Industrial Design of High Voltage Flexible DC Converter Valve by Li QIAO, Jian XIE, Yunpeng LI, Chunyi GUO

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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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Pseudorandom Number Generator Based on Three Kinds of Four-Wing Memristive Hyperchaotic System and Its Application in Image Encryption by Xi Chen, Shuai Qian, Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Zelin Deng, Yi Li, Sichun Du

“…In this paper, we propose a method to design the pseudorandom number generator (PRNG) using three kinds of four-wing memristive hyperchaotic systems (FWMHSs) with different dimensions as multientropy sources. …”
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Generation of mouse and rat xenogeneic ovaries in vitro for production of mouse oocyte by Si Won Jang, Ye Rim Kim, Jae Ho Han, Hoon Jang, Hyun Woo Choi

“…Thus, studies on in vitro ovarian formation in other species are utilized as an introductory approach for in vitro mammalian gametogenesis by understanding the differences in culture systems between species and underlying mechanisms. In this study, we optimized the method of the entire oogenesis process from rat embryonic gonads. …”
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Peran Media Iklan Televisi Sebagai Media Kritik Sosial Kasus Korupsi (Studi Kasus Pada Iklan Djarum 76 Versi “Kontes Jin”) by Ita Suryani

“…Image that emerges from these ads is Djarum 76 care social problems that exist, which is then displayed in the form of parody, but full of meaning and social criticism. The method used in this study is case study method which is a research method that uses a variety of data sources that can be used to examine, comprehensively describe and explain the various aspects of individual, group, program, organization or event systematically. …”
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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

“…This review consolidates existing knowledge on key aspects, including data governance, quality management, privacy measures, ownership, access control, accountability, traceability, curation frameworks, and storage systems. Methods We conducted a systematic literature search up to January 10, 2024, across PubMed, MEDLINE, EMBASE, Scopus, and additional scholarly platforms to examine recent advances and challenges in managing the vast and complex datasets generated by these technologies. …”
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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

“…Although state-of-the-art deep learning-based OD methods achieve high detection rates, their large model size and high computational demands often hinder deployment on resource-constrained edge devices. …”
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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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Overview of Current and Future Perspectives of Saudi Arabian Natural Clinoptilolite Zeolite: A Case Review by Murad Alsawalha

“…This can be ascertained by determining the conditions together with the test parameters for the application of the “temperature-programmed desorption of ammonia” method in order to obtain an accurate determination of local Saudi clinoptilolite acidic centers. …”
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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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Hydrogen fueling station: review of the technological state of hydrogen fuel usage by A. A. Chichirov, R. I. Razakova, F. R. Gainutdinov, D. F. Gainutdinova

“…To develop suggestions for creating a modular layout of a container-type hydrogen station, which will allow a flexible approach to organizing hydrogen infrastructure with the possibility of rapid scaling and adaptation under various operating conditions.METHODS. Based on the use of literature data. The method of prototyping an autonomous hydrogen refueling station was used, and mathematical calculations of thermodynamic processes occurring in the components of HRS were conducted.RESULTS. …”
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Effects of therapeutic interventions on long COVID: a meta-analysis of randomized controlled trialsResearch in context by Chang Tan, Jiahao Meng, Xingui Dai, Baimei He, Pan Liu, Yumei Wu, Yilin Xiong, Heng Yin, Shuhao Wang, Shuguang Gao

“…Therefore, we conducted a meta-analysis to comprehensively explore the effectiveness of diverse therapeutic interventions in long COVID. Methods: In this meta-analysis, we searched PubMed, Cochrane Library, Embase, Web of Science, SPORTDiscus (EBSCO), CINAHL (EBSCO), and Rehabilitation & Sports medicine source (EBSCO) from inception to July 20, 2025, for randomized controlled trials (RCTs) evaluating exercise training, respiratory muscle training, telerehabilitation, transcranial direct current stimulation (tDCS), olfactory training, palmitoylethanolamide with luteolin (PEA-LUT), and steroid sprays in adults with Long COVID. …”
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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…Understanding how ML models (MLMs) can complement psychiatrists’ predictions and bridge the gap between MLM capabilities and practical use is key.Objective This vignette study aims to compare the performance of psychiatrists and MLMs in predicting short-term symptomatic and functional remission in patients with first-episode psychosis and explore whether MLMs can improve psychiatrists’ prognostic accuracy.Method 24 psychiatrists predicted symptomatic and functional remission probabilities at 10 weeks based on written baseline information from 66 patients in the OPtimization of Treatment and Management of Schizophrenia in Europe (OPTiMiSE) trial. …”
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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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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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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

“…Objective We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) to evaluate the efficacy and safety of Ketorolac administration, both as a monotherapy and in combination with other analgesics, for managing postoperative pain in adults undergoing lumbar spinal surgery. Methods We searched PubMed, EMbase, Web of Science, EBSCO, CNKI, WanFang, VIP, and Cochrane library databases through July 2024 for randomized controlled trials (RCTs) assessing the analgesic efficacy of Ketorolac administration for postoperative pain of lumbar surgery. …”
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