A simulated 'sandbox' for exploring the modifiable areal unit problem in aggregation and disaggregation.

We present a spatial testbed of simulated boundary data based on a set of very high-resolution census-based areal units surrounding Guadalajara, Mexico. From these input areal units, we simulated 10 levels of spatial resolutions, ranging from levels with 5,515-52,388 units and 100 simulated zonal configurations for each level - totalling 1,000 simulated sets of areal units. These data facilitate interrogating various realizations of the data and the effects of the spatial coarseness and zonal configurations, the Modifiable Areal Unit Problem (MAUP), on applications such as model training, model prediction, disaggregation, and aggregation processes.

Phytochemical and biological investigations on Centranthus kellereri (Stoj., Stef. & T. Georgiev) Stoj. & Stef. and C. ruber (L.) DC. and their potential as new medicinal and ornamental plants.

Introduction: Centranthus kellereri is a Bulgarian endemic plant species, found only in two locations in the world: The Balkans Mountains (Stara Planina), above the town of Vratsa, and The Pirin Mountains, above the town of Bansko, Bulgaria. Being endemic and endangered species precluded any significant research on it. The hypothesis of this study was that the populations of C.

Industrial impact on sustainable dairy farms: Essential elements, hazardous metals and polycyclic aromatic hydrocarbons in forage and cow's milk.

Sustainable dairy farms are characterised by the self-production of forage for animal feed. These farms are sometimes located near industrial areas, entailing a risk of food chain contamination with hazardous metals and polycyclic aromatic hydrocarbons (PAHs). Accordingly, evaluating the impact of pollution on forage and milk is of great interest.

Implementation of a Mobile Application in Acute Stroke Care Documentation.

Acute stroke care is a time-critical process. Improving communication and documentation process may support a positive effect on medical outcome. To achieve this goal, a new system using a mobile application has been integrated into existing infrastructure at Hannover Medical School (MHH).

The shame of implicit racial bias.

This study provides support for the theory that individual shame prevents individuals from recognizing their implicit racial biases. Participants across two studies in multiple conditions took the Race IAT, received feedback about their implicit racial bias, and then completed the Shame IAT. We created various conditions either to attribute their implicit racial bias to the self or to create an alternative explanation.

Wildlife impacts and changing climate pose compounding threats to human food security.

High-level policy debates surrounding elephant management often dominate global conservation headlines, yet realities for people living with wildlife are not adequately incorporated into policymaking or evident in related discourse. Human health and livelihoods can be severely impacted by wildlife and indirectly by policy outcomes. In landscapes where growing human and elephant (Loxodonta spp.

The neuroscience of empathy and compassion in pro-social behavior.

Research in the scientific literature increasingly demonstrates that empathy consists of multiple dimensions, and that defining empathy as a single encompassing term may be imprecise. Recent calls have been made for increasing empathy as means to increase pro-social behavior. However, contradictory evidence exists that empathy may reduce pro-social behavior.

A nanodomain-anchored scaffolding complex is required for the function and localization of phosphatidylinositol 4-kinase alpha in plants.

Phosphoinositides are low-abundant lipids that participate in the acquisition of membrane identity through their spatiotemporal enrichment in specific compartments. Phosphatidylinositol 4-phosphate (PI4P) accumulates at the plant plasma membrane driving its high electrostatic potential, and thereby facilitating interactions with polybasic regions of proteins. PI4Kα1 has been suggested to produce PI4P at the plasma membrane, but how it is recruited to this compartment is unknown.

Inducible depletion of PI(4,5)P by the synthetic iDePP system in Arabidopsis.

Phosphatidylinositol 4,5-bisphosphate (PI(4,5)P) is a low-abundance membrane lipid essential for plasma membrane function. In plants, mutations in phosphatidylinositol 4-phosphate (PI4P) 5-kinases (PIP5K) suggest that PI(4,5)P production is involved in development, immunity and reproduction. However, phospholipid synthesis is highly intricate.

Measuring the contribution of built-settlement data to global population mapping.

Top-down population modelling has gained applied prominence in public health, planning, and sustainability applications at the global scale. These top-down population modelling methods often rely on remote-sensing (RS) derived representation of the built-environment and settlements as key predictive covariates. While these RS-derived data, which are global in extent, have become more advanced and more available, gaps in spatial and temporal coverage remain.

Depressive disorders in Thai medical students: an exploratory study of institutional, cultural, and individual factors.

Objectives: This exploratory qualitative study conducted among Thai medical students aimed to investigate factors related to the development of medical students' depression and how these factors interact in contributing to depressive disorders.

Methods: Forty-three undergraduate medical students of the six-year Doctor of Medicine program were identified as having moderate to severe depression on an annual depression screening. From these, eighteen students agreed to participate in individual in-depth interviews.

Cyber Stalking, Cyber Harassment, and Adult Mental Health: A Systematic Review.

