bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH PROMOSI TERHADAP KEPUTUSAN PEMBELIAN PADA PT. BOGA SEJAHTERA DI CIKARANG
Authors: Wulansari Retno
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh promosi terhadap keputusan pembelian pada PT. Boga Sejahtera di Cikarang. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 92 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini variabel promosi diperoleh nilai rata-rata skor sebesar 3,479 dengan kriteria baik. Variabel keputusan pembelian diperoleh nilai rata-rata skor sebesar 3,791 dengan kriteria baik. Promosi berpengaruh positif dan signifikan terhadap keputusan pembelian dengan nilai persamaan regresi Y = 11,791 + 0,751X, dan nilai koefisien korelasi 0,733 atau memiliki tingkat hubungan yang kuat dengan nilai determinasi 53,7%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
PENGARUH GAYA KEPEMIMPINAN TERHADAP KINERJA KARYAWAN PADA PT. TUNAS SAKTI DI DAAN MOGOT JAKARTA BARAT
Authors: Andayani Kemas Vivi
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh gaya kepemimpinan terhadap kinerja karyawan pada PT. Tunas Sakti di Daan Mogot Jakarta Barat. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 90 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini variabel gaya kepemimpinan diperoleh nilai rata-rata skor sebesar 3,478 dengan kriteria baik. Variabel kinerja karyawan diperoleh nilai rata-rata skor sebesar 3,788 dengan kriteria baik. Gaya kepemimpinan berpengaruh positif dan signifikan terhadap kinerja karyawan dengan nilai persamaan regresi Y = 11,9661 + 0,745X, dan nilai koefisien korelasi 0,728 atau memiliki tingkat hubungan yang kuat dengan nilai determinasi 53,0%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN KONSUMEN PADA INDOMARET CABANG PONDOK RANJI
Authors: Wulansari Retno
Published: May 2021

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas pelayanan terhadap kepuasan konsumen pada Indomaret Cabang Pondok Ranji. Metode yang digunakan adalah explanatory research dengan sampel sebanyak 87 responden. Teknik analisis menggunakan analisis statistik dengan pengujian regresi, korelasi, determinasi dan uji hipotesis. Hasil penelitian ini variabel kualitas pelayanan diperoleh nilai rata-rata skor sebesar 3,402 dengan kriteria baik. Variabel kepuasan konsumen diperoleh nilai rata-rata skor sebesar 3,801 dengan kriteria baik. Kualitas pelayanan berpengaruh positif dan signifikan terhadap kepuasan konsumen dengan nilai persamaan regresi Y = 10,482 + 0,809X, dan nilai koefisien korelasi 0,760 atau memiliki tingkat hubungan yang kuat dengan nilai determinasi 57,8%. Uji  hipotesis diperoleh signifikansi 0,000 < 0,05.
REVIEWING ISOLATION AND PRODUCTION OF PROBIOTICS
Authors: Ponnachan Blessy , Dash Neelotpala , Jaybhay Pratiksha , Tiwari Riya
Published: May 2021

This article is an examination of the isolation of probiotics The scientific development and subsequent “production of probiotics'' continues to influence the researchers all over the globe today. This article examines the research done and published by researchers and scientists. Consideration of current trends and data in scientific queries and demonstrates further aspects of isolation of microbes and probiotics. Additionally, this article explores options for microencapsulation, Bacteriocin production, Aquaculture Probiotics, Yeast production, Antioxidant Probiotic from squid production.

Keywords: Microencapsulation, Probiotics, Aquaculture Probiotics, Yeast Production, Isolation Probiotic
The Effects of National Academy of Sports Medicine and Sahrmann Training on Foot Pressure Distribution in Flexed Posture Students
Authors:   Department of Sport Injuries and Corrective Exercises, Faculty of Physical Education and Sport Sciences, Razi University, Kermanshah, Iran., Mohammad Jabbar1 Karim , Gandomi Farzaneh ,   Department of Sport Injuries and Corrective Exercises, Faculty of Physical Education and Sport Sciences, Razi University, Kermanshah, Iran.
Published: May 2021

Objectives: Flexed posture with Hyperkyphosis (HKP) and Forward Head Posture (FHP), due to changes in the spine alignment, lead to the displacement of the center of pressure and increased postural sways; ultimately, this condition disrupts the distribution of foot pressure. Therefore, the present study aimed to compare the effects of 8 weeks of National Academy of Sports Medicine (NASM) and Sharman training on Foot Pressure Distribution (FPD) in flexed posture students. Methods: In this double-blind randomized clinical trial, 30 students with HKP and FHP were randomly assigned in two groups of NASM and Sahrmann (n=15/group). The angle of HKP and FHP were evaluated by Spinal Mouse and Image J software. FPD was also assessed by a Payatek foot scaner (PT-scan) device. The obtained data were analyzed in SPSS using one-way Analysis of Covariance (ANCOVA). Results: The present research results suggested that both intervention groups presented significant differences in reducing the angle of HKP (P<0.001) and FHP (P<0.001), COP minor axis length (P<0.05), COP major axis length (P<0.001), COP path length (P<0.001), the standard deviation of internal-external sways (P<0.001), and standard deviation of anterior-posterior sways (P<0.001); however, t there was no significant difference concerning the COP area (P>0.05) and symmetry index between the two legs (P>0.05). Discussion: Both provided corrective exercises reduced HKP and FHP angles and reduced postural sways. However, Sahrmann intervention with adjusted muscle stiffness and reduced electromechanical latency was more effective than NASM exercises in improving postural control and foot pressure symmetry index.
Educando en crisis: estudio de las prácticas docentes para implementar los currículos para la emergencia
Authors: Merchan Naranjo Jose Daniel
Published: May 2021

