Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. Because of its importance in this field, this survey aims to provide a background for researchers interested in detecting malware in drones, discuss recent approaches, depict a taxonomy of constructing approaches, identify existing problems, and explore trends in future work.…”
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Durability prediction of sustainable marine concrete under freeze-thaw cycles using multi-objective machine learning models by Aïssa Rezzoug, Ali H. AlAteah, Sadiq Alinsaif, Sahar A. Mostafa

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Development of a machine learning-derived dendritic cell signature for prognostic stratification in lung adenocarcinoma by Fang Zhou, Fang Zhou, Meng Wang, Meng Wang, Zheng Wang, Zheng Wang, Wei Li, Wei Li, Xike Lu, Xike Lu

“…A dendritic cell-related signature (DCRS) was constructed using multiple machine learning algorithms (Lasso-Cox, RSF, CoxBoost, Stepwise-Cox), and its prognostic performance was validated in seven external cohorts. …”
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Design Educational Bag in Basics of Image Processing by Ghada Tahir Qasim

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DEVELOPMENT OF A PROJECT BASED ONLINE LEARNING MODEL TO IMPROVE THE SKILLS AND ABILITIES OF ACTORS FOR STUDENTS by Welly Suryandoko

“…This study describes the development process and feasibility of project-based online learning development to improve actorship abilities and skills for students of the Sendratasik Education Study Program, Faculty of Language and Arts, Surabaya State University. …”
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Psychometric properties of a questionnaire assessing the extent of integration in a problem-based learning curriculum by Marwan F. Abu-Hijleh, Salah Eldin Kassab, Soumaya Allouch, Raja Mahamade Ali, Noor Al-Wattary, Michail Nomikos, Abdel Halim Salem, Mohamed H. Shehata, Reginald P. Sequeira

“…The four factors were: Planned Curriculum (3 items), Delivered Curriculum (10 items), Assessed Curriculum (4 items) and Learned Curriculum (7 items). The factor loadings of the items ranged from 0.61 to 0.84 with strong correlations between the four latent factors (constructs). …”
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Rethinking scenario building for sustainable futures: mobilizing conscientização, social learning and knowledge co-production by Danilo Borja, Jan Daněk, Julia C. Assis, Antonella Gorosábel, Carolyn Lundquist, Isabel Rosa, Fabio Rubio Scarano, Nino Tavares Amazonas, Silas C. Principe, Rob Alkemade, Adnan Arshad, Sandra Benavides-Gordillo, Rafael Cavalcanti Lembi, Tássia Rayane Ferreira Chagas, Diana Isabel Clavijo Rojas, Lara Cornejo-Denman, Viviane Dib, Simon Ferrier, Edberto Moura Lima, Luis Filipe Lopes, Matheus Camargo Silva Mancini, Juan Andrés Martínez-Lanfranco, Wladimir Moya, Julia Niemeyer, Unai Pascual, Alice Ramos de Moraes, Mercy Funke Salami, Carla Rivera Rebella, Fábio H. C. Sanches, Priyanka Sarkar, Juliana Siqueira-Gay, Raísa Romênia Silva Vieira, Catalina Zuluaga Rodríguez, Carlos Alfredo Joly, Rafael C. Borges

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Applying virtual reality to sail education: an innovative strategy to enhance knowledge learning for student novices by Shan Zhao, Fa Ji, Fa Ji

“…The sail education program consisted of 12 sessions over 6 weeks. Sailing knowledge test was developed from an official manual by American Sailing Association to assess outcomes of learning in overall performance, sailboat structure, sailing skills, and navigation rules. …”
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Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

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Using the CIPP Model to elicit perceptions of health professions faculty and students about virtual learning by Sakineh Gerayllo, Mohammadali Vakili, Leila Jouybari, Zahra Moghadam, Ali Jafari, Alireza Heidari

