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1,751 results for “Future”
Educational and workforce development through creation of programs in transportation to generate future careers for our students in Navajo Nation region
<p>Navajo Technical University (NTU) in New Mexico, has made a partnership with the Tran-SET regional center at Louisiana State University, LSU. We have provided learning and training the Native American students in transportation-related Industries to some of STEM students at NTU through these partnerships opportunities.<br> The program was designed and supported by Native American students from high school to STEM undergraduate students. The program was implemented accordingly with four main components: (1). Selected eligible and interested<br> Native American student to paid summer internships to the field and facilities of transportations industries and participate in research summer at LSU. (2). Directed the students to the transportation-related workshops and conducting at research NTU and they provided with and prepared them with the necessary background in transportation fields. (3). Several students were selected to research during the academic semester related to the field particularly, analyzing the causes of workforce shortages in the transportation industry. (4). We are planning to create and offer transportation certificate programs at NTU to train and expose the Native American students in transportation fields in the future if we get additional funding. We also proposed projects and conducted significant outreach activities in some of the local high schools and colleges. If successful we are planning to develop online courses, which would be provided for free to the Native American universities across the nation in order to make this program more sustainable.<br> Also, we are expected and planning to support 15-20 undergraduate and high school students per year through this partnership program. Other activities undertaken by NTU were the collaboration with different research, education, and outreach projects related to transportations undertaken by the NTU faculty partners. Some of the NTU STEM and pre-engineering students participated in the summer research internship programs, educational, laboratory, site visits as well as exposing students to the most technically-advanced Material research laboratories in Region 6 as well as state-of-the-art facilities at LSU. Some NTU students worked with local industries and agencies to enhance workforce development in the region.</p>
A 30-year high resolution simulation of the future climate over the Interior Western United States
<p>A high-resolution (4 km) convection-permitting regional climate simulation is conducted in the Interior Western United States (IWUS) using the Weather Research and Forecasting (WRF) model. The model integration is conducted over a 30-year period from October 1981 through September 2011, and over a 30-year future period centered at 2050 using the Pseudo–Global Warming (PGW) technique. The IWUS model output for the retrospective climate is available from https://doi.org/10.5281/zenodo.1157112.</p> <p>This repository contains a 30-year gridded dataset of precipitation, surface (2 m) temperature, surface pressure, water vapor mixing ratio at 2 m, and 10 m wind speed at a daily frequency from the IWUS simulation of future climate centered at 2050. Anyone interested in the full dataset of the IWUS simulation is encouraged to contact the lead author at yongganga.wang@gmail.com.</p>
Experimental infection of bumble bees with honey bee associated viruses: no direct fitness costs but potential future threats to novel wild bee hosts
<p>Pathogen spill-over represents an important cause of biodiversity decline. For wild bee species such as bumble bees, many of which are in decline, correlational data point toward viral spill-over from naged honey bees as a potential cause. Yet impacts of honey bee viruses on wild bees are rarely evaluated. Here, in a series of highly controlled laboratory infection assays with well characterised viral inocula, we show that three viral types isolated from honey bees (<i>Deformed wing virus</i> genotype A, <i>Deformed wing virus</i> genotype B and <i>Black queen cell virus</i>) readily replicate within hosts of the bumble bee <i>Bombus terrestris</i>. Impacts of these honey bee-derived viruses – either injected or fed – on the mortality of <i>B. terrestris </i>workers were, however, negligible and likely dependent on host condition. Our results highlight the potential threat of viral spill-over from honey bees to novel wild bee species, though they also underscore the importance of additional studies on this and other non- bee species under field-realistic conditions to evaluate whether pathogen spill-over has a negative impact on wild bee individuals and population fitness.</p>
Data and code for: Past and future extinctions shape the body size - fruit size relationship between palms and mammalian frugivores
<p>The dispersal of seeds by mammalian frugivores influences the structure and composition of plant communities, but most ecosystems have undergone defaunation over thousands of years, a process that continues today. Understanding how past defaunation has affected fruit-frugivore interactions will thus provide insights into how ecosystems may respond to future frugivore loss. By integrating palm and mammalian frugivore trait and occurrence data worldwide, we reveal a global positive relationship between fruit size and body size of frugivore assemblages. Global variation in fruit size is better explained by present-day frugivore assemblages compared to those of the Late Pleistocene (including extinct species), suggesting a substantial ecological and evolutionary reorganization after Pleistocene mammal extinctions. Interestingly, the reverse is true for the Neotropics where some large-fruited palm species may have persisted over thousands of years following extinction of their main seed dispersers. Simulations of frugivore extinction over the next 100 years suggest that changes in body size will require up to a 4% assemblage-level decrease in palm fruit sizes to maintain the current global frugivore body size - fruit size relationship. Absolute changes in assemblage-level means of palm fruit size were on average up to two-fold higher than observed species-level estimates of seed size change following defaunation. Overall, our results suggest that while some large-fruited palms may persist after the loss of their main dispersers, many palms may be unable to keep pace with future defaunation through evolutionary changes in fruit size alone. The burden of the impact of the extinction of seed dispersers will probably be disproportionately borne by large-fruited palms, possibly over thousands of years to come.</p>
Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
<p>Regional Ocean Modeling System outputs from dynamic downscaling of Coupled Model Intercomparison Project climate forcings in the California Current system, including projections with full climate forcings, as well as attribution experiments with only changes in wind, heat fluxes and other properties changing stratification, and boundary biogeochemical forcings. Output variables include euphotic zone integrated net primary productivity, and incident photosytnehtically available radiation, and ocean temperature, salinity, vertical velocity, and dissolved oxygen and nitrate concentrations at select depths.</p>
Data From: Conservation planning in an uncertain climate: identifying projects that remain valuable and feasible across future scenarios
<p>Conservation actors face the challenge of allocating limited resources despite uncertainty about future climate. A key goal is to minimize the potential for negative outcomes under future scenarios. Thus, we address a global conservation challenge: how to allocate conservation investments given high uncertainty about future climate conditions. To that end, we present a method for identifying projects that remain valuable and feasible across climate scenarios and apply our framework to freshwater biodiversity conservation in the South-Central USA. We combine data from a recent high-resolution hydrologic planning tool and species distribution models to estimate the conservation feasibility and biodiversity value of river reaches below 38 major reservoirs in the Red River basin.We find that only 13% of sites have high conservation priority across all future climate scenarios and that spatial patterns of conservation priority largely reflect patterns of water availability and fish biodiversity.</p>
The Future of Large Dams in Global Food and Energy Systems
<p>Global basin scale data on current and future demands for irrigation and hydropower, as well as available resources in terms of solar photovoltaic and existing storage.</p>
Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation
<p>Activities were dedicated to the collections, summarizations and categorizing more research articles related to the analysis of the sources of workforce deficiencies. The focus was on the technical and educational solution methods and strategies, guideline relevant to the workforce development. The times also were committed to the development of educational modules related to carrier’s opportunities in the transport industry into a couple of courses. Several NTU STEM students were interviewed, selected and introduced for the summer research internships in transportation areas to LSU Tran SET center. Outreach activities conducted with the community and some of the high school professionals related to the factors, which have the greatest impact on job choice decisions of students entering the workforce in transportation industries. In order to increase the community knowledge and awareness several intern students were hired and guided to do research about the impact of transport trades and jobs chances on communities in the Navajo Nation.</p>
Supporting dataset – A systematic review of automated journalism scholarship: guidelines and suggestions for future research
<p>This dataset supports the following article, conditionally accepted for publication in Open Research Europe:</p> <p>"A systematic review of automated journalism scholarship: guidelines and suggestions for future research."</p> <p> </p> <p> </p>
"A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. dataset
<p>Raw, original data and fits data set for "A Simple Model to Predict Future SARS-CoV-2 Infections on a National Level" by Blanco et al. in EXCEL and GraphPad Prism file formats and FORTRAN code.</p>
The visualization of the dynamics of the empirical liquidity cost function (for the Brent futures contracts)
<p>The dynamics of the <strong>empirical liquidity cost function</strong> for a futures contract for Brent oil is presented. The top panel shows the empirical liquidity cost function. The bottom panel shows the dynamics of the average price of a futures contract. The time interval between each value is 5 seconds. Visualization is performed in accelerated mode.</p>
Increased allocation to reproduction reduces future competitive ability in a burying beetle