Este artículo analiza cómo seis docentes fiscales ecuatorianas implementan los currículos para la emergencia. Se adopta una perspectiva teórica que conceptualiza a los educadores como Funcionarios Públicos del Nivel Operativo. Estos ejercen discrecionalidad, componente clave para comprender la implementación de una política pública. Se realizó un estudio de caso múltiple con seis docentes del régimen Costa. Se aplicaron entrevistas, encuestas, y observaciones en grupos de WhatsApp de las docentes. Los hallazgos muestran que las docentes reciben presión para evitar la deserción estudiantil. Esto las motiva a adaptar sus prácticas educativas, con base en caracterizaciones sobre los estudiantes, padres de familia y sus preferencias profesionales. Se identifican seis prácticas adaptativas, que responden a sus condiciones de trabajo.
Tool accessibility with path and motion planning for robotic drilling and riveting
Authors: Dakdouk David
Published: May 2021

Robotic applications in aerospace manufacturing and aircraft assembly today are limited. This is because most of the aircraft parts are relatively small or have complex shapes that make tasks like robotic drilling and riveting more challenging. These challenges include tool accessibility, path planning, and motion planning.
In this thesis, a process methodology was developed to overcome the tool accessibility challenges facing robotic drilling and riveting for aircraft parts. The tool accessibility was analyzed based on the Global Accessibility Area and the Global Accessibility Volume to determine the accessible boundaries for parts with zero, one and two surfaces curvatures. The path planning was optimized based on the shortest distance, least number of steps, and minimal tool orientation change. The motion planning was optimized based on the s-curve using the robot’s maximum velocity and acceleration for minimum cycle time and maximum production rate. A software application was developed to simulate the tasks.
The Contemporary Common: Reinvigorating the Public Realm through Enhancing Topophilic Relationships
Authors: Carey Daniel
Published: May 2021

Urban neighbourhoods are experiencing an increase in density, placing greater importance on a vibrant and invigorated public realm. By focusing on enhancing place-based relationships, the quality of public spaces can be rejuvenated, improving social relations while creating an enhanced sense of community.

The contemporary common is a multi-faceted public space that functions as a unifying platform for social inclusion, collective culture, and civic inculcation. This is accomplished through the use of topophilic design, a place-based design methodology that focuses on the creation of interventions that facilitate the definition of place.

These ideas are tested through the establishment of a community hub within St. James town. The common has the potential to revitalize the public realm, attempting to enable culturally-rich spaces. Creating this identity for Toronto's public parks can improve civic formation, ultimately establishing neighbourhoods resilient to the current carceral archipelago of Toronto's urban green spaces.
Development and implementation of the method for high resolution object tracking in 3D space
Authors: Hippolyte Spiros Jason
Published: May 2021

The means to track objects in 3D space is paramount to computer vision and robotics. Improving upon prior work of the M.A.R.S. project enabled more accurate object tracking and ranging, required investigation into current techniques of stereo depth estimation, object tracking algorithms and the use of FPGA platforms. The research focused on aviation, ground vehicle and robotic applications of stereo computer vision and image processing methods. The implementation of the project design focused on how to obtain greater disparity resolution from the stereo system while minimizing memory resources. The analysis of the optimal method and then the coding and debugging of the optimal solution was performed to insure inter-operability with the existing system and lay the foundation for further expansion of the system. Comparative analysis of Xilinx FPGA platforms and MATLAB simulation of the concept provided data on hardware resources, improved disparity output and the minimal use of memory.
"We're all friends here": how do early childhood educators promote friendship in the classroom?
Authors: Orchard Kimberly
Published: May 2021

This qualitative study set out to explore how five early childhood educators perceive and promote friendship in a toddler room, a preschool room, and a kindergarten room of an early learning center in Ontario, Canada. Semi-structured interviews were conducted to explore educator’s perceptions about friendship and their reported strategies for promoting friendship. Observations of each classroom explored educator’s strategies used to promote friendship in practice. New sociology of childhood and developmental theoretical frameworks were used to explore educator’s perceptions and strategies.
Educator’s perceptions about friendship were placed on a continuum ranging from perceptions that aligned with new sociology of childhood to developmental theory. The reported and observed strategies were categorized into active, reactive and passive strategies. Implications of these findings for practice, policy, and research were discussed.
Assessing the influence of environmental context on responses to noise exposure in the city of Toronto
Authors: Stevanova Desislava
Published: May 2021

