scholarly journals Espacios de estancia prolongada para la población migrante centroamericana en tránsito por México

2021 ◽  
Vol 33 ◽  
pp. 1-34
Author(s):  
Rosalba Jasso Vargas

The objective of this article is to identify the main areas where Central American migrants spend most of their time during their transit through Mexico. The theoretical framework reviews the mobility-immobility and aspiration/ability approaches that focus on mobility restrictions and waiting times. The definition of waiting territories and the inclusion of the length of stay variable contribute to the study of transit migration from the perspective of immobility. Using the Migration Survey in the Northern Border (Emif Sur), the magnitude of displacements through the reported areas by migrants is estimated as having the longest length of stay in their migratory displacement. Long-term transit spaces correspond to different border regions and locations close to migratory routes. The provided empirical evidence indirectly suggests obstacles to mobility manifested in long- term transit spaces.

2014 ◽  
Vol 76 ◽  
pp. 15-23
Author(s):  
Barrie J. Wills

A warm welcome to our "World of Difference" to all delegates attending this conference - we hope your stay is enjoyable and that you will leave Central Otago with an enhanced appreciation of the diversity of land use and the resilient and growing economic potential that this region has to offer. Without regional wellbeing the national economy will struggle to grow, something Central Government finally seems to be realising, and the Central Otago District Council Long Term Plan 2012-2022 (LTP) signals the importance of establishing a productive economy for the local community which will aid in the economic growth of the district and seeks to create a thriving economy that will be attractive to business and residents alike. Two key principles that underpin the LTP are sustainability and affordability, with the definition of sustainability being "… development that meets the needs of the present without compromising the ability of future generations to meet their own needs."


Author(s):  
Tai-Yuan Chen ◽  
Kai Wai Hui ◽  
Steven R. Matsunaga ◽  
Yong Zhang

Author(s):  
Takis S. Pappas

Based on an original definition of modern populism as “democratic illiberalism” and many years of meticulous research, Takis Pappas marshals extraordinary empirical evidence from Argentina, Greece, Peru, Italy, Venezuela, Ecuador, Hungary, the United States, Spain, and Brazil to develop a comprehensive theory about populism. He addresses all key issues in the debate about populism and answers significant questions of great relevance for today’s liberal democracy, including: • What is modern populism and how can it be differentiated from comparable phenomena like nativism and autocracy? • Where in Latin America has populism become most successful? Where in Europe did it emerge first? Why did its rise to power in the United States come so late? • Is Trump a populist and, if so, could he be compared best with Venezuela’s Chávez, France’s Le Pens, or Turkey’s Erdoğan? • Why has populism thrived in post-authoritarian Greece but not in Spain? And why in Argentina and not in Brazil? • Can populism ever succeed without a charismatic leader? If not, what does leadership tell us about how to challenge populism? • Who are “the people” who vote for populist parties, how are these “made” into a group, and what is in their minds? • Is there a “populist blueprint” that all populists use when in power? And what are the long-term consequences of populist rule? • What does the expansion, and possibly solidification, of populism mean for the very nature and future of contemporary democracy? Populism and Liberal Democracy will change the ways the reader understands populism and imagines the prospects of liberal democracy.


Author(s):  
Katharina Diehl ◽  
Tatiana Görig ◽  
Charlotte Jansen ◽  
Maike Carola Hruby ◽  
Annette B. Pfahlberg ◽  
...  

Pharmacists and pharmaceutical technicians play an important role in counselling customers regarding sunscreen use and sun protection measures. A potentially helpful tool that can be used during counselling is the ultraviolet index (UVI), which informs individuals when and what sun protection measures are needed at a specific place and time. Our aim in this qualitative study was to explore awareness, knowledge, and use of the UVI during counselling in pharmacies. We used semi-structured interviews with pharmacists and pharmaceutical technicians (n = 20) to answer our research questions. Interviews were audiotaped, transcribed verbatim, and analyzed using qualitative content analysis. During the interviews pharmacists and pharmaceutical technicians revealed a lot of uncertainty and lack of knowledge regarding the UVI. Eight professionals were able to give a correct definition of UVI. Amongst others, the UVI was confused with sun protection factor. Overall, the UVI was hardly used during the counselling of customers. The UVI was developed to provide guidance when which type of sun protection is required to avoid detrimental effects of ultraviolet radiation. For effective implementation, both the general population and health professionals (e.g., pharmacists) have to increase their knowledge about the UVI. This would strengthen its use during professional counselling in pharmacies and may help to reduce the incidence of skin cancer over the long term.


2021 ◽  
Vol 8 ◽  
pp. 237437352110114
Author(s):  
Andrew Nyce ◽  
Snehal Gandhi ◽  
Brian Freeze ◽  
Joshua Bosire ◽  
Terry Ricca ◽  
...  

Prolonged waiting times are associated with worse patient experience in patients discharged from the emergency department (ED). However, it is unclear which component of the waiting times is most impactful to the patient experience and the impact on hospitalized patients. We performed a retrospective analysis of ED patients between July 2018 and March 30, 2020. In all, 3278 patients were included: 1477 patients were discharged from the ED, and 1680 were admitted. Discharged patients had a longer door-to-first provider and door-to-doctor time, but a shorter doctor-to-disposition, disposition-to-departure, and total ED time when compared to admitted patients. Some, but not all, components of waiting times were significantly higher in patients with suboptimal experience (<100th percentile). Prolonged door-to-doctor time was significantly associated with worse patient experience in discharged patients and in patients with hospital length of stay ≤4 days. Prolonged ED waiting times were significantly associated with worse patient experience in patients who were discharged from the ED and in inpatients with short length of stay. Door-to-doctor time seems to have the highest impact on the patient’s experience of these 2 groups.


