How does asymmetric sibling rivalry respond under environmental metal pollution? A case study of the Tree Sparrow (Passer montanus) by Jian Ding, Shengnan Wang, Wenzhi Yang, Huijie Zhang, Ni Wang, Yingmei Zhang

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GIS-Based 'Banua Siaga' Platform for Enhancing Disaster Preparedness Through Health Post Mapping in Palu by Budiman Budiman, Ahmad Yani, Fatmawati Fatmawati

“…Future research should focus on expanding the platform’s scalability, incorporating AI-driven predictive analytics, and conducting real-world validation through disaster simulations.…”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

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Investigation on the exploding foil initiators ignition enhanced by explosion-electricity coupling by Songmao Zhao, Haotian Jian, Ke Wang, Zheng Ning, Peng Zhu, Ruiqi Shen

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PDMS microspheres as rheological additives for PDMS-based DIW inks by Utkarsh Ramesh, Jonathan Miller, Bryce Stottelmire, James Beach, Steven Patterson, Laura Cumming, Sabrina Wells Torres, Dakota Even, Petar Dvornic, Cory Berkland

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Atomistic simulations of twin facets associated with three-dimensional {1¯011} twins in magnesium by Qiyu Zeng, Mingyu Gong, Houyu Ma, Yao Shen, Jian-feng Nie, Jian Wang, Yue Liu

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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

“…With the growing utilization of artificial intelligence in mental health, researchers are endeavoring to create AI-based diagnostic models. In this context, some researchers have sought to develop machine learning models for bipolar disorder diagnosis. …”
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Current situation and prospects of coalbed methane exploration and development in Sichuan Basin by ZHU Suyang, LIU Wei, WANG Yunfeng, JIA Chunsheng, CHEN Chaogang, PENG Xiaolong

“…The first coalbed methane production base in the Sichuan Basin, the Junlian-Mu’ai mining area, has more than 450 surface extraction wells, with an annual gas production of over 1.00×108 m3 for five consecutive years. …”
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Explainable Machine Learning for Radio Environment Mapping: An Intelligent System for Electric Field Strength Monitoring by Yiannis Kiouvrekis, Theodor Panagiotakopoulos, Efthymia Nousi, Ioannis Filippopoulos, Agapi Ploussi, Ellas Spyratou, Efstathios P. Efstathopoulos

“…Across all models, confidence intervals were narrow, demonstrating stable and reliable predictions. Explainable AI techniques revealed that antenna distance, building volume, and population density are the most influential predictors of EMF intensity. …”
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Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…FindingsThe results showed that AI empowerment (including technology roadmap, attitude, and professional expertise) and AI readiness (including awareness, infrastructure, and technical level) affect adopting artificial intelligence integrated with customer relationship management systems. …”
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Artificial Intelligence–Based Mobile Phone Apps for Child Mental Health: Comprehensive Review and Content Analysis by Fan Yang, Jianan Wei, Xuejun Zhao, Ruopeng An

“…These efforts are essential to harness the power of AI technologies in creating equitable, effective, and engaging solutions for improving child mental health outcomes.…”
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Comparison of artificial intelligence image processing with manual leucocyte differential to score immune cell infiltration in a mouse infection model of cystic fibrosis by Madeline G. Williams, Zachary J. Faber, Thomas J. Kelley

“…However, manual review by research personnel can be both subjective and time consuming, and cell sorting approaches consume samples and demand additional reagents to perform the differential. We have created an artificial intelligence (AI) image processing pipeline using the Biodock.ai platform to classify immune cell types from Giemsa-stained cytospins of mouse bronchoalveolar lavage fluid. …”
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Expression characteristics and transcriptional regulation analysis of VlCKX5 gene in grape by LIU Yiting, WANG Ruxin, ZHANG Haimeng, JING Pengwei, SHI Qiaofang, ZHAO Xiaochun, YU Yihe

“…A fragment of the VlCKX5 promoter containing the VlAGL6a binding site, designated as P, was cloned into the pAbAi vector, generating the recombinant bait plasmid pAbAi-proVlCKX5/P. …”
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The role of moral intention and moral obligation in predicting attitudes toward avoiding AIgiarism: A protection motivation theory perspective by Ismail Mohamed Ali, Ibrahim Arpaci

“…This study will help educational institutions develop AI-supported anti-plagiarism solutions in areas such as identification, instilling moral responsibility, and creating an environment of trust and support.…”
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Perceptions of the Future of Artificial Intelligence on Social Media: A Topic Modeling and Sentiment Analysis Approach by Ayse Ocal

“…Today’s AI technology has various applications in many fields, thus creating opportunities to improve different aspects of daily life and optimize business operations. …”
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Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians? by Jennifer Benjamin, Tyson Pillow, Heather MacNeill, Ken Masters, Anoop Agrawal, Neil Mehta

“… The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities’ collaboration to find solutions to complex problems. …”
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Humanity Test—EEG Data Mediated Artificial Intelligence Multi-Person Interactive System by Fang Fang, Tanhao Gao, Jie Wu

“…Artificial intelligence (AI) systems are widely applied in various industries and everyday life, particularly in fields such as virtual assistants, healthcare, and education. …”
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Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis by Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz, Hanna Hottenrott

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Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss by Sang Won Lee, Kateryna Huz, Kayla Gorelick, Jackie Li, Thomas Bina, Satoko Matsumura, Noah Yin, Nicholas Zhang, Yvonne Naa Ardua Anang, Sanam Sachadava, Helena I. Servin-DeMarrais, Donald J. McMahon, Helen H. Lu, Michael T. Yin, Sunil Wadhwa

“…The survey indicated that 84% of participants agreed or strongly agreed with the AI application measurement of ACH. Furthermore, 56% of participants agreed that AI would be helpful in their professional setting. …”
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Comparative Analysis of Audio Feature Extraction for Real-Time Talking Portrait Synthesis by Pegah Salehi, Sajad Amouei Sheshkal, Vajira Thambawita, Sushant Gautam, Saeed S. Sabet, Dag Johansen, Michael A. Riegler, Pål Halvorsen

“…Although interviewer training systems are considered a potential application, the primary contribution of this work is the improvement of the technical foundations necessary for creating responsive AI avatars. These advancements enable more immersive interactions and expand the scope of AI-driven applications, including educational tools and simulated training environments.…”
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