Despite their relevance to multicultural issues in counseling psychology, religion and spirituality (R/S) issues have been largely neglected in counseling and psychology training programs (Brawer, Handal, Fabricatore, Roberts, & Wajda-Johnston, 2002; Russel & Yarhouse, 2006; Schulte, Skinner & Clairborn, 2002). This study presents the initial validity and reliability estimates of the Scale of Comfort with Integrating Religion/Spirituality in Counseling (SCIRSC), a self-reported measure to assess the comfort level of counselors-in-training with integrating R/S in their clinical practices. Three hundred participants from clinical and counseling graduate psychology training programs participated in this study. The exploratory factor analysis resulted in 5 factors: R/S Self-Disclosure, R/S Interventions, R/S Reflection, R/S Supervision and Consultation, and R/S Exploration. The SCIRSC was positively correlated with measures of R/S training (RSTS; Wang et al., 2008), R/S competency (Wang et al., 2008), and R/S practice habits in counseling (PHP; Wang et al., 2008), and was not correlated with a measure of impression management (BIDR; Paulhus, 1991). High internal consistency was also found in the total SCIRSC scale and its five subscales. A discussion of how this scale can add to the research and practice regarding the incorporation of R/S in counseling is provided.

Home-based psychotherapy has expanded in the mental health community; however, little was known about the therapists' comfort level in a home-based venue. The purpose of this quantitative study was to assess therapists' comfort level (TCL) in providing psychotherapy in a home-based setting and how therapeutic competency (TC), therapeutic relationship (TR), and advanced therapeutic training (ATT) related to the comfort level. The social-ecological systems theory and the theory of comfort served as the theoretical frameworks. The present study used the Therapist Comfort Scale, Counseling Competencies Scale-Revised, the Scale to Assess Therapeutic Relationship in Community Mental Health Care-Clinician, and a demographic questionnaire. A multiple linear regression and correlational analysis were conducted to assess the predictive relationships among the variables. The participants were 76 therapists who provided psychotherapy in a home-based setting. The results revealed a statistically significant positive relationship between TCL and TR. This finding indicated that as the TR score increased, TCL also increased. There was a statistically significant positive relationship between TCL and TC, which indicated that as the TC score increased, TCL also increased. There was a statistically significant positive relationship between TCL and ATT, which indicated that as the ATT score increased, TCL also increased. It was hoped that this study's findings can serve to inform and guide the home-based psychotherapists to improve their therapeutic relationship. Once the therapeutic relationship is formed, the therapists will obtain a high level of comfort in discussing concerns openly with the patients, and parents/caregivers. In addition, when therapists reach a high level of comfort, it could make a positive difference in the patients' treatment outcomes. Thus, the findings of this study initiated positive social change at the level of the individual home-based therapist as well as to the vulnerable population that they serve.

This study explores how native English speakers (NESs) are affected by the backgrounds of non-native English speakers (NNESs) when it comes to being comfortable interacting with then in English. Speech samples of 12 NNESs were gathered from the Level Achievement Tests conducted at Brigham Young University's English Language Center. There were six speakers who spoke Spanish as their first language (L1) and six speakers who spoke Chinese as their L1. In each L1 group, there were two Low proficiency speakers, two Mid proficiency speakers, and two High proficiency speakers. The speech samples were included in a Qualtrics survey which was completed by 122 American NES participants. The NES participants listened to each speech sample and rated their comfort level interacting with each NNES speaker in six different communication situations categorized as either formal or casual. The results were statistically analyzed in order to determine the effect of proficiency level, L1, and communication situation on NES comfort levels in NNES interactions. High proficiency speakers were rated significantly higher than Mid proficiency speakers which were in turn rated higher than Low proficiency speakers. Spanish L1 speakers were rated higher than Chinese L1 speakers. The more casual communication situations were ranked higher than the more formal communication situations. A statistical analysis of the interaction between proficiency level and L1 revealed that Spanish L1 speakers were strongly preferred at higher proficiency levels but Chinese L1 speakers were preferred at lower proficiency levels. These results suggest that Spanish L1 speakers have a greater need to be higher than Low proficiency while Chinese L1 speakers have a greater need to achieve High proficiency. NNESs who anticipate being in formal situations should also aim for High proficiency.

