Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This dataset is individual responses from focus group participants rating the desirability of alternative terms to describe the economic tradeoff between income and small changes in mortality risk. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

VSL global database focused exclusively on studies about air pollution-related costs.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The input data consists of the corridor structure and the traffic demand data: The traffic demand data is obtained based on the public database from PeMS. Details can be found in http://pems.dot.ca.gov/. The road network is constructed and modified by netedit. A 10-mile-long freeway section of Interstate-80 Eastbound, with 6 junctions across the city of Davis, CA is selected to evaluate our VSL control strategies. This section has a series of recurrent bottlenecks and severe congestion occurs almost every day in the afternoon peak hours. These multiple bottlenecks are all “critical” along the path. Junction 70 is interconnected with SR-113, another freeway from the north. It introduces heavy merging traffic without metering. A vast lane drop from 6 to 3 lanes exists between Junction 71 and 72. With saturated mainline flow and extra ramp demand at Junction 75 and 78, the downstream traffic flow is sensitive to breakdown even with ramp metering activated in peak hours. Details can be found in https://sumo.dlr.de/docs/netedit.html. The output data is generated through the SUMO simulation. In this simulation, traffic control interface(TraCI) uses a TCP based client/server architecture to build connection with sumo, which is accessible to retrieve values of vehicles and detectors and then construct the VSL control models to get simulation results analysis. Details can be found in https://sumo.dlr.de/docs/TraCI.html. Input Data: vsl_I-80.net.xml: Definition of the 10-mile-long freeway section of Interstate-80 Eastbound network file connecting the city of Davis and West Sacrameto in California vsl_I-80.additionals.xml: Definition of induction loop detectors to capture the vehicle data in every simulation step vsl_I-80.flow.xml: Definition of 5 hours' traffic demand data(OD pairs) with three typical demand sets(light, medium and heavy) vsl_I-80.rou.xml: Vehicle routes and trip information using shortest path computation via duarouter function vsl_I-80.sumocfg.xml: Configuration file glues input files and makes it executable by SUMO Output Data: emissions_no_vsl.xml: The output which contains aggregated travel time, fuel consumption and pollutants without control strategy emissions_static.xml: Output based on the flow-based control strategy emissions_lqr.xml: Output based on the density-based LQR control strategy This project aims at reducing fuel consumption and greenhouse gas emission by applying variable speed control (VSL) strategies to the traffic corridors with multi-segment and multi-bottleneck. The dataset is composed of inputs and outputs of the SUMO simulation model via TraCI API. SUMO is a microscopic traffic simulation platform which allows to simulate a given traffic demand through a given network. Namely, the inputs consist of the vehicle trip data obtained from the PeMS database in a 10-mile long freeway section of Interstate-80 Eastbound where the outputs are simulation results of the aggregated average travel time, fuel consumption and carbon emissions under different VSL strategies with different optimal speed limit.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

VSL Stock: In a Bubble?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

VSL calculation for Iran, based on VSL of OECD countries and the ratio of GDP per capita.

The dataset presented here was collected from biology teachers in Rwandan lower secondary schools who piloted a newly developed Virtual Science Laboratory (VSL) entitled Monohybridism with Complete Dominance Inheritance from April 23, 2024, to May 3, 2024. This VSL was developed by the Rwanda Quality Basic Education for Human Capital Development (RQBEHCD), a project financed by the World Bank Group through the Rwandan government.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

This paper exploits an unusual transportation setting to generate some of the first revealed preference value of a statistical life (VSL) estimates from a low-income setting. We estimate the trade-offs individuals are willing to make between mortality risk and cost as they travel to and from the international airport in Sierra Leone. The setting and original dataset allow us to address some typical omitted variable concerns, and also to compare VSL estimates for travelers from different countries, all facing the same choice situation. The average VSL estimate for African travelers in the sample is US$ 577,000 compared to US$ 924,000 for non-Africans.

