SunwayMR: A distributed parallel computing framework with convenient data-intensive applications programming

Reconfigure and evaluate consumer satisfaction for Open API in advancing FinTech

CORDITE: The Curated CORona Drug InTERactions Database for SARS-CoV-2

The aim of this system is to use open source APIs to invoke and process the results of the Web services and to apply confidentiality and integration to the result of the Web services. In this system Web Services are requested using URL (Uniform Resource Locator) query to the WWW instead of SOAP message. When invoking the web services using JAX-RPC (Java Api for Xml-Based Remote Procedure Call) with SOAP request, the result returned may not be received properly due to de-serialization problem of complex XML data sets. Therefore it is required to invoke such services by submitting the query as URL query and received the results as XML data set. This XML data set may be hampered by man-in-middle attack during transfer. Hence this system uses open source APIs for providing XML signature and XML encryption. At the receiver after decryption and integrity check, the required node from XML data set is extracted and presented to the user. This article is focused on usage of open source APIs (Application program interface) for invoking web services as Restful Web services, applying XML signature and XML encryption, parsing the XML result after reverse process at receiver side and extracting the required nodes according to the user given condition. The problem of de-serialization in receiving huge XML result is resolved in the proposed system.

This paper aims to analyze the current context of Application Programming Interface (API) technology, with focus in External API (Public API or Open API) by news organizations. The adoption of API has been considered a technological strategy that introduces innovation processes in media groups. This technological approach allows the public access to data, increase the distribution of journalistic information and transparency which improves the credibility of organizations. However, there is not a pattern strategic in the use of API adopted by news organizations and the external developers have used various technologies, named toolkit, to store, process, analyze and visualize data. The study cases were The New York Times, The Guardian, NPR and, ESPN.

Public Windows Interface (PWI) is an effort by several computer industry leaders to ensure that the Microsoft Windows application programming interface (API) moves into the world of open systems. By formalizing the existing API as a standard, PWI will provide a snapshot to which developers can refer and upon which they can build their applications. By making PWI an open standard, all parties will have an equal opportunity to compete and to propose future changes. PWI supporters have encouraged Microsoft to submit its complete API to a neutral standards body and to agree to abide by changes and extensions approved by that body. So far, Microsoft has declined to do so. Certain of the technology companies who see the value of creating a formal standard have committed resources to the laborious task of fully and formally documenting the API. These companies will submit the resulting specification to the appropriate neutral standards body upon its completion, where it will be available for all to use at no cost. With PWI as a new standard, users will be able to choose among multiple implementations, leverage their prior investments, and use familiar applications on a host of new devices. Independent software vendors will benefit from a more stable, open API, and will be able to funnel their resources into new development. Systems vendors will broaden the range of applications available for their platforms. In short, PWI will bring the benefits of open systems to the PC world. >

In the rapidly evolving world of open ecosystems, the advent of application programming interfaces (APIs) has transformed how banks and third-party providers interact. This paper explores how innovation and security must be successfully balanced so that end users can seamlessly access new and exciting open banking products and services within a safe and trusted environment. The benefits and impact of APIs are discussed, alongside the role of API standardisation and conformance in mitigating risk. The importance of integrating a bank’s open API strategy within its broader API strategy is emphasised, to maximise value and align with overarching organisational goals. A centralised approach to conformance and the need for robust and efficient trust frameworks are the bedrock of successful open banking ecosystems. Trust, built upon reliability, security and transparency, verifies that rules have been agreed upon and enables their enforcement. Central directories ensure compliance with regulation, streamlining complexities associated with open banking and facilitating secure communication and data exchange between the various participants. The interplay between centralised API conformance and a robust trust framework is explored, highlighting their role in enhancing the integrity of open banking and open data initiatives, with regulators and market infrastructures playing a vital role. They are responsible for mandating open banking and ensuring that safety and security are maintained in this new and interconnected financial landscape. The effective integration of open APIs, the establishment of trust and the commitment to compliance and standardisation all pave the way for a more inclusive and innovative banking experience for all stakeholders.

