Human capital and gender development in economic growth: A case study of Sumatera Barat, 2010–2022 by Fita Dinda, Ratih Ramadhani

“…This study employs a dynamic panel data model using the Generalized Method of Moments (GMM) approach to address potential endogeneity issues arising from the reciprocal relationship between independent variables and economic growth. …”
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OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

“…A comparative analysis of the proposed method on ISBI 2014 challenge dataset against existing methods revealed that hand-crafted features mimicking gradients outperform those based on statistics, and CNN-based methods generally exhibit better performance. Our proposed method achieved an accuracy of 74.1%. …”
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Anxiety and depression screening reveals the importance of advancing mental health support for Haitian healthcare providers by Youri Encelotti Louis, Brooke Betson, Samy Auguste

“…This study was conducted using a self-report questionnaire containing the Generalized Anxiety Disorder-7 and Patient Health Questionnaire-9 screening tools, distributed to Haitian healthcare providers nationwide. …”
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On the implications of artificial intelligence methods for feature engineering in reliability sector with computer knowledge graph by Heling Jiang, Yongping Xia, Changjie Yu, Zhao Qu, Huaiyong Li

“…These findings highlight the SVM with a linear kernel’s superior generalization skills, which make it the best option for pump system defect identification. …”
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Review of models for estimating 3D human pose using deep learning by Sani Salisu, Kamaluddeen Usman Danyaro, Maged Nasser, Israa M. Hayder, Hussain A. Younis

“…Our findings suggest that while deep learning models have made significant strides, challenges in handling occlusion, real-time estimation, and generalization remain. This study also outlines future research directions, offering a roadmap for both new and experienced researchers to further develop 3D HPE models using deep learning.…”
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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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Biodegradability of Cellulose Fibers, Films, and Particles: A Review by Martin A. Hubbe, Jesse S. Daystar, Richard A. Venditti, Joel J. Pawlak, Marielis C. Zambrano, Morton Barlaz, Mary Ankeny, Steven Pires

“…This review indicates that cellulose biodegradability, while generally rapid and natural, has a rate and extent that depends on a complex and sometimes subtle set of environmental and chemical factors.…”
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Autoimmune hepatitis: new in diagnostics, a pathogenesis and treatment by Ye. N. Shirokova, K. V. Ivashkin, V. T. Ivashkin

“…The aim of review. To generalize new data on diagnostics, pathogenesis and treatment of autoimmune hepatitis (AIH).Original positions. …”
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Current status of developed electrocatalysts for water splitting technologies: from experimental to industrial perspective by Duy Thanh Tran, Phan Khanh Linh Tran, Deepanshu Malhotra, Thanh Hai Nguyen, Tran Thien An Nguyen, Nguyen Tram Anh Duong, Nam Hoon Kim, Joong Hee Lee

“…Their performance, however, generally depends on electricity costs and system efficiency, which can be significantly improved by developing high-performance electrocatalysts to enhance the kinetics of both the cathodic hydrogen evolution reaction and the anodic oxygen evolution reaction. …”
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A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

“…The accuracy and generalization ability of the proposed method have been validated. …”
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Transcriptomic analysis of the root system of Platycodon grandiflorum in response to the fallen leaves of Acer truncatum by FENG Chaoqun, RUAN Kunfei, SHI Shaotong, LI Sen, CHENG Shaoying, LIU Zhonghua

“…[Conclusion] We found that DEGs in the terpenes and phenylpropanoid synthesis pathways were mainly up-regulated, while DEGs in the flavonoid synthesis pathway were generally down-regulated. It is speculated that the synthesis of terpenes and phenylpropanoids is increased, while the synthesis of flavonoids is decreased. …”
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Impact of TBL-Based CSR Disclosure on Financial Performance in Halal Food Companies: A System GMM Analysis by Zaki Ahmad, Mohammad Helmi Bin Hidthiir, Md Mahfujur Rahman, Mohd Zukime Mat Junoh, Mohd Faizal Bin Yusof

“…Based on the empirical results using a generalized moment of method (GMM), the dimensions of triple bottom line-based corporate social responsibility—economic, environmental, and social—have a significant effect on return on assets. …”
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Acute graft-versus-host disease: a case report by JIANG Yuyang, TANG Lulu, CHEN Haiju, LV Chunying, XIONG Hongdi, WU Yi

“…A 54-year-old male presented with a fever for two weeks and generalized pruritic erythemas for three days. The patient had allogeneic liver transplantation one month ago. …”
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Current Status of Detection Technologies for Indoor Hazardous Air Pollutants and Particulate Matter by Yuhan Wang, Bingquan Wang, Rui Wang

“…A number of researchers have published reviews of research on detection methods for hazardous gases, which are generally organized in terms of the detection of specific hazardous gases. …”
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The role of strategic management in the success of projects in educational institutions by Savićević Sara

“…The results showed that respondents generally rated the role of strategic management highly, with average scores ranging from 4.088 to 4.915. …”
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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization by Tie Chen, Yimin Yuan, Jiaqi Gao, Shinan Guo, Pingping Yang

“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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Meteorological drought assessment using SPI and RDI indices in the Ourika Basin, Morocco by Khrabcha Abdelali, Oumou Abdellah, Essahlaoui Ali, Essahlaoui Narjisse, Kassou Amina, Mouzoun Ouafae, Alitane Abdennabi, El Hafyani Mohammed, Iharzi Chaimae, Van Rompaey Anton

“…This indicates that the Ourika basin has generally experienced periods of moderate and severe meteorological and hydrological droughts, with a noticeable trend towards increasing drought conditions.…”
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The Brécy depocenter as part of a new northern Massif Central Carboniferous–Permian Basin (France) by Beccaletto, Laurent, Bourquin, Sylvie

“…The filling provides evidence for a thick late Carboniferous–lower Permian syn-rift stage overlain by a thin post-rift stage, probably similar to the tectonic evolution of the northeastward basins in the Lorraine region of France and Germany and thus attributed to the lower-middle Permian. The facies generally characterize lake environments, with occurrences of sediment supply attributed to fluvial, alluvial fan and delta fan deposits. …”
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Natural variation of OsWRKY23 drives difference in nitrate use efficiency between indica and japonica rice by Siyu Zhang, Zhe Ji, Wu Jiao, Chengbo Shen, Yaojun Qin, Yunzhi Huang, Menghan Huang, Shuming Kang, Xuan Liu, Shunqi Li, Zulong Mo, Ying Yu, Bingyu Jiang, Yanan Tian, Longfei Wang, Qingxin Song, Shaokui Wang, Shan Li

“…Abstract Between the two major rice subspecies, indica varieties generally exhibit higher nitrate (NO3 ‒) uptake and nitrogen (N)-use efficiency (NUE) than japonica varieties. …”
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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

“…Despite achieving high accuracy, challenges such as the need for large datasets and model generalization across different PV modules and environmental conditions remain. …”
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