VLSP SHARED TASK: SENTIMENT ANALYSIS

Sentiment analysis is a natural language processing (NLP) task of identifying orextracting the sentiment content of a text unit. This task has become an active research topic since the early 2000s. During the two last editions of the VLSP workshop series, the shared task on Sentiment Analysis (SA) for Vietnamese has been organized in order to provide an objective evaluation measurement about the performance (quality) of sentiment analysis tools, and encouragethe development of Vietnamese sentiment analysis systems, as well as to provide benchmark datasets for this task. The rst campaign in 2016 only focused on the sentiment polarity classication, with a dataset containing reviews of electronic products. The second campaign in 2018 addressed the problem of Aspect Based Sentiment Analysis (ABSA) for Vietnamese, by providing two datasets containing reviews in restaurant and hotel domains. These data are accessible for research purpose via the VLSP website vlsp.org.vn/resources. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns

Implementing a State‐Adopted High School Health Curriculum: A Case Study

BACKGROUNDThe Michigan Model for Health™ (MMH) is the official health curriculum for the State of Michigan and prevailing policy and practice has encouraged its adoption. Delivering evidence‐based programs such as MMH with fidelity is essential to program effectiveness. Yet, most schools do meet state‐designated fidelity requirements for implementation (delivering 80% or more of the curriculum).METHODSWe collected online survey (N = 20) and in‐person interview (N = 5) data investigating fidelity and factors related to implementation of the MMH curriculum from high school health teachers across high schools in one socioeconomically challenged Michigan county and key stakeholders.RESULTSWe found that 68% of teachers did not meet state‐identified standards of fidelity for curriculum delivery. Our results indicate that factors related to the context and implementation processes (eg, trainings) may be associated with fidelity. Teachers reported barriers to program delivery, including challenges with adapting the curriculum to suit their context, competing priorities, and meeting students’ needs on key issues such as substance use and mental health issues.CONCLUSIONSMultiple factors influence the fidelity of health curriculum delivery in schools serving low‐income students. Investigating these factors guided by implementation science frameworks can inform use of implementation strategies to support and enhance curriculum delivery.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155483/1/josh12892_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155483/2/josh12892.pd

Tracking Assaultâ injured, Drugâ using Youth in Longitudinal Research: Followâ up Methods

ObjectivesViolence is one of the leading causes of death among youth ages 14 to 24. Hospitalâ and emergency department (ED)â based violence prevention programs are increasingly becoming a critical part of public health efforts; however, evaluation of prevention efforts is needed to create evidenceâ based best practices. Retention of study participants is key to evaluations, although little literature exists regarding optimizing followâ up methods for violently injured youth. This study aims to describe the methods for retention in youth violence studies and the characteristics of hardâ toâ reach participants.MethodsThe Flint Youth Injury (FYI) Study is a prospective study following a cohort of assaultâ injured, drugâ using youth recruited in an urban ED, and a comparison population of drugâ using youth seeking medical or nonâ violenceâ related injury care. Validated survey instruments were administered at baseline and four followâ up time points (6, 12, 18, and 24 months). Followâ up contacts used a variety of strategies and all attempts were coded by type and level of success. Regression analysis was used to predict contact difficulty and followâ up interview completion at 24 months.ResultsA total of 599 patients (ages 14â 24) were recruited from the ED (mean ± SD age = 20.1 ± 2.4 years, 41.2% female, 58.2% African American), with followâ up rates at 6, 12, 18, and 24 months of 85.3%, 83.7% 84.2%, and 85.3%, respectively. Participant contact efforts ranged from two to 53 times per followâ up time frame to complete a followâ up appointment, and more than 20% of appointments were completed off site at community locations (e.g., participantsâ homes, jail/prison). Participants who were younger (p < 0.05) and female (p < 0.01) were more likely to complete their 24â month followâ up interview. Participants who sought care in the ED for assault injury (p < 0.05) and had a substance use disorder (p < 0.01) at baseline required fewer contact attempts to complete their 24â month followâ up, while participants reporting a fight within the immediate 3 months before their 24â month followâ up (p < 0.01) required more intensive contact efforts.ConclusionsThe FYI study demonstrated that achieving high followâ up rates for a difficultâ toâ track, violentlyâ injured ED population is feasible through the use of established contact strategies and a variety of interview locations. Results have implications for followâ up strategies planned as part of other violence prevention studies.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146571/1/acem13495_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146571/2/acem13495.pd

A Latent Profile Analysis of Aggression and Victimization across Relationship Types Among Veterans Who Use Substances

