Rheumatic heart valve disease: navigating the challenges of an overlooked autoimmune disorder by Adrien Lupieri, Prabhash K. Jha, Victor Nizet, Walderez O. Dutra, Maria Carmo P. Nunes, Robert A. Levine, Elena Aikawa, Elena Aikawa

“…Addressing these issues will require a global health collaboration involving healthcare professionals, policymakers, and advocacy groups. …”
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DCLTV: An Improved Dual-Condition Diffusion Model for Laser-Visible Image Translation by Xiaoyu Zhang, Laixian Zhang, Huichao Guo, Haijing Zheng, Houpeng Sun, Yingchun Li, Rong Li, Chenglong Luan, Xiaoyun Tong

“…Existing cross-modal image translation algorithms are plagued with issues, including difficult training and color bleeding. …”
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Psychosocial considerations in pediatric heart transplantation: Initial validation of the Pediatric Psychosocial Assessment Tool at a single center by Michael O. Killian, PhD, MSW, Sonnie E. Mayewski, MSW, Schyler E. Brumm, MSW, Zhe He, PhD, Dipankar Gupta, MBBS, DCH, MD

“…Future directions include expanding implementation to other centers and integrating the PPAT into digital platforms using artificial intelligence and natural language processing to enhance efficiency, consistency, and patient-centered care.…”
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Application and impact of multi-power quality objective optimization control in low-voltage ride-through for grid-connected inverters by Haining Wang, Jiang Geng, Bowen Feng, Di Xie, Peng Zhang, Liangliang Wang, Jigang Yao

“…Traditional PI/PR current loop control structures, which rely on positive and negative sequence separation, suffer from issues such as filtering delays, complex parameter tuning, and performance degradation due to deteriorated power quality, adversely affecting the ride-through process. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. …”
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Revolutionizing diagnosis of pulmonary Mycobacterium tuberculosis based on CT: a systematic review of imaging analysis through deep learning by Fei Zhang, Hui Han, Minglin Li, Tian Tian, Guilei Zhang, Zhenrong Yang, Feng Guo, Maomao Li, Yuting Wang, Jiahe Wang, Ying Liu

“…Processing numerous images can be time-consuming and tedious. …”
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Plant-Derived Exosomes: Carriers and Cargo of Natural Bioactive Compounds: Emerging Functions and Applications in Human Health by Sorur Yazdanpanah, Silvia Romano, Anna Valentino, Umberto Galderisi, Gianfranco Peluso, Anna Calarco

“…A key concern is the absence of unified procedures for processing materials and for obtaining PDEs from different botanical sources. …”
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A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification by Xiaoying Zhu, Xiaoying Zhu, Guangyao Pang, Guangyao Pang, Xi He, Xi He, Yue Chen, Yue Chen, Zhenming Yu

“…Its high accuracy and effective feature processing capabilities underscore its potential to modernize and support the growth of the CHM industry.…”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…By resolving time-lag issues and mitigating noise interference, the model enables precise ash content prediction 16 min ahead, supporting automated density control, reduced energy waste, and eco-friendly coal processing. …”
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Influences of non-uniformly distributed forming loads on deformation sequence and texture evolution in tailor heat treated Al6014 blanks by Nan Xiang, Meng-han Yang, Wan-ting Sun, Tao Huang, Hai-rui Zhang, Peng-yi Wang, Fei-yang Cheng

“…Tailor heat treatment (THT)-induced local material softening of precipitation-hardening alloy sheet can provide a simplified process routine for the manufacture of shell components with regional complex shape. …”
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Deciphering Default Mode Network Dynamics in Alcohol Use Disorder Through Directed Transfer Function Analysis of EEG by Komal Masroor, Danish M. Khan, Hashim Raza Khan, Norashikin Yahya, Kamran Arshad, Khaled Assaleh

