DSTR-DFSECO - The digital financial services ecosystem

DSTR-DFSREG - Regulation in the digital financial services ecosystem

DSTR-DFSSNDL - Impact of social networks on digital liquidity

DSTR-DFSCA - Competition aspects of digital financial services

DSTR-DFSRP - The regulator's perspective on the right timing for inducing interoperability

DSTR-DFSPI - Access to payment infrastructures

DSTR-DFSUAAFR - Review of DFS user agreements in Africa: A consumer protection perspective

DSTR-DFSCP-Commonly identified consumer protection themes for digital financial services

DSTR-DFSMR-Main recommendations

QSTR-SS7-DFS - SS7 vulnerabilities and mitigation measures for digital financial services transactions

FIGI - DFS - Digital Financial Services Consumer Competency Framework

FIGI - DFS - Security testing for USSD and STK based Digital Financial Services applications

FIGI - DFS - Technical Report on Methodology for inter-operator and cross-border P2P money transfers

FIGI - DFS - Security analysis of the KaiOS feature phone platform for DFS applications

FIGI - DFS - Digital Financial Services Security Assurance Framework

FIGI - DFS - e-KYC use cases in Digital Financial Services

FIGI - DFS - Technical report - Digital Financial Services security audit guideline

FIGI - DFS - Report - Security audit of various DFS applications

FIGI - DFS - Use of telecommunications data for digital financial inclusion

FIGI - DFS - Big data machine learning consumer protection and privacy

FIGI - DFS - Technical Report on SS7 Vulnerabilities and mitigation measures for DFS transactions

FIGI - DFS - Implementation of secure authentication technologies for digital financial services

FIGI - DFS - Technical Report on SS7 Vulnerabilities and mitigation measures for DFS transactions

Methodology for measurement of Quality of Service (QoS) Key Performance Indicators (KPIs) for DFS

The Human Development and Family Studies program at Penn State DuBois recently held two panel events aimed at preparing students for life after graduation. The first event, the annual grad school panel, took place on Sept. 12, while the second event, the internship panel, was hosted on Sept. 19.

Read the in depth Review of Akai 43-inch Full-HD Fire TV Edition (AKLT43S-DFS6T) TV. Know detailed info about Akai 43-inch Full-HD Fire TV Edition (AKLT43S-DFS6T) configuration, design and performance quality along with pros & cons, Digit rating, verdict based on user opinions/feedback.

Lexicographic Depth First Search (LexDFS) is a special variant of a Depth First Search (DFS), which was introduced by Corneil and Krueger in 2008. While this search has been used in various applications, in contrast to other graph searches, no general linear time implementation is known to date. In 2014, K"ohler and Mouatadid achieved linear running time to compute some special LexDFS orders for cocomparability graphs. In this paper, we present a linear time implementation of LexDFS for chordal graphs. Our algorithm is able to find any LexDFS order for this graph class. To the best of our knowledge this is the first unrestricted linear time implementation of LexDFS on a non-trivial graph class. In the algorithm we use a search tree computed by Lexicographic Breadth First Search (LexBFS).

Selecting an appropriate model to forecast product demand is critical to the manufacturing industry. However, due to the data complexity, market uncertainty and users' demanding requirements for the model, it is challenging for demand analysts to select a proper model. Although existing model selection methods can reduce the manual burden to some extent, they often fail to present model performance details on individual products and reveal the potential risk of the selected model. This paper presents DFSeer, an interactive visualization system to conduct reliable model selection for demand forecasting based on the products with similar historical demand. It supports model comparison and selection with different levels of details. Besides, it shows the difference in model performance on similar products to reveal the risk of model selection and increase users' confidence in choosing a forecasting model. Two case studies and interviews with domain experts demonstrate the effectiveness and usability of DFSeer.

(California Court of Appeal) - Held that a county tax assessor incorrectly determined the value, for property tax purposes, of a concessionaire's lease at San Francisco International Airport.

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Pdfsearchhouse.com is an address of a fake search engine which is promoted through a potentially unwanted application (PUA), a browser hijacker. Typically, fake search engines are promoted by changing certain browser's settings. Additionally, apps of this type often are designed to collect various information related to user's browsing activities. Browser hijackers are categorized as PUAs because in most cases users download and install them unintentionally.

Millions of people around the world have started working from home to limit the spread of coronavirus and now a simple scanning trick to make work easier has been revealed.