Development of outdoor thermal comfort model for tourists in urban historical areas; A case study in Isfahan

The present study intended to evaluate thermal comfort conditions in microclimates of the urban historical areas of Isfahan, Iran during a heatwave. The thermal comfort conditions of different historical sites were compared during the daylight hours to determine the best time to visit each historical site. Using the results of this study, tourists can select the best timeframe with appropriate thermal conditions to visit the historical sites of Isfahan. Along with performing field measurements in the intended historical sites, a questionnaire was used to determine the thermal comfort range of tourists. ENVI-met is used in order to properly simulate the outdoor thermal environment of the historical touristic areas in Isfahan during the hottest as well as the most touristic month of the year. The results of questionnaire and simulations are compared with each other. It was shown that three historical sites with higher thermal stress experience an unpleasant thermal condition. The results of questionnaire show that the comfort range of tourists is within 23.06–29.73 °C PET. The thermal conditions of Si-o-Se Pol, Hasht Behesht and Naqsh-e-Jahan are within the thermal comfort range at 19,20 and 21 p.m. respectively. During the daytime, thermal comfort conditions varied from 4.9 °C PET at 8 a.m. to 8.1 °C PET at 3 p.m. Early morning hours were the most comfortable time to visit the historical sites of Menar-e-Jonban, Masjed-e-Jame and Vank Cathedral in Isfahan. During the peak hours of heat, the priority of thermal comfort goes to Masjed-e-Jame, Menar-e-Jonban and Si-o-Se Pol, respectively

The Impact of Project Delivery Methods on Dispute Occurrence in Public Highway Projects

The construction industry is a complex and competitive industry in which different participants with different expertise, talents, and levels of knowledge work together to achieve their objectives and complete a project. Sine different participants with different interest involve in a construction project, therefore, conflicts arise and become inevitable. Conflicts in projects will cause an adversarial environment which result to disputes. Hence, if conflicts are not well managed and resolved in a timely manner, they quickly turn into disputes, which prevent the successful completion of the construction project, in terms of cost and time, and increasing the potential for poor project performance and failures. It has also been conceived that selecting the most appropriate project delivery and management method is a key to reduce disputes on a project. Hence, having an early and important decision to select the right Project Delivery Method is critical in order to have a successful result. This research empirically addresses the impact of PDM selection on severity and frequency of the disputes, which based on such a choice can result in. As a result, this study is discussing whether the PDM selection can affect the type and severity of the disputes in projects or not. This study had been conducted with the collaboration of U.S. Department of Transportation and can help those people who are making a decision to select an appropriate PDM and sign the construction contracts under the best PDM selection in order to gain the best results based on their choice

Translation and psychometrics of instrument of professional attitude for student nurses (IPASN) scale

Background: Achieving professional identity is one of the research priorities, and considering the importance of professional attitude among student nurses, it is necessary to identify a scale that is able to measure their achievement in professional attitude. Objectives: The present study was conducted with the aim of translation and psychometrics of instrument of professional attitude for student nurses (IPASN) scale. Methods: In this cross-sectional study, the translation and psychometrics of �instrument of professional attitude for student nurses scale� was performed based on the model of Wild et al. The third to eighth semester nursing students of Ilam University of Medical Sciences comprised the research population who were 300 students. After translation and retranslation, the editorial comments of the scale designer were applied. Then, content validity, face validity, confirmatory factor analysis, internal consistency, and test-retest reliability of the Persian version were calculated. Data were analyzed using SPSS software version 20 and EQS6.1. Results: The confirmatory factor analysis of the 28-item scale with its 8 sub-scales was confirmed by deleting the statement 7 and moving the items 10, 15, and 18. The reliability of the internal consistency was calculated to be α = 0.89 for the total scale, and (0.89), (0.45), (0.67), (0.69), (0.69), (0.73), (0.70), and (0.93) for the sub-scales, respectively. Pearson�s correlation coefficient was r = 0.79 for test-retest reliability (P < 0.005). Conclusions: This study shows that the modified Persian version of the instrument of professional attitude for student nurses scale with 27 statements is valid and reliable, and can be used to assess the nursing students towards their professional life. © 2020, Author(s)

The effect of urban shading and canyon geometry on outdoor thermal comfort in hot climates: A case study of Ahvaz, Iran

