Global Attributes Research Articles

기업지배구조의 글로벌 성향과 수출성과에 관한 연구

기업지배구조의 글로벌 성향과 수출성과에 관한 연구

Attributions and perceptions of criticism: An examination of patients with anxiety and normal control participants.

Perceived criticism from relatives predicts poor clinical outcomes for patients with a variety of psychological disorders. Research indicates the attributions individuals make about motives for relatives' criticism are linked to perceived criticism from this relative. Accordingly, attributions may be an important target of intervention to reduce perceived criticism and improve clinical outcomes, but this association requires testing in a clinical sample. We examined relationships among attributions of criticism, perceived criticism, and upset due to criticism among individuals with anxiety disorders (n = 53) and with no psychopathology (n = 52). Participants completed measures of global attributions, perceived criticism, and upset due to criticism regarding criticism from a romantic partner/spouse or parent. After a 10-min problem-solving interaction with their relative, they completed measures of attributions, perceived criticism, and upset with regard to this relative's critical behavior during the interaction, and observers reliably coded interactions for relatives' criticism. Results showed that negative attributions were related to greater perceived criticism and upset for both global and interaction-specific measures. In analyses of interaction-specific measures, negative attributions added to prediction of perceived criticism and upset over and above the contribution of observed criticism. Positive attributions were not significantly related to global or interaction-specific upset in any analyses. Relationships were consistent across patients and normal controls. Our findings suggest that negative attributions of relatives' motives for their criticism are important predictors of perceived criticism and upset. Thus, interventions targeting these attributions may be helpful in mitigating the negative effect of perceived criticism for individuals with psychopathology. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Global world, global mind: Narratives of the University of Hong Kong Worldwide Exchange students

Background: ‘Internationalisation’ is what makes the University of Hong Kong (HKU) reputable. Ranked as the world top 25, in QS (Quacquarelli Symonds) 2019 World University Ranking, HKU provides students with ample opportunities to experience the global world, to possess a global mind. The HKU Worldwide Exchange Programme, established in 1998 by HKU, allows students to study abroad for a certain period to sharpen their global vision. Settings: This study investigated how HKU facilitates ‘internationalisation’, which contributes to the international fame of HKU. Narratives by HKU Worldwide Exchange students (whose anonymous identities were preserved) were examined to explore the ways in which these students participate in the global world, with a global mind. Aim: The research question structuring the study is: How does the participation in HKU Worldwide Exchange Programme prepare HKU students for the global world? Method: This article addressed the ways in which HKU prepares students for the global world. The knowledge contribution to internationalisation in higher education in relation to student exchange programmes as a result could fill the gap in studies of transformation in higher education. Result: Global attributes of HKU Worldwide Exchange students were found that contributes to their future careers. Being a global citizen is the ideal role of their careers, linking to a core mission of HKU. Conclusion: More policies on carrying out student exchange programmes for HKU are recommended to benefit more future students. The future of these golden assets could bring a promising prospect for the transformation of HE.

Locus of control, deppressive symptoms and perceived academic achievement of learners: a systemic review

The work aimed at reviewing studies on locus of control, depressive symptoms and academic performance of learners generally. It threw more light on the variables of the study for the benefit of the upcoming psychologists, highlighted the state of art in the area and emphasized the benefits of the work so far done. From the review, more research results showed relationship between external locus of control and depression, especially congruent externals. Internal LOC, stable and global attributions for positive events predicted high levels of academic performance. Congruent externality relates positively to depression compared to defensive externality. Stable attribution for negative events were related to high levels of performance in high achieving schools but not in low achieving schools. Significant negative relationship was found between self reported depressive symptoms and college academic performance. Learners with depressive symptoms experience more academic challenges than normal students. It was postulated that having depressive symptoms may not be tied to one`s attribution style, but making a realistic attribution. The work recommended among others that depressogenic attribution questionnaire be used in identifying students with depressogenic attribution style for training in realistic appraisal. Also further studies are required to compare the depression status of defensive externals with that of the internals and to compare their academic performance.KEYWORDS: Locus of control, attribution styles, depressive symptoms & academic performance

