Environmental Representation on Australian Children’s Television: An Analysis of Conservation Messages and Nature Portrayals by Breanna L. Morgan, Bradley P. Smith

“…Television plays a significant role in shaping these attitudes, yet the inclusion of environmental messaging in children’s programs remains unexplored. This study investigates the extent of conservation messages and nature portrayals on Australian free-to-air children’s television. …”
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REVIEW OF THE EUROPEAN SYSTEMS RESEARCH PROGRAMS OF URBAN TERRITORIES by L. N. Kovalskyi, V. N. Smilka

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Perceptions of Artificial Intelligence (AI) in the Construction Industry Among Undergraduate Construction Management Students: Case Study—A Study of Future Leaders by Jonghoon Kim, Soomin Park, Sarah Moukhliss, Kwonsik Song, Dan Koo

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Identification of mitochondrial function and programmed cell death associated key biomarkers and the circRNA-miRNA-mRNA regulatory network in systemic lupus erythematosus by Junjie Cao, Aifang Li, Hui Zhou, Yujie Yan, Gaiying Luo

“…Differential circRNAs were screened in SLE circRNA datasets, and the relationship between circRNAs and miRNAs is predicted through circbank, finally constructing a circRNA-miRNA-mRNA ceRNA regulatory network.ResultsFrom the 448 differential genes in the SLE training set, two key genes, IFI27 and LAMP3, were identified through machine learning and WGCNA. …”
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APPLICATION OF BIM IN MEDICAL BUILDING CONSTRUCTION PROJECTS: BARRIER FACTORS AND SOLUTION STRATEGIES: A CASE STUDY OF CHENGDU MEDICAL BUILDING CONSTRUCTION PROJECT by Jiahao Chen, Laemthong Laokhongthavorn

“…Given these findings, this study learns about the stage for future lookup and sensible interventions aimed at advertising wider acceptance and the tremendous use of BIM in the Medical Building Industry (MBI) and Construction Industry (CI). …”
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APPLICATION OF BIM IN MEDICAL BUILDING CONSTRUCTION PROJECTS: BARRIER FACTORS AND SOLUTION STRATEGIES: A CASE STUDY OF CHENGDU MEDICAL BUILDING CONSTRUCTION PROJECT by Jiahao Chen, Laemthong Laokhongthavorn

“…Given these findings, this study learns about the stage for future lookup and sensible interventions aimed at advertising wider acceptance and the tremendous use of BIM in the Medical Building Industry (MBI) and Construction Industry (CI). …”
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An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases by Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang

“…EILP leverages the exceptional information problems that are ignored in conventional rule-learning algorithms such as inductive logic programming (ILP). …”
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Analysis of human brain RNA-seq data reveals combined effects of 4 types of RNA modifications and 18 types of programmed cell death on Alzheimer’s disease by Ke Ye, Xinyu Han, Mengjie Tian, Lulu Liu, Xu Gao, Qing Xia, Dayong Wang

“…Finally, by combining unsupervised consensus clustering, gene co-expression networks, and machine learning algorithms, an RNA modification-related programmed cell death network was constructed, and the pivotal roles of programmed cell death genes in key modules were identified. …”
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Strategic Web-Based Data Dashboards as Monitoring Tools for Promoting Organizational Innovation by Siddharth Banerjee, Clare E. Fullerton, Sankalp S. Gaharwar, Edward J. Jaselskis

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The Effectiveness of Supervision Programs on Improving Teaching Skills and Teacher Performance by Agustina Said

“…The majority of teachers expressed high satisfaction with the supervision program in providing an understanding of learning objectives (85%), improving teaching skills (90%), providing constructive feedback (88%), encouraging creativity (87%), and increasing collaboration between teachers (80%). …”
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Approaches for integrating evidence of the effectiveness of actions in conservation funding to inspire more effective practice by Nida Al‐Fulaij, Pamela Abbott, Alex Bowmer, David Cope, Tiago deZoeten, Guy Foulks, Winifred F. Frick, Stephan M. Funk, Douglas Gibbs, Lauren Gupta, Nicolas Heard, Becky Holmes, Aida Kowalska, Simon Mickleburgh, Matthew Muir, Rascha J. M. Nuijten, Danni Parks, Hannah Reid, Paul Van Ryzin, Lisa Wheeler, Yingyi Zhang, Nancy Ockendon

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Machine learning-driven prediction of immune checkpoint inhibitor responses against cholangiocarcinoma: a bile biopsy perspective by Dengyong Zhang, Xinrui Li, Zhonglin Wang, Jingyuan Fan, Yuhang Yang, Sophia Han, Wanliang Sun, Dongdong Wang, Shuo Zhou, Zhong Liu, Shihao Chen, Yan Yang, Yan Zhu, Zheng Lu

“…Using advanced machine learning techniques, specifically LASSO regression, we constructed a predictive model to determine the effectiveness of programmed cell death protein 1 (PD-1) inhibitors in treating CCA. …”
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Problems of Subject Raising Constructions among Yoruba ESL Learners by Razaq Akolawole Raheem

“… Raising is an upward movement that concerns structures whose derivation involves copy, merger, and deletion and movement operations in the Minimalist Program. The proficiency of Yorùbá ESL learners and speakers of English is hindered as a result of interference from the mother tongue and divergence in raising constructions. …”
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The use of Artificial Intelligence in Building Information Modelling: Document-based bibliographic analysis by Krzysztof Zima

“…The main objective of the research is to learn about trends in the use of artificial intelligence in BIM research in the context of construction management. …”
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Automated Detection of Gibbon Calls From Passive Acoustic Monitoring Data Using Convolutional Neural Networks in the “Torch for R” Ecosystem by Dena J. Clink, Jinsung Kim, Hope Cross‐Jaya, Abdul Hamid Ahmad, Moeurk Hong, Roeun Sala, Hélène Birot, Cain Agger, Thinh Tien Vu, Hoa Nguyen Thi, Thanh Nguyen Chi, Holger Klinck

“…However, few deep learning approaches can be implemented natively in the R programming environment; approaches that run natively in R may be more accessible for ecologists. …”
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Improving Cultural Heritage conservation: LSTM neural networks to effectively processing end-user’s maintenance requests by Marco D'Orazio, Gabriele Bernardini, Elisa Di Giuseppe

“…Recently, Machine Learning methods were proposed to support preventive conservation and maintenance plans, based on their ability to predict the future state of the built heritage by collected data. …”
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Learning Content Model: from Concept Structuring to Adaptive Learning by J. V. Vainshtein, R. V. Esin, G. M. Tsibulsky

“…The aim of the study is to develop an approach to constructing the learning content model of an adaptive e-learning course that provides a formalized presentation of the educational material of the discipline and the construction of a logically based strategy for its study. …”
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Code generation system based on MDA and convolutional neural networks by Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara, Daniel-David Leal-Lara

“…This is owing to the implementation of good programming practices and architectures that make it scalable and adaptable. …”
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Traffic Classification in Software-Defined Networking Using Genetic Programming Tools by Spiridoula V. Margariti, Ioannis G. Tsoulos, Evangelia Kiousi, Eleftherios Stergiou

“…This is most evident in the feature construction method where at each generation of the genetic algorithm, a set of learning models is required to be trained to evaluate the generated artificial features.…”
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The diagnostic value investigation of programmed cell death genes in heart failure by Qiuyue Chen, Su Tu

“…Subsequently, a diagnostic model was constructed and validated after exploring the diagnostic markers using machine learning. …”
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