Connectivity related to major brain functions in Alzheimer disease progression: microstructural properties of the cingulum bundle and its subdivision using diffusion-weighted MRI by Mattia Ricchi, Guido Campani, Anastasiia Nagmutdinova, Villiam Bortolotti, Danilo Greco, Carlo Golini, James Grist, Leonardo Brizi, Claudia Testa

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PET imaging of hepatocellular carcinoma with [124I]IV-14 by Wei Cao, Olga Sergeeva, William Julian, Adam Kresak, Destiny Lusinger, Joseph Schneider, Marc S. Berridge, Sandra Sexton, Patrick Wojtylak, Qiubai Li, Wendy Liu, Ernest Ricky Chan, Yogen Saunthararajah, Zhenghong Lee

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The livelihood impacts of eucalypt plantations on rural farm households in Western Gurage Watersheds, Central-south Ethiopia by Belay Zerga, Bikila Warkineh, Demel Teketay, Muluneh Woldetsadik

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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…To increase data variety for training and evaluation we use image augmentation on our two datasets—a freely available dataset and our new open-source dataset. To combine the datasets we denoise the contourings in our dataset by using an effective yet simple algorithm based on standard computer vision methods only. …”
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Metasurface enabled broadband, high numerical aperture Laplace differentiator under multiple polarization illumination by Chen Zhou, Naseer Muhammad, Ruizhe Zhao, Yanjie Chen, Guangzhou Geng, Junjie Li, Xiaowei Li, Xin Li, Yongtian Wang, Lingling Huang

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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

“…The objectives were to develop and test automated image selection and intraoral plaque-scoring (primary outcome measure in a prevention trial for preschoolers).Methods Evaluating 1650 plaque-disclosed primary teeth (teeth D, E, F, G) from 435 photographs from UCSF/UCLA clinical trials, data were cleaned, transformed, and modeled with statistical and machine learning (ML) algorithms; data visualizations utilized Jupyter Notebooks, Python, OpenCV, and Sci-kit Learn libraries, with Laplacian filter preprocessing. …”
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Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method by Cheng Zhang, Yiwen Wang, Haozhe Cheng, Wanfeng Dou

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Insights into the optoelectronic, quantum chemical, NBO and dynamic nonlinear optical properties of meso-BODIPY dyes by Oluwatoba Emmanuel Oyeneyin, Nathanael Damilare Ojo, Adesoji Alani Olanrewaju, Blessing Lully Isaiah, Nnenna Winifred Odozi, Edmore Farayi Kangara, Matshawandile Tukulula

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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

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Diagnostic Accuracy of Deep Learning Models in Predicting Glioma Molecular Markers: A Systematic Review and Meta-Analysis by Somayeh Farahani, Marjaneh Hejazi, Sahar Moradizeyveh, Antonio Di Ieva, Emad Fatemizadeh, Sidong Liu

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Motivation to continue and the value of care work among French Red Cross volunteers and workers during the COVID-19 pandemic: a mixed methods study by Leonardo W. Heyerdahl, Vincent Guillemot, Benedetta Lana, Gaston Bizel-Bizellot, Tamara Giles-Vernick

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Understanding Flaky Tests Through Linguistic Diversity: A Cross-Language and Comparative Machine Learning Study by Azeem Ahmad, Xin Sun, Muhammad Rashid Naeem, Yasir Javed, Mohammad Akour, Kristian Sandahl

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Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care by Panteleimon Pantelidis, Polychronis Dilaveris, Samuel Ruipérez-Campillo, Athina Goliopoulou, Alexios Giannakodimos, Panagiotis Theofilis, Raffaele De Lucia, Ourania Katsarou, Konstantinos Zisimos, Konstantinos Kalogeras, Evangelos Oikonomou, Gerasimos Siasos

“…To fully harness the potential of AI, interdisciplinary collaboration among clinicians, data scientists, and engineers is essential, alongside open science initiatives to promote data accessibility and reproducibility. …”
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Prion protein promotes copper toxicity in Wilson disease by Raffaella Petruzzelli, Federico Catalano, Roberta Crispino, Elena V. Polishchuk, Mariantonietta Elia, Antonio Masone, Giada Lavigna, Anna Grasso, Maria Battipaglia, Lucia Vittoria Sepe, Banu Akdogan, Quirin Reinold, Eugenio Del Prete, Diego Carrella, Annalaura Torella, Vincenzo Nigro, Enrico Caruso, Nicole Innocenti, Emiliano Biasini, Ludmila V. Puchkova, Alessia Indrieri, Ekaterina Y. Ilyechova, Pasquale Piccolo, Hans Zischka, Roberto Chiesa, Roman S. Polishchuk

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Prediction of OCT contours of short-term response to anti-VEGF treatment for diabetic macular edema using generative adversarial networks by Xueying Yang, Fabao Xu, Han Yu, Zhongwen Li, Xuechen Yu, Zhiwen Li, Li Zhang, Jie Liu, Shaopeng Wang, Shaopeng Liu, Jiaming Hong, Jianqiao Li

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Brain tau PET-based identification and characterization of subpopulations in patients with Alzheimer’s disease using deep learning-derived saliency maps by Yanxiao Li, Xiuying Wang, Qi Ge, Manuel B Graeber, Shaozhen Yan, Jian Li, Shuyu Li, Wenjian Gu, Shuo Hu, Tammie L. S. Benzinger, Jie Lu, Yun Zhou

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Design of a novel and robust 2-DOF PIDA controller based on enzyme action optimizer for ball position regulation in magnetic levitation systems by Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj, Olena Rubanenko

“…Abstract Magnetic levitation (maglev) systems are characterized by strong nonlinearities and inherent open-loop instability, making precise position regulation of levitating bodies exceptionally challenging. …”
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Competition for Ion Intercalation in Prussian Blue Analogues as Cathode Materials for Calcium Ion Batteries by Henry R Tinker, Mingrui Li, Ajay Piriya Vijaya Kumar Saroja, Yuhan Liu, Yudong Luo, Wanjun Ren, Runzhe Wei, Yi Lu, Pan He, Yupei Han, Christopher A. Howard, Furio Corà, Yang Xu

“…Prussian blue analogues (PBAs) display many positive attributes such as open structural framework, large interstitial sites, and versatile transition metal redox activity. …”
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Successful treatment of atypical femoral fracture with autogenous bone grafting in a patient on denosumab for bone metastasis from breast cancer: A case report by Taiki Yasukawa, Sang Yang Lee, Hiro Hasegawa, Koki Tsuchiya, Toshiyuki Shirahata, Makoto Yoshimura, Yoshifumi Kudo

“…Six months postoperatively, radiographs and computed tomography images demonstrated bone union. …”
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A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides by Zhuoyan Shen, Mikaël Simard, Douglas Brand, Vanghelita Andrei, Ali Al-Khader, Fatine Oumlil, Katherine Trevers, Thomas Butters, Simon Haefliger, Eleanna Kara, Fernanda Amary, Roberto Tirabosco, Paul Cool, Gary Royle, Maria A. Hawkins, Adrienne M. Flanagan, Charles-Antoine Collins-Fekete

“…To address this, we create the largest dataset of mitotic figures (N = 74,620), combining an in-house dataset of soft tissue tumours with five open-source datasets. We then employ a two-stage framework, named the Optimised Mitoses Generator Network (OMG-Net), to identify mitotic figures. …”
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