Search results
(8,041 - 8,060 of 9,450)
Pages
- Title
- Technology News, November 05, 1948
- Creator
- Illinois Institute of Technology
- Date
- 1948-11-05, 1948-11-05
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, March 18, 1949
- Creator
- Illinois Institute of Technology
- Date
- 1949-03-18, 1949-03-18
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, March 25, 1949
- Creator
- Illinois Institute of Technology
- Date
- 1949-03-25, 1949-03-25
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, October 21, 1949
- Creator
- Illinois Institute of Technology
- Date
- 1949-10-21, 1949-10-21
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, December 16, 1949
- Creator
- Illinois Institute of Technology
- Date
- 1949-12-16, 1949-12-16
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, March 24, 1950
- Creator
- Illinois Institute of Technology
- Date
- 1950-03-24, 1950-03-24
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Making A Hot, Arid, Desert Arab City More Livable: Investigating the Role of Street Design in Enhancing Walkability in Riyadh, Saudi Arabia
- Creator
- Almahdy, Omar Esam
- Date
- 2020
- Description
-
Since the introduction of automobiles in the 1950s, cities in Saudi Arabia have evolved around an automobile infrastructure. Riyadh, the...
Show moreSince the introduction of automobiles in the 1950s, cities in Saudi Arabia have evolved around an automobile infrastructure. Riyadh, the capital city of Saudi Arabia with a population of over 7.2 million, is facing an urban mobility challenge. For most inhabitants, driving is the only transportation available, since there is not yet an efficient public transit system. Currently, contemporary urban streets in Riyadh are limited to automobiles and inaccessible to pedestrians. Creating a walkable environment and improving walkability could solve numerous problems like the obesity crisis, the lack of city vibrancy, traffic congestion, environmental injustice, and social isolation. In this research, I investigate the climatic, geographic, social, and cultural factors that influence walkability in Riyadh as a hot, arid, and desert Arab city. The study uses mixed methods that include structured streetscape observations and pedestrian activity mapping as well as surveys and interviews with Riyadh’s citizens. Also, more data were collected through interviews with experts in Saudi urban planning and development. The issue of walkability in Riyadh extends beyond the design of the built environment. Many non-physical barriers hinder people from walking. Again, the perception of the streets as thoroughfares for automobiles only has deepened the problem. However, the lack of adequate sidewalks on most streets is the main reason why people do not walk. Also, this lack is a critical indicator of the dearth of efficient and proper urban design. The harsh climatic conditions along with the occasional sandstorms as well as polluted ambient air make the walking experience uncomfortable most of the year. To sum up, this study indicates that people’s awareness of the value and importance of having walkable streets and minimizing the reliance on motorized transport modes is a key driver in creating a pedestrian-friendly street.
Show less
- Title
- A Randomized Controlled Trial of Direct-to-Consumer Advertising of Cognitive-Behavior Therapy for Depression
- Creator
- Antler, Caroline
- Date
- 2020
- Description
-
Almost half of individuals in the US struggling with depression never seek treatment and, of those that do, over half receive inadequate care....
Show moreAlmost half of individuals in the US struggling with depression never seek treatment and, of those that do, over half receive inadequate care. Although the efficacy of CBT for MDD is well established, the rate of individuals receiving psychotherapy has declined. With copious evidence supporting the effectiveness of direct-to-consumer advertising (DTCA) of pharmaceuticals, the current study evaluated the potential utility of DTCA of CBT for MDD.One hundred seventy-eight adults with (a) prior exposure to DTCA for antidepressants and (b) no mental health diagnoses or treatment were randomly assigned to view one of three video conditions: CBT for depression (CBT, n = 60), CBT plus information on antidepressants (CBT+MED, n = 58), or Control (arthritis and diabetes Public Service Announcements (PSAs); n = 60). After viewing the video participants completed measures of attitudes about, and willingness to engage in, CBT and antidepressant medication. The study was conducted online with participants being recruited through Prolific and the survey created via Qualtrics.Compared to controls, participants viewing CBT DTCA videos (with or without information on antidepressants) were more willing to engage in CBT, had less public and self-stigma associated with CBT, and believed CBT has less potential for harm. Compared to the CBT group, the CBT+MED group reported greater concern about the risks of disclosing personal information in a therapy setting.These results extend previous findings by applying the DTCA marketing style to a specific diagnosis and type of therapy. Findings indicate that DTCA-style ads for CBT for MDD can be effective in reducing stigma and increasing treatment willingness. They further suggest that DTCA-style marketing of evidence-based psychotherapies can be efficacious when created for specific treatments and disorders. The findings have substantial implications for public health and the dissemination of evidence-based practice.
