Patient Perspective on Use of an Interactive Website for Sleep Apnea by Carl Stepnowsky, Christine Edwards, Tania Zamora, Robert Barker, Zia Agha

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An Integrated Model of Emotional Intelligence, Leadership, and Game Playability in Enhancing Team Effectiveness in MMOGs by Xiaoxue Gong, Lili Nurliyana Abdullah, Azrul Hazri Jantan, Noris Mohd Norowi, Anara Karymsakova

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Impact of Implementing Teleophthalmology Referral Guidelines Using the eyeSmart EMR App in 63,703 Patients from India by Anthony Vipin Das, Rohit C. Khanna, Niranjan Kumar, Padmaja Kumari Rani

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Computational modeling of cancer cell metabolism along the catabolic-anabolic axes by Javier Villela-Castrejon, Herbert Levine, Benny A. Kaipparettu, José N. Onuchic, Jason T. George, Dongya Jia

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Evaluation of Awareness and Attitude of Telemedicine among Primary Healthcare Workers in Deprived Area Health Centers by Mahdi Mazandarani, Narges Lashkarbolouk, Mitra Hashemi

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A mechanism for the emergence of low-dimensional structures in brain dynamics by Claudio Runfola, Spase Petkoski, Hiba Sheheitli, Christophe Bernard, Anthony R. McIntosh, Viktor Jirsa

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Geometric representations of brain networks can predict the surgery outcome in temporal lobe epilepsy by Martin Guillemaud, Alice Longhena, Louis Cousyn, Valerio Frazzini, Bertrand Mathon, Vincent Navarro, Mario Chavez

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Artificial intelligence for surgical outcome prediction in glaucoma: a systematic review by Zeena Kailani, Lauren Kim, Joshua Bierbrier, Michael Balas, David J. Mathew, David J. Mathew

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FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction by Arnold Kazadi, James Doss-Gollin, Antonia Sebastian, Arlei Silva

“…Our results, based on several metrics, show that FloodGNN-GRU outperforms several data-driven alternatives in terms of accuracy. Moreover, our approach can be trained 100x faster and tested 1000x faster than the time required to run a comparable simulation. …”
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Electronic nose and machine learning for modern meat inspection by Ivan Shtepliuk, Guillem Domènech-Gil, Viktor Almqvist, Arja Helena Kautto, Ivar Vågsholm, Sofia Boqvist, Jens Eriksson, Donatella Puglisi

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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…A forward-looking discussion identifies future priorities such as the integration of multi-omics data, deployment of explainable AI, and equitable data inclusion frameworks. …”
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A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases by Veerayuth Kittichai, Morakot Kaewthamasorn, Apinya Arnuphaprasert, Rangsan Jomtarak, Kaung Myat Naing, Teerawat Tongloy, Santhad Chuwongin, Siridech Boonsang

“…The model’s performance was also improved by a fine-tuned procedure between k-nearest neighbor and its normalized distance of each data point, including precision of 0.833 ± 0.134, specificity of 0.930 ± 0.054, recall of 0.838 ± 0.118, and accuracy of 0.915 ± 0.025, respectively. …”
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Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection by Geeta Rani, Atharv Kothekar, Shawn George Philip, Vijaypal Singh Dhaka, Ester Zumpano, Ester Zumpano, Eugenio Vocaturo, Eugenio Vocaturo

“…The low computational requirement and high accuracy of 98.9% increase the real-time applicability of the model, preventing blackmail and other losses to the public.DiscussionThe proposed hybrid model utilizes the strength of the transformer model in capturing complex patterns in data. …”
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BREAST-RANKNet: a fuzzy rank-based ensemble of CNNs with residual learning for enhanced breast cancer detection from ultrasound and mammogram images by Sohaib Asif, Lingying Zhu, Dane Yan, Luman Xu, Zhengqiu Huang, Haimin Xu, Ruxuan Yan, Linghong Cai, Changfu Zheng, Jiamei Lin, Enyu Wang

“…We use advanced visualization techniques, including Grad-CAM and SHAP, to clarify the model’s focus during classification, enhancing interpretability and reinforcing its applicability in medical diagnostics. The results demonstrate BREAST-RANKNet’s potential as a robust, efficient tool for early BC detection across diverse datasets.…”
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Agenda setting for health equity assessment through the lenses of social determinants of health using machine learning approach: a framework and preliminary pilot study by Maryam Ramezani, Mohammadreza Mobinizadeh, Ahad Bakhtiari, Hamid R. Rabiee, Maryam Ramezani, Hakimeh Mostafavi, Alireza Olyaeemanesh, Ali Akbar Fazaeli, Alireza Atashi, Saharnaz Sazgarnejad, Efat Mohamadi, Amirhossein Takian

“…This study aims to develop a framework utilizing ML to analyze health system data and set agendas for health equity interventions, focusing on social determinants of health (SDH). …”
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Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

“…All three approaches were successful in classifying and isolating LTRs in this data, as well as providing valuable insights into LTR sequence composition. …”
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A secure hybrid deep learning framework for brain tumor detection and classification by Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, Virendra Singh Kushwah, Rose Bindu Joseph, Mohd Asif Shah

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Benchmarking of Large Language Models for the Dental Admission Test by Yu Hou, Jay Patel, Liya Dai, Emily Zhang, Yang Liu, Zaifu Zhan, Pooja Gangwani, Rui Zhang

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Genome-wide identification, characterization and expression profiles of FORMIN gene family in cotton (Gossypium Raimondii L.) by Pollob Shing, Md Shohel Ul Islam, Mst. Sumaiya Khatun, Fatema Tuz Zohra, Naimul Hasan, Shaikh Mizanur Rahman, Md. Abdur Rauf Sarkar

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Recyclable nano-CuI immobilized on UiO-66-NH2 coated with porous sodium alginate-polysulfonamide for synthesis of phenols by Samaneh Koosha, Ramin Ghorbani-Vaghei, Sedigheh Alavinia

“…FESEM images revealed spherical sodium alginate particles and TEM analysis indicated a core-shell structure. ICP data confirmed the anchoring of 0.67 mol% of copper iodide. …”
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