STEM Fellowship Journal最新文献_第2页

Fair Housing: A Blueprint for Equity in Life: Proceedings from the 2022-2023 High School Big Data ChallengeUnder the patronage of Canadian Commission for UNESCO 公平住房:生活公平的蓝图:2022-2023年高中大数据挑战的会议记录由联合国教科文组织加拿大委员会赞助

STEM Fellowship Journal Pub Date : 2023-04-05 DOI: 10.17975/sfj-2023-002

{"title":"Fair Housing: A Blueprint for Equity in Life: Proceedings from the 2022-2023 High School Big Data ChallengeUnder the patronage of Canadian Commission for UNESCO","authors":"","doi":"10.17975/sfj-2023-002","DOIUrl":"https://doi.org/10.17975/sfj-2023-002","url":null,"abstract":"In the STEM Fellowship High School Big Data Challenge, students have the opportunity to engage in independent research projects and acquire fundamental data science skills – an essential skill set for a young researcher in the digital age. The program is inquiry-driven and experiential. This year, we invited students to explore issues of Fair Housing at the Individual and Community Levels and to suggest their own evidence-based solutions, using Open Data and the principles of Open Science. Students explored many topics, ranging from a New Framework for Public Rental Housing in Toronto to A Statistical Analysis on Thawing Permafrost and Its Effects on Housing. We designed in-depth learning modules for students as a means of bridging the gap between traditional high school courseware and digital reality and computational science. Students learned how to uncover hidden patterns and trends in structured and unstructured data using a range of data analytics tools and programming languages. Python, R, LaTeX, and machine learning were some of the tools the students learned and used. On behalf of the STEM Fellowship, we extend our sincere congratulations to all students who participated in the challenge, and wish them the best for their future endeavours. We want to express our appreciation to all the mentors and volunteers. This program would not be possible without patronage of CC UNESCO and generous support of our sponsors: RBC Future Launch, Let’s Talk Science, Digital Science, Infor, SCWST, CISCO Networking Academy, Canadian Science Publishing, and the University of Calgary Hunter Hub for Entrepreneurial Thinking. We were privileged to witness first-hand the analytical capabilities of the data-native generation of students, and we are confident they will demonstrate excellence throughout their academic and professional careers.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"123 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114075640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effective use of neoepitope-based vaccines in personalized cancer immunotherapy 基于新表位的疫苗在个体化癌症免疫治疗中的有效应用

STEM Fellowship Journal Pub Date : 2023-01-05 DOI: 10.17975/sfj-2023-001

Ryan Ugovsek, C. Lee

引用次数: 0

Improving diagnosis for disorders of consciousness: The case for a novel multi-paradigm approach 提高对意识障碍的诊断:一个新的多范式方法的案例

STEM Fellowship Journal Pub Date : 2022-11-09 DOI: 10.17975/sfj-2022-016

Yi An Wang, Adam M R Groh

引用次数: 0

A sentiment analysis of the Black Lives Matter movement using Twitter 利用推特对“黑人的命也是命”运动进行情绪分析

STEM Fellowship Journal Pub Date : 2022-09-13 DOI: 10.17975/sfj-2022-015

Jacqueline Peng, Jun Shen Fung, Muhammad Murtaza, Afnan Rahman, Pallav Walia, David Obande, Anish R. Verma

{"title":"A sentiment analysis of the Black Lives Matter movement using Twitter","authors":"Jacqueline Peng, Jun Shen Fung, Muhammad Murtaza, Afnan Rahman, Pallav Walia, David Obande, Anish R. Verma","doi":"10.17975/sfj-2022-015","DOIUrl":"https://doi.org/10.17975/sfj-2022-015","url":null,"abstract":"As more attention is brought to the issue of racial injustice, public sentiments and opinions on racial issues are increasingly important to track. At the same time, recent progress in machine learning and natural language processing methods, coupled with the growing amount of available data for training and analysis, allows researchers to extract sentiments from text data at large scales. We applied a natural language processing framework to study public sentiment surrounding the Black Lives Matter (BLM) movement. Specifically, we used a state-of-the-art BERT model fine-tuned for Twitter sentiment classification to predict the sentiment from approximately 1 million tweets from July 2013 to March 2021 related to BLM. The BERT model was trained on the Sentiment 140 dataset on which it obtained an AUC of 0.97 on the training data and 0.94 on testing data, outperforming other machine learning models. We found that retweet frequency and word count frequency were able to illustrate important themes in the BLM movement as well as indicate events of significant importance to the movement. Additionally, sentiment analysis revealed which of these themes and events were associated with positive public sentiment, such as social justice, and which were associated with negative sentiment, such as police brutality. Our analyses can also be applied to better understand other social and political movements to aid related research and activism.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116818504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Proceedings from the Global Youth Science and Technology Bowl 2022 2022年全球青年科技竞赛论文集