The authors have been studying ways to configure APLICOT (application platform for integrated database and data communication), a common in-house application program (AP) development environment with the aim of simplifying the job flow of in-house online system building at NTT. The authors report the techniques used to design AP interfaces (APIs) in the APLICOT project and also include an appraisal of their usefulness. APLICOT breaks down all of the different kinds of online application processing at NTT into six major types based on the processing types of messages and files. APLICOT then provides a set of 54 API parts for each type to standardize AP development environments. This set minimizes the total development cost of AP and these API parts. APLICOT's purpose is to standardize AP development support systems while allowing flexibility in the number of required AP programmers and in their tasks. >

The rapidly increasing complexity of integrated circuit design can only be addressed effectively by a design system architecture that supports very efficient, high-quality sharing of IC design data. Integration of the wide variety of tools required to design and verify the performance and quality of ICs can no longer depend on low-bandwidth file formats. Rather, an application programming interface (API) to a standard information model (IM) that provides access to a shared database is an essential infrastructure component of today's IC design systems. Furthermore, this design data API should be standard across the IC CAD industry so that design systems can efficiently draw from best-of-class applications from all sources in the EDA industry. The tight coupling of all tools through a common IM/API enables rapid design convergence with an earlier emphasis on quality issues, which results in higher quality ICs while meeting aggressive time-to-market demands.

Introduction: This paper explores the potential of Linked Data to enhance library catalog records, using the internationally recognized song "The Girl from Ipanema". Method: The famous song was used as a case study to illustrate the possibilities of the usage of a knowledge graph and metadata (authority and bibliographic data) enrichment. Results: By applying Linked Data principles, the study demonstrates how metadata enrichment can improve access and discoverability in library systems. This is achieved by including International Resource Identifiers (IRIs), the utilization of external sources such as the Virtual International Authority File (VIAF), and the Last.fm application programming interface (API). In addition, a knowledge graph was introduced as a tool for providing structured relationships with bibliographic entities within a catalog. Conclusions: The Last.fm open API is used to enrich metadata, offer track listings, and add album art to search results, thus enhancing user experience and information retrieval. The case study includes a knowledge graph in the online library catalog.

Twitter is a social media (SM) platform that rapidly generates electronic word of mouth (e-WOM). Marketer-generated content (MGC) is controllable and could enhance the positive e-WOM. Hence, in this study, the author examined the characteristics of MGC and reactions from followers based on Thai banks' Twitter accounts. The author collected a total of 10,000 tweets from nine banks in Thailand—both high- and low-performing banks. The author conducted research with natural language processing (NLP) to uncover intents using an open application programming interface (API). The author used three data-mining techniques—association, clustering, and classification. The Twitter strategies of banks with high and low performances are quite similar. The sentiment is the intent type that dominates Thai banks' intent strategies. Several intents could be combined to draw e-WOM in terms of favorites (FAV) and retweets (RT). Six intent patterns (clusters) were extracted. Some of these clusters are classifiers for FAV and non-FAV tweets. This study guides the application of data mining in business research and suggests MGC strategies for marketers.

Effectively querying unstructured text information in large databases is a highly demanding task. Conventional approaches, such as an exact match or fuzzy search, return valid and thorough results only when the user query adequately matches the wording within the text or the query is included in keyword-tag lists. The GEOSS portal relies on conventional search tools for data and services exploration and retrieval, limiting its capacity. This challenge, recent advances in Artificial Intelligence (AI)-based Natural Language Processing (NLP) try to surpass with enhanced information retrieval and cognitive search. Rather than relying on exact or fuzzy text matching, it detects documents that semantically and conceptually are close enough to the search query. The EIFFEL EU-funded project aims to reveal the role of GEOSS as the default Digital Portal for building Climate Change (CC) adaption and mitigation applications and offer the Earth Observation community the ground-breaking capacity of exploiting existing GEOSS datasets. To this end, as a lead technological partner of the EIFFEL consortium, LIBRA AI Technologies, designs and develops an end-to-end advanced cognitive search system dedicated to the GEOSS Portal and exceeds current challenges.The proposed system comprises an AI language model optimized for CC-related text and queries, a framework for collecting a sizeable CC-specific corpus used for the language model specialization, a back-end that adopts modern database technologies with advanced capabilities for embedding-based cognitive search matching, and an open Application Programming Interface (API). The cognitive search component is the backbone of the EIFFEL visualisation engine, which will allow any GEOSS user, as well as the EIFFEL Climate Change application developing teams, to detect GEOSS data objects and services that are of interest for their research and application but could not effectively get accessed with the available GEOSS Portal search engine.The work described in this abstract is part of the EIFFEL European project. The EIFFEL project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101003518. We thank all partners for their valuable contributions.

