A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa by Maria Magdalena Van Zyl-Cillié, Jacoba H. Bührmann, Alwiena J. Blignaut, Derya Demirtas, Siedine K. Coetzee

“…Understanding the specific factors leading to these issues is critical for adequately supporting nurses and informing policymakers. …”
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Research on Urban Heritage Values based on the UNESCO Historic Urban Landscape (HUL) Approach by Huang Huang

“… Currently there exist two aspects of theoretical limitations in the discourse on heritage value in contemporary China: First, the classification of heritage value is essentially established on the controversial “3+2” paradigm. …”
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Land Use and Land Cover Products for Agricultural Mapping Applications in Brazil: Challenges and Limitations by Priscilla Azevedo dos Santos, Marcos Adami, Michelle Cristina Araujo Picoli, Victor Hugo Rohden Prudente, Júlio César Dalla Mora Esquerdo, Gilberto Ribeiro de Queiroz, Cleverton Tiago Carneiro de Santana, Michel Eustáquio Dantas Chaves

“…These challenges include incompatibility, a lack of updates, non-systematic classification ontologies, and insufficient data to monitor Brazilian LULC information. …”
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LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree by Wenzheng Bao, Bin Yang, Rong Bao, Yuehui Chen

“…In this work, we have proposed a method named LipoFNT, which employed the two featuring sets, including the Position-Specific Scoring Matrix and bi-profile Bayesian, as the classification features. And then, the flexible neural tree algorithm is utilized to deal with the imbalance classification issue in lipoylation modification sample dataset. …”
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Auto-Probabilistic Mining Method for Siamese Neural Network Training by Arseniy Mokin, Alexander Sheshkus, Vladimir L. Arlazarov

“…Training deep learning models for classification with limited data and computational resources remains a challenge when the number of classes is large. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…From the perspective of collaborative operations in multi-robot SLAM, the study outlines the classification of SLAM frameworks, including three main collaborative types: centralized, distributed, and hybrid. …”
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Execution of Judgments and Advisory Opinions of the Court of the Eurasian Economic Union by P. P. Myslivskiy

“…Thus, the EurAsEC Court and the EEU Court have delivered judicial acts on various issues of lifting barriers in the Eurasian market, customs classification, regulation of the activities of leasing companies, competition law, the status of foreign athletes in sports competitions, currency movement between the EAEU member states and other issues inwhich international law (EAEU law) was applied and interpreted.MATERIALS AND METHODS. …”
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Paraneoplastic endocrinopathy in Castleman disease and POEMS syndrome by V. I. Odin, A. S. Polyakov, A. V. Kovalev, S. V. ondarchuk, V. V. Tyrenko, A. M. Mykhailov, T. Yu. Bogovskaya

“…Even after diagnosis, the use of modern methods of immunosuppressive, immunomodulating or antitumor therapy is significantly limited by the difficulties of taxonomic classification of the diagnosis, the lack of unified therapeutic approaches, and related unresolved issues of profiling and drug provision of patients. …”
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Incorporation of Phase Change Materials in Buildings by Subodh Kumar Jha, Advaith Sankar, Yue Zhou, Aritra Ghosh

“…This paper also delves into the detailed concepts of PCMs, including their classification and various applications within building insulation. …”
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MATE-ViT: A multi-channel contrast-limited adaptive time-frequency enhancement and vision transformer framework for bearing fault diagnosis by Jiangdong Zhao, Jiao Yu, Wenming Wang, Ji Huang, Xiaolu Ma

“…To address the issues of low contrast, unclear local details, and the difficulty of existing deep learning models in capturing long-range dependencies in time-frequency images generated by current time-frequency construction methods, this paper proposes a bearing fault diagnosis framework (MATE-ViT) based on multi-channel contrast-limited adaptive time-frequency enhancement (CLAHE) and vision transformer (ViT). …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…In perspective, the advancements may include increasing the size of the annotated data-set and fine-tuning the model due to detection issues of non-solitary nodules.…”
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System Strength Beyond Fault Level by Mehdi Ghazavi Dozein, Brian Berry, Jovica V. Milanovic, Pierluigi Mancarella

“…The paper proposes a new SS classification where the SS “umbrella concept” is broken down into small-signal strength, large-signal strength, and short-circuit strength with relevant SS factors, which may also be used in the context of ancillary services market developments. …”
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A global view of shifting cultivation: Recent, current, and future extent. by Andreas Heinimann, Ole Mertz, Steve Frolking, Andreas Egelund Christensen, Kaspar Hurni, Fernando Sedano, Louise Parsons Chini, Ritvik Sahajpal, Matthew Hansen, George Hurtt

“…The accuracy levels of our classification were high with an overall accuracy above 87%. …”
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Kebijakan Ekonomi Khalifah Umar Ibn Khatab by Lailun Nurul Khamidiyah, Ahmad Syafi'i SJ, Diyan Putri Ayu

“…The policies of Caliph 'Umar bin al-Khathtab in the economic field include: the establishment of baitul mal, land ownership, Zakat, usyur, currency, sodaqah for non-Muslims, classification and allocation of state income. and The influence of 'Umar's economic policy cannot be separated from several factors: 'Umar's concern about economic issues, using deliberation in making every policy that is set, prioritizing the benefit of the people, and 'Umar is a responsible and ascetic person. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

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Optimized Change Management Process Through Semantic Requirements and Traceability Analysis Tool by Irum Ilyas, Yaser Hafeez, Shariq Hussain, Sadia Ali, Muhammad Jammal, Ibrahima Kalil Toure

“…NLP automates the extraction, classification, and analysis of requirements written in natural language; analyzes unstructured data; and identifies dependencies, redundancies, and ambiguities in requirements. …”
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Mixture of Expert-Based SoftMax-Weighted Box Fusion for Robust Lesion Detection in Ultrasound Imaging by Se-Yeol Rhyou, Minyung Yu, Jae-Chern Yoo

“…<b>Methods:</b> To address these issues, we propose CSM-FusionNet, a novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), and padding. …”
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A Reconfigurable Framework for Hybrid Quantum–Classical Computing by Pratibha, Naveed Mahmud

“…To evaluate the proposed framework, an HQC algorithm, namely variational quantum classification, and the MNIST dataset are used as a test case. …”
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Enhancing Multispectral Breast Imaging Quality Through Frame Accumulation and Hybrid GA-CPSO Registration by Tsabeeh Salah M. Mahmoud, Adnan Munawar, Muhammad Zeeshan Nawaz, Yuanyuan Chen

“…This study explored the groundwork for precise multispectral transmission image segmentation and classification.…”
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Intelligent SDN to enhance security in IoT networks by Safi Ibrahim, Aya M. Youssef, Mahmoud Shoman, Sanaa Taha

“…The InSDN dataset faces issues related to class imbalance, which are addressed by using the Synthetic Minority Over-sampling Technique (SMOTE). …”
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