STEM Fellowship Journal Pub Date : 2022-08-31 DOI: 10.17975/sfj-2022-014

{"title":"Proceedings from the Global Youth Science and Technology Bowl 2022","authors":"","doi":"10.17975/sfj-2022-014","DOIUrl":"https://doi.org/10.17975/sfj-2022-014","url":null,"abstract":"The Global Youth Science and Technology Bowl (GYSTB) is an online competition based out of Hong Kong which encompasses biology, chemistry, engineering, and physics. The competition is a showcase of global youth scientific achievement and innovation, which aims to promote science and technology, provide a platform for global youth to develop their creativity and scientific mindsets, and facilitate the exchange of scientific ideas, interests, and abilities among young scientists all over the world. Young researchers worldwide compete with their research reports and prototypes. GYSTB is organized annually by The Hong Kong Federation of Youth Groups, and well supported by the academia in Hong Kong. This year, the competition received 125 teams of enrollment from 27 countries and regions including but not limited to the United States, Ireland, Sweden, South Korea, and Singapore. We extend our thanks to all parties for making this year's competition a success. STEM Fellowship collaborated with the GYSTB Secretariat to provide youth worldwide with the unique opportunity to submit their work in the STEM Fellowship Journal. This year's theme was \"Sustainable Development\". The broad scope of the competition allowed participants to submit their work in a variety of areas such as water pollution, food supply, medical health, energy harvest, artificial intelligence systems, environmental health, plastics, and many more. We are pleased to share the creativity and ambitious drive for research demonstrated by GYSTB's participants in these proceedings. We would like to congratulate every passionate individual who participated in the GYSTB this year and showcase their abstracts below.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"326 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115460189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The FRESH method of bioprinting the heart for transplantation 生物打印移植心脏的FRESH方法

STEM Fellowship Journal Pub Date : 2022-08-10 DOI: 10.17975/sfj-2022-013

Sophia Yang, S. Rosha

引用次数: 0

Proceedings from the 2022 Indicium Conference 2022年Indicium会议论文集

STEM Fellowship Journal Pub Date : 2022-07-28 DOI: 10.17975/sfj-2022-011

{"title":"Proceedings from the 2022 Indicium Conference","authors":"","doi":"10.17975/sfj-2022-011","DOIUrl":"https://doi.org/10.17975/sfj-2022-011","url":null,"abstract":"Indicium is an annual research mentorship program and competition geared towards introducing interested students to the process of independent research. Through this mentorship program, undergraduate students are grouped with mentors or principal investigators (e.g., PhDs, professors, graduate students, medical students) who actively guide and support student teams to conduct research. With the mentors’ guidance, Indicium participants are fully prepared for the final Indicium Research Conference. The program also includes workshops focusing on various aspects of project development as well as networking opportunities within the greater scientific community. This year, Indicium expanded across five universities across Canada and was carried out by the STEM Fellowship branches at McMaster University, University of British Columbia, York University, University of Toronto St. George, and University of Toronto Mississauga. Every branch held a university-level conference where participating teams submitted to have their abstracts to be published in the proceedings below. Eight teams selected from these branches moved forward to participate in the National Indicium research Conference held on July 9, 2022. Winning research projects from this final competition are invited to submit their work to the STEM Fellowship Journal, pending that it passes peer review. We are pleased to be showcasing the conference proceedings from the five participating Canadian universities. It was our pleasure working alongside an incredible group of mentors, mentees, judging panel, and executive team on this initiative. Indicium would not be possible without the drive, engagement, and active participation of all those who were involved to help advance knowledge, mentorship, and future opportunity.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128495444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An investigation into the socioeconomic factors correlated with PISA reading scores 对与PISA阅读成绩相关的社会经济因素的调查

STEM Fellowship Journal Pub Date : 2022-07-28 DOI: 10.17975/sfj-2022-012

Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili

{"title":"An investigation into the socioeconomic factors correlated with PISA reading scores","authors":"Orchee Haque, Sophie Hoyer, S. Huynh, Sraddha Uppili","doi":"10.17975/sfj-2022-012","DOIUrl":"https://doi.org/10.17975/sfj-2022-012","url":null,"abstract":"Literacy is a fundamental skill that is essential to navigate daily life in modern society. Its importance is emphasized by Target 4.6 of the United Nations Sustainable Development Goals, which aims to “ensure that all youth and a substantial proportion of adults, both men and women, achieve literacy and numeracy” by 2030. This study utilized indicators of the Human Development Index to determine the socioeconomic factors most correlated to a country’s youth literacy rates, as measured by its score on the literacy section of the Programme for International Assessment (PISA). We examined the relationship between national PISA reading test scores and nine socioeconomic factors: a country’s mean years of schooling, primary school enrollment, secondary school enrollment, gross domestic product (GDP), GDP per capita, government spending on education, life expectancy, infant mortality, and total population. Triennial data spanning from 2000 to 2018 was gathered for over 80 countries and analyzed by year using simple linear regression models. A combination of Google Sheets, Microsoft Excel, and Python libraries was used to analyze the relationship between literacy and our chosen socioeconomic factors to determine which of the factors were most strongly correlated with youth literacy rates. Our results were interpreted using R2 and Pearson correlation coefficient values. From these results, we concluded that infant mortality, mean years of schooling, and life expectancy exhibit the strongest correlations with PISA test scores, suggesting that the strength of a country’s healthcare system is highly orrelated with its quality of education.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129069260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the effect of atrazine exposure on the reproductive capacity of Daphnia magna 探讨阿特拉津暴露对大水蚤繁殖能力的影响