Examining Theoretical Predictors of (Mis)perceived Alcohol Norms

This study examined the association between perceived alcohol norms (descriptive and injunctive) and theoretical predictors of normative (mis)perceptions. Based on models of social norms, we explored whether recall and ease of imagining of other students' drinking, exposure to media and peer conversations normalizing alcohol use, and a tendency to make internal, stable, and global attributions predicted perceived alcohol norms for distal and proximal targets. The sample comprised 194 college students (51.5% female) ages 18-22 years (M = 19.3 years, SD = 1.09). Participants reported on personal alcohol use attitudes and behaviors, perceived injunctive and descriptive norms, and theoretical predictors of perceived norms. After controlling for personal attitudes, we found that attribution style and belief that the media normalizes alcohol use predicted typical-student injunctive norms. In contrast, after we controlled for personal alcohol use, we found that theoretical predictors do not help explain variation in perceived descriptive norms. Models aiming to explain the tendency to overestimate perceived norms may be most promising for understanding injunctive, as compared with descriptive, norms.

Correlation between heterogeneity and vulnerability of subway networks based on passenger flow

In this paper, we represent a subway network as a dynamic, directed and weighted graph, where vertices represent subway stations and edge weights represent passenger volume passing between two stations. Static and dynamic metrics which can represent vertices and edges' local and global attributes are proposed. Then dynamic properties of subway network in heterogeneity and vulnerability are further analyzed by standard deviation. Through a detailed analysis of Beijing subway network, we illustrate that the heterogeneity and vulnerability of Beijing subway network vary over time when passenger flow is taken into consideration. In addition, the vulnerability of the network is correlated with its heterogeneity based on local dynamic metric's distribution when passenger flow is taken into account, instead of the global dynamic metric's distribution, and the important station with higher flow degrees are identified.

Primary health care in leprosy, assessed by users and professionals

Objective: Evaluate the performance of primary health care in control of leprosy in Teresina, Brazil from the perspective of users and professionals.
 Methods: This cross-sectional, descriptive study involved 25 healthcare users with leprosy and 34 professionals (physicians and nurses) working in 13 municipal health units within the urban area of Teresina. The data were collected from January to June, 2017, using the Instrument for Assessing the Performance of Primary Care in Leprosy Control Actions, a document based on the Primary Care Assessment Tool/PCATool Brasil which measures the presence and extension of essential and derived attributes from primary health care.
 Results: The mean scores obtained for the essential, derived and global attributes, through the perception of the users, were lower than 6.6, indicating that the primary health services in Teresina are not sufficiently oriented to carry out leprosy control actions, mainly in terms of access, integrality of services provided, family orientation and community orientation. The professionals showed a contrasting view, with averages exceeding 6.6 for all attributes and scores. The difference in perception between the groups was significant for all attributes except for coordination (Mann-Whitney U test, p = 0.479).The overall evaluation of quality was not influenced by the user’s clinical or socioeconomic variables, but rather by the organization/provision of services.
 Conclusions: The municipal health units within the urban area of Teresina must be strongly guided by primary health care attributes in order to reach higher levels of user satisfaction.

Attributional style and depressive symptoms in a male prison sample.

The reformulated learned helplessness model proposes that people who tend to make internal, stable, and global attributions in response to uncontrollable aversive events are more likely to develop depression. The present study sought to investigate the nature of the relationship between attributional style and depression in a male prison sample. One hundred and one adult male prisoners from four medium security prisons in Ireland completed the Attributional Style Questionnaire and measures of depression (BDI-II) and anxiety (BAI). Severity of self-reported depressive symptoms in the present sample was comparable to other prison and clinical samples, but higher than community samples. Participants were more severely affected by depressive symptoms than anxiety. The original attributional dimensions (i.e. internal, stable, and global) predicted a significant amount of variance in depression, but the model was not significant after controlling for anxiety. A subsequent regression model, comprising attributional dimensions for both negative events and positive events including a measure of ‘uncontrollability’, accounted for 35% of the variance in depression and the model retained significance while controlling for anxiety. An attributional model of depression may be relevant to the prison population and could provide a valid insight into the development and treatment of depressive symptoms in prisoners. The findings are interpreted in relation to previous research and implications for theory, clinical practice, and rehabilitation are discussed.