This thesis examines individual and community noise perception of environmental noise in three neighbourhoods in the city of Toronto. The significance of this research is based on a relative absence of literature on how noise sensitivity and annoyance are affected by non-acoustic factors such as the built environment, demographic, and socio-economic factors. Data from a neighbourhood noise survey (n=552) were combined with spatial data on exposures to noise. Bivariate analysis, multivariate regression, and classification and regression tree (CART) analysis were used. The results showed that participants in Downtown and Don Valley have similar noise responses (64% and 67% high annoyance) despite differences in noise exposure (LAeq 24h: 66.8 and 59.3). Estimation of Community Tolerance Levels (CTL) confirmed that participants exposed to lower sound levels have a lower tolerance of noise. Further results showed that a neighbourhood with high socioeconomic status and access to green space, and relatively low night time noise levels were still two times more likely to report high annoyance, compared with neighbourhood with moderate socio-economic status and lower access to green space. The results suggest that environmental context influences expectations and sensitivity to noise.
Why We Fight : A Documentary Film
Authors: Bistonath Alyssa
Published: May 2021

Why We Fight is a love letter formed into a 17 minute documentary about Guyana, the birthplace of the parents of filmmaker Alyssa Bistonath. It is a land that embodies the values, stories, and memories that Bistonath attributes to her Caribbean identity. The film acts as an inquiry — what is the diaspora’s role and responsibility towards the country? The project juxtaposes a personal narration, with letters from the diaspora, and the lives of four individuals living in Guyana. Bistonath made Why We Fight, because she was concerned with how countries like Guyana are represented in the western media, and how that representation trickles into the identities of people of colour. The film seeks to strike a balance, bridging nostalgia with contemporary beauty — overwriting the colonial and tourist tropes with the lives of real people, addressing violence, and mending political cynicism with the person inquiry.
Services and programming provided by post-secondary institutions for international students: experiences of select female students from Nigeria
Authors: Badmos Mofiyinfoluwa
Published: May 2021

The number of international students in Canada has been increasing over the years, as the Canadian government and educational institutions have begun to acknowledge their economic and cultural benefits (Alboim, 2011). This study explores the services currently provided by post-secondary institutions in the Greater Toronto Area to international students. More specifically, it is a gender-based analysis, exploring the specific needs (and if and how they are met) of female international students from Nigeria. Data were gathered from in-depth audio-recorded interviews with eight female international students from Nigeria and two international student advisors working in post-secondary institutions in the GTA. Analyzing the interviews showed that there are unique needs of international students from Nigeria and gender should be taken into account when considering their needs. The study utilizes post-colonial feminist theory and intersectionality as frameworks. It is hoped that this research will contribute to a greater understanding of the unique experiences and needs of some female international students from Nigeria.

Key words: International Students, services, female, Canada, Nigeria
South Asian first-generation and second-generation family relationships
Authors: Deol Gaganpreet
Published: May 2021

The topic of this research is examining family dynamics and dual identity. The aim of the research was to analyze whether identity and social construction of ideologies influence family dynamics. It examined how social and internal factors affect a family, focusing on first-generation and second-generation families. This was a qualitative study examining first-generation and second-generation South Asian individuals. I interviewed the individuals using open-ended questions to examine the experiences of adult first-generation Canadians and second-generation Canadians. The study examined how their relationships are affected and influenced by external sources such as school, work, social circles and western ideologies. In conclusion, although themes were common among participants the experience of families and individuals are based on the unique and individualized family.
National Adaptation Plans: A Response to Climate-Induced Migration?
Authors: Vydelingum Emilia
Published: May 2021

This Major Research Paper examines the National Adaptation Plans of the Republic of the Maldives and Germany to determine if and how climate-induced migration is addressed. The paper examines how the receiving-migrant countries, and producing-migrant countries look at the forecasted issue from two different perspectives: securitization, and resiliency. In addition, this paper acknowledges that ad hoc temporary migration pathways have had success when dealing with environmental migration and determines that a formal change to the Convention Refugee definition is not necessary to address climate-induced migration.

Key words: Climate Change; Climate-induced Migration; Refugees; National Adaptation Plans
Identity, fashion and dress consumption by immigrants : a focus on ethnic dress and/or hijab
Authors: Akhigbe Omono Gladys
Published: May 2021

This study highlights and explores how Canada’s multicultural policy influences the relationship between fashion and identity of racialized diaspora communities in Canada. It focuses on traditional dress and/or the Hijab, a religious dress among diaspora communities in Canada. However, the study demonstrates that consumption of these items among immigrants varies, with some immigrant communities displaying stronger ethnic identity than others. The consumption of these goods shapes one’s ethnic or religious identity. The two theoretical approaches shed insights on the complex relationship between ethnic fashion/dress, religious dress and ethnic identity. The study concludes that although symbols of ethnic identity such as ethnic fashion and/or religious dress are increasingly being contested due to political ideology, they have served members of their respective diasporic communities quite well in that they have allowed them to display and celebrate their identity, and thus produce a particular theme of their identity within Canadian multiculturalism.

