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

“…To evaluate the inflammatory resolution properties and osteogenic ability of osteoblasts, real-time quantitative PCR and ELISA were conducted. <b>Results</b>: BRL exhibited a more pronounced three-dimensional pore structure, demonstrating excellent physicochemical properties and enabling the slow release of RvD1. …”
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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 methods can give accurate quantitative results, but often require complex sample preparation processes and long experimental operations. …”
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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

“…Wind radii provide a quantitative measure of the structural characteristics of tropical cyclones (TCs), and accurate estimation of wind radii is crucial for disaster prevention and emergency response. …”
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Denoising Diffusion Probabilistic Model for Realistic and Fast Generated Euclid-like Data for Weak Lensing Analysis by Diana Scognamiglio, Jake H. Lee, Eric Huff, Sergi R. Hildebrandt, Shoubaneh Hemmati

“…Generating such a large and realistic data set efficiently is feasible using advanced generative models like denoising diffusion probabilistic models. …”
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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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ANALYSIS OF TRENDS AND DEVELOPMENT PROSPECTS OF THE VEGETABLE MARKET UNDER CONDITIONS OF ECONOMIC REGIONALISATION by Kateryna Mazur, Inna Tomashuk, Vitalii Shvets

“…The results of the study indicate that regionalisation promotes increased efficiency in vegetable production through regional specialisation, the development of agrifood clusters, and the optimisation of logistical processes. …”
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Research progress on predicting KRAS gene mutations in colorectal cancer by combining radiomics and multimodal medical imaging by Min Ai, Li Li, Shimei Fan, Cheng He, Yi Guo, Yang He

“…This technology can extract features of medical images in a High throughput manner and conduct a quantitative analysis of the pathophysiological changes in lesions. …”
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Autonomous Vehicle Security: Hybrid Threat Modeling Approach by Amal Yousseef, Yu-Zheng Lin, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Pratik Satam

“…Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, AV architectures&#x0027; increasing connectivity and complexity have introduced significant cybersecurity risks. …”
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REVOLUTIONIZING LUXURY: THE ROLE OF AI AND MACHINE LEARNING IN ENHANCING MARKETING STRATEGIES WITHIN THE TOURISM AND HOSPITALITY LUXURY SECTORS by Maria Nascimento CUNHA, Manuel PEREIRA, António CARDOSO, Jorge FIGUEIREDO, Isabel OLIVEIRA

“…Through a detailed quantitative examination of 2,048 survey responses, this study investigates how AI and ML technologies are employed to optimize digital marketing strategies, focusing particularly on the effectiveness of remarketing and retargeting tactics and their influence on consumer purchasing decisions. …”
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Identification of MhLHC gene family under iron (Fe) deficiency stress and functional characterization of MhLHCB15 gene in Malus halliana by Yongjuan Dong, Zhongxing Zhang, Jiao Cheng, Xiaoya Wang, Wenbin Zhao, Donghai Zhang, Yanxiu Wang

“…Subsequently, 15 genes were selected for quantitative reverse transcription PCR (qRT-PCR), and the results demonstrated that MhLHCB15 significantly responded to Fe deficiency stress. …”
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Assessment of the long RR intervals using convolutional neural networks in single-lead long-term Holter electrocardiogram recordings by Tan Lyu, Miao Ye, Minjie Yuan, Haina Chen, Sijie Han, Lifang Yu, Chen Li

“…AI provides invaluable support for quantitative analysis and significantly improves diagnostic efficiency. …”
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AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory by Muhammad Zaim, Safnil Arsyad, Budi Waluyo, Havid Ardi, Muhd. Al Hafizh, Muflihatuz Zakiyah, Widya Syafitri, Ahmad Nusi, Mei Hardiah

“…Using a mixed-methods approach, the research combined quantitative data from structured questionnaires with qualitative insights from reflective compositions, where lecturers critically evaluated their experiences with generative AI. …”
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Comprehensive Performance and Economic Analyses of Transcritical CO₂ Heat Pump Water Heater Suitable for Petroleum Processes and Heating Applications by Dongxue Zhu, Chaohe Fang, Shejiao Wang, Yafei Xue, Liaoliang Jiang, Yulong Song, Feng Cao

“…The research starts from both dynamic and steady-state perspectives, revealing the variation law of system performance with environmental temperature and conducting a quantitative analysis. As the ambient temperature rose from −11 °C to 2 °C, the COP of the system increased by approximately 15% and exhibited significant dynamic response characteristics, indicating that the increase in ambient temperature significantly improved system efficiency. …”
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