This paper exploits an unusual transportation setting to generate some of the first revealed preference value of a statistical life (VSL) estimates from a low-income setting. We estimate the trade-offs individuals are willing to make between mortality risk and cost as they travel to and from the international airport in Sierra Leone (which is separated from the capital Freetown by a body of water). We observe travelers choosing among multiple transport options – namely, ferry, helicopter, hovercraft, and water taxi. The setting and original dataset allow us to address some typical omitted variable concerns, and also to compare VSL estimates for travelers from dozens of countries, including both African and non-African countries, all facing the same choice situation. The average VSL estimate for African travelers in the sample is US$577,000 compared to US$924,000 for non-Africans. Individual characteristics, particularly job earnings and fatalistic attitudes, can largely account for this variation in the estimated VSL, but there is little evidence that estimates are driven by individuals’ lack of information or predicted life expectancy. We estimate a large income elasticity of the VSL of +1.77. These VSL estimates begin to fill an important gap in the existing literature, and can be used to inform public policy, including current debates within Sierra Leone regarding the desirability of constructing new transportation infrastructure.

Protein-Protein, Genetic, and Chemical Interactions for Azmi I (2006):Recycling of ESCRTs by the AAA-ATPase Vps4 is regulated by a conserved VSL region in Vta1. curated by BioGRID (https://thebiogrid.org); ABSTRACT: In eukaryotes, the multivesicular body (MVB) sorting pathway plays an essential role in regulating cell surface protein composition, thereby impacting numerous cellular functions. Vps4, an ATPase associated with a variety of cellular activities, is required late in the MVB sorting reaction to dissociate the endosomal sorting complex required for transport (ESCRT), a requisite for proper function of this pathway. However, regulation of Vps4 function is not understood. We characterize Vta1 as a positive regulator of Vps4 both in vivo and in vitro. Vta1 promotes proper assembly of Vps4 and stimulates its ATPase activity through the conserved Vta1/SBP1/LIP5 region present in Vta1 homologues across evolution, including human SBP1 and Arabidopsis thaliana LIP5. These results suggest an evolutionarily conserved mechanism through which the disassembly of the ESCRT proteins, and thereby MVB sorting, is regulated by the Vta1/SBP1/LIP5 proteins.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Many public policies impact citizens’ longevity. In regulatory analyses of these policies, benefit-cost analysts are asked to estimate whether the benefits of these policies outweigh their costs. This requires estimation of the value of a life saved (or, alternatively, extended) as a result of the policy. Because the federal government requires numerous regulatory policies to be evaluated each year, it has a large stake in having an accurate measure for what is known as the “Value of a Statistical Life” (VSL), the value used to measure the mortality-related benefits or costs associated with a policy. Conventional methods for estimating the VSL have used both revealed- and stated-preference data to evaluate an individual’s value of his or her own life. Current VSL estimates do not consider the value that others may place on a person’s life. Thus, these estimates may under- or overestimate the total social value of this individual to all concerned people once altruistic sentiments are included in the valuation.The ultimate goal of the project is to produce evidence about whether altruistic sentiments are likely to be important in estimating the VSL. This evidence could have influence on regulatory policymakers and public officials. If the VSL multiplier turns out to be substantially greater than one (as suggested by my pilot study results), then these results should cause public officials to question their methods for evaluating policies. Undervaluing a life in benefit-cost analyses could have large consequences in determining whether regulation passes the benefit-cost test, and thus affect what public policies are adopted or rejected. Ideally, the evidence provided by this project would lead to the development of a more valid measure of VSL, taking into account altruism, to be used in benefit-cost analyses.Finally, this study evaluates the extent to which an individual’s stated altruistic sentiments can be influenced by context – most importantly, by the age and social proximity of the other person and by the nature of what is being sacrificed. The goal is to measure willingness to sacrifice own health for another person’s health and willingness to sacrifice own wealth for another person’s wealth. To evaluate these sentiments, two surveys were administered to representative samples of Americans which contained hypothetical scenarios with context randomly assigned; the first survey posed a dictator game question and the second survey was designed to elicit marginal rates of substitution between own and other’s health/wealth.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Comprehensive data about the provision of Languages education in Victorian government schools has been collected centrally and published each year since 1991. This data was collected in 2012 and is also available, with more extensive data, in the Languages Provision in Victorian Government Schools report published on the DEECD website.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.