Backed by the Reserve Bank of India, it’s an ambitious approach that combines privacy protection with credit reporting: if it works, it could unlock the credit market for millions of Indians while offering new levels of data security and consumer control.

Tech platforms, telecom companies and governments need to come together at a time like this to work together towards addressing the balance between protecting individual privacy and data sharing that is critical to the public good.

Global enterprises will be able to use big data sets to generate business hypotheses around innovation and new value creation.

"I have seen a significant amount of evidence that suggests that the lab was underperforming, that there were security risks at the lab and that the virus could well have emanated from there," US Secretary of State Mike Pompeo told Ben Shapiro in an interview on Friday.

“The Directorate of Intelligence & Criminal Investigation (I&CI) of the income tax department during August and September 2019 obtained LRS data from several banks in Mumbai and Delhi and verification of the top 100 cases was undertaken. However, nothing adverse was found,” said the report, which was submitted to SIT probing black money earlier this year.

Though bleak, that number was smaller than analysts’ expectations of 22 million jobs lost.

Spot gold markets remained shut due to the lockdown to prevent the spread of coronavirus, according to HDFC Securities.

US gold futures rose 0.6 per cent to $1,698.70.

The metal gained about 2% on Thursday on the back of bleak US economic data.

US gold futures were up 0.1 per cent at $1,728.10.

The emergence of new business environment in the wake of Covid-19 is expected to boost cloud services and digitisation as companies overhaul their digital infrastructure to deal with new ways of working, they said.

The Securities and Exchange Commission today announced that Cantor Fitzgerald & Co. has agreed to pay $3.2 million to settle charges for providing the SEC with incomplete and inaccurate securities trading information known as “blue sheet data.”…

The Securities and Exchange Commission today issued an order directing the equity exchanges and the Financial Industry Regulatory Authority (FINRA) (the participants) to submit a new National Market System plan (NMS plan) with a modernized governance…

OIP is pleased to announce that it has uploaded the Fiscal Year 2019 Annual FOIA Report data for all 118 agencies subject to the FOIA onto FOIA.gov.

Institute of Cancer Research: Scientists bring together world’s coronavirus research in ‘intelligent’ online database. “Scientists have created a dynamic database driven by artificial intelligence which is collecting together the world’s research on coronavirus in a single online space. The new resource will make freely available vast amounts of data on the biology and treatment of … Continue reading Institute of Cancer Research: Scientists bring together world’s coronavirus research in ‘intelligent’ online database

Jon Baron read the recent article, “Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area,” and sent the following message to one of the authors: I read with interest your article in JAMA. I have been trying to follow this issue closely, if only because my wife […]

Starting November 1 the University of Michigan Library has access to the new version of chemistry database SciFinder — SciFinder-n. In fact, both will be accessible to our users with the same login and password information.

Preliminary Data Indicate Humpback Chub Translocation Successful to Date https://www.nps.gov/grca/learn/news/news_2009-08-17_chub.htm

Wildlife biologists will be putting GPS collars on ten adult elk between late August and October of this year to gather movement data of the elk at Grand Canyon National Park. The GPS collar information will be used to inform the development of a draft elk management plan. https://www.nps.gov/grca/learn/news/wildlife-biologists-to-begin-gathering-gps-data-for-elk-at-grand-canyon-np.htm

Roads are important ecological features of forest landscapes, but their cause-andeffect relationships with other ecosystem components are only recently becoming included in integrated landscape analyses. Simulation models can help us to understand how forested landscapes respond over time to disturbance and socioeconomic factors, and potentially to address the important role roads play in these processes.

Responsible for access to digital resources and collections, including identifying and resolving access issues related to resources Perform original and complex copy cataloging and classification of materials in all formats and languages following natio......