2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
SR Thangasami ◽  
JS Prajapati ◽  
GL Dubey ◽  
VR Pandey ◽  
PM Shaniswara ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Introduction Advances in the immediate management of ST elevation myocardial infarction (STEMI) have led to a dramatic decline in mortality and reduction in hospital length of stay (LOS). We analysed the prognostic value of selected risk models in STEMI treated with primary percutaneous coronary intervention (PPCI) and to identify additional parameters to strengthen risk scores in categorizing patients for safe early discharge and to identify parameters prolonging hospital stay. Purpose To assess parameters and risk scores to categorize patients for safe early discharge following STEMI and to assess the composite of death, MI, unstable angina (UA), stroke, unplanned hospitalization at the end of 30 days, 6 months and at 1year follow up. Methods The study included 222 patients, who were diagnosed as STEMI, treated with successful pPCI. The risk scores like TIMI score, GRACE score, ZWOLLE score, CADILLAC score were calculated for all patients from the baseline clinical data collected on admission. Routine blood investigations along with Brain natri-uretic peptide (BNP) were done for all patients. The entire cohort was divided into three groups on the basis of length of stay: ≤3 days (n = 150), 4–5 days (n = 47), and &gt;5 days (n = 25). All-cause mortality and major cardiovascular events (MACEs) were assessed up to 1 year. Results The mean age group (yrs) of the study population was 53.92 ± 12.9. Patients in LOS &lt;3 days had a mean age (yrs) of 52.41 ± 11.74, patients in LOS 4-5 days group had 54.19 ±13.59 and patient with LOS &gt;5 days had 62.52 ± 15.32. The most important parameters that predicted hospital stay in our study are BNP levels OR: 1.003, 95% CI: 1.002-1.004, P &lt; 0.001, GRACE score OR: 1.02 ,95% CI: 1.01-1.03, P &lt; 0.001, TIMI score OR: 1.35, 95% CI: 1.18-1.55, P = 0.007, ZWOLLE score OR: 1.26, 95% CI: 1.16-1.37, P &lt; 0.001, CADILLAC score OR: 1.24, 95% CI; 1.15-1.3: P &lt; 0.001. 32 (14.4%) patients expired in the study population. 36% patients of LOS &gt;5 days expired in 1year follow up with maximum mortality in the first 6 months. 56% of the patients in LOS &gt; 5 days had an adverse cardiac event in 1 year follow up. Patients in LOS &gt;5 days had increased event rates in 30 days,6 months and in 1 year follow up. Patients with LOS 4-5 days (30%) had increased event rates than patients in LOS &lt; 3 days (19%).Unadjusted Kaplan Meir survival curves for 1 year mortality among hospital survivors showed a significant increase in mortality at 6 months in length of stay&gt; 5 days group. (P value &lt; 0.001). CONCLUSION Long hospital stay after PCI among patients with STEMI was associated with increased long-term all-cause mortality. Addition of BNP to this risk scores can better predict the course of hospital stay and adverse clinical outcomes in follow up. Long hospital stay may be used as a marker to identify patients at higher risk for long-term mortality. Abstract Figure. Kaplan meir survival curve


2021 ◽  
pp. 003232172110072
Author(s):  
Ramon van der Does ◽  
Vincent Jacquet

Deliberative minipublics are popular tools to address the current crisis in democracy. However, it remains ambiguous to what degree these small-scale forums matter for mass democracy. In this study, we ask the question to what extent minipublics have “spillover effects” on lay citizens—that is, long-term effects on participating citizens and effects on non-participating citizens. We answer this question by means of a systematic review of the empirical research on minipublics’ spillover effects published before 2019. We identify 60 eligible studies published between 1999 and 2018 and provide a synthesis of the empirical results. We show that the evidence for most spillover effects remains tentative because the relevant body of empirical evidence is still small. Based on the review, we discuss the implications for democratic theory and outline several trajectories for future research.


Author(s):  
Pablo Villalobos Dintrans ◽  
Jorge Browne ◽  
Ignacio Madero-Cabib

Abstract Objective Provide a synthesis of the COVID-19 policies targeting older people in Chile, stressing their short- and long-term challenges. Method Critical analysis of the current legal and policy measures, based on national-level data and international experiences. Results Although several policies have been enacted to protect older people from COVID-19, these measures could have important unintended negative consequences in this group’s mental and physical health, as well as financial aspects. Discussion A wider perspective is needed to include a broader definition of health—considering financial scarcity, access to health services, mental health issues, and long-term care—in the policy responses to COVID-19 targeted to older people in Chile.


2021 ◽  
Author(s):  
Lun Ai ◽  
Stephen H. Muggleton ◽  
Céline Hocquette ◽  
Mark Gromowski ◽  
Ute Schmid

AbstractGiven the recent successes of Deep Learning in AI there has been increased interest in the role and need for explanations in machine learned theories. A distinct notion in this context is that of Michie’s definition of ultra-strong machine learning (USML). USML is demonstrated by a measurable increase in human performance of a task following provision to the human of a symbolic machine learned theory for task performance. A recent paper demonstrates the beneficial effect of a machine learned logic theory for a classification task, yet no existing work to our knowledge has examined the potential harmfulness of machine’s involvement for human comprehension during learning. This paper investigates the explanatory effects of a machine learned theory in the context of simple two person games and proposes a framework for identifying the harmfulness of machine explanations based on the Cognitive Science literature. The approach involves a cognitive window consisting of two quantifiable bounds and it is supported by empirical evidence collected from human trials. Our quantitative and qualitative results indicate that human learning aided by a symbolic machine learned theory which satisfies a cognitive window has achieved significantly higher performance than human self learning. Results also demonstrate that human learning aided by a symbolic machine learned theory that fails to satisfy this window leads to significantly worse performance than unaided human learning.


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