Effects of restaurant green practices: Which practices are important and effective?

As customers’ ecological concern is steadily increasing, demand for products and services designed to be less harmful to the environment has augmented. By executing green practices, many business owners believe the image of their companies can be improved. Furthermore, the improved image may eventually motivate the customers to use products or services offered by the green company. The restaurant industry is witnessing the green movement as well. Restaurant owners adopt green practices to their properties with the purpose of creating a distinctive image that can differentiate them from their competitors. Therefore, restaurateurs strive to get this competitive advantage by introducing green practices into their restaurants. However, previous researches have not investigated the relationship between image of the company and customers\u27 behavioral intentions in the context of the green movement. This study attempted to find out the answer to the question whether green practices have strong effects on the image of the company and customers’ behavioral intentions in the hospitality industry. If so, can the increased image of the company affect customers’ behavioral intentions? Furthermore, how would this relationship be different within diverse segments of customers who have great ecological purchasing behavior or those who do not

A Case of Postprandial Hypotension in the Intensive Care Unit Treated With Acarbose

Postprandial hypotension (PPH) has not been described as a cause of hypotension after the return of spontaneous circulation (ROSC) in the intensive care unit (ICU). A 74 year old man underwent cardiopulmonary resuscitation (CPR) due to monomorphic ventricular tachycardia. After the ROSC, inotropic agents were not reduced but increased. PPH had occurred, according to the flow sheet, so a provocation test was performed. We noted hypotension but no serum hypoglycemia or tachycardia. The hypotension was diagnosed as PPH. We chose acarbose for treatment; thus, the inotropic agents were discontinued. This is the first case in which hypotension occurred in a patient recovering after CPR in the ICU and that the PPH was treated with acarbose. PPH should be considered and treated to manage hypotension in elderly patients in the ICU

Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations

a b s t r a c t This study empirically examined which restaurant experiences trigger customers to engage in positive electronic word-of-mouth (eWOM), where the quality of restaurant service (food quality, service quality, atmosphere, and price fairness) is the antecedent of eWOM communication. The results of this study suggest that (1) restaurants' food quality positively influences customers to spread positive eWOM, motivated by their desire to help the restaurant; (2) satisfactory restaurant experiences with service employees triggered positive eWOM, motivated by the need to help the restaurant or to express positive feelings; (3) a superior atmosphere in restaurants elicited positive eWOM motivated by a concern for others; and (4) price fairness in restaurants did not drive restaurant customers toward eWOM. Additionally, this study investigated sources of positive eWOM and types of eWOM media used among opinion leaders in the restaurant industry to enhance the practical implications of the study regarding online marketing. Because of the small number of opinion leaders in the study sample, specifying who the opinion leaders were (the source of eWOM) and the type of eWOM media the opinion leaders used had no effect. Further discussion and implications are provided in the text

Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea

The Korea Meteorological Administration uses soil moisture (SM) observed by the Advanced Microwave Scanning Radiometer-2 (AMSR2) to monitor drought. However, it may not be appropriate for monitoring drought in South Korea due to significant underestimation of SM. In this study, we used a deep learning method that performs better than traditional statistical and physical models for reliable estimation of SM based on remotely sensed satellite data. For estimating SM, we carefully selected input variables that exhibit a feedback loop with SM. To build an effective deep learning model, we examined the influences of sampling criteria and input parameters as well as the accuracy of several deep neural networks. The selected model was cross-validated to determine its stability. The estimated SM using deep learning had a high correlation coefficient (R) of 0.89 and a low root mean square error (RMSE; 3.825%) and bias (−0.039%) compared to in-situ measurements. A time series analysis using dynamic time warping was conducted which showed that the estimated SM was almost similar to the in-situ SM. In order to investigate the improvement in SM estimation using our method, it was compared with the Global Land Data Assimilation System and AMSR2. Significant improvements in R and a reduction in error values by more than half were achieved using our method. The estimated SM has finer spatial resolution at 4 km, and it can be rapidly produced, which will be useful for drought monitoring over the Korean Peninsula in near-real-time

The Development of a Sleep Intervention for Firefighters: The FIT-IN (Firefighter’s Therapy for Insomnia and Nightmares) Study

Background: Firefighters are vulnerable to irregular sleep patterns and sleep disturbance due to work characteristics such as shift work and frequent dispatch. However, there are few studies investigating intervention targeting sleep for firefighters. This preliminary study aimed to develop and test a sleep intervention, namely FIT-IN (Firefighter’s Therapy for Insomnia and Nightmares), which was based on existing evidence-based treatment tailored to firefighters in consideration of their occupational characteristics. Methods: This study implemented a single-group pre-post study design, utilizing an intervention developed based on brief behavior therapy for insomnia with imagery rehearsal therapy components. FIT-IN consisted of a total of three sessions (two face-to-face group sessions and one telephone session). Participants were recruited from Korean fire stations, and a total of 39 firefighters participated. Participants completed a sleep diary for two weeks, as well as the following questionnaires to assess their sleep and psychological factors: insomnia severity index (ISI), disturbing dream and nightmare severity index (DDNSI), Epworth sleepiness scale (ESS), depressive symptom inventory-suicidality subscale (DSI), and Patient Health Questionnaire-9 (PHQ-9). These questionnaires were administered before the first session and at the end of the second session. Results: The FIT-IN program produced improvements in sleep indices. There was a significant increase in sleep efficiency (p < 0.01), and a decrease in sleep onset latency, number of awakenings, and time in bed (p < 0.05), as derived from weekly sleep diaries. In addition, significant decreases were shown for insomnia (p < 0.001) and nightmare severity (p < 0.01). Conclusion: There were significant improvements in sleep and other clinical indices (depression, PTSD scores) when comparing pre-and post-intervention scores. FIT-IN may be a feasible and practical option in alleviating sleep disturbance in this population. Further studies will be needed to ascertain FIT-IN’s effectiveness