Innovative Maritime Learning through Virtual Tour and Augmented Reality with an Interactive Approach for Competency Enhancement by Dimas Pristovani Riananda, Afif Zuhri Arfianto, Isa Rachman, Muhammad Izzul Haj, Aminatus Sa'diyah, Widya Emilia Primaningtyas

“…The findings suggest that while AR technology significantly improves understanding, attention must be given to balancing technical efficiency with user motivation …”
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Can generative AI Be an effective Co-Teacher? An experiment by Ahnaf Chowdhury Niloy, Salma Akter, Jakia Sultana, Md Azizur Rahman, Nayeema Sultana, Tasnem Islam Prome, Nusrat Jahan Isha, Muslima Afroz, Mashruha Zabeen, Mehnaz Tabassum, Rup Chowdhury, Moumita Sarkar, Saadman Mahmud, Amit Sen

“…This study investigates the effectiveness of integrating Text Generative AI as a supplementary teaching tool within a blended learning approach, aiming to provide educators with additional pedagogical flexibility and enhance classroom efficiency. Employing an experimental methodology with the 400 participants of control and experimental groups, the study utilized pre-test and post-test evaluations, stratified sampling, and impartial reviews of prepared scripts. …”
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Video Animation: Improving Older Adults Patients Knowledge and Motivation Related to Hypertension Diet by Gusti Ayu Kade Budiarti, Sri Susanty, Ruslan Madjid, Ramadhan Tosepu

“…This study seeks to examine the efficiency of employing animation media to explain the application of diets that prevent hypertension and boost the understanding and motivation of senior patients at Bahteramas Regional General Hospital. …”
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Design of a novel and robust 2-DOF PIDA controller based on enzyme action optimizer for ball position regulation in magnetic levitation systems by Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj, Olena Rubanenko

“…Overall, the proposed EAO-optimized 2-DOF PIDA controller offers a computationally efficient, auto-tunable, and robust solution for high-precision maglev control.…”
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Method and Mathematical Modeling of Formation of Gradually and Homogeneously Oriented Linear Polymers by Levan Nadareishvili, Roland Bakuradze, Jimsher Aneli, Manana Areshidze, Ineza Pavlenishvili, Liana Sharashidze, Giorgi Basilaia

“…Experimental data illustrating the possibilities of the proposed method and the efficiency of mathematical modeling are presented. The issues of creating functionally graded materials with a gradient of microstructure (gradient of degree of orientation/relative elongation) or chemical composition (volume fraction of functional fillers), respectively, based on thermoplastic polymer/copolymer or polymer composite (containing functional fillers) by method of uniaxial, zonal graded stretching are discussed.…”
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Developing positive design with innovative thinking framework: A design pedagogical approach to enhance subjective well-being by Wenjia Li, Xinni Zhang, Han Gao, Jingjing Gui, Xiaoyu Yang, Jidong Yang

“…The results indicate that this method is crucial for making it easier to convert design ideas into practice and for enhancing the efficiency of instructional techniques in a specific design procedure. …”
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Systems Biology of Recombinant 2G12 and 353/11 mAb Production in CHO-K1 Cell Lines at Phosphoproteome Level by Eldi Sulaj, Felix L. Sandell, Linda Schwaigerlehner, Gorji Marzban, Juliane C. Dohm, Renate Kunert

“…<b>Background</b>: Chinese hamster ovary (CHO) cells are extensively used in the pharmaceutical industry for producing complex proteins, primarily because of their ability to perform human-like post-translational modifications. However, the efficiency of high-quality protein production can vary significantly for monoclonal antibody-producing cell lines, within the CHO host cell lines or by extrinsic factors. …”
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Deep Learning-Based Infrared Image Segmentation for Aircraft Honeycomb Water Ingress Detection by Hang Fei, Hongfu Zuo, Han Wang, Yan Liu, Zhenzhen Liu, Xin Li

“…The demonstrated reductions in computational effort and parameter count underscore the model’s efficiency, fortifying its relevance in broader contexts.…”
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Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk. by Emma L Duncan, Patrick Danoy, John P Kemp, Paul J Leo, Eugene McCloskey, Geoffrey C Nicholson, Richard Eastell, Richard L Prince, John A Eisman, Graeme Jones, Philip N Sambrook, Ian R Reid, Elaine M Dennison, John Wark, J Brent Richards, Andre G Uitterlinden, Tim D Spector, Chris Esapa, Roger D Cox, Steve D M Brown, Rajesh V Thakker, Kathryn A Addison, Linda A Bradbury, Jacqueline R Center, Cyrus Cooper, Catherine Cremin, Karol Estrada, Dieter Felsenberg, Claus-C Glüer, Johanna Hadler, Margaret J Henry, Albert Hofman, Mark A Kotowicz, Joanna Makovey, Sing C Nguyen, Tuan V Nguyen, Julie A Pasco, Karena Pryce, David M Reid, Fernando Rivadeneira, Christian Roux, Kari Stefansson, Unnur Styrkarsdottir, Gudmar Thorleifsson, Rumbidzai Tichawangana, David M Evans, Matthew A Brown

“…In addition to identifying further genes associated with BMD, this study confirms the efficiency of extreme-truncate selection designs for quantitative trait association studies.…”
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Physio-Biochemical and Molecular Responses in Transgenic Cotton under Drought Stress by Muhammad Bilal Sarwar, Sajjad Sadıque, Sameera Hassan, Sania Rıaz, Bushra Rashıd, Bahaeldeen Babiker Mohamed, Tayyab Husnaın

