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  1. 3261
  2. 3262

    Conceptual Development of Urban Super-blocks Model in Urban Planning Based on Content Analysis Method by Hafez Mahdnejad

    Published 2024-09-01
    “…Based on the analysis and synthesis of the findings, 101 open codes have been identified regarding the unique characteristics of urban superblocks, which have been classified into 31 core codes. Axial codes in six selected codes are classified including background conditions (superblock and mini-block environment), causal conditions (field of urban action, land use and urban morphology, urban function, urban complexity, biodiversity and urban green, metabolic efficiency , social unity, human-centered street, complete streets, healthy streets and sustainable streets), mediating conditions (good urban governance and mixed use), central category (biological and physiological needs, security needs, belonging needs, respect needs, cognitive needs, aesthetic needs and self-fulfillment needs), strategies (green space redesign, space reassignment and restrictions and active transportation) and consequences (environmental improvement, traffic reduction, air pollution reduction, social cohesion, health promotion, economic). …”
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  3. 3263

    Computational design of diverse nuclear factor erythroid 2 activators with cellular antioxidative activity by Mingyue Yuwen, Xiaoning Gao, Junli Ba, Jiayang Wu, Jun Kang, Sheng Ye, Cheng Zhu

    Published 2025-06-01
    “…Current synthetic antioxidants struggle to activate this pathway efficiently or selectively. In this study, we employed deep learning algorithms to design miniproteins capable of activating NRF2. …”
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  4. 3264

    Superlubricity achieved by polyvinylpyrrolidone at Si3N4/sapphire interfaces by Hongdong Wang, Zhen Luo, Kunpeng Wang, Yuhong Liu, Jianhua Zhang

    Published 2025-06-01
    “…Polymers have complex molecular structures that often lead to interchain friction and hinder movement, making it difficult to achieve superlubricity. …”
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  5. 3265

    Predicting the time to get back to work using statistical models and machine learning approaches by George Bouliotis, M. Underwood, R. Froud

    Published 2024-11-01
    “…However, the comparison for predicting median time on a selected scenario based showed only minor differences. …”
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  6. 3266

    4D Assembly of Time‐dependent Lanthanide Supramolecular Multicolor Phosphorescence for Encryption and Visual Sensing by Yun‐Ga Wu, Wei‐Lei Zhou, Yugui Qiu, Siwei Wang, Jinglin Liu, Yong Chen, Xiufang Xu, Yu Liu

    Published 2025-04-01
    “…Furthermore, the 4D assembly of DPA and G/LP/Eu leads to a time‐resolved multicolor emission from colorless to purple to white, which is successfully applied to information multi‐level logic anti‐counterfeiting and efficiently antibiotic selective sensor.…”
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  7. 3267

    Metabolic engineering and adaptive laboratory evolution of Kluyveromyces Marxianus for lactic acid production by Jolien Smets, Héctor Escribano Godoy, Johanna Goossenaerts, Eva Van Bun, Quinten Deparis, Jeroen Bauwens, Raúl A. Ortiz-Merino, Eugenio Mancera, Alexander DeLuna, Kevin J. Verstrepen

    Published 2025-08-01
    “…While the bio-based production is more sustainable, it requires complex and expensive feedstocks and large amounts of neutralization agents for pH control during fermentation. …”
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  8. 3268

    Optimization of vehicle routing problems combining the demand urgency and road damage for multiple disasters by Ran Li, Xiaofei Ye, Shuyi Pei, Xingchen Yan, Tao Wang, Jun Chen, Pengjun Zheng

    Published 2025-06-01
    “…However, compared with single-hazard, multiple disasters confront the challenges of complexity, diversity, and demand urgency. To improve the efficiency of emergency material distribution under multiple disasters, this study first divided multiple disasters into three categories: independent scenario, sequential scenario, and coupling scenario. …”
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  9. 3269

    A novel acidic laminarinase derived from Jermuk hot spring metagenome by Ani Paloyan, Tigran Soghomonyan, Mariam Karapetyan, Hasmik Grigoryan, Anna Krüger, Fiona Cuskin, Jon Marles-Wright, Christin Burkhardt, Garabed Antranikian

    Published 2025-07-01
    “…Abstract Laminarinase, an enzyme with a specific affinity for laminarin—a complex polysaccharide found in the cell walls of brown algae and select marine organisms—was investigated in this study. …”
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  10. 3270

    Interpersonal and intrapersonal leadership competencies: an interpretative phenomenological analysis on effective leadership strategies by Marion Koreen Andrea Aquino, Alicia Mae Bumacod, Arizzandra Gerriz Calapine, Jan Marie Therese Yaco, Margarett Luz Dimailig, Avon Pearl Amores, Joseph Francisco

    Published 2025-08-01
    “…Effective leadership is critical to organizational success, requiring leaders who can efficiently manage both their tasks and employees. Thus, it is valuable to explore and identify competencies possessed by competent leaders.MethodsThe study utilized an Interpretative Phenomenological Analysis (IPA) approach to have a detailed exploration of the strategies and practices leaders find most effective in navigating complex organizational challenges, such as strategy adoption, teamwork improvement, client relationship management, ethical decision-making, and industry adaptation. …”
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  11. 3271

