Filling the Gaps in Civil Society The Role of the Catholic Church in Latin American Democratization

In this paper, we seek to draw lessons about the roles that religious institutions can play in promoting democracy in deeply divided societies by examining the experience of the Catholic Church in Latin America. We focus on the cases of Chile and El Salvador, two countries where the Catholic Church played a decisive role in advancing democracy after autocratic military rule. These two cases illustrate where theology and action productively promoted social change in highly conflictual societies. We note challenges to democracy in the region, but also new opportunities in the era of the first Latin American pope, Francis

Returning Students in Engineering Education: Making a Case for “Experience Capital”

Students returning to college are not generally studied, where most of the research on non-traditional students is focused on individuals returning to earn their undergraduate degree. There are, however, many students returning to receive graduate degrees as they pursue new directions in life by interest or economic necessity. Undergraduate students with experience have clear educational related goals, practical approaches to problem-solving, and high learning motivation.Returning graduate students are expected to model similar behaviors. These individuals bring a lifetime of personal and professional expertise, which we identify as “experience capital.”A review of the literature reveals that capital has been pondered since early western philosophers considered the concept of social capital in terms of „community governance‟. Others credit Dewey with the first use of the term „social capital‟. Since then, development of other capitals include human, cultural, and symbolic. Human capital is viewed as knowledge, skills, and attributes; cultural capital as an indicator of class position acquired by family and education ; and symbolic as the prestige, recognition, and fame. Today, social capital is viewed as the networks,relationships, and connections of influence and support. Experience capital is the partial union of social, human, cultural, and symbolic capital, which individuals develop from their persona land professional experiences as they progress through life.This is an exploratory study capturing the perceptions of “experience capital” of individuals with several years of professional experience in their discipline returning for a doctoral degree in engineering education. The research question this study addresses is: what “experience capital”do returning students bring to an engineering education doctoral program? The participants will be interviewed; open coding will be used to identify common themes. The results of this qualitative study will position the experiences of the participants at the partial union of social,human, cultural, and symbolic capital, in a space called experience capital

2D Signal Estimation for Sparse Distributed Target Photon Counting Data

In this study, we explore the utilization of maximum likelihood estimation for the analysis of sparse photon counting data obtained from distributed target lidar systems. Specifically, we adapt the Poisson Total Variation processing technique to cater to this application. By assuming a Poisson noise model for the photon count observations, our approach yields denoised estimates of backscatter photon flux and related parameters. This facilitates the processing of raw photon counting signals with exceptionally high temporal and range resolutions (demonstrated here to 50 Hz and 75 cm resolutions), including data acquired through time-correlated single photon counting, without significant sacrifice of resolution. Through examination involving both simulated and real-world 2D atmospheric data, our method consistently demonstrates superior accuracy in signal recovery compared to the conventional histogram-based approach commonly employed in distributed target lidar applications

Tunnel vision, false memories, and intrusive memories following exposure to the Trier Social Stress Test

Most research examining the impact of stress on learning and memory has exposed participants to a stressor and measured how it affects learning and memory for unrelated material (e.g., list of words). Such work has been helpful, but it has not been the most translational to the human condition. When considering phenomena such as intrusive memories in post-traumatic stress disorder (PTSD) or an eyewitness\u27s memory for a crime, it is most useful to know what an individual remembers about the stress experience itself, not unrelated information. In prior work, investigators used a modified version of the Trier Social Stress Test (TSST) to quantify participant memory for the stressor. We aimed to replicate this work by examining participant memory for the TSST and extend on it by quantifying false and intrusive memories that result from TSST exposure. Forty-six undergraduate students from Ohio Northern University were exposed to the TSST or the friendly-TSST (f-TSST). The TSST required participants to deliver a ten-minute speech in front of two lab panel members as part of a mock job interview; the f-TSST required participants to casually converse with the panel members about their interests and hobbies. In both conditions, the panel members interacted with (central) or did not interact with (peripheral) several objects sitting on a desk in front of them. Participants’ anxiety levels were assessed before and after the TSST or f-TSST, and saliva samples were collected to assay for cortisol. The next day, participants’ memory for the objects that were present on Day 1 was assessed with recall and recognition tests. We also quantified participants’ intrusive memories for each task by having them complete an intrusive memory questionnaire on Days 2, 4, 6, and 8. Participants exposed to the TSST exhibited greater recall of central objects than participants exposed to the f-TSST. There were no differences observed for the recall of peripheral objects or for recognition memory. Interestingly, TSST exposure increased false recall in males, but reduced it in females. Females exposed to the TSST also showed greater evidence of intrusive memories than males exposed to the TSST. Consistent with prior work, these findings show that stress enhances memory for the central details of a stressful experience. They also extend on prior work by showing that stressful experiences sex-dependently impact the manifestation of false and intrusive memories. This is the first study of which we are aware to quantify intrusive memory formation with the TSST; the modified TSST paradigm may be useful in understanding differential susceptibility to intrusive memory formation and the development of PTSD

