Memory Mining and Spatial Transformation of Daily Landscape in Renewal of Tianjin Old City by Chunyan ZHANG, Xinyi ZHANG, Tianying HOU

“…Consequently, redeveloped old urban areas often lose their unique cultural identity, exhibit issues of homogenization, functional inadequacy, and spatial fragmentation. …”
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國小師資生國語發音錯誤之調查與分析 Investigation and Analysis of Mandarin Pronunciation Errors among Elementary Pre-service Teachers by 張金蘭 Ching-Lan Chang

“…The authors adopted a survey research approach using the “Mandarin Oral and Expressive Ability Test” and the “Mandarin Pronunciation Classification and Marking Table,” involving recording, transcription, and analysis. …”
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Near infrared spectroscopy analysis as a screening tool to classify milk from bovine subclinical mastitis and promote pathogen-based therapy by Pablo Rodríguez-Hernández, Nieves Núñez-Sánchez, Silvia Molina-Gay, Vicente Rodríguez-Estévez, Fernando Cardoso-Toset

“…Notable differences were noticed among the spectra of the groups compared. The model classification or prediction success ranged from 85.71 % to 95.24 %, with high sensitivity (88.89–100 %) and specificity (81.82–90.91 %). …”
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Food sweeteners: Angels or clowns for human health? by Qiao-Yun Hong, Yan Huang, Jie Yang, Long-Teng Su, Zhao-Ri Dai, Cheng-Fei Zhao

“…The discussion will unfold in the following four sections: (1) Definition and classification of sweeteners; (2) Application areas of various sweeteners; (3) Beneficial effects of sweetener use on human health; (4) Adverse effects of sweetener use on health issues in different population groups. …”
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Imaging Estimation for Liver Damage Using Automated Approach Based on Genetic Programming by David Herrera-Sánchez, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes, Socorro Herrera-Meza, Eduardo Rivadeneyra-Domínguez, Isaac Zamora-Bello, María Fernanda Almanza-Domínguez

“…Computer vision and image processing have become relevant in recent years due to their capabilities to support different tasks in several areas. Image classification, segmentation, and estimation are relevant issues addressed using various techniques. …”
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Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review by Asma Khan, Seyong Jin, Geon-Hee Lee, Gul E. Arzu, L. Minh Dang, Tan N. Nguyen, Woong Choi, Hyeonjoon Moon

“…The conclusions give a wider Comprehension of sign language recognition and set the groundwork for future studies focused on addressing the current challenges and issues in this developing area.…”
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A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis by Sameh Abd El-Ghany, Mohammed Elmogy, Mahmood A. Mahmood, A. A. Abd El-Aziz

“…This innovative hybrid CAD approach combines ViT with Principal Component Analysis (PCA) and machine learning (ML) techniques for TB classification, introducing a new method in this field. …”
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Ultrasound-triggered piezoelectric biomaterials for enhanced cancer sonodynamic immunotherapy by Yongke Bai, Kehua Jiang, Wen Deng, Jiaquan Mao, Jian Wu, Zichen Zhong, Xiaozhuo Ba, Yonghua Tong, Yu He, Yuan Chen, Kun Tang

“…However, the intricate tumor microenvironment (TME) poses challenges for immunotherapy due to its suppressive effects on immune cell activity, leading to issues such as low immune responsiveness and insufficient targeting. …”
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Concrete Crack Detection and Segregation: A Feature Fusion, Crack Isolation, and Explainable AI-Based Approach by Reshma Ahmed Swarna, Muhammad Minoar Hossain, Mst. Rokeya Khatun, Mohammad Motiur Rahman, Arslan Munir

“…Builders and engineers often face difficulties with image resolution, detecting fine cracks, and differentiating between structural and non-structural issues. Enhanced algorithms and analysis techniques are needed for more accurate assessments. …”
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The role of technological developments on the representation of violence in the history of cinema based on the phenomenology of Don Ihde by mojtaba fallah pour, ali sheikhmehdi

“…Since violence has been evident in many films from the early years of cinema, most of us neglect to understand the amazing complexities and unexplored issues of its representation. One of these complications is understanding the effect of technologies on the representation of violence. …”
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A Step-by-Step Harmonization Process for Nutritional Epidemiology Purposes: A Methodological Work of the Collaborative PROMED-COG Pooled Cohorts Study by Federica Prinelli, Silvia Conti, Claire T. McEvoy, Caterina Trevisan, Stefania Maggi, Giuseppe Sergi, Marianna Noale

