A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

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The Need and Possibility of Bilingual Teaching of Computer Science in Universities of the Republic of Tuva by Dolana O. Kuular

“…In educational institutions of the national regions of the country, bilingual education can acquire an important meaning in ensuring the quality of the educational process. Bilingual subject learning and mastering of subject knowledge by students in a certain area based on the interconnected use of two languages (native and state) is of not only educational interest. …”
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Three Dimensional Image Reconstruction Based on KSVD for Electrical Capacitance Tomography by WANG Yunran, CHEN Deyun, WANG Lili

“…ECT (Electrical Capacitance Tomography)is one of the effective methods to measure the parameters of twophase flow The threedimensional image reconstruction of capacitance tomography is a sensor system based on multilayer electrode structure A new redundant sensitivity matrix is established to map the relationship between the dielectric constant distribution and the sensor reading by measuring the capacitance values between the same layer and the heterogeneous plate As a highly nonlinear simple linearization problem, there are mismatches in the position and size of the object being imaged To overcome these problems, and the greedy sparsity method is used to reconstruct the 3d image The redundant sensitivity matrix is constructed by using ksvd dictionary learning method and nonlinear simulation The typical structure of the object under test can be better captured by training the real data of the redundant sensitivity matrix The proposed method can also improve the image quality of the reconstruction by comparing the simulation experiments…”
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Identification of green leafhoppers (cicadellidae) in vineyards through an automatic image acquisition system from yellow sticky traps associated with deep-learning by Proença Maria da Conceição, Rebelo Maria Teresa, Valent Riccardo, Mateus Rebeca, Gaspar Pedro Diniz, Lopes Carlos Manuel, Franco José Carlos

“…The deep learning algorithm based on convolutional neural networks (CNNs) learn discriminators from a diverse set of green leafhopper images. …”
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Synergistic Mechanisms Between Elderly Oriented Community Activity Space Morphology and Microclimate Performance: An Integrated Learning and Multi-Objective Optimization Approach by Fang Wen, Lu Zhang, Ling Jiang, Rui Tang, Bo Zhang

“…The study first explored the linear relationships between spatial morphology and environmental performance using the Spearman method. It then integrated ensemble learning and the interpretable machine learning model SHAP to reveal nonlinear relationships and boundary effects. …”
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Design and implementation of a community-based rehabilitation curriculum for training multidisciplinary rehabilitation teams to serve people aging with disabilities by Zaliha Omar, Yohei Otaka, Eiichi Saitoh

“…Objectives: We aimed to design and implement a community-based rehabilitation (CBR) curriculum to promote community engagement by multidisciplinary teams. …”
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Accurate size-based protein localization from cryo-ET tomograms by Weisheng Jin, Ye Zhou, Alberto Bartesaghi

“…We compare the performance of our approach against a commonly used algorithm based on deep learning, crYOLO, and show that our method: i) has higher detection accuracy, ii) does not require user input for labeling or time-consuming training, and iii) runs efficiently on non-specialized CPU hardware. …”
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A machine learning model reveals invisible microscopic variation in acute ischaemic stroke (≤ 6 h) with non-contrast computed tomography by Jiahe Tan, Mengjun Xiao, Zhipeng Wang, Shuzhen Wu, Kun Han, Haiyan Wang, Yong Huang

“…Methods This study proposed a machine learning (ML) for infarct detection, enabling automated quantitative assessment of AIS lesions on NCCT images. …”
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Unlocking early academic skills: children’s cognitive processes, learning skills, and parental beliefs and behaviors predicting children’s language and math skills by Anne-Mai Meesak, Dmitri Rozgonjuk, Tiia Õun, Eve Kikas, Eve Kikas

“…While previous research has concentrated on a limited number of skill areas and aspects of the home environment, this study aimed to provide a more comprehensive understanding of children’s early learning by studying multiple skills and parental characteristics concurrently.MethodsData was collected through direct e-assessments of children’s skills alongside parental questionnaires (N = 279).ResultsWe found positive relationships between children’s cognitive processes, language, math, and learning skills, emphasizing the importance of considering multiple skills together. …”
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A pilot randomized trial comparing face-to-face and internet-based unified transdiagnostic treatment for adolescents with anxiety and depressive disorders in Iran by Nasim Mousavi, Fereshteh Momeni, Abbas Pourshahbaz, Hamid Poursharifi, Zahra Daneshian, Gerhard Andersson, Gerhard Andersson

