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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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…BN models may be a useful method to identify clusters of symptoms that predict PsA with reasonable accuracy. …”
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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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Development and study of mucoadhesive microcapsules for the nasal levodopa delivery by D. S. Gordeeva, V. V. Khutoryanskiy, R. I. Moustafine

“…The amount of released drug was determined using an Evolution™ 220 UV spectrophotometer (Thermo Fisher Scientific, USA) at a wavelength of 202 nm.Results and discussion. A method for MC preparation was developed, the device parameters and the optimal composition of microparticles were selected. …”
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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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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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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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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

“…Specifically, the research first utilizes high-resolution satellite remote sensing images as the basic data source, and ensures data quality through preprocessing measures such as image correction and enhancement. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Collect NHS costs involved in delivering the new pathway and compare with cost of standard pathway calculated from NHS and other sources. Objectives 1 and 2: development of statistical models and diagnostic accuracy Methods Men presenting to their GP with LUTS were recruited prospectively from GP practices in Bristol, Newcastle upon Tyne and Wales. …”
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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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Multi-scale remote sensing for sustainable citrus farming: Predicting canopy nitrogen content using UAV-satellite data fusion by Dagan Avioz, Raphael Linker, Eran Raveh, Shahar Baram, Tarin Paz-Kagan

“…Accurate monitoring of nitrogen (N) levels, while accounting for spatiotemporal variability is crucial for optimizing fertilization in citrus orchards. Traditional methods, such as frequent leaf and soil sampling followed by laboratory analysis, are costly, labor-intensive, and prone to human error. …”
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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

“…Using these observational health care data, we developed machine learning–based prediction models using the observational health data sciences and informatics open-source patient-level prediction package in R (version 4.1.0; R Foundation for Statistical Computing). …”
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The efficacy and safety of ketorolac for postoperative pain management in lumbar spine surgery: a meta-analysis of randomized controlled trials by Jianbin Guan, Ningning Feng, Kaitan Yang, Haimiti Abudouaini, Peng Liu

“…Future research should focus on standardizing protocols and exploring optimal dosing strategies. Additionally, long-term safety and effectiveness studies are needed to better understand Ketorolac’s role in postoperative pain management.…”
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Agricultural Development Abilities in Darab County and Predicting Its Results on Rural Development by Sirus Ghanbari, Mohsen shayan, Saeideh Rashidi, Faezeh Ebrahimipour, Mohammad Karim Raesi

“…The mainstay of the economic and social system of most countries is the largest source of employment. Anecare develops a very important opportunity to reduce malnutrition. …”
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A Comparative Analysis of Energy Efficiency of Two Sprinkler Irrigation Systems for Wheat Cultivation (Case Study: Dehgolan Plains, Kurdistan) by P. Tahmasbi, F. Dalvand, S.A. Hosseini, B. Karimi, H. Ghadrshnas

“…Among the numerous challenges facing the agricultural sector, optimizing energy or input consumption is of paramount importance. …”
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