Personalized Joint Replacement: Landmark-Free Morphometric Analysis of Distal Radii by Sarah L. Remus, Kevin Brugetti, Veronika A. Zimmer, Nina Hesse, Paul L. Reidler, Riccardo Giunta, Julia A. Schnabel, Wolfram Demmer

“…At the same time, the interindividual results endorse the approach of pursuing personalized prostheses as the optimal replacement for distal joint surfaces. The increasing improvement of 3D-printed prostheses promises new methods for better outcomes in distal radius arthrosis after intraarticular fractures. …”
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Anthropometric and metabolic parameters associated with visceral fat in non-obese type 2 diabetes individuals by Ming Jiao, Jiaoli Chen, Xiaoling Wang, Wenyu Tao, Yunhua Feng, Huijun Yang, Haiying Yang, Shanshan Zhao, Ying Yang, Yiping Li

“…Anthropometric and metabolic parameters were detected. Novel insulin resistance indices, such as lipid accumulation product (LAP) was calculated. …”
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Association between lactate-to-albumin ratio and mortality in hepatic failure: a retrospective cohort study by Huan Wu, Long Wu, Li Luo, Hai-yang Li, Bao-fang Zhang

“…LAR was calculated from the ratio obtained from the first measurement taken within 24 h of admission. The optimal LAR threshold was determined using the Youden index. …”
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Three-dimensional Measurement of Specular Surfaces Based on the Light Field by Panyu Zhou, Lingbao Kong, Xiang Sun, Min Xu

“…Although light field measuring system (LFMS) can quickly detect nontransparent surfaces, specular light affects the overall measurement result. …”
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Advancing autonomous vehicle safety assessment: A novel methodology for moving from functional to concrete scenarios using kinetic 3D-LiDAR and SHAP by Minhee Kang, Saeyan Eom, Keeyeon Hwang

“…To address these safety concerns, autonomous vehicle safety assessment employs a scenario-based approach, which can be categorized into knowledge-based and data-driven methods. In this study, we propose a framework that extends existing data-driven approaches by addressing three critical limitations: data, method, and scenario development. …”
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Moving Target Geolocation and Trajectory Prediction Using a Fixed-Wing UAV in Cluttered Environments by Yong Zhou, Dengqing Tang, Han Zhou, Xiaojia Xiang

“…By employing filter, regression and optimization techniques, the proposed system is capable of accurately estimating the target’s current position and predicting its future path even in complex scenarios. …”
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Exploring Machine Learning Classification of Movement Phases in Hemiparetic Stroke Patients: A Controlled EEG-tDCS Study by Rishishankar E. Suresh, M S Zobaer, Matthew J. Triano, Brian F. Saway, Parneet Grewal, Nathan C. Rowland

“…Certain movement phases are more responsive to NIBS, so a system that auto-detects these phases would optimize stimulation timing. …”
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Risk Factors of Positive Endocervical Curettage and Predictive Model Construction Based on Primary Human Papillomavirus Screening by Hangjing Gao MS, Guanxiang Huang MS, Binhua Dong MS, Ye Li MS, Hongning Cai MD, Xianqian Chen MS, Tingting Jiang MS, Kelvin Stefan Osafo MS, Dabin Liu MS, Jiancui Chen MS, Huihua Ge MS, Diling Pan MS, Huifeng Xue MS, Pengming Sun PhD, MD

“…Conclusion As the additional detection value of ECC is limited. A satisfactory prediction model was designed to optimize ECC application in patients with HR-HPV infection.…”
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Analysis for Bopivirus B in goats in the Sichuan province, China using a novel TaqMan real-time polymerase chain reaction assay by Kehamo Abi, Youwen Yang, Chen Yang, Kegu Ji’e, Falong Yang

“…Specific primers and a probe targeting the 3D gene of Bopivirus B were designed, and the TaqMan-based real-time PCR assay was successfully established following the optimization of reaction conditions and components. A total of 257 goat fecal samples were collected from six farms in Sichuan and tested using the newly developed method. …”
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Improving quantum metrology protocols with programmable photonic circuits by de las Heras Alberto Muñoz, Porras Diego, González-Tudela Alejandro