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Along with the growth of electricity demand and the penetration of intermittent renewable energy sources, electric power distribution networks will face more and more stress conditions, especially as electric vehicles (EVs) take a greater share in the personal automobile market. This may cause potential transformer overloads, feeder congestions, and undue circuit failures. Demand response (DR) is gaining attention as it can potentially relieve system stress conditions through load management. DR can possibly defer or avoid construction of large-scale power generation and transmission infrastructures by improving the electric utility load factor. This dissertation proposes to develop a planning tool for electric utilities that can provide an insight into the implementation of demand response at the end-user level. The proposed planning tool comprises control algorithms and a simulation platform that are designed to intelligently manage end-use loads to make the EV penetration transparent to an electric power distribution network. The proposed planning tool computes the demand response amount necessary at the circuit/substation level to alleviate the stress condition due to the penetration of EVs. Then, the demand response amount is allocated to the end-user as a basis for appliance scheduling and control. To accomplish the dissertation objective, electrical loads of both residential and commercial customers, as well as EV fleets, are modeled, validated, and aggregated with their control algorithms proposed at the appliance level. A multi-layer demand response model is developed that takes into account both concerns from utilities for load reduction and concerns from consumers for convenience and privacy. An analytic hierarchy process (AHP)-based approach is put forward taking into consideration opinions from all stakeholders in order to determine the priority and importance of various consumer groups. The proposed demand response strategy takes into consideration dynamic priorities of the load based on the consumers' real-time needs. Consumer comfort indices are introduced to measure the impact of demand response on consumers' life style. The proposed indices can provide electric utilities a better estimation of the customer acceptance of a DR program, and the capability of a distribution circuit to accommodate EV penetration. Research findings from this work indicate that the proposed demand response strategy can fulfill the task of peak demand reduction with different EV penetration levels while maintaining consumer comfort levels. The study shows that the higher number of EVs in the distribution circuit will result in the higher DR impacts on consumers' comfort. This indicates that when EV numbers exceed a certain threshold in an area, other measures besides demand response will have to be taken into account to tackle the peak demand growth. The proposed planning tool is expected to provide an insight into the implementation of demand response at the end-user level. It can be used to estimate demand response potentials and the benefit of implementing demand response at different DR penetration levels within a distribution circuit. The planning tool can be used by a utility to design proper incentives and encourage consumers to participate in DR programs. At the same time, the simulation results will give a better understanding of the DR impact on scheduling of electric appliances. / Ph. D.

Purpose – The contradiction of the increased demand for IT specialists and the decrease of the enrollment in programming courses at universities worldwide has been discussed over the years. To tackle the problem, researchers and teachers in computing education have investigated various success factors in introductory programming courses, mostly within the context of computer science. This paper focuses on the investigation of success factors for students that are not majoring in computer science (non-CS) in an introductory programming course, to report on the results of student's performance and analysis of the most relevant success factors, also provide suggestions that could be considered for the course design and teaching method.   Method – The methods used to carry out the study are a survey with 36 participants, conducted before the start of an introductory programming course, and qualitative interviews conducted with twelve students after the end of the course. The interviews were then analysed thematically to find common patterns for five success factors between the students with different grades. The success factors that were examined are math background, previous programming experience, comfort level, motivation and attribution to success.   Findings – Math background could not be proved as a success factor in this study due to the lack of a standardized assessment of the students’ math levels. Previous programming experience could be regarded as a success factor but not as dominant as the success factor motivation, which has shown clear patterns in the data. Comfort level could be seen as one of the success factors as well, as most of the data in this study support this conclusion. Lastly, attribution to success as a success factor could not be supported by this study; the qualitative data showed variety which makes it hard to draw a conclusion directly.   Implications – The study suggest increasing the motivation for the non-CS students in introductory programming by combining programming with other subjects in the programme. The lecturer could customize the course for students with different interests so they could select a path and adapt the knowledge to their needs. Bridging courses and various forms of mentoring are also recommended to offer.   Limitations – The time frame of the study limited the amount of data that could be collected. The study was conducted with students from only one university and one non-CS programme, with a small data sample for analysis, which is limiting in the way the results can be generalized.

The level of indoor comfort can highly be influenced by window opening and closing behavior of the occupant in an office building. It will not only affect the comfort level but also affects the energy consumption, if not properly managed. This occupant behavior is not easy to predict and control in conventional way. Nowadays, to call a system smart it must learn user behavior, as it gives valuable information to the controlling system. To make an efficient way of controlling a window, we propose RL (Reinforcement Learning) in our thesis which should be able to learn user behavior and maintain optimal indoor climate. This model free nature of RL gives the flexibility in developing an intelligent control system in a simpler way, compared to that of the conventional techniques. Data in our thesis is taken from an office building in Beijing. There has been implementation of Value-based Reinforcement learning before for controlling the window, but here in this thesis we are applying policy-based RL (REINFORCE algorithm) and also compare our results with value-based (Q-learning) and there by getting a better idea, which suits better for the task that we have in our hand and also to explore how they behave. Based on our work it is found that policy based RL provides a great trade-off in maintaining optimal indoor temperature and learning occupant’s behavior, which is important for a system to be called smart.

In the residential and commercial buildings, most of the energy is used to provide the thermal comfort environment to the occupants. The recent research towards Green Buildings is focusing on reduction of energy consumption by air-conditioners and fans used for producing the thermal comfort environment. The thermal comfort is defined as the condition of mind which expresses human satisfaction with the thermal environment. The human body is continuously producing metabolic heat and it should be maintained within the narrow range of core temperature. The heat generated inside the body should be lost to the environment to maintain the thermal equilibrium with each other. The heat loss from the body is taking place in different modes such as conduction, convection, radiation and evaporation through the skin and respiration. These heat losses are influenced by the environmental factors (air temperature, air velocity, relative humidity and mean radiant temperature), physiological factors (activity level, posture and sweat rate) and clothing factors (thermal insulation value, evaporative resistance and microenvironment volume). When the body is in thermally equilibrium with its surrounding environment, the heat production should be equal to heat loss to maintain the thermal comfort. The level of thermal comfort can be measured by the different indices which combine many parameters. Of these, the Fanger’s PMV (Predicted Mean Vote) – PPD (Percentage of People Dissatisfied) index was universally suggested by ASHRAE and ISO. The PMV – PPD index was derived based on the experiment conducted on acclimated European and American subjects. Many researchers have criticized that the PMV – PPD index is not valid for tropical regions and some researchers have well agreed with this index for the same region. The validation of PMV – PPD index for thermal comfort Indians has not yet been examined. The validation of PMV – PPD index can be done by the human heat balance experiment and the individual heat losses have to be calculated from the measured parameters. In the human heat balance, the convective heat transfer plays the major role when the air movement exists around the human body. The convective heat loss is dependent on the convective heat transfer coefficient which is the function of the driving force of the convection. Using Computational Fluid Dynamics techniques, an attempt has been made in this work to determine the convective heat transfer coefficient of the human body at standing posture in natural convection. The CFD technique has been used to analyze the heat and fluid flow around the human body as follows: The anthropometric digital human manikin was modeled in GAMBIT with a test room. This model was meshed by tetrahedral elements and exported to FLUENT software to perform the analysis. The simulation was done at different ambient temperatures (16 oC to 32 oC with increment of 2 oC). The Boussinesq approximation was used to simulate the natural convection and the Surface to Surface model was used to simulate the radiation. The surrounding wall temperature was assigned equal to the ambient temperature. The sum of convective and radiative heat losses calculated based on the ASHRAE model was set as heat flux from the manikin’s surface. From the simulation, the local skin temperatures have been taken, and the temperature and velocity distributions analyzed. The result shows that the skin temperature is increasing with an increase in ambient temperature and the thickness of the hydrodynamic and thermodynamic boundary layers is increasing with height of the manikin. From the Nusselt number analogy, the convective heat transfer coefficients of the individual manikin’s segments have been calculated and the relation with respect to the temperature differences has been derived by the regression analysis. The relation obtained for the convective heat transfer coefficient has been validated with previous experimental results cited in literature for the same conditions. The result shows that the present relation agrees well with the previous experimental relations. The characteristics of the human thermal plume have been studied and the velocity of this plume is found to increase with the ambient temperature. Using the Grashof number, the flow around the human manikin has been examined and it is observed to be laminar up to abdomen level and turbulent from shoulder level. In between these two levels, the flow is found to be in transition. The validation of PMV model for tropical countries, especially for Indians, was done by heat balance experiment on Indian subjects. The experiment was conducted on forty male subjects at different ambient temperatures in a closed room in which low air movement exists. The local skin temperature, relative humidity, air velocity and globe temperature were measured. The sensation vote was received from all the subjects at all the conditions. The convective heat loss was calculated from its coefficient obtained from the present computational simulation. The radiation heat loss was calculated for two cases: In case one, the mean radiant temperature was taken equal to the ambient temperature and in case two, the mean radiant temperature was calculated from the globe temperature. The other heat losses were calculated from the basic formulae and the relations given by ASHRAE based on Fanger’s assumption. From these calculations, the validity of the Fanger’s assumption was examined. The collected sensation votes and the calculated PMV were compared to validate the PMV – PPD index for Indians. The experimental results show that there was much variation in the calculated comfort level using the measured parameters and the Fanger’s assumption. For the case of mean radiant temperature equal to the ambient temperature for indoor condition, the comfort level was varying more than the actual. In addition, the calculated comfort level from the globe temperature agreed well with the comfort level from the collected sensation votes. So it was concluded that the ASHRAE model is valid for Indians if the radiation was measured exactly. Using the ASHRAE model, the required wall emissivity of the surrounding wall at different ambient temperatures was determined from the CFD simulation. In the ASHRAE model, the surrounding wall emissivity plays the major role in the radiative heat loss from the human body. Hence in recent years, research on low emissive wall paints is focused. The computational study was done to determine the required wall emissivity to obtain the thermal comfort of the occupant at low energy consumption. The simulation was done with the different ambient temperatures (16 oC to 40 oC with increment of 4 oC) with the different surrounding wall emissivity (0.0 to 1.0 with increment of 0.2). From this simulation, the change in mean skin temperature with respect to wall emissivity was obtained for all ambient temperature conditions. The required mean skin temperature for a particular activity level was compared with the simulation results and from that, the required wall emissivity at the different ambient conditions was determined. If the surrounding walls are having the required emissivity, it leads to decrease in heat/cold strain on the human body, and the thermal comfort can be obtained with low energy consumption.(please note that title in the CD is given as COMPUTATION OF REQUIRED WALL EMISSIVITY FOR LOW ENERGY CONSUMPTION IN BUILDINGS USING ASHRAE MODEL VALIDATED FOR INDIAN THERMAL COMFORT)