Objective: This study examined patterns of violence victimization and aggression in both intimate partner and non-partner relationships among veterans, and used latent profile analysis to identify subtypes of violence involvement. Methods: Participants were 841 substance use treatment-seeking veterans (94% male) from a large VA Medical Center who completed screening measures for a randomized controlled trial. Self-report measures were: substance use, legal problems, depression, and violence involvement. Results: Past year violence involvement, including both intimate partner (IPV) and non-partner (NPV) were common in the sample; although NPV occurred at somewhat higher rates. When including either IPV or NPV aggression or victimization, over 48% reported involvement with physical violence, 31% with violence involving injury and 86% with psychological aggression. Latent profile analysis including both aggression and victimization in partner and non-partner relationships indicated a four profile solution: no-low violence (NLV, n = 701), predominantly IPV (n = 35), predominantly NPV (n = 83), and high general violence (HGV, n = 22). Multinomial logistic regression analyses revealed that compared to the no-low violence group, the remaining three groups differed in demographics, depressive symptoms, alcohol and other drug use, and legal involvement. Individuals within each profile had different patterns of substance use and legal involvement with the participants with an HGV profile reporting the most legal problems. Conclusions: IPV and NPV are relatively common among veterans seeking substance use treatment. Characteristics of violence and associated substance use, mental health, and legal difficulties may be useful in considering how to tailor substance use and mental health services

VLSP Shared Task: Named Entity Recognition

Named entities (NE) are phrases that contain the names of persons, organizations, locations, times and quantities, monetary values, percentages, etc. Named Entity Recognition (NER) is the task of recognizing named entities in documents. NER is an important subtask of Information Extraction, which has attracted researchers all over the world since 1990s. For Vietnamese language, although there exists some research projects and publications on NER task before 2016, no systematic comparison of the performance of NER systems has been done. In 2016, the organizing committee of the VLSP workshop decided to launch the first NER shared task, in order to get an objective evaluation of Vietnamese NER systems and to promote the development of high quality systems. As a result, the first dataset with morpho-syntactic and NE annotations has been released for benchmarking NER systems. At VLSP 2018, the NER shared task has been organized for the second time, providing a bigger dataset containing texts from various domains, but without morpho-syntactic annotation. These resources are available for research purpose via the VLSP website vlsp.org.vn/resources. In this paper, we describe the datasets as well as the evaluation results obtained from these two campaigns

Providing High-Quality Care for Limited English Proficient Patients: The Importance of Language Concordance and Interpreter Use

Background: Provider–patient language discordance is related to worse quality care for limited English proficient (LEP) patients who speak Spanish. However, little is known about language barriers among LEP Asian-American patients. Objective: We examined the effects of language discordance on the degree of health education and the quality of interpersonal care that patients received, and examined its effect on patient satisfaction. We also evaluated how the presence/absence of a clinic interpreter affected these outcomes. Design: Cross-sectional survey, response rate 74%. Participants: A total of 2,746 Chinese and Vietnamese patients receiving care at 11 health centers in 8 cities. Measurements: Provider–patient language concordance, health education received, quality of interpersonal care, patient ratings of providers, and the presence/absence of a clinic interpreter. Regression analyses were used to adjust for potential confounding. Results: Patients with language-discordant providers reported receiving less health education (β = 0.17, p &lt; 0.05) compared to those with language-concordant providers. This effect was mitigated with the use of a clinic interpreter. Patients with language-discordant providers also reported worse interpersonal care (β = 0.28, p &lt; 0.05), and were more likely to give low ratings to their providers (odds ratio [OR] = 1.61; CI = 0.97–2.67). Using a clinic interpreter did not mitigate these effects and in fact exacerbated disparities in patients’ perceptions of their providers. Conclusion: Language barriers are associated with less health education, worse interpersonal care, and lower patient satisfaction. Having access to a clinic interpreter can facilitate the transmission of health education. However, in terms of patients’ ratings of their providers and the quality of interpersonal care, having an interpreter present does not serve as a substitute for language concordance between patient and provider

Stem cell-based therapy for human diseases

Recent advancements in stem cell technology open a new door for patients suffering from diseases and disorders that have yet to be treated. Stem cell-based therapy, including human pluripotent stem cells (hPSCs) and multipotent mesenchymal stem cells (MSCs), has recently emerged as a key player in regenerative medicine. hPSCs are defined as self-renewable cell types conferring the ability to differentiate into various cellular phenotypes of the human body, including three germ layers. MSCs are multipotent progenitor cells possessing self-renewal ability (limited in vitro) and differentiation potential into mesenchymal lineages, according to the International Society for Cell and Gene Therapy (ISCT). This review provides an update on recent clinical applications using either hPSCs or MSCs derived from bone marrow (BM), adipose tissue (AT), or the umbilical cord (UC) for the treatment of human diseases, including neurological disorders, pulmonary dysfunctions, metabolic/endocrine-related diseases, reproductive disorders, skin burns, and cardiovascular conditions. Moreover, we discuss our own clinical trial experiences on targeted therapies using MSCs in a clinical setting, and we propose and discuss the MSC tissue origin concept and how MSC origin may contribute to the role of MSCs in downstream applications, with the ultimate objective of facilitating translational research in regenerative medicine into clinical applications. The mechanisms discussed here support the proposed hypothesis that BM-MSCs are potentially good candidates for brain and spinal cord injury treatment, AT-MSCs are potentially good candidates for reproductive disorder treatment and skin regeneration, and UC-MSCs are potentially good candidates for pulmonary disease and acute respiratory distress syndrome treatment

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead