45 research outputs found
The Light We Give: Sikh Wisdom for Cultivating Empathy and Justice
No full textGrowing up in South Texas, Dr. Simran Jeet Singh and his brothers confronted racism daily. As a turbaned, bearded, brown-skinned Sikh, he continued to face prejudice and hate in college and beyond. Simran chose to be defined not by the negativity that often surrounded him but by the Sikh teachings of love and justice that he grew up with. Delving deep into these core tenets of Sikh wisdom, he has sought to embrace an outlook that guides us to see the good in everyone and to forge a path of positivity, connection, and service—a way of life that so many of us are seeking in today’s world.
We all say that we choose love over hate. But when tested, we realize that it’s easier said than done and that our empathy for others is not rooted deeply enough. As a turbaned and bearded Sikh man, Simran has been subjected to racism his whole life. He has been working on the frontlines of hate violence for more than a decade. And yet, he has managed to avoid falling into the toxic trap of hate and anger. In this lecture, drawing on his recent book The Light We Give, he will draw from his personal experiences and from hate incidents he has witnessed firsthand to share the wisdom he has gained on what it really takes to choose love over hate.
Simran Jeet Singh, Ph.D., is the Executive Director of the Religion & Society Program at the Aspen Institute and the author of the national bestseller The Light We Give: How Sikh Wisdom Can Transform Your Life (Riverhead, Penguin Random House). Simran\u27s thought leadership on bias, empathy, and justice extends across corporate, university, and government settings. He is an Atlantic Fellow for Racial Equity with Columbia University and the Nelson Mandela Foundation, a Soros Equality Fellow with the Open Society Foundations, a Visiting Lecturer at Union Seminary, and a Senior Advisor on Equity and Inclusion for YSC Consulting, part of Accenture.
Organized and hosted by the Interfaith Fellows Program of the Jay Phillips Center for Interreligious Studies at the University of St. Thomas and the Minnesota Multifaith Network in collaboration with the Lutheran Center for Faith, Values, and Community at St. Olaf College and the Interfaith Institute at Augsburg University. Cosponsored by Minnesota Multifaith Network, and the Office of Diversity, Equity and Inclusion, the College of Arts and Sciences, the Diversity Activities Board (DAB), and the Department of Theology at the University of St. Thomas. Funded, in part, by generous grants from the Arthur Vining Davis Foundations, the Jay and Rose Phillips Family Foundation of Minnesota, and the Center for Faculty Development at the University of St. Thomas
Keynote Address: The Light We Give: Sikh Wisdom for Cultivating Empathy and Justice
No full textGrowing up in South Texas, Dr. Simran Jeet Singh and his brothers confronted racism daily. As a turbaned, bearded, brown-skinned Sikh, he continued to face prejudice and hate in college and beyond. Simran chose to be defined not by the negativity that often surrounded him but by the Sikh teachings of love and justice that he grew up with. Delving deep into these core tenets of Sikh wisdom, he has sought to embrace an outlook that guides us to see the good in everyone and to forge a path of positivity, connection, and service—a way of life that so many of us are seeking in today’s world.
We all say that we choose love over hate. But when tested, we realize that it’s easier said than done and that our empathy for others is not rooted deeply enough. As a turbaned and bearded Sikh man, Simran has been subjected to racism his whole life. He has been working on the frontlines of hate violence for more than a decade. And yet, he has managed to avoid falling into the toxic trap of hate and anger. In this lecture, drawing on his recent book The Light We Give, he will draw from his personal experiences and from hate incidents he has witnessed firsthand to share the wisdom he has gained on what it really takes to choose love over hate.
Simran Jeet Singh, Ph.D., is the Executive Director of the Religion & Society Program at the Aspen Institute and the author of the national bestseller The Light We Give: How Sikh Wisdom Can Transform Your Life (Riverhead, Penguin Random House). Simran\u27s thought leadership on bias, empathy, and justice extends across corporate, university, and government settings. He is an Atlantic Fellow for Racial Equity with Columbia University and the Nelson Mandela Foundation, a Soros Equality Fellow with the Open Society Foundations, a Visiting Lecturer at Union Seminary, and a Senior Advisor on Equity and Inclusion for YSC Consulting, part of Accenture.
