Between Reprimands and Support: An Exploration of Politeness in Teacher-Student Interaction in the Classroom Environment by Eko Suroso

“…Thus, teacher training based on these abilities is indispensable in educational practice. …”
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Developing and presenting a mathematical model for the purpose of organizational culture architecture based on creating alignment between the strategic reference points of organiza... by Elyas hasanzadeh Shweili, Mir Mehrdad peidaie, Ali reza Rezghi Rostami

“…Strategic reference points of organizational elements Strategic reference points are points for coordination that, if all elements and systems of the organization coordinate with it, an all-round coordination will occur (Kiyajori & Brimani, 2017). The method of strategic reference points, which is also called alignment, has a key position in organizational studies and strategic management; because a suitable method for acquiring and creating value in the market and increasing the performance of the organization is the interaction and coordination between the elements and components of the organization and the environment (Walian et al, 2017). …”
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Multimodal radiomics model with triple -timepoint contrast-enhanced ultrasound for precise diagnosis of C-TIRADS 4 thyroid nodules by Linlin Shao, Lili Zhang, Lifang Liu, Fangfang Sun, Hongyu Li, Tongfeng Liu, Feng Hu, Lirong Zhao

“…ROIs were manually delineated (3D-Slicer), with radiomics features extracted (PyRadiomics) and selected via mRMR and LASSO. Six CEUS radiomics-based machine learning models (KNN, SVM, RF, XGBoost, LightGBM, SGD) were developed and evaluated using AUC, accuracy, sensitivity, specificity, and F1-score. …”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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PLFF-SLAM: A Point and Line Feature Fused Visual SLAM Algorithm for Dynamic Illumination Environments by Shucheng Huang, Wenhan Ren, Mingxing Li

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SmartTourBabel: AI (Artificial Intelligence) Based Tourism System Development Model to Support Creative Economy and Sustainable Development in Bangka Belitung by Eka Altiarika, Agci Hikmawati, Fifin Fitriana, Winda Purnama Sari

“…This system is designed to provide a more personalized and relevant tourism experience for users by integrating tourism data and tourist habits. The research method used involves developing an AI model using a machine learning approach, which combines content-based and collaborative recommendations. …”
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Digital Gamification to Foster Attitudes Toward Science in Early Childhood Teacher Education by Noëlle Fabre-Mitjans, Gregorio Jiménez-Valverde, Gerard Guimerà-Ballesta, Genina Calafell-Subirà

“…While context-specific, this study offers insights into how digital gamified learning environments can support the development of positive attitudes towards science among future early childhood educators.…”
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Multi-Parametric MRI Combined with Radiomics for the Evaluation of Lymphovascular Space Invasion in Cervical Cancer by Huanhuan Wang, Jie Meng, Guoqiang Dong, Lijing Zhu, Zhengyang Zhou, Yuan Jiang, Li Zhu

“…Conclusions: The diagnostic efficacy of radiomics is superior to conventional MRI parameters and clinical parameters. The radiomics-based machine learning model can help improve accuracy for the preoperative evaluation of LVSI in cervical cancer.…”
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A Multi-Encoder BHTP Autoencoder for Robust Lithium Battery SOH Prediction Under Small-Sample Scenarios by Chang Liu, Shunli Wang, Zhiqiang Ma, Siyuan Guo, Yixiong Qin

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A population-based observational study using statistical modeling to assess the association between depressive symptom severity and sleep disorders in postmenopausal women by Ying Cui, Huimin Du

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Infusing social-emotional skills into a career and life planning course for college adults: A qualitative analysis and quantitative summary of student perceptions at post-course an... by Maya Hareli, Joshua C. Knutsen, Lauren M. Nowakowski, Colleen S. Conley, Carol H. Gonzales

“…A thematic analysis uncovered students’ perceptions of the value and relevance of course content and skills as well as of the intervention delivery through six broad themes: practicality and usefulness, self-discovery, sense of fortitude, sense of community, personal opinions/relevance, and content dissemination methods. Descriptive statistics, based on responses to closed-ended questions, substantiated the themes and further highlighted the impact of students’ positive course experiences on their personal and professional lives. …”
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Screening, identification, and experimental validation of SUMOylation biomarkers in Parkinson’s disease by Yifo Wei, Xinning Zhang, Rui Zuo, Wenxin Dang, Lu Chen, Fan Liu, Jia Yao, Weizheng Ran, Zhigang Chen, Xiaoyan Wang, Furong Lv, Yue Yu

“…This study aimed to investigate the relationship between SUMOylation and PD. Methods The analysis included the GSE22491 dataset, GSE18838 dataset, and 189 SUMO related genes. …”
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Diagnostic model of microvasculature and neurologic alterations in the retina and optic disc for lupus nephritis by Yun Yu, Xia-fei Pan, Qi-hang Zhou, Xiao-yin Zhou, Qian-hua Li, Yu-qing Lan, Xin Wen

“…Background: Machine learning (ML) analysis of retinal nerve fiber layer (RNFL) thickness and vessel density (VD) alterations in the macular region and optic disc may provide a new diagnostic method for lupus nephritis (LN). …”
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Automated skin lesion detection and prevalence estimation in Tamanend's bottlenose dolphins by Colin J. Murphy, Melissa A. Collier, Ann-Marie Jacoby, Eric M. Patterson, Megan M. Wallen, Janet Mann, Shweta Bansal

“…Recent advancements in technology, such as machine learning, can provide researchers with more efficient ecological monitoring methods to address health questions at both the population and the individual levels. …”
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Biomarker discovery for non-invasive diagnosis of inflammatory bowel disease using blood transcriptomics by Mohammad Hossein Derakhshan Nazari, Mahsa Ghorbaninejad, Shabnam Shahrokh, Anna Meyfour

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Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques by Gazi Mohammad Imdadul Alam, Naima Tasnia, Tapu Biswas, Md. Jakir Hossen, Sharia Arfin Tanim, Md Saef Ullah Miah

“…This study presents FireNet-CNN, an advanced deep-learning model particularly designed for forest fire detection, which significantly surpasses existing methods in terms of reliability, efficiency, and interpretability. …”
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Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration by Qiang Liu, Hua Zhang, Heng Xiao, Ao Ren, Ying Cai, Rui Liao, Huarong Yu, Zhongjun Wu, Zuotian Huang

“…Objective Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers.Materials and methods In this study, we downloaded mRNA expression profiles of HCC from the GEO database and used random forest and machine learning algorithms, such as least absolute shrinkage and selection operator, to screen for reliable diagnostic genes. …”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

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Refining early detection of Marburg Virus Disease (MVD) in Rwanda: Leveraging predictive symptom clusters to enhance case definitions by Olivier Nsekuye, Frederick Ntabana, Hugues Valois Mucunguzi, Ziad El-Khatib, Eric Remera, Lyndah Makayotto, Menelas Nkeshimana, David Turatsinze, Frederic Ntirenganya, Semakula Muhammed, Athanase Rukundo, Brian Chirombo, Richard Muvunyi, Claude Mambo Muvunyi, Pacifique Nizeyimana, Yvan Butera, Sabin Nsanzimana, Edson Rwagasore

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Implementation strategy of multimodal literacy text as a means to optimize literacy in Indonesian language lessons for elementary school students by Dimas Teguh Saputra, Laili Etika Rahmawati, Markhamah Markhamah

“… Multimodal literacy texts in Indonesian language learning in primary schools are needed to improve students' literacy skills holistically, along with the demands of the digital era that require students to understand various forms of visual, audio and digital-based texts. …”
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