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13,276 results for “IT management”
Cost Management in Cloud Computing: a study on financial waste and correction strategies
<p>This project explores the identification and mitigation of financial wastage in Cloud Computing (CC) operations by professionals in the field, examining the alignment of their strategies with FinOps guidelines. Through a survey distributed via social media and messaging apps to CC professionals, the study engaged 28 participants from various companies, sizes, and sectors. It revealed that these professionals have encountered cost-related issues in cloud applications, particularly financial wastage. The investigation aimed to understand the prevalence of financial wastage in CC and evaluate the effectiveness of the adopted practices in addressing these inefficiencies within the framework of FinOps principles.</p>
Data from: The role of predation, forestry and productivity in moose harvest at different spatial levels of management units
<p>Management of ungulate populations to the desired density and/or demographic composition are challenged by contrasting aims of different stakeholders. For example, hunters may want to maximize hunting opportunities whereas commercial forest owners may want to minimize moose densities to mitigate browsing damage. In addition, the return of large predators such as wolves (<em>Canis lupus</em>) affects the possible harvest yield of ungulates and influences the population composition through their selection of specific age classes. The aim of this study was to gain a better understanding of factors related to the variation in moose (<em>Alces alces</em>) harvest. We used moose harvest statistics from the period 2012-2020, wolf annual monitoring data, annual brown bear (<em>Ursus arctos</em>) density, proportion of young forest per management unit, and proportion of agricultural land per management unit (index for productivity and roe deer (<em>Capreolus capreolus</em>) density) to explain variation in moose harvest across different management units at two spatial levels in two bordering countries, Sweden and Norway. The results showed variable responses in total harvest to changes in wolf territory density both at the regional and local management level. The proportion of young forest was correlated with both increased total harvest and proportion of calves. Increased proportion of agricultural land was linked to both increased total harvest and proportion of calves, likely due to that increased roe deer densities re-directed wolf predation from moose to roe deer, and an inverse relationship with brown bear density. Differences between countries may be due to differences in the management regime of moose, both in an historical and present perspective. Improved monitoring for individual hunting areas over time will be important for both the understanding of how different ungulate populations are affected by various factors and for the desired management of wildlife populations shared across borders.</p>
Proactive management outperforms reactive actions for wildlife disease control
<p>Finding effective pathogen mitigation strategies is one of the biggest challenges humans face today. In the context of wildlife, emerging infectious diseases have repeatedly caused widespread host morbidity and population declines of numerous taxa. In areas yet unaffected by a pathogen, a proactive management approach has the potential to minimize or prevent host mortality. However, we typically lack critical information on the disease dynamics in a novel host system, have limited empirical evidence on efficacy of management interventions, and lack validated predictive models. As such, quantitative support for identifying effective management interventions is largely absent, and the opportunity for proactive management is often missed. Here, we consider the potential invasion of the chytrid fungus, <em>Batrachochytrium salamandrivorans</em>, whose expected emergence in North America poses a severe threat to hundreds of salamander species in this global salamander biodiversity hotspot. We developed and parameterized a dynamic multi-state occupancy model to forecast host and pathogen occurrence, following expected emergence of the pathogen, and evaluated the response of salamander populations to different management scenarios. Our model forecasts that taking no action is expected to be catastrophic to salamander populations. We also show that proactive action is expected to maximize host occupancy outcomes compared to 'wait and see' reactive management, thus providing quantitative support for proactive management opportunities. Additionally, we found that Bsal eradication is unlikely under any evaluated management options. Contrary to our expectations, even early pathogen detection had little effect on Bsal or host occupancy outcomes. Our analysis provides quantitative support that proactive management is the optimal strategy for promoting persistence of disease-threatened salamander populations. Our approach fills a critical gap by defining a framework for evaluating management options prior to pathogen invasion and can thus serve as a template for addressing novel disease threats that jeopardize wildlife and human health.</p>
Figure 6 in Interference and management of herbicide-resistant crop volunteers
Figure 6. Stalk regrowth of 2,4-D-resistant cotton after shredding and treatment with duplosan.
Figure 5 in Interference and management of herbicide-resistant crop volunteers
Figure 5. Cotton stalk regrowth in a field in Georgia.
Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya
<p>The COVID-19 pandemic put a strain on healthcare facilities across the globe. Dental facilities pose the highest COVID-19 transmission risk categories due to the aerosol-generating procedures involved in dental practice. This study aimed to determine financial, supplies, and human resource preparedness in managing the COVID-19 pandemic among Nairobi County, Kenya dental facilities. A cross-sectional study was conducted using a mixed-methods approach among 183 dental facilities in Nairobi County. Data was collected using a KoboCollect questionnaire and analyzed using MS Excel and SPSS version 26. Dental facilities' readiness was assessed using the ReadyScore Criteria. Qualitative data was collected through one-on-one interviews with key informants and analyzed thematically. Readyscore Criteria analysis showed that 39 (21.3%) of the evaluated dental facilities were considered "ready," while 133 (72.7%) and 11 (6%) were considered to have "work to do" and "not ready" for the pandemic. Bivariate analysis showed that the level of facility (p<0.001), presence of other departments (p<0.001), funds sufficiency for COVID-19 emergency response (p=0.001), and clients attended per month (p=0.017) were statistically significant factors associated with pandemic preparedness scores. Regression analysis revealed that the presence of other departments among the dental facilities was a significant predictor of readiness, with a 4.5 times higher likelihood of being ready for a pandemic (aOR 4.591; 1.471–14.327, p=0.009) compared to other facilities. Support from healthcare authorities and capacity-building initiatives are recommended to enhance preparedness and resilience among dental facilities in the face of the COVID-19 pandemic.</p>
Figure 8 in Interference and management of herbicide-resistant crop volunteers
Figure 8. Volunteer soybean in a cornfield in Nebraska.
