Topic Ranking Research Articles

Centering the female athlete voice in a sports science research agenda: a modified Delphi survey with Team USA athletes

ObjectivesTo co-construct a sports medicine and exercise science research and translational agenda with Team USA elite female athletes serving as the experts on their health, performance and well-being.Methods40 Team USA...

Abstract B084: Multi-Stakeholder Engagement to Create Equity in Prostate Cancer Outcomes through Identifying Community Priorities in Early Detection Research

Abstract Introduction: Black individuals have a two-fold higher rate of prostate cancer death in the US compared with other groups. This is the largest racial inequity in US cancer-related deaths. Annual prostate-specific antigen (PSA) testing among Black individuals starting at age 45 years could reduce mortality by 30% compared with current screening practices. Few current practice guidelines make race-conscious screening recommendations due to a lack of trial data on screening in Black populations; only 0-3% of participants in practice-informing PSA screening trial cohorts were Black. An equity-informed approach is required to ensure that trial designs reflect the priorities and perspectives of Black individuals to ensure their participation in future research. Methods: We partnered with the Black and African-descent Collaborative for Prostate Cancer ACtion (BACPAC) to conduct a survey to identify community priorities in prostate cancer early detection research. Respondents were asked to rate the importance of 15 research topics, then select the three topics most critical for research. Members of the BACPAC Virtual Research Community (VRC), a nationally representative group of 2,016 Black prostate cancer survivors and community members, were invited to participate. Eligible members were Black prostate cancer survivors and family members/caregivers of Black prostate cancer survivors. Those who met the inclusion criteria were emailed a unique link to complete the online survey. Results: 1,557 eligible VRC members received a survey link, 1,224 surveys were completed (78.6% response rate). 60% of respondents were survivors, 38% were family members/caregivers, and 2% were both. More than 80% of respondents rated each of the 15 research topics as moderately to very important. Topic rankings revealed two overarching priority areas, representing 6 out of 15 topics included in the survey. These areas were 1) the use of reflex testing in the setting of elevated PSA to aid detection of clinically significant cancer and 2) establishing optimal timing for initiation or interval of PSA testing for prostate cancer screening. Regarding use of reflex testing, 97.7% of respondents prioritized blood (44.3%), urine (27.8%), or MRI (25.6%) reflex testing. Regarding timing of PSA testing, 51.5% of respondents prioritized customized screening schedules based on personal risk factors, with 24.9% selecting to improve rates of screening and 26.6% selecting to improve detection of clinically significant cancers, and 25% of respondents prioritized initiating screening at age 45 to improve early detection of prostate cancer. Conclusion: Our survey identified critical research topics that are of high importance to Black prostate cancer survivors and their families/caregivers. Our findings bridge a critical gap in prostate cancer early detection research, from which Black individuals have been historically excluded. Involving Black prostate cancer survivors in research design may help ensure that Black individuals are better represented in future clinical trials. Citation Format: Jenney R. Lee, Sung Min Kim, Erika M. Wolff, Yohali Burrola-Mendez, Dante' Morehead, Ben Young, Raymond Miller, Robert Ginyard, Frank Fields, Marty Chakoian, Patrick Bingham, Daniel VanArsdale, Mike Crosby, Tony Minter, Thomas Farrington, John Masembe, Burcu Darst, Ruth Etzioni, Adam Murphy, Sam L Washington, Jonathan Shoag, Yaw A Nyame. Multi-Stakeholder Engagement to Create Equity in Prostate Cancer Outcomes through Identifying Community Priorities in Early Detection Research [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B084.

Базова структура верстки телевізійних новин: стандартизований підхід до виробництва новин

This research introduces an original definition of the «news layout model,» emphasizing its significance as a conventional approach in crafting news broadcasts. The study reveals that the architecture of this model encompasses the principles of selection and ranking of topics, methodologies for information presentation, and on-air techniques. These components are inherently linked to strategic approaches in topic selection and ranking, which are grounded in the foundational principles of news creation. The presentation methods relate to the overarching strategies for assembling a news broadcast, employing a system of techniques that enable the creation of a comprehensive information segment. Meanwhile, the layout techniques are aligned with strategic approaches that ensure the news program is structured and visually organized. In the rapidly evolving landscape of television production, the meticulously developed news layout model stands as a cornerstone for swift and coordinated preparation of news segments, thereby facilitating channel discourse management.

