© Thieme Medical Publishers.Hearing healthcare outreach in developing countries is ill defined and inundated with sustainability challenges. One method to facilitate sustainable efforts is by training local personnel on certain aspects of hearing healthcare. The purpose of this descriptive study was to identify the challenges and successes of an audio-technician training program conducted in various regions throughout Guatemala. A collaboration was created between Healing the Children, Centro de Audicion, the University of Washington, and Gallaudet University to create a learning environment for Guatemalan audio-technicians and audiology graduate students. Administration of the audio-technician training component of this program began in 2008 and continues today. Challenges and successes were identified around five themes (1) audio-technician recruitment and skills upon entering training program; (2) practical and logistical components of clinical training; (3) collaboration and resources for ongoing care; (4) funding for travel, time, and accommodation for personnel involved in training sessions; and (5) cultural differences surrounding our approach to hearing healthcare and training. Approaches to overcome the barriers identified and future directions are discussed. © Thieme Medical Publishers.The goal of humanitarian healthcare is to improve health outcomes and patient quality of life in under-resourced areas. One avenue for improvement may be via interprofessional collaborative practice, which allows providers from multiple specialties to work together to promote positive interventions for the communities they serve. The purpose of this article is to provide a general framework for incorporating interprofessional collaborative practice within a humanitarian audiology project. © Thieme Medical Publishers.As the travel industry continues to grow, so does the creation and proliferation of voluntourism opportunities offered to individuals who want to impact the lives of populations due to adversities or misfortunes of war, weather, or poverty. A more popular form of tourism for individuals to volunteer professional or personal expertise in a chartable manner is often termed "voluntourism." Unquestionably, there is a lure to volunteer for a short-term experience in exotic lands with the hopes of improving living conditions. This article aims to identify how an individual can move from being a well-meaning voluntourist to an engaged and dedicated humanitarian by following professional ethical principles and etiquette behavior. © Thieme Medical Publishers.This paper studies model selection consistency for high dimensional sparse regression when data exhibits both cross-sectional and serial dependency. Most commonly-used model selection methods fail to consistently recover the true model when the covariates are highly correlated. Motivated by econometric and financial studies, we consider the case where covariate dependence can be reduced through the factor model, and propose a consistency strategy named Factor-Adjusted Regularized Model Selection (FarmSelect). By learning the latent factors and idiosyncratic components and using both of them as predictors, FarmSelect transforms the problem from model selection with highly correlated covariates to that with weakly correlated ones via lifting. Model selection consistency, as well as optimal rates of convergence, are obtained under mild conditions. Numerical studies demonstrate the nice finite sample performance in terms of both model selection and out-of-sample prediction. Moreover, our method is flexible in the sense that it pays no price for weakly correlated and uncorrelated cases. Our method is applicable to a wide range of high dimensional sparse regression problems. An R-package FarmSelect is also provided for implementation.Wall surface temperatures are important components of urban climates but are under-sampled by satellite and airborne remote sensing and at the microscale are under-sampled in observational studies. In urban canopy models, they are represented with simplistic geometries. This study examines the effect of microscale (sub-facet) surface structure geometries on wall surface brightness temperature distributions at micro- to neighbourhood scales using mobile sampling traverses of two suburban neighbourhoods with different sub-facet geometries. Visible and thermal imagery were recorded simultaneously and combined and classified to create a database of temperatures with associated geographic and thermal attributes. https://www.selleckchem.com/products/az628.html This study investigates (1) if sub-facet scale geometries affect temperature distributions, (2) if these cause canyon scale biases, and (3) if there are therefore inter-neighbourhood biases. It is shown that sub-facet geometries modify wall surface temperatures predominantly by cooling due to self-shading. Surface-sun geometry thus leads to intra- and inter-neighbourhood temperature differences of several degrees Celsius. The observed effects have important implications for modelling of urban surface temperatures, where simplified geometries may overestimate wall surface temperatures. © The Author(s) 2020.We formally verify the Berlekamp-Zassenhaus algorithm for factoring square-free integer polynomials in Isabelle/HOL. We further adapt an existing formalization of Yun's square-free factorization algorithm to integer polynomials, and thus provide an efficient and certified factorization algorithm for arbitrary univariate polynomials. The algorithm first performs factorization in the prime field GF ( p ) and then performs computations in the ring of integers modulo p k , where both p and k are determined at runtime. Since a natural modeling of these structures via dependent types is not possible in Isabelle/HOL, we formalize the whole algorithm using locales and local type definitions. Through experiments we verify that our algorithm factors polynomials of degree up to 500 within seconds. © The Author(s) 2019.Global exposures to air pollution and cigarette smoke are novel in human evolutionary history and are associated with about 16 million premature deaths per year. We investigate the history of the human exposome for relationships between novel environmental toxins and genetic changes during human evolution in six phases. Phase I With increased walking on savannas, early human ancestors inhaled crustal dust, fecal aerosols, and spores; carrion scavenging introduced new infectious pathogens. Phase II Domestic fire exposed early Homo to novel toxins from smoke and cooking. Phases III and IV Neolithic to preindustrial Homo sapiens incurred infectious pathogens from domestic animals and dense communities with limited sanitation. Phase V Industrialization introduced novel toxins from fossil fuels, industrial chemicals, and tobacco at the same time infectious pathogens were diminishing. Thereby, pathogen-driven causes of mortality were replaced by chronic diseases driven by sterile inflammogens, exogenous and endogenous.