A Summary of Recent Advances in the Literature on Machine Learning Techniques for Remote Sensing of Groundwater Dependent Ecosystems (GDEs) from Space by Chantel Nthabiseng Chiloane, Timothy Dube, Mbulisi Sibanda, Tatenda Dalu, Cletah Shoko

“…Among these, remote sensing and advanced machine learning (ML) techniques have emerged as key tools for improving the evaluation of dryland GDEs. This study provides a comprehensive overview of the progress made in applying advanced ML algorithms to assess and monitor GDEs. …”
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Towards decarbonizing large-scale industries: A decision support framework for optimizing grid-connected PV-battery energy systems planning – Case study of an OCP mining site, Moro... by Oumaima Mahir, Abdelilah Rochd, Aboubakr Benazzouz, Hicham Ghennioui

“…Furthermore, the model evaluation incorporates the computation of pertinent performance, feasibility, and viability indicators, notably the Levelized Cost of Energy (LCOE). …”
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Serum vitamin E as a potential biomarker of sperm velocity in crossbred beef bulls by Alberto Benito Diaz, Purificación Vicente-Galindo, María Anciones-Polo, Mónica Montañés Foz, Raúl Bodas, Juan José García-García, Ainhoa Sarmiento-García

“…Each bull was sampled once for semen and blood. Semen quality was evaluated using a computer-assisted sperm analysis (CASA) system, which provides objective measurement of motility parameters including curvilinear velocity (VCL), straight-line velocity (VSL), and average path velocity (VAP). …”
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Conformity Assessment of Human Exposed to Radiation From Millimeter-Wave Vehicles Radars by Ryota Morimoto, Sachiko Kodera, Yuma Kobayashi, Keishi Miwa, Akimasa Hirata

“…This study employed computational simulations and experimental measurements to evaluate the exposure from a 12 × 1 patch antenna array operating at 79 GHz. …”
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The incidence of metabolic syndrome in psoriasis patients and its correlation with disease activity: a systematic review and meta-analysis by Zongyang Li, Zongyang Li, Zheng Gu, Zheng Gu, Jingyu Xiang, Jingyu Xiang, Xiaoyan Zhang

“…After independent screening of literature, extraction of data, and evaluation of risk bias for inclusion in the study by two evaluators, meta-analysis and subgroup analysis were conducted using Stata17.0 software.ResultA total of 12 studies were analyzed, encompassing 9,641 patients with psoriasis and 2,554 patients suffering from MetS alongside psoriasis. …”
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The silent threat: a case report of a penetrating aortic ulcer by Jakub Slon, Weronika Piotrowska, Paulina Swieton, Emilia Szczykowska, Malgorzata Gryciuk, Edyta Zbroch

“…Given the patient’s comorbidities, further evaluation of the renal arteries was conducted. Doppler ultrasound revealed left renal artery stenosis and suspicion of PAU. …”
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The massive bladder diverticulum mimicking an ovarian cyst is the diagnosis challenge of pelvic masses in postmenopausal women: a rare case report by Kuniaki Ota, Hirohiko Kamiyama, Tomo Shimizu, Yoshiki Ajiro, Shigeo Nohara, Yasutaka Shuno, Takashi Kobayashi, Yoshiaki Ota, Toshifumi Takahashi

“…Case presentation A 76-year-old woman who was diagnosed with an ovarian cyst using abdominal computed tomography (CT) at another institution was referred to our department for further evaluation. …”
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Creation of software to help cardiac surgeons by Th. . Sénage, R. . Gaudin, M. . Michel, A. . Mugniot, Ch. . Périgaud, S. . Pattier, O. . Al Habash, D. . Duveau, O. . Baron, Ph. . Despins, J. Ch. Roussel

“…In order to prevent this double data capture, a computer tool, named CordaBase, has been developed by surgeons and set up in a cardiac surgery unit. …”
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Describing the Full Pore Size Distribution of Tight Sandstone and Analyzing the Impact of Clay Type on Pore Size Distribution by Qiang Lei, Liehui Zhang, Hongming Tang, Yulong Zhao, Man Chen, Chunyu Xie

“…Understanding the pore size distribution (PSD) of tight sandstone and the effect of clay minerals on the PSD is important for reservoir evaluation. Due to the complex shape of clay minerals, the multiscale pore size of tight sandstone, and the limitation of different experimental methods, it is hard to characterize the full PSD of tight sandstone, especially the point of connection (POC) of different derived PSD curves. …”
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PSMA PET/CT Identifies Intrapatient Variation in Salivary Gland Toxicity From Iodine-131 Therapy by Vineet Mohan MSc, Wouter V. Vogel MD, PhD, Gerlof D. Valk MD, PhD, Jan P. de Boer MD, PhD, Marnix G. E. H. Lam MD, PhD, Bart de Keizer MD, PhD

“…Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) was recently introduced as a new tool to evaluate the relative loss of vital acinar cells in individual salivary glands. …”
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Numerical investigation of the thermal performance of PV system under variable wind speeds and ambient temperatures in the tropical climate of Malaysia by Aamir Sohail, Mohd Syakirin Rusdi, Mohd Zulkifly Abdullah, Sakhr M. Sultan

“…This research utilized three-dimensional computational fluid dynamics (CFD) to simulate the fluid flow and thermal behaviour surrounding a standalone monocrystalline silicon PV module. …”
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Non-Rigid Cycle Consistent Bidirectional Network with Transformer for Unsupervised Deformable Functional Magnetic Resonance Imaging Registration by Yingying Wang, Yu Feng, Weiming Zeng

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AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference by Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, Mathew Wiens, Cynthia J. Musante

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Phased genome assemblies and pangenome graphs of human populations of Japan and Saudi Arabia by Maxat Kulmanov, Saeideh Ashouri, Yang Liu, Marwa Abdelhakim, Ebtehal Alsolme, Masao Nagasaki, Yasuyuki Ohkawa, Yutaka Suzuki, Rund Tawfiq, Katsushi Tokunaga, Toshiaki Katayama, Malak S. Abedalthagafi, Robert Hoehndorf, Yosuke Kawai

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A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data by Abhay Bindle, Preeti Singla, Sachin Sharma, Abdukodir Khakimov, Reem Ibrahim Alkanhel, Ammar Muthanna

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CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

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Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies by Kuncham Sreenivasa Rao, Panduranga Vital Terlapu, D. Jayaram, Kalidindi Kishore Raju, G. Kiran Kumar, Rambabu Pemula, M. Venu Gopalachari, S. Rakesh

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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…Four ML classifiers—Categorical Boosting, Random Forest (RF), Decision Tree (DT), and Extreme Gradient Boosting (XGB)—were employed, with cross-validation ensuring robust model evaluation. Feature selection was conducted using SHapley Additive Explanations (SHAP) and Recursive Feature Elimination (RFE) to enhance interpretability and computational efficiency. …”
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A Hard Real-Time Kernel for CPIoT Systems With Safety Features in Rust by Nayancy Gupta, Gourinath Banda, Neminath Hubballi, K. V. Srinivas

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Utilizing Symmetric BSIM-SOI SPICE Model for Dynamically Depleted RF SOI T/R Switches and Logic Circuits by Debashish Nandi, Chetan Kumar Dabhi, Dinesh Rajasekharan, Naveen Karumuri, Sreenidhi Turuvekere, Balaji Swaminathan, Srikanth Srihari, Anupam Dutta, Chenming Hu, Yogesh Singh Chauhan

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