Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…ObjectiveThis study aimed to develop and validate a risk prediction model of 3-month mortality using machine learning (ML) in a large multicenter cohort of patients with anti-MDA5+DM-ILD in China. …”
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Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

“…The tuning process of hyperparameters such as learning rate, training function, and transfer function was presented in detail. …”
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A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study by Stijn Denissen, Delphine Van Laethem, Johan Baijot, Lars Costers, Annabel Descamps, Ann Van Remoortel, Annick Van Merhaegen-Wieleman, Marie D’hooghe, Miguel D'Haeseleer, Dirk Smeets, Diana M Sima, Jeroen Van Schependom, Guy Nagels

“…MethodsThe icognition screening battery consists of 3 tests: the Symbol Test for information processing speed, the Dot Test for visuospatial short-term memory and learning, and the visual Backward Digit Span (vBDS) for working memory. …”
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Ovarian Reserve: A Critical Indicator of Female Reproductive Health by Julia Ufnal, Anna Wolff, Maria Morawska, Dominika Lewandowska, Dominika Rosińska-Lewandoska, Marcelina Szewczyk, Klaudia Kożuchowska, Dawid Pilarz, Kinga Jarosz, Szymon Gruszka

“…Newly approaches, like machine learning models and AMH-based screening programs in countries like Portugal emerge. …”
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A multimodal transformer system for noninvasive diabetic nephropathy diagnosis via retinal imaging by Zheyi Dong, Xiaofei Wang, Sai Pan, Taohan Weng, Xiaoniao Chen, Shuangshuang Jiang, Ying Li, Zonghua Wang, Xueying Cao, Qian Wang, Pu Chen, Lai Jiang, Guangyan Cai, Li Zhang, Yong Wang, Jinkui Yang, Yani He, Hongli Lin, Jie Wu, Li Tang, Jianhui Zhou, Shengxi Li, Zhaohui Li, Yibing Fu, Xinyue Yu, Yanqiu Geng, Yingjie Zhang, Liqiang Wang, Mai Xu, Xiangmei Chen

“…To reform the traditional biopsy-all diagnostic paradigm and avoid unnecessary biopsy, we developed a transformer-based deep learning (DL) system for detecting DN and NDRD upon non-invasive multi-modal data of fundus images and clinical characteristics. …”
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Radiomics signature for dynamic monitoring of tumor inflamed microenvironment and immunotherapy response prediction by Enriqueta Felip, Paolo Nuciforo, Elena Garralda, Joan Frigola, Ramon Amat, Garazi Serna, Francesco Grussu, Kinga Bernatowicz, Olivia Prior, Marta Ligero, Christina Zatse, Rodrigo Toledo, Manel Escobar, Raquel Perez-Lopez

“…Subsequently, a pan-cancer CT-radiomic signature predicting inflamed TIME (CT-TIME) was developed and externally validated. Machine learning was employed to select robust radiomic features and predict inflamed TIME. …”
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Bilateral synchronous UBE for unilateral laminotomy and bilateral decompression as a potentially effective minimally Invasive approach for two-level lumbar spinal stenosis by Yulin Zhao, Yingjun Guo, Xin Pan, Hao Li, Xianlei Gao, Haipeng Si, Wanlong Xu

“…Unilateral biportal endoscopy (UBE ) is more popular in treating LSS and is a more flexible operation, with small trauma, quick recovery, and a gentle learning curve. In addition, many studies have proven the good clinical efficacy of unilateral biportal endoscopy7. …”
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Subtyping Social Determinants of Health in the "All of Us" Program: Network Analysis and Visualization Study by Suresh K Bhavnani, Weibin Zhang, Daniel Bao, Mukaila Raji, Veronica Ajewole, Rodney Hunter, Yong-Fang Kuo, Susanne Schmidt, Monique R Pappadis, Elise Smith, Alex Bokov, Timothy Reistetter, Shyam Visweswaran, Brian Downer

“…However, the high degree of systematic missingness requires repeating the analysis as the data become more complete by using our generalizable and scalable machine learning code available on the All of Us workbench.…”
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Analisis Perilaku Entitas untuk Pendeteksian Serangan Internal Menggunakan Kombinasi Model Prediksi Memori dan Metode PCA by Rahmat - Budiarto, Yanif Dwi Kuntjoro

“…The proposed model (PCA-MPM) is also capable of performing on-the-fly learning where this capability is needed to recognize feature changes in attacks that evolve over time. …”
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Efficacy of the internet-based intervention “Cultivating our resilience” (CORE) for improving resilience and coping strategies in university students: A randomized controlled trial... by Rocio Herrero, Marvin Franke, Dennis Görlich, Azucena Garcia-Palacios, Rosa Baños, Corinna Jacobi, Thomas Berger, Michael P. Schaub, Tobias Krieger, David D. Ebert, Cristina Botella

“…A total of 493 students with low levels of resilience participated in the study.Participants in the intervention group gained access to an internet-based program aiming to enhance resilience by learning to cope with stressors in daily life, promote self-empowerment, and improve well-being. …”
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An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

