The Effectiveness of Flashcard Media in Enhancing Indonesian Language Proficiency in Elementary Schools: A Systematic Literature Review by Berlianti Eka Putri, Yasinta Mahendra, Irawan Suprapto, Junaidi

“…In conclusion, this study confirms that flashcard media is a potential solution for Indonesian language instruction, positively impacting student motivation and learning outcomes in elementary schools. …”
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MixDiff-TTS: Mixture Alignment and Diffusion Model for Text-to-Speech by Yongqiu Long, Kai Yang, Yuan Ma, Ying Yang

“…In recent years, deep-learning-based speech synthesis has garnered substantial attention, achieving remarkable advancements in generating human-like speech. …”
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A study of "Magic of vicinity" in childhood poetry(Based on work's of Naser keshavarz_Kazem mazinani and Shokooh ghasem nia) by latife sakhavi, Mona Alimadadi, Hosein Mohammadi

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Making connections for children and teachers: using classroom-based implementation supports for teaching Pyramid Model practices in Head Start programs by Rebecca J. Bulotsky-Shearer, Jill Ehrenreich-May, Chelsea T. Morris, Casey Mullins, Bella S. Lerner, Elizabeth Howe, Jhonelle Bailey, Rinatte L. Gruen, Angelica C. Gonzalez

“…IntroductionIn partnership with an urban school district Head Start program, we created a set of intervention supports that built upon the strengths of the district program services already in place.MethodsWe conducted a randomized control trial to test the use of natural helpers (teachers, special education coaches, and curriculum specialists) participating in practice-based coaching and monthly communities of practice, to augment a districtwide universal social-emotional program, The Pyramid Model for Promoting Social and Emotional Competence in Infants and Young Children. …”
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Identification of Key Mitochondrial Autophagy-Related Genes in Fetal Growth Restriction by Yao Y, Lei G, Pan G, Xiong G, Shen J

“…Yanru Yao, Gang Lei, Guangxin Pan, Guoping Xiong, Jian Shen Obstetric, Centre Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, Hubei, 430014, People’s Republic of ChinaCorrespondence: Guoping Xiong, Obstetric, Centre Hospital of Wuhan, Huazhong University of Science and Technology, No. 26, Shengli Street, Jiang’an District, Wuhan, Hubei, 430014, People’s Republic of China, Email Hyh0120@163.com Jian Shen, Obstetric, Centre Hospital of Wuhan, Huazhong University of Science and Technology, No. 26, Shengli Street, Jiang’an District, Wuhan, Hubei, 430014, People’s Republic of China, Email sjck1983@126.comObjective: To identify key mitochondrial autophagy-related genes (MARGs) in fetal growth restriction (FGR)and evaluate their diagnostic potential through bioinformatics and machine learning approaches.Methods: The GSE24192 dataset were obtained from Gene Expression Omnibus data base (GEO). …”
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Cold Front Identification Using the DETR Model with Satellite Cloud Imagery by Yujing Qin, Qian Liu, Chuhan Lu

“…The cloud system characteristics within satellite cloud imagery play a crucial role in the meteorological operational analysis of cold fronts, and integrating satellite cloud imagery into automated frontal identification schemes can provide valuable insights for accurately determining the position and morphology of cold fronts. This study introduces Cloud-DETR, a deep learning identification method that uses the DETR model with satellite cloud imagery, to identify cold fronts from extensive datasets. …”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…Sentiment analysis was performed to determine the polarity of each topic and categorize them as positive or negative. Based on the topics generated through topic modeling, thematic analysis was conducted to identify themes associated with immunotherapy. …”
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The clinical significance of the ACRG classification in gastric adenocarcinoma and the establishment of a p53 expression prediction model based on biopsy histopathology by LIU Xinyu, LIU Yinbo, LIU Shunli, ZHAO Han, SONG Yaolin, XING Xiaoming

“…Subsequently, the images were input into a feature aggregation-based classification network to establish a predictive model for p53 protein expression in gastric adenocarcinoma. …”
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DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

“…Despite numerous proposed convolutional neural network (CNN) based deep learning techniques for ear detection, achieving the expected efficiency and accuracy remains a challenge. …”
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Application of log-based specific surface area prediction for permeability modeling in a highly heterogeneous carbonate reservoir in the middle east by Mojtaba Homaie, Ida Lykke Fabricius, Morten Leth Hjuler, Asadollah Mahboubi, Ali Kadkhodaie, Reza Moussavi Harami