Show less
- Title
- Exploring Growth After Vision Loss
- Creator
- BANGLE, MELISSA
- Date
- 2020
- Description
-
Despite recent advances in our knowledge of positive growth following the onset of chronic illness or disability, little to no effort has been...
Show moreDespite recent advances in our knowledge of positive growth following the onset of chronic illness or disability, little to no effort has been made to understand how the phenomenon of growth might be experienced by individuals who are blind or visually impaired. This not only limits our understanding of how growth is experienced, but also our understanding of the experiences associated with vision loss. This qualitative study explores the perspectives and experiences of growth held by 35 adults with acquired disability due to severe vision impairment and blindness. Additionally, participants discussed their views on how growth can be experienced within the context of adjusting to vision loss. Results indicate that some individuals do experience positive psychological growth after vision loss which can lead to positive changes in one’s life. They also demonstrate that the structure of growth after vision loss shares some similarities with existing growth models like the model for Post Traumatic Growth. Results also suggest that growth may be an outcome of becoming well-adjusted to vision loss; although, the nature of the transition from adjustment to growth remains less clear. Specific factors that may facilitate growth are explored and implications for facilitation of successful adjustment and growth in the context of vision rehabilitation are discussed.
Show less
- Title
- A Complete Machine Learning Approach for Predicting Lithium-Ion Cell Combustion
- Creator
- Almagro Yravedra, Fernando
- Date
- 2020
- Description
-
The object of the herein thesis work document is to develop a functional predictive model, able to predict the combustion of a US18650 Sony...
Show moreThe object of the herein thesis work document is to develop a functional predictive model, able to predict the combustion of a US18650 Sony Lithium-Ion cell given its current and previous states. In order to build the model, a realistic electro-thermal model of the cell under study is developed in Matlab Simulink, being used to recreate the cell's behavior under a set of real operating conditions. The data generated by the electro-thermal model is used to train a recurrent neural network, which returns the chance of future combustion of the US18650 Sony Lithium-Ion cell. Independently obtained data is used to test and validate the developed recurrent neural network using advanced metrics.
Show less
- Title
- Correlating Veterans' Employment Status by Analysis of Recovery from the Recovery Assessment Scale-Short Form
- Creator
- Avezuela-Perez, Margaret
- Date
- 2020
- Description
-
Past research has examined the low employment rates in veterans with serious mental illness (SMI) (Zivin et al., 2011) and the research...
Show morePast research has examined the low employment rates in veterans with serious mental illness (SMI) (Zivin et al., 2011) and the research suggests that the benefits of employment for veterans are improved mental health symptoms, better finances, and better self-esteem (Bond et al., 2001). The specific relationship between employment and recovery from SMI in individuals has been examined (Drake et al., 2001; Bond et al., 2001; Modini et al., 2016). Previous research has not examined the correlation between recovery from SMI and employment, specifically in a population of veterans with SMI. The current study examines the relationship between recovery and employment of veterans with SMI, using the Recovery Assessment Scale (RAS) as a measure of recovery. A logistic regression analysis yielded that no relationship was found between recovery and employment status. Results of this study suggest there may be other factors affecting the relationship between these two factors. Moreover, there is the possibility that there is no relationship between recovery and employment.
Show less
- Title
- Is emotion regulation a mediator between parenting skills and treatment outcome in Parent-Child Interaction Therapy?
- Creator
- Butler, Kristina
- Date
- 2020
- Description
-
Disruptive behavior disorders are prevalent in preschool children and are associated with a range of negative developmental sequelae. There is...
