model correlates well with experimental data on dynamic flux (R2–1.00). …”
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Quantum-inspired K-nearest neighbors classifier for enhanced printer source identification in forensic document analysis by Saad M. Darwish, Raad A. Ali, Adel A. Elzoghabi

“…However, identifying consistent patterns across different printers remains challenging, especially when perpetrators attempt to obscure these artifacts. Machine learning models in this field must identify discriminative features that differentiate printers while minimizing noise. …”
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DFTD-YOLO: Lightweight Multi-Target Detection From Unmanned Aerial Vehicle Viewpoints by Yuteng Chen, Zhaoguang Liu

“…Due to the low detection accuracy of small and dense target objects in multi-target detection tasks from the unmanned aerial vehicle (UAV) perspective and the deployment of deep learning models for UAVs as embedded devices, these models must be lightweight. …”
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Effect of 1-month laughter yoga training on verbal working memory in visually impaired schoolchildren by Anchal Sharma, Moradhvaj Singh

“…Verbal WM plays a pivotal role in cognitive development, particularly for individuals with visual impairments who rely heavily on auditory information for learning and navigation. Verbal memory is essential for language acquisition, comprehension of instructions, and retention of academic content. …”
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MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

“…Furthermore, the adaptive cross-modality feature fusion module aligns video and language information by using object relationship knowledge as guidance to learn vision-language representation. Finally, the future event description generation module decodes the fused information and generates the language description of the next event. …”
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Robot Dynamic Path Planning Based on Prioritized Experience Replay and LSTM Network by Hongqi Li, Peisi Zhong, Li Liu, Xiao Wang, Mei Liu, Jie Yuan

“…To address the issues of slow convergence speed, poor dynamic adaptability, and path redundancy in the Double Deep Q Network (DDQN) within complex obstacle environments, this paper proposes an enhanced algorithm within the deep reinforcement learning framework. This algorithm, termed LPDDQN, integrates Prioritized Experience Replay (PER) and the Long Short Term Memory (LSTM) network to improve upon the DDQN algorithm. …”
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LA RELATION ENSEIGNANT – ELÈVE / ETUDIANT DANS LE CADRE DU PROCESSUS INSTRUCTIF-ÉDUCATIF D’ÉDUCATION MUSICALE by Constantina BOGHICI

“…The principles of modern teaching promote a democratic relationship, of learning through cooperation, which motivates and captivates the pupil’s/student’s attention for study, getting him/her to discover by himself/herself patterns and methods of solving different musical problems. …”
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The Experiences and Challenges of Doctoral Education in Public Universities Compared. by Ocan, Johnson, Eton, Marus, Akena, Francis Adyanga, Ayiga, Natal

“…Novelty: it is crucial to remember that when pursuing their PhDs, scholars are not just learning about the research topic, but are also developing fundamental skills in critical thinking, to construct their own knowledge within their own indigenous context, it is essential that they acquire the capacity to assess assertions, and evaluate arguments in a critical manner.…”
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Management of Active Records in Referral Hospitals: A Case Study of Kisoro Hospital. by Hashakimana, Obed

“…Finally, it is premature for any, except the most sophisticated depositaries with highly trained personnel to consider digitization. While much has been learned by several project impacts, too little is known about archiving cost transferability of data and other factors to make it a practicable option for the ordinary repository (Parish Paud: 1990)…”
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Covid-19 Pandemic and Students Performance in Selected Secondary Schools in Rukungiri District. by Ainemigisha, Prossy

“…Conducted in three randomly chosen secondary schools in the district, the study aimed to: investigate the pandemic's impact on students' academic performance, examine the influence of various remote learning modalities on academic performance, and identify socio-economic and psychological factors contributing to changes in academic performance during the pandemic. …”
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Effects of Instructional Materials on the Academic Performance of Learners in Selected Primary Schools in Kabale Municipality. by Turyakira, Josephat

“…This includes budgets for purchasing textbooks, technology, and other resources essential for effective teaching and learning.…”
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A Bee Farm Records Management System: A Case Study of Kanyabugunga Kashambya Sub-County. by Maanige, Barnet, Tayebwa, Onesmas

“…Future avenues for enhancement include IoT integration for real-time hive monitoring, machine learning for pest detection, a dedicated mobile application, and expansion to other regions. …”
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