Our experience of buffalo improvement in India: last 50 years journey by T. K. Datta

“…However, it faces challenges concerning low artificial insemination (AI) coverage (~40% of breedable females), demand gap of frozen semen doses, realized genetic gain, scarce fodder availability, and market linkages. …”
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Evaluating the technical and economic aspects of thermal performance of extensive green roofs: A GIS-based case study in the urban setting of Na- dor, Morocco by Rachid Lambarki, Elmostafa Achbab, Mehdi Maanan, Hassan Rhinane

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Machine-Learning-Based Biomechanical Feature Analysis for Orthopedic Patient Classification with Disc Hernia and Spondylolisthesis by Daniel Nasef, Demarcus Nasef, Viola Sawiris, Peter Girgis, Milan Toma

“…The effectiveness of the models for both diagnosis and furthering understanding of Lumbar IVD herniations and spondylolisthesis is outlined. The limitations of AI use in clinical settings are discussed, and areas for future improvement to create more accurate and informative models are suggested.…”
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Cardiomyocyte proliferation: Advances and insights in macrophage-targeted therapy for myocardial injury by Tao Wang, Xueyao Wang, Weibin Ren, Zeyu Sun, Yanhui Zhang, Nanping Wu, Hongyan Diao

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Selection of urban-flood-shelter locations based on risk assessment by Jiale Qiu, Haowen Tan, Shengnan Yuan, Chenxi Lv, Peng Wang, Shuchao Cao, Yuhu Zhang

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Human Action Recognition Using Difference of Gaussian and Difference of Wavelet by Gopampallikar Vinoda Reddy, Kongara Deepika, Lakshmanan Malliga, Duraivelu Hemanand, Chinnadurai Senthilkumar, Subburayalu Gopalakrishnan, Yousef Farhaoui

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Multi-Examiner: A Knowledge Graph-Driven System for Generating Comprehensive IT Questions with Higher-Order Thinking by Yonggu Wang, Zeyu Yu, Zihan Wang, Zengyi Yu, Jue Wang

“…The results demonstrated that: (i) overall, questions generated by the Multi-Examiner system outperformed those generated by GPT-4 across all dimensions and closely matched the quality of human-crafted questions in several dimensions; (ii) domain-specific search tools significantly enhanced the diversity of questions generated by Multi-Examiner; and (iii) GPT-4 generated better questions for knowledge points at the “remembering” and “understanding” levels, while Multi-Examiner significantly improved the higher-order thinking of questions for the “evaluating” and “creating” levels. This study contributes to the growing body of research on AI-supported educational assessment by demonstrating how specialized knowledge structures can enhance automated generation of higher-order thinking questions beyond what general-purpose language models can achieve.…”
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Potential for circular economy in the construction sector. An explorative study about single-use masks and sustainable building material based on a customer and construction compan... by Daniela Ludin, Erika Mueller, Asli Ercengiz, Jannick Lumpp, Wanja Wellbrock

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Unraveling the role of copper intercalation and doping on NiTe2 to enhance electrochemical performances by Rajkumar Sokkalingam, Manikandan Krishnan, K.J. Sankaran, Arumugam Sonachalam, Arjun Kumar Bojarajan, Sambasivam Sangaraju

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Spontaneous Breakaway of Tractional Flap Tear during Acute Posterior Vitreous Detachment after Laser Retinopexy by V. A. Shaimova, V. N. Trublin, G. R. Islamova, S. Kh. Kuchkildina, T. B. Shaimov, R. B. Shaimov, T. G. Kravchenko, S. V. Titova

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Bleed-off control on post-injection seismicity in enhanced geothermal systems by Iman R. Kivi, Victor Vilarrasa, Kwang-Il Kim, Hwajung Yoo, Ki-Bok Min

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A data science pipeline applied to Australia's 2022 COVID-19 Omicron waves by James M. Trauer, Angus E. Hughes, David S. Shipman, Michael T. Meehan, Alec S. Henderson, Emma S. McBryde, Romain Ragonnet

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Defective biogenesis of human mitochondrial ribosomes causes sensorineural deafness by Chao Chen, Wenqi Shan, Min-Xin Guan

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Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro by Jie Fu, Mick Grierson, Renpeng Jiang, Shun Fu, Mengzhi He, Muhan Xu

“…We developed Dream Space, a spatial computing system that bridges this gap by enabling designers to think, create, and iterate directly within XR contexts. The system leverages generative AI for rapid prototyping of 3D content and environments, allowing designers to externalize and test creative concepts without breaking their cognitive flow. …”
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Integrating Emotional Requirements in Use-Case Point Model for Effort Estimation of Healthcare System by Shoaib Hassan, Qianmu Li, Ayed Alwadain, Affan Yasin, Javed Ali Khan

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Optimizing transcranial focused ultrasound parameters: A methodological advancement in non-invasive brain stimulation for next-gen clinical applications by Sachin Gupta, Mustafa Mudhafar, Yogini Dilip Borole, V. Mahalakshmi, Janjhyam Venkata Naga Ramesh, Muhammad Attique Khan

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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

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Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction by Sebastian Holm, MD, Mario Zambrana, MD, Juan E. Berner, MD, PhD, Reza Tabrisi, MD, Fredrik Landström, MD, PhD, Dhafir Hanoon, MD, Johann Zdolsek, MD, PhD

“…Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation. …”
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Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels by Young-Ho Seo, Jang Hyun Sung, Byung-Sik Kim, Junehyeong Park

“…Abstract Artificial Intelligence (AI) has been extensively utilized for streamflow prediction, primarily in gauged watersheds using meteorological and historical streamflow data. …”
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