Examinations administered by the Royal Conservatory of Music (RCM) play a major role in the musical education of many individuals across Canada. The evaluative process needs to be a constructive one in order to ensure its positive impact on students’ musical education. Examiners who are confident and comfortable in their roles as assessors are more likely to provide this ideal environment for the students. Individuals at the dawn of their examining careers are prone to lower confidence and comfort levels due to their inexperience. Yet all music students deserve an optimal examination situation, even from new examiners. Ensuring that an examiner receives proper training will help to increase their confidence and comfort levels while assessing students. This study examined the elements of an examiner’s education, experience and preparation which contributed to higher confidence and comfort levels as they participated in the RCM evaluative process. Ten individuals participated in surveys and interviews. Seven were recent apprentices of the examiner training program and three were senior examiners. Their experiences and insights given in a narrative form shed light on which elements of their background and training benefited them as examiners. According to the participants, varied and extensive pedagogical training, taking exams as students and intensive performance education gave them the most advantages during their early careers as examiners. Regarding the examiner apprenticeship program, participants felt that they would have benefited from more practical experience during the early classroom seminar, additional opportunities to observe students at varying performing levels and more time for discussion with their mentors. These recommendations for background preparation and enhanced training are intended to give examiners greater confidence in their evaluative roles early in their careers, enabling them to provide constructive and effective assessments for students and their teachers.

Examinations administered by the Royal Conservatory of Music (RCM) play a major role in the musical education of many individuals across Canada. The evaluative process needs to be a constructive one in order to ensure its positive impact on students’ musical education. Examiners who are confident and comfortable in their roles as assessors are more likely to provide this ideal environment for the students. Individuals at the dawn of their examining careers are prone to lower confidence and comfort levels due to their inexperience. Yet all music students deserve an optimal examination situation, even from new examiners. Ensuring that an examiner receives proper training will help to increase their confidence and comfort levels while assessing students. This study examined the elements of an examiner’s education, experience and preparation which contributed to higher confidence and comfort levels as they participated in the RCM evaluative process. Ten individuals participated in surveys and interviews. Seven were recent apprentices of the examiner training program and three were senior examiners. Their experiences and insights given in a narrative form shed light on which elements of their background and training benefited them as examiners. According to the participants, varied and extensive pedagogical training, taking exams as students and intensive performance education gave them the most advantages during their early careers as examiners. Regarding the examiner apprenticeship program, participants felt that they would have benefited from more practical experience during the early classroom seminar, additional opportunities to observe students at varying performing levels and more time for discussion with their mentors. These recommendations for background preparation and enhanced training are intended to give examiners greater confidence in their evaluative roles early in their careers, enabling them to provide constructive and effective assessments for students and their teachers.