Economywide impact of climate shock on agricultural sector, women employment and poverty: a Burkina Faso case study by Boureima Sawadogo, Ramos E. Mabugu, Ramos E. Mabugu

“…In this framework, climate change is modelled by decreased agricultural crop yields under scenarios of moderate and severe climate shocks.ResultsFindings are that under both moderate and severe scenarios, there are negative impacts that become more detrimental in the severe climate shock scenario. Rural areas compared to urban areas experience reductions in the rate of participation in economic activities and increase the burden of domestic work, particularly for women and, more so, for skilled women. …”
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Application of professional standards for training in methods and technologies of software engineering at the higher education institutions by A. S. Minzov, O. I. Melnikova

“…This training direction emerged in Russia from recommendations of the standard of Computing Curricula: Software Engineering. It is supposed that graduates of this direction will be engaged in the future in development and support of difficult program systems, and therefore during educational process they have to receive broad basis of knowledge and skills to be able to develop software, create projects of development of a software product, as well as program documentation; manage the processes of programs’ life cycle, work in groups and manage team of performers in the process of production of software products. …”
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Acceleration of Urdu Optical Character Recognition on Zynq UltraScale+ MPSoC Using Deep Convolutional Neural Network by Fauzia Yasir, Majida Kazmi

“…Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack of annotated datasets, and limited hardware support for real-time applications. …”
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Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study by Ritesh Maurya, Nikhil Rajput, M. G. Diviit, Satyajit Mahapatra, Manish Kumar Ojha

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Enhanced Cleft Lip and Palate Classification Using SigLIP 2: A Comparative Study with Vision Transformers and Siamese Networks by Oraphan Nantha, Benjaporn Sathanarugsawait, Prasong Praneetpolgrang

“…This paper extends our previous work on cleft lip and/or palate (CL/P) classification, which employed vision transformers (ViTs) and Siamese neural networks. …”
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Enhanced YOLOv8 for Robust Pig Detection and Counting in Complex Agricultural Environments by Jian Li, Wenkai Ma, Yanan Wei, Tan Wang

“…Experimental results on a comprehensive dataset spanning diverse agricultural scenarios (nighttime, controlled indoor, and natural daylight environments with density variations from 4 to 30 pigs) demonstrate our method achieves 94.2% mAP@0.5 for detection performance and 96.8% counting accuracy, representing 12.3% and 15.7% improvements compared to the strongest baseline, YOLOv11n. This work enables robust, accurate pig counting across challenging agricultural environments, supporting precision livestock management.…”
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Impact of Wireless Network Packet Loss on Real-Time Video Streaming Application: A Comparative Study of H.265 and H.266 Codecs by Miran Taha Abdullah, Najmadin Wahid Abdulrahman, Aree Ali Mohammed, Diary Nawzad Hama

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Automatic Classification of Difficulty of Texts From Eye Gaze and Physiological Measures of L2 English Speakers by Javier Melo, Leigh Fernandez, Shoya Ishimaru

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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

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Technical note: A comparative study of chemistry schemes for volcanic sulfur dioxide in Lagrangian transport simulations – a case study of the 2019 Raikoke eruption by M. Liu, M. Liu, L. Hoffmann, L. Hoffmann, J.-U. Grooß, J.-U. Grooß, Z. Cai, S. Grießbach, S. Grießbach, Y. Heng

“…We consider this work to be an important step forward to support future research on emission source reconstruction involving nonlinear chemical processes.…”
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Machine learning-based risk of fall estimation using insole with force sensors while performing a sequence of activities in the TUG test by Clinton Enow Tabi, Johannes C. Ayena, Martin J.-D. Otis

“…For the sit-to-start of the walk sequence identification phase, the best accuracy was achieved using the support vector machine model.…”
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ON THE EXPEDIENCY AND DIRECTIONS OF IMPROVING THE METHODOLOGY OF TEACHING STUDENTS MATERIAL OF THE CONTENT LINE "FUNCTIONS AND THEIR GRAPHS" by Тетяна Года, Олександр Школьний

“…To improve the methodology of teaching students the material of the content line "Functions and their graphs" it seems natural to use modern computer technologies. Teachers are currently actively using modern electronic tools for teaching mathematics, but need methodological support for their application in the educational process. …”
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Research and application of water drainage borehole design method based on three-dimensional geological model by Zhenrong WANG

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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

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Algorithm for finding subcritical paths on network diagrams by M. A. Аnfyorov

“…Network diagrams are used as an information support element in planning and project management processes for structuring planned work and calculating project efficiency characteristics. …”
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Handling missing values in patient-reported outcome data in the presence of intercurrent events by Doranne Thomassen, Satrajit Roychoudhury, Cecilie Delphin Amdal, Dries Reynders, Jammbe Z. Musoro, Willi Sauerbrei, Els Goetghebeur, Saskia le Cessie, on behalf of SISAQOL-IMI Work Package 3

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Comparative Assessment of LiDAR Point Clouds Captured Using Inertial Labs RESEPI Gen-I-M2X and DJI Zenmuse L2 Sensors on UAS Platforms for Varying Terrain Conditions by R. Tamimi, B. Süleymanoğlu, A. Elashry, C. Toth

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Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics by Tie Deng, Junbang Feng, Xingyan Le, Yuwei Xia, Feng Shi, Fei Yu, Yiqiang Zhan, Xinghua Liu, Chuanming Li

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Enhancing Fairness in Autonomous Vehicles: Proof of Confidence With Blockchain Technology by Jimin Ryu, Yong Ik Yoon

“…Unlike existing mechanisms, such as Proof of Work and Proof of Stake, PoC is designed to improve transaction efficiency while maintaining strong data integrity and supporting fair decision-making processes in dynamic driving environments. …”
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Impact of frailty in older people on health care demand: simulation modelling of population dynamics to inform service planning by Bronagh Walsh, Carole Fogg, Tracey England, Sally Brailsford, Paul Roderick, Scott Harris, Simon Fraser, Andrew Clegg, Simon de Lusignan, Shihua Zhu, Francesca Lambert, Abigail Barkham, Harnish Patel, Vivienne Windle

“…This information was used in a computer model to predict what would happen in the future. …”
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