The process of postmerger integration : a review and agenda for future research

Mergers and acquisitions (M&As) continue to be prevalent despite frequently yielding disappointing outcomes. Postmerger integration plays a critical role in M&A success, yet many questions about M&A implementation remain unanswered. In this article, we review research on postmerger integration, which we organize around strategic integration, sociocultural integration, and experience and learning. We then lay out a research agenda that centers on expanding our understanding of processual dynamics in postmerger integration. We focus on opportunities related to temporality, decision-making, practices and tools, and emotionality

The brain's kryptonite : overview of punctate white matter lesions in neonates

With increasing advances in the field of medical brain imaging, the known spectrum of white matter lesions hasexpanded, and we can now assess the presence of punctate white matter lesions (PWML). These focal smalllesions are quite frequently detected in the preterm infant and in full-term infants with congenital heart mal-formations with, some studies reporting a link between these lesions and adverse long-term outcomes. Theetiology of PWML has sparked a lot of questions over the years, some of which still remain unanswered. Thisnarrative review will bring an overview of current knowledge and their significant clinical importance in thenewborn brain

Humor and Laughter may Influence Health. I. History and Background

Articles in both the lay and professional literature have extolled the virtues of humor, many giving the impression that the health benefits of humor are well documented by the scientific and medical community. The concept that humor or laughter can be therapeutic goes back to biblical times and this belief has received varying levels of support from the scientific community at different points in its history. Current research indicates that using humor is well accepted by the public and is frequently used as a coping mechanism. However, the scientific evidence of the benefits of using humor on various health related outcomes still leaves many questions unanswered

Children's Media Use and Sleep Problems: Issues and Unanswered Questions

Reviews research on the potential effect of new trends in children's media use on sleep and the effect of inadequate sleep on attention, learning, cognitive development, and psychiatric and physical health. Discusses implications and unanswered questions

Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability

Modern grid monitoring equipment enables utilities to collect detailed records of power interruptions. These data are aggregated to compute publicly reported metrics describing high-level characteristics of grid performance. The current work explores the depth of insights that can be gained from public data, and the implications of losing visibility into heterogeneity in grid performance through aggregation. We present an exploratory analysis examining three years of high-resolution power interruption data collected by archiving information posted in real-time on the public-facing website of a utility in the Western United States. We report on the size, frequency and duration of individual power interruptions, and on spatio-temporal variability in aggregate reliability metrics. Our results show that metrics of grid performance can vary spatially and temporally by orders of magnitude, revealing heterogeneity that is not evidenced in publicly reported metrics. We show that limited access to granular information presents a substantive barrier to conducting detailed policy analysis, and discuss how more widespread data access could help to answer questions that remain unanswered in the literature to date. Given open questions about whether grid performance is adequate to support societal needs, we recommend establishing pathways to make high-resolution power interruption data available to support policy research.Comment: Journal submission (in review), 22 pages, 8 figures, 1 tabl

What Are People Asking About COVID-19? A Question Classification Dataset

We present COVID-Q, a set of 1,690 questions about COVID-19 from 13 sources, which we annotate into 15 question categories and 207 question clusters. The most common questions in our dataset asked about transmission, prevention, and societal effects of COVID, and we found that many questions that appeared in multiple sources were not answered by any FAQ websites of reputable organizations such as the CDC and FDA. We post our dataset publicly at https://github.com/JerryWei03/COVID-Q. For classifying questions into 15 categories, a BERT baseline scored 58.1% accuracy when trained on 20 examples per category, and for a question clustering task, a BERT + triplet loss baseline achieved 49.5% accuracy. We hope COVID-Q can help either for direct use in developing applied systems or as a domain-specific resource for model evaluation.Comment: Published in Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 202

Language Use Matters: Analysis of the Linguistic Structure of Question Texts Can Characterize Answerability in Quora

Quora is one of the most popular community Q&A sites of recent times. However, many question posts on this Q&A site often do not get answered. In this paper, we quantify various linguistic activities that discriminates an answered question from an unanswered one. Our central finding is that the way users use language while writing the question text can be a very effective means to characterize answerability. This characterization helps us to predict early if a question remaining unanswered for a specific time period t will eventually be answered or not and achieve an accuracy of 76.26% (t = 1 month) and 68.33% (t = 3 months). Notably, features representing the language use patterns of the users are most discriminative and alone account for an accuracy of 74.18%. We also compare our method with some of the similar works (Dror et al., Yang et al.) achieving a maximum improvement of ~39% in terms of accuracy.Comment: 1 figure, 3 tables, ICWSM 2017 as poste

Food Purchasing Habits of Participants in the Supplemental Nutrition Assistance Program (SNAP) Among Shelby County, Tennessee Residents

The supplemental Nutrition Assistance Program (SNAP) is a government entitlement program that provides monetary assistance for participants to consistently acquire adequate food. Many unanswered questions remain regarding nutrition quality of SNAP purchases. Eighty-four SNAP participants were surveyed at food pantries throughout Shelby County, TN to obtain a descriptive analysis of participant purchasing habits. The majority of households received $150 or less per month in benefits, which were spent most frequently at convenience stores (n=42) and in bakeries/delis (n=44). 77% (n=65) of participants reported experiencing times while utilizing SNAP benefits where there was not enough food to feed his/her family. Meat products were the most expensive items participants purchased and also the items participants most frequently cited desires to have more money to purchase. Regionally tailored nutrition interventions for the future include greater access to food pantries in conjunction with encouraging local plant-based protein options to improve dietary quality