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Midwest Filipino American Students and their Perceptions on Depression
No full textThe purpose of this thesis is to determine the prevalence of depression in the Filipino American student community within the Midwest. According to Jung et al. (2020), Asian Americans generally attach stigmas to mental illness and show disapproval towards seeking treatment. This statement highlights Asian American’s unawareness towards the significance of mental illness. This thesis will delve into the views of Filipino American students on the topic of depression in their personal lives. Surveys will be distributed electronically to members of the Midwest Association of Filipino Americans (MAFA). Through this survey, participants’ responses were analyzed to determine whether they agree or disagree that depression is a prominent issue in their culture, and verify if depression is a problem within the Filipino American student community. The acquired data showed a significant prevalence of depression within this community and can further help improve patient education, assist nurses in providing optimal care for Filipino American students, and aid in addressing the significance of depression and its detrimental effects to psychological health
ANALYZING EFFECTS OF OSIRIS GENE ON DROSOPHILA DEVELOPING TRACHEAL TUBE FORMATION
No full textThis project focuses on specific genes that help with transcription and regulation of
transcription and translation of proteins involved in the development of the tracheal tubes and
tube morphogenesis. Our research performs tests on Drosophila melanogaster because they are
considered a model organism that will develop similar to humans in regard to tubular organs.
The tracheal system delivers oxygen to all of the cells in the body, and Drosophila
melanogaster’s are excellent model organisms to study this tube development process. Previous
research has revealed the mechanisms of the early steps of tube formation, including the
specification of branch identities and the migration of tracheal cells in stereotypical directions to
form distinct tubes. After formation of a continuous tube, the tube expands in both diameter and
length to form a liquid-filled trachea lumen. Thereafter, luminal material needs to be cleared and
followed by air filling. The mechanisms of tube morphogenesis in this organism are highly
conserved, meaning they are consistent steps in order to produce to final fully mature trachea. It
also represents a very simple structure in comparison to other organisms. It can easily be studied
for its phenotypic effects because of straightforward and easy to understand anatomy. We are focusing on the phenotypical tube formation differences between a negative
control group and combination knockout groups of specific genes within the Osiris gene family,
a family of genes seen within the Drosophila and other insects.
The basis behind the research is to look at tube morphogenesis and apical clearing, which
is the development of epithelial tubes in order to allow for the tracheal system to form. These
tubes can form in many different ways, but one of the things they have in common is how the
apical epithelial surface always lines the lumen. Multiple things play a role in tube
morphogenesis including vesicle fusion, secretion, and apical and luminal clearing to allow for
air filling in the tubes. Our prediction for the role of the Osiris gene family genes is that they play
an important role in the development of the tracheal system and also tube morphogenesis as the
larvae develops
The Oakland Post 2022-01-26
No full textTitans Fall: Golden Grizzlies women dominate in game against Detroit Mercy ; Allegations Denied: University responds to accusations of bad-faith bargaining ; Difference Makers: Pontiac clinic, OU students help provide healthcare to those in need ; Back on Top: Men’s basketball tied for lead spot in the Horizon League ; Career Services and student orgs host ‘Portfolio Palooza’ ; ‘Into the Classroom’ event gives insight into teacher experience ; OU ISSO hosts international student conference ; Pawley Lean Institute partners with Lean Learning Center ; Health and Medicine organization seeks to inform students ; Society of Women Engineers are closing the gender gap ; Oath Keepers charged in connection with Jan. 6 insurrection ; OU students showcase talent at Kennedy Center Festival ; World-renowned Harlem Globetrotters perform at O’rena ; Pontiac clinic provides free healthcare to people in need ; Police Files: 1/26/22, Assault and Battery ; Enbridge Line 5 pipeline, a threat below the surface ; ‘Shadow and Bone’ season two casting announcement ; Ring the ‘Belle’: Studio Chizu delivers animated classic ; ‘The Tragedy of Macbeth:’ Joel Coen’s Shakespearean nightmare ; 10 movie releases that I’m looking forward to in 2022 ; Netflix’s new stop-motion film ‘The House’ is trending ; Here’s how Oakland men’s basketball can win the Horizon League ; Women’s basketball battles back to sweep Metro Series ; Kendrick Nunn to be honored by men’s basketball program ; Swimming and Diving wins 23 golds in route of Wayne State ; Men’s basketball suffers first conference loss to Milwaukee ; Oakland defeats Green Bay, back in first place in Horizon League ; Women’s basketball back in the win column against Detroit Merc
Intelligent Performance, Architecture Analysis, Functional Safety Metrics of Automated Steering Systems for Autonomous Vehicles
No full textThe increasing complexities and functionalities of the electrical and/or electronic (E/E) systems in present day automobiles, make it challenging for original equipment manufacturers (OEMs) and suppliers to ensure a high level of safety in the automotive critical safety systems. The steering systems represent a standard functionality on every vehicle to control the direction of the vehicle literally and provide more stability for the vehicle motion. High automated vehicles require intelligent steering systems in which more Advanced Driver Assistance Systems (ADAS) applications are linked together such as cameras, radars, Lidars, and global positioning system (GPS). These integrated systems and applications are required for environmental perception, communications, data fusion, planning, prediction, decision making, and actuation processes all in real-time. Therefore, hardware (HW) and software (SW) solutions are developed and implemented in compliance with ISO 26262 standard, Road Vehicles – Functional Safety. Due to the lack of the steering systems published information and the crucial role of the steering associated with complex functionalities challenges, this dissertation provides a case study of how the steering systems of different automated driving levels can be complied with ISO 26262 given the emerging challenges imposed by the electric vehicle curb weight, increasing trend for the near future. The analysis focused on the safety lifecycle of the E/E components of the steering systems to ensure high availability of the steering systems and avoid any sudden loss