Perceptions of Adult Obesity Education: A Pilot Study.

This pilot research study, conducted at a large academic healthcare facility, used mixed methodology to (1) administer a survey to a group of primary care trainees and faculty and (2) conduct key informant interviews with the program directors, or their delegates of these primary care training programs, so as to gain insight into respondents' perceptions about their training on adult obesity. To maintain confidentiality of the key informants, they were defined as "Administrators." Faculty and trainees were from family medicine and internal medicine residency programs, as well as family nurse practitioner and physician assistant training programs. This study used a quantitative survey and four qualitative key informant (Administrator) interviews. Descriptive statistics, χ2, or Fisher exact tests were used to analyze select survey responses. Administrator interviews were analyzed with thematic analysis. Survey respondents (n = 75) included primary care trainees (n=34), faculty (n=30), other (n=2), did not answer (n=9). Surveys indicated that additional training is needed for bariatric surgery, weight loss medications, and clinical nutrition. The three highest ranked topics in the surveys on adult obesity were basic nutrition, behavioral weight management, and a rotation on adult obesity. Most agreed on the need for interprofessional collaboration, a centralized obesity treatment center, and an introductory obesity course. Key themes from the four Administrator interviews revealed the need: for more training; to build upon current curriculum; use innovative technology; fiscal challenges; and time management. Both faculty and trainees perceive that academic and clinical training on adult obesity is inadequate, and that trainees need more education on such topics as nutrition, physical activity, behavioral health, antiobesity medications, and bariatric surgery. Competency to treat varied by topic. It also showed that more interprofessional collaboration and a centralized obesity treatment center are needed. Recommendations included integrating modular units about obesity into already established primary care training programs and providing additional resources.

민간조사제도에 대한 빅데이터 분석 연구

In this study, we would like to explore how the media means the private investigation system through “Big Cains,” a news big data analysis site. Therefore, it provided a big data system for the media and collected data from various media organizations to analyze media reports on private investigations through BigKinds, a news big data analysis system created as news content. In order to achieve the purpose of the research, the flow of keywords was identified by dividing them into 2000s, 2010s and 2020s and deriving and presenting the number of related articles every year during that period. As a result of this study, it was found that in the 2000s, the frequency of media reporting was low at a time when public interest in the private investigation system and various studies were not conducted in academia. Second, in the 2010s, there was a high topic rank on the private survey system compared to the 2000s, and various research and education were conducted in academia and industry related to government policies and private surveys. Third, the 2020s marked a high topic rank as related laws were revised, heralding a new change in the private investigation system. Therefore, it is hoped that the government will move in a direction that will greatly help the people's security demand by supplementing the protection of citizens' rights, minimizing conflicts between direct translations, and limitations of national security.

Developing a four-entities reinforced rank model to evaluate the topic influence in academic networks

Several studies have reported on metrics for measuring the influence of scientific topics from different perspectives; however, current ranking methods ignore the reinforcing effect of other academic entities on topic influence. In this paper, we developed an effective topic ranking model, 4EFRRank, by modeling the influence transfer mechanism among all academic entities in a complex academic network using a four-layer network design that incorporates the strengthening effect of multiple entities on topic influence. The PageRank algorithm is utilized to calculate the initial influence of topics, papers, authors, and journals in a homogeneous network, whereas the HITS algorithm is utilized to express the mutual reinforcement between topics, papers, authors, and journals in a heterogeneous network, iteratively calculating the final topic influence value. Based on a specific interdisciplinary domain, social media data, we applied the 4ERRank model to the 19,527 topics included in the criteria. The experimental results demonstrate that the 4ERRank model can successfully synthesize the performance of classic co-word metrics and effectively reflect high citation topics. This study enriches the methodology for assessing topic impact and contributes to the development of future topic-based retrieval and prediction tasks.

Resident Wilderness Medicine Curriculum Consensus Guidelines: Summarization and Recommendations for Resident Rotations in Wilderness Medicine.

