Antimicrobial photodynamic therapy in onychomycosis management: A systematic review of clinical trials by Renata de Oliveira Alves, Lara Oliveira Ribeiro Urzedo, Priscila Toninatto Alves de Toledo, Carla Ferreira-Baptista, Matheus Henrique Faccioli Ragghianti, Thais Cristina Pereira, Larissa Pereira Nunes, Rui Damazio Alvites, Gabriel Pereira Nunes

“…This systematic review aimed to assess the effectiveness of aPDT in managing onychomycosis. Methods: Conducted according to PRISMA guidelines and registered in PROSPERO (CRD42024520247), this review included clinical trials evaluating the antimicrobial efficacy of aPDT for onychomycosis. …”
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PREVALENCE AND RISK FACTORS ASSOCIATED WITH NON-ALCOHOLIC STEATOHEPATITIS IN PATIENTS WITH RHEUMATOID ARTHRITIS ON HYDROXYCHLOROQUINE: A POPULATION-BASED STUDY by Antoine BOUSTANY, Somtochukwu ONWUZO, Adejoke JOHNSON, David FARHAT, Mimi NAJJAR, Hadi Khaled Abou ZEID, Chidera N ONWUZO, Mohamad-Noor ABU-HAMMOUR, Rashid ABDEL-RAZEQ, Islam MOHAMED, Barish EREN, Imad ASAAD

“…Our research fills this gap by examining the prevalence and risk factors of developing NASH in patients with RA on HCQ. Methods: This retrospective cohort study analyzed 619,350 adult patients diagnosed with RA. …”
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PFO‐ACCESS: Augmenting Communications for Medical Care or Closure in the Evaluation of Patients With Stroke With Cardiac Shunts by Yasaman Pirahanchi, Benjamin Shifflett, Ehtisham Mahmud, Stefanie Brennan, Dawn M. Meyer, Melissa Mortin, Lovella Hailey, Jeffrey Bowers, Vikas Ravi, Julián Carrión, Reza Bavarsad, Kunal Agrawal, Royya Modir, Thomas Hemmen, Brett C. Meyer

“…Future efforts should focus on expanding outpatient use and increasing provider education to optimize PFO management.…”
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Second-generation downscaled earth system model data using generative machine learningOEDI by Grant Buster, Brandon N. Benton, Deeksha Rastogi, Shih-Chieh Kao, Guilherme Castelao, Jordan Eisenman

“…This dataset builds on the first-generation Sup3rCC data by applying improved bias correction methods and adding downscaled precipitation to the output variables. …”
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Identification and Characterization of Endophytic Fungus DJE2023 Isolated from Banana (<i>Musa</i> sp. cv. Dajiao) with Potential for Biocontrol of Banana Fusarium Wilt by Longqi Jin, Rong Huang, Jia Zhang, Zifeng Li, Ruicheng Li, Yunfeng Li, Guanghui Kong, Pinggen Xi, Zide Jiang, Minhui Li

“…Research on the biological characteristics of DJE2023 indicated lactose as the optimal carbon source for its growth, while maltose favored sporulation. …”
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The Design and Deployment of a Self-Powered, LoRaWAN-Based IoT Environment Sensor Ensemble for Integrated Air Quality Sensing and Simulation by Lakitha O. H. Wijeratne, Daniel Kiv, John Waczak, Prabuddha Dewage, Gokul Balagopal, Mazhar Iqbal, Adam Aker, Bharana Fernando, Matthew Lary, Vinu Sooriyaarachchi, Rittik Patra, Nora Desmond, Hannah Zabiepour, Darren Xi, Vardhan Agnihotri, Seth Lee, Chris Simmons, David J. Lary

