TranSyT, the Transport Systems Tracker

The importance and rate of development of GSM models have been growing for the last years, increasing the demand for software solutions that automatise several steps of this process. However, since TRIAGE's release, software development for automatic integration of transport reactions into models has stalled. Here we present the Transport Systems Tracker (TranSyT), the next iteration of TRIAGE. Unlike its predecessor, TranSyT does not rely on manual curation to expand its internal database, derived from highly-curated records retrieved from TCDB and complemented with information from other data sources. TranSyT compiles information regarding TC families, transport proteins, and derives reactions into its internal database, making it available for rapid annotation of complete genomes. All transport reactions have GPR associations and can be exported with identifiers from four different metabolite databases. TranSyT is currently available as a plugin for merlin v4.0 and an app for KBase.

A Multi-Faceted Strategy for Evidence Translation Reduces Healthcare Waiting Time: A Mixed Methods Study Using the RE-AIM Framework

Background: Waiting lists are often thought to be inevitable in healthcare, but strategies that address patient flow by reducing complexity, combining triage with initial management, and/or actively managing the relationship between supply and demand can work. One such model, Specific Timely Appointments for Triage (STAT), brings these elements together and has been found in multiple trials to reduce waiting times by 30–40%. The next challenge is to translate this knowledge into practice.Method: A multi-faceted knowledge translation strategy, including workshops, resources, dissemination of research findings and a community of practice (CoP) was implemented. A mixed methods evaluation of the strategy was conducted based on the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework, drawing on an internal database and a survey of workshop and CoP participants.Results: Demonstrating reach, at July 2020 an internal database held details of 342 clinicians and managers from 64 health services who had participated in the workshop program (n = 308) and/or elected to join an online CoP (n = 227). 40 of 69 (58%) respondents to a survey of this population reported they had adopted the model, with some providing data demonstrating that the STAT model had been efficacious in reducing waiting time. Perceived barriers to implementation included an overwhelming existing waiting list, an imbalance between supply and demand and lack of resources.Conclusion: There is high quality evidence from trials that STAT reduces waiting time. Using the RE-AIM framework, this evaluation of a translation strategy demonstrates uptake of evidence to reduce waiting time in health services.

Decreasing Extra Tube Collections in a Healthcare System

Introduction/Objective To determine a mechanism for obtaining and utilizing data on extra specimens collected that were not used, monitoring collections and decreasing the need to collect these specimens in order to save the patient’s blood from being wasted, as well as the resources used to collect and house the extra specimens. Methods Internal database, Sunquest, and Tableau Results Starting in early 2017, statistics were pulled and analyzed by our Phlebotomy Best Practice committee in order to obatin a solid basis to review all extra specimens being collected (excluding blue, lavender, and lithium herparin tubes) by phlebotomy in order to save teh patient’s blood from being disposed of without being used for testing, continue to look for ways to maintain blood conservation and collections, cost effectiveness due to not having to use the supplies, as well as store the specimens that were not being used for testing. Conclusion As of January 2020, there has been a 30% decrease in collections (yearly - over 3 years), and a maximum 45% decrease in cost (thus far) of supplies and waste. It has been a larage patient and upper management satisfier; patient’s don’t question the number of tubes being taken, and the decrease in spending makes the VP happy!

Perbandingan Antara SQLite, Room, dan RBDLiTe Dalam Pembuatan Basis Data pada Aplikasi Android

Android is one of the largest mobile operating system platforms today. Amid the ever-increasing needs of users, Android programmers are still lacking to meet the current market needs. One of the problems that causes this is the difficulty of creating an internal database, so many people give up to learn to make Android applications. Android's internal database is hard to create because the entire data structure on that database should be built with the query executed in the created program code. Some of the common internal databases currently used are SQLiTe and Room. Both databases are quite difficult to learn where SQLite should build everything from scratch while Room should study the structure and systematics of of the library. Therefore, in this article, the author proposes library and template named "Relational Database Library and Template" which will be referred to as RBDLiTe which can create an internal database for Android applications easily which will also be compared with SQLiTe and Room in its use.