The idea of the organization and companies as phenomena to... more

DensityDesign Research Lab took part in the Digital Methods Initiative... more

Workshop by OPENRNDR × Politecnico di Milano This year, we... more

The Community Socioeconomic Information System (CSIS) is a tool that allows users to retrieve 1990 and 2000 U.S. census data to examine conditions and trends for communities in western Washington, western Oregon, and northern California. The tool includes socioeconomic data for 1,314 communities in the entire region, including incorporated and unincorporated places. The tool delivers socioeconomic data using mapping and database features. In addition to providing data for one community, the tool produces community-level data at a variety of scales, including communities in areas surrounding Forest Service and Bureau of Land Management lands, all communities in the Northwest Forest Plan (NWFP) region, and communities within planning provinces within the NWFP region. One feature allows users to customize community data by creating boundaries and socioeconomic data for group of selected communities. The CSIS tool was designated to increase the usefulness of socioeconomic information at the small scale. Typically community socioeconomic assessments use U.S. census designations called census places. However, census places only represent a portion of the rural population. The CSIS uses a smaller unit of analysis (block groups) that we have aggregated to represent contiguous communities across the landscape, thereby representing the entire population. Community data can be printed as reports with graphs and tables, queried within an Access database, mapped and queried as geographic information system (GIS) data within ArcExplorer (a free GIS software included), exported as a table for use in Excel, or exported as GIS data for use in ArcGIS. The tool has features that allow users to locate communities by county or state and become familiar with local geography. The CSIS includes GIS data, such as major land ownerships, political boundaries, and physical landscape features. Applications produce maps that can be printed for specific communities showing community boundaries, water features, roads, metropolitan areas, community population centers, public land ownership, census places, planning provinces, counties, and state boundaries. Or, using the spatial data provided on the CD and ArcExplorer, users can produce custom maps.

Change is the only constant in forest ecosystems. Quantifying regional-scale forest change is increasingly done with remote sensing, which relies on data sent from digital camera-like sensors mounted to Earth-orbiting satellites. Through remote sensing, changes in forests can be studied comprehensively and uniformly across time and space.

Estimates of national forest recreation use are available at the national, regional, and forest levels via the USDA Forest Service National Visitor Use Monitoring (NVUM) program. In some resource planning and management applications, analysts desire recreation use estimates for subforest areas within an individual national forest or for subforest areas that combine portions of several national forests. In this research note we have detailed two approaches whereby the NVUM sampling data may be used to estimate recreation use for a subforest area within a single national forest or for a subforest area combining portions of more than one national forest. The approaches differ in their data requirements, complexity, and assumptions. In the "new forest" approach, recreation use is estimated by using NVUM data obtained only from NVUM interview sites within the area of interest. In the "all-forest information" approach, recreation use is estimated by using sample data gathered on all portions of the national forest(s) that contain the area of interest.

Lichens are one of several forest health indicators sampled every year for a subset of plots on the permanent grid established by the Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service. This report reviews analysis procedures for standard FIA lichen indicator data. Analyses of lichen data contribute to state, regional, and national reports that evaluate spatial pattern and temporal trends in forest biodiversity, air quality, and climate.

Understanding the capacity to reduce wildfire risk and restore dry forests on Western national forests is a key part of prioritizing new accelerated restoration programs initiated by the Forest Service.

Forest disturbances are increasing in extent and intensity, annually altering the structure and function of affected systems across millions of acres. Land managers need rapid assessment tools that can be used to characterize disturbance events across space and to meet forest planning needs.

Canadian ratings firm NUMERIS has released data showing radio retaining 88% of its weekly reach during the pandemic in CANADA. The number, at 93% for adults 18+ in metered markets last FALL, … more

Research Highlights: The PCORnet Blood Pressure Control Laboratory, a new collaborative partnership, analyzed electronic health record data from nearly 1.5 million patients including almost 6 million ambulatory visits with blood pressure measures. ...

DALLAS, April 3, 2020 —As physicians, scientists and researchers worldwide struggle to understand the coronavirus (COVID-19) pandemic, the American Heart Association is developing a novel registry to aggregate data and aid research on the disease,...

Do you want to duplicate your WordPress database using phpMyAdmin? WordPress stores all your website data in a MySQL database. Sometimes you may need to quickly clone a WordPress database to transfer a website or to create manual backups.

https://www.anychart.com/blog/2020/05/06/javascript-choropleth-map-tutorial/

https://www.smashingmagazine.com/2020/05/vue-survey-app-firebase-authentication-database/

Not an infographic today.

Free online classes, discounts on software, extended trial periods, free online data sources, etc. as a result of the COVID-19 pandemic.

