When is Growth the Greatest? Spine and Total Body Growth in Idiopathic Scoliosis Through Sanders Maturation Stages 2, 3A, 3B, and 4 by Yusuke Hori, MD, PhD, Bryan Menapace, MD, Norihiro Isogai, MD, Sadettin Ciftci, MD, Burak Kaymaz, MD, Luiz Carlos Almeida da Silva, MD, Kenneth J. Rogers, PhD, ATC, Petya K. Yorgova, MS, Peter G. Gabos, MD, Suken A. Shah, MD, FAOA

“…This single-center, retrospective, case-control longitudinal study evaluated consecutive patients with idiopathic scoliosis staged SMS 2 to 4. …”
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Enhancing Sustainable Manufacturing in Industry 4.0: A Zero-Defect Approach Leveraging Effective Dynamic Quality Factors by Rouhollah Khakpour, Ahmad Ebrahimi, Seyed Mohammad Seyed Hosseini

“…<a href="#_ENREF_15">Martinez, Al-Hussein, and Ahmad (2022)</a> propose a framework integrating cyber physical production system (CPPS) and ZDM for quality prediction and operation control where the CPPS is used to facilitate data management and to extend data analysis towards ZDM goals. …”
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Radio Spectrum Sensing Framework for Large-Scale, High-Density IoT Sensor Networks by Partemie-Marian Mutescu, Alexandru Lavric, Adrian-Ioan Petrariu, Alin-Mihai Cailean, Valentin Popa

“…In contrast to most existing other methods, the proposed framework follows an end-to-end approach that integrates dataset design, AI model training, and inference evaluation using IoT sensors controlled by a traffic orchestrator that emulates a large-scale, high-density WSN architecture. …”
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Mixed-dimensional fluid–structure interaction simulations reveal key mechanisms of cerebrospinal fluid dynamics in the spinal canal by Deshik Reddy Putluru, Adrian Buganza Tepole, Hector Gomez

“…This work opens new possibilities to control and optimize intrathecal drug delivery and to understand structural abnormalities of the CNS.…”
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A Low-Cost Arduino-Based I–V Curve Tracer with Automated Load Switching for PV Panel Characterization by Pedro Leineker Ochoski Machado, Luis V. Gulineli Fachini, Erich T. Tiuman, Tathiana M. Barchi, Sergio L. Stevan, Hugo V. Siqueira, Romeu M. Szmoski, Thiago Antonini Alves

“…Furthermore, re-optimizing the model with field-acquired data reduces the MAPE from 18.23% to 7.06% under variable irradiance. …”
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The Application of an Underwater Robot for the Creation of a Database for the Technical Inspection of the Underwater Components of Water Transport and Infrastructure by Justas Žaglinskis, Evelina Noreikaitė

“…Finally, the underwater inspection process is modeled, demonstrating how the CHASING M2 PRO MAX can be integrated into existing procedures to optimize data collection and analysis. …”
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Rationally designed multimeric nanovaccines using icosahedral DNA origami for display of SARS-CoV-2 receptor binding domain by Qingqing Feng, Keman Cheng, Lizhuo Zhang, Dongshu Wang, Xiaoyu Gao, Jie Liang, Guangna Liu, Nana Ma, Chen Xu, Ming Tang, Liting Chen, Xinwei Wang, Xuehui Ma, Jiajia Zou, Quanwei Shi, Pei Du, Qihui Wang, Hengliang Wang, Guangjun Nie, Xiao Zhao

“…Additionally, surface antigen patterns are not controllable to enable the optimization of B cell activation. …”
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Exhaled volatile organic compounds as novel biomarkers for early detection of COPD, asthma, and PRISm: a cross-sectional study by Jiaxin Tian, Qiurui Zhang, Minhua Peng, Leixin Guo, Qianqian Zhao, Wei Lin, Sitong Chen, Xuefei Liu, Simin Xie, Wenxin Wu, Yijie Li, Junqi Wang, Jin Cao, Ping Wang, Min Zhou

“…We utilized five algorithms to establish diagnostic models and selected the optimal one among them. The random forest model best distinguished COPD from healthy controls with an area under the receiver operating characteristic curve (AUC) of 0.92 ± 0.01. …”
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Assessing the Role of Long-Term Electricity Storage in the Energy Transition by Nikolaos E. Koltsaklis