Show moreDisruptive behavior disorders are prevalent in preschool children and are associated with a range of negative developmental sequelae. There is extensive evidence that Parent-Child Interaction Therapy (PCIT) is an effective behavioral parent training program for decreasing disruptive behaviors in young children. However, the mechanism that accounts for the reduction in externalizing behaviors in PCIT is not well understood. Children’s emotion regulation (ER) is one possible mechanism that accounts for treatment effectiveness. Parenting skills focused on in PCIT serve to increase warmth in caregiver-child interactions, which, in turn, lead to increases in children’s ER skills. ER also has been shown to moderate externalizing behaviors in PCIT. However, to date, there are no longitudinal studies that have examined ER as a mediator in PCIT. The aim of this study was to determine if child ER serves as a mediator between changes in parenting skills and decreases in externalizing behavior problems after PCIT treatment. A diverse sample of 67 children and their mothers participated in PCIT treatment in a community mental health center. All variables were assessed twice, at baseline and after treatment. Positive parenting skills (“Do Skills”) and negative ones (“Don’t Skills”) were assessed during a video recorded 5-minute task using the Dyadic Parent-Child Interaction Coding System. Child ER was assessed during a video recorded 5-minute clean-up task with a behavioral coding scheme adapted from previous research. Child behavior problems were measured using the Child Behavior Checklist Externalizing Scale. Difference scores used in the final analyses were calculated by subtracting the baseline score from the final assessment score for each measure.Results of linear regression analyses revealed a significant, negative relation between changes in ER and externalizing behavior problems. Findings did not support ER as a partial mediator between parenting skills and child externalizing problems. However, moderation analyses indicated that change in ER moderated the relation between change in positive parenting skills (Do Skills) and change in behavior problems, such that the interaction was significant for greater changes in ER. Specifically, increases in Do Skills led to less improvement in disruptive behaviors in children whose ER skills decreased. Also, increases in Do Skills led to greater reductions in behavior problems in children whose ER skills showed greater improvement. This study provides evidence that change in ER moderates changes in Do Skills and change in externalizing problems in PCIT. Findings also suggest that adding strategies to PCIT that focus on increasing child ER may enhance effectiveness of this treatment.
Show less
- Title
- HUMAN TRAFFICKING AND THE INTERNET: EDUCATING OUR COMMUNITY OF THE GROWING PANDEMIC
- Creator
- Ali, Md
- Date
- 2020
- Description
-
Human trafficking is a growing pandemic with many traffickers utilizing both the surface web and dark web to recruit and sell victims of human...
Show moreHuman trafficking is a growing pandemic with many traffickers utilizing both the surface web and dark web to recruit and sell victims of human trafficking. We will explore different cases regarding human trafficking as well as how traffickers are uti- lizing technology to conduct their criminal activities. We will be going over different research studies that went over new social engineering methods that technology has introduced into the world of human trafficking and coming to a statistical analysis on preventive measures to be aware of. With increasing advancements in encryption methods and communication the ease of this crime has been committed from one’s own bedroom. This thesis will be answering the question on how to minimize or remedy this atrocious criminal activity from society by analyzing all the recommendations from each study and finding possible solutions to avoid being a victim of human trafficking.
Show less
- Title
- Applying Statistical Methods to Air Quality and Asthma Data in Chicago Homes
- Creator
- Abromitis, Kari
- Date
- 2020
- Description
-
This thesis investigates one years’ worth of indoor and outdoor air pollution data collected from Chicago area homes in relation to results...
Show moreThis thesis investigates one years’ worth of indoor and outdoor air pollution data collected from Chicago area homes in relation to results from monthly asthma surveys taken by the residents of those homes. This examination involves the processing and calibration of this large dataset, basic statistical analysis, and analysis of asthma as related to variation of air pollution and air pollution resulting from nearby transportation sources. The data was collected as a part of the Breathe Easy project, which was funded by the HUD and involved IIT and Elevate Energy, a Chicago-based economic development organization that promotes building equality through climate action. The majority of the data processing and analysis were performed using Python and it is intended for continued use during the ongoing Breathe Easy project. The basic statistical analysis of this data led to initial investigations of how the variability of pollutants on a daily basis triggered asthma severity and symptoms. There were limited relationships observed between asthma symptoms and pollutant variability, and it was found to not be as important as overall pollutant levels. A second investigation was pursued to examine how the proximity to transportation, including Metra trains, freight trains, elevated rail trains, highways, bus lines, and busy roads, affected indoor and outdoor pollution levels at each home, as well as concurrent asthma outcomes. Similar to previous research, there was some relation for transportation closeness, particularly for highways and Metra trains, and pollution emitted that effects the health of nearby residents. In addition, homes that had greater air infiltration (via envelope airtightness measurements) had elevated levels of particulate matter – the pollutant most associated with transportation proximity. This thesis provides a basis for further investigations in this ongoing project and for similar asthma and air quality relationship studies.