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A Supervised Scene Adaptive Model for Identifying Impact Load with Few Samples by Shengbao Bai, Ji Yao, Chenhui Huang, Yuan Tian, Zhigang Xiong, Gang Chen, Hu Sun

“…Deep learning-based impact load identification technology for the next generation of large aircraft structures has garnered significant attention and has become one of the focal points in aircraft structural health monitoring. …”
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Predicting radiation pneumonitis in lung cancer using machine learning and multimodal features: a systematic review and meta-analysis of diagnostic accuracy by Zhi Chen, GuangMing Yi, XinYan Li, Bo Yi, XiaoHui Bao, Yin Zhang, XiaoYue Zhang, ZhenZhou Yang, Zhengjun Guo

“…By selecting multiple machine learning algorithm frameworks and competing for the best combination model based on research goals, the reliability and accuracy of the radiation pneumonitis prediction model can be greatly improved. …”
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Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning studyResearch in context by Shan Jiang, Shuai Dai, Yulin Li, Xianlong Zhou, Cheng Jiang, Cong Tian, Yana Yuan, Chengwei Li, Yan Zhao

“…We aimed to develop a quick sepsis screening tool (qSepsis) based on patients’ non-laboratory clinical data at the emergency department (ED) using machine learning (ML), and compare its performance with established clinical scores. …”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

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Advanced Hybrid Transformer-CNN Deep Learning Model for Effective Intrusion Detection Systems with Class Imbalance Mitigation Using Resampling Techniques by Hesham Kamal, Maggie Mashaly

“…IDSs, classified as anomaly-based or signature-based, have increasingly incorporated deep learning models into their framework. …”
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Cognitive-behavioral therapy to normalize social learning for patients with major depressive disorders: study protocol for a single-arm clinical trial by Yuening Jin, Si Zu, Pengchong Wang, Fangrui Sheng, Xue Wang, Yun Wang, Qun Chen, Jie Zhong, Fang Yan, Jia Zhou, Zhanjiang Li, Yuan Zhou

“…Abstract Background The current study aims to explore the efficacy of cognitive behavioral therapy (CBT) in normalizing social learning capabilities and its underlying neural processes among patients with MDD, in terms of enhancing learning towards positive social feedback, and reducing excessive learning towards negative social feedback. …”
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Emancipatory Qur'anic Hadith Education in the Digital Age: A Critical Analysis of Learning Models in MTsN 1 Palangka Raya by Moh. Ali Muttaqo, Desi Erawati

“…Data collection techniques were conducted through observation, in-depth interviews and documentation, while data analysis used descriptive-critical techniques based on Freire's theory. The results show that although some teachers have realized the importance of a dialogical approach and started using digital technology, the learning model is still dominated by the banking education pattern. …”
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Feasibility of GPT-3.5 versus Machine Learning for Automated Surgical Decision-Making Determination: A Multicenter Study on Suspected Appendicitis by Sebastian Sanduleanu, Koray Ersahin, Johannes Bremm, Narmin Talibova, Tim Damer, Merve Erdogan, Jonathan Kottlors, Lukas Goertz, Christiane Bruns, David Maintz, Nuran Abdullayev

“…Our objective was to determine whether GPT-3.5, when provided high-throughput clinical, laboratory, and radiological text-based information, will come to clinical decisions similar to those of a machine learning model and a board-certified surgeon (reference standard) in decision-making for appendectomy versus conservative treatment. …”
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Vision-based detection algorithm for monitoring dynamic change of fire progression by Yongyoon Suh

“…To achieve this, a convolutional neural network (CNN) based on deep learning is applied to detect fire events through vision-based patterns. …”
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Determining the Teachers' Attitude towards "Mistake" and "Making Mistakes" in the Learning Process and Improving the Culture facing it (case study: elementary school students) by Mazhar Babaee, Hedyeh Azagh

“…Some teachers have positive and constructive ideas about making mistakes and they see it as an opportunity to learn and as a stepping stone to progress and achieve success. …”
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