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Title: Technology News, April 14, 1948
Date: 1948-04-14, 1948-04-14
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, May 26, 1948
Date: 1948-05-26, 1948-05-26
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, November 05, 1948
Date: 1948-11-05, 1948-11-05
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, March 18, 1949
Date: 1949-03-18, 1949-03-18
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, March 25, 1949
Date: 1949-03-25, 1949-03-25
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, October 21, 1949
Date: 1949-10-21, 1949-10-21
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, December 16, 1949
Date: 1949-12-16, 1949-12-16
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, March 24, 1950
Date: 1950-03-24, 1950-03-24
Collection: Technology News Microfilm collection, 1928-1981

Title: Admiral Richard Byrd, Thomas Poulter, and the Snow Cruiser crew, 1939
Date: 1939
Description: Photograph of the Antarctic Snow Cruiser crew (Left to right: Sargent Felix Ferranto, Dr. F. Alton Wade, Admiral Richard E. Byrd, CPO Charls...
Show morePhotograph of the Antarctic Snow Cruiser crew (Left to right: Sargent Felix Ferranto, Dr. F. Alton Wade, Admiral Richard E. Byrd, CPO Charls Meyer, Dr. Thomas C. Poulter) in front of one of the Snow Cruiser's ten-foot-tall Goodyear tires. The Snow Cruiser was designed by Armor Research Foundation Scientific Director Thomas C. Poulter, constructed by ARF, and taken on Richard Byrd's third Antarctic expedition. This photograph originally appeared in the December 1939 issue of the Armor Engineer and Alumnus. Photographer unknown.
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Collection: Office of Communications and Marketing photographs, 1905-1999

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.
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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.
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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.
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Title: Technology News, January 22, 1946
Date: 1946-01-22, 1946-01-22
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, May 21, 1946
Date: 1946-05-21, 1946-05-21
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, May 28, 1946
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.
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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.
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Title: Technology News, December 11, 1945
Date: 1945-12-11, 1945-12-11
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, March 26, 1946
Date: 1946-03-26, 1946-03-26
Collection: Technology News Microfilm collection, 1928-1981

Title: Technology News, April 01, 1946
Date: 1946-04-01, 1946-04-01
Collection: Technology News Microfilm collection, 1928-1981

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