Design of English Intelligent Simulated Paper Marking System by Lina Yang, Wei Liu

“…Since not all students can complete the essays according to the topic requirements, a triage scoring model is used to separate the normal essays from the low-scoring essays. …”
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Associations between air pollution and daily outpatient visits for dry eye disease and the effect modification of temperature by Dandan Chu, Juan Chen, Chenlu Yang, Yan Li, Mingwei Wang, Junzhe Bao

“…Distributed lag nonlinear models (DLNM) combined with time-stratified case-crossover design were utilized to evaluate the effects of air pollutants and PM2.5 constituents on DED daily outpatient visits during 0‒3 lag days. …”
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Facilitating real-time LED-based photoacoustic imaging with DenP2P: An optimized conditional generative adversarial deep learning solution by Avijit Paul, Srivalleesha Mallidi

“…The optimized denoising cGAN model based on Pix2Pix architecture (DenP2P) is tested with a variety of out-of-class biological test data such as in vivo mouse tumor, ex vivo kidney, heart, and liver spatially different from training examples. …”
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Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks by Xuyichen Yan, Shaoqi Li, Ren Dong, Gen Li

“…With the improvement of living standards, more and more residents in China choose short leisure travel at weekends. This study aims to model the leisure travel duration to investigate the relationship between travel time and residents’ factors, which can provide guidance for the development of urban parks and improve the structure of transportation modes to promote low-carbon travel modes. …”
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Shifted Hexpo activation function: An improved vanishing gradient mitigation activation function for disease classification by Joseph Otoo, Suleman Nasiru, Irene Dekomwine Angbing

“…Additionally, Grad-CAM visualizations highlight SHexpo’s capability to enhance interpretability by localizing the most relevant image regions contributing to model predictions. These results demonstrate SHexpo’s potentials for medical image analysis in low-resource settings.…”
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Giardia duodenalis in Rodents: A Global Systematic Review and Meta‐Analysis by Tahereh Davoodi, Jalil Feizi, Kambiz Karimi, Mohammad Reza Mohammadi, Ali Pouryousef, Esfandiar Azizi, Ali Asghari, Fariba Shadfar

“…Conclusions Although various rodent species, especially chinchillas, mice, porcupines, rats, squirrels, and voles, carry G. duodenalis zoonotic assemblages (A and B), the overall molecular prevalence in rodents remains relatively low. Due to significant limitations in sampling design, methodological heterogeneity, limited ecological data, and unknown host health status, current evidence is insufficient to confirm rodents as major zoonotic reservoirs. …”
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Impact of ambient temperature, diurnal temperature range on hyperventilation syndrome emergency admission: a time-series analysis in Beijing, China by Xuan Liu, Qi Zhao, Changping Li, Yuming Guo, Xuan Li, Zhuang Cui, Wenyi Zhang, Jianping Wang, Yongming Zhang, Jinhua Zhao, Ying Ni

“…Objectives To assess the association between ambient temperature and diurnal temperature range (DTR) on emergency admissions for hyperventilation syndrome (HVS).Design Distributed lag non-linear model design was used with a lag time to 5 days.Setting Emergency admission data used were from the Beijing Red Cross Emergency Centre (2017–2018).Participants and exposure Cases were those with emergency visits to the Beijing Emergency Center during the period 2017–2018 and who were given the primary outcome indicator defined as HVS according to the International Classification of Diseases, 10th edition code F45.303. …”
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Bilateral co-transfer for unsupervised domain adaptation by Fuxiang Huang, Jingru Fu, Lei Zhang

“…Technically, the proposed BCT is a symmetrical structure, with joint distribution discrepancy (JDD) modeled for domain alignment and category discrimination. …”
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Detection of power theft in sensitive stations based on generalized robust distance metric and multi-classification support vector machine by Wei Zhang, Qiong Cao, Shuai Yang, Hao Guo

“…The model selects current, voltage, power factor and electric quantity as key detection indexes, and analyzes them by collecting electricity consumption data. …”
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Correlates of HIV-TB co-infection and mental health of adults living in countries across sub-Saharan Africa: systematic review and meta-analysis protocol by Anthony Danso-Appiah, Mishael Yankey, Isaac Kojo Appiah, Welbeck Amoani Twum

