Data-driven modeling for evaluating deformation of a deep excavation near existing tunnels by Fengwen Lai, Songyu Liu, Jim Shiau, Mingpeng Liu, Guojun Cai, Ming Huang

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Development of a highly efficient p-coumaric acid-responsive biosensor in Saccharomyces cerevisiae by Xueqing Pang, Jingyuan Zhu, Yuqing Li, Jing Xiao, Xinyu Zhang, Depeng Ren, Pingping Zhou

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Optimizing battery health monitoring in electric vehicles using interpretable CART–GX model by Mohnish Karthikeyan B, Anirudh N, Navaneetha Krishnan S, Christopher Columbus C, Aravind C. K

“…The increasing adoption of electric vehicles (EVs) has created a growing demand for accurate and reliable predictions of lithium-ion battery State of Health (SoH) to ensure optimal performance, safety, and longevity. …”
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Design of Realistic and Artistically Expressive 3D Facial Models for Film AIGC: A Cross-Modal Framework Integrating Audience Perception Evaluation by Yihuan Tian, Xinyang Li, Zuling Cheng, Yang Huang, Tao Yu

“…The rise of virtual production has created an urgent need for both efficient and high-fidelity 3D face generation schemes for cinema and immersive media, but existing methods are often limited by lighting–geometry coupling, multi-view dependency, and insufficient artistic quality. …”
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Decoration of CoFe-LDH/porous MgO composite with ZrO2 nanoparticles for efficient photocatalytic removal of indigo carmine by Tehseen Zehra, Ananda Repycha Safira, Arash Fattah-alhosseini, Mohammad Alkaseem, Mosab Kaseem

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Views from the trenches: California family physicians’ challenges and resilience factors while providing patient care during the initial wave of COVID-19 by Avital Fischer, Johanna Shapiro, Tan Nguyen, Gabriela Meckler, Tien Lam, Uyen Mai, Reece Fenning, Jan Paolo De La Cruz, Cynthia Haq

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Effective Feature Selection on Transfer Deep Learning Algorithm for Thyroid Nodules Ultrasound Detection by Ghufran Basim Alghanimi, Hadeel Aljobouri, Khaleel Akeash Alshimmari, Rasha Massoud

“…Recently, several methods of AI were proposed to improve the detection of thyroid nodules ultrasound images with good performances. …”
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CMOS Low-Power Optical Transceiver for Short Reach by Ruixuan Yang, Yiming Dang, Jinhao Chen, Dan Li, Francesco Svelto

“…The emergence of the AI era driven by Large Language Models (LLMs) and the next-generation high-definition multimedia interface for immersive technologies (AR/VR/metaverse) have created an unprecedented demand for high-bandwidth interconnects. …”
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Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT by Inès Schumacher, Lorenzo Ferro Desideri, Virginie Manuela Marie Bühler, Nicola Sagurski, Yousif Subhi, Gaurav Bhardwaj, Janice Roth, Rodrigo Anguita

“…Methods One hundred hypothetical ophthalmic cases were created based on actual patient data from an ophthalmic emergency department, including details such as age, symptoms and medical history. …”
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Enhancing Recommendation Systems with Real-Time Adaptive Learning and Multi-Domain Knowledge Graphs by Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi

“…Traditional recommendation models leverage knowledge graphs, sentiment analysis, social capital, and generative AI to enhance personalization. However, existing models still struggle to adapt dynamically to users’ evolving interests across multiple content domains in real-time. …”
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Long-term evaluation of the impact of urbanization on native and non-native fish assemblages by Shubha N. Pandit, Mark S. Poesch, Jurek Kolasa, Laxmi Koirala Pandit, Jonathan L. W. Ruppert, Eva C. Enders

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Case studies and operation features of transient multiphase flow in low-flow wells with multistage fracturing and extended horizontal wellbore operated with ESP in PSA mode by T.S. Yushchenko, E.V. Demin, V.A. Ivanov, R.A. Khabibullin, A.V. Volkov

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Unravelling the infodemic: a systematic review of misinformation dynamics during the COVID-19 pandemic by Sudip Bhattacharya, Alok Singh, Alok Singh

“…IntroductionThe COVID-19 pandemic triggered not only a public health crisis but also a parallel “infodemic”—an overwhelming flood of information, including false or misleading content. This phenomenon created confusion, mistrust, and hindered public health efforts globally. …”
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Enhancing safe mobility through V2V communication: a focus on short-range performance with UWB by Rolen Lionel Rodrigues, K. V. Santhosh

“…This technological synergy is pivotal for autonomous driving and creating a safe, efficient, and connected transportation environment. …”
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Application of Seismic Attribute Technique to estimate the 3D model of Hydraulic Flow Units: A case study of a gas field in Iran by Mohamad Iravani, Mahdi Rastegarnia, Dariush Javani, Ali Sanati, Seyed Hasan Hajiabadi

“…For this purpose, acoustic impedance (AI) volume as an external attribute was created while internal attributes were computed from seismic data. …”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

“…Recent developments in COVID-19 diagnosis involve constructing expansive multi-noise information sets while creating clinical process-oriented AI algorithms and implementing distributed learning protocols for securing information security and system stability. …”
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Leveraging Bird Eye View Video and Multimodal Large Language Models for Real-Time Intersection Control and Reasoning by Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy

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Disease Phenotypes in Refractory Musculoskeletal Pain Syndromes Identified by Unsupervised Machine Learning by Thomas Hügle, Tiffany Prétat, Marc Suter, Chris Lovejoy, Pedro Ming Azevedo

“…Based on the clustering data, digital personas were created with DALL‐E (OpenAI). Results The most relevant distinguishing factors among clusters were living alone, body mass index, peripheral joint pain, alexithymia, psychiatric comorbidity, childhood pain, neuroleptic or benzodiazepine medication, and response to virtual reality. …”
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Investigation of blasting effects and mechanisms on concrete frustums under side-contact explosions by Gengxin Kang, Yadong Zhang, Xingbo Xie, Wenbin Gu

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State-of-the-Art Deep Learning Algorithms for Internet of Things-Based Detection of Crop Pests and Diseases: A Comprehensive Review by Jean Pierre Nyakuri, Celestin Nkundineza, Omar Gatera, Kizito Nkurikiyeyezu

“…Therefore, to tackle these challenges, harnessing advanced technologies such as artificial intelligence (AI), Machine Learning/Deep Learning (ML/DL), and Internet of Things (IoT) is essential for managing and mitigating agriculture hazards. …”
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