Wilderness medicine education is one of the fastest growing facets of both graduate and undergraduate medical education. Currently, there are curriculum guidelines for both student electives and fellowships in wilderness medicine. However, there are no guidelines for resident elective curricula. The student/resident education committee of the Wilderness Medical Society (WMS) convened a task force to develop curriculum guidelines for these electives. A survey of previously described core wilderness medicine topics was sent to a cohort of educators involved in wilderness medicine resident electives. They were asked to rank topics on the basis of their importance of being included on a Likert scale. Multivariate analysis of medians was used to distinguish among topics to determine which topics were voted most and least necessary for a curriculum. Of the database members contacted, 35 responded to the survey. The described current state of residency electives was that 16 institutions offered their own elective (46%). For subject preferences, multivariate analysis of scoring distribution medians demonstrated a significantly higher pattern of responses (P<0.01) for subjects with a median of 3 (must include) than for the lowest-scoring subjects that had a median of 1 (can include). Every topic was rated "must" by at least 1 respondent. Topics were further subdivided into an educational framework reflecting a common approach to education of wilderness medicine fellows focusing on education, leadership, knowledge, and skills. There was a wide variety in the ranking of topics; however, there were multiple topics on which a consensus for inclusion was reached. These topics are organized and presented here as a suggested curriculum by the student/resident education committee of the WMS.

170 Revisiting perceived needs of Arizona horse owners to update and focus cooperative extension horse educational programming and resource development directions

In 2021, a voluntary, anonymous online livestock/equine survey (originally distributed in 2015), was readministered using Qualtrics® software and disseminated to Arizona livestock/equine industry stakeholders through email listservs, social media, personal connections, and attendees of cooperative extension events. The goal was to compare the 2021 data from horse owners (118/237 overall responses) to the 2015 responses (280 horse owners/484 total respondents) to review, update and if necessary, change the focus of our educational programming to topics perceived to be of moderate to critical need by 2021 Arizona horse owners. Survey results from both years came from all 15 Arizona counties and grouped by number of horses owned (1–3, 4–6, 7–9, and ≥ 10). The 2 data sets were analyzed independently using Chi-Square contingency tests, with significance declared at (P < 0.05). In both 2015 and 2021, more respondents owning 1–3 horses used their horses for recreation only (P < 0.05), and more respondents owning ≥ 10 horses used them for business (P < 0.05). In 2015, preferences for methods of information delivery were significantly affected by the age of respondent, with ≥ 70 years choosing newsletters/emails and both 50–69 years and ≥ 70 years preferring hands-on field days (P < 0.05). Additionally, more 50–69year-old respondents wanted fact sheets (P < 0.05). In 2021, ≥ 70 year-old respondents were less receptive to virtual seminars (P < 0.05). Survey takers ranked each of 22 topics related to horse feeding, management, training, horse health, business planning, etc. by no, slight, moderate, or critical need. Highest ranking topics in both 2015 and 2021, (with > 60% of ratings ranging from moderate to critical need), included toxic plants, vaccination programs, training and behavior, hoof care, heat stress, utilizing AZ forage, and lameness. In 2015, more respondents owning ≥ 10 horses chose “no need” for horse training/management (P < 0.05) and heat stress (P < 0.05), but in 2021 the “no need” for heat stress education difference was no longer apparent. In 2015, owners with 1–3 horses did not perceive a critical need for heat stress education, but they did in 2021 (P < 0.05). Topics with the highest perceived need were similar in 2021 and 2015, allowing us to continue with our current programming areas and priorities, although we found the age of respondents affected their preferences for methods of information delivery, and we need to continue heat stress education for recreational horse stakeholders owning 1–3 horses.

Productivity Index in Clinical Andrology: Research Directions on High-Impact Topics and in Particular on Male Infertility.

