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A future triple entry accounting framework using blockchain technology

Blockchain(Research and applications) 2021年第4期2卷 56-63页

作者： Moinak Maiti Ivan Kotliarov Vitalii Lipatnikov Department of Finance National Research University-Higher School of EconomicsSaint Petersburg194100Russia Centre for Applied Research and Development National Research University Higher School of EconomicsSaint Petersburg194100Russia Saint Petersburg State University of Economics St Petersburg191023Russia

The study adopts a single case study approach to bring into conversation,ideas,and views of several scholars on triple entry accounting(TEA).The development of blockchain technology already drives the conscious move towards the *** TEA is currently not being used in any significant way but is in a greater debate whether it is worth adopting such alternative accounting practices as the *** to the TEA system is challenging and at present,it is just a fascinating mental *** these backdrops,the present study discusses the likelihood cases of future accounting practice namely:(Ⅰ)Sophisticated Accounting Software based on the double entry accounting(DEA);(Ⅱ)Combination of Blockchain and TEA;and(Ⅲ)Combination of disruptive technologies in addition to Blockchain and ***,the study concludes with describing the basic architecture of a potential system of triple-entry accounting that could support the TEA system to deliver real-time insights into business ***,the study plotted a hype cycle for accounting technologies to help global organizations identify the relevant accounting technologies and applications.

关键词： Double entry accounting Triple entry accounting application programming interface Edge computing Blockchain

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Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems

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IT PROFESSIONAL 2024年第5期26卷 55-61页

作者： Conde, Javier Munoz-Arcentales, Andres Alonso, Alvaro Salvachua, Joaquin Huecas, Gabriel Univ Politecn Madrid Escuela Tecn Super Ingn Telecomun Dept Ingn Sistemas Telemat Madrid 28040 Spain

The rise of AI and the Internet of Things is accelerating the digital transformation of society. Mobility computing presents specific barriers due to its real-time requirements, decentralization, and connectivity through wireless networks. New research on edge computing and tiny machine learning (tinyML) explores the execution of AI models on low-performance devices to address these issues. However, there are not many studies proposing agnostic architectures that manage the entire lifecycle of intelligent cyberphysical systems. This article extends a previous architecture based on FIWARE software components to implement the machine learning operations flow, enabling the management of the entire tinyML lifecycle in cyberphysical systems. We also provide a use case to showcase how to implement the FIWARE architecture through a complete example of a smart traffic system. We conclude that the FIWARE ecosystem constitutes a real reference option for developing tinyML and edge computing in cyberphysical systems.

关键词： Tiny Machine Learning Wireless Networks Digital Transformation Ecosystems Computer Architecture Cyber Physical Systems Software Real Time Systems Internet Of Things Edge Computing Machine Learning Mobile System Cyber Physical Systems Machine Learning Operations Urban Mobility Systems Tiny Machine Learning Cloud Computing Internet Of Things Physical Body Wireless Networks Real Time Performance application programming interface Physical World Internet Of Things Devices Edge Computing Software Components Traffic System Digital Twin Deployment Model Cloud Processing ML Models Vehicle Density Data Model

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AN ELECTRONIC PRESCRIBING SYSTEM FOR TELECONSULTATION USING HEALTHCARE 5.0 INNOVATIONS

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FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY 2024年第9N10期32卷

作者： Al-anazi, Reema g. Singla, Chinu Alzaidi, Muhammad swaileh a. Alamgeer, Mohammad Asklany, Somia a. Taneja, Nivedita Almukadi, Wafa sulaiman Mohamed, Abdelmoneim ali Princess Nourah Bint Abdulrahman Univ Coll Humanities & Social Sci Dept Arab Language & Literature POB 84428 Riyadh 11671 Saudi Arabia Punjabi Univ Dept Comp Sci & Engn Patiala Punjab India King Saud Univ Coll Language Sci Dept English Language POB 145111 Riyadh Saudi Arabia King Khalid Univ Appl Coll Mahayil Dept Informat Syst Abha Saudi Arabia Turaif Northern Border Univ Fac Sci & Arts Dept Comp Sci & Informat Technol Ar Ar 91431 Saudi Arabia Modern Acad Sci & Technol Cairo Egypt Thapar Inst Engn & Technol Dept Comp Sci & Engn Patiala India Univ Jeddah Coll Engn & Comp Sci Dept Software Engn Jeddah Saudi Arabia Majmaah Univ Coll Comp & Informat Sci Dept Informat Syst Al Majmaah 11952 Saudi Arabia