As the Organizer for the DFW Data Visualization Meetup Group, I've started this publicly viewable Google Sheet for the local DataViz community listing various resources that companies are making available during the pandemic. Turns out, these are valuable to DataViz designers everywhere, not just DFW, so I'm sharing the link with all of you.

I’ll continue to update this list as I learn about new resources during the pandemic. Please use the submission link in the spreadsheet if you know of any DataViz-related offers or deals I should add!

-Randy

COVID-19 (aka Coronavirus) has obviously been a hot topic recently, especially within the media. But how dangerous is this new virus?

The Covid-19 #Coronavirus Infographic Data Pack on Information is Beautiful gathers the current data around the world (version above is from March 31, 2020) and makes the virus more tangible to understand. The infographic makes comparisons to other diseases when it comes to incubation times and number of deaths, as well as reporting who is dying from it.

Created by David McCandless, Omid Kashan, Fabio Bergamaschi, Dr Stephanie Starling, Univers Labs

From Information Is Beautiful:

We made an infographic of the best COVID-19 / Coronavirus charts floating around, plus some of our own – all with the latest data

We’ll plan to keep it updated every few days.

They have also made all of their data accessible with a Google Sheet link: bit.ly/COVID19-DATA

With so many good and bad COVID-19 charts being published at a frantic pace, I can appreciate the design and effort here to gather some of the best data and the best visualizations together in one place.

In this tutorial, you’ll be building a Survey App, where we’ll learn to validate our users form data, implement Authentication in Vue, and be able to receive survey data using Vue and Firebase (a BaaS platform). As we build this app, we’ll be learning how to handle form validation for different kinds of data, including reaching out to the backend to check if an email is already taken, even before the user submits the form during sign up.

We all use data all the time, but what exactly is data? How do different programs know what to do with our data? How is visualizing data different from other uses of data? And isn’t everything inside a computer data in the end? The latest episode of eagereyesTV looks at what data is and what […]

Visualization turns data into images, but are images themselves data? There are often claims that they are, but then you mostly see the images themselves without much additional data. In this video, I look at image browsers, a project classifying selfies along a number of criteria, and the additional information stored in HEIC that makes […]

One proves the existence and uniqueness of a generalized (mild) solution for the nonlinear Fokker--Planck equation (FPE) egin{align*} &u_t-Delta (eta(u))+{mathrm{ div}}(D(x)b(u)u)=0, quad tgeq0, xinmathbb{R}^d, d e2, \ &u(0,cdot)=u_0,mbox{in }mathbb{R}^d, end{align*} where $u_0in L^1(mathbb{R}^d)$, $etain C^2(mathbb{R})$ is a nondecreasing function, $bin C^1$, bounded, $bgeq 0$, $Din(L^2cap L^infty)(mathbb{R}^d;mathbb{R}^d)$ with ${ m div}, Din L^infty(mathbb{R}^d)$, and ${ m div},Dgeq0$, $eta$ strictly increasing, if $b$ is not constant. Moreover, $t o u(t,u_0)$ is a semigroup of contractions in $L^1(mathbb{R}^d)$, which leaves invariant the set of probability density functions in $mathbb{R}^d$. If ${ m div},Dgeq0$, $eta'(r)geq a|r|^{alpha-1}$, and $|eta(r)|leq C r^alpha$, $alphageq1,$ $alpha>frac{d-2}d$, $dgeq3$, then $|u(t)|_{L^infty}le Ct^{-frac d{d+(alpha-1)d}} |u_0|^{frac2{2+(m-1)d}},$ $t>0$, and the existence extends to initial data $u_0$ in the space $mathcal{M}_b$ of bounded measures in $mathbb{R}^d$. The solution map $mumapsto S(t)mu$, $tgeq0$, is a Lipschitz contractions on $mathcal{M}_b$ and weakly continuous in $tin[0,infty)$. As a consequence for arbitrary initial laws, we obtain weak solutions to a class of McKean-Vlasov SDEs with coefficients which have singular dependence on the time marginal laws.

