Subaxial Cervical Vertebra Pedicle Anatomy: A Radiological Morphometric Study by Saygi Uygur, Irmak Tekeli Barut, Efekan Doruk, Furkan Basar, Yakup Yildirim, Derya Karatas, Emel Avci, Ahmet Dagtekin

“…Materials and Methods: Computed tomography scans of the subaxial cervical vertebrae of 40 patients without cervical pathology were morphometrically evaluated. …”
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Scalable 5G NR Rate-Matcher and Rate-Dematcher for Efficient Use in FPGA Accelerators by Nemanja Filipovic, Dragomir El Mezeni, Vladimir L. Petrovic

“…Therefore, acceleration is often needed to offload heavy processing, focusing on low-density parity-check (LDPC) codec as the most compute-intensive task in the PHY. Additionally, LDPC coding is tightly coupled with rate-matching. …”
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SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks by Xianwei Gao, Xiang Yao, Bi Chen, Honghao Zhang

“…These studies include comparisons with various advanced and traditional compressed sensing methods, comprehensive noise robustness tests, ablation studies of key components, computational complexity analysis, and rigorous statistical significance tests. …”
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Relationship between Serum Indoxyl Sulfate and Klotho Protein and Vascular Calcification in Patients with Chronic Kidney Disease Stages 3–5 by Yan Gao, Cong-Juan Zhao, Qiang Liu, Chen-chen Li, Zhe Li, Jing Li, Qian Wang, Li Zhang

“…Furthermore, multislice spiral computed tomography was employed to evaluate vascular calcification. …”
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Inhibitory impact of a mesoporous silica nanoparticle-based drug delivery system on Porphyromonas gingivalis-induced bone resorption by Mengya Li, Jian Sun, Dong Zhao, Wen Zhang, Qingan Xu

“…Micro-computed tomography was employed to assess the inhibitory impact of MSN and MSN-TC on bone resorption. …”
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A Comparative Analysis of Logarithmic Law, Reynolds Stress, and Turbulence Kinetic Energy Methods for Bed Shear Stress Estimation in Complex Open‐Channel Flow by Jeongsook Jeon, SeokKoo Kang

“…Third, the RSS methods successfully reproduced the LES‐computed bed shear stress distributions, both qualitatively and quantitatively. …”
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Edge AI for Real-Time Anomaly Detection in Smart Homes by Manuel J. C. S. Reis, Carlos Serôdio

“…Experimental results show that LSTM-AE achieves higher detection accuracy (up to 93.6%) and recall but requires more computational resources. In contrast, IF offers faster inference and lower power consumption, making it suitable for constrained environments. …”
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Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations by Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou

“…<b>Methods</b>: The study was conducted following PRISMA guidelines, involving a rigorous selection process that resulted in the inclusion of 64 empirical studies that explore neuroimaging modalities such as fMRI, EEG, and MEG, discussing their capabilities and limitations in emotion recognition. It further evaluates deep learning architectures, including neural networks, CNNs, and GANs, in terms of their roles in classifying emotions from various domains: human-computer interaction, mental health, marketing, and more. …”
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The merit of rural point-of-care ultrasound: Carotid pseudoaneurysm case report by Jan C. Thirion, Daniël J. Van Hoving

“…Further research is needed to evaluate its feasibility in South African rural health systems.…”
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A Method of Simultaneous Vehicle Localization and Roadside Pole-shaped Object Inventory Creation Based on Integrated LiDAR-IMU-GNSS System by YUAN Chao, PAN Wenbo, CHEN Zhiwei, HUANG Wenyu, LI Yuanzhengyu, YANG Zhenyu

“…Finally, extensive evaluations are conducted using real datasets covering various road scenarios, including urban and suburban areas. …”
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Spatiotemporal Risk Mapping of Statewide Weather-related Traffic Crashes: A Machine Learning Approach by Abimbola Ogungbire, Srinivas S. Pulugurtha

“…Equivalent property damage only (EPDO) scores were computed for each space-time cube to create a risk metric that combines both crash frequency and severity. …”
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A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity by Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, Mahdiyeh Eslami

“…Abstract Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. …”
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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

“…Data preprocessing consisted of label encoding and normalization. The system evaluates multiple performance metrics: accuracy, balanced accuracy and Matthews correlation coefficient (MCC). …”
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Numerical analysis of AAC block masonry wall with CFRP & GFRP laminates under blast loading by G. Indudhara, Y. M. Arun Kumar, G. S. Sandeep, Poornachandra Pandit

“…The study aims to evaluate the performance of FRP-reinforced AAC masonry walls for varying TNT loads to address the underexplored application of FRP laminates to enhance the blast resistance of AAC masonry walls. …”
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Comparative Study on the Accuracy of Terrestrial and Global Gravitational Models (GGMs) Gravity Anomalies for Akure Environs, Ondo State, Nigeria by Ibrahim Olatunji Raufu, Herbert Tata, Korede Samuel Buraimoh

“…The International Centre for Gravity Earth Models (ICGEM) publishes Global Gravitational Models (GGMs), which require validation using terrestrial data to assess their suitability in specific regions. This study evaluates and compares gravity anomalies derived from five GGMs (EGM 2008, GECO, XGM2019e-2159, SGG-UGM-2, and EIGEN-6C4) with terrestrial gravity data over the Akure area of Ondo State, Nigeria. …”
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Capacity Forecasting of Lithium-Ion Batteries Using Empirical Models: Toward Efficient SOH Estimation with Limited Cycle Data by Kanchana Sivalertporn, Piyawong Poopanya, Teeraphon Phophongviwat

“…The proposed model offers a practical balance between computational simplicity and predictive accuracy, making it well suited for battery health diagnostics.…”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Moreover, regulatory agencies have recognized the need to adapt their guidelines to evaluate recommendations from AI‐enhanced MIDD methods. …”
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Voronoi-cell lattice modeling of the elastic behavior of pultruded glass fiber reinforced polymers by Hadi Abbaszadeh, Yusuke Mochida, Alessandro Fascetti

“…First, the manuscript introduces the analytical derivations required to evaluate the elastic properties to assign to the lattice elements as a function of the geometrical relationships between the material planes of symmetry and the element orientation. …”
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Stylistically Lowered Lexical Units in Metaphors and Similes in Different Narrative Types (Based on the Material of Modern Russian Prose) by Zoya Yur’evna Petrova, Natalia Aleksandrovna Fateeva

“…A distinctive feature of recent times as compared with previous literary periods is noted, such as the presence of computer jargon in modern texts. The study demonstrates that colloquial and slang elements, which are the supporting words of comparative tropes, are found in modern literary prose not only when conveying the characters’ remarks in dialogues, but also in the speech of the narrator both in the first and third person, representing the character’s point of view. …”
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An Efficient Radio Map Construction Method Using Region-Aware Adaptive Ensemble Regression for Indoor Localization by Farid Yuli Martin Adiyatma, Panarat Cherntanomwong

“…By prioritizing regressors with lower localization error, RAER improves the realism of synthetic RSSI data and enhances radio map accuracy. Experimental evaluations conducted in a multi-story university building demonstrate that RAER can reconstruct radio maps, which reduces the need for site surveys by up to 25%. …”
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