Cellular therapies in rheumatic and musculoskeletal diseases by Pedro Franco-Fuquen, Juana Figueroa-Aguirre, David A. Martínez, Eider F. Moreno-Cortes, Juan E. Garcia-Robledo, Fabio Vargas-Cely, Daniela A. Castro-Martínez, Mustafa Almaini, Januario E. Castro

“…Additionally, it will explore potential future applications of these innovative treatment modalities for managing patients with refractory and recurrent manifestations of these diseases.…”
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Machine Learning for Early Detection of Phishing URLs in Parked Domains: An Approach Applied to a Financial Institution by Jaqueline D. Duarte, Pedro Chagas Junior, Joao Paulo Javidi da Costa, Elena J. da Costa, Laerte Peotta de Melo, Rafael Rabelo Nunes, Carlos V. N. Gabriel Soares, Thiago Erivan da Cunha Silva

“…Using a curated dataset comprising 211,659 URLs obtained from real-time SSL (Secure Sockets Layer) certificate monitoring, popular domain listings, and phishing incident reports, the methods encompass data pre-processing, feature engineering, and model optimization. …”
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Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching by Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth

“…Temporal latency coding is utilized to encode data from a grayscale image into sub‐nanosecond pulse delays. …”
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Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors by Zhenqiang Guo, Guojun Duan, Yinxing Zhang, Yong Sun, Weifeng Zhang, Xiaohan Li, Haowan Shi, Pengfei Li, Zhen Zhao, Jikang Xu, Biao Yang, Yousef Faraj, Xiaobing Yan

“…Abstract Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph‐structured data. However, most amorphous/polycrystalline oxides‐based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. …”
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Establishment of the Slovenian Universities' Repositories and of the National Open Science Portal by Milan Ojsteršek, Mojca Kotar, Marko Ferme, Goran Hrovat, Mladen Borovič, Albin Bregant, Jan Bezget, Janez Brezovnik

“…Bilingual web and mobile applications, a recommendation system and the interface suitable for persons with disabilities are provided to the users from around the world. …”
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Density and Viscosity in Biodiesel + Diesel Mixtures from Recycled Feedstocks by Gabriela Sánchez-Rodríguez, José Domenzaín-González, Francisco Javier Verónico-Sánchez, Hugo Isidro Pérez-López, Abel Zúñiga-Moreno, Octavio Elizalde-Solis

“…The study of butyl ester biodiesel was motivated by the scarcity of these properties’ data for butyl esters and the improvement of some of its physicochemical properties. …”
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Prognostic significance of preoperative neutrophil-to-lymphocyte ratio in lung carcinoid patients after receiving curative surgery. A multicentre study by Nicola Tamburini, Beatrice Aramini, Ilaria Potenza, Francesco Bagolini, Danila Azzolina, Fares Shamshoum, Federico Rea, Franco Stella, Giampiero Dolci, Enrica Pellizzer, Pio Maniscalco, Andrea Dell’Amore

“…Biomarkers of the inflammatory response are increasingly regarded as valuable prognostic indicators for enhancing predictive accuracy in non-small cell lung cancer (NSCLC). Nonetheless, the applicability of these measures in patients with pulmonary carcinoid remains uncertain.ObjectivesThe primary outcome of this study was to evaluate the prognostic impact on Overall Survival (OS) of the preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and serum C-reactive protein (CRP) in pulmonary carcinoid after complete surgical resection.MethodsWe retrospectively evaluated data from 267 patients who underwent surgery with curative intent for pulmonary carcinoid tumors between January 2010 and December 2020. …”
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Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers by Carlos Polvorinos-Fernández, Luis Sigcha, Luigi Borzì, Gabriella Olmo, César Asensio, Juan Manuel López, Guillermo de Arcas, Ignacio Pavón

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Analysis of the Influence of Different Turbulence Models on the Prediction of Vehicle Aerodynamic Performance by Luwei Wang, Xingjun Hu, Peng Guo, Zirui Wang, Jingyu Wang, Yuqi Wang, Yan Ma, Ying Li, Jing Zhao, Xu Yang, Ruixing Ma, Yinan Zhu, Jianjiao Deng

“…Moreover, open-domain simulations align more closely with real free-flow environments and experimental data than virtual wind tunnel simulations. Overall, the study clarifies the varying applicability of turbulence models in complex flows, and offers a basis for model selection and technical support for vehicle aerodynamic optimization. …”
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Effects of radiofrequency electromagnetic field exposure on cancer in laboratory animal studies, a systematic review by Meike Mevissen, Angélique Ducray, Jerrold M. Ward, Annette Kopp-Schneider, James P. McNamee, Andrew W. Wood, Tania M. Rivero, Kurt Straif