of assistance (SLOA). Various safety mechanisms were evaluated and analyzed to improve the functional safety of the steering systems architecture and logic control paths. Based on the proposed controllability metrics performed in this dissertation, it was found that the hazard or malfunction of the steering systems shifted from the Automotive Safety Integrity Level (ASIL) B to ASIL C, the second most critical safety level. To comply with the ISO 26262 and to mitigate the residual risks of E/E systems failure, several solutions proposed in the concept for compliance with the standard such as redundant HW or SW in the controller path. The controllability classes or categories of the high automated vehicles based on the vehicle global position related to the lane marker lines were investigated and redefined to accommodate for the machine or system in the loop controlling the dynamic driving task (DDT) in autonomous vehicle maneuvering. A new wheel offset marker concept was introduced when the vehicle is approaching the lane marker lines. Also, it was found that the are human factors challenges in SAE level 4 and 5 and the interaction between the driver and the automated control systems of the vehicle that require human machine interface (HMI) modalities. The driver – automated control system engagement in the steering system of the vehicles is one of the crucial control complex scenarios that add uncertainties and potential risks when handing over the steering control between the driver and-or the automated control system with the allotted time. This study highlights the need to define the driver intervention in high-automated vehicle of SAE level 4 and 5 in order to sustain the traffic safety and keep the vehicle in the intended trajectory or path. This can be addressed by deploying HMI and the human factor implementation in ISO 26262 to standardize the driver-machine relation with the DDT in real time and interactive environment. Both manual and automated driving modes demand the functional safety implementation of the steering system to mitigate any system malfunction or failure.An artificial neural network (ANN) model was developed to predict the steering torque commands and steering wheel angle (SWA) based on the steering system dataset and vehicle’s parameters. ANN model was developed using Neural Network Training (nntraintool) toolbox of MATLAB to evaluate the intelligent steering system performance. The trained ANN model delivered a regression value of ~ 98.5 % versus the measured SWA. The results showed that the ANN was effective in predicting the steering wheel angle patterns based on the input dataset, considering the non-linearity and complexity of the steering system control. This finding helps to improve the functional safety of autonomous vehicles and introduce the concept of intelligent steering systems for path and trajectory planning. Therefore, ANN should be implemented as an abstraction layer in the control module and deployed in the control and actuation processes to support sensor data fusion and support the prediction and pattern recognition
A Meta-Heuristic Algorithm Based on Modified Global Firefly Optimization: In Supply Chain Networks with Demand Uncertainty
No full textNowadays, many challenges affect global supply chain networks including disruptions, delays, and failures during shipment of products. These challenges also incur penalty costs due to customers’ unmet demands and failures in supply. In this dissertation, the model was developed as a multi-objective supply chain network under two risk factors including failure in supply and unmet demand based on three different scenarios. The objective of scenario I was to minimize the total expected transportation costs between stages for each supply chain and penalty costs associated with shortage of products. Supply chain with no failure in supply will communicate with supply chain with failure to deliver its product to the final customer. For scenario II, the objective was to maximize the profits of the supply chain that face extra inventory. This supply chain with surplus products will collaborate with supply chains with shortage of products to prevent any undesirable costs associated with extra inventory. The objective of scenario III was to develop a multi-objective function, which maximizes the profit and minimizes the total costs associated with production, holding, and penalties due to supplier failure of raw materials. Once a supply chain faces failure in supply of raw materials, other supply chains with no supply failure will collaborate to prevent any associated costs. This research investigates the applicability of the Modified Firefly Algorithm for a multi-stage supply chain network consisting of suppliers, manufacturers, storages, and markets under risks of failure. Commercial software cannot obtain the optimal results for these problems considered in this research. To achieve better findings, we applied a Modified Firefly Algorithm to solve the problem. Two case studies for a pipe and a steel manufacturing integrated supply chain demonstrated the efficiency of the model and the solutions obtained by the Firefly Algorithm. We used four optimization algorithms in ModeFRONTIER and MATLAB software to test the efficiency of the proposed algorithm. The results revealed that when compared with other four optimization algorithms, Firefly Algorithm can help achieve maximum profits and minimizing the total expected costs of supply chain networks
The Oakland Post 2022-05-18
No full textHappy 60th: Kresge Library celebrates its 60th anniversary with rededication event ; Fairways and Greens: Women’s golf Horizon League champs participated in NCAA regionals ; Night at the Opera: School of Music, Theatre, and Dance presented a reimagined ‘Acis Galatea’ ; Letter from the editor: We challenge you to challenge us ; Center for Multicultural Initiatives welcomes new CORE Coordinator ; OCC students can transfer more credits for graphic design degree programs at OU ; Introducing new Gender and Sexuality Center coordinator Blake Bonkowski ; A deeper look at OU’s integrative studies major ; Twin Peaks opens near OU, campus opinions differ ; Course Spotlight: Histology ; Bioinformatics – the connection between Molecular Biology and reality ; Kresge Library celebrates 60th anniversary with dedication ; School of Music, Theatre and Dance presents ‘Acis and Galatea’ ; My summer romantic comedy top book choices ; The Pin Up Girls: A heartwarming love note to our Veterans ; RomCom“Along for the Ride” is lacking cowboys ; All the details on the upcoming series ‘The Summer I Turned Pretty’ ; Taking the Joe out of TV show ‘Impractical Jokers’ ; Detroit Lions finally have effective general manager ; Amalia Shahzan leads Oakland to Horizon League championship ; Baseball brings it together going into Horizon League Championships ; Softball Team closes season with pair of Horizon League Championships ; Thin, white and young: The culture of exclusion of Abercrombie & Fitch ; Thoughts on Roe v. Wade in danger of being overturne