A novel incremental topological mapping using global visual features

Mapping is fundamental in the navigation task of autonomous mobile robots. In appearance-based mapping, the process of detecting visual loop closing determines whether the current observation comes from a previously visited location or a new one. The purpose of this paper is to present a new method of exploring indoor environments by an autonomous mobile robot, as well as building topological maps based on global visual attributes. This method takes advantage of the small size of the GIST descriptors, and the ease of their calculation. We also make use of omnidirectional images to build a single global visual descriptor showing an entire room. Furthermore, in order to handle the problem of a visual loop closing, we have employed a formula that correctly assigns each global descriptor to its location.

A new methodology to reduce uncertainty of global attributes in naturally fractured reservoirs

Accurately characterizing fractures is complex. Several studies have proposed reducing uncertainty by incorporating fracture characterization into simulations, using a probabilistic approach, to maintain the geological consistency, of a range of models instead of a single matched model. We propose a new methodology, based on one of the steps of a general history-matching workflow, to reduce uncertainty of reservoir attributes in naturally fractured reservoirs. This methodology maintains geological consistency and can treat many reservoir attributes. To guarantee geological consistency, the geostatistical attributes (e.g., fracture aperture, length, and orientation) are used as parameters in the history matching. This allows us to control Discrete Fracture Network attributes, and systematically modify fractures. The iterative sensitivity analysis allows the inclusion of many (30 or more) uncertain attributes that might occur in a practical case. At each uncertainty reduction step, we use a sensitivity analysis to identify the most influential attributes to treat in each step. Working from the general history-matching workflow of Avansi et al. (2016), we adapted steps for use with our methodology, integrating the history matching with geostatistical modeling of fractures and other properties in a big loop approach. We applied our methodology to a synthetic case study of a naturally fractured reservoir, based on a real semi-synthetic carbonate field, offshore Brazil, to demonstrate the applicability in practical and complex cases. From the initial 18 uncertain attributes, we worked with only 5 and reduced the overall variability of the Objective Functions. Although the focus is on naturally fractured reservoirs, the proposed methodology can be applied to any type of reservoir.

A Preferred Leadership Portrait of Successful Cross-Cultural Leadership

This article seeks to highlight the significance of the understanding of the cultural dimensions, global leadership attributes, and leadership profiles of the home culture of Malaysia in comparison to the adopted host culture of Canada to incorporate the best cross-cultural leadership practices. It presents the preferred leadership portrait of successful cross-cultural leadership. Findings: Cross-cultural competence has become a considerable important research in the last two decades. Cross-cultural studies on cross-cultural differences in leadership interaction of the home and host cultures of leaders are needed. It is appropriate to consider the preferred leadership portrait that adapts to the cultural dimensions, global leadership attributes, and leadership profiles of the leader’s home and host cultures for effective cross-cultural leadership practice. Research limitations/implications: The findings of this conceptual review paper need further study to validate the application of the adaptation of the cultural dimensions, global leadership attributes, and leadership profiles of the related home and host countries based on the GLOBE study. Practical implications: There are values in the understanding of the application of cross-cultural principles based on cross-cultural research information for cross-cultural leadership adaptation and practices. The knowledge of the related leadership, cultural factors will facilitate cross-cultural understanding and interrelation. Leaders today are to develop the competencies to be effective in the globally connected societies as well. Originality/value: This paper on crosscultural leadership used findings based on the GLOBE studies as the main text to understand the various cultural factors that have an impact on leadership. The information on the cultural dimensions, global leadership attributes, and leadership profiles of the home and adopted host countries were compared and contrasted to construct the best approach for cross-cultural leadership practices. The concept of the preferred leadership portrait is in congruent to the leadership, sustainability concept that promotes the long term view and progress of leaders, systems, and organizations.

Child Attributions Mediate Relationships Between Violence Exposure and Trauma Symptomology

Violence and trauma exposure have been increasingly investigated as contributing to a range of negative outcomes in child physical, cognitive, emotional, social, and psychological functioning, particularly among youth who are racial/ethnic minorities. This study presents findings related to children's attributions of their violence and trauma exposure. Attributions are inferences made about the cause of an event, situation, or action, with internal, stable, and global attributions most likely to lead to negative psychological outcomes. Data were drawn from an on-going clinical intervention study with families at risk for child maltreatment and/or neglect residing in a large metropolitan city on the East Coast. Mediation models provide evidence for a mediated relationship between violence exposure and PTSD through child attribution. Children develop their definitions of violence, formulate reasons why the violence occurs, and react to violence based on interpreting and developing cognitive attributions and schema about their experiences with violence in order to adaptively cope.

