Visual Preferences and Human Interactions with Shading and Electric Lighting Systems

Buildings in the United States are responsible for 40% of the primary energy use and 30% of carbon dioxide emissions. As awareness is being raised for the energy consumption and environmental impacts of buildings, it is not surprising that improving building performance has gained significant attention over the past years. Increasing the energy efficiency and reducing the emissions associated with buildings is possible through the use of high-performance building design and implementation of advanced building controls. Moreover, as part of the modern life style, people in developed countries spend most of their time inside the buildings. This fact necessitates consideration of two important requirements. First that energy saving achieved by efficiency methods in practice should not compromise occupants’ comfort. Second, energy impacts of building users and their indoor environment preferences should be taken into account at both design and operation phases. Therefore, understanding and modeling human-building interactions and their links to energy consumption and occupant satisfaction with the indoor environment is the main goal of this research. To this end and with a focus on the visual environment, systematic data collection from a large number of participants is undertaken and novel probabilistic modeling approaches are explored to provide new insights towards human-centered sustainable buildings. The specific research objectives of this thesis are: 1. Study human interactions with motorized roller shades and dimmable electric lights as well as human perception and satisfaction with the luminous environment in private offices with variable daylight and electric light conditions. 2. Develop a novel Bayesian approach to model the interrelated human interactions with window shades and electric lights. 3. Develop a Bayesian classification and inference modeling framework for occupants’ visual preferences in daylit perimeter offices. To this end, four identical private offices in a high performance building located in West Lafayette, IN were equipped with sensing network and online survey questionnaires to study almost 300 occupants during the two sets of field studies conducted for this thesis. The first field study extends the knowledge of human-building interactions to advanced building systems such as motorized roller shades and dimmable electric lights and reveals behavioral patterns enabled through side-by-side comparisons of different environmental controls and user interfaces ranging from fully automated to fully manual and from low to high levels of accessibility (wall switch, remote controller and graphical web interface). Results of the field study reveal: (a) occupational dynamics and human variables as two key features, in addition to environmental variables, in describing human-shading and -electric lighting interactions; (b) higher daylight utilization in offices with easy-to-access controls; (c) strong preference for customized indoor climate, along with a relationship between occupant perception of control and acceptability of a wider range of visual conditions. With the insights gained from the first field study, the research extends to exploit the resulted dataset as a basis for the development of a hierarchical Bayesian approach which is used, for the first time, to model human interactions with motorized roller shades and dimmable electric lights. Bayesian multivariate binary-choice logit models have been constructed to predict shade raising/lowering and electric light increasing actions while Bayesian regression models with built-in physical constraints to estimate the magnitude of shading and electric lighting actions. The proposed models, in their structure, account for (a) intermediate operating states of the systems; (b) interrelated operation of shades and lights; (c) personal characteristics and human attributes. Moreover, the developed human-building interaction modeling framework benefits from the advantages of the Bayesian formalism as it (a) provides a systematic approach to identify significant features in describing the human-building interactions; (b) incorporates prior beliefs about the systems; (c) captures the epistemic uncertainty, which is important when dealing with small-sized datasets, a ubiquitous issue in human data collection in actual buildings. The second field study was designed and conducted to collect data for occupants’ satisfaction with the visual environment when exposed to different combinations of daylight and electric light conditions, along with data from room sensors, shading and light dimming states. The resulted dataset is then used as a basis to model occupants’ visual preferences such as prefer darker, prefer brighter, or satisfied with current conditions. Bayesian multinomial logistic regression is augmented with Dirichlet process prior to encode within the model structure that occupants’ visual preferences are influenced by a combination of environmental and control state variables as well as individual visual characteristics. The latter is treated as a hidden random variable which is used to cluster occupants with similar visual preference characteristics and to determine the optimal number of clusters among the observed population. Modeling results based on observations from 75 occupants in glare-free conditions suggest work plane illuminance, window unshaded area, and electric light ratio as significant features of the general visual preference model and reveal the existence of three distinct clusters with physical interpretation; preference for bright, moderate, and dark conditions. In the final step, a method for learning the visual preferences of new occupants is deployed which uses a mixture of the general probabilistic sub-models to infer new occupants’ cluster values and personalized preference profiles. The proposed approach proves to be efficient as it is shown to predict personalized profiles with 81% prediction accuracy with very few observations (less than 16) from each new occupant. In summary, the systematic data collection methods and prototype interfaces used in this dissertation establish a consistent and reliable approach for studying human interactions with building systems and satisfaction with the indoor environment. Unique datasets for human attributes towards the visual environment in perimeter building zones have been generated especially for the occupants’ direct preference votes with different visual conditions which is currently lacked in the literature. The probabilistic models for human interactions with shading and lighting systems and occupants’ visual preferences incorporate individual characteristics and account for uncertainties associated with limited data, thus, are to increase prediction accuracy when implemented in Building Performance Simulation tools. The research presented herein facilitates an effective pathway towards implementation of adaptive personalized environments and is a necessary precursor for future investigation and expansion to human-centered building controls