Key words: Fashion, ethnic dress/clothing, veil/religious dress, immigrants and diaspora.
Time-interleaved pulse-shrinking and all-digital time-to-digital converters
Authors: Park Young Jun
Published: May 2021

This dissertation deals with the design of sub-per-stage delay time-to-digital converters (TDCs). Two classes of TDCs namely pulse-shrinking TDCs and TDCs are investigated.
In pulse-shrinking TDCs, a two-step pulse-shrinking TDC consisting of a set of coarse and fine pulse-shrinking TDCs is proposed to increase a dynamic range without employing a large number of pulse-shrinking stages. A residual time extraction scheme capable of extracting the residual time of the coarse TDC is developed. The simulation / measurement results of the TDC implemented in an IBM 130 nm 1.2 V CMOS technology show that the TDC offers 1.4 ns conversion time, 1LSB DNL and INL, and consumes 0.163 pJ/step. To further improve the conversion time, a time-interleaved scheme is developed to extract the residual time of the coarse TDC and utilized in design of a two-step pulse-shrinking TDC. Residual time extraction is carried out in parallel with digitization of minimize latency. The simulation and measurement results of the TDC show that is offers 0.85 ns conversion time, 0.285 LSB DNL, and 0.78 LSB.
In TDCs, a 1-1 multi-stage noise shaping (MASH) TDC with a new differential cascode time integrator is proposed to suppress even-order harmonic tones and current mismatch-induced timing errors. Simulation results show that the proposed TDC offers 1.9 ps time resolution over 48-415 kHz signal band with consuming 5-2 uW. Finally , an all-digital first-order TDC utilizing a bi-directional gated delay line integrator is developed. Time integration is obtained via the accumulation of charge of the load capacitor of gated delay stages and the logic state of gated delay stages. The elimination of analog components allows the TDC to benefit fully from technology scaling. Simulation results show that the TDC offers firs-order noise-shaping, 10.8 ps time resolution while consuming 46 uW.
Abrasive Jet Micro-Machining of Polymeric Materials
Authors: Hailu Getu
Published: May 2021

In the abrasive jet micro-machining (AJM) process, a jet of small particles is directed through an erosion resistant mask opening so that micro-sized features (i.e., micro-channels, holes, etc.) can be machined for the fabrication of micro-devices such as micro-fluidic and micro-electro-mechanical-systems (MEMS). Polymeric materials and elastomers have found applications in a wide variety of micro-devices. This thesis investigates the AJM of such materials, addressing the major challenges that must be overcome in order for the process to gain wider acceptance in industry. The thesis first presents a novel cryogenically assisted abrasive jet micro-machining (CAJM) technique that enables the micro-machining of elastomers such as polydimethylsiloxane (PDMS) that cannot be machined at room temperature. It was found that the erosion rate during CAJM is greatly increased, and the degree of particle embedment greatly decreased, compared to room temperature experiments. A finite element (FE) analysis was used to investigate the relationships between erosion, the heat transfer of the cooling jet and the resulting target temperature during the CAJM of channels in PDMS. The analysis illustrated the asymmetric nature of the cooling with much more cooling occurring towards the trailing edge of the jet. It was found that the predicted shape of the evolving machined surface profiles was improved significantly when a FE model was used to account for thermal distortion occurring during the CAJM process.

An unwanted consequence of the AJM of polymeric materials was found to be particle embedding. Criteria leading to the embedding of spherical and angular particles in such materials were identified and modelled using rigid plastic analyses. It was found that the likelihood of embedding was proportional to the static coefficient of friction between the particle and the target for angular particles, and the depth of penetration for spherical particles.

Scanning electron microscopy with EDX was used to measure the area coverage of embedded Al2O3 particles in polymers and elastomers, in order to evaluate various cleaning methods that were developed. It was found that glass bead blasting at 45˚ followed by the freezing technique was the best method to remove embedded particles, leading to 100% removal in some cases.
Constructing the alcohol blackout; an (auto)ethnographic narrative collage.
Authors: Rechberger Justyna
Published: May 2021