This study explores the integration of Industry 5.0 innovations into the healthcare sector to address prevalent issues related to prescription errors, drug side effects, and healthcare accessibility. It introduces a novel system that enables healthcare professionals to create prescriptions efficiently through voice commands and facilitates secure delivery to patients via email or SMS. Additionally, the research discusses the potential of digitizing the medical sector to reduce paper usage. By providing an accessible alternative to self-medication, this system aims to enhance patient safety and mitigate the risks associated with misconceptions regarding self-treatment. This paper seeks to introduce and assess an innovative fractal electronic prescription system that uses Healthcare 5.0 technologies within the framework of teleconsultation. It aims to tackle the constraints and drawbacks associated with conventional prescription approaches by putting forth cutting-edge technologies and telecommunication functionalities to elevate the effectiveness, precision, and patient-centric nature of the prescription procedure.

关键词： Natural Language Processing application programming interface Industry 5.0 Fractal Voice-based E-prescription Speech Recognition Google Web Speech

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Effects of end wall geometry and stacking on supersonic turbine performance

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JOURNAL OF PROPULSION AND POWER 2002年第6期18卷 1305-1308页

作者： Dorney, DJ Griffin, LW Huber, FW Sondak, DL NASA George C Marshall Space Flight Ctr Fluid Dynam Anal Branch Huntsville AL 35812 USA Riverbend Design Serv Palm Beach Gardens FL 33418 USA Boston Univ Off Informat Technol Boston MA 02215 USA

A set of unsteady 3D Navier-Stokes simulations was used to investigate the effects of end-wall shape and first-stage vane stacking on the performance of a two-stage supersonic turbine. Restacking of the vanes was successfully used to eliminate a large separated/secondary flow region at the hub between the first-stage vanes and rotors. Altering the shape of the end wall in the first stage had little effect on the separated flow region. There was a significant performance increase obtained at the design flow conditions by reducing the separated flow region. It is anticipated that the benefits of improving the behavior of the flow near the end wall will be even greater at off-design operating conditions. (CSA)

关键词： Supersonic Turbines Mach Number Ion Thruster Reynolds Averaged Navier Stokes Message Passing interface application programming interface Turbulence Models Static Pressure Propellant Eddy Viscosity

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Pair programming With Generative AI

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IEEE SOFTWARE 2024年第3期41卷 16-18页

作者： Spinellis, Diomidis Athens Univ Econ & Business Dept Management Sci & Technol Athens 10434 Greece Delft Univ Technol Software Analyt Dept Software Technol NL-2600 AA Delft Netherlands

Generative AI based on large-language models is significantly impacting software development through IDE assistants, cloud-based APIs, and interactive chatbots for coding assistance. It excels in generating and translating code and data, navigating APIs, and creating boilerplate content, thereby enhancing productivity. However, it is prone to generating inaccurate information ("hallucinations"), erroneous code, and potentially introducing security vulnerabilities. To counter these risks, employing automated analysis tools, conducting rigorous testing, and maintaining a deep understanding of computer science concepts are essential. While generative AI can substantially aid development tasks it is not a replacement for human expertise, especially in understanding complex software, its requirements, and architecture.

关键词： Generative Adversarial Networks Artificial Intelligence Codes Security Navigation Encoding Large Language Models Analytical Models Fake News Information Integrity Human Factors Chatbots Pair programming Software Development application programming interface Security Vulnerabilities Open Source Software Coded Based Static Analysis International Organization For Standardization Software Libraries Java Script

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Georgia Tech Space Object Research Telescope

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JOURNAL OF SPACECRAFT AND ROCKETS 2017年第6期54卷 1399-+页

作者： Coder, Ryan D. Jaunzemis, Andris D. Mathew, Midhun V. Worthy, Johnny L. Holzinger, Marcus J. Georgia Inst Technol Sch Aerosp Engn 270 Ferst Drive Atlanta GA 30332 USA

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Standardized Data, Scalable Documentation, Sustainable Storage - EnzymeML as a Basis for FAIR Data Management in Biocatalysis

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CHEMCATCHEM 2021年第18期13卷 3909-3913页

作者： Pleiss, Juergen Univ Stuttgart Inst Biochem & Tech Biochem Allmandring 31 D-70569 Stuttgart Germany