“…This study investigates the physiological mechanisms of alcohol’s impact on brain connectivity within the default mode network (DMN), a critical hub for cognitive and emotional processing. EEG data from 30 AUD patients (AUD-P) and 30 healthy controls (HC) revealed significant connectivity disruptions, particularly in frontal and parietal regions. …”
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Emerging Roles of GDF15 in Metabolic and Cardiovascular Diseases by Tian Tian, Monan Liu, Peter J. Little, Hans Strijdom, Jianping Weng, Suowen Xu

“…This review summarizes the expression, distribution, structure, processing, and secretion of GDF15. We also discuss multilayered regulatory networks governing GDF15 expression, including ATF4/CHOP, AMPK, EGR1, EZH2, PPARγ, NRF2, ERRγ, and p53, as well as posttranscriptional regulator CNOT6L. …”
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Phytochemicals in plant food waste: Innovative insight and implications by Ifrah Usman, Saima Sana, Muhammad Afzaal, Ali Imran, Hafiza Madiha Jaffar, Sadia Sukhera, Muniba Munir, Aasma Asghar, Markos Makiso Urugo

“…The processing and distribution of plant-based foods generate substantial waste, including seeds, husks, stalks, roots, and oilseed meals, which are often discarded or repurposed as animal feed. …”
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Resource Efficient Federated LoRaWAN Architecture for Far-Edge IoT Applications by Anna Triantafyllou, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos, Georgios Th. Papadopoulos, Konstantinos Panitsidis, Panagiotis Sarigiannidis

“…This study introduces an innovative, resource-efficient architecture that incorporates advanced technologies to create a lightweight, flexible, and scalable framework for remote and limited data collecting and processing in next-generation Internet of Things (IoT) applications. …”
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Automated denoising techniques for sea surface temperature and salinity data from opportunity vessels: application to the Ocean Globe Race 2023-2024 by Nicolas Werner-Pelletier, Oriol Carrasco-Serra, Oriol Carrasco-Serra, Marta Umbert, Nina Hoareau, Jordi Salat, Thierry Reynaud

“…This work is a step forward in oceanographic data processing and aims to provide a tool with a wide range of applications.…”
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A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

“…To tackle the high cost and challenging data processing issues associated with traditional hyper-spectral/multi-spectral sensors, this method only relies on UAV visible light RGB bands. …”
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CNN-Based End-to-End CPU-AP-UE Power Allocation for Spectral Efficiency Enhancement in Cell-Free Massive MIMO Networks by Yoon-Ju Choi, Ji-Hee Yu, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

“…In particular, considering power allocation from the central processing unit (CPU) to the APs enables optimal power utilization across the entire network. …”
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Chain-of-programming (CoP): empowering large language models for geospatial code generation task by Shuyang Hou, Haoyue Jiao, Zhangxiao Shen, Jianyuan Liang, Anqi Zhao, Xiaopu Zhang, Jianxun Wang, Huayi Wu

“…Large Language Models (LLMs) have driven the development of geospatial code generation but face challenges such as incomplete user requirements and insufficient knowledge of platform-specific syntax, often leading to ‘code hallucination.’ To address this issue, this paper proposes the Chain-of-Programming (CoP) framework, which divides the generation process into five steps: requirement analysis, algorithm design, code implementation, debugging, and annotation. …”
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Impact of the Sulfurized Polyacrylonitrile Cathode Microstructure on the Electrochemical Performance of Lithium–Sulfur Batteries by Robin Moschner, Martina Gerle, Timo Danner, Esther Kezia Simanjuntak, Peter Michalowski, Arnulf Latz, Maryam Nojabaee, Arno Kwade, K. A. Friedrich

“…Electrochemical impedance spectroscopy (EIS) shows increased cathode impedance values with multiple overlapping processes in the high‐ to mid‐frequency region in highly compressed SPAN cathodes. …”
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Nanofiltration membranes for efficient removal of pharmaceuticals from wastewater: A state-of-the-art review by Samy Elhadi Oussadou, Sumina Namboorimadathil Backer, Ismail W. Almanassra, Ahmad Shabib, Muataz Ali Atieh, Abdallah Shanableh

“…Pharmaceutical contamination in water systems has emerged as a pressing global issue due to its persistence, bioactivity, and adverse effects on ecosystems and human health. …”
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