41 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
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
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
Role of magnetic resonance imaging in spinal trauma
No full textBackground: Magnetic resonance imaging (MRI) is the modality of choice for evaluation of ligamentous and other spinal cord, soft tissue structures, disc, and occult osseous injuries. Objective evaluate the role of MRI as a non-invasive diagnostic tool in patient with spinal trauma.Methods: This study was conducted in department of radiodiagnosis, Sri Aurobindo institute of medical sciences and PG institute, Indore and approval from the ethical and research committee. The duration of this study was April 2018 to May 2020. We included 60 patients of spinal trauma referred for MRI in this study.Results: In 32 (53.3%) patients the mode of injury was road traffic accidents, in 23 (38.3%) patients it was fall and in 5 (8.3%) patients the mode of injury was any other mode. There was significant difference seen between the MR cord hemorrhage, cord compression, and code transaction.Conclusions: MRI is an excellent modality for imaging of acute spinal trauma. Normal cord on baseline MRI predicts excellent outcome. When comparing patients with complete, incomplete spinal cord injury (SCI) and spine trauma without SCI, significant difference was seen in cord hemorrhage, cord transection, cord compression
Access the diagnostic reliability and imaging evaluation of adnexal masses diagnosis ultrasonography, magnetic resonance imaging and computed tomography
No full textBackground: Objective of the study was to evaluate role of diagnostic reliability of morphological characteristic of ovarian and adnexal masses to compare and correlated in sensitivity of ultrasonography, computed tomography, magnetic resonance imaging (USG with CT and MRI).Methods: This study was conducted in department of radiodiagnosis, Sri Aurobindo medical college and PG institute, Indore from August 2019 to September 2020. A total of 100 OPD patients of adnexal masses including both premenopausal and postmenopausal women. All 100 patients had undergone sonographic assessment and CA-125 levels were assessed; where 70 patients were correlated with CT and 30 patients were correlated with MRI with a standardized research protocolResults: A total of 100 patients included in the study. The mean age was 42.05±2.3. 68 (68%) patients were Premenopausal and 32 (32%) patients post-menopausal. 19 (19%) of patients had family history of ovarian carcinoma, whereas 81 (81%) of patients had negative family history of ovarian carcinoma. 32 (47%) patients in premenopausal group had increased Ca-125 levels, whereas 18 (56.2%) patients in postmenopausal had increased Ca-125 levels.Conclusions: MRI proved to be highly sensitive and accurate in differentiating benign and malignant lesions of adnexal masses which were indeterminate on ultrasonography examination. Thus, MRI can be considered as second most confirmatory tool followed by tissue diagnosis in women with indeterminate masses.
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
Data 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
The incidence of type 2 diabetes in patients presenting for bariatric metabolic surgery at a tertiary bariatric surgery centre in India
No full textBackground: In recent years, there has been a marked change in life-style of developing countries caused by economic growth, affluence, urbanization and dietary westernization. Few studies on the prevalence of obesity with diabetes in the Indian population have been reported. Therefore, this study was planned to estimate the prevalence of type 2 diabetes (T2D) in patients presenting for at a tertiary bariatric surgery centre in India.Methods: In this retrospective study, authors estimated the prevalence of T2D by analyzing the hospital-based data, who were came for bariatric surgery at tertiary bariatric surgery centre in India from January 2010 to June 2018.Results: From the hospital-based data of eight years the incidence of T2D was found 24% of the Indian population in series, who came for bariatric metabolic surgery (BMS). There was slight male preponderance in incidence of T2D based on gender. The higher incidence of T2D was found mostly in 45-60 years age group in both the male and female patients. Incidence of T2D in class of obesity was 4.3% of class I, 18.6% of class II and 77.1% in class III. The incidence of hypertension was seen 41.8% and co-prevalence of both obstructive sleep apnea syndrome and hypertension was 16.2%.Conclusions: Age and higher BMI are strongly and independently associated with the risk of being diagnosed with T2D. The association of BMI class on the risk of T2D is stronger for people with a higher BMI relative to people with a lower BMI
