Farmer-veterinarian communication during herd health visits on dairy farms in Flanders, Belgium by Linda Dorrestein, Caroline Ritter, Ellen de Jong, Jannet de Jonge, Jolanda Jansen, Sarne De Vliegher, Geert Vertenten, Herman W. Barkema

“…ABSTRACT: Well-developed clinical communication is crucial for dairy practitioners in providing effective herd health and production management (HHPM) advisory services, as they have potential to enhance farmer satisfaction and adherence to veterinary advice. …”
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A Possible Formation Scenario of the Gaia BH1: Inner Binary Merger in Triple Systems by Zhuowen Li, Chunhua Zhu, Xizhen Lu, Guoliang Lü, Lin Li, Helei Liu, Sufen Guo, Jinlong Yu

“…Under the condition that the initial triple stability is satisfied, we use the Multiple Stellar Evolution code and the MESA code to identify an initial hierarchical triple that can evolve into Gaia BH1. …”
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Drone-View Haze Removal via Regional Saturation-Value Translation and Soft Segmentation by Truong-Dong do, Le-Anh Tran, Seokyong Moon, Jio Chung, Ngoc-Phi Nguyen, Sung Kyung Hong

“…The code is available at <uri>https://github.com/tranleanh/rsvt</uri>.…”
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PGA Estimates for Vertical Ground Motion and Varying Deep Geology Site Surroundings—A Case Study of Banja Luka by Borko Bulajić, Silva Lozančić, Senka Bajić, Anka Starčev-Ćurčin, Miloš Šešlija, Miljan Kovačević, Marijana Hadzima-Nyarko

“…Moreover, the results show that the deep geology effects on vertical ground motion can exceed the local soil effects. …”
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MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits by Yang Deng, Bangchao Wang, Qiang Zhu, Junping Liu, Jiewen Kuang, Xingfu Li

“…Recent advancements in large language models, particularly pre-trained models, have improved the effectiveness of automated ILR. However, these models’ large parameter sizes and extended training time pose challenges in large software projects. …”
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Impact of endocrine disrupting chemicals (EDCs) on epigenetic regulation in the uterus: a narrative review by Yinjing Liang, Qinsheng Lu, Miaojuan Chen, Xiaomiao Zhao, Chu Chu, Chaofan Zhang, Jianhuan Yuan, Huimin Liu, Gendie E. Lash

“…Abstract Endocrine disrupting chemicals (EDCs) are ubiquitous in the environment and have been shown to interfere with the endocrine system, leading to adverse effects on reproductive health. In females, EDC exposure has been linked to menstrual irregularities, infertility, and pregnancy complications. …”
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Robotics in higher education and its impact on digital learning by Patrick Zamora, Alan Lozada, Jorge Buele, Fátima Avilés-Castillo

“…This study was registered in the Open Science Framework under the code: 10.17605/OSF.IO/KHDTU.…”
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Dryout modelling for both homogeneous and stratified debris beds by Cheng Peng, Kaiwen Shi, Jian Deng, Jiang Wu

“…For stratified beds, the error further decreased to 4.5%, demonstrating superior accuracy.DiscussionThe results highlight the necessity of interfacial shear effects and stratification in DHF predictions. The proposed models offer a robust foundation for debris bed cooling analysis codes, significantly improving safety assessments.…”
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DMRS: Long-tailed remote sensing recognition via semantic-aware mixing and diversity experts by Yifan Wang, Fan Zhang, Qihao Zhao, Wei Hu, Fei Ma

“…Extensive experiments on NWPU-RESISC45 and RSD46-WHU datasets demonstrate the effectiveness of DMRS, achieving 6.7% and 2.0% improvements in overall accuracy, respectively, while significantly enhancing the recognition of tail classes. …”
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“Habari, Colleague!”: A Qualitative Exploration of the Perceptions of Primary School Mathematics Teachers in Tanzania Regarding the Use of Social Robots by Edger P. Rutatola, Koen Stroeken, Tony Belpaeme

“…While commended for their effective teaching and suitability for one-to-one tutoring, concerns were raised about incorrect and inconsistent feedback, language code-switching, response latency, and the lack of support infrastructure. …”
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MF-YOLO: Mask Wearing Detection Algorithm for Dense Environments by Peng Wen, Zhengyi Yuan, Junhu Zhang, Haitao Li

“…Furthermore, we introduce a mixed attention mechanism that integrates both channel and spatial attention, enabling the model to focus more effectively on key features and better target the objects of interest. …”
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Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems by Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov

“…These results confirm that online machine learning methods can effectively secure EV charging infrastructures. The source code is publicly available on GitHub, ensuring reproducibility and fostering further research. …”
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Estuarine Floc Mass Distributions from Aggregation/Disaggregation and Bed Sediment Exchange by William H. McAnally, Ashish J. Mehta, Andrew J. Manning, Carola Forlini

“…For a better prediction of the SSC variation with the tide, the effects of salinity and advection can be incorporated by coupling the modeled floc dynamics with a suitable multi-dimensional hydrodynamic code.…”
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A Systematic Literature Review of Cleanroom Ventilation and Air Distribution Systems by Arup Bhattacharya, Mohammad Saleh Nikoopayan Tak, Shervin Shoai-Naini, Fred Betz, Ehsan Mousavi

“…This study begins by looking over the history of cleanroom ventilation systems that creates the basis for understanding ventilation rate specifications, terminologies employed in ventilation effectiveness, and recognizing scientific studies that correlate ventilation effectiveness with air change rates. …”
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Lightweight interactive feature inference network for single-image super-resolution by Li Wang, Xing Li, Wei Tian, Jianhua Peng, Rui Chen

“…SAAB adaptively recalibrates local salient structural information, and SWTB effectively captures rich global information. Further, ESAB synergetically complements local and global priors to ensure the consistent fusion of diverse features, achieving high-quality reconstruction of images. …”
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Learning Curvelet-based Directional Dictionaries for Single Image Super Resolution by Elhameh Mikaeli, Ali Aghagolzadeh, Mehdi Nooshyar

“…Extensive experimental results validate the effectiveness and robustness of the proposed method comparing with the state-of- the-art algorithms in SISR methods. …”
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The Kinematics Gait Pattern Analysis of Thin, Normal and Obese Children by Meysam Rezaei, Mahdi Najafian Razavi, Elaheh Mazandarani

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Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs. by Shuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, Yoshimasa Kawazoe, Shungo Imai, Satoko Hori, Eiji Aramaki

“…., discharge summaries) are not effectively utilized because of the difficulty in extracting medical information. …”
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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…However, exploring the vast chemical space is time-consuming and costly, necessitating the development of time-efficient and cost-effective computational methods. Recent advances in deep learning approaches have offered deeper insights into molecular structures. …”
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Development of PMMA based polymer composite incorporating WO3 for gamma radiation shielding using synthesis and Monte Carlo simulation by Mahdieh Mokhtari Dorostkar, Akbar Abdi Saray

“…Composite samples with varying weight fractions of WO3 were simulated using Monte Carlo particle transport codes, MCNP6 and GEANT4. Key shielding parameters, including the effective atomic number (via Phy-X), attenuation coefficients (via XCOM), linear and mass attenuation coefficients, mean free path, half-value layer, and tenth-value layer (via MCNP6, GEANT4, and experimental data) were analyzed. …”
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