Andrological diseases have an important social and economic impact as they cause a serious impairment of the quality of life of the affected patient. Epidemiologically, the impact of these disorders is progressively increasing, as demonstrated by the ever-growing prevalence of male infertility. This evidence justifies the rapid development of research in andrology that the scientific community has undertaken in recent decades. This study aims to evaluate the productivity index of the main andrological topics studied and reported in the literature. The total number of published articles was extracted from the Scopus database by entering the following keywords and mesh terms: "Male Infertility", "Erectile Dysfunction", "Premature Ejaculation", "Male Hypogonadism", "Testicular Tumors", "Prostate Cancer", "Prostatic hyperplasia", "Prostate hyperplasia", "Prostatitis", "Prostate inflammation", and "Male Accessory Gland Infections". Furthermore, a list of the top 50 researchers sorted by productivity was created for each topic. For male infertility, a further search was performed by combining the search term "male infertility" with the above-mentioned terms. Thus, a list of the top 30 authors in order of productivity was also extracted. The graphs were created using Excel. As could be expected, we observed that prostate cancer and male infertility were the two most investigated topics, followed by benign prostatic hyperplasia and erectile dysfunction, whose prevalence is set to increase given the progressive aging of the population. Less investigated is the inflammation of the accessory sexual glands. In conclusion, this study provides a ranking of the main andrological topics investigated in the literature, also presenting the top list of the most productive authors for each one.

Abstract P6-08-06: Uncovering gaps in patient-provider perceptions of triple-negative breast cancer care: Addressing disparities through education-advocacy partnerships

Abstract Background: Providers and patients alike are unaware of the racial disparities that exist in triple-negative breast cancer (TNBC), which occurs at twice the rate in women of the African Diaspora (WAD) compared to White American women. WAD tend to be diagnosed at a more advanced stage, use under-resourced health care settings or encounter bias in their care, and experience higher rates of TNBC-related mortality. An historically difficult-to-treat breast cancer subtype, the TNBC landscape is changing with an influx of clinical data and newly approved treatments. An educational initiative was designed to heighten awareness of new therapies, including antibody drug conjugates, empower patients in their care, and to align on addressing disparities in TNBC care. Methods: Two, 1-hour online, interactive, video-based programs were designed for patients and providers. The patient/caregiver program was hosted on CancerCoachLive in April, 2022 and the provider program on OMedLive in May, 2022 and remains on-demand until May 2023. With a focus on addressing disparities in care, 78% of patients/caregivers attending the patient program were of African descent. The initiative was conducted in collaboration with TOUCH, the Black Breast Cancer Alliance and the National Breast Cancer Foundation. Four real-world patient accounts of TNBC navigation and management were embedded in the patient program; and represented women of Caucasian, African, and Native American ethnicity. While practice and knowledge gaps among HCPs, and knowledge gaps of patients were assessed, we report on the analysis of ‘tethered’, behavioral, practice pattern, and perception questions assessed across the patient and provider programs. Results: As of June 2022, 200 providers and 29,389 patients/caregivers participated in the ongoing activities. Post education, participants in the provider program anticipated the education would positively impact practice behavior (86%) while patients/caregivers reported greater confidence in discussions with their treatment team (92%). Pre- and post-evaluation of strategies addressing disparities revealed improvements in ‘ensuring access to care through integration of care coordinators or social worker as part of the healthcare team.’ Provider assessment of barriers to enrollment in clinical trials uncovered the top barrier as ‘lack of trials at my institution’ (33%) and the top barrier to integration of new therapies as ‘lack of knowledge regarding evidence-based strategies’ (44%). Misalignments in patient-provider perceptions were observed. ‘Patient lack of interest’ was a provider-identified barrier to clinical trials, yet 60% of patients/caregivers reported that they were ‘very likely’ to participate in a clinical trial if eligible. Similarly, differences were seen in the ranking of topics of highest interest regarding treatment decisions. Lastly, patient- vs provider-identified care challenges were not aligned. Themes from the real-world patient accounts provided greater context for the misalignments observed. Conclusions: Assessment and alignment of patient-provider care perceptions has potential to impact clinical practice behaviors, patient/caregiver communication and confidence, and treatment/clinical trial knowledge for effective TNBC management. This educational partnership facilitated assessment of attitudes, perceptions, and barriers to care that can further guide how disparities in care for patients with TNBC are addressed. This ‘tethered’ approach to education was successful in empowering patients in shared decision-making, initializing changes in clinical practice, and gaining patient-provider insights in TNBC management. This activity was supported by an educational grant from Gilead Sciences, Inc Citation Format: Tariqa Ackbarali, Ricki Fairley, Tiffany A. Traina. Uncovering gaps in patient-provider perceptions of triple-negative breast cancer care: Addressing disparities through education-advocacy partnerships [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-08-06.