Alcohol-induced amnesia, or "blacking out," is a common, persisting, yet understudied phenomenon in today's “extreme” drinking culture, with potentially serious consequences. The scholarly literature on blackouts is especially limited in addressing the aftermath of the state, in which fragments of experience are "pieced together" and negotiated through collectively constructed narratives. In the present paper, I challenge the traditional blackout narrative by moving beyond the experiential “what happened?” to address the phenomenological, discursive and hermeneutical. What is it like? How do we feel about it? How do we talk about it? And why do we continue to drink ourselves past the point of recollection? Inspired by creative and (auto)ethnographic modes of life-writing and research (Richardson, Ellis, Denzin), I asked myself these questions by interviewing twenty-three others. Following the notion that story-telling and autobiographical remembering are fundamental to knowing and “re-writing” experience, especially “the life of feeling,” the project explores the role of such narratives in maintaining “problematic” drinking habits. In creating a self-reflexive discourse around non-remembrance and in assembling personal stories with existing research, art and theory in an accessible format, the project constructs and embodies the blackout experience, commenting on the ways in which it is written and talked about.
Constructing the alcohol blackout an (auto)ethnographic narrative collage.
Authors: Rechberger Justyna
Published: May 2021

"This is for all those who wake up the following morning asking themselves questions like 'How did I get
home?' 'Where am I?' 'Where did I get this bruise?' 'Where are my clothes?' 'Who is next to me?' 'Why
am I in jail?' or simply 'WHAT HAPPENED LAST NIGHT?'( ... ) This is for all those people who need
half a dozen of your closest friends (who usually blacked out with you) to piece the full night's events
together and even then, some things are just lost forever. But it's ok, if you don't remember, it doesn't
count ... right? ("Sometimes I blackout,"n.d.)"--Introduction.
Modern Shibori: beyond handcrafted tradition
Authors: MacQuarrie Erin L.
Published: May 2021

Through practice-led research entitled Modern Shibori: Beyond Handcrafted Tradition, I explore the contemporary relevance of shibori – an ancient Japanese resist-dye method – in the context of present day Canada. The research employs a hybrid cultural products framework to aid in the contextualization and analysis of a series of artworks, intended to disseminate concepts related to craft culture and sustainability. The aim of Modern Shibori is to blur the perceived line between craft and fine art and to help encourage continued practice of the ancient textile technique. The outcome of the project is a cohesive body of contemporary work that is explorative, yet pays homage to traditional shibori, and uses materials with low environmental impact.
Pixel preservation : observations on the current collecting and preservation practices of cultural heritage institutions regarding born digital photographic materials
Authors: Creem Siobhan
Published: May 2021

The role of born digital photographic materials in the collections of cultural heritage institutions is growing, as are concerns about preserving these images for the future. In order to ensure the longevity of these materials, there are many complex issues that need to be considered before museums, libraries, archives, and other cultural collecting institutions acquire born digital photographic materials in significant quantities. There are many components involved in making appropriate decisions for any particular institution. This thesis project will address some of the issues that should be tackled before collecting born digital photographic materials, and it will also share some thoughts about what selected institutions are doing currently in regard to collecting and preserving born again digital photographic materials. There also will be suggested guidelines for institutions to consider when starting to study the acquisition process, as well as resources to contemplate before and after undertaking any acquisition process of born digital photographic materials.
Examining emotion discrimination in 7-month-old infants and adults using fast periodic visual stimulation (FPVS)
Authors: Marquis Alexandra Rose
Published: May 2021

The ability to discriminate facial expressions of emotion is important for human communication and interaction. When this ability develops is largely unknown, with the origins believed to lie in infancy. Behavioural and brain-based evidence suggests that infants are capable of differentiating positive and negative facial expressions (i.e., sad vs. happy, surprised vs. angry), however there is little research examining whether infants can make more fine-grained discriminations among negative facial expressions (e.g., fearful vs. angry). In the present paper, two experiments use a novel technique known as Fast Periodic Visual Stimulation (FPVS) to assess discrimination of facial expressions by adults (n = 33) and 7-month-old infants (n = 33). Adults discriminated facial expressions, but 7-month-old infants did not. Reasons why infants did not show a discrimination response are explored and the potential benefits of FPVS are discussed.
The case for graphic counter-memorials in the comics of Joe Sacco, Art Spiegelman, and Brian Wood and Riccardo Burchielli
Authors: Winterstein Brooke
Published: May 2021

My dissertation considers a group of contemporary comics about war by Joe Sacco,
Art Spiegelman, and Brian Wood and Riccardo Burchielli, as examples of a larger genre I
call the graphic counter-memorial. Graphic counter-memorial comics address history,
memory, and trauma as they depict the political, violent, and collective aspects of war and
social conflict. I argue that the particular comics I study in this dissertation, which mingle
fiction and non-fiction and autobiography as well as journalism, follow the tradition of the
counter-monuments described by James E. Young. Studying commemorative practices and
counter-monuments in the 1980s, Young notes a generation of German artists who resist
traditional forms of memorialization by upending the traditional monument structure in
monument form. Young looks at the methods, aims, and aesthetics these artists use to
investigate and problematize practices that establish singular historical narratives. Like
these works of public art, the graphic counter-memorial asks the reader to question ‘official
history,’ authenticity, and the objectivity typically associated with non-fiction and
reporting. I argue that what these comics offer is an opportunity to re-examine comics that
incorporate real and familiar social and historical events and wars.

