scholarly journals Identification of EV use patterns, based on large scale EV monitoring data

2013 ◽  
Vol 6 (1) ◽  
pp. 230-240
Author(s):  
C. De Cauwer ◽  
D. Gillis ◽  
T. Coosemans ◽  
J. Van Mierlo
Keyword(s):  
Large Scale ◽  
Monitoring Data ◽  
Use Patterns

scholarly journals Climate change and landscape-use patterns influence recent past distribution of giant pandas

2020 ◽  
Vol 287 (1929) ◽  
pp. 20200358
Author(s):  
Junfeng Tang ◽  
Ronald R. Swaisgood ◽  
Megan A. Owen ◽  
Xuzhe Zhao ◽  
Wei Wei ◽  
...  
Keyword(s):  
Climate Change ◽  
Large Scale ◽  
Climatic Factors ◽  
Ailuropoda Melanoleuca ◽  
Seasonal Temperature ◽  
Negative Consequences ◽  
Giant Pandas ◽  
Use Patterns ◽  
Changing Climate ◽  
Temperature And Precipitation

Climate change is one of the most pervasive threats to biodiversity globally, yet the influence of climate relative to other drivers of species depletion and range contraction remain difficult to disentangle. Here, we examine climatic and non-climatic correlates of giant panda ( Ailuropoda melanoleuca ) distribution using a large-scale 30 year dataset to evaluate whether a changing climate has already influenced panda distribution. We document several climatic patterns, including increasing temperatures, and alterations to seasonal temperature and precipitation. We found that while climatic factors were the most influential predictors of panda distribution, their importance diminished over time, while landscape variables have become relatively more influential. We conclude that the panda's distribution has been influenced by changing climate, but conservation intervention to manage habitat is working to increasingly offset these negative consequences.

Changes in Herbicide Use Patterns and Production Practices Resulting from Glyphosate-Resistant Crops

2006 ◽  
Vol 20 (2) ◽  
pp. 301-307 ◽  
Author(s):  
Bryan G. Young
Keyword(s):  
Weed Management ◽  
Management Strategy ◽  
Crop Production ◽  
Large Scale ◽  
Resistance Management ◽  
Use Patterns ◽  
No Till ◽  
Production Practices ◽  
Sites Of Action ◽  
Herbicide Use

Recent shifts in herbicide use patterns can be attributed to rapid, large-scale adoption of glyphosate-resistant soybean and cotton. A dramatic increase in glyphosate use is the most obvious change associated with the adoption of glyphosate-resistant crops. Consequently, the diversity of herbicides used for weed management in these crops has declined, particularly in soybean. To date, the availability of glyphosate-resistant corn has limited the use of glyphosate in corn. While exploiting the benefits of glyphosate-resistant crops, many growers have abandoned the principles of sound weed and herbicide-resistance management. Instead of incorporating glyphosate into a resistance management strategy utilizing multiple herbicide sites of action, many growers rely exclusively upon glyphosate for weed control. Although it is difficult to establish a clear relationship between the adoption of glyphosate-resistant crops and changes in other crop production practices, the increase in no-till and strip-till production of cotton and soybean between 1995 and 2002 may have been facilitated by glyphosate-resistant crops.

Temperature and Displacement Monitoring to Steel Roof Construction of Shenzhen Bay Stadium

2016 ◽  
Vol 16 (04) ◽  
pp. 1640020 ◽  
Author(s):  
Jun Teng ◽  
Wei Lu ◽  
Yan Cui ◽  
Rengui Zhang
Keyword(s):  
Large Scale ◽  
Steel Structure ◽  
Monitoring Data ◽  
Cycle Duration ◽  
Construction Process ◽  
Construction Monitoring ◽  
Long Span ◽  
Wide Range ◽  
Structure Complexity ◽  
Steel Roof

The long-span spatial steel structure takes its complex construction process because of its features, such as large scale, wide range, and long cycle duration. Simultaneously, the structural construction process can not only affect the shaping of long-span spatial structure, but also produce a great effect to structural final force state, which makes the construction monitoring of long-span spatial steel structure necessary. The most important construction parts for Shenzhen Bay Stadium steel roof are unloading process and closure process. Considering the structure complexity in the construction phase, a structural health monitoring system was installed, which began to be built in early 2010 and contained two phases: construction monitoring and operation monitoring. In this paper, the temperatures and displacements monitoring in construction phase are firstly described in detail. The monitoring data of temperature and displacement measured in unloading and closure phases are then analyzed, respectively. According to these monitoring data, the comprehensive understanding for the structural performances in construction phase is shown and discussed, which can provide a reference of construction monitoring for the related projects.

scholarly journals BANKSAFE: Visual analytics for big data in large-scale computer networks

2013 ◽  
Vol 14 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Fabian Fischer ◽  
Johannes Fuchs ◽  
Florian Mansmann ◽  
Daniel A Keim
Keyword(s):  
Big Data ◽  
Computer Networks ◽  
Visual Analytics ◽  
Large Scale ◽  
Science And Technology ◽  
Lessons Learned ◽  
Unstructured Data ◽  
Monitoring Data ◽  
Making Sense

