MONITORING AND ASSESSING THE RESEARCH ON CORPORATE SOCIAL RESPONSIBILITY PUBLISHED IN ROMANIAN ECONOMIC JOURNALS by Mariana-Cristina GĂNESCU, Andreea-Daniela GANGONE

“…The research began with drafting a list of Romanian economic journals, according to official classifications. We used content analysis to determine the characteristics of articles that address the issue of corporate social responsibility, based on the following criteria: number of articles whose titles include the term „corporate social responsibility”, ratio of pages devoted to CSR issues in the total number of pages, type of research, geographical area of research, authors’ affiliation, CSR issues being addressed. …”
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Surgical reconstruction of congenital thumb hypoplasia by Michael Tonkin

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Survey Report Analysis on Parasitic and Microbial Quality of Laboratory Animals in Sichuan Province, 2017-2023 by LIU Lida, CHEN Bing, XIE Na, LIU Li, ZHUANG Siqi, ZOU Yixing

“…Supervision and sampling inspections have proven to be effective in identifying these issues promptly, serving as a critical measure to ensure the quality of laboratory animals. …”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

“…This has deepened the issue of cancer mortality, which is already at an exponential scale. …”
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Clinical TNM Lung Cancer Staging: A Diagnostic Algorithm with a Pictorial Review by Ivana Kuhtić, Tinamarel Mandić Paulić, Lucija Kovačević, Sonja Badovinac, Marko Jakopović, Margareta Dobrenić, Maja Hrabak-Paar

“…The eighth edition of the TNM classification, issued by the International Association for the Study of Lung Cancer (IASLC), transitioned to the ninth edition on 1 January 2025. …”
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Enhanced Multi-Class Detection of Fake News by Chih-yuan Li, Soon Ae Chun, James Geller

“…This paper aims to identify fake news, while addressing the issue of class imbalances. We employ multi-class fake news detection, an advanced methodology beyond traditional binary classification. …”
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“Clinical Stability” and Propensity Score Matching in Cardiac Surgery: is the clinical evaluation of treatment efficacy algorithmdependent in small sample size settings? by Daniele Bottigliengo, Aslıhan Sentürk Acar, Veronica Sciannameo, Giulia Lorenzoni, Jonida Bejko, Tomaso Bottio, Emanuele Cozzi, Marta Vadori, Jean-Paul Soulillou, Jean Christian Roussel, Thierry Le Torneau, Thomas Senage, Rafael Mañez, Cristina Costa, Vered Padler-Karavani, Sofia Scali, Massimiliano Carrozzini, Emilia Fiorello, Samuel Fusca, Gino Gerosa, Ileana Baldi, Paola Berchialla, Dario Gregori

“…In this study, we investigate the potential issues related to the stability of the matched sets created by different propensity score models and we propose some diagnostic tools to evaluate them. …”
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MECHANISM FOR DESIGNING COMPETENCE-ORIENTED TASKS IN VARIOUS ACADEMIC SUBJECTS AND REQUIREMENTS FOR ITS IMPLEMENTATION IN HIGHER EDUCATIONAL ESTABLISHMENTS by Natalya M. Zhukova, Petr F. Kubrushko, Marina V. Shingareva

“…The research findings demonstrate that the competence-oriented tasks are shown as an integrative didactic unit of professional competence development. Its functions, classification, and structural components are given. The mechanism of designing competence-oriented tasks in various academic subjects is developed and tested. …”
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THE ROLE AND SIGNIFICANCE OF COSTEN’S SYNDROME IN DYSFUNCTIONAL CONDITIONS OF THE TEMPOROMANDIBULAR JOINTS by V.F. Makeev, U.D. Telishevska, O.D. Telishevska, M.Yu. Mykhailevych

“…In the medical specialty "dentistry" there is no section where there would be as many debatable and unresolved issues as in the diagnosis and treatment of diseases of the temporomandibular joints. …”
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A novel method to determine basic probability assignment in Dempster–Shafer theory and its application in multi-sensor information fusion by Liguo Fei, Jun Xia, Yuqiang Feng, Luning Liu

