Query transformations and their role in Web searching by the members of the general public by Martin Whittle, Barry Eaglestone, Nigel Ford, Valerie J. Gillet, Andrew Madden

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Effects of Programmatic Assessment in Clinical Reasoning Courses in General Practice by ZHAI Jiayi, LU Yuan, SHI Jianjun, YU Dehua

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Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques by Phan Thi Huong, Lam Thanh Hien, Nguyen Minh Son, Huynh Cao Tuan, Thanh Q. Nguyen

“…This study introduces significant improvements in the construction of deep convolutional neural network models for classifying agricultural products, specifically oranges, based on their shape, size, and color. Utilizing the MobileNetV2 architecture, this research leverages its efficiency and lightweight nature, making it suitable for mobile and embedded applications. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

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Influencing Mechanisms of Ecosystem Services on Net Carbon Sink Efficiency and Spatial Differentiation Thereof: A Case Study of the Shanghai Metropolitan Area by Haoyang SONG, Min WANG

“…As there are differences in the spillover effects of different ecosystem services, it is necessary to differentiate the optimization and enhancement strategies for each type of ecological space and its ecosystem services according to local conditions, and the conservation of important ecological spaces in the metropolitan area should be continuously strengthened, followed by joint protection and control of ecological red lines in neighboring areas, so as to promote territorial spatial carbon reduction and sink enhancement activities, thus contributing to the steady improvement of the net carbon sink efficiency of the Shanghai Metropolitan Area in general. …”
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Conducting Educational Intervention Research in General Practice: from Design to Publication by ZOU Chuan, OU Jianming, ZENG Xin, PENG Tao, ZHOU Yan, XIAO Chunyao, TAO Hongxia, CHEN Qingqi, LIN Kai

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On θ-regular spaces by Martin M. Kovár

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Remote symptom monitoring with patient-reported outcomes and nudges during lung cancer immunotherapy in China (PRO-NET): protocol for a randomised controlled trial by Ping He, Yanan Luo, Zhenyu Shi, Yiqi Xia, Xiaolong Guan

“…This study proposes an electronic PRO-based symptom tracking intervention, integrated with reactive alerts and nudges (PRO-NET) to improve HRQoL for advanced NSCLC patients receiving immunotherapy in China. …”
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A hybrid model for prediction of software effort based on team size by Prerana Rai, Dinesh Kumar Verma, Shishir Kumar

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Exploration of General Practice Education in Undergraduate Medical Education from the Perspective of Healthy China by YANG Shan, WANG Cong, WANG Liuyi

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Safety of Drinking Water from Primary Water Sources and Implications for the General Public in Uganda by Keneth Iceland, Kasozi, Sarah, Namubiru, Roland, Kamugisha, Ejike, Daniel Eze, Fred, Ssempijja, Alfred, Omachonu Okpanachi, Hellen, Wambui Kinyi, Jovile Kasande, Atusiimirwe, Dickson Stuart, Tayebwa, Joy, Suubo, Edgar Mario, Fernandez, Nathan, Nshakira, Andrew, Tamale

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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…Abstract Life-time of the buildings is generally challenged by the act of nature. In-spite of the fact that the constructions provide minimum guarantee on quality and durability, certain mismatch in the composition of the materials, stress on the building, and chemical or physical imbalance of the materials, lead to surface crack. …”
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Profitability Drivers in European Banks: Analyzing Internal and External Factors in the Post-2009 Financial Landscape by Suzana Laporšek, Barbara Švagan, Mojca Stubelj, Igor Stubelj

“…Using the Generalized Method of Moments (GMM) approach and data of 3076 European banks, the research addresses the complex interplay between internal (bank-specific) factors and external factors, including macroeconomic and industry-specific factors. …”
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CHANGES IN HOUSEHOLD AND GENERAL GOVERNMENT CONSUMPTION AND SAVINGS DURING THE COVID-19 PANDEMIC IN THE EUROPEAN UNION by Boris Crnković, Juraj Rašić, Sofija Turjak

“…This paper aims to analyze the differences in household consumption expenditure and net savings across the EU from 2018 until 2021 and general government consumption expenditure and net savings. …”
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CHANGES IN HOUSEHOLD AND GENERAL GOVERNMENT CONSUMPTION AND SAVINGS DURING THE COVID-19 PANDEMIC IN THE EUROPEAN UNION by Boris Crnković, Juraj Rašić, Sofija Turjak

“…This paper aims to analyze the differences in household consumption expenditure and net savings across the EU from 2018 until 2021 and general government consumption expenditure and net savings. …”
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Motivation and Employee Performance in Hospital in Uganda: A Case of Kitgum General Hospital in Kitgum District. by Anenocan, Monica Oroma

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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills by M.J. Zoqi

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PENGARUH BIAYA OPERASIONAL, BIAYA PRODUKSI DAN PENJUALAN TERHADAP LABA BERSIH by Ainur Rozi, Syaiful Bahri

“… The study aims to analyze the effect of operating costs, production costs and sales on net profit. Net profit is the profit obtained from the amount of income deduction with tax withholding expenses. …”
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Survey on the Status and Training Demands of Capabilities for Diagnosing and Treating Common Diseases of Primary Care General Practitioners in Hunan Province by LI Lingqi, GAO Yinyan, ZHANG Yuqin, SUN Dingkui, WU Xinyin, ZHANG Weiru

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A Generalized Zero-Shot Deep Learning Classifier for Emotion Recognition Using Facial Expression Images by Vishal Singh Bhati, Namita Tiwari, Meenu Chawla

“…There are various AER systems based on learning and non-learning techniques, but they find it difficult to novel unseen facial expressions, which means they lack generalization ability. This study proposes a generalized deep learning classifier, Generalized Zero-Shot Convolutional Neural Network (GZS-ConvNet), to solve the problem of generalization. …”
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