© 2020 Elsevier Ltd This study investigated the role of urban geometry and urban shading in improving the pedestrians’ thermal comfort in hot climate of Ahvaz, Iran. Six urban canyons are selected in Ahvaz. To determine the outdoor thermal comfort range, micrometeorological measurements and questionnaire survey were conducted in July 2018. ENVI-met is used to investigate the role of urban geometry and urban shadings. To evaluate the outdoor thermal comfort, physiologically equivalent temperature (PET) is calculated using RayMan. Using the results of the field studies, the outdoor thermal comfort range in Ahvaz is obtained within 19.6 °C to 30.9 °C PET. Simulation results show that the closer the canyon orientation is to the north-south direction, the lower the air temperature (Ta) and mean radiant temperature (MRT) are. Also, by reducing the canyon aspect ratio, PET increases as well. Urban shadings decreased MRT and PET up to 34 °C and 17.6 °C, respectively. In contrast, shadings did not affect the air temperature, significantly. PET reduction caused by shadings is more notable in east-west canyons, as well as in wider canyons. MRT and PET in all cases are highly correlated to SVF. The observations showed no strong correlation between Ta, relative humidity, and wind speed, with SVF in all canyons

Fluconazole resistance Candida albicans in females with recurrent vaginitis and Pir1 overexpression

Background: Some genes may be associated with Candida albicans resistance to azoles. Pir1 gene is described as responsible to induce resistance in C. albicans. Objectives: The current study aimed to find the relationship between fluconazole resistance and Pir1 protein (Pir1p) overexpression in the females with recurrent C. albicans vaginitis requiring longer fluconazole therapy. Patients and Methods: A total of 52l vaginal samples were obtained from the females with C. albicans vaginitis. The azole susceptibility phenotype was determined according to the Clinical Laboratory for Standards Institute (CLSI) protocol for disk diffusion method and inhibition zone for fluconazole. Expression of pir1 gene and fluconazole -resistance were evaluated using polymerase chain reaction (PCR) in C. albicans. Results: In the 52 isolates, 49 (94) were resistant to fluconazole. Overexpression of Pir1 gene was detected in 47 (96) fluconazole-resistant C. albicans isolates. Conclusions: The findings show fluconazole -resistance in C. albicans isolates with overexpression of Pir1p. © 2015, Ahvaz Jundishapur University of Medical Sciences

Cyber security for smart grid: a human-automation interaction framework

Abstract-- Power grid cyber security is turning into a vital concern, while we are moving from the traditional power grid toward modern Smart Grid (SG). To achieve the smart grid objectives, development of Information Technology (IT) infrastructure and computer based automation is necessary. This development makes the smart grid more prone to the cyber attacks. This paper presents a cyber security strategy for the smart grid based on Human Automation Interaction (HAI) theory and especially Adaptive Autonomy (AA) concept. We scheme an adaptive Level of Automation (LOA) for Supervisory Control and Data Acquisition (SCADA) systems. This level of automation will be adapted to some environmental conditions which are presented in this paper. The paper presents a brief background, methodology (methodology design), implementation and discussions. Index Terms—smart grid, human automation interaction, adaptive autonomy, cyber security, performance shaping facto

Deep Burst Denoising

Noise is an inherent issue of low-light image capture, one which is exacerbated on mobile devices due to their narrow apertures and small sensors. One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera, thus allowing each photosite to integrate more light and decrease noise variance. However, there are two downsides of long exposures: (a) bright regions can exceed the sensor range, and (b) camera and scene motion will result in blurred images. Another way of gathering more light is to capture multiple short (thus noisy) frames in a "burst" and intelligently integrate the content, thus avoiding the above downsides. In this paper, we use the burst-capture strategy and implement the intelligent integration via a recurrent fully convolutional deep neural net (CNN). We build our novel, multiframe architecture to be a simple addition to any single frame denoising model, and design to handle an arbitrary number of noisy input frames. We show that it achieves state of the art denoising results on our burst dataset, improving on the best published multi-frame techniques, such as VBM4D and FlexISP. Finally, we explore other applications of image enhancement by integrating content from multiple frames and demonstrate that our DNN architecture generalizes well to image super-resolution