Application of an improved pelican optimization algorithm based on comprehensive strategy in PV parameter identification by Xu Yong, Sang Bicong, Zhang Yi

“…Abstract This paper proposes an improved Pelican optimization algorithm (IPOA) based on comprehansive strategy for the parameter identification of photovoltaic models. …”
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Online-Offline Optimized Motion Profile for High-Dynamic Positioning of Ultraprecision Dual Stage by Yang Liu, Yue Dong, Jiubin Tan

“…Offline step includes the system model identification based on I/O data and parameter self-learning based on particle swarm optimization (PSO). …”
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Group antenatal care positively transforms the care experience: Results of an effectiveness trial in Malawi. by Crystal L Patil, Kathleen F Norr, Esnath Kapito, Li C Liu, Xiaohan Mei, Elizabeth Chodzaza, Genesis Chorwe-Sungani, Ursula Kafulafula, Elizabeth T Abrams, Allissa Desloge, Ashley Gresh, Rohan D Jeremiah, Dhruvi R Patel, Anne Batchelder, Heidy Wang, Jocelyn Faydenko, Sharon S Rising, Ellen Chirwa

“…<h4>Background</h4>We developed and tested a Centering-based group antenatal (ANC) model in Malawi, integrating health promotion for HIV prevention and mental health. …”
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Machine learning consensus clustering for inflammatory subtype analysis in stroke and its impact on mortality risk: a study based on NHANES (1999–2018) by Zhang Chunjuan, Wang Yulong, Zhou Xicheng, Ma Xiaodong

“…Weighted multivariate logistic regression was used to construct different models; consensus clustering methods were employed to subtype stroke patients based on inflammatory marker levels; LASSO regression analysis was used to construct an inflammatory risk score model to analyze the survival risks of different inflammatory subtypes; WQS regression, Cox regression, as well as XGBoost, random forest, and SVMRFE machine learning methods were used to screen hub markers which affected stroke prognosis; finally, a prognostic nomogram model based on hub inflammatory markers was constructed and evaluated using calibration and DCA curves.ResultsA total of 918 stroke patients with a median follow-up of 79 months and 369 deaths. …”
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ALPD-Net: a wild licorice detection network based on UAV imagery by Jing Yang, Huaibin Qin, Jianguo Dai, Guoshun Zhang, Miaomiao Xu, Yuan Qin, Jinglong Liu

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Visual impairment prevention by early detection of diabetic retinopathy based on stacked auto-encoder by Shagufta Almas, Fazli Wahid, Sikandar Ali, Ahmed Alkhyyat, Kamran Ullah, Jawad Khan, Youngmoon Lee

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The Effect of Digital Literacy, Soft Skills, and Learning Motivation on Student Learning Achievement by Uli Aznikhah, Suci Fitriyani, Edy Hartono

“…Based on these results, it can be concluded that digital literacy and soft skills have a positive and significant effect on student learning achievement at private universities in Cirebon. …”
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Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes by Xunjie Yang, Weng Lan, Chunyi Lin, Chunyu Zhu, Zicong Ye, Zhishi Chen, Guian Zheng

“…This study used bioinformatics and machine learning to explore the relationship between mitochondrial energy metabolism-related genes (MEMRGs) and immune infiltration in AF. …”
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Advancing offline magnetic resonance-guided prostate radiotherapy through dedicated imaging and deep learning-based automatic contouring of targets and neurovascular structures by Philipp Schubert, Matthias May, Daniel Höfler, Hans-Peter Fautz, Jana Hutter, Ricarda Merten, Sina Mansoorian, Thomas Weissmann, Lisa Deloch, Miriam Schonath, Nathalia Belmas, Felix Grabenbauer, Benjamin Frey, Udo Gaipl, Bernd-Niklas Axer, Juliane Szkitsak, Michael Uder, Christoph Bert, Rainer Fietkau, Florian Putz

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Major depressive disorder recognition based on electronic handwriting recorded in psychological tasks by Chong Li, Kunxue Zhang, Qunxing Lin, Shan Huang, Wanying Cheng, Yueshiyuan Lei, Xinyu Zhao, Jiubo Zhao

“…Methods A total of 130 patients and 117 healthy controls completed 21 psychology-related handwriting tasks. …”
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Identifying and Ranking the Challenges and Strategies of Academic Resilience based on the Integration of Thematic analysis and the House of quality by Dariush Mohamadi Zanjirani, Shahla Shahpari