“…As an extension, a classifier called KKC is constructed according to the developed approach, and its classification effect is compared with several famous classification algorithms. …”
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Few-Shot Metric Learning with Time-Frequency Fusion for Specific Emitter Identification by Shiyuan Mu, Yong Zu, Shuai Chen, Shuyuan Yang, Zhixi Feng, Junyi Zhang

“…On the ADS-B dataset, TFAF-Net achieves a 9.59% higher accuracy in 30-way 1-shot classification compared to the second-best model, and reaches an accuracy of 85.02% in 10-way classification. …”
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Enhancing communication with elderly and stroke patients based on sign-gesture translation via audio-visual avatars by Saleh Kawther Thabt, Karim Abdulamir Abdullah

“…MobileNetV1 gained 0.94 and MobileNetV2 gained 0.79 in accuracy for classification.…”
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Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach by Thota Rishik Sai Santhosh, Sachi Nandan Mohanty, Nihar Ranjan Pradhan, Tauseef Khan, Morched Derbali

“…The source code, dataset and other particulars are publicly released at https://github.com/SaiSanthosh1508/Brain-Tumour-Image-classification-app [Rishik Sai Santhosh, “Brain Tumour Image Classification Application,” https://github.com/SaiSanthosh1508/Brain-Tumour-Image-classification-app ] for academic, research and other non-commercial usage.…”
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Accuracy assessment of digital impressions with varied scanning paths in partially edentulous ridges with mobile abutment teeth: An in vitro comparative study. by Samar S Alaghbari, Esraa A M Saeed, Lu Zhen, Mohammed M Al Moaleem, Hongjie Chen, Bayan M Gashan, Shaojie Dong, Lin Niu, Bo Hu

“…The abutment teeth in these models were subjected to various mobility grades, according to the Miller classification. Reference data was generated by scanning the test models using an extra-oral laboratory scanner. …”
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FACTORS OF VENTURE CAPITAL INVESTMENT ACTIVATION by Hanna Telnova, Maryna Petchenko, Serhii Tkachenko, Tamara Gurzhiy, Serhii Pyrohov

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Exploring the best fit: A comparative analysis of AFINN, Textblob, VADER, and Pattern on Arabic reviews for optimal dictionary extraction by Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan Syed, Nashwan Alromema, Ali Kararay

“…These results indicate that both AFINN and VADER are effective tools for sentiment analysis in Arabic, providing a reliable solution for text polarity classification.…”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…Similarly, the light-curve parameters of these classified BL/non-BL candidates by our CNN method from the GB region resemble those observed in the literature, confirming the reliability of our CNN classifications. Our CNN method is subject to issues related to light-curve quality and sampling, but its overall reliance on light-curve quality is comparable to that of frequency analysis. …”
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From Paper to Digital: Performance and Challenges of the Electronic Hepatitis B Surveillance System in Ninh Binh, Northern Vietnam (2017–2022) by Hien T. Nguyen, Thai Q. Pham, Duc M. Hoang, Quang D. Tran, Giang T. Chu, Thuong T. Nguyen, Nam H. Le, Huyen T. Nguyen, Khanh C. Nguyen, Florian Vogt

“…However, the system faced several challenges, including unclear objectives, difficulties in distinguishing acute from chronic cases, insufficient training for staff, lack of supervision for data quality, and technical software issues. Despite these challenges, stakeholders found the system acceptable but emphasized the need for improvements, including revising the system’s objectives, automating case classification, enhancing training, securing funding for maintenance, and implementing regular data review processes.…”
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Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach by Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem

“…This study describes a sophisticated method for diagnosing deep groove ball bearing issues. We designed and built an experimental setup to collect precise data in many scenarios, including inner race fault, outer race fault, cage fault, and normal state. …”
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A case study for optimising the geometry and moment capacity of code compliant welded RWS connections by Meysam Bayat, Konstantinos Daniel Tsavdaridis, Andrés Alonso-Rodriguez

“…However, improper positioning or sizing of the web opening can lead to a non-compliant RWS connection compromising the capacity to withstand drift demands and altering the connection classification from fully restrained to partially restrained. …”
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