Organized and hosted by the Interfaith Fellows Program of the Jay Phillips Center for Interreligious Studies at the University of St. Thomas and the Minnesota Multifaith Network in collaboration with the Lutheran Center for Faith, Values, and Community at St. Olaf College and the Interfaith Institute at Augsburg University. Cosponsored by Minnesota Multifaith Network, and the Office of Diversity, Equity and Inclusion, the College of Arts and Sciences, and the Department of Theology at the University of St. Thomas. the , and in collaboration with the Office of Diversity, Equity and Inclusion at the University of St. Thomas. Funded, in part, by generous grants from the Arthur Vining Davis Foundations, the Jay and Rose Phillips Family Foundation of Minnesota, and the Center for Faculty Development at the University of St. Thomas
Enzymes assisted soymilk production and its nutritional survey
No full textM.Tech Biotechnology ThesisStandardization of mechanical soymilk extraction method vs enzyme assisted soymilk
extraction (cellulase of Trichoderma viride source and pectinase enzyme of source Rhizopus
spp. of Hi-Media at varied concentration, temperature and time combinations) method were
studied. Majorly, the effect of soaking time of soybean seeds and boiling methods variation on
the milk yield as well on the quality was focused. Two of the methods compared in the study,
resulted in exactly double milk yield from enzyme assisted soymilk extraction method
(cellulase enzyme was found substantial effective in milk extraction to that milk extraction
from pectinase enzyme) to the mechanical soymilk extraction method. Observations for
different quality tests for the cellulase enzyme assisted soymilk were pH (6.75), proteins
(56mg/ml), fat (12mg/ml), carbohydrates (5.9mg/ml), Solid not fat (SNF:2.1mg/ml), acidity
(0.35%), non-reducing sugars (20mg/ml), flavonoids (640mg/ml) and total soluble sugars
(5.5%) while for pectinase assisted soymilk observed with pH (6.82), proteins (45mg/ml), fat
(13mg/ml), carbohydrates (6.2mg/ml), Solid not fat (SNF:3.1mg/ml), acidity (0.30%), nonreducing
sugars (7mg/ml), flavonoids (610mg/ml) and total soluble sugars (5.0 %) and at last
the mechanical extracted soymilk had pH (7.2), proteins (26mg/ml), fat (14.2mg/ml),
carbohydrates (4.9mg/ml), Solid not fat (SNF:5.2mg/ml), acidity (0.36%), non-reducing
sugars (10mg/ml), flavonoids (590mg/ml) and total soluble sugars (6%). From the quality
analysis, the cellulase enzyme can be a boon to the soymilk production with higher percentage
of proteins, flavonoids with decreased fat, carbohydrates, SNF, acidity, total solids and pH.
Beside good nutrition, the enzyme assisted extracted soymilk showed higher sensory score in
taste, colour, texture, and flavor on a 9-point hedonic scale to that of mechanical soymilk
extraction method (the mean score of overall acceptance of each of formulation from
mechanical method (5.80), pectinase (4.87) and cellulase (7.47) showed the significant
difference within and between the groups with the F value of 45.793 along with homogeneity
of variance with a significant value of 0.557) and also cellulase enzyme assisted soymilk
extraction method has shown the significant results within and in between the groups with the
LSD value at 5 per cent were protein (0.9), fat(0.2), carbohydrates (0.1), acidity (0.1),
flavonoids (0.2), non reducing sugars (0.3) and SNF (0.3) where as mechanical and pectinase
enzyme assisted soymilk extraction method has shown non-significant results and also
cellulase assisted soymilk extraction method has shown significant positive correlation within
and between the quality factors where as the mechanical has shown non-significant
correlation within and between the quality factors. Thus, enzyme assisted extraction method
which has shown the positive results can be considered as a novel processing method for
soymilk extraction with enriched nutritional quality, double milk yield and less of by product
(OKARA). As a whole de-hulled soybean can be completely converted to milk.
A health survey on soymilk consumption has been done simultaneously along with
laboratory production to find out whether people like or prefer soymilk over the lacteal milk
or not at all in Jalandhar area. Various key points studied include to find individual
consumption of soymilk in percentage to study the awareness about soymilk and the factors
which has to be inherent part of marketing of soymilk. The survey was conducted in Jalandhar
city and in Thapar University, Patiala. We found that people are very much aware and prefer
soymilk as compare to other milk and we also found that age group (23-30) years, income
range of (10-50 thousand) and both the genders prefer soymilk. These factors could be
targeted in future to increase the sale of soymilk and also came to know about different factor
to be kept in mind and need improve to increase the marketing of soymilk.N.
