Evaluating the effectiveness of Didi ride-hailing security measures: An integration model

Security is one of the most critical factors influencing individuals’ mobility. Ensuring security along ride-hailing trips is also a fundamental challenge to service providers. After two cases of rape and homicide, Didi has rectified measures again to meet passengers’ need for security. However, there are few scientific findings concerning the impact of Didi rectified measures on personal perception of security. This study aims to explore critical latent factors that affect individuals’ intentions to use or reuse ride-hailing after the rectification of security measures. This paper examines individuals’ usage intentions by integrating and expanding both the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB). Research results suggest that perceived security, security risk, and government credibility are correlated with the intentions to use or reuse ride-hailing. Importantly, perceived security and security risk both have a direct impact on behavioral intentions from a different perspective. In contrast, government credibility has an indirect effect. Hence, a mediating effect test is conducted. Government credibility could indirectly influence behavioral intention by affecting trust. Finally, this study verifies that the effectiveness of security measures could be evaluated and improved by studying the influence of latent factors on the intentions to use or reuse ride-hailing.     

Task-load manipulation in the Symbol Digit Modalities Test: An alternative measure of information processing speed

ObjectiveTo evaluate the utility of an oral fMRI-adapted version of the Symbol Digit Modalities Test (SDMT) to assess information processing speed (IPS) using three different interstimulus intervals (ISI).MethodsNineteen right-handed healthy controls performed the adapted version of the SDMT, consisting of a block design that had a total of 6 control/activation block pairs with 3 different ISIs (1.5, 2 and 2.5 s) presented in two different runs: in ascending and descending orders. The brain activation patterns during different ISIs were assessed by effective functional connectivity analysis based on independent component analysis.ResultsAs expected, all conditions yielded activations in the fronto-parietal networks (FPNs) related to attention processes. Shorter ISIs (1.5 and 2 s) not only yielded greater patterns of connectivity within fronto-parietal and occipital regions such as the FPN and fronto-occipital network (FON), but also recruited more functional networks overall. Task performance at the shortest ISI was negatively correlated with connectivity at the FPN and activity of the pre-supplementary motor area extending to the cingulate gyrus.ConclusionIncreasing IPS demands due to shorter ISIs resulted in an increased level and number of functional networks required, increased connectivity within the FPN and FON, and enhancement of the prefrontal cortex. IPS does not arise from activity of a single b area but from affective information transfer among distant cortical regions of the frontal and parietal cortices. This adapted version of the SDMT may be useful for studying alterations of IPS in clinical and nonclinical populations.     

The amygdalostriatal and corticostriatal effective connectivity in anticipation and evaluation of facial attractiveness

Decision-making consists of several stages of information processing, including an anticipation stage and an outcome evaluation stage. Previous studies showed that the ventral striatum (VS) is pivotal to both stages, bridging motivation and action, and it works in concert with the ventral medial prefrontal cortex (vmPFC) and the amygdala. However, evidence concerning how the VS works together with the vmPFC and the amygdala came mainly from neuropathology and animal studies; little is known about the dynamics of this network in the functioning human brain. Here we used fMRI combined with dynamic causal modeling (DCM) to investigate the information flow along amygdalostriatal and corticostriatal pathways in a facial attractiveness guessing task. Specifically, we asked participants to guess whether a blurred photo of female face was attractive and to wait for a few seconds (“anticipation stage”) until an unblurred photo of feedback face, which was either attractive or unattractive, was presented (“outcome evaluation stage”). At the anticipation stage, the bilateral amygdala and VS showed higher activation for the “attractive” than for the “unattractive” guess. At the outcome evaluation stage, the vmPFC and the bilateral VS were more activated by feedback faces whose attractiveness was congruent with the initial guess than by incongruent faces; however, this effect was only significant for attractive faces, not for unattractive ones. DCM showed that at the anticipation stage, the choice-related information entered the amygdalostriatal pathway through the amygdala and was projected to the VS. At the evaluation stage, the outcome-related information entered the corticostriatal pathway through the vmPFC. Bidirectional connectivities existed between the vmPFC and VS, with the VS-to-vmPFC connectivity weakened by unattractive faces. These findings advanced our understanding of the reward circuitry by demonstrating the pattern of information flow along the amygdalostriatal and corticostriatal pathways at different stages of decision-making.     

The Term “Self-Directed Learning”—Back to Knowles,or Another Way to Forge Ahead?

