Usage Effects on the Cognitive Routinization of Chinese Resultative Verbs

The present study adopts a corpus-oriented usage-based approach to the grammar of Chinese resultative verbs. Zooming in on a specific class of V-kai constructions, this paper aims to elucidate the effect of frequency in actual usage events on shaping the linguistic representations of resultative verbs. Specifically, it will be argued that while high token frequency results in more lexicalized V-kai complex verbs, high type frequency gives rise to more schematized V-kai constructions. The routinized patterns pertinent to V-kai resultative verbs varying in their extent of specificity and generality accordingly serve as a representative illustration of the continuum between lexicon and grammar that characterizes a usage-based conception of language

Comparing a few distributions of transverse momenta in high energy collisions

Transverse momentum spectra of particles produced in high energy collisions are very important due to their relations to the excitation degree of interacting system. To describe the transverse momentum spectra, one can use more than one probability density functions of transverse momenta, which are simply called the functions or distributions of transverse momenta in some cases. In this paper, a few distributions of transverse momenta in high energy collisions are compared with each other in terms of plots to show some quantitative differences. Meanwhile, in the framework of Tsallis statistics, the distributions of momentum components, transverse momenta, rapidities, and pasudorapidities are obtained according to the analytical and Monte Carlo methods. These analyses are useful to understand carefully different distributions in high energy collisions.Comment: 11 pages, 7 figures. Results in Physics, Accepte

Assessing the feasibility of online SSVEP decoding in human walking using a consumer EEG headset.

BackgroundBridging the gap between laboratory brain-computer interface (BCI) demonstrations and real-life applications has gained increasing attention nowadays in translational neuroscience. An urgent need is to explore the feasibility of using a low-cost, ease-of-use electroencephalogram (EEG) headset for monitoring individuals' EEG signals in their natural head/body positions and movements. This study aimed to assess the feasibility of using a consumer-level EEG headset to realize an online steady-state visual-evoked potential (SSVEP)-based BCI during human walking.MethodsThis study adopted a 14-channel Emotiv EEG headset to implement a four-target online SSVEP decoding system, and included treadmill walking at the speeds of 0.45, 0.89, and 1.34 meters per second (m/s) to initiate the walking locomotion. Seventeen participants were instructed to perform the online BCI tasks while standing or walking on the treadmill. To maintain a constant viewing distance to the visual targets, participants held the hand-grip of the treadmill during the experiment. Along with online BCI performance, the concurrent SSVEP signals were recorded for offline assessment.ResultsDespite walking-related attenuation of SSVEPs, the online BCI obtained an information transfer rate (ITR) over 12 bits/min during slow walking (below 0.89 m/s).ConclusionsSSVEP-based BCI systems are deployable to users in treadmill walking that mimics natural walking rather than in highly-controlled laboratory settings. This study considerably promotes the use of a consumer-level EEG headset towards the real-life BCI applications

Effects of Deadline Conditions on Learners of Different Procrastination Tendencies in an Online Course

The purpose of this study was to investigate the effects of three deadline conditions (i.e., frequent-instructor-set-deadline condition, flexible-instructor-set-deadline condition, and self-imposed-deadline condition) on students of different academic procrastination levels (high, medium, and low) in terms of their perceived learning, academic performance, and course satisfaction in an online course. A 3 x 3 factorial quasi-experimental design was adopted for this study. One hundred and seventy three students from three classes of different majors voluntarily participated in the study with 50 students majoring in Agriculture, 61 in International Trading, and 62 in Food Manufacturing. The three classes were randomly assigned to three deadline conditions. Data were collected through an online survey and a final exam. This study found that there were significant differences in perceived learning and course satisfaction among high, medium, and low procrastinators, but there was no significant difference in academic performance among students at different procrastination levels. Low and medium procrastinators had significantly higher perceived learning and were significantly more satisfied with the course than high procrastinators. Among the three deadline condition groups, there were no significant differences in perceived learning and course satisfaction, however, the difference in academic performance was significant. The flexible deadline group achieved the best academic performance followed by the frequent and the self-imposed deadline groups. There was no interaction effect between procrastination and deadline conditions on any of the dependent variables. Limitations of the present study, recommendations for future research, and implications for practice are discussed