scholarly journals Examining Cannabis, Tobacco, and Vaping Discourse on Reddit: An Exploratory Approach Using Natural Language Processing

2022 ◽  
Vol 9 ◽  
Author(s):  
Ryzen Benson ◽  
Mengke Hu ◽  
Annie T. Chen ◽  
Shu-Hong Zhu ◽  
Mike Conway
Keyword(s):  
Smoking Cessation ◽  
Language Processing ◽  
Latent Dirichlet Allocation ◽  
Epidemiologic Study ◽  
The United States ◽  
Annotation Scheme ◽  
Personal Experiences ◽  
Personal Use ◽  
Use Behavior ◽  
High Level

Background: Perceptions of tobacco, cannabis, and electronic nicotine delivery systems (ENDS) are continually evolving in the United States. Exploring these characteristics through user generated text sources may provide novel insights into product use behavior that are challenging to identify using survey-based methods. The objective of this study was to compare the topics frequently discussed among Reddit members in cannabis, tobacco, and ENDS-specific subreddits.Methods: We collected 643,070 posts on the social media site Reddit between January 2013 and December 2018. We developed and validated an annotation scheme, achieving a high level of agreement among annotators. We then manually coded a subset of 2,630 posts for their content with relation to experiences and use of the three products of interest, and further developed word cloud representations of the words contained in these posts. Finally, we applied Latent Dirichlet Allocation (LDA) topic modeling to the 643,070 posts to identify emerging themes related to cannabis, tobacco, and ENDS products being discussed on Reddit.Results: Our manual annotation process yielded 2,148 (81.6%) posts that contained a mention(s) of either cannabis, tobacco, or ENDS with 1,537 (71.5%) of these posts mentioning cannabis, 421 (19.5%) mentioning ENDS, and 264 (12.2%) mentioning tobacco. In cannabis-specific subreddits, personal experiences with cannabis, cannabis legislation, health effects of cannabis use, methods and forms of cannabis, and the cultivation of cannabis were commonly discussed topics. The discussion in tobacco-specific subreddits often focused on the discussion of brands and types of combustible tobacco, as well as smoking cessation experiences and advice. In ENDS-specific subreddits, topics often included ENDS accessories and parts, flavors and nicotine solutions, procurement of ENDS, and the use of ENDS for smoking cessation.Conclusion: Our findings highlight the posting and participation patterns of Reddit members in cannabis, tobacco, and ENDS-specific subreddits and provide novel insights into aspects of personal use regarding these products. These findings complement epidemiologic study designs and highlight the potential of using specific subreddits to explore personal experiences with cannabis, ENDS, and tobacco products.

Electronic cigarettes: How confident and effective are allergists, pulmonologists, and primary care physicians in their practice behavior?

2020 ◽  
Vol 41 (3) ◽  
pp. 192-197
Author(s):  
Sherry S. Zhou ◽  
Alan P. Baptist
Keyword(s):  
Primary Care ◽  
Primary Care Physicians ◽  
Electronic Cigarettes ◽  
The United States ◽  
Fisher Exact Test ◽  
Exact Test ◽  
Knowledge And Beliefs ◽  
Tobacco Cigarette ◽  
Number Of Patients ◽  
Personal Use

Background: There has been a striking increase in electronic cigarette (EC) use in the United States. The beliefs and practices toward ECs among physicians are unknown. Objective: The purpose of this study was to investigate EC practice patterns among allergists, pulmonologists, and primary care physicians. Methods: An anonymous survey was sent to physicians. The survey contained 32 questions and addressed issues related to demographics, cessation counseling behaviors, personal use, and knowledge and beliefs about ECs. Statistical analysis was performed by using analysis of variance, the Pearson χ2 test, Fisher exact test, and logistic regression. Results: A total of 291 physicians completed the survey (222 primary care physicians, 33 pulmonologists, and 36 allergists) for a response rate of 46%. The allergists asked about tobacco cigarette use as frequently as did the pulmonologists and more than the primary care physicians (p < 0.001), but they rarely asked about EC use. The pulmonologists scored highest on self-reported knowledge on ECs, although all the groups answered <40% of the questions correctly. The allergists did not feel as comfortable about providing EC cessation counseling as did the pulmonologists and primary care physicians (p < 0.001). All three groups were equally unlikely to recommend ECs as a cessation tool for tobacco cigarette users. Conclusion: Allergists lacked knowledge and confidence in providing education and cessation counseling for EC users. As the number of patients who use these products continues to increase, there is an urgent need for all physicians to be comfortable and knowledgeable with counseling about ECs.

