SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

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A Meta-Heuristic Algorithm-Based Feature Selection Approach to Improve Prediction Success for Salmonella Occurrence in Agricultural Waters by Murat Canayaz, Murat Demir, Zeynal Topalcengiz

“…The meta-heuristic optimization algorithms for the feature selection process followed by machine learning classification methods yielded a prediction accuracy between 93.57 and 95.55%. …”
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AI-Driven UAV Surveillance for Agricultural Fire Safety by Akmalbek Abdusalomov, Sabina Umirzakova, Komil Tashev, Nodir Egamberdiev, Guzalxon Belalova, Azizjon Meliboev, Ibragim Atadjanov, Zavqiddin Temirov, Young Im Cho

“…Traditional fire-detection methods, relying on satellite imagery and ground-based sensors, often suffer from delayed response times and high false-positive rates, limiting their effectiveness in mitigating fire-related damages. …”
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A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images by Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth

“…In this work, a similar framework for classification of COVID-19 using CT scans is proposed. The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. …”
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Comparison and Evaluation of the Effectiveness of Traditional Neuroanatomy Teaching in Medical Education with Virtual-Reality Application Based On 3D Virtual by Ece Alim, Özlem Coşkun, Tuncay Veysel Peker

“…Conclusion: Our study contributes to the literature by demonstrating the positive long-term effects of VR-based neuroanatomy training on memory.…”
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RMixDA: A Random Compound Data Augmentation Operation Framework for Neural Machine Translation by Huijun Wang, Xiaojing Du, Xinkun Hao

“…We further incorporate contrastive learning, identifying augmented data as positive or negative samples to evaluate similarity more effectively. …”
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Regression-Based Docking System for Autonomous Mobile Robots Using a Monocular Camera and ArUco Markers by Jun Seok Oh, Min Young Kim

“…To address these challenges, we propose a regression-based method that learns geometric features from variations in marker size and shape to estimate distance and orientation accurately. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

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Who’s Who in Zoology: transversal application of gamification and new technologies in university teaching by Jaime Galan-Elvira, Pablo Palau-Irisarri

“…Moreover, a clear improvement in academic performance was observed, with higher average grades compared to previous years.DiscussionOur findings support gamification as a valuable tool in higher education, particularly in science-based courses. By aligning teaching methods with students’ expectations and cognitive habits, educators can improve both learning outcomes and classroom dynamics. …”
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Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…While in the medical research community, the issue of low prevalence is established, machine learning-based research in medicine often does not take into account a critical viewpoint of the prevalence in clinical settings of their methods. …”
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Assessment strategy based on authentic assessment to identify high school students' ability in assessing drama texts and drama performances by Ece Sukmana, Asep Saeprokhman, Dedi Irawan

“…Drama learning plays an important role in training students to sharpen their expressive abilities in performing arts.  …”
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In-hospital neonatal maternal separation as early-life stress and neurodevelopmental disorders: a cross-sectional and population-based study by Quan Zhou, Quan Zhou, Senrui Liang, Yanyan Sun, Jun Fan, Zaisheng Qin

“…Due to ethical constraints, population-based studies investigating neonatal maternal separation (NMS) as an early-life stress in children and adolescents are scarce.MethodsWe analyzed data from five cycles (1999–2000 to 2007–2008) of the National Health and Nutrition Examination Survey, focusing on participants aged 1–15 years. …”
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Educational Effectiveness of Using Big Data Based and Its Evaluation with Cluster Analysis and Qualification Framework in Financial Services and Management by Yujie Jiao, Ruiting Zhang, Ying Zhu

“…Using K-prototype clustering analysis and TF-IDF word frequency methods, the differences in different evaluations of job positions and vocational skill requirements of college graduates were analyzed. …”
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Can Peritumoral Radiomics Based on MRI Predict the Microvascular Invasion Status of Combined Hepatocellular Carcinoma and Cholangiocarcinoma Before Surgery? by Guo L, Huang C, Hao P, Jia N, Zhang L

“…Clinical models and radiomics models were constructed based on six classifiers. The model’s effectiveness was comprehensively evaluated using receiver operating characteristic (ROC), area under curve (AUC), and decision curve analysis (DCA), and the model results were output using Shapley Additive exPlans (SHAP).Results: The differences in HBeAg, capsule, target sign, and lymph node metastasis between MVI negative and positive groups were statistically significant (p < 0.05). …”
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Integrating Generative and Contrastive Approaches for Human Action Recognition by Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda

“…This study introduces a novel approach to unsupervised skeleton-based human action recognition by integrating generative and contrastive learning methods. …”
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Gamified Diagnostic Assessment Using Quizizz: Investigating Motivation and Perceptions of Indonesian ESL Students by Laili Inayatus Sholihah, Delsa Miranty

“…The study’s findings revealed that using Quizizz increased students' intrinsic motivation and positive perceptions of learning English. The students found learning English to be more enjoyable and engaging. …”
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The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis by Guanghua Shi, Xiaocui Shi, Meng Zhang, Rui Cheng, Mengqing Hu, Yu Zhao, Shimei Li, Xiuxiu Li, Haiyun Ma, Pengcui Li

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Spatiotemporal Characteristics of Public Attention Level on the 2022 Extreme Drought in Yangtze River Basin Based on Weibo Text Analysis by LI Zhe, CHEN Zhe, XIANG Da-xiang, CUI Chang-lu

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Instructor-Led VR training in medical emergency rescue education for road traffic accidents: a questionnaire-based study by Zhe Li, Guozheng Qiu, Wan Chen, Lei Shi, Yutao Tang, Guoqing Qin, Jingshu Mo, Liwen Lyu

“…Sentiment analysis of 227 qualitative responses indicated 70.67% expressed positive opinions, particularly on the engaging and practical aspects of the VR-based approach. …”
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Prediction model of axillary lymph node status using an automated breast volume ultrasound radiomics nomogram in early breast cancer with negative axillary ultrasound by Qianqing Ma, Qianqing Ma, Junli Wang, Zhengzheng Tu, Jingwen She, Jianhui Zhu, Feng Jiang, Chaoxue Zhang

“…The Nomo-score was calculated based on nomogram-model2 and nomogram-model3, revealing a positive correlation between ALN burden and Nomo-score. …”
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