1,335 research outputs found
Friendships and Networks in Chinese Adolescents: Academic Achievement and Academic Engagement
This longitudinal study examined the associations between Chinese adolescentsā academic adjustment (i.e., academic achievement and academic engagement) and network affiliates and friendsā academic adjustment. Seven hundred and twenty seventh grade students (Mean age= 13.24, 382 boys and 338 girls) participated in the study. They were followed into the eighth grade (Mean Age = 14.26, 343 boys and 312 girls). Adolescentsā academic achievement was highly correlated with that of their friends and network affiliates at both grades. Adolescentsā academic engagement was not, however, correlated with their friends and network affiliatesā academic engagement. First year friendsā academic achievement significantly predicted second year adolescentsā academic achievement after controlling gender and first year adolescentsā academic achievement
A Continuously Growing Dataset of Sentential Paraphrases
A major challenge in paraphrase research is the lack of parallel corpora. In
this paper, we present a new method to collect large-scale sentential
paraphrases from Twitter by linking tweets through shared URLs. The main
advantage of our method is its simplicity, as it gets rid of the classifier or
human in the loop needed to select data before annotation and subsequent
application of paraphrase identification algorithms in the previous work. We
present the largest human-labeled paraphrase corpus to date of 51,524 sentence
pairs and the first cross-domain benchmarking for automatic paraphrase
identification. In addition, we show that more than 30,000 new sentential
paraphrases can be easily and continuously captured every month at ~70%
precision, and demonstrate their utility for downstream NLP tasks through
phrasal paraphrase extraction. We make our code and data freely available.Comment: 11 pages, accepted to EMNLP 201
āIā vs āmeā: the urbanization of āpost-80sā and āpost-90sā Chinese migrant workers
The difference in self-identity among migrant workers of the new
generation leads them towards different desires regarding urbanization.
In this regard, it is imperative to explore the influence of
self-identity on the migrant workersā willingness to stay. To
explore the phenomenon empirically, the current study used data
sourced from the China Migrants Dynamics Survey (CMDS), during
the year, 2017. The study employed the Heckman two-stage
selection model to explore the study objective. Further, the study
also employed the machine learning methods for robustness
check. The outcome showed that the āIā identity has a more significant
impact on the urbanization by migrant workers belonging
to the āpost-90sā. In comparison, the identity of āMeā has a more
significant impact on the urbanization by migrant workers
belonging to the era of the 1980s. And it is clear that if āpost-
80sā and āpost-90sā migrant workers are uniformly divided into
the union of new generation, the differences and characteristics
within them may conceal. The overall findings proposes that
based on the differences in migrant workersā self-identity, both
born in the 1980s and 1990s, there is a need to formulate related
policies to promote their residence and boost urbanization
Motion Planning for Mobile Robots
This chapter introduces two kinds of motion path planning algorithms for mobile robots or unmanned ground vehicles (UGV). First, we present an approach of trajectory planning for UGV or mobile robot under the existence of moving obstacles by using improved artificial potential field method. Then, we propose an I-RRT* algorithm for motion planning, which combines the environment with obstacle constraints, vehicle constraints, and kinematic constraints. All the simulation results and the experiments show that two kinds of algorithm are effective for practical use
The -philic scalar dark matter
Right-handed neutrinos () offer an intriguing portal to new physics
in hidden sectors where dark matter (DM) may reside. In this work, we delve
into the simplest hidden sector involving only a real scalar exclusively
coupled to , referred to as the -philic scalar. We
investigate the viability of the -philic scalar to serve as a DM
candidate, under the constraint that the coupling of to the standard
model is determined by the seesaw relation and is responsible for the observed
DM abundance. By analyzing the DM decay channels and solving Boltzmann
equations, we identify the viable parameter space. In particular, our study
reveals a lower bound ( GeV) on the mass of for the
-philic scalar to be DM. The DM mass may vary from sub-keV to sub-GeV.
Within the viable parameter space, monochromatic neutrino lines from DM decay
can be an important signal for DM indirect detection.Comment: 21 pages, 5 figure
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