Stochastic Model Predictive Control of Mixed-mode Buildings Based on Probabilistic Interactions of Occupants With Window Blinds

Between 4% to 20% of energy used for HVAC, lighting and refrigeration in a building is wasted due to issues associated with systems operations. It is estimated that proper building energy load control and operation can result in up to 40% utility cost savings. Current heuristic rules based on decision trees are difficult to define, manage and optimize as buildings become more complex. Advanced control strategies with weather forecast and cooling load anticipation, known as model predictive control (MPC), offer an attractive alternative for buildings with slow dynamics. However, MPC is mostly practiced through deterministic approaches. Deterministic MPC implicitly assumes that a dynamic model is able to perfectly predict the future behavior of the building over the desired control window, or prediction horizon. However, this assumption is clearly not rational because there will be both modeling errors and disturbances acting on the system over this period. One of these disturbances is associated with building occupant behaviors which interfere with deterministic assumptions. In this study, a probabilistic model of occupants’ behavior on window blind closing event is used to represent the disturbance coming from interactions of building residents with window blinds. This model is a multiple logistic regression analysis, based on a field study in an office building at the University of California, Berkeley (Inkarojrit, 2005). It considers the incident solar radiation on window surface and occupants’ self-reported brightness sensitivity as variable parameters to predict the closing event of blinds with 86.3% of accuracy. The probability of closing event is compared with a random number from the uniform distribution on the interval [0,1] at each time step and if it is greater than the random number, some indicator function will be equal to 1 (closing action) and vice versa. In order to implement the stochastic MPC, Monte Carlo simulation needs to be conducted due to the randomness of occupants’ behavior in closing the blinds. A test-building with mixed-mode cooling and high solar gains is considered as a test-bed. In our methodology, a detailed dynamic building model is developed and it is then used to identify the parameters of a 4th order linear time-variant state-space model. In the MPC formulation, the window opening schedule is optimized for the upcoming prediction horizon and the cost function is the minimization of energy usage subject to thermal comfort constraints during this horizon. Optimal control sequences based on the proposed stochastic MPC framework will be compared with deterministic MPC approaches to investigate possible advantages of considering uncertainties of occupant actions in model predictive controllers of buildings. References: Inkarojrit V., 2005. Balancing Comfort: Occupants’ Control of Window Blinds in Private Offices. PhD thesis, School of Architecture, University of California Berkeley

Determination of the design parameters for making urban wastewater plants in cold regions of Iran

زمینه و هدف: تعیین مشخصات کمی و کیفی فاضلاب خام ورودی به تصفیه خانه ها یکی از ارکان اصلی طراحی صحیح تصفیه خانه های فاضلاب به حساب می آید. این مطالعه با هدف تعیین پارامترهای طراحی تصفیه خانه های فاضلاب شهری برای مناطق سردسیر کشور انجام شد. روش بررسی: در این مطالعه توصیفی- تحلیلی سه تصفیه خانه فاضلاب شهرکرد، بروجن و فارسان واقع در استان چهارمحال و بختیاری به عنوان پایلوت در منطقه سردسیر انتخاب و مشخصات کمی و کیفی فاضلاب ورودی به آنها در یک دوره یکساله (سال 1386) بررسی گردید. علاوه بر اندازه گیری پیوسته دبی فاضلاب ورودی به تصفیه خانه، دما، pH ورودی، غلظت اکسیژن خواهی شیمیایی (COD)، غلظت اکسیژن خواهی بیوشیمیایی پنج روزه (BOD)، مواد معلق (TSS)، مواد معلق فرار (VSS)، نیتــــروژن کجلدال (TKN)، فسفر فسفاتی، در نمونه های مرکب 24 ساعته متناسب با دبی، اندازه گیری شد.داده ها به کمک آزمون های آماری t و ANOVA تجزیه و تحلیل شدند. یافته ها: میانگین سرانه پارامترهای مورد تحقیق در این مطالعه بر حسب گرم در روز به ازای هر نفر برای BOD5 معادل 41، COD معادل 60، TSS معادل 65، VSS معادل 47، TKN معادل 3/8 و برای فسفات معادل 93/0 و متوسط تولید فاضلاب، 177 لیتر به ازای هر نفر در روز و ضریب حداکثر و حداقل دبی فاضلاب به ترتیب 76/1 و 29/0 بدست آمد. مقایسه نتایج پارامترهای سرانه مورد نظر در سه تصفیه خانه اختلاف معنی داری بین پارامترهای BOD5، COD، نیتروژن کجدال و فسفر وجود نداشت ولی میزان TSS، VSS در تصفیه خانه های مورد مطالعه بیشتر بود (05/0