The often reported reproducibility crisis in the biomedical sciences also applies to enzymology and biocatalysis, and mainly results from incomplete reporting of reaction conditions. In this Concept article, an infrastructure based on EnzymeML is sketched, which enables reporting, exchange, and storage of enzymatic data according to the FAIR data principles. EnzymeML is a novel data exchange format for enzymology and biocatalysis, which facilitates the application of the STRENDA Guidelines and thus makes data on enzyme-catalyzed reactions findable, accessible, interoperable, and reusable. EnzymeML enables the comprehensive documentation of metadata, thus fostering reproducibility and replicability in enzymology and biocatalysis. An EnzymeML application programming interface integrates electronic lab notebooks with modelling platforms and databases on enzymatic reactions, and thus enables the seamless flow of enzymatic data from measurement to modelling to publication, without the need for manual intervention such as reformatting or editing. EnzymeML serves as a valuable tool for the design of biocatalytic experiments and contributes to the vision of a unified research data infrastructure for catalysis research.

关键词： application programming interface enzymatic reactions FAIR data principles reproducibility crisis STRENDA Guidelines

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Macrostrat: A Platform for Geological Data Integration and Deep-Time Earth Crust Research

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GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS 2018年第4期19卷 1393-1409页

作者： Peters, Shanan E. Husson, Jon M. Czaplewski, John Univ Wisconsin Dept Geosci Madison WI 53706 USA Univ Victoria Sch Earth & Ocean Sci Victoria BC Canada

Characterizing the lithology, age, and physical-chemical properties of rocks and sediments in the Earth's upper crust is necessary to fully assess energy, water, and mineral resources and to address many fundamental questions. Although a large number of geological maps, regional geological syntheses, and sample-based measurements have been produced, there is no openly available database that integrates rock record-derived data, while also facilitating large-scale, quantitative characterization of the volume, age, and material properties of the upper crust. Here we describe Macrostrat, a relational geospatial database and supporting cyberinfrastructure that is designed to enable quantitative spatial and geochronological analyses of the entire assemblage of surface and subsurface sedimentary, igneous, and metamorphic rocks. Macrostrat contains general, comprehensive summaries of the age and properties of 33,903 lithologically and chronologically defined geological units distributed across 1,474 regions in North and South America, the Caribbean, New Zealand, and the deep sea. Sample-derived data, including fossil occurrences in the Paleobiology Database, more than 180,000 geochemical and outcrop-derived measurements, and more than 2.3 million bedrock geologic map units from over 200 map sources, are linked to specific Macrostrat units and/or lithologies. Macrostrat has generated numerous quantitative results and its infrastructure is used as a data platform in several independently developed mobile applications. It is necessary to expand geographic coverage and to refine age models and material properties to arrive at a more precise characterization of the upper crust globally and test fundamental hypotheses about the long-term evolution of Earth systems.

关键词： stratigraphy geology geochronology geologic map geoinformatics database application programming interface

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GPUs Go Mobile

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COMPUTER 2013年第2期46卷 16-19页

作者： Garber, Lee

Mobile GPUs will need substantial improvements to enable wireless devices to perform the complex graphics-related functions that many manufacturers, developers, and users want.

关键词： So Cs Mobile Graphics Processing Unit GP Us Mobile GP Us Unified Memory API application programming interface GPGP Us General Purpose GP Us System On Chip

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FDR Explorer

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ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE 2007年 187卷 19-34页

作者： Freitas, Leo Woodcock, Jim Univ York Dept Comp Sci York YO10 5DD N Yorkshire England

In this paper we describe the internal structures of FDR, the refinement model checker for Hoare's Communicating Sequential Processes (CSP), as well as an application programming interface (API) allowing one to interact more closely with, and have fine grained control over, FDR's behaviour and data structures. With such information it is possible to create optimised CSP code to perform refinement checks that are more space/time efficient, hence enabling the analysis of more complex and data intensive specifications. This information is very valuable for both CSP users and tools that automatically generate CSP code, such as those related to security analysis generating test-cases as CSP processes. We also present a simple example of using the tool. Finally, we show how one can transform FDR's graph format into a graph notation (e.g., JGraph), hence enabling visualisation of Labelled Transition Systems (LTS) of CSP specifications.

关键词： refinement model checking CSP FDR Labelled Transition Systems application programming interface

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