“…Lipid peroxidation activity was reduced in transgenic plants which showed that the drought tolerance efficiency has been improved. Leaf relative water content was 69% and 45% in transgenic and wild-type plants, respectively at 10-day drought stress. …”
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Novel Resolvin D1-Loaded Biologics as an Advanced Approach for Inflammation Control and Tissue Regeneration: Preparation and Characterization by Zhe Xing, Jingwen Liang, Yang Sun, Jing Dai, Jiazheng Cai, Masahito Fujio, Yiwen Xu, Xiaoli An, Ying Xue

“…<b>Conclusions</b>: By integrating inflammation control capabilities into tissue regeneration materials, BRL effectively regulates the tissue regeneration microenvironment, thereby enhancing regeneration efficiency and positioning itself as an exceptional candidate for future tissue regeneration membranes.…”
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A comprehensive review of direct, indirect, and AI-based detection methods for milk powder by Xiaodong Song, Song Shen, Guanjun Dong, Haohan Ding, Haohan Ding, Zhenqi Xie, Long Wang, Wenxu Cheng

“…These advances are expected to improve the efficiency, sustainability and intelligence of milk powder quality assessment systems, while ensuring their accuracy and reliability.…”
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Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction by Jamal Abdulrazzaq Khalaf, Abeer A. Majeed, Mohammed Suleman Aldlemy, Zainab Hasan Ali, Ahmed W. Al Zand, S. Adarsh, Aissa Bouaissi, Mohammed Majeed Hameed, Zaher Mundher Yaseen

“…Employing GA as a feature parameter selection technique improves the precision of almost all hybrid models by optimally removing redundant variables which decrease the efficiency of the model.…”
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Assessing Drainage Infrastructure in Coastal Lowlands: Challenges, Design Choices, and Environmental and Urban Impacts by Beatriz Cruz Amback, Paula Morais Canedo de Magalhães, Luiz Eduardo Siqueira Saraiva, Matheus Martins de Sousa, Marcelo Gomes Miguez

“…The framework’s standardized scoring system balanced quantitative and qualitative criteria, revealing trade-offs between hydraulic efficiency and urban adaptability. …”
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Collaborative Estimation of Tropical Cyclone Wind Radii With Multitask Learning and Multiteacher Distillation by Jia Liu, Yinlei Yue, Yongjun Jin, Kaijun Ren, Xiang Wang, Kefeng Deng, Chongjiu Deng, Ke Deng

“…To address these issues and improve both the accuracy and efficiency of wind radii estimation, this article presents a novel collaborative TC wind radii estimation method with multitask learning and multiteacher knowledge distillation. …”
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Multi-Domain Assessment of Thermomechanical Recycling Based on Bio-Based and Petroleum-Based Additively Manufactured Components by Niko Nagengast, Nicolas Mandel, Christian Bay, Frank Döpper, Christian Neuber, Hans-Werner Schmidt, Clara Usma-Mansfield, Franz Konstantin Fuss

“…However, asserting the sustainability of some ecological impact reduction initiatives, such as recycling, requires a comprehensive evaluation within various domains, including performance, ecology, and economics, and contemporary advancements in integrating quantitative assessments of material and manufacturing properties, coupled with mathematical decision-making approaches, contribute to mitigating subjectivity in determining the efficiency of recycling. …”
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A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation by Li Zheng, Sen Tian, Yida Dong, Weihua Pei, Xiaorong Gao, Yijun Wang

“…However, improving the IT R and the practicability is challenging for existing VEP based BCIs due to factors such as the encoding efficiency and the calibration time. To address this issue, this study proposed a new encoding method employing narrow-band random sequences and provided a large dataset for VEP based brain-computer interfaces.Methods Narrow-band random sequences are random sequences with a specific frequency band. …”
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Exploring Optimisation Pathways for Underground Space Quality Under the Synergy of Multidimensional Perception and Environmental Parameters by Tianning Yao, Liang Sun, Lin Geng, Yao Xu, Ziqi Xu, Kuntao Hu, Xing Chen, Pan Liao, Jin Wang

“…The results indicated significant differences in user needs across various functional spaces, with commercial-oriented areas emphasising environmental attractiveness and comfort, while transport-oriented spaces prioritised access efficiency and safety. This study provided quantitative design benchmarks for underground spaces’ dynamic regulation and sustainable management, proposing a precise and adaptive environmental decision-making framework that combines physical parameters with user-perception feedback.…”
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Adaptive RAG-Assisted MRI Platform (ARAMP) for Brain Metastasis Detection and Reporting: A Retrospective Evaluation Using Post-Contrast T1-Weighted Imaging by Kuo-Chen Wu, Fatt Yang Chew, Kang-Lun Cheng, Wu-Chung Shen, Pei-Chun Yeh, Chia-Hung Kao, Wan-Yuo Guo, Shih-Sheng Chang

“…This adaptive RAG-based framework may improve diagnostic efficiency and standardization in radiological workflows.…”
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Development and refinement of an online CARD (Comfort Ask Relax Distract) course for organizations and providers delivering vaccinations and other needle procedures by Anna Taddio, Anthony N. T. Ilersich, C. Meghan McMurtry, Kaytlin Constantin, Lucie M. Bucci, Victoria Gudzak, Charlotte Logeman, Natalie Crown, Mandy Kohli, Erin Ledrew, Noni E. MacDonald

“…The course has the potential to improve efficiency and effectiveness of CARD implementation.…”
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