Nursing Interventions for Intradialtyic Hypotension: Using Blood Volume Monitoring Guided Ultrafiltration

Background: Intradialytic hypotension is a potential complication experienced by patients with end-stage renal disease who receive hemodialysis. This complication occurs during the dialysis treatment in 15-30% of all treatments. The multiple comorbidities that exist in hemodialysis patients predispose them to recurrent intradialytic hypotension episodes. Recurrent intradialytic hypotensive episodes can result in negative short-term and long-term clinical consequences. Short-term consequences include complications such as ischemic events (e.g., heart attacks, strokes), clotting of patient dialysis access, or heart rhythm abnormalities. Long-term consequences include end-organ damage, increased cardiovascular morbidity, and a higher mortality rate. Problem Statement: Available nursing interventions used to treat intradialytic hypotension such as decreased dialysis fluid temperature, changes in the calcium and sodium concentrations in the dialysis fluid and oral medication have limited success. Another existing technological intervention called blood volume monitoring shows greater potential success but is currently underutilized. Purpose: The purpose of this literature review is to synthesize current literature on blood volume monitoring technology used to prevent intradialytic hypotension in hemodialysis patients. Methods: A literature review was conducted analyzing pertinent research articles published in the last ten years, in addition to seminal articles. Seventeen articles were retrieved and analyzed that met criteria. Results: Fourteen of the seventeen research studies reached a consensus on the successful use of blood volume monitoring to decrease intradialytic hypotension and the related symptoms. Conclusion: Results of the literature review support the use of blood volume monitoring technology as an effective nursing intervention to prevent intradialytic hypotension in hemodialysis patients

Social Resilience : Earthquake Consequences to an Intense

Disclosed generally the impact they have caused to the life of society intense seismic activity in the area, especially the tectonic situation of Ecuador and particularized on stage at the coastal territory, given its proximity to the Ring of Fire. a balance of the most intense earthquakes occurred during the twentieth century and at the time of this century and is particularized in the consequences resulting therefrom for society is shown. An analysis related to the vision deployed by the UN related to resilience as a capacity to prevent disasters and crises are addressed, as well as to foresee natural disasters, minimize them, take them into account or recover from them on time and in an efficient and sustainable including protection. The results of an assessment of the resilience evacuees at Camp “Los Tamarindos” Portoviejo city where the SV-RES scale methodology that evaluates twelve dimensions developed offered

Preface

These proceedings contain the papers of the Third International Workshop on Recent Trends in News Informa-tion Retrieval (NewsIR\u201919) held in conjunction with the ACM SIGIR 2019 conference in Paris, France, on the25thof July 2019. Ten full papers and two short papers (one position paper and one demo paper) were selectedby the programme committee from a total of 21 submissions. Each submitted paper was reviewed by at leastthree members of an international programme committee. In addition to the selected papers, the workshopfeatures one keynote and one invited talk. The Keynote speech is given by Aron Pilhofer \u201cFrom Redlining toRobots: How newsrooms apply technology to the craft of journalism\u201d. The invited talk is given by FriedrichLindenberg \u201cMining Leaks and Open Data to Follow the Money\u201d. We would like to thank SIGIR for hostingus. Thanks also go to the keynote speakers, the program committee, the paper authors, and the participants,for without these people there would be no worksho

Prta: A System to Support the Analysis of Propaganda Techniques in the News

Recent events, such as the 2016 US Presidential Campaign, Brexit and the COVID-19 "infodemic", have brought into the spotlight the dangers of online disinformation. There has been a lot of research focusing on fact-checking and disinformation detection. However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages. Revealing the use of such techniques can help promote media literacy and critical thinking, and eventually contribute to limiting the impact of "fake news" and disinformation campaigns.Prta (Propaganda Persuasion Techniques Analyzer) allows users to explore the articles crawled on a regular basis by highlighting the spans in which propaganda techniques occur and to compare them on the basis of their use of propaganda techniques. The system further reports statistics about the use of such techniques, overall and over time, or according to filtering criteria specified by the user based on time interval, keywords, and/or political orientation of the media. Moreover, it allows users to analyze any text or URL through a dedicated interface or via an API. The system is available online: https://www.tanbih.org/prta

Thread-level information for comment classification in community question answering