“…Provided the fractures in the core samples truly represent fractures in the reservoir, permeability modeled using log-based specific surface tends to underestimate permeability, achieving a correlation coefficient of 0.62 for the first method and an improved results (CC = 0.7) from the machine-learning approach.…”
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A Conversation with ChatGPT about the Impact of the COVID-19 Pandemic on Education: Comparative Review Based on Human–AI Collaboration by Turgut Karakose, Murat Demirkol, Nurcihan Aslan, Hüseyin Köse, Ramazan Yirci

“…Materials/methods – The data were generated from simultaneous interviews with ChatGPT-3.5 and 4, and their responses were evaluated comparatively in terms of the accuracy, clarity, conciseness, and breadth of information provided for (1) the definition of the COVID-19 pandemic, (2) the negative impact of the COVID-19 pandemic on education, (3) the positive impact of the COVID-19 pandemic on education, (4) recommendations to improve the effectiveness of teaching and learning during the COVID-19 pandemic. …”
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Presenting a conceptual model of the human as an agent based on the lived experience of successful youth labor: A grounded theory study by maryam hozhabriannazari, hossein salimibajestani, masumeh esmaili, ebrahim naeimi

“…Data was gathered through semi-structured interviews and analyzed using the Strauss and Corbin method. Results: The analysis of the interview data was generally categorized into seven axes: internal strength, chaotic environmental conditions, support system, learning experiences, humanistic strategies, positive and active design of life, and comprehensive and integrated growth, and finally, the conceptual model of the human as an agent based on the codes was drawn. …”
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Developing a structural model of academic self-concept based on emotional regulation and differentiation with the mediating role of achievement goals in students by meheri bostani, abdollah mafakher, Hossein Mahdian

“…Methods: The research method is descriptive-correlational path analysis. …”
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Generative artificial intelligence acceptance, anxiety, and behavioral intention in the middle east: a TAM-based structural equation modelling approach by Mona Gamal Mohamed, Polat Goktas, Shimaa Abdelrahim Khalaf, Aycan Kucukkaya, Ibrahim Al-Faouri, Ebtisam Abd Elazeem Saber Seleem, Awatef Ibraheem, Aya M. Abdelhafez, Saleh O. Abdullah, Hanan Nasef Zaki, Abdulqadir J. Nashwan

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Investigating the Effectiveness of Using a Situated Simulation-Based Program to Improve Occupational Therapy Students’ Interactions and Observation Skills with Children by Chia-Hui Hung, Tzu-Hua Ho, Chen-Yung Lin

“…Using standardized child patients in programs or exams appears to positively influence students’ performance. Situated simulation-based learning that allows the realistic practice of observation and communication skills may enhance students’ clinical competency. …”
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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

“…In the clinical domain, skin lesions such as melanoma detection are still a challenge due to occlusions, poor contrast, poor image quality, and similarities between skin lesions. Deep-/machine-learning methods are used for the early, accurate, and efficient detection of skin lesions. …”
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Evaluation Of Educational Environment Based On Dundee Ready Education Environment Measure Inventory In Institute Of Nursing: A Cross-Sectional Study by Lubna Ghazal, Afia Ayyaz, Naila Iqbal, Saima Rafique, Aniqa Shoukat, Ayesha Afzal

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Acceptance and Commitment Therapy-based empowerment intervention for asthma management in parent-child dyads: A pilot randomised controlled trial by Xu Wang, Wai Tong Chien, Yuen Yu Chong

“…Aim: To evaluate the feasibility, acceptability, and preliminary efficacy of an Acceptance and Commitment Therapy-based empowerment intervention for asthma management in school-age children with asthma and their parents. …”
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A novel device-free Wi-Fi indoor localization using a convolutional neural network based on residual attention by Mashael Maashi, Alanoud Al Mazroa, Shoayee Dlaim Alotaibi, Asma Alshuhail, Muhammad Kashif Saeed, Ahmed S. Salama

“…Usually, these systems comprise two primary components: a positioning network and a tracking system. The positioning network is responsible for learning the planning from high-dimensional CSI to physical positions, and the following system uses historical CSI to decrease positioning error. …”
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Lameness Recognition of Dairy Cows Based on Compensation Behaviour Analysis by Swing and Posture Features from Top View Depth Image by Ruihong Zhang, Kaixuan Zhao, Jiangtao Ji, Jinjin Wang

“…Lameness classification models were constructed using machine learning and threshold discrimination methods, achieving classification accuracies of 81.6% and 83.05%, respectively. …”
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