Willems et al.'s fundamental lemma asserts that all trajectories of a linear system can be obtained from a single given one, assuming that a persistency of excitation condition holds. This result has profound implications for system identification and data-driven control, and has seen a revival over the last few years. The purpose of this paper is to extend Willems' lemma to the situation where multiple (possibly short) system trajectories are given instead of a single long one. To this end, we introduce a notion of collective persistency of excitation. We will then show that all trajectories of a linear system can be obtained from a given finite number of trajectories, as long as these are collectively persistently exciting. We will demonstrate that this result enables the identification of linear systems from data sets with missing data samples. Additionally, we show that the result is of practical significance in data-driven control of unstable systems.

In this paper we design suboptimal control laws for an unknown linear system on the basis of measured data. We focus on the suboptimal linear quadratic regulator problem and the suboptimal H2 control problem. For both problems, we establish conditions under which a given data set contains sufficient information for controller design. We follow up by providing a data-driven parameterization of all suboptimal controllers. We will illustrate our results by numerical simulations, which will reveal an interesting trade-off between the number of collected data samples and the achieved controller performance.

We consider two special cases of the connection problem for the second Painlev'e equation (PII) using the method of uniform asymptotics proposed by Bassom et al.. We give a classification of the real solutions of PII on the negative (positive) real axis with respect to their initial data. By product, a rigorous proof of a property associate with the nonlinear eigenvalue problem of PII on the real axis, recently revealed by Bender and Komijani, is given by deriving the asymptotic behavior of the Stokes multipliers.

The characterization of phase dynamics in coupled oscillators offers insights into fundamental phenomena in complex systems. To describe the collective dynamics in the oscillatory system, order parameters are often used but are insufficient for identifying more specific behaviors. We therefore propose a topological approach that constructs quantitative features describing the phase evolution of oscillators. Here, the phase data are mapped into a high-dimensional space at each time point, and topological features describing the shape of the data are subsequently extracted from the mapped points. We extend these features to time-variant topological features by considering the evolution time, which serves as an additional dimension in the topological-feature space. The resulting time-variant features provide crucial insights into the time evolution of phase dynamics. We combine these features with the machine learning kernel method to characterize the multicluster synchronized dynamics at a very early stage of the evolution. Furthermore, we demonstrate the usefulness of our method for qualitatively explaining chimera states, which are states of stably coexisting coherent and incoherent groups in systems of identical phase oscillators. The experimental results show that our method is generally better than those using order parameters, especially if only data on the early-stage dynamics are available.

Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, the rapid advancement in digital photography has greatly reshaped the pipeline of image capturing process on consumer-level mobile devices. The flexibility of camera parameter settings and the emergence of multi-frame photography algorithms, especially high dynamic range (HDR) imaging, bring new challenges to device fingerprinting. The subsequent study on these topics requires a new purposefully built image dataset. In this paper, we present the Warwick Image Forensics Dataset, an image dataset of more than 58,600 images captured using 14 digital cameras with various exposure settings. Special attention to the exposure settings allows the images to be adopted by different multi-frame computational photography algorithms and for subsequent device fingerprinting. The dataset is released as an open-source, free for use for the digital forensic community.

This paper describes a dataset and protocols for evaluating continuous speech separation algorithms. Most prior studies on speech separation use pre-segmented signals of artificially mixed speech utterances which are mostly emph{fully} overlapped, and the algorithms are evaluated based on signal-to-distortion ratio or similar performance metrics. However, in natural conversations, a speech signal is continuous, containing both overlapped and overlap-free components. In addition, the signal-based metrics have very weak correlations with automatic speech recognition (ASR) accuracy. We think that not only does this make it hard to assess the practical relevance of the tested algorithms, it also hinders researchers from developing systems that can be readily applied to real scenarios. In this paper, we define continuous speech separation (CSS) as a task of generating a set of non-overlapped speech signals from a extit{continuous} audio stream that contains multiple utterances that are emph{partially} overlapped by a varying degree. A new real recorded dataset, called LibriCSS, is derived from LibriSpeech by concatenating the corpus utterances to simulate a conversation and capturing the audio replays with far-field microphones. A Kaldi-based ASR evaluation protocol is also established by using a well-trained multi-conditional acoustic model. By using this dataset, several aspects of a recently proposed speaker-independent CSS algorithm are investigated. The dataset and evaluation scripts are available to facilitate the research in this direction.