Critical Anaylsis on the Effects of Triple Talaq, the Plight of Women, its Impact on the Society Muslim Community
No full textToday, the issues of women rights in muslim personal law is highly controversial. Specially, muslim women rights relating to triple talaq, inheritance, maintenance has got much attention nowadays. A muslim man can divorce his wife by prouncing three times talaq. When husband clearly mentions it is called as express talaq. After that husband and wife cannot be together back until wife marries someone else. The legal decisions are based on the norms mentioned in quaran therefore, certain anomalies need to be eradicated by giving true essence of holy quaran for the benefit of muslim women's right. There is three types of talaq namely, unlike other religion marriage is viewed as sacrament but, under, muslim law it is civil and social contract. Talaq ul sunnat sanctioned by prophet is sub divided into Talaq e ehsan, Talaq hasan, Talaq e biddat. The current debate on triple talaq, centred on the Sharaya Bano and several other petitions which considers no aspect of Islamic personal laws which amounts to violate the spirit of constitution. The whole triple talaq has become a battleground for the culture vs social debate. In this paper the author deals with the question of triple talaq in the light of the recent petition filed in the Supreme Court for declaring such talaq invalid. The author argues that there is an already existing legal precedent established by the apex court with respect triple talaq which should be followed instead of resorting in aggressive approach which may become dominant to muslim women themselves. This research paper analyze to attempt the on going implications on triple talaq, muslim personal law and solutions to empower muslim women. Simran Chhallani "Critical Anaylsis on the Effects of Triple Talaq, the Plight of Women, its Impact on the Society Muslim Community" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd16996.pd
PURIFICATION, CHARACTERIZATION AND CDNA CLONING OF PHOSPHOLIPASE A2 IN AUSTRELAPS SUPERBUS VENOM
No full textMaster'sMASTER OF SCIENC
Nonprofit Youth Engagement: A Normalized Industrial-Complex
No full textThe 'Disrupting the Talent Pipeline: Youth Engagement & The Nonprofit-Industrial Complex' curriculum is intended to serve as an accessible resource to community that can be practically applied. This resource seeks to highlight key aspects of the experiences of 'multiply-marginalized' youth/young people navigating the nonprofit-sector, and its relationship to the industrial-complex that it perpetuates. The curriculum is informed by lived experiences as well as existing literature - offering both core content and activities/additional resources to guide its application in various community contexts.Not peer reviewe
Race through the finish line with your customers: Customer Segmentation and Profiling of CredRev
No full textDuring a semester long research project, our research team analyzed the CRM of CredRev, an auto financing company based in Kelowna, BC with customers all over BC. Our research objectives were to perform customer segmentation and profiling for the chosen organization, promote greater CRM strategies with the use of customer databases, and increase the amount of customers for CredRev by further understanding their customer segments and profiles.This poster won the Vice-President, Students award (2020). Supervisor: Dr. David Dobson, School of Business
Identification of the most efficient algorithm to find Hamiltonian Path in practical conditions
No full textData Model for Computer Vision Explainability, Fairness, and Robustness
No full textIn recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study addresses this gap through a mixed-method approach, involving 20 semi-structured interviews with researchers and a comprehensive literature analysis.Through this investigation, we have identified a practical need for a data model that encompasses the essential information researchers require to enhance explainability, fairness, and robustness in Computer Vision applications. We developed a data model that holds the potential to improve transparency and reproducibility within this field, speed up the research process, and facilitate comprehensive evaluations, whether quantitative or qualitative, of proposed methodologies. To refine and demonstrate the practicality of the data model, we have populated it with four existing datasets. Additionally, we have conducted two user studies to validate the model's usability. We found that participants were enthusiastic about using the data model. Some potential uses described by the participants were comparing models and datasets, accessing (niche) datasets and models, creating and exploring datasets, and having access to ground truth explanations. However, participants also had concerns about the data model, mainly with its usability being restricted to people with database knowledge and the richness of data in the database. Nonetheless, hope that this research constitutes the first step for data modelling for researchers in the field of Trustworthy AI.https://github.com/delftcrowd/CV_datamodel Code on GithubComputer Science | Data Science and Technolog
Detecting Rhyming Words
No full textRhyming words are one of the most important features in poems. They add rhythm to a poem, and poets use this literary device to portray emotion and meaning to their readers. Thus, detecting rhyming words will aid in adding emotions and enhancing readability when generating poems. Previous studies have been done on the topic of poem generation. However, those works did not put too much emphasis on the rhyme detector. Thus, this research will solely focus on rhyme detection and its evaluation. The aim of this research is to determine the most accurate way of detecting whether two English words rhyme. English rhyming words will be detected using combinations of features. Five features are used: edit distance, hamming distance, jaccard similarity, longest common substring, and vowel and consonant weights. We also experiment with two methods of retrieving phonemes: using the entire phoneme translation, and using part of the phoneme translation. We find that using only hamming distance and jaccard similarity with part of the phoneme translation, we can already obtain an accuracy of 90.05% with a log loss of 0.25 when trained on a balanced dataset. The reason for this remains unclear because there is no clear separation between the two classes.CSE3000 Research ProjectComputer Science and Engineerin
