Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

“…Edge processing is a trend in developing new technologies that leverage Artificial Intelligence (AI) without transmitting large volumes of data to centralized processing services. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Efficient resource allocation and workload distribution are vital to ensuring continuous and reliable service in growing IoT ecosystems with increasing data volumes and changing application demands. This study proposes a novel optimisation approach utilising deep learning to tackle these challenges. …”
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Ultrasound-guided microwave ablation versus surgery for low-risk solitary papillary thyroid microcarcinoma: a propensity-matched cohort study by Yujie Ren, Yujiang Li, Xiaoqiu Chu, Guofang Chen, Xue Han, Yueting Zhao, Chao Liu, Jianhua Wang, Shuhang Xu

“…Tumors treated with MWA had smaller maximum diameters (5.7 (4.6, 7.0) vs 6.9 (5.8, 8.6), P = 0.000) and volumes (70.7 (35.2, 120.9) vs 122.0 (63.9, 228.8), P = 0.000). …”
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Utilizing the Ethereum blockchain for retrieving and archiving augmented reality surgical navigation data by Sai Batchu, Michael J. Diaz, Lauren Ladehoff, Kevin Root, Brandon Lucke-Wold

“…Insertion and retrieval times for different record volumes were collected. Results: It took 276 milliseconds to insert 50 records and 713 milliseconds to insert 350 records. …”
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The Evaluation of Tau Deposition with [18F]PI-2620 by Using a Semiquantitative Method in Cognitively Normal Subjects and Patients with Mild Cognitive Impairment and Alzheimer’s Dis... by Attapon Jantarato, Sira Vachatimanont, Natphimol Boonkawin, Sukanya Yaset, Anchisa Kunawudhi, Chetsadaporn Promteangtrong, Jintana Assanasen, Nithi Mahanonda, Chanisa Chotipanich

“…The P-Mod software was applied to create volumes of interest. The ANOVA and post hoc Tukey HSD were used for statistical analysis. …”
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Population Size Estimation of Men Who Have Sex With Men in Low- and Middle-Income Countries: Google Trends Analysis by Carly M Malburg, Steve Gutreuter, Horacio Ruiseñor-Escudero, Abu Abdul-Quader, Wolfgang Hladik

“…MethodsWe examined GT relative search volumes (representing the relative internet search frequency of specific search terms) for “porn” and, as a comparator term, “gay porn” for the year 2020. …”
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Evaluation of the bioenergy potential of agricultural and agroindustrial waste generated in southeastern Mexico by Nathaly A. Díaz Molina, José A. Sosa Olivier, José R. Laines Canepa, Rudy Solis Silvan, Donato A. Figueiras Jaramillo

“…The generation of large volumes of agricultural and agroindustrial waste in the state of Tabasco represents a significant waste management challenge. …”
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IA na investigação, educação e prática da engenharia sísmica e estrutural - uma reflexão sobre impactos, desafios e direções futuras by Tiago Ferreira

“…No entanto, a capacidade destas ferramentas para processar grandes volumes de dados, executar tarefas computacionalmente exigentes e adaptar-se a condições em tempo real representa uma oportunidade de inovação inquestionável. …”
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Permeability Characteristics of Combined Coal with Different Water Contents by Hongyu Pan, Yao Zhang, Lei Zhang, Yan Cao, Yuhang Chu, Shihua Yang

“…Boreholes closer to the source exhibit higher extraction volumes. These results provide theoretical support for improving coal permeability, enhancing gas drainage efficiency, and preventing gas accidents through hydraulic measures.…”
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Biopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model by Pejman Shojaee, Edwin Weinholtz, Nadine S. Schaadt, Friedrich Feuerhake, Haralampos Hatzikirou

“…Each patient’s dataset includes simulated T1Gd and Fluid-attenuated inversion recovery (FLAIR) MRI volumes. T1-weighted imaging highlights anatomical structures with high contrast, providing clear detail on brain morphology, whereas FLAIR suppresses fluid signals, improving the visualization of lesions near fluid-filled spaces, which is particularly helpful for identifying peritumoral edema. …”
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Robotic Assistance in Percutaneous Liver Ablation Therapies: A Systematic Review and Meta-Analysis by Ana K. Uribe Rivera, MD, Barbara Seeliger, MD, PhD, Laurent Goffin, MSc, Alain García-Vázquez, MD, Didier Mutter, MD, PhD, Mariano E. Giménez, MD, PhD