Vancomycin Flight Simulator: A Team-Based Learning Exercise

Team-based learning (TBL) encourages learners to think critically to solve problems they will face in practice. Pharmacokinetic dosing and monitoring are complex skills requiring the application of learned knowledge. The study sought to assess the impact of a TBL, vancomycin dosing activity in a Pharmaceutical Skills IV course measured with exam question performance during the second professional year. This retrospective, descriptive study relates a TBL activity, assigned to 85 students, which included an individual student pre-preparation quiz, assigned readings, in-class individual and team-based readiness assessments, small group application of a vancomycin patient case, and group discussion/feedback on clinical decisions with supportive reasoning. The class year before and class year of the TBL implementation were compared using the total percentage of points possible earned by the class years, by topic. To minimize potential confounding, the primary outcome was the change in topic performance by the rank difficulty (e.g., the largest possible benefit being the hardest topic becoming the easiest with no other variation in topic rank difficulty). In the year of implementation, the mean individual readiness assurance test (IRAT) performance was 5.5 ± 1.88 (10 points possible, 55%). The mean team readiness assurance test (TRAT) performance was 10 of 10 points possible (100%). The class exam item performance in the year before (n = 101) and year of (n = 84) TBL implementation showed a general decline in exam scores. However, the vancomycin topic difficultly went from fifth easiest, to second easiest, with less than 1% change in raw score. Implementation of a pharmacokinetic TBL activity appeared to moderately support the students' vancomycin learning. Additional studies are warranted on APPE readiness and performance.

How autistic adults' priorities for autism research differ by gender identity: A mixed-methods study.

Recent studies suggest that the funding breakdown of autism research in the United States may not align with stakeholder priorities. Furthermore, the majority of stakeholder-engaged research involves parents of autistic individuals rather than autistic adults themselves, who may have differing perspectives on research and funding priorities. Women and non-binary adults have been historically underrepresented in autism research. The goal of the current study was to examine the autism research priorities of a group of autistic adults, with a particular focus on how these priorities are influenced by one's gender identity. A concurrent mixed-methods design was used for this study. Seventy-one autistic adults (n = 18 men, n = 29 women, n = 24 non-binary adults) completed an online survey regarding the current funding landscape for autism research. Participants ranked the main research topics of the Interagency Autism Coordinating Committee (IACC) and identified top-priority research areas through free-text responses. Response themes were analyzed using content analysis and compared with the existing topic rankings. Overall rankings of IACC research areas had a near inverse relationship with the amount of funding per research area. Main themes of stakeholder-generated research topics included "Characterization," "Societal Change," "Well-Being & Trauma," "Diagnosis & Healthcare," and "Accessibility & Services." There was a relatively high overlap between topics identified by the IACC and by the stakeholder-generated topics. Subtle but important differences in topics arose based on gender, with women and non-binary adults identifying topics that were not identified by autistic men. Unique priorities generated by those typically excluded from autism research development underscore the importance of co-creating research with underrepresented stakeholders impacted by this work. The current study echoes the growing movement in the field of autism research to center autistic perspectives at every stage of research, including the establishment of funding priorities.

Discovering Knowledge-Point Importance From the Learning-Evaluation Data

As students in online courses usually show differences in their cognitive levels and lack communication with teachers, it is difficult for teachers to grasp student perceptions of the importance of knowledge-points and to develop personalized teaching. Though recent studies have paid attention to this topic, existing methods fail to calculate the importance of every knowledge-point for each student. Moreover, some studies are based on expert analysis, are not data-driven, and hence are inapplicable to large-scale online scenarios. To address these issues, this article proposes a personal topic rank (PTR) as a solution, which links students and concepts to generate a personalized knowledge concept map. Then, the authors present a novel PTR method to calculate the importance of knowledge-points, wherein student mastery of knowledge-points, student understanding, and the knowledge-point itself are considered simultaneously. This article conducts extensive experiments on a real-world dataset to demonstrate that the method can achieve better results than baselines.

