Measurements made of the acoustical characteristics of, and occupied noise levels in, ten eating establishments are described. Levels to which diners and employees were exposed varied from 45 to 82 dB(A). From these levels and diner questionnaire responses, the number of customers present and average noise levels to which individual diners were exposed during their visits were estimated. These data, assumptions about the number of talkers per customer, and classical room-acoustical theory were used to deduce talker voice output levels. These varied from slightly above "casual" to "loud." An iterative model for predicting speech and noise levels in eating establishments, including the Lombard effect as described by a new, proposed model, was developed. With the measured noise levels as the target for prediction, optimization techniques were used to find best estimates of unknown prediction parameters--such as those defining the Lombard effect, the number of talkers per customer, and the average absorption per customer--with highly credible results. The prediction algorithm and optimal parameters constitute a novel model for predicting speech and noise levels--and thus speech intelligibility--in eating establishments, as a function of the number of customers, including a proven, realistic model of the Lombard effect.

Introduction: Diabetes is among the common diseases in the elderly which results in depression, anxiety, and emotional distress in the elderly and impacts the disease control by the individual. This study was conducted with the aim of exploring the effectiveness of acceptance and commitment therapy (ACT) in the improvement of emotional distress in the elderly with type 2 diabetes. Materials and methods: In this randomized control trial, 80 elderly with type 2 diabetes aged ≥60 years were randomly selected among the individuals visiting Yazd Diabetes Research Center. Then, the patients were randomly divided into two 40 individual groups, ie, the intervention group and the control group. The intervention group underwent group ACT during eight 90-min sessions. The diabetes-related emotional distress questionnaire was completed before the intervention, after the end of the group sessions and 2 months after that. The statistical software SPSS version 21 was used for data analysis. Results: The emotional mean scores in the intervention and control groups were not significantly different before the intervention. However, the mean score of the intervention group was lower than of the control group immediately after the intervention (p=0.02) and 2 months after the intervention (p=0.02). Conclusion: ACT results in the improvement of diabetes-related emotional distress in the intervention group. Considering the effectiveness of ACT, this therapeutic method is recommended to be used for the amelioration of emotional distress in the elderly with type 2 diabetes.

The acoustical environments, and the acoustical conditions to which customers and workers are exposed, were evaluated in ten existing eating establishments. The perceived quality of the EE acoustical environments for customers and employees, and how respondent-related factors and the EE acoustical characteristics affect it, were investigated. These objectives were achieved by way of physical and acoustical measurements, and customer and employee questionnaires and their statistical analysis. Summary statistics, and the results of correlation and stratification analyses of the data, are reported and interpreted. A simple regression model for the reduction of customer enjoyment of the dining experience is presented. Lessons learned for EE design are discussed.

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