STEM Fellowship Journal Pub Date : 2022-06-10 DOI: 10.17975/sfj-2022-009

Lee Christoff-Johan, Lee Nikko-Johan

{"title":"Exploring the effect of atrazine exposure on the reproductive capacity of Daphnia magna","authors":"Lee Christoff-Johan, Lee Nikko-Johan","doi":"10.17975/sfj-2022-009","DOIUrl":"https://doi.org/10.17975/sfj-2022-009","url":null,"abstract":"Atrazine is an herbicide commonly used for weed control in crops and on turf, but environmental contamination with atrazine causes endocrine disruption leading to reproductive defects in humans and freshwater organisms. The molecular and cellular mechanisms causing these reproductive deficiencies remain largely unknown. Thus, the purpose of this study is to explore the reproductive consequence of atrazine exposure at the molecular and cellular level in the freshwater planktonic crustacean, Daphnia magna. Results show that exposure of D. magna to high atrazine concentration of 1000 or 2000 μg/L reduced the number of the first set of offspring born at least 5 days after atrazine exposure. D. magna exposed to these atrazine concentrations exhibited DNA fragmentation, nuclear condensation and fragmentation in the ovaries, and caspase-3 protein activation in both the ovaries and embryos in the brood chamber. No obvious DNA fragmentation, nuclear condensation and fragmentation, or caspase-3 activation was seen in other tissues. These findings suggest that high environmental concentrations of atrazine specifically induce apoptosis in reproductive tissues, which could account for the decline in the number of offspring in D. magna exposed to high concentrations of atrazine.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114552268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prevalence and effect of misinformation on Twitter during the COVID-19 pandemic: A mixed-methods social media analysis 2019冠状病毒病大流行期间Twitter上错误信息的流行程度和影响:一项混合方法的社交媒体分析

STEM Fellowship Journal Pub Date : 2022-06-10 DOI: 10.17975/sfj-2022-007

Khamar Jigish, Wu Miranda, Maduranayagam Sharleen, Dhivagaran Thanansayan, Tiwary Ayushka, Parikh Chaitali, H. Rebecca

{"title":"Prevalence and effect of misinformation on Twitter during the COVID-19 pandemic: A mixed-methods social media analysis","authors":"Khamar Jigish, Wu Miranda, Maduranayagam Sharleen, Dhivagaran Thanansayan, Tiwary Ayushka, Parikh Chaitali, H. Rebecca","doi":"10.17975/sfj-2022-007","DOIUrl":"https://doi.org/10.17975/sfj-2022-007","url":null,"abstract":"Throughout the COVID-19 pandemic, there has been an upward trend of medical misinformation circulating on social media. With the large reach of platforms like Twitter, misinformation can shape the opinions of masses on public health topics and behaviors. This study aims to assess the prevalence of misinformation on Twitter and its impact on the public through a concurrent mixed-methods design. In the quantitative component, we investigated the prevalence of misinformation on Twitter related to COVID-19 transmission, alternative treatments, and vaccines. Twitter shares for the most popular articles were collected at four time periods and misinformation was analyzed for temporal and topical changes. The qualitative component assessed the impact of misinformation by analyzing perspectives towards vaccine acceptance, mask adherence, and lockdown compliance on Twitter. Twitter articles regarding alternative COVID-19 treatments had the most misinformation (47.5%), followed by transmission (20.0%) and vaccines (8.8%). The prevalence of misinformation decreased over time for both alternative treatments and transmission. Conversely, vaccines displayed an increase in misinformation over time. Vaccine acceptance and mask adherence had considerable support; however, some individuals questioned the effectiveness of these measures. Lockdown compliance had mixed support as some supported the enhanced measures while others displayed frustration. Individuals showcased varying opinions on Twitter regarding their willingness to obey public health regulations. Overall, there was a high prevalence of misinformation regarding COVID-19 transmission, alternative treatments, and vaccines during the pandemic.","PeriodicalId":268438,"journal":{"name":"STEM Fellowship Journal","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114020701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0