    Behçet's syndrome patients' perception of the health system's accountability to care needs: A content analysis study by Neda Sayadi, Simin Jahani, Elham Rajaei

    Published 2025-06-01
    “…Background: Behçet's syndrome (BS) is a chronic, multisystem inflammatory disorder characterized by diverse and complex clinical manifestations, resulting in varied patient care requirements. …”
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  12. 3272

    Square a Multi-Digit Number on 8 Processors in a Parallel Computational Model by Andrii Tereshchenko

    Published 2025-03-01
    “…Cyberattacks are becoming more organized and selective. The use of asymmetric cryptographic software and hardware complexes is becoming an obligatory element of protection. …”
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  13. 3273

    Enhancing bloodstream infection diagnostics: a novel filtration and targeted next-generation sequencing approach for precise pathogen identification by Ting-Syuan Lin, Ting-Syuan Lin, Ting-Syuan Lin, ZiHao Zhu, ZiHao Zhu, ZiHao Zhu, XiaoHong Lin, Hsi-Yuan Huang, Hsi-Yuan Huang, Hsi-Yuan Huang, Li-Ping Li, Li-Ping Li, Li-Ping Li, Jing Li, Jing Li, Jing Li, Jie Ni, Jie Ni, Jie Ni, PeiZhi Li, LanChun Chen, WeiXin Tang, HuiXin Liu, XiaoLong Se, MingFei Xie, Canling Long, Chih-Min Chiu, Szu-Han Fang, JiaMing Zhao, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, Yang-Chi-Dung Lin, XueTao Yu, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang, Hsien-Da Huang

    Published 2025-03-01
    “…The filtration membrane, designed with surface charge properties to be electrostatically attractive to leukocytes for the selective capture of specific cells, demonstrated high efficiency in removing host cells and nucleic acids, achieving over a 98% reduction in host DNA and thereby minimizing background interference in pathogen detection. …”
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  14. 3274

    Pharmacists’ Experiences on Adverse Drug Reactions in Saudi Arabia: A Cross-Sectional Study by Dalal Salem Bakheit Aldossari, Naeema Taha Alshalaan, Khuloud Salem Alshammari, Fatima Ahmed Lubbad, Mudhi Ratyan Alanazi, Neamah Ahmed Lubbad, Nada Suliman Fahad Alessa, Sheraz Ali

    Published 2025-06-01
    “…Background and objectives: As part of Vision 2030, Saudi Arabia aims to strengthen its healthcare system by enhancing efficiency, reducing medical errors, and ensuring drug safety. …”
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  15. 3275

    Artificial intelligence methods used in various aquaculture applications: A systematic literature review by Thurein Aung, Rafiza Abdul Razak, Adibi Rahiman Bin Md Nor

    Published 2025-02-01
    “…The findings revealed that AI‐driven tools such as computer vision, machine learning, and predictive modeling hold much potential for enhancing sustainability, efficiency, and productivity within aquaculture operations through applications like disease monitoring, environmental management, and production optimization. …”
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  16. 3276

    Vowel classification with combining pitch detection and one‐dimensional convolutional neural network based classifier for gender identification by Chia‐Hung Lin, Hsiang‐Yueh Lai, Ping‐Tzan Huang, Pi‐Yun Chen, Chien‐Ming Li

    Published 2023-05-01
    “…The proposed PD‐based extractor and voice classifier could reduce complexity and improve classification efficiency. Acoustic datasets were selected from the Hillenbrand database for experimental tests on 12 vowels classifications, and K‐fold cross‐validations were performed. …”
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  17. 3277

    PATH PLANNING AND OBSTACLE AVOIDANCE METHODS FOR AUTONOMOUS MOBILE ROBOTS by Ihor Berizka

    Published 2024-12-01
    “…Research at the time of writing focuses on optimizing existing algorithms and hybridization to improve efficiency. An example of such hybridization is the artificial potential field method using fuzzy logic. …”
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  18. 3278

    Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

    Published 2025-05-01
    “…The hybrid retrieval system exhibits substantial improvements in classification accuracy, similarity measurement, and computational efficiency compared to state-of-the-art scene classification and retrieval methods.…”
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  19. 3279

    MEL-YOLO: A Novel YOLO Network With Multi-Scale, Effective, and Lightweight Methods for Small Object Detection in Aerial Images by Yang Yang, Fangtao Feng, Guisuo Liu, Juxing Di

    Published 2024-01-01
    “…Nevertheless, there remains substantial potential to improve both the effectiveness and efficiency of small object detection in Uncrewed aerial vehicle (UAV) images. …”
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  20. 3280

    High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling by Álvaro Agustín Chávez-Durán, Miguel Olvera-Vargas, Inmaculada Aguado, Blanca Lorena Figueroa-Rangel, Ramón Trucíos-Caciano, Ernesto Alonso Rubio-Camacho, Jaqueline Xelhuantzi-Carmona, Mariano García

    Published 2024-11-01
    “…A set of vegetation indices and texture metrics derived from the multispectral data, optimized by a “Variable Selection Using Random Forests” (VSURF) algorithm, were used to train random forest (RF) models, enabling the modeling of high-resolution maps of litter and duff fuel loads. …”
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