Community Question Answering (cQA) is a new application of QA in social contexts (e.g., fora). It presents new interesting challenges and research directions, e.g., exploiting the dependencies between the different comments of a thread to select the best answer for a given question. In this paper, we explored two ways of modeling such dependencies: (i) by designing specific features looking globally at the thread; and (ii) by applying structure prediction models. We trained and evaluated our models on data from SemEval-2015 Task 3 on Answer Selection in cQA. Our experiments show that: (i) the thread-level features consistently improve the performance for a variety of machine learning models, yielding state-of-the-art results; and (ii) sequential dependencies between the answer labels captured by structured prediction models are not enough to improve the results, indicating that more information is needed in the joint model

Quality and Reliability of Spanish-language YouTube Videos on Breast Cancer

As the number of Spanish- speaking patients with cancer in the USA grows, it is vital that reliable online breast cancer information is available in Spanish. The main objective of our study was to determine the quality and reliability of online videos in Spanish regarding breast cancer. We conducted a YouTube search using the phrase cancer de mama (breast cancer) and graded their quality and reliability using the Journal of the American Medical Association (JAMA) Benchmark Criteria, Global Quality Score (GQS), and the Modified DISCERN Questionnaire. Videos were characterized by descriptive variables. Videos were primarily from Spain (36.4%) and Mexico (17.9%). ‘professional’ videos had the highest JAMA mean rank (99.53), the highest GQS mean rank (102.86) and the and second- highest DISCERN (101.10) mean rank. ‘Personal’ videos, by contrast, had the lowest mean rank values for GQS (72.28) and DISCERN (68.83) scores. A significant majority of online breast cancer videos in Spanish were of poor quality and reliability. ‘Professional’ videos are of higher quality and reliability than videos of other typologies; however, they have a limited range of content. In addition, a small percentage of videos were uploaded from the USA

A service-learning experience in a free medical centre for undocumented migrants and homeless people

Background: Service-learning experiences, informed by the realities of poverty and marginalization, are important for the education of future health professionals in order to commit them to tackling health inequalities and working with underserved populations. At the Caritas Medical Centre for undocumented migrants and homeless in Rome, students obtain an educational experience of service. The aim of this study is to try to measure the long-term impact of this experience on the professional and life choices of the student participants. Methods: A questionnaire was designed and distributed by email to all 19–29 years old participants in the experience. Responses were collected and analysed in a quantitative descriptive way and in a qualitative way using the knowledge, skills and attitudes model. Results: One hundred and seven students responded from the total 763 questionnaires distributed. Ninety-five percent of participants expressed a very high overall satisfaction, 93% declared that the experience influenced his/her future personal choices, and 84% found that the experience influenced their professional choices. Results were arranged into 6 categories of comments: knowledge about the realities of migration, poverty, and marginalization; relational skills; collaborative skills; attitudes towards migrants, poor people and others; Attitudes towards future professions; Attitudes towards life. A final category was listed with self-reflective questions related to the experience. Conclusion: This research shows the importance of service-learning experiences made during academic studies from young students of medicine and other faculties. Developing a relationship with marginalized and homeless people, within a voluntary service setting, can influence the future professional and personal choices of students. Universities should recognize the value of such experiences and establish partnerships with non-profit organizations to allow future health professionals to confront health inequities and commit themselves to their reduction

Regulation of amyloid-β dynamics and pathology by the circadian clock

Nighttime restlessness and daytime drowsiness are common and early symptoms of Alzheimer\u27s Disease (AD). This symptomology implicates dysfunctional biological timing, yet the role of the circadian system in AD pathogenesis is unknown. To evaluate the role of the circadian clock in amyloid-β (Aβ) dynamics and pathology, we used a mouse model of β-amyloidosis and disrupted circadian clock function either globally or locally in the brain via targeted deletion of the core clock gen

Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 1: Check-Worthiness

We present an overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims, with focus on Task 1: Check-Worthiness. The task asks to predict which claims in a political debate should be prioritized for fact-checking. In particular, given a debate or a political speech, the goal was to produce a ranked list of its sentences based on their worthiness for fact checking. We offered the task in both English and Arabic, based on debates from the 2016 US Presidential Campaign, as well as on some speeches during and after the campaign. A total of 30 teams registered to participate in the Lab and seven teams actually submitted systems for Task 1. The most successful approaches used by the participants relied on recurrent and multi-layer neural networks, as well as on combinations of distributional representations, on matchings claims' vocabulary against lexicons, and on measures of syntactic dependency. The best systems achieved mean average precision of 0.18 and 0.15 on the English and on the Arabic test datasets, respectively. This leaves large room for further improvement, and thus we release all datasets and the scoring scripts, which should enable further research in check-worthiness estimation