Barriers to body temperature monitoring among prehospital personnel: a qualitative study using the modified nominal group technique

ObjectivesTo identify and explore barriers that healthcare professionals working as prehospital care (PHC) providers at the University Hospital of North Norway experience with temperature monitoring and discover solutions to these...

RankSum—An unsupervised extractive text summarization based on rank fusion

In this paper, we propose Ranksum, an approach for extractive text summarization of single documents based on the rank fusion of four multi-dimensional sentence features extracted for each sentence: topic information, semantic content, significant keywords, and position. The Ranksum obtains the sentence saliency rankings corresponding to each feature in an unsupervised way followed by the weighted fusion of the four scores to rank the sentences according to their significance. The scores are generated in completely unsupervised way, and a labeled document set is required to learn the fusion weights. Since we found that the fusion weights can generalize to other datasets, we consider the Ranksum as an unsupervised approach. To determine topic rank, we employ probabilistic topic models whereas semantic information is captured using sentence embeddings. To derive rankings using sentence embeddings, we utilize Siamese networks to produce abstractive sentence representation and then we formulate a novel strategy to arrange them in their order of importance. A graph-based strategy is applied to find the significant keywords and related sentence rankings in the document. We also formulate a sentence novelty measure based on bigrams, trigrams, and sentence embeddings to eliminate redundant sentences from the summary. The ranks of all the sentences – computed for each feature – are finally fused to get the final score for each sentence in the document. We evaluate our approach on publicly available summarization datasets — CNN/DailyMail and DUC 2002. Experimental results show that our approach outperforms other existing state-of-the-art summarization methods.

Hierarchical Bayesian classification methods to identify topics by journal quartile with an application in biological sciences

This manuscript builds on a novel, automatic, freely-available Bayesian approach to extract information in abstracts and titles to classify research topics by quartile. This approach is demonstrated for all N= 149,129 ISI-indexed publications in biological sciences journals during 2017. A Bayesian multinomial inverse regression approach is used to extract rankings of topics without the need of a pre-defined dictionary. Bigrams are used for extraction of research topics across manuscripts, and rankings of research topics are constructed by quartile. Worldwide and local results (e.g., comparison between two peer/aspirational research institutions in Colombia) are provided, and differences are explored both at the global and local levels. Some topics persist across quartiles, while the relevance of others is quartile-specific. Challenges in sustainable development appear as more prevalent in top quartile journals across institutions, while the two Colombian institutions favour plant and microorganism research. This approach can reduce information inequities, by allowing young/incipient researchers in biological sciences, especially within lower income countries or universities with limited resources, to freely assess the state of the literature and the relative likelihood of publication in higher impact journals by research topic. This can also serve institutions of higher education to identify missing research topics and areas of competitive advantage.

Models of TV news layout: Different types of marketing narrative

The study focuses on identifying and describing the layout models of leading Ukrainian TV channels, which were formed in 2004–2020 in connection with changes in audience demands, transformations of business models, and mastering the latest technologies. The news release is a marketing narrative about current events, mediated by narrators and language as a sign system. This paper aims to emotionally engage viewers and further communicate with them (including the consumption of television commercials). In 2019–2021, a rhetorical analysis of 531 news issues of the previously created sample of TV channels was performed. The semantic, structural, technological regularities and differences in the news layout are revealed. Based on a set of criteria (principles of selection and ranking of topics, methods of presenting information, broadcasting methods), the layout of the sample news is classified. Then a general description of TV news layout models is made. Five narrative models of the leading Ukrainian TV channels are substantiated: 1) hierarchical layout; 2) standard layout; 3) social layout; 4) stress layout; and 5) mixed layout. These models are related to the implementation of marketing tasks. Their understanding allows deepening the understanding of working with the audience, as well as improving news production in the television business.

Social Media for Health Campaign and Solidarity Among Chinese Fandom Publics During the COVID-19 Pandemic.