Fig 1 in Comprehensive review on Indian major carps: An integrated approach to pond cultivation, nutrition, and health management for sustainable aquaculture
Fig 1: Indian Major Carps
Functional responses in habitat selection as a management tool to evaluate agri-environment schemes for farmland birds
<p>The folder "functional_responses.zip" contains data analyzed for "Functional responses in habitat selection as a management tool to evaluate agri-environment schemes for farmland birds"</p> <p>The raw LPIS/IACS data are owned by the Saxon State Ministry for Energy, Climate Protection, Environment and Agriculture; they hold sensitive information and hence cannot be made publicly available. They can be requested from the agency for research purposes.</p> <p>Processed data are retrievable from .RDATA in "rdata_mixed_model" and "rdata_functional_responses" folders.</p> <p>"rscript" folder contains R functions of JAGS codes (jags_code.R), data processing (process.R), utility functions (utils.R), and figures (figure_all.R or figure_all_by_sp.R).</p> <p>Dg: Common whitethroat (Curruca communis)</p> <p>Fl: Eurasian skylark (Alauda arvensis)</p> <p>G: Yellowhammer (Emberiza citrinella)</p> <p>Ga: Corn bunting (Emberiza calandra)</p> <p> </p> <p>If you have questions regarding data, please contact ryo.ogawa@uni-bonn.de.</p>
Fig. 1 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 1: Map of the study area.
Figure 3 in Developing an advanced information system to support ballast water management
Figure 3. An overall view of all modules of the Ballast Water Information System.
Data from: Occurrence, ecology and management of Fascioloides magna in Bavaria, Southern Germany
<p>In 2015, red deer infected with American liver fluke were discovered in the Veldenstein Forest area for the first time. This was the first detection of the fluke in a wild deer population in Bavaria. </p> <p>The aim of the study was to determine the American liver fluke prevalence rates in red deer, roe deer and wild boar in the Veldenstein Forest, as well as factors influencing these rates.</p> <p>Since 2018, the livers of 83% of the red deer culled in the study area have been examined, as well as those of the occasional roe deer and wild boar. The livers are classified by adspection and dissection into four levels of infection. The age of the animals was estimated on the basis of dentition and tooth cementum annuli in the first molar (M1). The livers of 520 red deer, 226 roe deer and 75 wild boar were dissected. All wild boar livers tested negative. 3% of roe deer and 36% of red deer livers were positive. To lower the prevalence, the red deer population was reduced, beginning in 2018. In the following years, it fell significantly. Medium and high levels of infection were initially detected in 61% of adult red deer. Since 2018, the median number of flukes per infected liver has decreased significantly from 17.51 flukes/liver to 10.0 flukes/liver. On driven hunts, significantly more diseased deer were found than during hunting from raised hides.</p> <p>Furthermore, there are close correlations between infectations and the age of the red deer, and infections and the distance from the Pegnitz floodplains. The American liver fluke leads to the extinction of roe deer locally and to a massive infectation and decimation of the red deer population. Without a drastic reduction of the numbers in infected red deer populations, there is a risk of large-scale infection of native deer species across large areas in Bavaria.</p>
FIG. 1 in Response of bryophytes to disturbances in managed forests. A case study from a Polish forest
FIG. 1. — Number of bryophyte species in the four types of substrates considered.
Fig. 1 in Systematic review of modifiable risk factors shows little evidential support for most current practices in Cryptosporidium management in bovine calves
Fig. 1 Study selection procedure
Data Management Plan for PsyCoMed
<p>Ongoing Data management plan for PsyCoMed 14-06-2024</p>
Evaluation of the Prototyping of a Web Tool for Customization and Management of Rubrics: A Focus Group Study
<p>Files containing the focus group chat and audio transcripted, the questionnaire used, the questionnaire answers sheet and the Figma prototypes applied on the evaluation of the prototyping of a web information system for rubric customization and management: RubricPro</p>
Fig. 6 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 6: Scatterplot matrices for Large (A) and Linear (B) FM functions.
Fig. 8 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 8: High values of the FP c index as estimated by Local Moran's I test.
Fig. 5 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 5: Spatial representation of coastal vessels activity indexes (Ac).
Fig. 4 in Multi-Criteria Decision Analysis as a tool to extract fishing footprints: application to small scale fisheries and implications for management in the context of the Maritime Spatial Planning Directive
Fig. 4: Spatial representation of the Coastal fishery suitability index (Sc).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.