“…The project demonstrates the synergy between IoT sensor data, machine learning-enhanced calibration, and forecasting methods, contributing to scientific understanding of microenvironments, human exposure, and public health impacts of urban air quality. …”
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Tribological properties of polymer like carbon coatings on NBG-18 nuclear graphite under nitrogen environment by HAN Hai, LIU Huichuan, CHENG Jinjuan, CHEN Xinchun, LIU Pengxiao, QI Wei, TANG Xian

“…This friction generates a considerable amount of graphite dust, which poses a risk to the proper functioning of nuclear reactors.PurposeThis study aims to address the issues of friction and wear experienced by nuclear graphite on the surface of spherical fuel elements in HTGR by utilizing surface modification technology to enhance the mechanical and tribological properties of NBG-18 nuclear graphite.MethodsFirstly, NBG-18 graphite, sourced from SGL Group-The Carbon Company, Germany, was cut into blocks with dimensions of 20 mm×20 mm×5 mm, and a polymer-like carbon (PLC) coating was applied to NBG-18 nuclear graphite using a high-energy ion beam deposition (IBD) process with preprocessing of cleaning, sample loading, vacuuming, transition layer deposition, functional layer deposition, and sampling, resulting in a total coating thickness of approximately 400 nm. …”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…However, the process of translating paper-based guidelines into electronic algorithmic formats is often complex, inefficient, expensive, and error-prone due to reliance on advanced software development skills and clinical knowledge. Methods In response to these challenges, we developed open-source software called the Medical Algorithm Suite (medAL-suite), consisting of four components, with a primary goal of increasing efficiency, accuracy, and transparency of CDSS creation by giving experienced clinicians, rather than software developers, greater control over the process. …”
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SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

“…Experiments comparing ten multi-source data combinations indicated that the visible-spectral index-SAR scheme performed optimally. …”
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Differential effects of plant protein ratio on renal function and mortality across CKD stages by Guoyi Wang, Qiong Yi, Xueqin Zhang, Min Zhou, Jinwen Zhao, Haiyuan Lu, Ju Li, Ju Li, Deqian Meng, Deqian Meng, Yong Xu, Kai Wang, Kai Wang

“…BackgroundWhile plant protein has been suggested to offer renoprotective benefits, the optimal proportion of dietary plant protein and its relationship with outcomes across different stages of chronic kidney disease (CKD) remains unclear.MethodsUsing data from the National Health and Nutrition Examination Survey (NHANES), we examined the association between plant protein ratio and estimated glomerular filtration rate (eGFR) across CKD stages. …”
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Prognostic value and immunotherapy analysis of immune cell-related genes in laryngeal cancer by Sen Zhang, Jianrui Pan, Huina Guo, Xiaoya Guan, Chenxu Yan, Lingling Ji, Xiansha Wu, Hui Huangfu

“…This study aims to develop a prognostic model based on immune cell-related genes and examine the TME in LC. Methods RNA-seq data for LC were sourced from The Cancer Genome Atlas (TCGA), and GSE27020 and GSE51985 datasets were retrieved from the Gene Expression Omnibus (GEO) database. …”
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Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis by Gregory Wood, Reza Hajhosseiny, Alexandra Uglebjerg Pedersen, Simon Littlewood, Tina Juul Hansen, Radhouene Neji, Karl P. Kunze, Jens Wetzl, Bjarne Linde Nørgaard, Jesper Møller Jensen, Michael Maeng, Per Lav Madsen, Niels Vejlstrup, Claudia Prieto, René M. Botnar, Won Yong Kim

“…Additionally, the study incorporates the utilization of standardized postprocessing with sliding-thin-slab multiplanar reformatting, in combination with evaluation of the source images, to optimize the visualization of coronary artery stenosis. …”
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Assessment of salt tolerance in peas using machine learning and multi-sensor data by Zehao Liu, Qiyan Jiang, Yishan Ji, Rong Liu, Hongquan Liu, Xiuxiu Ya, Zhenxing Liu, Zhirui Wang, Xiuliang Jin, Tao Yang