As Internet use increases, there is a growing risk of online harms, including cyber stalking and cyber harassment. However, there has been limited research investigating the impact of such online harms upon adults' well-being. This article engages in a systematic literature review concerning the mental health impact of online stalking and harassment for adult victims to further understand their experiences and the effects these have on their lives.

Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions.

Methods and technologies enabling the estimation at large scale of important traits for the dairy sector are of great interest. Those phenotypes are necessary to improve herd management, animal genetic evaluation, and milk quality control. In the recent years, the research was very active to predict new phenotypes from the mid-infrared (MIR) analysis of milk.

Termination in integrated primary care behavioral health.

Termination with patients in integrated primary care behavioral health (IPCBH) is driven by elements that are present in other psychotherapies but more strongly emphasized under the primary care model. All treatments are, by design, time limited, and require transparent communication and almost immediate preparation for termination. Because treatment occurs within a primary care relationship, however, termination conveys a different message than it does in other settings-the conclusion of an episode, but not of a treatment relationship.

Wildlife impacts and vulnerable livelihoods in a transfrontier conservation landscape.

Interactions between humans and wildlife resulting in negative impacts are among the most pressing conservation challenges globally. In regions of smallholder livestock and crop production, interactions with wildlife can compromise human well-being and motivate negative sentiment and retaliation toward wildlife, undermining conservation goals. Although impacts may be unavoidable when human and wildlife land use overlap, scant large-scale human data exist quantifying the direct costs of wildlife to livelihoods.

Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night.

Mapping urban features/human built-settlement extents at the annual time step has a wide variety of applications in demography, public health, sustainable development, and many other fields. Recently, while more multitemporal urban features/human built-settlement datasets have become available, issues still exist in remotely-sensed imagery due to spatial and temporal coverage, adverse atmospheric conditions, and expenses involved in producing such datasets. Remotely-sensed annual time-series of urban/built-settlement extents therefore do not yet exist and cover more than specific local areas or city-based regions.

Impacts of polystyrene microplastics on Daphnia magna: A laboratory and a mesocosm study.

Most research into microplastics (MPs) in freshwaters has concentrated on measurements under controlled conditions without any link to the natural environment. Here we studied the effects of a 15 μm polystyrene MP on Daphnia magna survival, growth, and reproduction in the laboratory. We also exposed fifteen 25 L freshwater mesocosms to a high concentration of the same MPs.

Missing millions: undercounting urbanization in India.

The measurement and characterization of urbanization crucially depends upon defining what counts as urban. The government of India estimates that only 31% of the population is urban. We show that this is an artifact of the definition of urbanity and an underestimate of the level of urbanization in India.

Future doctors' perspectives on health professionals' responsibility regarding nutrition care and why doctors should learn about nutrition: A qualitative study.

Background: Improved dietary and nutrition behavior may help reduce the occurrence of noncommunicable diseases which have become global public health emergencies in recent times. However, doctors do not readily provide nutrition counseling to their patients. We explored medical students' perspectives on health professionals' nutrition care responsibility, and why doctors should learn about nutrition and provide nutrition care in the general practice setting.

Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets.

Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multi-temporal scales. This is in support of measurement and monitoring of UN Sustainable Development Goals and related agendas.

Correction to: Exploring burnout and the association with the educational climate in pediatric residents in Thailand.

Following publication of the original article.

Exploring burnout and the association with the educational climate in pediatric residents in Thailand.

Background: This study, undertaken in Bangkok, Thailand, explored the extent to which paediatric residents in a non-Western setting experienced burnout and the potential association with factors in the medical educational climate and work-related quality of life.

Methods: An exploratory sequential mixed methods design was employed in a cross-sectional study. The initial, quantitative phase used the validated Maslach Burnout Inventory, the Postgraduate Hospital Educational Environmental Measure (PHEEM) and Work-Related Quality of Life scale (WRQoL).

Malaria in Eritrean migrants newly arrived in seven European countries, 2011 to 2016.

Global migration has resulted in a large number of asylum applications in Europe. In 2014, clusters of cases were reported among newly arrived Eritreans. This study aimed to assess malaria among Eritrean migrants in Europe from 2011 to 2016.

Evaluating nighttime lights and population distribution as proxies for mappinganthropogenic CO emission in Vietnam, Cambodia and Laos.

Tracking spatiotemporal changes in GHG emissions is key to successful implementation of the United Nations Framework Convention on Climate Change (UNFCCC). And while emission inventories often provide a robust tool to track emission trends at the country level, subnational emission estimates are often not reported or reports vary in robustness as the estimates are often dependent on the spatial modeling approach and ancillary data used to disaggregate the emission inventories. Assessing the errors and uncertainties of the subnational emission estimates is fundamentally challenging due to the lack of physical measurements at the subnational level.