Entrapment mediates the relationship between depression and suicidal ideation among STD clinic attendees in shanghai, china: an analysis of the integrated motivational-volitional model by Yang Ni, Hantao Wu, Ruijie Gong, Yong Cai

Subjects: “…STD clinic attendees…”
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Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

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LLE-STD: Traffic Sign Detection Method Based on Low-Light Image Enhancement and Small Target Detection by Tianqi Wang, Hongquan Qu, Chang’an Liu, Tong Zheng, Zhuoyang Lyu

“…During experiments, we validate the performance of low-light image enhancement small target detection, and adaptability to images of different qualities using the public datasets GTSDB, TT-100K, and GLARE. Compared to classic models, LLE-STD demonstrates significant advantages. …”
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Sophora alopecuroide - Taraxacum decoction (STD) inhibits non-small cell lung cancer via inducing ferroptosis and modulating tumor immune microenvironment by Ouyang Xiaohu, Jingbo Wang, Xiaoyuan Qiu, Shuxin Song, Junyi Li, Shanshan Luo, Qianyun Chen, Desheng Hu

“…Significantly, and in line with the in vitro results, STD also showed a strong ability to inhibit tumor growth by inducing ferroptosis in a subcutaneous tumor model. …”
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Prevalence, trends, and correlates of HIV, syphilis, and HCV infections among male attendees at STD clinics in Southwest China: a 13-year cross-sectional study (2010–2022) by Chunxing Tao, Jianhua Che, Rongye Huang, Jinfeng He, Zhenxian Wu, Fengfeng Liang, Jie Cai, Yanyun Ou, Lijuan Bao, Li Ye, Hao Liang, Zhaosen Lin, Aidan Nong, Bingyu Liang

“…This study aimed to evaluate the prevalence, trends, and correlates of HIV, syphilis, and HCV among male attendees at sexually transmitted disease (STD) clinics in Southwest China. Methods Serial cross-sectional surveys were performed annually among male STD clinic attendees in Southwest China from 2010 to 2022. …”
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COMPARISON OF CRUSTAL DEFORMATION RATES ESTIMATED FROM SEISMIC AND GPS DATA ON THE BISHKEK GEODYNAMIC POLYGON by N. A. Sycheva, A. N. Mansurov

“…A tensor of a seismotectonic deformation (STD) rate within a cell was calculated as a sum of seismic moment tensors normalized for time, volume and shear modulus, assuming that STD is similar at different scale levels. …”
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Identification of high-risk soil erosion areas in the central Yunnan urban agglomeration and the differentiated driving mechanisms compared to the overall agglomeration by Dongling Ma, Shuangyun Peng, Zhiqiang Lin, Bangmei Huang, Ziyi Zhu, Shuangfu Shi

“…Focusing on the Central Yunnan Urban Agglomeration (CYUA), a typical mountainous urban region, this study analyzed the spatiotemporal dynamics of soil erosion from 1990 to 2020 using the RUSLE model and the Improved Stability Mapping (STD) method, identifying high-risk soil erosion areas. …”
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Coupling spatio-temporal distribution to provide more informative population status and management recommendations by Qingpeng Han, Xiujuan Shan, Harry Gorfine, Yue Jin, Qiang Wu, Guangliang Teng

“…In our coupled STD-SA framework, the spatio-temporal model not only provides accurate biomass index for the SPM, but also provides critical habitat assessments to better complement localized spatial information on stock status and factors contributing to the risk of population fluctuation. …”
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NDVI Prediction with RGB UAV Imagery Utilizing Advanced Machine Learning Regression Models by I. Aydin, U. G. Sefercik

“…The performance of the NDVI maps was analyzed using R², Root Mean Square Error (RMSE), Normalized Median Absolute Deviation (NMAD) and Standard Deviation (STD) metrics. As a result of the comprehensive analysis, it was found that the models performed similarly in general, but the LightGBM model was slightly behind the others. …”
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Simulation Effect Evaluation of CMIP6 Models on Climatic Elements in Huai River Basin by WU Chen, WANG Jingcai, SHAO Junbo, LI Xiangyu, WANG Wenyue

“…The general climate model (CMIP6) is the main means of large-scale simulation and prediction of future climate changes,but the simulation quality of its model data and applicability in different research regions need to be evaluated.Based on the measured data of 19 meteorological stations in the upper and middle reaches of the Huai River Basin from 1960 to 2014,this paper systematically evaluates the simulated climate data of 19 CMIP6 models using five precision indicators.The indicators include equidistant cumulative distribution function method,mean,dispersion coefficient (C_v),Pearson correlation coefficient (PCC),standard deviation (STD),and root-mean-square deviation (RMSE).Finally,the following conclusions are drawn:① Based on the simulation data of 19 CMIP6 models corrected for bias,the top two climate models for precipitation data simulation are preliminarily selected,including ACCESS-ESM1-5 and CMCC-ESM2.The top five climate models for simulating temperature data contain ACCESS-ESM1-5 and CMCC-ESM2;② The historical period data and measured historical climate data of the selected CMIP6 models are evaluated from two aspects of annual change trend and spatial distribution.Then,the CMIP6 model suitable for the upper and middle reaches of the Huai River Basin is verified and selected;③ Based on analyzing the influence of atmospheric circulation factors on climate,AO has a good correlation with the climate data of the upper and middle reaches of the studied basin,and the correlation between the model and atmospheric circulation data is close to the actual situation.The comprehensive evaluation shows that the most suitable models for simulating the upper and middle reaches of the Huai River Basin are ACCESS-ESM1-5 and CMCC-ESM2.The systematic evaluation of CMIP6 model data simulating the upper and middle reaches of the Huai River Basin provides theoretical and technical references for the rational selection and utilization of CMIP6 datasets for the research on climate change factors in future scenarios of the basin.…”
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Modeling the role of healthcare access inequalities in epidemic outcomes by Oscar Patterson-Lomba, Muntaser Safan, Sherry Towers, Jay Taylor