TREATMENT OF NICOTINE DEPENDENCE IN PATIENTS WITH ONCOLOGICAL DISEASES

2020 ◽  
Vol 66 (1) ◽  
pp. 7-12
Author(s):  
Petr Yablonskiy ◽  
Olga Sukhovskaya ◽  
I. Kulikov
Keyword(s):  
Smoking Cessation ◽  
Russian Federation ◽  
Withdrawal Syndrome ◽  
Malignant Tumors ◽  
Behavioral Therapy ◽  
Tobacco Consumption ◽  
The United States ◽  
Nicotine Addiction ◽  
World Health ◽  
The Russian Federation

Worldwide, tobacco use is a major behavioral risk factor for cancer. A comparative study conducted in 2017 showed that 7.10 million deaths were associated with smoking. Tobacco consumption not only increases the risk of developing various forms of cancer, but also reduces life expectancy after suffering a cancer, and increases the risk of relapse. In patients with lung cancer who underwent lung resection, smoking increased the risk of nosocomial mortality by three times and significantly increased the incidence of pulmonary complications. In addition to the localization and stage of cancer, abstinence from tobacco consumption has been noted as the strongest predictor of survival in cancer patients. In the United States, National Recommendations for Comprehensive Cancer Treatment (NCCN) included recommendations for the treatment of nicotine addiction, including 12 weeks of behavioral therapy (including telephone counseling) in combination with smoking cessation drugs for all patients receiving treatment in oncological clinics. Treatment of nicotine addiction has proven cost-effective: in particular, it has been shown for a smoking cessation program prior to surgical resection of the lung. Principles 5 A are recommended by the World Health Organization (WHO) to assist in the smoking cessation. There are national guidelines in other countries. In the Russian Federation, clinical guidelines “Tobacco addiction syndrome, tobacco withdrawal syndrome in adults” were adopted. Given the significant impact of smoking on the prognosis of cancer, the treatment of nicotine addiction should be an integral part of the treatment of malignant tumors. The most effective treatment is the combination of pharmacotherapy and cognitive-behavioral therapy. Teaching behavioral methods to overcome the withdrawal syndrome can be conducted by calling the to Quitline, organized by the Ministry of Health of the Russian Federation.

Designing a Chat-Bot for College Information using Information Retrieval and Automatic Text Summarization Techniques

2020 ◽  
Vol 01 ◽  
Author(s):  
Radha Guha
Keyword(s):  
Information Retrieval ◽  
Language Processing ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Text Summarization ◽  
The Internet ◽  
Specific Domain ◽  
User Query ◽  
College Information ◽  
Chat Bot

Background:: In the era of information overload it is very difficult for a human reader to make sense of the vast information available in the internet quickly. Even for a specific domain like college or university website it may be difficult for a user to browse through all the links to get the relevant answers quickly. Objective:: In this scenario, design of a chat-bot which can answer questions related to college information and compare between colleges will be very useful and novel. Methods:: In this paper a novel conversational interface chat-bot application with information retrieval and text summariza-tion skill is designed and implemented. Firstly this chat-bot has a simple dialog skill when it can understand the user query intent, it responds from the stored collection of answers. Secondly for unknown queries, this chat-bot can search the internet and then perform text summarization using advanced techniques of natural language processing (NLP) and text mining (TM). Results:: The advancement of NLP capability of information retrieval and text summarization using machine learning tech-niques of Latent Semantic Analysis(LSI), Latent Dirichlet Allocation (LDA), Word2Vec, Global Vector (GloVe) and Tex-tRank are reviewed and compared in this paper first before implementing them for the chat-bot design. This chat-bot im-proves user experience tremendously by getting answers to specific queries concisely which takes less time than to read the entire document. Students, parents and faculty can get the answers for variety of information like admission criteria, fees, course offerings, notice board, attendance, grades, placements, faculty profile, research papers and patents etc. more effi-ciently. Conclusion:: The purpose of this paper was to follow the advancement in NLP technologies and implement them in a novel application.