“…The vast amount of Landsat-8 SIC generated in this study may also be used to train deep-learning models for the estimation of Arctic SIC coverage. …”
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Investigation on research innovation ability and training demand of clinical nursing staff (临床护理人员科研创新能力及培训需求现况调查) by YAN Xin (闫欣), QI Lixia (祁丽霞), WANG Zheng (王征), WEI Rui (卫蕊), LI Bin (李斌)

“…There was an urgent need for the training of patent innovation, scientific research and other stages; Lack of confidence in the competence of scientific research and innovation; Sufficient understanding of the necessity of carrying out research and innovation ability training; willingness of participating in various forms of nursing research training; Most nurses believed that scientific training and learning is for self-improvement. Conclusion At present, the level of scientific research innovation of clinical nursing staff is low, and there is a strong demand for training in scientific research innovation. …”
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New era towards autonomous additive manufacturing: a review of recent trends and future perspectives by Haolin Fan, Chenshu Liu, Shijie Bian, Changyu Ma, Junlin Huang, Xuan Liu, Marshall Doyle, Thomas Lu, Edward Chow, Lianyi Chen, Jerry Ying Hsi Fuh, Wen Feng Lu, Bingbing Li

“…Additionally, this paper discusses the role of AI in self-optimization and lifelong learning, positing that the future of AM will be characterized by a symbiotic relationship between human expertise and advanced autonomy, fostering a more adaptive, resilient manufacturing ecosystem.…”
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A comprehensive environmental index for monitoring ecological quality of typical alpine wetlands in Central Asia by Jiudan Zhang, Junli Li, Changming Zhu, Anming Bao, Amaury Frankl, Philippe De Maeyer, Tim Van de Voorde

“…This study employed a deep-learning semantic segmentation model to map the structural changes of the Bayanbulak alpine wetland using Landsat imagery from 1977 to 2022. …”
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Early prediction of long COVID-19 syndrome persistence at 12 months after hospitalisation: a prospective observational study from Ukraine by Dmytro Chumachenko, Tetyana Chumachenko, Oleksii Honchar, Tetiana Ashcheulova

“…Logistic regression and machine learning-based binary classification models have been developed to predict the persistence of LCS symptoms at 12 months after discharge.Conclusions Compared with post-COVID-19 patients who have completely recovered by 12 months after hospital discharge, those who have subsequently developed ‘very long’ COVID were characterised by a variety of more pronounced residual predischarge abnormalities that had mostly subsided by 1 month, except for steady differences in the physical symptoms levels. …”
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KEMAMPUAN LITERASI SAINS SISWA SMA DI KOTA KENDARI: DESKRIPSI & ANALYSIS by Erniwati Erniwati, Istijarah istijarah, La Tahang, Hunaidah Hunaidah, Vivi Hastuti Rufa Mongkito, Suritno Fayanto

“…Keywords—Science literacy, Physics learning …”
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Penerapan Model Technology Readiness Index untuk Mengukur Tingkat Kesiapan Mahasiswa dalam Penerimaan Sistem E-Polvot by M Khairul Anam, Fransiskus Zoromi, Soni, Torkis Nasution, Khusaeri Andesa

“…The election process offers three types of lecture schedules: regular daytime from 08:00 to 17:00, evening lectures from 17:45 to 09:30, and non-regular lectures held during weekends for distance or online learning. Consequently, regular evening and non-regular students often abstain from voting or participating in the election due to the daytime scheduling. …”
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Establishing a radiomics model using contrast-enhanced ultrasound for preoperative prediction of neoplastic gallbladder polyps exceeding 10 mm by Dong Jiang, Yi Qian, Yijun Gu, Ru Wang, Hua Yu, Zhenmeng Wang, Hui Dong, Dongyu Chen, Yan Chen, Haozheng Jiang, Yiran Li

“…This model, derived from machine learning frameworks including Support Vector Machine (SVM), Logistic Regression (LR), Multilayer Perceptron (MLP), k-Nearest Neighbors (KNN), and eXtreme Gradient Boosting (XGBoost) with fivefold cross-validation, showed AUCs of 0.95 (95% CI: 0.90–0.99) and 0.87 (95% CI: 0.72–1.0) in internal validation. …”
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Relato de uma extensão em tempos de isolamento social: Criação de um recurso educacional sobre matemática na pandemia de COVID-19 by Leila Thomazelli Thieghi, Fabio Luiz Sant'Anna Cuppo

“…Throughout the text, several of the topics addressed by the project are presented, as well as its societal impact, its contribution to the learning of undergraduate students involved in the extension program, and the project's outcomes, such as invitations for lectures and interviews, culminating in the proposal of a highly useful educational resource for high school and university students and teachers. …”
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Application of multiple interactive teaching methods in clinical nursing teaching (多元互动式教学方法在临床护理教学中的应用) by WANG Shangying (王尚莹), LI Tong (李彤), LI Qingling (李庆玲), GAO Donghua (高冬华), TANG Ling (唐玲)

“…Conclusion The multi-interactive teaching model can deepen the learning of theoretical knowledge and improve the comprehensive quality of nursing students. …”
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