Show less
- Title
- Technology News, January 22, 1946
- Creator
- Illinois Institute of Technology
- Date
- 1946-01-22, 1946-01-22
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, May 21, 1946
- Creator
- Illinois Institute of Technology
- Date
- 1946-05-21, 1946-05-21
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- Technology News, May 28, 1946
- Creator
- Illinois Institute of Technology
- Date
- 1946-05-28, 1946-05-28
- Collection
- Technology News Microfilm collection, 1928-1981
- Title
- PREPARE2THRIVE: A COMMUNITY-BASED PARTICIPATORY RESEARCH PILOT INTERVENTION
- Creator
- Guy, Arryn Aleia
- Date
- 2020
- Description
-
African Americans living with HIV and serious mental illness (AALWH and SMI) experience multi-level barriers to treatment engagement including...
Show moreAfrican Americans living with HIV and serious mental illness (AALWH and SMI) experience multi-level barriers to treatment engagement including structural discrimination, HIV and SMI stigma, medical mistrust, and poor patient-provider relationships. Personal resources such as HIV treatment self-efficacy and active coping are identified in the extant literature as buffers to barriers to treatment engagement, and may be mechanisms by which individuals living with HIV engage effectively with treatment. Using Community-Based Participatory Research (CBPR) the current study piloted a culture-specific, group-level psychoeducational intervention to improve treatment engagement among AALWH and SMI (N = 16). Overall, acceptability for intervention was high (M(SD) = 33.18(5.66) [range 6-42]). Inferential statistics indicate significant increases in CD4+ counts; HIV treatment self-efficacy, perseverance; psychological appointment attendance; and instrumental support seeking. Additionally, there was a statistically significant decrease in medical appointment attendance and self-distraction coping. An increase in ART engagement, and a decrease in viral load were also observed, however these results were not statistically significant. The peer-led intervention was highly accepted by participants. Participants demonstrated increases in HIV treatment self-efficacy, psychological appointment attendance, and CD4+ counts following completion of the intervention; however, had worse medical appointment attendance. The author highlights the clinical significance of the findings here. Taken together, results support mixed outcomes for the CBPR-developed and peer-led intervention.
Show less
- Title
- VERSATILE AND DYNAMIC INCENTIVE-BASED WELLNESS PROGRAM
- Creator
- Janik, Raymond George
- Date
- 2020
- Description
-
Rising healthcare spending is prompting companies to implement health promotion programs for their employees to reduce health cost. Several...
Show moreRising healthcare spending is prompting companies to implement health promotion programs for their employees to reduce health cost. Several studies have indicated that workplace health promotion programs do not always improve employee wellbeing or reduce company healthcare cost. Focus on short-term financial results rather than long-term employee health behavior and ineffective use of incentives have been blamed for this failure.The main goal of this research is to introduce a wellness program and incentive plan with focus on changing long-term employee health behavior so it would lead to sustainable improvement in productivity and reduction in healthcare cost. The proposed program includes multiple yearly wellness follow up events, along with wellness and fitness data collection questionnaires for timely feedback and diversified outcome-based incentives. Regression models are developed to provide estimates of biometric data that are critical to performance feedback and for estimating healthcare cost savings.The proposed wellness program is currently being tested at a 700-employee lighting company in southeast united states. The healthcare cost models estimate a return on investment of $1.8 for every dollar spent on the program.
Show less
- Title
- Distributed Resource Management for Wireless Networks Over Unlicensed Spectrum
- Creator
- Han, Mengqi
- Date
- 2020
- Description
-
In the past decades, a variety of wireless networks have been deployed, e.g., long term evolution (LTE) cellular networks, wireless local...