“…Here we formulate a mathematical model to study the effect of healthcare disparities on the spread of an infectious disease that does not confer lasting immunity, such as is true of certain STD's. …”
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Adaptation of the DFD technology in the modeling of business systems in the environment of RDS by G. N. Kalyanov, B. V. Kupriyanov, O. V. Lukinova

“…Non-terminal symbols of the language are presented in detail: diagram, DFD-diagram, STD-diagram, ERD-diagram, mini-specification, service structures are defined (including data dictionary).The types and sorts of evaluation criteria in the problems of business models quality analysis, syntax errors detection, as well as static semantics errors during their implementation in RDS are described. …”
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Determination of the Total Phosphorus Decay Coefficient Based on Hydrological Models in an Artificial Reservoir in the Brazilian Semi-Arid Region by Francisco Josivan de Oliveira Lima, Fernando Bezerra Lopes, Daniel Antônio Camelo Cid, Iran Eduardo Lima Neto, Renan Vieira Rocha, Alyson Brayner Sousa Estácio, Isabel Cristina da Silva Araújo, Nayara Rochelli de Sousa Luna, Michele Cunha Pontes, Arthur Costa Tomaz de Souza, Eunice Maia de Andrade

“…This study evaluated the best model for estimating the phosphorus decay coefficient (k) in semi-arid lakes, using flows from the Soil Moisture Accounting Procedure (SMAP), model of Génie Rural à 4 paramètres Journalier (GR4J), and reverse water balance hydrological models. …”
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Predicting the Cetane Number of Biodiesel using two AI-Models: the Gradient-based ANN and ANN Optimized by Genetic Algorithm by Hadis Tanha, Fatemeh Bashipour

“…The learning function, transfer function, number of hidden layers, and number of neurons in the hidden layers are some of the optimized parameters in the current AI-models. The developed models were compared using statistical criteria such as the coefficient of determination (R2), mean square error (MSE), average absolute relative deviation (AARD), standard deviation (STD) and mean absolute percentage error (MAPE). …”
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A multi-modal feature combination mechanism for identification of harmonic load in distribution networks based on artificial intelligence models by Renzeng Yang, Shuang Peng, Gang Yao

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Gravity gradient model of the Antarctic region derived from airborne gravity and DEM by Zhimin Shi, Xinghui Liang, Jinzhao Liu, Zhourun Ye, Junjian Lang, Zhibo Zhou, Lintao Liu

“…These data are combined with a gravity field model to establish a more comprehensive gravity anomaly database for Antarctica. …”
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System Design Navigation for an Explorer Robot with System Continuous Track Type Traction by Marco Amaya-Pinos, Adrian Urgiles, Danilo Apolo, Julio Andre Vicuña, Julio Loja, Luis Lopez

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Model OLD0: A Physical Parameterization for Clear-Sky Downward Longwave Radiation by Juan Carlos Ceballos, Diego Pereira Enoré, Jaidete Monteiro de Souza, Francisco Luiz Leitão de Mesquita

“…It is presented a simple yet consistent physically-based model (hereafter denoted by OLD0), suitable for estimation of DLF0 at ground level. …”
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The VMD-Informer-BiLSTM-EAA Hybrid Model for Predicting Zenith Tropospheric Delay by Zhengdao Yuan, Xu Lin, Yashi Xu, Ruiting Dai, Cong Yang, Lunwei Zhao, Yakun Han

“…The numerical results indicate that our model outperforms several comparative models, such as VMD–Informer, Transformer, BiLSTM and GPT3, based on the following key metrics: a Root Mean Square Error (RMSE) of 1.43 cm, a Mean Absolute Error (MAE) of 1.15 cm, a Standard Deviation (STD) of 1.33 cm and a correlation coefficient (R) of 0.96. …”
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A Regional Gravimetric and Hybrid Geoid Model in Northern Greece from Dedicated Gravity Campaigns by Georgios S. Vergos, Dimitrios A. Natsiopoulos, Elisavet G. Mamagiannou, Eleni A. Tzanou, Anastasia I. Triantafyllou, Ilias N. Tziavos, Dimitrios Ramnalis, Vassilios Polychronos

“…The evaluation of the final geoid model was performed over 462 GNSS/leveling benchmarks (BMs), where the newly determined gravimetric geoid has shown an improvement of 3.1 cm, in the std of the differences to the GNSS/leveling BMs, compared to the latest national geoid model. …”
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