Comics allow creators to visually and textually overlap perspectives and time.
Graphic counter-memorials harness the comic medium’s potential to refuse fixed
narratives of history by emphasizing a sense of incompleteness in their representation of
trauma, memory, and war. This makes possible a more complex and rich way to engage
with Western society’s relationship to the past, and in particular, a more complex way of
engaging with collective memory and war. Their modes of mediating history produce
political intervention through both form and content.
Cannabis Personalization: Curating Personalized Cannabis Experiences Through Machine Learning
Authors: Ho JuliaB
Published: May 2021

With the recent legalization of cannabis in Canada on October 17, 2018, the opportunity for emerging tech to complement and improve the cannabis experience is vast. The legalization of an industry that has been operating in the dark for decades means ample newfound opportunity for government and corporate-funded collaboration, development and research. A specific area of opportunity for growth within the cannabis sector is through personalization. Personalization is often performed via artificial intelligence—specifically machine learning—to develop a customized experience for users on various platforms. This is usually with the intention of targeted marketing. And while mass data collection serves the user by streamlining content to their assumed preferences, which then often directs them to businesses and products, product-tailoring still has vast potential for growth. Though a medical document for cannabis from a health practitioner may include broadband components to look out for, like “THC” and “CBD”, or even suggest ratios of those cannabinoids there is typically no specification on strain type and best consumption methods.
Because the effects that cannabis has on a user varies from individual to individual and is dependent on not only their biometrics, but the various other terpenes and cannabinoids that exist in each strain beyond THC and CBD, cannabis users are missing out on opportunities to make the most of their use. Especially for those interested in cannabis to relieve specific symptoms, testing the vast amount of strains that exist and being able to identify the ideal product would be an arduous task on one’s own.
Jibed is an app that would use the aggregation of user data to prescribe the most suitable strain of cannabis for that individual based on their specific conditions and body metrics. As the majority of the target audience (cannabis users in Canada) are already logged on to a multitude of data collecting apps (music, health, social, etc.), there is no shortage of data. The app would consider all the implications of the data, from one’s health to mood deduced from the music they're listening to -- just to name some -- in order to achieve optimal prescriptions.
One year later: the employment experiences of Syrian refugees in the greater Toronto area
Authors: Khabra Sonia
Published: May 2021

This qualitative study explores the employment experiences of Syrian refugees one year after their arrival in Canada through a segmented labour market and different forms of capital framework. Ten Syrian refugees and 3 key informants were interviewed to explore Syrian refugees’ barriers to employment, support channels, employment
outcomes, and future career goals in Canada. The findings of this study show that insufficient English skills, lack of Canadian work experience, poor mental health, and a limited understanding of the Canadian labour market are the greatest challenges these Syrian refugees encountered accessing the labour market. Privately sponsored refugees
were more likely to be employed than government-assisted refugees. Overall, Syrian refugees are in need of greater support from the government to help promote successful economic integration.

Keywords: Syrian refugees, employment outcomes, privately sponsored refugees, government assisted refugees, segmented labour market, forms of capital
Energy efficient house using ground source heat pump: mathematical model of thermal imbalance of soil around the ground loop
Authors: Islam Md. Shahidul
Published: May 2021

Energy efficient house using ground source heat pump: mathematical model of thermal imbalance of soil around the ground loop
Unmapping the Mini-Mental State Exam (MMSE)
Authors: Machado Marina Michelle
Published: May 2021

This study is a critical discourse analysis of the Mini-Mental State Exam (MMSE), an assessment tool used to screen older adults for cognitive impairment worldwide. In it, I deconstruct and unmap two unofficial versions of the MMSE to reveal how its discursive practices are grounded in ageism, ableism, sanism, and other forms of oppression. I challenge the MMSE’s status as a neutral container for knowledge by uncovering how it actively defines “cognitive impairment” and “cognitively impaired” identity formation through epistemic violence. I discuss five key issues: consent, scoring, claims-making, voice, and copyright. Lastly, I reflect on how hegemonic discourses about “dementia” keep older adults and people with cognitive impairments in their social place while maintaining the multi-billion dollar “care” industry. This study highlights how social workers are implicated in injustices against older adults that are often hidden. I hope it will be the impetus for transformative change in this field.