Show moreIn the past decades, a variety of wireless networks have been deployed, e.g., long term evolution (LTE) cellular networks, wireless local network networks (WLANs), cloud radio access network (C-RANs), wireless metropolitan area networks (WMANs), wireless body area networks (WBANs) and etc.To meet the exponential growth of traffic demands and improve the network throughput, different enhancement in the MAC protocols have been proposed for the emerging networks. For example, U-LTE (Unlicensed LTE) is proposed for LTE users to aggregate the spacious unlicensed spectrum with the licensed spectrum to boost the network throughput. Meanwhile, Wi-Fi users are allowed to opportunistically bond available channels for high data rate transmissions to improve the spectrum efficiency and network throughput. But the performance of the emerging networks with the new techniques has not been well investigated. Thus, in this thesis, we comprehensively investigate the network performance in different network scenarios. In each scenario, we first develop mathematical models to identify the performance bottlenecks in the existing MAC protocols. We then propose an algorithm to intelligently tune the protocol parameters to maximize network performance. Finally, the proposed algorithm is compared with some existing algorithms. Specifically, in the first scenario, we evaluate the coexistence performance between the Wi-Fi users with channel bonding capability and the legacy users without channel bonding capability. Specifically, the channel bonding probability and the channel access delay of wireless users are first analyzed, considering the contentions among legacy and multi-channel users in the same channel and across multiple channels. Based on the analysis, the network capacity, i.e., the maximum number of traffic flows that can be supported with the bounded delay performance in a multi-channel Wi-Fi with and without channel bonding, is then derived. Based on the analytical results, we propose a heuristic bonding policythat can provide important guidelines to control the number of flows to satisfy the QoS requirement and achieve the maximum network capacity. In addition, we propose an efficient probabilistic channel aggregation scheme to maximize the network throughput under the quality of service constraints for multi-channel users with channel aggregation capability. A Proximal Policy Optimization (PPO) based approach is further applied to intelligently tune the aggregating probabilities of secondary channels to maximize the network throughput.In the second scenario, we consider that U-LTE users are coexisting with the legacy users without channel bonding capability in the same unlicensed spectrum. The throughput of both Wi-Fi and U-LTE users are both derived when U-LTE users adopting two Load Based Equipment(LBE) random access protocols and Category 4 (Cat 4) algorithm agreed in 3GPP release 13.Based on the analysis, we find that the current protocols of U-LTE users are far from perfect to achieve harmony coexistence. Subject to the system fairness constraint, the aggregate throughput of U-LTE and Wi-Fi networks is maximized based on a semi branch and bound algorithm. To make the complex optimization tractable, reinforcement learning techniques are introduced to intelligently tune the contention window size for both U-LTE and Wi-Fi users. Specifically, a cooperative learning algorithm is developed assuming that the information between different systems is exchangeable. A non-cooperative version is subsequently developed to remove the previous assumption for better practicability. Extensive simulations are conducted to demonstrate the performance of the proposed learning algorithms in contrast to the analytical upper bound under various conditions. It is shown that both proposed learning algorithms can significantly improve the total throughput performance while satisfying the fairness constraints.Finally, by considering the energy constraints, we consider an IoT network where IoT devices use adaptive p-persistent ALOHA for data transmissions. In an IoT network with energy harvesting, an IoT device can contend for channel access only when it is ready, i.e., it has data for transmission and it harvests enough energy for communications. Due to stochastic energy harvesting and random access, the number of ready devices in the network may vary. As such, an analytical framework is first developed using a discrete Markov model to analyze the average number of ready devices. Next, an optimization problem is formulated to maximize the system throughput by adapting the transmission probability p of IoT devices. Given that the wireless environment is unknown at different IoT devices, e.g., the total number of contending devices, data arrival rates of other IoT devices, a multi-agent reinforcement learning algorithm is introduced for each device to autonomously tune the transmission probability in a distributed manner. In addition, game theory is applied to design the reward function to ensure an equilibrium and to closely approach the optimal parameter setting. Numerical results show that the proposed learning algorithm can greatly improve the throughput performance comparing with other algorithms.
Show less