Mediators and Moderators of the Association Between Stalking Victimization and Psychological Distress.

The current study aims to understand mediators and moderators of the relationship between stalking victimization and depression. Based on the reformulated learned helplessness theory, which emphasizes the role of internal, global, and stable attributions for negative events in the development of depression, we predicted that the association between stalking victimization and depression would be mediated by attributions for the stalking and characterological self-blame. We predicted that the association between stalking victimization and helplessness attributions or characterological self-blame, in turn, would be moderated by gender, sex-role identity, and length of stalking. Specifically, we hypothesized that female victims, victims possessing a feminine sex-role identity, and victims experiencing longer stalking episodes would be more likely to experience depression in comparison with male victims, victims possessing a masculine sex-role identity, and victims experiencing shorter stalking episodes. The results indicated that global attributions for the cause of stalking significantly mediated the relationship between stalking victimization and depression. The results for stable attributions, internal attributions, and characterological self-blame were nonsignificant. Furthermore, gender, sex-role identity, and length of stalking did not moderate the association between stalking and attributional style or characterological self-blame. The implications of these findings and directions for future research are discussed.

Growth mindset of anxiety buffers the link between stressful life events and psychological distress and coping strategies

Beliefs about the malleability of global attributes like personality and intelligence – known as mindsets – are well-established predictors of resilience to challenges in educational contexts. Recent research further suggests that mindsets about anxiety may act in a similar fashion with mental health resilience. In this study we examined whether anxiety mindset would moderate relations between history of stressful life events and psychological distress and coping. Consistent with predictions, relations between number of stressful life events and posttraumatic stress symptoms, depression, substance use, and motivations for non-suicidal self-injury were weaker among those with more of a growth mindset relative to those with more of a fixed mindset. These initial results suggest that anxiety mindsets function in a similar way for mental health resilience as how mindsets of intelligence function for academic outcomes.

Dynamics of subway networks based on vehicles operation timetable

In this paper, a subway network is represented as a dynamic, directed and weighted graph, in which vertices represent subway stations and weights of edges represent the number of vehicles passing through the edges by considering vehicles operation timetable. Meanwhile the definitions of static and dynamic metrics which can represent vertices’ and edges’ local and global attributes are proposed. Based on the model and metrics, standard deviation is further introduced to study the dynamic properties (heterogeneity and vulnerability) of subway networks. Through a detailed analysis of the Beijing subway network, we conclude that with the existing network structure, the heterogeneity and vulnerability of the Beijing subway network varies over time when the vehicle operation timetable is taken into consideration, and the distribution of edge weights affects the performance of the network. In other words, although the vehicles operation timetable is restrained by the physical structure of the network, it determines the performances and properties of the Beijing subway network.

GAL: A global-attributes assisted labeling system for outdoor scenes

An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes. First, by following a classical method, we use local features to provide initial labels for all super-pixels. Then, we develop a set of techniques to extract global attributes from 2D outdoor images. They include sky lines, ground lines, vanishing lines, etc. Finally, we propose the GAL system that integrates global attributes in the conditional random field (CRF) framework to improve initial labels so as to offer a more robust labeling result. The performance of the proposed GAL system is demonstrated and benchmarked with several state-of-the-art algorithms against a popular outdoor scene layout dataset.

The visually guided development of facial representations in the primate ventral visual pathway: A computer modeling study.

Experimental studies have shown that neurons at an intermediate stage of the primate ventral visual pathway, occipital face area, encode individual facial parts such as eyes and nose while neurons in the later stages, middle face patches, are selective to the full face by encoding the spatial relations between facial features. We have performed a computer modeling study to investigate how these cell firing properties may develop through unsupervised visually guided learning. A hierarchical neural network model of the primate's ventral visual pathway is trained by presenting many randomly generated faces to the network while a local learning rule modifies the strengths of the synaptic connections between neurons in successive layers. After training, the model is found to have developed the experimentally observed cell firing properties. In particular, we have shown how the visual system forms separate representations of facial features such as the eyes, nose, and mouth as well as monotonically tuned representations of the spatial relationships between these facial features. We also demonstrated how the primate brain learns to represent facial expression independently of facial identity. Furthermore, based on the simulation results, we propose that neurons encoding different global attributes simply represent different spatial relationships between local features with monotonic tuning curves or particular combinations of these spatial relations. (PsycINFO Database Record