<p>1. The existence of a trade-off between current and future reproduction is a fundamental prediction of life-history theory. Support for this prediction comes from brood size manipulations, showing that caring for enlarged broods often reduces the parent's future survival or fecundity. However, in many species, individuals must invest in competing for the resources required for future reproduction. Thus, a neglected aspect of this trade-off is that increased allocation to current reproduction may reduce an individual's future competitive ability.</p> <p>2. We tested this prediction in the burying beetle, Nicrophorus vespilloides, a species where parents care for their offspring and where there is fierce competition for resources used for breeding.</p> <p>3. We manipulated reproductive effort by providing females with either a small brood of 10 larvae or a large brood of 40 larvae and compared the ability of these females, and virgin females that had no prior access to a carcass, to compete for a second carcass against a virgin competitor.</p> <p>4. We found that increased allocation to current reproduction reduced future competitive ability, as females that had cared for a small brood were more successful when competing for a second carcass against a virgin competitor than females that had cared for a large brood. In addition, the costs of reproduction were offset by the benefits of feeding from the carcass during an initial breeding attempt, as females that had cared for a small brood were better competitors than virgin females that had no prior access to a carcass, whilst females that had cared for a large brood were similar in competitive ability to virgin females.</p> <p>5. Our results add to our understanding of the trade-off between current and future reproduction by showing that this trade-off can manifest through differences in future competitive ability and that direct benefits of reproduction can offset some of these costs. 16-Apr-2020</p>
Data from: Skewness and index futures return
<p>In this paper, we show that the individual skewness, defined as the average of monthly skewness across firms, performs very well at predicting the return of S\&P 500 index futures. This result holds after controlling for the liquidity risk or for the current business cycle conditions. We also find that individual skewness performs very well at predicting index futures returns out-of-sample.</p>
Coral restoration – a systematic review of current methods, successes, failures and future directions
Coral reef ecosystems have suffered an unprecedented loss of habitat-forming hard corals in recent decades. While marine conservation has historically focused on passive habitat protection, demand for and interest in active restoration has been growing in recent decades. However, a disconnect between coral restoration practitioners, coral reef managers and scientists has resulted in a disjointed field where it is difficult to gain an overview of existing knowledge. To address this, we aimed to synthesise the available knowledge in a comprehensive global review of coral restoration methods, incorporating data from the peer-reviewed scientific literature, complemented with grey literature and through a survey of coral restoration practitioners. We found that coral restoration case studies are dominated by short-term projects, with 60% of all projects reporting less than 18 months of monitoring of the restored sites. Similarly, most projects are relatively small in spatial scale, with a median size of restored area of 100 m2. A diverse range of species are represented in the dataset, with 229 different species from 72 coral genera. Overall, coral restoration projects focused primarily on fast-growing branching corals (59% of studies), and report survival between 60 and 70%. To date, the relatively young field of coral restoration has been plagued by similar 'growing pains' as ecological restoration in other ecosystems. These include 1) a lack of clear and achievable objectives, 2) a lack of appropriate and standardised monitoring and reporting and, 3) poorly designed projects in relation to stated objectives. Mitigating these will be crucial to successfully scale up projects, and to retain public trust in restoration as a tool for resilience based management. Finally, while it is clear that practitioners have developed effective methods to successfully grow corals at small scales, it is critical not to view restoration as a replacement for meaningful action on climate change.
Phenological responses to climate warming in temperate moths and butterflies: species traits predict future changes in voltinism
Changes in the number of generations per year (voltinism) have been among the most common phenological responses to climate warming in insects inhabiting seasonal environments. Nevertheless, numerous species have maintained univoltine (one generation per year) phenology with increasing temperatures, indicating the involvement of phylogenetic, ecological or some other constraints on phenological change. I examined geographic variation in voltinism in moths and butterflies of Northern Europe to identify species traits that might predispose species to univoltine/multivoltine phenology. I focused on species with a wide latitudinal distribution range (15 degrees as a minimum) which makes it unlikely that constraints imposed by season length could preclude multivoltinism across their distribution. Almost half of the 731 moth and butterfly species considered appear to have a single generation throughout their entire European range. A univoltine life-cycle across a wide latitudinal gradient suggests the presence of some constraint that makes additional generations either impossible or at least strongly disadvantageous, which will unlikely change with future climate warming. The scattered distribution of univoltine and multivoltine species across the lepidopteran phylogeny indicates that phylogenetic constraints are not strongly limiting changes in voltinism, and the trait is open to ecologically-driven adaptive evolution. My data show that species with one generation per year are generally larger than multivoltine species, but size forms no absolute constraint to having multiple generations per year. Obligately univoltine species dominate among egg and adult overwinterers (life-histories typical of so-called spring-feeders), whereas species with capacity for multiple generations prevail among pupal overwinterers. Multivoltinism is also infrequent among species feeding on grasses, particularly in endophagous grass-feeders. Larval diet breadth has no discernible effect on voltinism. Given the diverse ecological consequences of voltinism and its changes, accounting for the species' capacity for multivoltinism may be a key to address future challenges in biodiversity conservation and pest management.