Race and Gender

2020 ◽  
pp. 251-269 ◽  
Author(s):  
Timnit Gebru
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
The United States ◽  
Error Rates ◽  
Political Factors ◽  
Recidivism Rates ◽  
Race And Gender ◽  
Decision Tools ◽  
And Gender ◽  
Technical Solutions

This chapter discusses the role of race and gender in artificial intelligence (AI). The rapid permeation of AI into society has not been accompanied by a thorough investigation of the sociopolitical issues that cause certain groups of people to be harmed rather than advantaged by it. For instance, recent studies have shown that commercial automated facial analysis systems have much higher error rates for dark-skinned women, while having minimal errors on light-skinned men. Moreover, a 2016 ProPublica investigation uncovered that machine learning–based tools that assess crime recidivism rates in the United States are biased against African Americans. Other studies show that natural language–processing tools trained on news articles exhibit societal biases. While many technical solutions have been proposed to alleviate bias in machine learning systems, a holistic and multifaceted approach must be taken. This includes standardization bodies determining what types of systems can be used in which scenarios, making sure that automated decision tools are created by people from diverse backgrounds, and understanding the historical and political factors that disadvantage certain groups who are subjected to these tools.

Language and Aging

2019 ◽  
pp. 294-316
Author(s):  
Jonathan E. Peelle
Keyword(s):  
Language Processing ◽  
Brain Function ◽  
Neural Systems ◽  
Language Abilities ◽  
Physiological Mechanisms ◽  
Cognitive Changes ◽  
Older Adulthood ◽  
Neural Organization ◽  
Age Related ◽  
High Level

Language processing in older adulthood is a model of balance between preservation and decline. Despite widespread changes to physiological mechanisms supporting perception and cognition, older adults’ language abilities are frequently well preserved. At the same time, the neural systems engaged to achieve this high level of success change, and individual differences in neural organization appear to differentiate between more and less successful performers. This chapter reviews anatomical and cognitive changes that occur in aging and popular frameworks for age-related changes in brain function, followed by an examination of how these principles play out in the context of language comprehension and production.

Student Privacy and the Law in the Internet Age

2019 ◽  
Author(s):  
Leah Plunkett ◽  
Urs Gasser ◽  
Sandra Cortesi
Keyword(s):  
Learning Environments ◽  
School Environment ◽  
Privacy Protection ◽  
Data Privacy ◽  
Digital Technologies ◽  
The United States ◽  
Legal Framework ◽  
Privacy Law ◽  
Student Privacy ◽  
High Level

New types of digital technologies and new ways of using them are heavily impacting young people’s learning environments and creating intense pressure points on the “pre-digital” framework of student privacy. This chapter offers a high-level mapping of the federal legal landscape in the United States created by the “big three” federal privacy statutes—the Family Educational Rights and Privacy Act (FERPA), the Children’s Online Privacy Protection Act (COPPA), and the Protection of Pupil Rights Amendment (PPRA)—in the context of student privacy and the ongoing digital transformation of formal learning environments (“schools”). Fissures are emerging around key student privacy issues such as: what are the key data privacy risk factors as digital technologies are adopted in learning environments; which decision makers are best positioned to determine whether, when, why, and with whom students’ data should be shared outside the school environment; what types of data may be unregulated by privacy law and what additional safeguards might be required; and what role privacy law and ethics serve as we seek to bolster related values, such as equity, agency, and autonomy, to support youth and their pathways. These and similar intersections at which the current federal legal framework is ambiguous or inadequate pose challenges for key stakeholders. This chapter proposes that a “blended” governance approach, which draws from technology-based, market-based, and human-centered privacy protection and empowerment mechanisms and seeks to bolster legal safeguards that need to be strengthen in parallel, offers an essential toolkit to find creative, nimble, and effective multistakeholder solutions.

