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This study aims to investigate the role of social media in increasing trust, self-perceived creativity and millennial entrepreneurial satisfaction.

The empirical analysis was conducted using a sample of 385 millennial entrepreneurs that were recruited for online survey. After conducting reliability and validity tests, the data were analyzed using partial least squares structural equation modeling.

The results showed that the quality of social media information had a direct and indirect positive and significant effect on trust and satisfaction. Social media marketing activities had a direct and indirect positive and significant effect on trust and self-perceived creativity. System Quality of social media also has a significant direct influence on trust. However, there is no direct relationship to satisfaction. Finally, social media marketing activities have a significant direct effect on trust and satisfaction.

This research can contribute to marketing experts and millennial entrepreneurs in improving the quality of advertising information and the credibility of social media used to support creativity, trust and satisfaction. In addition, marketing experts and millennial entrepreneurs with online-based communities should optimize their marketing activities on social media.

This study has shown a more comprehensive model of the relationship between information quality, system quality, social media marketing activities, self-perceived creativity, trust and satisfaction. This study also reveals a significant direct and indirect effect of social media marketing activities on satisfaction.

The purpose of this paper is to examine descriptive sensory characteristics and consumer acceptability of eight commercial ready-to-eat cooked rice samples by 8 trained panelists and 50 consumers.

A total of 24 descriptive attributes for appearance, odor/aroma, taste/flavor, and texture were developed. Also Consumer Acceptability (CA) was performed for overall liking, appearance, flavor, and texture liking. All statistical analyses were using analysis of variance, principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least square regression (PLSR).

The overall liking score for the cooked white rice from C brand was the highest (6.43) among the eight samples. Three groups of eight commercial ready-to-eat cooked rice samples were obtained from PCA and HCA. The samples of cooked white rice from C, N, and O brand characterized by intactness, starch odor, translucency, whiteness, and glossiness were located on to the positive PLS 1, whereas the samples of cooked white rice from D and E brand characterized by scorched odor, cohesiveness, stickiness, and moistness were located on the negative side of PLS 2 in the PLSR analysis.

Further studies on the improvement of sensory quality for brown rice are necessary to increase CA in terms of health functionality of brown rice.

Exposure therapy is a widely used treatment for patients with post-traumatic stress dis -order. It involves reduction of fear through progressive exposure to frightening stimuli in a therapeutic environment. Here we propose a new method designed to improve the effectiveness of exposure therapy. We hypothesized that device-guided breathing during exposure therapy can increase the capability of the patient to undergo effective exposure. The successful application of the method is described for a single patient. Using a device to slow and regularize breathing, the patient was calmed and experienced a greater sense of control and a profound effect of the exposure. The use of the breathing-guiding device is believed to reduce arousal level and excitability of sympathetic “fight-flight” behaviors. The present study suggests that device-guided breathing integrated with exposure therapy may provide a practically feasible and potentially promising non-pharmacological treatment after trauma.

This study was performed to confirm that autonomic nervous activity is affected by breathing speed. I hypothesized that prolonged expiratory breathing would promote parasympathetic dominance, whereas rapid breathing would promote sympathetic dominance. Ten healthy men, ages 21-28 years old, were instructed to perform prolonged expiratory breathing (6 seconds expiration, 4 seconds inspiration) after spontaneous breathing and rapid breathing (1 second expiration, 1 second inspiration) after spontaneous breathing; changes in high frequency (HF) and low frequency (LF)/HF of heart rate variability (HRV) were measured during each type of breathing. During prolonged expiratory breathing, parasympathetic nervous function was significantly activated. Conversely, during rapid breathing, parasympathetic nervous function was significantly suppressed. The HRV method assessing sympathetic and parasympathetic modulation in this study is an indirect, noninvasive method with clear limitations. The use of additional techniques should be considered to clarify the relationships between the breathing speed and the mind.

The purpose of this report is to help the reader understand the difference between independent contractors and employees. Employers use independent contractors for many reasons, including cost, seasonal fluctuations, temporary assignments or highly skilled services. Independent contractors are different from employees in that they usually are not eligible for benefits such as health insurance or paid time off, are not covered by workers’ compensation insurance and are responsible for submitting their own income taxes to the Internal Revenue Service. However, someone does not become an independent contractor just because he or she is labelled that way, is not offered certain benefits or because her or his income taxes are not with held. In fact, not even the signing of a contract or agreement ensures that the independent contractor will not be classified as an employee by a government agency or the courts. The ultimate test to determine whether some one is an employee or an independent contractor is the degree of control an employer exercises over that individual’s work.

The purpose of this article is to discuss the assessment and inclusion of stakeholders' perception, and citizen participation instances to implementing management options to deal with climate threats within the existing institutional framework in Uruguay.

The approach being followed has different directional approaches and integrates them within a single assessment. First, a prescriptive climate change top-down path. Second, stakeholders' perception is assessed within a bottom-up risk-management model. Third, institutional agreements, arrangements, and consensus are reached. Considering the need for agreed and effective options, the approach is customized and turned flexible enough to accept inputs from scientists, managers, and stakeholders.

The co-production of knowledge and the achievement of agreed and feasible options is achieved by means of a consultation process which results in adaptive co-management agreements and collective decisions. This process is seen as both an empowerment of local actors and a multi-stakeholder learning-by-doing experiment. This allows for both an increase in coping capacity to climate threats and facilitates long standing conflict resolution.

Much literature discusses the importance of the role of social power in inclusive processes towards adaptation, and how difficult is ceding a genuine voice to stakeholders. The co-production of knowledge is a way to achieve the rapprochement of scientists with institutional and community actors. Thus, the participatory process gives stakeholders responsibility for identifying their specific needs and priorities and helps to establish community ownership.

This paper covers the development of a multidimensional contract administration performance model (CAPM) for construction projects. The proposed CAPM is intended to be used by the industry stakeholders to measure the construction contract administration (CCA) performance and identify the strengths and weaknesses of the CCA system for running or completed projects.

The research design follows a sequential mixed methodology of qualitative and quantitative data collection and analysis. In the first phase, contract administration indicators were collected from relevant literature. In the second phase, an online questionnaire was prepared, and data were collected and analyzed using the crisp value of fuzzy membership function, and structural equation modeling (SEM). The fuzzy set was chosen for this study due to the presence of uncertainty and fuzziness associated with the importance of several key indicators affecting the CCA performance. Finally, SEM was used to test and analyze interrelationships among constructs of CCA performance.

The data collected from 336 construction professionals worldwide through an online survey was utilized to develop the fuzzy structural equation model. The goodness-of-fit and reliability tests validated the model. The study concluded a significant correlation between CCA performance, CCA operational indicators, and the process groups.

The contribution of this paper to the existing knowledge is the development of a fuzzy structural equation model that serves as a measurement tool for the contract administration performance. This is the first quantitative structural equation model to capture contract administration performance. The model consists of 93 Construction Contract Administration(CCA) performance indicators categorized into 11 project management process groups namely: project governance and start-up; team management; communication and relationship management; quality and acceptance management; performance monitoring and reporting management; document and record management; financial management; changes and control management; claims and dispute resolution management; contract risk management and contract closeout management.