“…In the long run, energy models based on cost-optimal solutions heavily rely on the cost projections of various technologies. …”
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A Weighted Bayesian Kernel Machine Regression Approach for Predicting the Growth of Indoor-Cultured Abalone by Seung-Won Seo, Gyumin Choi, Ho-Jin Jung, Mi-Jin Choi, Young-Dae Oh, Hyun-Seok Jang, Han-Kyu Lim, Seongil Jo

“…The proposed model not only improves prediction accuracy compared to baseline methods, but also provides actionable insights into the environmental dynamics that optimize abalone growth. …”
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A radiomics approach for predicting gait freezing in Parkinson’s disease based on resting-state functional magnetic resonance imaging indices: A cross-sectional study by Miaoran Guo, Hu Liu, Long Gao, Hongmei Yu, Yan Ren, Yingmei Li, Huaguang Yang, Chenghao Cao, Guoguang Fan

“…The results showed that when differentiating patients with Parkinson’s disease who had freezing of gait from those who did not have freezing of gait, or from healthy controls, the models using only the mean regional homogeneity values achieved the highest area under the receiver operating characteristic curve values of 0.750 (with an accuracy of 70.9%) and 0.759 (with an accuracy of 65.3%), respectively. …”
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Joint effects of temperature and humidity with PM2.5 on COPD by Huan Minh Tran, Feng-Jen Tsai, Yuan-Hung Wang, Kang-Yun Lee, Jer-Hwa Chang, Chi-Li Chung, Chien-Hua Tseng, Chien-Ling Su, Yuan-Chien Lin, Tzu-Tao Chen, Kuan-Yuan Chen, Shu-Chuan Ho, Feng-Ming Yang, Sheng-Ming Wu, Kian Fan Chung, Kin-Fai Ho, Kai-Jen Chuang, Hsiao-Chi Chuang

“…This study aims to examine the joint effects of PM2.5, temperature, and RH on the risk of COPD. Methods A case–control study was conducted among 1,828 participants from 2017 to 2022 (995 COPD patients and 833 controls). …”
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Comparison of Human and Porcine Natural Tooth Fluorescence—A Scoping Study to Inform Research on Dental Materials and Forensic Dentistry by Thomas Corfield, Denice Higgins

“…Procuring human teeth for research is challenging due to ethical and infection control standards, prompting a search for alternative models. …”
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Research on a virtual-real fusion experimental system for the cutting part of a boom-type roadheader. by Jianzhuo Zhang, Ce Chen, Xiaoyu Ding, Tao Wang, Chuanxu Wan, Wenliang Li

“…Using Deep Deterministic Policy Gradient (DDPG), the control of the cutting unit was optimized to achieve low-stress state cutting, verifying the system's feasibility.…”
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Impact of ventilation and ambient temperature on COVID-19 transmission in clinic waiting rooms: A computational fluid dynamics approach. by Zhankun Zhu, Guosheng Gao, Yaoren Hu, Xiansheng Zhao

“…A novel aspect of this research lies in the comprehensive modeling of human anatomy and aerosol interactions, which enhances the accuracy of viral-trajectory predictions. …”
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Radar Tracking System Using Contextual Information on a Neural Network Architecture in Air Combat Maneuvering by Antonio Navidad Pineda, Luis Usero Aragonés, José Raúl Fernández del Castillo Díez, Miguel Ángel Patricio Guisado

“…Neural networks exhibit universal mapping capabilities that allow them to be used as a control tool for capturing hidden information about models learned from a dataset. …”
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The Immunologic Basis for Severe Neonatal Herpes Disease and Potential Strategies for Therapeutic Intervention by Soren Gantt, William J. Muller

“…However, when HSV infection occurs during the neonatal period, viral replication is poorly controlled and a large proportion of infants die or develop disability even with optimal antiviral therapy. …”
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Comparative characterization of FDM structures with electrically-conductive sensing elements under static, dynamic and thermal loads by Ferdinando Ursi, Giorgio De Pasquale

“…In particular, for applications where mechanical and electrical properties are critical, it is essential to optimize the process to control both the mechanical performance and electrical conductivity of the material in static and dynamic conditions. …”
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Artificial intelligence-driven metabolic engineering is applied to the development of active ingredients in Traditional Chinese Medicine by Zhang Guoqi, Wang Juan

“…Nevertheless, the biochemical routes and critical catalysts that control numerous high-value target molecules have not been fully characterized, which is the main bottleneck for the heterologous synthesis of high-value chemicals. …”
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Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency by José Humberto S. Almeida, Jr., Guilherme Ferreira Gomes

“…Pareto-optimal solutions were identified, with the best configuration reaching 27.6 MPa SBS in 75.9 minutes. …”
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