Machine learning for rediscovering revolutionary ideas of the past

2021 ◽  
pp. 105971232098304
Author(s):  
R Alexander Bentley ◽  
Joshua Borycz ◽  
Simon Carrignon ◽  
Damian J Ruck ◽  
Michael J O’Brien
Keyword(s):  
Language Processing ◽  
Scientific Progress ◽  
Phylogenetic Inference ◽  
The Past ◽  
New Methods ◽  
Inherent Nature ◽  
Social Learning Processes ◽  
High Level ◽  
Scientific Ideas ◽  
Revolutionary Science

The explosion of online knowledge has made knowledge, paradoxically, difficult to find. A web or journal search might retrieve thousands of articles, ranked in a manner that is biased by, for example, popularity or eigenvalue centrality rather than by informed relevance to the complex query. With hundreds of thousands of articles published each year, the dense, tangled thicket of knowledge grows even more entwined. Although natural language processing and new methods of generating knowledge graphs can extract increasingly high-level interpretations from research articles, the results are inevitably biased toward recent, popular, and/or prestigious sources. This is a result of the inherent nature of human social-learning processes. To preserve and even rediscover lost scientific ideas, we employ the theory that scientific progress is punctuated by means of inspired, revolutionary ideas at the origin of new paradigms. Using a brief case example, we suggest how phylogenetic inference might be used to rediscover potentially useful lost discoveries, as a way in which machines could help drive revolutionary science.

scholarly journals 338. Analysis of Etiologies of Aseptic Meningitis within a Nation-Wide Hospital Network

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S239-S239
Author(s):  
Arunmozhi S Aravagiri ◽  
Scott Kubomoto ◽  
Ayutyanont Napatkamon ◽  
Sarah Wilson ◽  
Sudhakar Mallela
Keyword(s):  
United States ◽  
West Nile Virus ◽  
Aseptic Meningitis ◽  
Epidemiologic Study ◽  
The United States ◽  
Positive Test ◽  
Diagnostic Tools ◽  
West Nile ◽  
Varicella Zoster ◽  
The Us

Abstract Background Aseptic meningitis can be caused by an array of microorganisms, both bacterial and non-bacterial, as well as non-infectious conditions. Some etiologies of aseptic meningitis require treatment with antibiotics, antiviral, antifungals, anti-parasitic agents, immunosuppressants, and or chemotherapy. There are limited diagnostic tools for diagnosing certain types of aseptic meningitis, therefore knowing the differential causes of aseptic meningitis, and their relative percentages may assist in diagnosis. Review of the literature reveals that there are no recent studies of etiologies of aseptic meningitis in the United States (US). This is an epidemiologic study to delineate etiologies of aseptic meningitis in a large database of 185 HCA hospitals across the US. Methods Data was collected from January 2016 to December 2019 on all patients diagnosed with meningitis. CSF PCR studies, and CSF antibody tests were then selected for inclusion. Results Total number of encounters were 3,149 hospitalizations. Total number of individual labs analyzed was 10,613, and of these 262 etiologies were identified. 23.6% (62) of cases were due to enterovirus, 18.7% (49) due to HSV-2, 14.5% (38) due to West Nile virus, 13.7% (36) due to Varicella zoster (VZV), 10.5% (27) due to Cryptococcus. Additionally, we analyzed the rate of positive test results by region. Nationally, 9.7% of tests ordered for enterovirus were positive. In contrast, 0.5% of tests ordered for HSV 1 were positive. The southeastern United States had the highest rate of positive tests for HSV 2 (7% of tests ordered for HSV 2 were positive). The central United States had the highest rate of positive test for West Nile virus (11% of tests ordered for West Nile were positive). The northeastern region and the highest rate of positive tests for varicella zoster (18%). Table 1: Percentage of positive CSF tests (positive tests/tests ordered) Table 2: Lists the number of HIV patients and transplant patients that had positive CSF PCR/serologies Figure 1: Percentage of positive CSF tests in each region Conclusion Approximately 40% of aseptic meningitis population had treatable etiologies. A third of the Cryptococcus meningitis population had HIV. Furthermore, enteroviruses had the majority of cases within the US, which are similar to studies done in other parts of the world. Disclosures All Authors: No reported disclosures