“…The results show that: 1) multi-source data fusion significantly improved the accuracy of AGB and SPAD estimation; 2) the CatBoost algorithm achieved the highest performance for AGB estimation (R² = 0.70, RMSE = 1.59 t/hm2, NRMSE = 13.94 %), while the LightGBM algorithm performed best for SPAD estimation (R² = 0.60, RMSE = 2.33, NRMSE = 14.53 %); and 3) The PSTS established based on the optimal estimation data exhibits a strong consistency with the ground-measured data. …”
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Physiological effects and technical strategies of LED supplemental lighting for pitaya cultivation: a review by Ren Chen, Yiming Ding, Wenke Liu, Xianwei Zhan, Kexin Lin, Kaifeng Lian, Weilong Chen, Keyu Wang, Shangfei Lin

“…It also analyzes existing challenges and proposes strategies such as optimizing LED light source design, accurately planning supplemental light periods and durations, and establishing three-dimensional lighting methods. …”
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Knowledge and Practice Regarding Pressure Injury Prevention among Nurses at King Abdul-Aziz Specialist Hospital by Afnan Sahrah, Wafaa Althobaiti, Sahar Albalawi, Ensherah Althobiti, Turki Alfattah, Abdulellah Almalki, Ahlam Alotaibi, Maha Alkhaldi, Talal Alqurashi, Faten Sahrah, Munirah Alfifi, Rami Alnemari, Alaa Alzahrani

“…Aim: To determine knowledge and practice regarding pressure injury prevention among nurses at King Abdulaziz Specialist Hospital (KAASH).  Methods: A cross-sectional descriptive research design was utilized in the current study. …”
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Good Arts, Good Mental Health®: the effectiveness of an Australian health promotion media campaign in promoting community mental wellbeing via the arts by Christina R. Davies, Melanie T. Pescud, Rhonda Clifford, Richard McGrath, Annie Thomson, Mia Jeffrey, Melissa Stoneham, Terri Pikora, Peter Wright, Sonya Girdler, Sonya Girdler, Loretta Baldassar, Stephen Clift

“…To gauge the success of the campaign, a process evaluation and (short-term) outcome evaluation were conducted by sourcing online analytics and conducting an online survey of the campaign target group (n = 661).ResultsOverall, campaign reach and frequency were optimal and met set targets. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…There is still a gap in research in this field both domestically and internationally, and there is an urgent need for a scientific and systematic monitoring system to support the effective promotion of the special work of “net uncovering for greening”.MethodsTaking the special work of “net uncovering for greening” in Beijing as an example, this research combines the technical means of remote sensing interpretation and deep learning with the U-Net model to train the samples of tarpaulin cover. …”
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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive... by Boqun Shi, Liangguo Chen, Shuo Pang, Yue Wang, Shen Wang, Fadong Li, Wenxin Zhao, Pengrong Guo, Leli Zhang, Chu Fan, Yi Zou, Xiaofan Wu

“…Qwen-2 and Llama-3 are high-performance, open-source large language models (LLMs) available online. …”
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The Effect of Sowing Date on Yield and Quality Characteristics of Autumn Sugar Beet (Beta vulgaris L.) Cultivars in Gonbad Kavous by E Paserakloo, A Biabani, S Yarahamdi, A Saberi, M Naeemi, F Taliei

“…Also, bolting rate between sowing dates is different.Materials and MethodsThe aim of the present study was to investigate the quality and strength changes in the sugar beet in order to assess effect of different sowing dates and cultivars on sugar and root yield. …”
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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study by Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

“…ObjectiveThis study aimed to use the Observational Medical Outcomes Partnership Common Data Model to develop a predictive model by applying machine learning algorithms that can effectively predict major adverse cardiac and cerebrovascular events (MACCE) in patients undergoing noncardiac surgery. MethodsThis retrospective observational network study collected data by converting electronic health records into a standardized Observational Medical Outcomes Partnership Common Data Model format. …”
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