“…Prioritization of educational resilience packages for literate students over 49 years old Rank Weighted score Academic resilience packages 1 5.910 Family counseling and literacy rehabilitation 2 5.427 Material and Spiritual Incentives for Literate Students 3 5.395 Fostering Social Interaction in Post-Literacy Contexts 4 5.288 Providing Coaching and Promoting a Positive Classroom Environment 5 5.144 Utilizing Educational Resources and Experimental Learning Methods 6 5.124 Implementing Extracurricular Activities to Enhance Learning 7 4.951 Developing Alternative Learning Materials, Such as Workbooks 8 4.322 Promoting Identity and Cultural Awareness 9 4.111 Increasing Training Budgets and Enhancing Support for Educators 10 3.570 Revising the Targeted and Practical Content of Transition Courses 11 3.506 Implementing Age-Appropriate Classroom Segregation   Discussion and Conclusion:     In this study, the theme network comprises seven overarching themes at its core, six organizing themes that serve as subsets of the overarching themes, and 26 basic themes. …”
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Research on the Influence of Virtual Reality on the Learning Effect of Technical Skills of Science and Engineering College Students: Meta-Analysis Based on 32 Empirical Studies by Yan Ma, Lu Zhang, Min Wu

“…Virtual reality technology (VR) has been widely used in education and teaching, but the results of a large number of experimental studies on the impact of VR on students’ technical skill learning are not consistent. In this study, a meta-analysis method was used to conduct in-depth quantitative analysis of 32 experimental or quasi-experimental research literatures based on virtual reality in the past 20 years. …”
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A study on how to improve students' continuance intention in landscape architecture conservation course within a virtual learning environment based on SVVR by Yang Li, Yi Yang, Silu Bao

“…While university curricula begin to focus on this area, the shortcomings of conventional teaching methods are apparent, especially in technology-supported learning. …”
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Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

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Impact of Learning Disaster Based on SETS (Science, Environment, Technology, Society) Integrated Wisdom Local in Resilience and Mitigation Disaster Eruption Mountain Fiery by Nur Anisa'a Hanum, Setyo Eko Atmojo, Mitha Dwi Anggriani

“…The results showed that SETS-based disaster learning integrated with local wisdom had a significant positive effect on students' abilities in resilience and disaster mitigation. …”
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Competency-based teacher education (CBTE): A training module to improve knowledge, attitude, and practices (KAP) of school teachers on learning disabilities in children by Ravichandran Rajesh, Zeanath Cariena Joseph

“…Competency-based teacher education (CBTE) is a framework in which teachers demonstrate their learned knowledge, attitude, and skills in order to achieve specific predetermined “competencies” for a specific course or at a specific educational institution. …”
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Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study by Zhaonan Sun, Pengsheng Wu, Tongtong Zhao, Ge Gao, Huihui Wang, Xiaodong Zhang, Xiaoying Wang

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Machine Learning-Based Prediction of Post-Operative Systemic Inflammatory&amp;nbsp;Response Syndrome Following Pediatric&amp;nbsp;Percutaneous Nephrolithotripsy by Abudurexiti N, Liu B, Wang S, Dong Q, Batuer M, Liu Z, Li X

“…Nueraili Abudurexiti, Bide Liu, Shuheng Wang, Qiang Dong, Maimaitiaili Batuer, Zewei Liu, Xun Li Department of Urology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, 830001, People’s Republic of ChinaCorrespondence: Xun Li, Department of Urology, People’s Hospital of Xinjiang Uygur Autonomous Region, No. 91, Tian-Chi Road, Tianshan District, Urumqi, Xinjiang, 830001, People’s Republic of China, Email xjmnlixun@163.comObjective: This study aimed to develop and validate a machine learning-based model for predicting systemic inflammatory response syndrome (SIRS) in pediatric patients undergoing percutaneous nephrolithotripsy (PCNL) and to establish a prediction platform specifically tailored for this population.Methods: We retrospectively analyzed clinical data from 410 pediatric patients who underwent PCNL at the People’s Hospital of Xinjiang Uygur Autonomous Region between January 2013 and September 2024. …”
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Interpretable machine learning approaches for predicting prostate cancer by using multiple heavy metal exposures based on the data from NHANES 2003–2018 by Zu-Ming You, Yuan-Sheng Li, Fan-Shuo Meng, Rui-Xiang Zhang, Chen-Xi Xie, Zhijiang Liang, Ji-Yuan Zhou

“…Among the eight ML models evaluated, the random forest (RF) algorithm showed superior performance, achieving an accuracy of 72.835 %, an area under the receiver operating characteristic curve (AUC) of 0.869, an F1 score of 0.145, a G-mean of 0.749, and a Youden index of 0.498 in the test set. Four interpretable methods were integrated into the ML model. RF found that specific levels of blood lead (Pb) (0.449–29.964 µg/dL), urinary cesium (Cs) (1.822–270.426 µg/L), and urinary antimony (Sb) (0.015–4.953 µg/L) were positively associated with the PCA risk, while blood cadmium (Cd) (0.247–9.025 µg/L) showed a negative association. …”
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Prediction of Ki-67 Expression in HIV-Associated Lung Adenocarcinoma Patients Using Multiple Machine Learning Models Based on CT Imaging Radiomics by Song C, Chen J, Zhao C, Song S, Yang T, Huang A, Liu R, Pan Y, Xu C, Chen C, Zhu Q

“…This study aims to explore the feasibility and value of a radiomics model based on preoperative CT images in predicting Ki-67 expression levels in HIV-associated LUAD.Patients and Methods: A total of 237 patients with HIV-associated LUAD were included. …”
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