Keywords: Mini-Mental State Exam, short cognitive test, discourse analysis, unmapping, cognitive impairment, older adults, gerontology, anti-oppressive practice
Analysis of Characteristics of the Zinc Oxide Material in Nanoscale
Authors: Kelam Shreeja
Published: May 2021

This project involves the examination and analysis of the characteristics of zinc oxide material using different software’s like Image J, GATAN, SPECTRAGRYPH and Origin to examine the properties in the detailed literature research after concluding the characteristics. The different microscopy techniques were used to conduct the experiments like FESEM, HRTEM, SAED, FTIR and XPS by a Ph.D. student Rupa Haldavnekar. This project involves the investigation of the results obtained from those experiments on the material zinc oxide. The project also involves detailed study after exploring the features of the material and comparing it with the existing industry demands in the case of properties of materials. The main focus was on the Aerospace market requirements. Therefore, the better ideas were derived through literature review to manufacture the zinc oxide material with the better quality and properties as required by industry than the existing ones.
Fault detection and accommodation of a thermal-type flow sensor in an aircraft bleed air system
Authors: Day Christopher
Published: May 2021

A fault in the primary mass flow sensor of an aircraft engine bleed air system can cause significant deterioration of overall system performance. This project uses an analytical model of the bleed air system to create a fault detection and accommodation scheme for the mass flow sensor. The analytical model uses information from the upstream and downstream pressure sensors to predict the output of the mass flow sensor. Faults are detected by comparing the output from the sensor with the predicted output from the analytical model. A fuzzy logic rule base is used to determine the degree of the flow sensor fault. The degree of the sensor fault is used to determine the inaccuracy of the faulty sensor output. A corrected estimation of the flow rate is then created using a weighted algorithm consisting of the predicted flow rate from the analytical model and the flow rate from the faulty sensor. The analytical model is also used to detect and accommodate transient responses from the flow sensor including signal overshoot, oscillations and time constant errors. A MATLAB computer simulation is conducted to evaluate the performance of the bleed air system degrades slightly in the event of a fault of the flow sensor. While the sensor fault will degrade the performance of the bleed air system, the degradation is not significant, and the bleed air system is able to maintain acceptable performance in the presence of faults.
Identity matching in social media platforms
Authors: Soltani Reza
Published: May 2021

Identity matching is the process of mapping profile information from disparate data sources to one single entity; this is a crucial task for many businesses and governments. Introduction of Web 2.0 and the ever increasing number of social media platforms has led to an explosive amount of user participation and collaboration on web. An ordinary user has more than one social media profile, each of which has a unique set of properties and features. This thesis proposes a framework that uses syntactic and semantic based identity matching approaches among Facebook, Linkedin and Twitter user profiles. The framework accomplishes this task by collecting available profile data and performing analysis and comparison using a set of methodologies. These methods consist of weighted string matching techniques, Google Maps, YouTube and NLP web APIs. Extracted Profiles with a similarity score above a pre-computed threshold value are considered a match.
The Application Of Living Walls For Acoustic Comfort
Authors: Bahour Magdaleen H
Published: May 2021

Interior space comfort encompasses design performance criteria beyond the thermal qualities of the space. The acoustic performance has shown to be an essential factor for the productivity levels of the users of the space, and is essential for overall indoor environment quality to be maintained. This research focuses on the potential of integrating living walls within indoor spaces, such as atriums and halls, to provide a passive strategy for noise insulation. The procedure is conducted through a series of acoustic measurements and calculations to determine the sound absorption coefficient of living walls in-situ. A case study space is used to evaluate the integration of living walls to provide acoustic comfort.
Person perception across group boundaries: a dynamic model of perception across race and gender lines
Authors: Xie Sally Yan-Jun
Published: May 2021

People form impressions of others from their faces, inferring character traits (e.g., friendly) along two broad, influential dimensions: Warmth and Competence. Although these two dimensions are presumed to be independent, research has yet to examine the generalizability of this model to cross-group impressions, despite extant evidence that Warmth and Competence are not independent for outgroup targets. This thesis explores this possibility by testing models of person perception for own-group and other-group perceptions, implementing confirmatory factor analysis in a structural equation modeling framework, and analyzing the underlying trait space using representational similarity analysis. I fit 402,473 ratings of 873 unique faces from 5,040 participants on 14 trait impressions to own-group and other-group models, exploring whether perceptions across race and gender are more unidimensional. Results indicate that current models of face perception fit poorly and are not universal as presumed: the space of trait impressions varies depending on targets’ race and gender.

Keywords: person perception, impression formation, face perception, intergroup processes, social cognition
Hiding in Plain Sight : Sentiment Analysis and the Efficient Market Hypothesis
Authors: Litwin David
Published: May 2021

The stock market is a notoriously complex and unpredictable system, and because of this has always been an alluring subject for academic research seeking to make the unpredictable more predictable. This major research project is no different as it aims to quantify the predictive value of financial sentiment, determine which sentiments are most meaningful, when they are most meaningful, and if meaningful sentiment varies depending on type of stock. To pursue these goals, the project finds its theoretical footing in Eugene Fama’s Efficient Market Hypothesis and Daniel Kahneman’s Prospect Theory. However, the methodological component of this project enters into emerging territory as it employs sentiment analysis and machine learning, which have only recently been made possible by advances in technology and communications practices. Specifically, through the use of the Loughran-McDonald dictionary for financial sentiment, corporate press releases were analyzed and tested using a Random Forest machine learning model. The results from this project show that financial senitiment found in press releases does provide a slight predictive edge, however the sentiments responsible for that edge vary based on type of stock, type of fluctuation being predicted, and timeframe.
Development of a composite intramedullary nail for treating femoral shaft fractures
Authors: Samiezadeh Saeid
Published: May 2021

