Designing a human resource scorecard: An empirical stakeholder-based study with a company culture perspective by Hasan Boudlaie, Hannan Amoozad Mahdiraji, Sabihe Shamsi, Vahid Jafari-Sadeghi, Alexeis Garcia-Pereze

“…The six-step Clarke-Braun process and the three-step Attride-Stirling thematic classification method were combined into a thematic network, and a seven-step research process was created. …”
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Revolutionizing climbing perch disease management: AI-Driven solutions for sustainable aquaculture by Kosit Sriputhorn, Rapeepan Pitakaso, Surasak Matitopanum, Peerawat Luesak, Surajet Khonjun, Rungwasun Kraiklang, Chakat Chueadee, Sarayut Gonwirat

“…We present the Climbing Perch Disease Detection and Classification System (CPDDCS), employing cutting-edge imaging and deep learning technologies to automate disease detection. …”
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Analysis of disease trends in children and adolescents with mental disorders of a general hospital in Chengdu during public health emergencies by Shi Lixin, Qiu Changjian

“…Patients were included if their primary diagnosis was schizophrenia， schizotypal disorder and delusional disorder， depressive disorder， bipolar disorder， anxiety disorder or post-traumatic stress disorder in International Classification of Diseases， tenth edition （ICD-10）. Patients were divided into two groups based on their admission period： pre-COVID-19 pandemic period （from January 1， 2018 to December 31， 2019） and during the COVID-19 pandemic （from January 1， 2020 to December 31， 2022）. …”
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Improving the Certainty of Evidence in Animal Experiment Systematic Review/Meta-Analysis: An Empirical Study of the GRADE Method by LI Tengfei, ZHENG Qingyong, XU Jianguo, LI Yiyi, ZHOU Yongjia, XU Caihua, ZHANG Mingyue, TIAN Jiexiang, WANG Gang, TIAN Jinhui

“…It then deeply analyzes the misuse of the GRADE methodology in practice, including incorrect evidence grading, improper classification of evidence, misapplication in qualitative systematic reviews, inconsistencies between the documentation of the upgrading and downgrading process and results, and inappropriate use for making recommendations. …”
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Stress Management in the Modern Workplace and the Role of Human Resource Professionals by Cam T.H. Tran, Hieu T.M. Tran, Huy T.N. Nguyen, Dung N. Mach, Hung S.P. Phan, Bahaudin G. Mujtaba

“…The frequency of its manifestations in the workplace is constantly increasing. These issues are especially relevant in the Covid-19 era, when HR managers constantly have to form and implement policies to protect the employees’ mental health and general working conditions. …”
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Assessment of COVID-19 severity levels and associated factors among patients admitted to the treatment centers in Southern Ethiopia by Lire Lemma Tirore, Mihretu Tagesse Sergindo, Abriham Shiferaw Areba, Aklilu Habte Hailegebireal, Aklilu Habte Hailegebireal, Mitiku Desalegn

“…Understanding the disease and optimizing resource distribution through early classification depend on having data on the severity of COVID-19 patients. …”
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Teacher readiness for the prevention and correction of emotional disturbance in primary school children with attention deficit hyperactivity disorder by G. V. Valiulina

“…Two groups of methods were applied in the study: theoretical (analysis, synthesis, classification, and generalisation) and empirical (survey methods, documentation analysis). …”
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DIDATTICA DEL LESSICO: UN PERCORSO BIBLIOGRAFICO by Viviana de Leo

“…Recognizing the necessity for a more organized framework that aids educators and researchers in navigating the subject, we adopt a classification system inspired by Barni, Troncarelli, and Bagna (2008). …”
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Investigating the Lifestyle Quality in Darbastaneh and Baba-Pashman Villages in the Lorestan Province by Fatemeh Rahimbakhsh, Farah Habib, seysed Amir hossein Garakani

“…Therefore, attention to the life quality issue in rural development concepts is of great importance. …”
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Leveraging Large Language Models for Improved Understanding of Communications With Patients With Cancer in a Call Center Setting: Proof-of-Concept Study by Seungbeom Cho, Mangyeong Lee, Jaewook Yu, Junghee Yoon, Jae-Boong Choi, Kyu-Hwan Jung, Juhee Cho

“…ConclusionsThis study shows the potential of GPT-4 to significantly improve the classification of patient intent in cancer-related telephone oncological consultations. …”
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Global economic burden of schizophrenia: letter in response by Neil AL, Carr VJ

“…Schizophrenia is the prototypical and most prevalent among the psychotic disorders, and schizophrenia is certainly used as a generic term in reference to the “schizophrenia-related disorders”, International Classification of Diseases (ICD)-10 codes F20–F29. …”
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Olimpismo en la revista Citius, Altius, Fortius (1959-1976): los inicios de la crítica al Movimiento Olímpico en España (Olympism in Citius, Altius, Fortius (1959-1976): the beginn... by Maria Perrino Peña, Miguel Vicente Pedraz

“…As a starting point, we have reviewed and adapted a previous paper of document indexing and classification of the journal thematic. In Citius, Altius, Fortius we observe a concern about the Olympics situation, and about its emerging issues. …”
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A Dynamic Ensemble Framework for Mining Textual Streams with Class Imbalance by Ge Song, Yunming Ye

“…Textual stream classification has become a realistic and challenging issue since large-scale, high-dimensional, and non-stationary streams with class imbalance have been widely used in various real-life applications. …”
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Lung Cancer Prediction Using an Enhanced Neutrosophic Set Combined with a Machine Learning Approach by Vakeel A. Khan, Asheesh Kumar Yadav, Mohammad Arshad, Nadeem Akhtar

“…To address this issue, we propose an Enhanced Neutrosophic Set (ENS) framework integrated with machine learning algorithms to improve the prediction accuracy of lung cancer. …”
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Hand Washing Gesture Recognition Using Synthetic Dataset by Rüstem Özakar, Eyüp Gedikli

“…Using this dataset, four neural network models, Inception-V3, Yolo-8n, Yolo-8n segmentation and PointNet, were trained for gesture classification. The models were subsequently evaluated on a large real-world hand washing dataset, demonstrating successful classification accuracies of 56.9% for Inception-V3, 76.3% for Yolo-8n and 79.3% for Yolo-8n segmentation. …”
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Financial Fraud Detection Approach Based on Firefly Optimization Algorithm and Support Vector Machine by Ajeet Singh, Anurag Jain, Seblewongel Esseynew Biable

“…Credit card fraud has become a serious issue for financial institutions over the last decades. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this research, an approach based on text mining on customers’ comments in the Persian language is presented, which uses the random forest algorithm for classification that was considered the most effective method to solve this problem. …”
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An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…Overfitting remains a major difficulty in training deep neural networks, especially when attempting to achieve good generalization in complex classification tasks. Standard dropout is often employed to address this issue; however, its uniform random inactivation of neurons typically leads to instability and insufficient performance increases. …”
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Fisheye omnidirectional stereo depth estimation assisted with edge-awareness by Junren Sun, Hao Xue, Shibo Guo, Xunqi Zheng

“…A cost volume is built for different depth hypotheses, which is then regularized using a 3D convolutional network. To address the issue of depth value discretization, we employ a hybrid classification and regression strategy: the classification branch predicts the probability distribution of depth categories, while the regression branch uses weighted linear interpolation to compute the final depth values based on these probabilities. …”
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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

“…After classification, both class prototypes and query samples are projected into the transformed feature space to improve the overall feature distribution. …”
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