“…Results: The pooled sample included 9326 adults aged 40–101 years, of which 52% were women. The main issues encountered were due to the heterogeneity of dietary assessment methods across studies: type of instrument (unstructured dietary questionnaires for ILSA and Pro.V.A. vs. structured FFQ for the BEST and NutBrain); data collection time frame (1992–1997 in ILSA, Pro.V.A., and BEST and 2019–2023 in NutBRain); and the period used for diet reporting (last week for ILSA and Pro.V.A., last 12 months for BEST and NutBrain). …”
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Reservoir connectivity of offshore oilfields with a sparse well pattern: a case study of the third member of Weizhou Formation of oilfield A in Weixinan Sag, Beibuwan Basin by Jinqi ZHU, Zhaoqiang YANG, Yan YANG, Kui CHEN, Tao FU

“…To address the prominent injection and production contradiction, complex remaining oil distribution, and utilization issues in the third member of the Weizhou Formation (W3) of oilfield A in the Weixinan Sag, Beibuwan Basin, the study developed a comprehensive reservoir configuration characterization system for offshore oilfields with a sparse well pattern, involving reservoir configuration interface classification, anatomy of composite sand body, and quantitative characterization of reservoir configuration unit. …”
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Deep Learning in Digital Breast Tomosynthesis: Current Status, Challenges, and Future Trends by Ruoyun Wang, Fanxuan Chen, Haoman Chen, Chenxing Lin, Jincen Shuai, Yutong Wu, Lixiang Ma, Xiaoqu Hu, Min Wu, Jin Wang, Qi Zhao, Jianwei Shuai, Jingye Pan

“…The applications of DL in DBT are then grouped into three categories: diagnostic classification of breast diseases, lesion segmentation and detection, and medical image generation. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Additionally, the study extends its contributions to sentiment analysis tasks by leveraging the enhanced embeddings for classification. The sentiment analysis experiments, conducted using a Stochastic Gradient Descent (SGD) classifier on the ACL IMDB dataset, demonstrate the effectiveness of the proposed methods, achieving high precision, recall, and F1 score metrics. …”
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Criteria for assessment of activities of daily living in a person with endocrine pathology by V.S. Vernygorodsky, M.V. Vlasenko, V.I. Pankiv, O.K. Krokhmalyuk, M.V. Vernygorodska, O.A. Tovkai, T.Yu. Yuzvenko

“…The article examines the main provisions of the Resolution of the Cabinet of Ministers of Ukraine No. 1338 dated November 15, 2024 “Some issues of introducing the assessment of daily functioning of a person”, which has developed a step-by-step algorithm for referring a person for assessment. …”
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Carbon emission accounting for peak-shaving LNG plant and suggestions on emission reduction countermeasures by Hengjin HU, Dongming ZHANG, Xingxing GAO, Dawei WANG

“…This system primarily relies on the carbon balance approach, complemented by the emission factor method to tackle prevalent issues within the current carbon emission accounting system, such as inaccuracies in accounting outcomes and the absence of fugitive carbon emission evaluations. …”
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Artificial intelligence in healthcare: transforming patient safety with intelligent systems—A systematic review by Francesco De Micco, Francesco De Micco, Gianmarco Di Palma, Gianmarco Di Palma, Davide Ferorelli, Anna De Benedictis, Anna De Benedictis, Luca Tomassini, Vittoradolfo Tambone, Mariano Cingolani, Roberto Scendoni, Roberto Scendoni

“…Studies reveal that AI can improve incident reporting accuracy, identify high-risk incidents, and automate classification processes. However, challenges such as socio-technical issues, implementation barriers, and the need for standardization persist.DiscussionThe review highlights the effectiveness of AI in various applications but underscores the necessity for further research to ensure safe and consistent integration into clinical practices. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…Facing engineering challenges of real-time and high-precision recognition of strongly heterogeneous formations during directional drilling, it is crucial to address the issues of sparse lithology geological labels and multi-source lithology identification from LWD data. …”
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Federated and ensemble learning framework with optimized feature selection for heart disease detection by Olfa Hrizi, Karim Gasmi, Abdulrahman Alyami, Adel Alkhalil, Ibrahim Alrashdi, Ali Alqazzaz, Lassaad Ben Ammar, Manel Mrabet, Alameen E.M. Abdalrahman, Samia Yahyaoui

“…Finally, federated learning was included to handle privacy issues and guarantee safe access to private medical data. …”
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An Integrated Study of Ramie (Boehmeria nivea), and Its Wild, Cultivated, and Feral Forms by Ying Zhao, Richard I. Milne, Jie Liu, Zhi‐Peng Li, Xiao‐Gang Fu, Ke Li, Amos Kipkoech, Zeng‐Yuan Wu

“…It hence poses great challenges for infraspecific classification, which may impede crop development, but studies on these issues are rare. …”
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