“…We show that while for Jaynes–Cummings non-linearities the interaction time grows with the photon number, for Kerr-type ones it decreases, favoring the scalability to big photon numbers. Finally, we also optimize different measurement strategies for the deterministically generated states based on photon-counting and homodyne detection.…”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Experimental evaluations demonstrate TANEA’s superior performance over traditional methods, achieving improved accuracy, reduced computational overhead, and faster convergence rates. …”
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Leveraging Bluetooth and GPS Sensors for Route-Level Passenger Origin–Destination Flow Estimation by Junming Xu, Zhenxing Pan, Cheng Zhang, Xiaoguang Yang

“…Accurate estimation of passenger origin–destination (OD) matrices is critical for optimizing public transportation systems, yet conventional methods face challenges, such as incomplete alighting data, high infrastructure costs, and privacy concerns. …”
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Design of intelligent vehicular and sensor communication network: a comprehensive survey by Arslan Ahmed Amin, Ansa Mubarak, Habib Ulla Manzoor

“…It highlights the comprehensive sensor technologies such as Radar, Light Detection and Ranging (LiDAR), Cameras, and Ultrasonic sensors that aim to collect and synchronize data for vehicle operation and safety. …”
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Risk and protective factors associated with adolescent depression in Singapore: a systematic review by Wei Sheng Goh, Jun Hao Norman Tan, Yang Luo, Sok Hui Ng, Mohamed Sufyan Bin Mohamed Sulaiman, John Chee Meng Wong, Victor Weng Keong Loh

“…A systemic review to understand associated risk and protective factors is important to strengthen measures for the prevention and early detection of adolescent depression and suicide in Singapore. …”
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Monitoring nociception in patients with morbid obesity undergoing bariatric surgery by Salvatore Fabrizio Favitta, Danilo Santolamazza, Ersilia Luca, Roberto De Cicco, Paola Aceto

“…An increasing number of monitoring methods have been approved in recent years, especially developed for the detection of intraoperative nociception to enable better control of opioid titration. …”
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Enhanced spectrum sensing for 5G and LTE signals using advanced deep learning models and hyperparameter tuning by Sally Mohamed Ali Elmorsy, Samah Mohamed Osman, Samah Adel Gamel

“…The research highlights that, through rigorous hyperparameter optimization, these models achieved substantial improvements in detection accuracy, reaching 97.3% and 98.2%, respectively, compared to initial performance levels of 93.0% and 95.0%. …”
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Fault Management in Speed Control Systems of Hydroelectric Power Plants Through Petri Nets Modeling: Case Study of the Alazán Power Plant, Ecuador by Cristian Fernando Valdez-Zumba, Luis Fernando Guerrero-Vásquez

“…Simulation results demonstrate the model’s effectiveness in significantly reducing diagnostic and intervention times compared to traditional methods. Results show that using Petri nets improves fault detection accuracy, accelerates decision-making, and optimizes resource allocation. …”
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Insufficiency of timeliness and efficiency of diagnosis of malignant tumors of visual localization in the female reproductive system by N. V. Voroshina, A. V. Vazhenin, Yu. A. Tyukov

“…Oncologists working in outpatient health care facilities and other allied healthcare professionals need a special methodical literature on cancer screening. It is necessary to optimize the routing scheme of patients with suspected malignant tumors with mandatory training of oncologists and other allied healthcare professionals on the routing of such patients.…”
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Artificial intelligence and remote patient monitoring in US healthcare market: a literature review by Ayushmaan Dubey, Anuj Tiwari

“…ABSTRACTBackground: Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by triaging patients to optimize hospitalization and avoid complications. The FDA regulates AI in medical devices and aims to ensure patient safety, effectiveness, and transparent AI solutions.Objectives: Identify and summarize FDA approved RPM devices to provide information for the US medical device industry based on previous approvals and the markets’ needs.Methods: We searched publicly available databases on FDA-approved RPM devices. …”
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Bio-inspired multispectral camouflage material for microwave, infrared, and visible bands based on single hierarchical metasurface by Liu Shiju, Zhou Congyang, Tan Ruiyang, Han Mengqi, Wu Zhijing, Chen Ping

“…Chameleons, jellyfish, and many other creatures use unique camouflage methods. Multispectral camouflage materials are highly desirable to against progressive multispectral detection. …”
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