The anatomy of tweet overload: How number of tweets received, number of friends, and egocentric network density affect perceived information overload

BackgroundLeaf vein networks are critical to both the structure and function of leaves. A growing body of recent work has linked leaf vein network structure to the physiology, ecology and evolution of land plants. In the process, multiple institutions and individual researchers have assembled collections of cleared leaf specimens in which vascular bundles (veins) are rendered visible. In an effort to facilitate analysis and digitally preserve these specimens, high-resolution images are usually created, either of entire leaves or of magnified leaf subsections. In a few cases, collections of digital images of cleared leaves are available for use online. However, these collections do not share a common platform nor is there a means to digitally archive cleared leaf images held by individual researchers (in addition to those held by institutions). Hence, there is a growing need for a digital archive that enables online viewing, sharing and disseminating of cleared leaf image collections held by both institutions and individual researchers.DescriptionThe Cleared Leaf Image Database (ClearedLeavesDB), is an online web-based resource for a community of researchers to contribute, access and share cleared leaf images. ClearedLeavesDB leverages resources of large-scale, curated collections while enabling the aggregation of small-scale collections within the same online platform. ClearedLeavesDB is built on Drupal, an open source content management platform. It allows plant biologists to store leaf images online with corresponding meta-data, share image collections with a user community and discuss images and collections via a common forum. We provide tools to upload processed images and results to the database via a web services client application that can be downloaded from the database.ConclusionsWe developed ClearedLeavesDB, a database focusing on cleared leaf images that combines interactions between users and data via an intuitive web interface. The web interface allows storage of large collections and integrates with leaf image analysis applications via an open application programming interface (API). The open API allows uploading of processed images and other trait data to the database, further enabling distribution and documentation of analyzed data within the community. The initial database is seeded with nearly 19,000 cleared leaf images representing over 40 GB of image data. Extensible storage and growth of the database is ensured by using the data storage resources of the iPlant Discovery Environment. ClearedLeavesDB can be accessed at http://clearedleavesdb.org.

Although there has been much interest in computational photography within the research and photography communities, progress has been hampered by the lack of a portable, programmable camera with sufficient image quality and computing power. To address this problem, we have designed and implemented an open architecture and application programming interface (API) for such cameras: the Frankencamera. It consists of a base hardware specification, a software stack based on Linux, and an API for C++. Our architecture permits control and synchronization of the sensor and image processing pipeline at the microsecond timescale, as well as the ability to incorporate and synchronize external hardware like lenses and flashes. This paper specifies our architecture and API, and it describes two reference implementations we have built. Using these implementations, we demonstrate several computational photography applications: high dynamic range (HDR) viewfinding and capture, automated acquisition of extended dynamic range panoramas, foveal imaging, and inertial measurement unit (IMU)-based hand shake detection. Our goal is to standardize the architecture and distribute Frankencameras to researchers and students, as a step toward creating a community of photographer-programmers who develop algorithms, applications, and hardware for computational cameras.

Network Exposure Function (NEF) enables third-party application providers utilize the network capabilities and services that the 5G System offers. The 3 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> Generation Partnership Project (3GPP) provides open standardized Application programming Interfaces (API) through NEF; however, a big gap appears in the market between mobile operators and service providers since no commercial solutions are available. In this context, the NEF’s standardized APIs offered by 3GPP are examined. As a result of this analysis an open-source simulator “NEFSim” is presented. NEFSim realizes the aspects of the NEF and enables application developers to experiment with the northbound APIs under a simulated, configurable environment.