“…No significant difference was observed between professors and students except for the input construct. Students responded significantly differently according to their age and educational level on the product construct, and significantly differently according to their faculty and marital status on each of the CIPP constructs. …”
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Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning by Yuntai Wang, Yuntai Wang, Yilin Li, Lu Zhou, Yihuan Yuan, Chuanfei Liu, Zimeng Zeng, Yuanqi Chen, Qi He, Zhuoze Wu

“…BackgroundAlzheimer’s disease (AD) progression is characterized by persistent neuroinflammation, where pyroptosis—an inflammatory programmed cell death mechanism—has emerged as a key pathological contributor. …”
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Predicting bearing capacity of gently inclined bauxite pillar based on numerical simulation and machine learning by Deyu WANG, Defu ZHU, Biaobiao YU, Chen WANG

“…Support Vector Machine (SVM), Extreme Learning Machine (ELM) and Light Gradient Boosting Machine (LightGBM) were used to construct the model for predicting the strength of gently inclined pillars. …”
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Evaluating masked self-supervised learning frameworks for 3D dental model segmentation tasks by Lucas Krenmayr, Reinhold von Schwerin, Daniel Schaudt, Pascal Riedel, Alexander Hafner, Marc Geserick

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Distance learning methodology and technique in scientific and vocational communication (on the example of the master’s distance course in linguistics) by S. S. Khromov, T. P. Skorikova, N. V. Dneprovskaya

“…As a result of the experiment we can state that 1) the methodology and technique of distance tools in projecting master’s course in linguistics are described 2) the algorithm of building distance course in linguistiс master’s program is developed 3) the methodology of constructing a new model of online Russian universities is outlined.…”
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pyAutonomousAgent: An Academic Tool for Modeling Autonomous Agent Behaviors Using Behavior Trees by Felipe Leonardo Lôbo Medeiros

“…However, teaching the construction of behavior trees for autonomous agents can be a very complex task, especially if students have little knowledge of computer programming. …”
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Integrating early information communication and technology agreements and sustainability through project-based learning in architectural technology education by Gonzalez Alfaro Pablo Hector, Kaltenyte Gabija, Dimovski Nikola

“…Survey results show industry recognition of the importance of early ICT agreements in construction, while Project-Based Learning can facilitate developments in this regard, promoting sustainability and active student engagement. …”
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Evaluating the impact of industrial wastes on the compressive strength of concrete using closed-form machine learning algorithms by Carlos Roberto López Paredes, Cesar García, Kennedy C. Onyelowe, Kennedy C. Onyelowe, Maria Gabriela Zuniga Rodriguez, Tammineni Gnananandarao, Alexis Ivan Andrade Valle, Nancy Velasco, Greys Carolina Herrera Morales

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Development and Validation of the Pre-service Teacher Competency Scale in an Online Learning Environment Using the Scenario Method by Jiwon Baek, Jiwoo Kim, Hyeonseong Lee, Youn-Jeng Choi

“…The scale was then validated through confirmatory analyses and reliability analyses with 579 pre-service teachers, demonstrating good construct validity and reliability. This study contributes to teacher education by providing a validated tool that can help evaluate and enhance pre-service teacher preparation programs for online and hybrid learning environments.…”
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“I don't want to learn translation”: Exploring the systemic roots of burnout among translation master's students by Xiaobin Ren, Wenwen Zheng

“…By constructing this theoretical model, the study extends existing perspectives on learning burnout and provides valuable insights for educators and program administrators to better understand its underlying causes and optimize training strategies for translation master's students.…”
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Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI by Hamid Hatami Maleki, Reza Darvishzadeh, Nasrin Azad

“…Genomic best linear unbiased prediction through 65 amplified ISSR loci showed positive and high value of additive gene effect as breeding value for traits identified in the deep learning models. Among studied germplasm, G12, G13, G14, and G25 with positive and high value of breeding value especially for traits constructed the CNN models, recognized as superior genotypes. …”
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