“…For studies with moderate to significant heterogeneity, the random-effects model will be used to obtain a pooled estimate of the outcome, and if heterogeneity is low, a fixed-effect model will be used.Ethics and dissemination This systematic review will collate secondary research based on publicly available published and unpublished studies, and no ethical approval is required. …”
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Landscape Ecological Risk Assessment and Its Driving Factor Analysis in Ordos-Yulin Area by Ma Jun, Pei Yanru, Wang Huiyuan, Yu Qiang, Niu Teng, Yue Depeng

“…Most ecological risk units presented high-high and low-low distribution, and a small number of ecological risk units were high-high and low. …”
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Evaluating Land use Mixed-ness on Street Level through Spatial Analyses and Gini Method by Hamid Motieyan, Mohammad Azmoodeh

“…The Gini index is a statistical index to measure the distribution of data among a community, which is often used to measure economic inequality, or in other words, how wealth is distributed among individuals in a society. …”
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Plasmodium vivax malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Elvieda Sariwati, Niken W Palupi, Siti N Tarmizi, Rita Kusriastuti, J Kevin Baird, Simon I Hay

“…Detailed understanding of the contemporary spatial distribution of this parasite is needed to combat it. …”
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Implementation of a 2D/3D WebGIS for Electricity Network Management System by M. Amović, V. Arnaut, D. Koprena

“…Model of the system is built upon the extended INSPIRE Utility Network – Electricity model. …”
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Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study by Zhongmin Zhang, Hengyi Xu, Jing Pan, Fujian Song, Ting Chen

“…Previous e-cigarette infodemiology studies have focused on assessing the quality and reliability of website content and quantifying the impact of policies. In reality, most low-income countries and low- and middle-income countries have not yet conducted e-cigarette use surveillance. …”
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Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China’s Yangtze River Economic Belt by Deyu Meng, Guoen Wei, Pingjun Sun

“…Using 1,624 A-share listed companies in China's Yangtze River Economic Belt as research area, this study integrated trend surface analysis (TSA), exploratory spatial data analysis (ESDA), standard deviation ellipse (SDE), and spatial regression model methods. …”
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The Effect of Human Rights and Organizational Virtue Levels in Sports on Personnel Empowerment by Nuri Berk Güngör, Serkan İbiş, Alptuğ Soyer

“…In this study, Human Rights Attitude Scale in Sport (HRASS) developed by Sadık (2014), Organisational Virtuousness Scale (OVS) developed by Cameron et al., (2004) and adapted into Turkish by Erkmen and Esen (2012), and Employee Empowerment Scale (EES) developed by Spreitzer (1995) and adapted into Turkish by Sürvegil et al., were used as data collection tools. In the analysis of the data, T-Test, Post Hoc Test, One-way ANOVA, Pearson Correlation and Linear Regression Analysis methods were used in addition to descriptive statistics on data with thinned normality distribution. …”
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Improving spatial prediction of Schistosoma haematobium prevalence in southern Ghana through new remote sensors and local water access profiles. by Alexandra V Kulinkina, Yvonne Walz, Magaly Koch, Nana-Kwadwo Biritwum, Jürg Utzinger, Elena N Naumova

“…<h4>Methodology</h4>Schistosoma haematobium prevalence data, collected from 73 rural Ghanaian schools, were used in a random forest model to investigate the predictive capacity of 15 environmental variables derived from RS data (Landsat 8, Sentinel-2, and Global Digital Elevation Model) with fine spatial resolution (10-30 m). …”
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A deep learning-based algorithm for the detection of personal protective equipment. by Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu

“…The DCNV2(Deformable Convolutional Networks v2) module was incorporated to handle geometric scale transformations by generating spatial offsets and feature masks from interactive features, thereby improving localization accuracy and dynamically selecting weights to enhance classification precision.The improved model incorporates rich multi-level and multi-scale features, allowing it to better adapt to tasks involving geometric transformations and aligning with the image data distribution in construction scenarios. …”
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Application of Vis/NIR Spectroscopy in the Rapid and Non-Destructive Prediction of Soluble Solid Content in Milk Jujubes by Yinhai Yang, Shibang Ma, Feiyang Qi, Feiyue Wang, Hubo Xu

“…The KS method achieved the best preservation of the original data distribution, improving the model generalization. …”
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