PyCogent: a toolkit for making sense from sequence

The COmparative GENomic Toolkit, a framework for probabilistic analyses of biological sequences, devising workflows and generating publication quality graphics, has been implemented in Python

Solution structural characterization of an array of nanoscale aqueous inorganic Ga₁₃₋[subscript]xIn[subscript]x (0 ≤ x ≤ 6) clusters by ¹H-NMR and QM computations

NMR spectroscopy is the go-to technique for determining the solution structures of organic, organometallic, and even macromolecular species. However, structure determination of nanoscale aqueous inorganic clusters by NMR spectroscopy remains an unexplored territory. The few hydroxobridged inorganic species well characterized by ¹H Nuclear Magnetic Resonance spectroscopy (¹H-NMR) do not provide enough information for signal assignment and prediction of new samples. ¹H-NMR and quantum mechanical (QM) computations were used to characterize the NMR spectra of the entire array of inorganic flat-Ga₁₃-[subscript]xIn[subscript]x (0 ≤ x ≤ 6) nanoscale clusters in solution. A brief review of the known signals for μ₂-OH and μ₃-OH bridges gives expected ranges for certain types of protons, but does not give enough information for exact peak assignment. Integration values and NOESY data were used to assign the peaks of several cluster species with simple ¹H-NMR spectra. Computations agree with these hydroxide signal assignments and allow for assignment of the complex spectra arising from the remaining cluster species. This work shows that ¹H-NMR spectroscopy provides a variety of information about the solution behavior of inorganic species previously thought to be inaccessible by NMR due to fast ligand and/or proton exchange in wet solvents.This is the publisher’s final pdf. The published article is copyrighted by Royal Society of Chemistry and can be found at: http://pubs.rsc.org/en/Journals/JournalIssues/SC#!recentarticles&ad

Solution-verified reliability analysis and design of bistable MEMS using error estimation and adaptivity.

This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient

Dysfunction in the βII Spectrin-Dependent Cytoskeleton Underlies Human Arrhythmia.

Background: The cardiac cytoskeleton plays key roles in maintaining myocyte structural integrity in health and disease. In fact, human mutations in cardiac cytoskeletal elements are tightly linked with cardiac pathologies including myopathies, aortopathies, and dystrophies. Conversely, the link between cytoskeletal protein dysfunction in cardiac electrical activity is not well understood, and often overlooked in the cardiac arrhythmia field. Methods and Results: Here, we uncover a new mechanism for the regulation of cardiac membrane excitability. We report that βII spectrin, an actin-associated molecule, is essential for the post-translational targeting and localization of critical membrane proteins in heart. βII spectrin recruits ankyrin-B to the cardiac dyad, and a novel human mutation in the ankyrin-B gene disrupts the ankyrin-B/βII spectrin interaction leading to severe human arrhythmia phenotypes. Mice lacking cardiac βII spectrin display lethal arrhythmias, aberrant electrical and calcium handling phenotypes, and abnormal expression/localization of cardiac membrane proteins. Mechanistically, βII spectrin regulates the localization of cytoskeletal and plasma membrane/sarcoplasmic reticulum protein complexes that include the Na/Ca exchanger, RyR2, ankyrin-B, actin, and αII spectrin. Finally, we observe accelerated heart failure phenotypes in βII spectrin-deficient mice. Conclusions: Our findings identify βII spectrin as critical for normal myocyte electrical activity, link this molecule to human disease, and provide new insight into the mechanisms underlying cardiac myocyte biology

Proceedings of Patient Reported Outcome Measure’s (PROMs) Conference Oxford 2017: Advances in Patient Reported Outcomes Research

A33-Effects of Out-of-Pocket (OOP) Payments and Financial Distress on Quality of Life (QoL) of People with Parkinson’s (PwP) and their Carer