A Bayesian Approach for Modeling Occupants\u27 Use of Window Shades

Despite the significant impact of occupant interactions with window shading systems on visual comfort and building energy consumption, there are still significant gaps in understanding and predicting these complex phenomena. This paper presents a Bayesian modeling approach for the prediction of states of motorized roller shades operated by occupants. It is based on a field study with large number of human test-subjects in a high performance building with advanced technology and easy-to-access user interfaces for environmental controls. Unlike the Frequentist methods used in previous studies, the Bayesian approach allows for uncertainty quantification which provides further insight on parameter estimates in models. This information is important when dealing with rather small-sized datasets which is often the case in real applications of human data collection. In addition, this study contributes to the body of knowledge by (1) expanding the investigation of human-building interactions to motorized interior roller shades; (2) considering human attributes and personal characteristics as important underlying variables of window shade use; (3) allowing for prediction of intermediate operating states of the shading system

Occupational Burnout and Its Related Factors Among Iranian Nurses: A Cross-Sectional Study in Shahroud, Northeast of Iran

BACKGROUND: Good physical and mental health of employees is one of the major characteristics of a healthy organisation. AIM: Due to the importance of occupational burnout and its potentially negative consequences, the aim of this study was to assess occupational burnout and its related factors among Iranian nurses. METHODS: In this cross-sectional study, 205 nurses who were working in two educational hospitals affiliated with Shahroud University of Medical Sciences were included. Forty-two of the nurses were male, and 163 were female (mean age: 31 years). Maslach Occupational Burnout Inventory, demographic and job characteristics questionnaires were completed for each nurse. Questionnaires were then collected, and data were analysed statistically by SPSS, version 22. RESULTS: In the assessment of occupational burnout, the highest level was observed in emotional exhaustion and then in personal performance. There was a significant difference between the frequency of nurses' emotional exhaustion domain in terms of gender (P < 0.05), so that, women suffered more from emotional exhaustion. There was a significant difference between the frequencies of nurses' performance in terms of marital status (P < 0.05) so that married people had more personal performance disorder. CONCLUSION: The results of this study showed that nurses suffered from low occupational burnout. Female gender, sleeping disorders, awakening at night and employment in stressful wards such as the emergency ward was associated with a higher level of occupational burnout in nurses

Evaluation of dose distribution of an intraoperative radiotherapy device using thermoluminescent dosimeters and radiographic films

Background: To investigate dose distribution of the 5cm spherical applicator of the INTRABEAM™ intraoperative radiation therapy (IORT) device via thermoluminescence dosimeters (TLDs) and Radiographic films. Independent dose distribution assessment of IORT devices is considered important. Several methods are described for this purpose, including TLDs and films. However, Radiographic films are not routinely used. Materials and methods: Twenty TLDs were used for depth dose measuring and evaluating the isotropy in water. Additionally, the isotropy was assessed separately via Radiographic films in air by drawing isodose curves. Results: TLD measurements showed a steep dose decline which the relative average dose of 0.94 at the applicator surface reduced to 0.32, 0.13, and 0.07 at 1, 2, and 3 cm depths in water, respectively. Some remarkable isodose curves prepared using Radiographic films showed forward anisotropy of the 5 cm applicator. Conclusion: A very steep dose decline and approximately isotropic dose distribution of the 5 cm applicator were observed via TLD measurements. Radiographic films showed acceptable potential for drawing dose distribution maps. However, they should be applied in more various radiation setups to be implemented more confidently

Comparing the Efficacy of Mindfulness-Based Stress Reduction Therapy with Emotion Regulation Treatment on Quality of Life and Symptoms of Irritable Bowel Syndrome

Objective: Irritable bowel syndrome is a common gastrointestinal disorder. The perception of stress and GI-specific anxiety play a key role in irritable bowel syndrome (IBS). The present study aims at comparing the efficacy of mindfulness-based stress reduction therapy with emotion regulation on the quality of life and severity in patients IBS. Method: This randomized clinical trial was conducted in 3 phases: pretest, posttest, and follow-up. Follow-up was performed 2 months after the last intervention. The study population consisted of 24 IBS patients who were randomly selected according to Rome-IV Criteria and were then divided into 3 eight-member groups: (1) mindfulness-based stress reduction, (2) emotion regulation, and (3) control group. IBS-QOL34 and IBS-SSS were administered as assessment tools to all the 3 groups. The experimental groups were subjected to MBSR and ER psychotherapy, while the control group received no psychological intervention. After the 2-month follow-up, the 3 groups were evaluated again. Results: The results revealed that MBSR improved the quality of life of IBS patients and dicreased severity of their condition. The findings of between and within subjects design revealed that the difference between MBSR and control groups was significant in IBS at follow-up (p = 0.01). Conclusion: MBSR could be considered as a new, effective, and stable method in psychotherapy, in irritable bowel syndrome

第711回 千葉医学会例会・第20回 佐藤外科例会 32.

