scholarly journals EnzymeML – a data exchange format for biocatalysis and enzymology

2021 ◽  
Author(s):  
Jan Range ◽  
Colin Halupczok ◽  
Jens Lohmann ◽  
Neil Swainston ◽  
Carsten Kettner ◽  
...  
Keyword(s):  
Data Exchange ◽  
Kinetic Modelling ◽  
Enzymatic Reaction ◽  
Application Programming Interface ◽  
Reaction Conditions ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Systems Biology Markup Language ◽  
Application Programming ◽  
Time Courses

EnzymeML is an XML–based data exchange format that supports the comprehensive documentation of enzymatic data by describing reaction conditions, time courses of substrate and product concentrations, the kinetic model, and the estimated kinetic constants. EnzymeML is based on the Systems Biology Markup Language, which was extended by implementing the STRENDA Guidelines. An EnzymeML document serves as a container to transfer data between experimental platforms, modelling tools, and databases. EnzymeML supports the scientific community by introducing a standardised data exchange format to make enzymatic data findable, accessible, interoperable, and reusable according to the FAIR data principles. An Application Programming Interface in Python and Java supports the integration of applications. The feasibility of a seamless data flow using EnzymeML is demonstrated by creating an EnzymeML document from a structured spreadsheet or from a STRENDA DB database entry, by kinetic modelling using the modelling platform COPASI, and by uploading to the enzymatic reaction kinetics database SABIO-RK.

Verzahnungsmesstechnik 2021

2021 ◽  
Keyword(s):  
Data Exchange ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Aktuelle Entwicklungen

Inhalt Normung & Richtlinien Normung in der Zahnradmesstechnik – Stand und aktuelle Entwicklungen . . . . 1 Aktuelle Arbeiten des FA 3.61 Verzahnungsmesstechnik, neue Richtlinien . . . . . 7 Die Hirth-Verzahnung – ein Klassiker etabliert sich als moderne Welle-Nabe-Verbindung . . . .23 Berührungslose Messung Optische Verzahnungsmessung, schnell und hochgenau? – Hybride Verzahnungsmessung mit Klingelnberg . . . . . . .35 Weniger Zähne knirschen – Vollständige und flächenhafte Auswertung von Verzahnungsgeometrien verschieden großer Werkstücke aus einer Hand . . . . .47 Einsatz optischer Messtechnik für die Qualitätsprüfung von linearen Zahnstangen – Durchsatz, Genauigkeit und Flexibilität durch variable Inspektion . . . . . 55 Geräuschentwicklung & Ursachen Vom Geräusch zur Ursache: Entstehung von Welligkeiten auf Verzahnungen . . . . . .69 Verzahnungsgeräusche – Beispiele zu ursächlichen Geometrieabweichungen an Verzahnungen. . . . . . . .83 Digitalisierung & Software GDE – Gear Data Exchange Format – Durchgängiger Datenaustausch in der Zahnradproduktion . . . . ....

scholarly journals Recent Trends in JSON Filters

2021 ◽  
pp. 87-93
Author(s):  
Atul Jain ◽  
ShashiKant Gupta
Keyword(s):  
Programming Language ◽  
Web Application ◽  
Data Exchange ◽  
Web Applications ◽  
Data Format ◽  
Data Exchange Format ◽  
Exchange Format ◽  
Recent Trends ◽  
Client Side ◽  
Extract Information

JavaScript Object Notation is a text-based data exchange format for structuring data between a server and web application on the client-side. It is basically a data format, so it is not limited to Ajax-style web applications and can be used with API’s to exchange or store information. However, the whole data never to be used by the system or application, It needs some extract of a piece of requirement that may vary person to person and with the changing of time. The searching and filtration from the JSON string are very typical so most of the studies give only basics operation to query the data from the JSON object. The aim of this paper to find out all the methods with different technology to search and filter with JSON data. It explains the extensive results of previous research on the JSONiq Flwor expression and compares it with the json-query module of npm to extract information from JSON. This research has the intention of achieving the data from JSON with some advanced operators with the help of a prototype in json-query package of NodeJS. Thus, the data can be filtered out more efficiently and accurately without the need for any other programming language dependency. The main objective is to filter the JSON data the same as the SQL language query.

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