An empirical model for probabilistic decadal prediction: global attribution and regional hindcasts

Empirical models, designed to predict surface variables over seasons to decades ahead, provide useful benchmarks for comparison against the performance of dynamical forecast systems; they may also be employable as predictive tools for use by climate services in their own right. A new global empirical decadal prediction system is presented, based on a multiple linear regression approach designed to produce probabilistic output for comparison against dynamical models. A global attribution is performed initially to identify the important forcing and predictor components of the model . Ensemble hindcasts of surface air temperature anomaly fields are then generated, based on the forcings and predictors identified as important, under a series of different prediction ‘modes’ and their performance is evaluated. The modes include a real-time setting, a scenario in which future volcanic forcings are prescribed during the hindcasts, and an approach which exploits knowledge of the forced trend. A two-tier prediction system, which uses knowledge of future sea surface temperatures in the Pacific and Atlantic Oceans, is also tested, but within a perfect knowledge framework. Each mode is designed to identify sources of predictability and uncertainty, as well as investigate different approaches to the design of decadal prediction systems for operational use. It is found that the empirical model shows skill above that of persistence hindcasts for annual means at lead times of up to 10 years ahead in all of the prediction modes investigated. It is suggested that hindcasts which exploit full knowledge of the forced trend due to increasing greenhouse gases throughout the hindcast period can provide more robust estimates of model bias for the calibration of the empirical model in an operational setting. The two-tier system shows potential for improved real-time prediction, given the assumption that skilful predictions of large-scale modes of variability are available. The empirical model framework has been designed with enough flexibility to facilitate further developments, including the prediction of other surface variables and the ability to incorporate additional predictors within the model that are shown to contribute significantly to variability at the local scale. It is also semi-operational in the sense that forecasts have been produced for the coming decade and can be updated when additional data becomes available.

Indirect Effects of Attributional Style for Positive Events on Depressive Symptoms Through Self-Esteem During Early Adolescence.

Research on adolescent depression has overwhelmingly focused on risk factors, such as stressful negative events and cognitive vulnerabilities, but much important information can be gained by focusing on protective factors. Thus, the current study aimed to broaden understanding on adolescent depression by considering the role of two positive elements as protective factors, attributional style for positive events and self-esteem, in a model of depression. The sample included 491 middle school students (52% female; n=249) with an age range from 12 to 15years (M=13.2, SD=.70). The sample was ethnically/racially diverse, with 55% White, 22% Hispanic, 10% Asian American, 3% African American, and 10% Biracial/Other. Correlational analyses indicated significant cross-sectional and longitudinal associations between an enhancing attributional style (internal, stable, global attributions for positive events), self-esteem and depressive symptoms. Further, prospective analyses using bootstrapping methodology demonstrated significant indirect effects of an enhancing attributional style on decreases in depressive symptoms through its effects on self-esteem. These findings highlight the importance of considering attributional style for positive events as a protective factor in the developmental course of depressive symptoms during early adolescence.

Multi-Modal Clique-Graph Matching for View-Based 3D Model Retrieval

Multi-view matching is an important but a challenging task in view-based 3D model retrieval. To address this challenge, we propose an original multi-modal clique graph (MCG) matching method in this paper. We systematically present a method for MCG generation that is composed of cliques, which consist of neighbor nodes in multi-modal feature space and hyper-edges that link pairwise cliques. Moreover, we propose an image set-based clique/edgewise similarity measure to address the issue of the set-to-set distance measure, which is the core problem in MCG matching. The proposed MCG provides the following benefits: 1) preserves the local and global attributes of a graph with the designed structure; 2) eliminates redundant and noisy information by strengthening inliers while suppressing outliers; and 3) avoids the difficulty of defining high-order attributes and solving hyper-graph matching. We validate the MCG-based 3D model retrieval using three popular single-modal data sets and one novel multi-modal data set. Extensive experiments show the superiority of the proposed method through comparisons. Moreover, we contribute a novel real-world 3D object data set, the multi-view RGB-D object data set. To the best of our knowledge, it is the largest real-world 3D object data set containing multi-modal and multi-view information.