“…Methods: Eligibility criteria: Based on pre-established Populations, Exposures, Comparators, Outcomes, and Study Type (PECOS) criteria, studies in experimental animals of the following study types were included: chronic cancer bioassays, initiation-(co–)promotion studies, and studies with tumor-prone animals.Information sources: MEDLINE (PubMed), Science Citation Index Expanded and Emerging Sources Citation Index (Web of Science), and the EMF Portal.Data abstraction and synthesis: Data are publicly available online as interactive visuals with downloadable metadata. …”
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Recent Developments to the ANSWERS® Monte Carlo Codes MONK® and MCBEND® by Fildes Jessica, Richards Simon, Bird Adam, Cox Andrew, Fry Timothy, Hanlon David, Jones Brian, Long David, Tantillo Francesco, Wright George, Hiles Richard

“…Improvements to the physics include stochastic mixing of bound thermal scattering data, Doppler broadening rejection correction, improved support for low temperature analyses in MONK, and modelling of photonuclear reactions in MCBEND. …”
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Underwater SLAM Meets Deep Learning: Challenges, Multi-Sensor Integration, and Future Directions by Mohamed Heshmat, Lyes Saad Saoud, Muayad Abujabal, Atif Sultan, Mahmoud Elmezain, Lakmal Seneviratne, Irfan Hussain

“…UWSNs offer a collaborative framework that enhances localization, mapping, and real-time data sharing among AUVs by leveraging acoustic communication and distributed sensing. …”
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Developing a program logic model for evaluation and research of a rural medical training stream by Lara Fuller, Jessica Beattie, Vivienne Ramsbottom, Brendan Condon, Thomas Majer, Erik Martin, Nicole Mercer, Kellie Britt, Deborah Baldi, Tim Walker, Laura Gray, Janet McLeod, Gary D. Rogers

“…Trial registration Clinical trial number: not applicable.…”
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Integrating digital health into pediatric obesity management: Current practices and future perspectives by Vittoria Frattolillo, Alessia Massa, Dalila Capone, Noemi Monaco, Gianmario Forcina, Pierluigi Di Filippo, Pierluigi Marzuillo, Emanuele Miraglia del Giudice, Anna Di Sessa

“…Despite these advancements, DHIs still face major challenges, including unequal access, data privacy concerns, and a lack of long-term outcome evaluations. …”
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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

“…In practical applications, this model demonstrated a PCC of 0.967 and an MAE of 0.685 K. …”
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The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

“…Despite the progress, challenges such as model transparency and data security remain. Future research should focus on overcoming these challenges while enhancing collaboration among international institutions to further advance AI applications in cardiovascular medicine.…”
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Endoscopic Full Thickness Resection Device (FTRD^®) for the Management of Gastrointestinal Lesions: Current Evidence and Future Perspectives by Magdalini Manti, Apostolis Papaefthymiou, Spyridon Dritsas, Nikolaos Kamperidis, Ioannis S. Papanikolaou, Konstantina Paraskeva, Antonio Facciorusso, Konstantinos Triantafyllou, Vasilios Papadopoulos, Georgios Tziatzios, Paraskevas Gkolfakis

“…This review synthesizes current clinical data and FTRD^® advantages. Despite its strengths, EFTR via FTRD^® incorporates challenges such as limitations in lesion size, procedural complexity, and potential adverse events. …”
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Exploring potential biosafety implications in DNA information storage by Shangzhe Li, Yue Shi, Jing Yang, Haizhou Liu, Lijia Jia, Di Liu

“…Deoxyribonucleic acid (DNA) information storage has emerged as a promising solution to address the challenges of traditional silicon-based data storage systems. However, the biosafety implications of artificially synthesized DNA sequences in this technology remain understudied. …”
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Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques by Shiue-Luen Chen, Ren-Hao Xie, Chong-You Chen, Jia-Wei Yang, Kuan-Yu Hsieh, Xin-Yi Liu, Jia-Yi Xin, Ching-Kai Kung, Johnson H. Y. Chung, Guan-Yu Chen

“…Image data acquisition and analysis from these chips are crucial for advancing research in the field. …”
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AquaE-lite Hybrid-Solar-Cell Receiver-Modality for Energy-Autonomous Terrestrial and Underwater Internet-of-Things by Meiwei Kong, Jiaming Lin, Yujian Guo, Xiaobin Sun, Mohammed Sait, Omar Alkhazragi, Chun Hong Kang, Jorge A. Holguin-Lerma, Malika Kheireddine, Mustapha Ouhssain, Burton H. Jones, Tien Khee Ng, Boon S. Ooi

“…Owing to the capability of detecting low-intensity optical signals, 20-m and 30-m long-distance lighting and optical wireless communication with data rates of 1.6 Mbit/s and 1.2 Mbit/s have been achieved on a laboratory testbed, respectively. …”
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