scholarly journals Beyond Religiosity: A Model to Explain Spirituality Among Middle-Aged and Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 413-414
Author(s):  
Carlyn Vogel ◽  
Debra Dobbs ◽  
Brent Small
Keyword(s):  
United States ◽  
Older Adults ◽  
Good Life ◽  
Multinomial Logistic Regression ◽  
College Experience ◽  
The United States ◽  
Strong Connection ◽  
Deep Appreciation ◽  
The World ◽  
High Level

Abstract Spirituality is difficult to define as researchers assign it different meanings and individuals’ perceptions can vary. For example, spirituality may connect to religiosity, while others consider religiosity a less significant part of spirituality. This study investigates factors outside of religiosity that are significantly associated with spirituality to inform the characteristics of the concept. Webster’s (2004) existential framework of spirituality was used to guide variable selection. The National Survey of Midlife in the United States wave three (MIDUS 3; 2013-2014; n = 2,594; Mage = 63.5, SD = 11, range = 39–92) was used to examine individuals’ reported levels of spirituality. Multinomial logistic regression was conducted to examine factors related to low and high levels of spirituality compared to a moderate level. Participants with low spirituality were more likely to be male, less likely to be mindful, mediate/chant, feel a strong connection to all life, to indicate that they cannot make sense of the world, and to be religious. Participants with high spirituality were more likely to be female, have at least some college experience, be mindful, meditate/chant, feel deep inner peace, have a sense of deep appreciation, think that a sense of purpose is important for a good life, and have a high level of religiosity. Framed by Webster’s conceptual model, the current study observed that religiosity is significantly associated with spirituality and that other mindfulness-based aspects are also present within this concept. Incorporating mindfulness with religious efforts will more accurately and holistically address spirituality.

Geographic Variation in Dominance of Spinosad Resistance in Colorado Potato Beetles (Coleoptera: Chrysomelidae)

2020 ◽  
Author(s):  
Coby Klein ◽  
Mitchell Baker ◽  
Andrei Alyokhin ◽  
David Mota-Sanchez
Keyword(s):  
New York ◽  
Long Island ◽  
New York State ◽  
The United States ◽  
Island Population ◽  
Potato Beetle ◽  
Rate Of Increase ◽  
Short Period ◽  
Leptinotarsa Decemlineata Say ◽  
High Level

Abstract Eastern New York State is frequently the site of Colorado potato beetle (Leptinotarsa decemlineata, Say) populations with the highest observed levels of insecticide resistance to a range of active ingredients. The dominance of a resistant phenotype will affect its rate of increase and the potential for management. On organic farms on Long Island, L. decemlineata evolved high levels of resistance to spinosad in a short period of time and that resistance has spread across the eastern part of the Island. Resistance has also emerged in other parts of the country as well. To clarify the level of dominance or recessiveness of spinosad resistance in different parts of the United States and how resistance differs in separate beetle populations, we sampled in 2010 beetle populations from Maine, Michigan, and Long Island. In addition, a highly resistant Long Island population was assessed in 2012. All populations were hybridized with a laboratory-susceptible strain to determine dominance. None of the populations sampled in 2010 were significantly different from additive resistance, but the Long Island population sampled in 2012 was not significantly different from fully recessive. Recessive inheritance of high-level resistance may help manage its increase.

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