Background:As a highly contagious disease, the COVID-19 pandemic has become a serious health threat and psychological burden for the global communities. From the conceptual perspective of affordances, this research examined the role of social media for health campaign and psychological support during the global crisis.Methods:Data from both social media and a nationwide survey were collected and analyzed. Face mask-related posts on Sina Weibo from January 1, 2020, to June 30, 2020, were retrieved and studied. Face mask wearing as a well-established preventive measure was identified and examined from hashtag topics. A nationwide survey with a randomized experiment embedded was conducted to further investigate the mobilizing dynamics.Results:During the escalation phase in the first half of 2020, the hashtag topic “#national mask campaign#,” initiated by a celebrity, topped the ranking of mask-related topics on Weibo. The findings indicated that prevention activities, solidarity expression, and names of celebrity idols were frequently discussed. With celebrity idols as opinion leaders, millions of fandom publics actively participated in this hashtag health campaign. Results of the nationwide survey show the popularity of fan identity, and the experiment results demonstrate the strong mobilizing power of celebrity idol and fandom community in civic engagement and participation among young Chinese.Conclusions:The research demonstrates how the affordances of social media, such as liking, commenting, reposting, and hashtagging can be influential in promoting health behaviors and expressing solidarity. Implications for public health professionals and policymakers to raise awareness and understanding about health campaigns via social media are discussed.

Topic selection process in health technology assessment agencies around the world: a systematic review.

The purpose of this study was to systematically review the process for topic selection by health technology assessment (HTA) agencies around the world to provide the knowledge base for the improvement of topic selection frameworks in HTA agencies. A systematic search was conducted in PubMed and EMBASE to identify papers up to February 2019. Gray literature was identified by screening the Web sites of HTA agencies on the nonprofit member list of the International Network of Agencies for Health Technology Assessment (INAHTA). Data were extracted for each HTA agency and synthesized, with issues including general contextual information about each agency and the process of topic selection. Out of forty-nine nonprofit members of INAHTA, a total of seventeen HTA agencies with a framework for topic selection were identified from twenty-two included papers/documents. Multiple criteria were used for topic selection in all frameworks and agencies undertook multiple steps, which could include the specification of criteria for topic selection, identification of topics, short listing of potential topics, scoping of potential topics, scoring and ranking of potential topics, and deliberation and decision on final topics for HTA. Shortcomings were found in relation to methods of scoring and ranking as well as lack of monitoring and the evaluation of the process. Our study provides insights into the current practice of topic selection in HTA agencies. Multiple criteria decision analysis methodology appears highly relevant to these processes. A consensus approach for the development of methods of topic selection would be valuable for the HTA community.

Question Tagging via Graph-guided Ranking

With the increasing prevalence of portable devices and the popularity of community Question Answering (cQA) sites, users can seamlessly post and answer many questions. To effectively organize the information for precise recommendation and easy searching, these platforms require users to select topics for their raised questions. However, due to the limited experience, certain users fail to select appropriate topics for their questions. Thereby, automatic question tagging becomes an urgent and vital problem for the cQA sites, yet it is non-trivial due to the following challenges. On the one hand, vast and meaningful topics are available yet not utilized in the cQA sites; how to model and tag them to relevant questions is a highly challenging problem. On the other hand, related topics in the cQA sites may be organized into a directed acyclic graph. In light of this, how to exploit relations among topics to enhance their representations is critical. To settle these challenges, we devise a graph-guided topic ranking model to tag questions in the cQA sites appropriately. In particular, we first design a topic information fusion module to learn the topic representation by jointly considering the name and description of the topic. Afterwards, regarding the special structure of topics, we propose an information propagation module to enhance the topic representation. As the comprehension of questions plays a vital role in question tagging, we design a multi-level context-modeling-based question encoder to obtain the enhanced question representation. Moreover, we introduce an interaction module to extract topic-aware question information and capture the interactive information between questions and topics. Finally, we utilize the interactive information to estimate the ranking scores for topics. Extensive experiments on three Chinese cQA datasets have demonstrated that our proposed model outperforms several state-of-the-art competitors.