“…Assistance by navigation and robotic systems allows to optimize procedural accuracy, with the aim to consistently obtain adequate ablation volumes. Methods:. Several databases (PubMed/MEDLINE, ProQuest, Science Direct, Research Rabbit, and IEEE Xplore) were systematically searched for robotic preclinical and clinical percutaneous liver ablation studies, and relevant original manuscripts were included according to the Preferred Reporting items for Systematic Reviews and Meta-Analyses guidelines. …”
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An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study by Xiadong Li, Qiang Shu, Canhong Kong, Jinhu Wang, Gang Li, Xin Fang, Xiaomin Lou, Gang Yu

“…This approach holds promises for implementation in medical institutions with high complaint volumes and limited resources for addressing patient feedback.…”
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Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features by Wenjun Zhao, Mengyan Hou, Juan Wang, Dan Song, Yongchao Niu

“…Intratumoral and peritumoral volumes of interest (VOIintra, VOIperi)) were manually segmented by experienced radiologists on T2-weighted imaging (T2WI) and apparent diffusion coefficient (ADC) maps. …”
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Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity by H. Chen, Q. Liang, J. Zhao, S. B. Maharjan

“…Bayesian models are employed to estimate a plausible range of glacial lake water volumes and the associated GLOF peak discharges while accounting for the uncertainty stemming from the limited sizes of the available data and outliers within the data. …”
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Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study by Yousif Mohamed AlSerkal, Naseem Mohamed Ibrahim, Aisha Suhail Alsereidi, Mubaraka Ibrahim, Sudheer Kurakula, Sadaf Ahsan Naqvi, Yasir Khan, Neema Preman Oottumadathil

“… Abstract BackgroundPrimary health care (PHC) services face operational challenges due to high patient volumes, leading to complex management needs. Patients access services through booked appointments and walk-in visits, with walk-in visits often facing longer waiting times. …”
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Assessment of choroidal vessels in healthy eyes using 3-dimensional vascular maps and a semi-automated deep learning approach by Nicola Valsecchi, Elham Sadeghi, Elli Davis, Mohammed Nasar Ibrahim, Nasiq Hasan, Sandeep Chandra Bollepalli, Sumit Randhir Singh, Luigi Fontana, Jose Alain Sahel, Kiran Kumar Vupparaboina, Jay Chhablani

“…Choroidal thickness (CT) and choroidal vascularity index (CVI) of the whole volumes were calculated using the automated software. …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Radiomic features were extracted from suspected lesion volumes identified by physicians and the most relevant radiomic features were selected to predict the presence or absence of LRRC. …”
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Protocol for a multicentre, prospective, open-label, randomised controlled trial to compare PROs and safety outcomes between preoperative and postmastectomy radiotherapy in locally... by Li Zhang, Jiong Wu, Guangyu Liu, Shuang Hao, Jianjing Hou, Changming Zhou, Yifeng Hou, Keda Yu, Zhen Hu, Genhong Di, Zhi Min Shao, Xiaoli Yu

“…Stratification will be performed by cancer centre at initial diagnosis. The radiation volumes will include the ipsilateral breast/chest wall, supraclavicular lymph nodes, undissected axilla and internal mammary nodes. …”
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The carbon footprint and energy consumption of liver transplantation by Paolo De Simone, Paolo De Simone, Quirino Lai, Juri Ducci, Daniela Campani, Daniela Campani, Giandomenico Biancofiore, Giandomenico Biancofiore

“…This approach sums the volumes of energy consumption (kWh), volatile anesthetics (ml), solid waste (kg), and units of blood products transfused for each transplant. …”
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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

“…PurposeThis work investigates the use of a spherical projection-based U-Net (SPU-Net) segmentation model to improve meningioma segmentation performance and allow for uncertainty quantification.MethodsA total of 76 supratentorial meningioma patients treated with radiotherapy were studied. Gross tumor volumes (GTVs) were contoured by a single experienced radiation oncologist on high-resolution contrast-enhanced T1 MRI scans (T1ce), and both T1 and T1ce images were utilized for segmentation. …”
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