Intramedullary nails are the primary choice for treating long bone fractures. However, the high axial rigidity of conventional nails, can significantly reduce compression at the fracture site, and thereby inhibit bone healing. It can also lead to subsequent bone loss upon fracture healing. Fibrereinforced composites have been suggested as an alternative material of choice in the design of fracture fixation implants to address these drawbacks. There are very few studies in the literature on the use of composite materials for intramedullary nails. In particular, there are no known studies which have considered the optimization of such implants to fulfill the requirements of a proper
fracture healing. The purpose of the current thesis is to develop a composite intramedullary nail made of carbon-fibre/epoxy whose structure is optimized to provide a preferred mechanical environment for fracture healing. The thickness and stacking sequence of the composite tube were optimized using closed-form expressions for structural rigidities of a composite tube to minimize axial rigidity of the structure, while minimally sacrificing the bending and torsional rigidities. The actual performance of the best nail candidates inside the human femur was then examined in an experimentally validated finite element model.
It was found that a composite nail with an outer diameter of 14 mm and a stacking sequence of [0 / -45 / 45 / -45 / 0 / -45 / 45 / -45 / 45 / -45 / 90 ] showed an overall superiority compared to the other configurations. The expressions for rigidity yielded an axial rigidity of 3.7MN , and bending and torsional rigidities of 70.3 and 70.9 2 N.m , respectively, which correlated well with the results of mechanical testing on the manufactured specimens (i.e. 3.74±0.05 MN, 66.9±1.0 2 N.m , and 70.7±2.0 2 N.m for axial, bending, and torsional rigidities, respectively). The
manufactured composite specimens showed high strength in tension (403.9±7.8 MPa), compression (316.9±10.9 MPa), bending (405.3±8.1 MPa), and torsion (328.5±7.3 MPa).
Moreover, a fatigue limit of 27 kN was obtained for the composite nail. The stiffness of the composite nail was found to remain almost constant versus the number of cycles. Overall, the findings of this thesis suggest that the proposed intramedullary nail is a potential candidate for use as an alternative to the conventional intramedullary nails.
Modeling Multi-Site Computation Offloading in Unreliable Cloud Environments
Authors: Ranjbar Pirbasti Marzieh
Published: May 2021

Offloading heavy computations from a mobile device to cloud servers can reduce the power consumption of the mobile device and improve the response time of mobile applications. However, the gains of offloading can be significantly affected by failures of cloud servers and network links. In this thesis, we propose a fault-aware, multi-site computation offloading model capable of finding efficient allocations of tasks to resources. Our model reduces both response time and energy consumption by incorporating the effect of failures and recovery mechanisms for various offloading allocations. In addition, we create a fault-injection framework to evaluate an allocation under various failure rates and recovery mechanisms. The experiments carried out with our fault-injection framework demonstrate that our fault-aware model can determine an allocation—based on the type of failures, failure rates, and the employed recovery mechanisms—that improves both response time and lower energy consumption compared to model without failures.
Domination number within on-line social networks
Authors: Lozier Marc
Published: May 2021

There is particular interest in on-line social networks (OSNs) and capturing their properties. The memoryless geometric protean (MGEO-P) model provably simulated many OSN properties. We investigated dominating sets in OSNs and their models. The domination numbers were computed using two algorithms, DS-DC and DS-RAI, for MGEO-P samples and Facebook data, known as the Facebook 100 graphs. We establish sub-linear bounds on the domination numbers for the Facebook 100 graphs, and show that these bounds correlate well with bounds in graphs simulated by MGEO-P.
A new model is introduced known as the Distance MGEO-P (DMGEO-P) model. This model incorporates geometric distance to inuence the probability that two nodes are adjacent. Domination number upper bounds were
found to be well-correlated with the Facebook 100 graph.
Investigating the Effect of Changing Ratios and Flowrates on Photovoltaic Thermal and Evacuated Tube Collector Array Performance for Different Building Types
Authors: Weger Hannah
Published: May 2021

Photovoltaic thermal and/or evacuated tube collectors on building roofs can be effectively used to reduce fossil fuel use for heating and reliance on the electrical grid. To evaluate the potential of this reduction, a set of models were created for rooftop photovoltaic thermal and evacuated tube collector energy production, both thermal and electricity, and tested using a series of potential layouts. Five collector area ratios, two layout options, and three working fluid flowrates were investigated using five reference buildings as case studies. From these case studies it was determined that in Toronto’s climate, the exclusive use of photovoltaic thermal collectors produces the most total energy, while using only evacuated tube collectors maximally offsets
greenhouse gasses. The results suggest that district heating would be highly effective to reduce the carbon footprint of city cores like the Toronto 2030 District.