<p>It obtained by maximum likelihood method using HKY+<i>Г</i>+I as nucleotides' substitution model. Triangleshows the position of cluster C which is detailed in (A). See <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0162492#pone.0162492.g001" target="_blank">Fig 1</a> legend for more details.</p

Post-discharge health assessment in survivors of coronavirus disease: a time-point analysis of a prospective cohort study

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.PURPOSE: The objective of this study was to quantitatively evaluate psychological and quality of life-related complications at three months following discharge in hospitalized coronavirus disease 2019 (COVID-19) patients during the pandemic in Iran. METHODS: In this time-point analysis of prospective cohort study data, adult patients hospitalized with symptoms suggestive of COVID-19 were enrolled. Patients were stratifed in analyses based on severity. The primary outcomes consisted of psychological problems and pulmonary function tests (PFTs) in the three months following discharge, with Health-related quality of life (HRQoL) as the secondary outcome. Exploratory predictors were determined for both primary and secondary outcomes. Results 283 out of 900 (30%) eligible patients were accessible for the follow-up assessment and included in the study. The mean age was 53.65±13.43 years, with 68% experiencing a severe disease course. At the time of the fnal follow-up, participants still reported persistent symptoms, among which fatigue, shortness of breath, and cough were the most common. Based on the regression-adjusted analysis, lower levels of forced expiratory volume in one second (FEV1) to forced vital capacity (FVC) ratio was associated with higher levels of depression (standardized ß=- 0.161 (SE=0.042), P=0.017) and stress levels (standardized ß=- 0.110 (SE=0.047), P=0.015). Furthermore, higher levels of anti-SARS-CoV-2 immunoglobulinM (IgM) were associated with signifcantly lower levels of depression (standardized ß=- 0.139 (SE=0.135), P=0.031). CONCLUSIONS: There is an association between lung damage during COVID-19 and the reduction of pulmonary function for up to three months from acute infection in hospitalized patients. Varying degrees of anxiety, depression, stress, and low HRQoL frequently occur in patients with COVID-19. More severe lung damage and lower COVID-19 antibodies were associated with lower levels of psychological health.Isfahan University of Medical Sciences, IR.MUI.MED.REC.1399.517, Ramin SamiPeer ReviewedPostprint (published version

Associations of vitamin D binding protein variants with the vitamin D-induced increase in serum 25-hydroxyvitamin D

Background: Vitamin D deficiency is a global problem that may be improved by vitamin D supplementation; however, the individual's response to the intervention varies. We aimed to investigate possible genetic factors that may modify the impact of environmental exposure on vitamin D status. The candidate gene variant we investigated was the Gc gene-rs4588 polymorphism at the vitamin D receptor (DBP) locus. Methods: A total of 619 healthy adolescent Iranian girls received 50000 IU of vitamin D3 weekly for 9 weeks. Serum 25(OH) D concentrations, metabolic profiles and dietary intake were measured at baseline and after 9 weeks of supplementation. The genotypes of the DBP variant (rs4588) were analyzed using the TaqMan genotyping assay. Results: Our results revealed that the rs4588 polymorphism might be associated with serum 25-hydroxy vitamin D both at baseline (p value=0.03) and after intervention (p value=0.008). It seemed that the outcome of the intervention was gene-related so that the subjects with common AA genotype were a better responder to vitamin D supplementation (Changes (%) 469.5(427.1) in AA carriers vs. 335.8(530) in GG holders), and carriers of the less common GG genotype experienced a rise in blood glucose after 9 weeks (Changes (%) 0 (1.5)). Our findings also showed that the statistical interaction between this variant and supplementation was statistically significant (intervention effect p-value<0.001 and p-value SNP effect=0.03). The regression model also revealed that after adjusted for potential confounders, likelihood of affecting serum 25(OH)D in individuals who were homozygous for the uncommon allele G was less than those homozygous for the more common AA genotype (OR=4.407 (1.82-8.89); p=0.001). Conclusion: Serum vitamin 25(OH) D following vitamin 25(OH) D3 supplementation appears to be modified by genetic background. The Gc genetic variant, rs4588 encoding the vitamin D receptor seems to influence the response to vitamin D supplementation. Key words: Total 25(OH) D, Supplementation, Gc gene, rs4588