BLOCKCHAIN TECHNOLOGY AND BITCOIN CRYPTOCURRENCY: HOW IT WORKS AND FEATURES

Along with the socio-economic sphere, interest in Internet technologies in public-private partnerships, companies and institutions, organizations allows you to integrate blockchains into large infrastructure. This result can be achieved by giving the user access and changing internal database storage algorithms. The main feature of blockchain technology is that it is based on decentralization. In the case of using any means of protection, if it is possible to crack the database located on the server, then such a malfunction is not allowed in the blockchain. The article discusses the concepts of cryptocurrency, blockchain, and bitcoin, as well as the principles of their operation. Prospects for their development and large-scale impact on financial activities carried out via the Internet are presented. It also describes cryptocurrencies and the technologies and algorithms used in them.

Exterior Artificial Pancreas Project

Objective: Pump size exterior artificial pancreas that will keep the glucose between 120 – 150mg/dl. Method: The whole project based on the idea that we should already know one insulin unit how much is able to go down the glucose and one glucagons unit how much is able to increase the glucose. Less than 120 mg/dl it uses glucagons. More than 150 mg/dl it uses insulin. The pump checks the glucose automatically for every 8 minutes. The pump (which is software decision) will choose between insulin or glucagons base in an internal database table with prerequisite glucose values and the insulin or glucagons units requiring for each glucose value (adaptive database table for each diabetic). The pump (the software) is able to choose how many insulin or glucagon units it should use (that is not based on what the diabetic will eat, but base on the current glucose level that received from the sensor which is located in the human body, needle and sensor are one piece). The insulin should have a work duration of 8 minutes and works instantly. Result: I choose 120 mg/dl as the lowest allowance glucose level as this level is secure for the diabetic (there is a time to prevent big hypoglycemia). Conclusion: This project offers to diabetics insulin injections freedom, hypoglycemia prevention, run emergency tests, ideally for all ages, endocrinologists will have the software to adapt the internal database table of the pump for each diabetic needs.

Expanding the capillary electrophoresis-based glucose unit database of the GUcal app

GUcal is a standalone application for automatically calculating the glucose unit (GU) values for separated N-glycan components of interest in an electropherogram and suggests their tentative structures by utilizing an internal database. We have expanded the original database of GUcal by integrating all publicly available capillary electrophoresis (CE) data in the GlycoStore collection (https://www.glycostore.org) and with in-house measured GU values. The GUcal app is freely available online (https://www.gucal.hu) and readily facilitates CE-based high throughput GU value determination for first line structural elucidation.

Constructing an e-portfolio of competences with higher education students of postsecondary age group. Technological issues and outcomes.

This paper presents some outcomes and results of a 3-year empirical research in which we propose an adult workers-oriented tool – the portfolio of competences – to higher education students of the postsecondary age group, using an e-portfolio system (Mahara), with the aim of making them able to reflect about their learning experiences, to demonstrate their competences and to mobilize them in a real working context, relying on the substantial working experience they have during their studying period, albeit often occasional and scarcely related to their degree programme. We especially focus here on technological issues, mainly addressing the portfolio structure and communication between the teacher/tutor and the students, analyzing data coming from the internal database of the e-portfolio system and comparing the solutions adopted both at technological and didactical level, from one year to another.

System of Fuzzy Duplicates Detection

In the paper we discuss the problem of fuzzy duplicate detecting. There are given the basic approaches to detection of text duplicates. We review the existing methods of fuzzy duplicate detecting. There is presented algorithm of fuzzy duplicate detection. Algorithm is based on method of shingles. We describe modification of algorithm. We propose to consider not all text of document but its processed and filtered copy. There is presented the structure of system for fuzzy duplicates detection. System checks text duplications in the internal database and in Internet.