Changes in travel modes used by people, particularly reduction of the private car use, is an important determinant of effectiveness of transportation plans. Because of dependencies between the choices of residential location and travel mode, integrated modeling of these choices has been proposed by some researchers. In this paper, an agent-based microsimulation model has been developed to evalu...

OBJECTIVE A driving simulator was used to compare the effectiveness of increasing intensity (looming) auditory warning signals with other types of auditory warnings. BACKGROUND Auditory warnings have been shown to speed driver reaction time in rear-end collision situations; however, it is not clear which type of signal is the most effective. Although verbal and symbolic (e.g., a car horn) war...

BACKGROUND AND PURPOSE To evaluate the oncological outcome of a three-implant high dose rate (HDR) brachytherapy (BRT) protocol as monotherapy for clinically localised prostate cancer. MATERIAL AND METHODS Between February 2008 and December 2012, 450 consecutive patients with clinically localised prostate cancer were treated with HDR monotherapy. The cohort comprised of 198 low-, 135 intermed...

Dengue fever (DF), a vector-borne flavivirus, is endemic to the tropical countries of the world with nearly 400 million people becoming infected each year and roughly one-third of the world’s population living in areas of risk. The main vector for DF is the Aedes aegypti mosquito, which is also the same vector of yellow fever, chikungunya, and Zika viruses. To gain an understanding of the spati...

Previous studies suggest that rodent burrows, a proxy for rodent population are important for predicting plague risk areas. However, studies that link landform, surface attributes and rodent burrows in the Western Usambara Mountains in Tanzania are scanty. Therefore, this study was conducted in plague endemic area of the Western Usambara Mountains in northern, Tanzania, to explore the relations...

This paper provides insight into the use of Machine Learning (ML) models for the assessment of humancaused wildfire occurrence. It proposes the use of ML within the context of fire risk prediction, and more specifically, in the evaluation of human-induced wildfires in Spain. In this context, three ML algorithmsdRandom Forest (RF), Boosting Regression Trees (BRT), and Support Vector Machines (SV...

Forest types mapping is one of the most necessary elements in forest management and Silviculture treatments. Traditional methods such as field surveys are time-consuming and cost-intensive. Improving satellite data sources and classification methods offer new opportunities for obtaining more accurate forest biophysical maps. This research compares performance of three non-parametric and tree-ba...

The aim of the study was to investigate how the physiological condition of goats affects the contents of progesterone and 17β-estradiol in the blood and milk and the presence of natural inhibitors in milk. The experimental material consisted of the milk and blood from 13 twoand three-year old goats, in which heat and ovulation were synchronized. Blood and milk samples were collected in the cons...

Dengue fever (DF) is endemic in Guangzhou and has been circulating for decades, causing significant economic loss. DF prevention mainly relies on mosquito control and change in lifestyle. However, alert fatigue may partially limit the success of these countermeasures. This study investigated the delayed effect of meteorological factors, as well as the relationships between five climatic variabl...

Water eutrophication creates unfavorable environmental conditions for submerged macrophytes. In these situations, biotic interactions may be particularly important for explaining and predicting the submerged macrophytes occurrence. Here, we evaluate the roles of biotic interactions in predicting spatial occurrence of submerged macrophytes in 1959 and 2009 for Dianshan Lake in eastern China, whi...