The term self-directed learning has since its seminal definition in 1975 by Malcolm S. Knowles acquired a range of meanings, which has led to communication difficulties about this subject. Examination of self-directed learning from a biblical ontological–anthropological perspective reveals that, although the notion of self-directed learning as a mechanistic or deterministic process should be questioned, Knowles and colleagues were correct in ameliorating the “process part” of the definition of self-directed learning by emphasizing the freedom and agency of the learner as steward of creation. Researchers wishing to deviate from the approach by Knowles and colleagues are compelled to explain what the term designates in their particular project.     

Estimating state IQ: Measurement challenges and preliminary correlates

The purpose of this study is threefold. First, an estimate of state IQ is derived and its strengths and limitations are considered. To that end, an indicator of downward bias in estimating state IQ is provided. Two preliminary causal models are offered that predict state IQ. These models were found to be highly predictive of state IQ, yielding multiple R's of 0.83 and 0.89. Second, the extent to which state IQ predicts state outcome variables (e.g., gross state product, health, violent crime, and government effectiveness) is estimated. State IQ shows positive correlations with gross state product, health, and government effectiveness and negative correlations with violent crime. These results are consistent with the extent to which IQ predicts outcomes at the level of the individual. Third, a research agenda is provided for improving estimates of state IQ, identifying factors that cause differences in state IQ, and delineating the role of IQ in predicting important variables.     

Comparing Brief and Extended Wait-Time During Small Group Instruction for Children with Challenging Behavior

This preliminary study compared brief (1 s) and extended (4 s) wait-time on response opportunities, academic responses, accuracy, and disruptive behavior of two children with challenging behavior during small group instruction. Brief wait-time increased children’s response opportunities, academic responses, and accuracy in comparison to extended wait-time. Though variable, brief wait-time also decreased children’s disruptive behavior. Findings differ from previous research, which found performance improvements with extended wait-time for children with moderate to profound cognitive disabilities. Limitations of the study and future research suggestions are discussed.     

The dilemma of primary prevention in mental health services: Rationalize the status quo or bite the hand that feeds you

That primary prevention has been ‘inappropriately marginalised’ is seen to be an inevitable outcome of reliance on government support. Policy makers and service providers can never be expected to give prevention a higher priority than direct service. Preventionists have developed two strategies for doing their work. One, based on the logical positivist ideal, seeks specific causal models for specific disorders. This sort of prevention research, while it will always remain less well funded than direct services, tends not to challenge the status quo belief in individual responsibility, or the acceptable methods of mainstream science, and thus will tend to be more acceptable than other forms of prevention research and services. An alternative, based on a social constructivist paradigm engages in social action research through collaboration with a variety of grass roots organizations and people outside the mainstream of power. This latter approach, brings to preventionists ideas from feminists, ethnic minority leaders, neighborhood organizers, and self and mutual help group leaders. It is a sensible way to use the resources available to those professionals interested in social change oriented prevention.     

Accuracy and performance of the state-based Φ and liveliness measures of information integration

A number of people have suggested that there is a link between information integration and consciousness, and a number of algorithms for calculating information integration have been put forward. The most recent of these is Balduzzi and Tononi’s state-based Φ algorithm, which has factorial dependencies that severely limit the number of neurons that can be analyzed. To address this issue an alternative state-based measure known as liveliness has been developed, which uses the causal relationships between neurons to identify the areas of maximum information integration. This paper outlines the state-based Φ and liveliness algorithms and sets out a number of test networks that were used to compare their accuracy and performance. The results show that liveliness is a reasonable approximation to state-based Φ for some network topologies, and it has a much more scalable performance than state-based Φ.     

The Effect of Response Cards on Participation and Weekly Quiz Scores of University Students Enrolled in Introductory Psychology Courses

Increasing student participation in college classrooms is an overlooked yet socially valid endeavor. The present study attempted to increase student participation, accuracy of responding, and weekly quiz scores, by incorporating student response-cards. Measures of social validity were also addressed. One hundred twenty university students in two sections of an introductory course served as participants. An augmented incomplete ABA reversal design was used to compare the effects of review questions with and without response-cards. Results suggest that response cards can increase participation as well as measures of learning, in this case quiz scores. Also, students rated the intervention positively on a consumer satisfaction rating scale. In addition to improving rates of student participation and quiz scores, response-cards positively impacted both students and the instructor's subjective experience in the classroom.