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Bats provide many ecosystem services and have intrinsic value. They also act as host reservoirs for some viruses. Several studies have linked zoonotic diseases to bats, raising questions about the risks bats pose, especially to people living close to bat roosts. Through a series of case studies undertaken in three communities, the purpose of this paper is to explore the various ways in which framings and perceptions of bats can influence a potential spillover of bat-borne viruses to humans in Ghana. It assesses the social, cultural and economic factors that drive human-bat interactions and posits that understanding the socio-economic contexts in which human-bat interactions occur is key to the success of future communication strategies.

Primary data collection methods included participatory landscape mappings, transect walks, focus group discussions and questionnaire surveys.

Perceptions of bats vary and are influenced by personal beliefs, the perceived economic benefits derived from bats and the location of bat roosts. Activities that put people at risk include bat hunting, butchering and consumption of poorly prepared bat meat. Those who live and work close to bat roosts, and bat hunters, for example, are more at risk of bat-borne zoonotic disease spillover. Disease risk perceptions were generally low, with high levels of uncertainty, indicating the need for clearer information about personal protective practices.

The results of the study may well inform future risk communication strategies as well as help in developing effective responses to zoonotic disease risk, disease outbreaks and the conservation of bats in communities.

This paper aims to analyse through a bibliometric study the academic literature that relates entrepreneurship to foods.

A database of 1,300 papers published in the ISI Web of Science was generated. The bibliometric techniques allowed us to describe scientific literature evolution, most productive authors, institutions and countries, most relevant sources and documents, trend topics and social structure.

The results illustrate an upward trend, more accentuated in the last four years, in publishing papers relating entrepreneurship to the food industry.

This research is novel because although numerous articles relate the food industry to entrepreneurship, no bibliometric articles that analyse the scientific production that relates both terms have been found in the literature.

Birds are implicated in spoiling and decay of buildings, especially through their droppings. Pigeons are considered the main culprits, and several studies have examined the effects and chemistry of accumulations of droppings without evidence to the exact origins of the source of the excreta. The paper aims to discuss these issues.

This study reviews and summarises the state of knowledge with regard to the impact of bird excreta on buildings. It experimentally assesses the acidity of fresh pigeon excreta with different diets and examines the development of the acidity of the excreta after voiding.

Feral pigeons in urban settings are known to be fed by a range of foods. Urban food scraps-derived diets produce more acidic excreta than more natural diets such as seeds. This is a first study of its kind to examine the impact of a bird’s diet on the pH and thus the resulting (potential) decay of masonry.

This study showed that from a management’s perspective, pigeons that subsist entirely on human provided foods will be depositing more initially acidic faeces. If faecal accumulation occurs; then, mould and other bacteria quickly alter the chemistry from acidic towards basic, but the damage may already be done.

This paper is the first study of its kind to examine the effects of fresh pigeon droppings of known origin and age once voided from the intestine. This allows the authors to assess the impact during the first few days.

The purpose of this paper is to examine significant steps taken by the Pennsylvania State University (Penn State) to account for both energy cost savings and greenhouse gas (GHG) emissions reduction goals through strategic investments in energy conservation measures (ECMs) in campus buildings. Through an analysis of multiple years of investment in facility upgrades across the university, the impacts of ECMs of various types are characterized by building type. The standards and criteria for ECMs investments are also evaluated with the goal to develop a predictive tool to support decision making pertaining to an annual investment in a portfolio of ECMs that will maintain a trajectory to achieve both financial return on investment as well as GHG reduction goals.

This study is comprised of three main parts: analyzing the energy costs saving and GHG emissions reduction contribution of various building types in which ECMs were conducted, analyzing costs saving and GHG emissions reduction contribution of each ECM while considering the average annual investments made in them and estimating the impact of upgrading Penn State’s steam plants from firing a mixture of coal and natural gas to natural gas only on the GHG emissions.

These analyses help identify which types of buildings and ECMs would have larger savings and emissions reduction contributions. A calculator is also created to enable forecasting of costs saving and GHG emissions reduction of investment distribution strategy among ECMs. This study demonstrates that the calculator based on data from previous years will benefit decision makers in more wisely configuring the investment portfolio.

This paper fulfills an identical need to couple energy efficiency strategies coupled with the environmental impacts associated with different fossil fuel energy sources.

The goal of this study was to investigate the co-citation of information security patents in the United States Patent and Trademark Office (USPTO) database.

This research is a scientometrics study that has been conducted using the co-citation analysis. The statistical population of the present study includes all patents of information security filed in the USPTO database from 1971 to 2015. As a result of this search, 30,736 patents were retrieved. In this investigation, UCINET software and its complementary package (NetDraw) were employed to plot scientific maps.

The findings of this study indicated an upward trend of patents in the field of information security between 1971 and 2015. The “California State” has the top world rank in information security inventions, followed by “Japan” and the “Washington State.” “VAN WIE, DAVID M” is the most cited inventor in the field of information security. The analysis of inventors' co-citation data indicated that “ADAMS, NEIL- LITTLE” and “HERBERT ANTHONY” had the highest co-citation rates with each other and were ranked first. The survey of high-citation inventors based on centrality indices indicated that “LEACH, PAUL J” graded first in degree centrality, “BENALOH, JOSH D” in betweenness centrality and “BENALOH, JOSH D” in closeness centrality.

The co-citation analysis of patents can show the most important patents and the relationships between them. Such analyses can be useful for large-scale policymaking or identification of existing gaps and attempting to address them.

Few have studied the relationship between employment and health in the Medicaid population. The purpose of this study is to estimate the impact of job loss on the mental health of working Medicaid beneficiaries.

This study conducted a post hoc analysis of 1,538 adult Medicaid beneficiaries enrolled in a prospective cohort study. The authors matched participants who lost their job to participants who remained employed based on demographics, illness severity and social determinants of health. The authors estimated the effect of job loss on the odds of a diagnosis of depression and/or anxiety and self-reported mental health during a one-year follow-up period, stratified by prior history of depression and/or anxiety as documented in the Medicaid claims.

Among participants with no preexisting depression or anxiety, the incidence of depression or anxiety was 17% versus 7% (aOR = 2.85; 95% confidence interval (CI): 1.88 to 4.34) between those who lost versus kept their job, respectively, and the mean difference in self-reported mental health was −4.3 (95% CI: −6.02 to −2.58). Self-reported mental health was also poorer between those who lost versus kept their job among participants with preexisting depression and/or anxiety (x = −4.78 (95% CI: −8.90 to −0.66).

Limitations of this study are as follows: we may not have matched on all factors that influence retaining a job; we do not distinguish between involuntary and voluntary job loss; generalizability is limited; and employment information is based on self-report.

Our society should invest more resources into supporting low-wage workers such as Medicaid beneficiaries.

Active labor policies that connect people to jobs, help them retain their job and support skills training to secure a better quality job, could reduce health disparities in the Medicaid population.

Use of both claims and self-reported mental health information to evaluate the impact of job loss on working Medicaid beneficiaries.