Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most estimation seldom consider the geographical properties of input variables. Therefore, this study, geographically weighted stacking ensemble approach was developed to generate Three algorithms—random forest, XGBoost, and LightGBM—were used as base models, linear regression...

Trajectory generation has garnered significant attention from researchers in the field of spatio-temporal analysis, as it can generate substantial synthesized human mobility trajectories that enhance user privacy and alleviate data scarcity. However, existing trajectory methods often focus on improving quality a singular perspective, lacking comprehensive semantic understanding across various scales. Consequently, we are inspired to develop HOlistic SEmantic Representation (HOSER) framework...

Trajectory generation has garnered significant attention from researchers in the field of spatio-temporal analysis, as it can generate substantial synthesized human mobility trajectories that enhance user privacy and alleviate data scarcity. However, existing trajectory methods often focus on improving quality a singular perspective, lacking comprehensive semantic understanding across various scales. Consequently, we are inspired to develop HOlistic SEmantic Representation (HOSER) framework...

Abstract This study reports on findings of an investigation into Chinese students’ attitudes towards varieties English before the 2008 Beijing Olympic Games. One hundred and eight college students in mainland China evaluated six speeches by two American speakers, British speakers for social status, attractiveness, language quality. To triangulate data, informal retrospective interview was conducted with a group students, pertaining to their awareness language. Statistical analysis showed...

The term "user persona" recently has become more popular and can reflect the characteristics needs of each user. To analyze individual passenger in order to better implement targeted transportation policies, a method mine travel profiles from based on their smart card transaction records is proposed, mainly mining six labels passengers: activity, loyalty, whether they are stable commuters, where live, work, how prefer travel. A case study was conducted Huitian area Beijing, largest community...

Obesity is a major healthcare problem in youth and their social/electronic media (SEM) use has been described as risk factor. Though much known about the newer technologies to communicate, little what used by those weight management programs. The aim of this study was determine types SEM, including sedentary active video games, programs which they prefer for communicating with providers.This multisite using 24-question online SurveyMonkey® questionnaire. Youth, 12-17 years old, attending...

Urban public transit has been rapidly developed in recent years. However, given increases travel volume, the level of service still needs to be improved meet satisfaction passengers. Transit providers and researchers have focused on improving devices, but not yet effectively improved, so more research is interested analyzing patterns Compared with traditional survey methods, smart card collection systems—which can collect spatial-temporal information about passengers’ trips—are convenient...

Research on human mobility drives the development of economy and society. How to predict when where one will go accurately is core research questions. Existing work mainly concerned with performance prediction models. Since accuracy models does not indicate whether or one’s inherently easy predict, there has been a definite conclusion about that what extent can our predictions be accurate. To help solve this problem, we describe formalized definition predictability mobility, propose model...

Human mobility patterns have shown significant applications in policy-decision scenarios and economic behavior researches. The human simulation task aims to generate trajectories given a small set of trajectory data, which aroused much concern due the scarcity sparsity data. Existing methods mostly rely on static relationships locations, while largely neglect dynamic spatiotemporal effects locations. On one hand, correspondences visit distributions reveal spatial proximity functionality...

We develop and estimate a dynamic model to study the impact of student debt on education, career, marriage market choices young female lawyers.Our accounts for several important institutional features labor lawyers, including differences in work hours across occupational tracks learning about prospects promotion partner.Some students need take large amounts finance their education hence start careers with negative wealth.The empirical findings suggest that has effects prospects, career...

The formation and research of Constructivism theory is another understanding in developing educational psychology. Many problems exist English vocabulary teaching learning, which are too common to be noticed, negatively implicitly impacting Students' Vocabulary Memorization (EVM). In order solve these problems, this work studies college EVM from the perspective Constructivism. Firstly, literature review observation method understand performance behavior. Secondly, it analyzes current...

We propose a framework to measure, evaluate, and rank campaign effectiveness in the ongoing 2016 U.S. presidential election. Using Twitter data collected from Sept. 2015 Jan. 2016, we first uncover tweeting tactics of candidates second, using negative binomial regression exploiting variations `likes,' evaluate these tactics. Thirdly, candidates' by calculating conditional expectation their generated 'likes.' show that while Ted Cruz Marco Rubio put much weight on President Obama, this tactic...

Objective To investigate the team-based learning(TBL) combined with microteaching method in teaching of undergraduate first aid courses. Methods Totally72 nursing students randomly divided into observation group and control each including 36 cases by lottery.Nursing received TBL microteaching, while conventional teaching. Results The average score objective structured clinical examination (OSCE) was (86.66±5.09) points (84.47±5.78) points, difference statistically significant...