Aim: The aim of the present study was to evaluate the effects of music on preoperative state anxiety and physiological parameters including heart rate, respiratory rate and mean systolic, and diastolic blood pressure in 60 patients undergoing general surgery. Methods: The study was designed as a randomized quasi-experimental trial. A total of 60 patients were allocated to two equal groups. Subjects in the trial group listened to non-vocal classical music through headphones for 20 minutes before entering the operating theater. State anxiety was measured by the State-Trait Anxiety Inventory (STAI), and the physiological parameters by pulse CO-oximeter (Masimo RAD-57C, Finland). The results obtained were finally analyzed by SPSS software version 16 using chi-square and t-tests. Results: There was an insignificant difference in demographic data between the two groups (p > 0.05), but before and after listening to music, a significant difference was observed in state anxiety (p < 0.01). Conclusions: Significant differences in both state anxiety and physiological parameters confirmed that music as a non-pharmacological intervention can be used as a complementary tool in nursing care.

In recent decades, the need for an accurate evaluation of energy use in buildings has become increasingly growing due to the rise in environmental awareness and political pressure around the world. The estimation of energy consumption is, therefore, a crucial criterion during building early-stage design. This paper investigates the recent trends and achievements in modelling occupant behaviour in energy simulation studies and aims to highlight achievements and research gaps in the domain. This study presents a state-of-the-art theoretical review of the research background through published papers in leading journals within this research domain. The main goals of this study lay in the two layers of determining recent research trends and crucial findings in the subject of occupants' behaviour and energy consumption, and more importantly, to identify research gaps for future studies. This research review highlights several areas for future research including studying behaviour in different countries considering various climate, cultures and comfort preferences affecting energy-driven behaviour and conducting similar studies in different building typologies and occupancies. Moreover, based on the reviewed article, it is clear that evaluating occupant behaviour as an independent variable on a larger scale energy analysis in urban studies needs to be addressed in future studies. The authors found a lack of comprehensive approaches to comfort and considering all forms of comfort while studying behaviour and consumption in recent studies. It is recommended that further investigation of behaviour and total energy consumption regarding occupant real comfort conditions be conducted.

This data article presents data related to 100 residential units in Tehran, Iran. For each building the ``average monthly electricity consumption'' data for 190 months has been provided. In addition, some physical characteristics of each building are given in the dataset. Presented data includes collected electricity end-users in residential units as well as thermos-physical characteristics of the buildings through a structured questionnaire. The physical characteristics covered in this study include; the number of floors, morphology of the yard and the ratio of the windows on each side window material, area, floor number of the studied residential unit, location in the city, cooling system, heating system, and so on. Information provided in this data article can be useful for research on energy prediction studies and also energy management strategies, and policy making to achieve sustainability targets. Having few datasets published on this topic, especially in hot and arid geographic regions, authors believe that the result of this data study can be generalized to the larger region of the Middle East and North Africa (MENA). The data consists of two parts; 1. Physical specifications of the building and 2. History of electricity consumption.

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