The enormous growth of data in the last decades led to a wide variety of different database technologies. Nowadays, we are capable of storing vast amounts of structured and unstructured data. To address the challenge of exploring and making sense out of big data using visual analytics, the tight integration of such backend services is needed. In this article, we introduce BANKSAFE, which was built for the VAST Challenge 2012 and won the outstanding comprehensive submission award. BANKSAFE is based on modern database technologies and is capable of visually analyzing vast amounts of monitoring data and security-related datasets of large-scale computer networks. To better describe and demonstrate the visualizations, we utilize the Visual Analytics Science and Technology (VAST) Challenge 2012 as case study. Additionally, we discuss lessons learned during the design and development of BANKSAFE, which are also applicable to other visual analytics applications for big data.

scholarly journals Assessing impacts of land abandonment on Mediterranean biodiversity using indicators based on bird and butterfly monitoring data

2015 ◽  
Vol 43 (1) ◽  
pp. 69-78 ◽  
Author(s):  
SERGI HERRANDO ◽  
LLUÍS BROTONS ◽  
MARC ANTON ◽  
FERRAN PÁRAMO ◽  
DANI VILLERO ◽  
...  
Keyword(s):  
Large Scale ◽  
Forest Cover ◽  
Habitat Preferences ◽  
Land Abandonment ◽  
Monitoring Data ◽  
Open Habitat ◽  
North East ◽  
The North ◽  
Butterfly Monitoring ◽  
The Impact

SUMMARYIn Europe, and particularly in the Mediterranean Basin, the abandonment of traditional land-use practices has been reported as one of the main causes of decline for open-habitat species. Data from large-scale bird and butterfly monitoring schemes in the north-east Iberian Peninsula were used to evaluate the impact that land abandonment has had on local biodiversity. Species’ habitat preferences, along a gradient from open to forest habitats, were significantly related to population trends: for both birds and butterflies, open-habitat species showed the most marked declines while forest species increased moderately. Multi-species indicators for tracking the impact of land abandonment on bird and butterfly populations were developed using habitat preference estimates and population trend indices. The patterns shown by these indicators were in line with the changes occurring in forest cover in the monitoring sites. This study reveals that multi-species indicators based on monitoring data from different taxonomic groups (here, birds and butterflies) may usefully be employed to track impacts of environmental change on biodiversity.

scholarly journals Changes in Drug Use Patterns During the COVID-19 Pandemic in Italy: Monitoring a Vulnerable Group by Hair Analysis

2020 ◽  
Author(s):  
Alessio Gili ◽  
Mauro Bacci ◽  
Kyriaki Aroni ◽  
Alessia Nicoletti ◽  
Angela Gambelunghe ◽  
...  
Keyword(s):  
Substance Use ◽  
Drug Use ◽  
Large Scale ◽  
Laboratory Data ◽  
High Risk Population ◽  
Long Term Effects ◽  
Self Medication ◽  
Use Patterns ◽  
Drug Use Patterns ◽  
The Government

Abstract Background From March 22 until May 18, 2020, a complete lockdown in Italy was ordered by the government as a drastic and unprecedented countermeasure against the COVID-19 pandemic. Social isolation measures affect some populations more than others, and people with mental and drug and/or alcohol disorders are more likely to be adversely affected by home confinement. The literature on substance use during the COVID-19 pandemic is still nascent, but past research on other large-scale disasters suggests a modification in drug use patterns. This study presents for the first time experimental laboratory data on the use of alcohol and drugs in a high-risk population during Italy's first wave of the COVID-19 pandemic. Methods Thirty subjects with substance use disorders were monitored for the use of traditional drugs and alcohol every 3 months before, during and after lockdown by the analysis of hair, a biological matrix that permits retrospective evaluations. Results There was a general decrease in the use of traditional drugs during the lockdown: the number of samples positive for heroin, cocaine, MDMA and cannabis fell considerably and then resumed to pre-lockdown levels when the period of confinement was over. Interestingly, the consumption of benzodiazepines and alcohol followed the opposite trend. The number of benzodiazepine-positive samples increased and remained high even at the end of the lockdown. Similarly, alcohol consumption underwent a significant increase during the period of confinement and remained high even after the lockdown restrictions were lifted. Conclusions Confinement measures produced significant changes in drug/alcohol use patterns with a shift towards the use of substances that are more easily accessible and used for the self-medication of stress, anxiety, irritability, depressive symptoms and insomnia. Furthermore, the combined use of alcohol and benzodiazepines can alleviate the negative effects of abstinence from drugs that are no longer easily available. It is concerning that the levels of alcohol and benzodiazepine consumption have remained high even after the lockdown. Mixing benzodiazepines and alcohol can result in a number of serious short-term and long-term effects, which inevitably place further pressure on drug addiction and health services during and after the pandemic.

Sign in / Sign up

Export Citation Format

Share Document