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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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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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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Scientific land greening under climate change: Theory, modeling, and challenges by Jia-Na Chen, Zai-Chun Zhu, Sen Cao, Peng-Jun Zhao, Pei Liu, Da-Jing Li, Wei-Min Wang, Yue Chen

“…This review underscored the importance of proactively implementing land greening programs and provided guidelines for scientific greening based on cutting-edge theory and methods.…”
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Exploration and research progress on the integrated technology of coalbed methane development, gas control, and methane emission reduction by Shuxun SANG, Honggao XIE, Zhihua YAN, Shiqi LIU, Xiaozhi ZHOU, Sijie HAN, Sijian ZHENG, Fansheng HUANG

“…Given the “triple” attributes of coal methane as an energy source, a disaster gas, and a greenhouse gas, developing integrated technologies for its development, management, and emission reduction is vital to enhance efficient production and utilization and ensure energy, production, and ecological security. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…Despite advancements, significant challenges persisted in balancing data ownership with research accessibility, integrating heterogeneous data sources, ensuring platform interoperability, and maintaining data quality. …”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
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Psycho-emotional conditions in primary care physicians who serve in a direct vicinity to the frontline by Larysa Kupriianova, Daryna Kupriianova

“…Concepts, visions and recommendations were created to optimize both the psycho-emotional well-being of first-line medical specialists and their more optimized social inclusion into civilian post-war professional and social life. …”
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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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Thermo-hydro-mechanical coupling mechanisms and sensitivity analysis of abandoned mine thermal energy storage systems by Liyuan LIU, Yaohui LI, Tao WANG, Tongbin ZHAO, Qiang KOU, Zerui MI, Le ZHANG

“…Consequently, numerous thermal utilization projects focusing on abandoned mine water have entered research phases, particularly in European countries facing energy crises that urgently require improved energy efficiency or novel energy sources, to optimize existing supply structures. Compared with direct utilization of mine water thermal resources, seasonal thermal energy storage utilizing mine environments appears more attractive. …”
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FAUNA OF GASTROINTESTINAL STRONGYLATES OF SHEEP AND GOATS ON THE TERRITORY OF THE CHECHEN REPUBLIC by M. M. Salmanova, R. H. Gairabekov

“…Livestock is one of the main sources of protein human nutrition. Helminthiases infections are one of the limiting factors in animal husbandry. …”
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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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Development and validation of identification algorithms for five autoimmune diseases using electronic health records: a retrospective cohort study in China by Junting Yang, Junting Yang, Yunxiao Wu, Yunxiao Wu, Jinxin Guo, Jinxin Guo, Xiaoxuan Wang, Xiaoxuan Wang, Xin Gao, Xin Gao, Xin Chen, Xin Chen, Mengdi Zhang, Mengdi Zhang, Jin Yang, Zuojing Liu, Yan Liu, Zhike Liu, Zhike Liu, Siyan Zhan, Siyan Zhan, Siyan Zhan, Siyan Zhan

“…Algorithms for IBD and ITP required synthesis of multiple data sources to achieve acceptable performance (IBD: sensitivity 79.66%, PPV 70.15%; ITP: sensitivity 62.50%, PPV 70.00%). …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…The proposed OCO-2 SIF data reconstruction method in this study holds the potential to provide a more reliable SIF dataset. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…Through numerical experiments using real-world semiconductor manufacturing data, we demonstrate that sensor selection based on economic value can lead to significantly different outcomes compared to conventional methods. Our findings show the importance of considering both economic benefit and cost factors in sensor selection, particularly in applications involving multiple sensor clusters or heterogeneous data sources.…”
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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

“…IntroductionIn many countries of the world, sugar production is one of the essential aspects of their agricultural economy, and in the meantime, the sugar beet plant, which is cultivated exclusively as a source of sucrose, plays an important role. In recent years, many studies have been conducted in Iran on various aspects of crop, breed, quality and other agricultural characteristics of autumn sugar beet. …”
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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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