Autonomous Mobile Robots: Past, Present and Future of SLAM 2013
<p>“Autonomous Mobile Robots: Past, Present and Future of SLAM” 2013. In:Workshop<br /> at the First RSI/ISM International Conference on Robotics and Mechatronics by<br /> Sharif University of Technology. Presenter: Prof. Hamid D. Taghirad, 2013.</p>
THE STATUS OF THE SERBIAN TERMINOLOGY DEFINED BY THE SERBIAN LANGUAGE POLICY THROUGHOUT ITS CONTEMPORARY AND FUTURE PLANS. AN OUTLINE OF ONE TERMINOLOGICAL ALGORITHM
<p>This lecture aims to point out the necessity of creating a digital terminology database of the Serbian professional terminology which would provide systematically collecting, inventory making, precise identifying, defining, linguistic analyzing and interpreting terminologies of different professions for making a stable ground for the codification and standardization of professional terminology of the Serbian language. It also implicitly points to a need to organize terminology workshops through which the experts that “build” vocabularies of their profession would become familiar with the basic principles of creating or designing terminology expressed in the work with the database via the network interface and thus become able to work on different professional terminologies. In addition, the paper suggests the most common mistakes in contemporary terminographic work as a result of lack of understanding of the meaning of inter- and multi-disciplinary approach to the study of terminology as a special branch of linguistic research.</p>
Crops and Climate: Shaping Pakistan's Economic Future
<p>The project, Crops and Climate: Shaping Pakistan’s Economic Future, aims to address the<br>challenges posed by climate variability and unsustainable agricultural practices in Pakistan.<br>Agriculture plays a crucial role in the country’s economy, contributing between 19% and 20% of<br>its GDP and employing approximately 38% of the labor force (Government of Pakistan, 2022).<br>However, the sector is vulnerable to unpredictable weather patterns, fluctuating crop yields, and a<br>lack of data-driven decision-making.<br>To mitigate these challenges, the project proposes developing an AI-powered Climate and Crop<br>Economic Analysis System. This system will utilize machine learning algorithms and real-time<br>data analytics to forecast crop yields for key crops such as wheat, rice, cotton, maize, and<br>sugarcane, taking into account historical agricultural data, climate patterns, and production trends.<br>It will provide agricultural stakeholders, policymakers, and industry leaders with informed<br>decision-making tools, thus optimizing resource allocation, enhancing food security, and<br>promoting sustainable agricultural practices.<br>The expected outcome is a modernized agricultural sector that contributes to economic stability,<br>reduces reliance on imports, and increases export potential.By incorporating climate adaptation<br>strategies, the project also aligns with global efforts to mitigate the impacts of climate change on<br>food production (FAO, 2020).</p>
Dataset for Bukovsky et al. (2021): "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections"
<p>This dataset contains derived data and model data necessary for reproducing the results found in "SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections" by Melissa S. Bukovsky, Jing Gao, Linda O. Mearns, and Brian C. O'Neill. This dataset contains data not otherwise available in other public archives, as noted in Bukovsky et al. (2021, Earth's Future; preprint available at https://doi.org/10.1002/essoar.10504141.2). That is, this dataset contains data from the land-use change simulations that are not part of NA-CORDEX (na-cordex.org), but which are complementary to those published in the NA-CORDEX archive.</p>
BBN designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions
<p>Land-use change (deforestation for crops and pastures, reforestation, firewood removal, etc.) constitutes one of the primary drivers of global change, since human activity is to a greater or lesser degree altering the vegetation cover of the planet. The combined effects of climate change and shifts in land use determine the distribution and structure of the vegetation of the Sierra Nevada, and the associated ecosystem services. The surface cover of tree formations in Sierra Nevada has expanded from 15% to 51.23% over the last 60 years. Similarly, a densification of the scattered tree cover and the natural forests and a decline in the surface area occupied by cultivated fields (from 17.8% to 4.72%) has occurred in the last six decades (Zamora, et al, 2016). Therefore, it is important to ascertain future land use change and its effects on the vegetation cover. </p><p>The main purpose of this model is to facilitate the land-use management of Protected Areas (PAs) based on ecosystem services (ES). A BBN is being designed to develop future land-use scenarios for the Sierra Nevada under different environmental and management conditions. Afterwards, we will implement these scenarios in other ES assessment models. The analysis of ES trade-offs in several scenarios will help managers to predict the state of ES and their relations in the future.</p>
ScienceDex guides
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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.