Main Page/Featured article of the week/2018 - Revision history

Shawndouglas: Text replacement - "\[\[LabArchives, LLC(.*)" to "[[Vendor:LabArchives, LLC$1"

2024-04-03T20:36:43Z

Text replacement - "\[\[LabArchives, LLC(.*)" to "[[Vendor:LabArchives, LLC$1"

← Older revision		Revision as of 20:36, 3 April 2024
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	'''"[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory]]"'''		'''"[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory]]"'''

	[[Electronic laboratory notebook]]s (ELNs) are better equipped than paper [[laboratory notebook]]s (PLNs) to handle present-day life science and engineering experiments that generate large data sets and require high levels of data integrity. But limited training and a lack of workforce with ELN knowledge have restricted the use of ELN in academic and industry research [[Laboratory\|laboratories]], which still rely on cumbersome PLNs for record keeping. We used [[LabArchives, LLC\|LabArchives]], a cloud-based ELN in our bioprocess engineering lab course to train students in electronic record keeping, good documentation practices (GDPs), and [[data integrity]].		[[Electronic laboratory notebook]]s (ELNs) are better equipped than paper [[laboratory notebook]]s (PLNs) to handle present-day life science and engineering experiments that generate large data sets and require high levels of data integrity. But limited training and a lack of workforce with ELN knowledge have restricted the use of ELN in academic and industry research [[Laboratory\|laboratories]], which still rely on cumbersome PLNs for record keeping. We used [[Vendor:LabArchives, LLC\|LabArchives]], a cloud-based ELN in our bioprocess engineering lab course to train students in electronic record keeping, good documentation practices (GDPs), and [[data integrity]].

	Implementation of ELN in the bioprocess engineering lab course, an analysis of user experiences, and our development actions to improve ELN training are presented here. ELN improved pedagogy and learning outcomes of the lab course through streamlined workflow, quick data recording and archiving, and enhanced data sharing and collaboration. It also enabled superior data integrity, simplified information exchange, and allowed real-time and remote monitoring of experiments. ('''[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Full article...]]''')<br />		Implementation of ELN in the bioprocess engineering lab course, an analysis of user experiences, and our development actions to improve ELN training are presented here. ELN improved pedagogy and learning outcomes of the lab course through streamlined workflow, quick data recording and archiving, and enhanced data sharing and collaboration. It also enabled superior data integrity, simplified information exchange, and allowed real-time and remote monitoring of experiments. ('''[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Full article...]]''')<br />

Shawndouglas: Ombox header

2024-01-02T15:36:36Z

Ombox header

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	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]] - [[Main Page/Featured article of the week/2022\|2022]] - [[Main Page/Featured article of the week/2023\|2023]]		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]] - [[Main Page/Featured article of the week/2022\|2022]] - [[Main Page/Featured article of the week/2023\|2023]] - [[Main Page/Featured article of the week/2024\|2024]]
	}}		}}

Shawndouglas: Updated for 2023.

2023-01-03T15:34:57Z

Updated for 2023.

← Older revision		Revision as of 15:34, 3 January 2023
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	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]] - [[Main Page/Featured article of the week/2022\|2022]]		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]] - [[Main Page/Featured article of the week/2022\|2022]] - [[Main Page/Featured article of the week/2023\|2023]]
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Shawndouglas: Added 2022

2022-01-03T16:33:43Z

Added 2022

← Older revision		Revision as of 16:33, 3 January 2022
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	\| type = notice		\| type = notice
	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]]		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]] - [[Main Page/Featured article of the week/2022\|2022]]
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Shawndouglas: Added 2021

2021-06-17T00:05:32Z

Added 2021

← Older revision		Revision as of 00:05, 17 June 2021
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	\| type = notice		\| type = notice
	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]]		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]] - [[Main Page/Featured article of the week/2021\|2021]]
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Shawndouglas: Added 2020

2020-01-08T15:26:47Z

Added 2020

← Older revision		Revision as of 15:26, 8 January 2020
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	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]]		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]] - [[Main Page/Featured article of the week/2020\|2020]]
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Shawndouglas: Added 2019 to the top links

2019-01-07T16:29:15Z

Added 2019 to the top links

← Older revision		Revision as of 16:29, 7 January 2019
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	\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018		\| text = If you're looking for other "Article of the Week" archives: [[Main Page/Featured article of the week/2014\|2014]] - [[Main Page/Featured article of the week/2015\|2015]] - [[Main Page/Featured article of the week/2016\|2016]] - [[Main Page/Featured article of the week/2017\|2017]] - 2018 - [[Main Page/Featured article of the week/2019\|2019]]
	}}		}}

Shawndouglas: Added the last article of the week for 2018.

2019-01-02T18:22:20Z

Added the last article of the week for 2018.

← Older revision		Revision as of 18:22, 2 January 2019
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	<!-- Below this line begin pasting previous news -->		<!-- Below this line begin pasting previous news -->
	<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 10–16:</h2>		<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 17–31:</h2>
			<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Malykh JofHealthEng2018 2018.png\|240px]]</div>
			'''"[[Journal:Approaches to medical decision-making based on big clinical data\|Approaches to medical decision-making based on big clinical data]]"'''

			The paper discusses different approaches to building a [[clinical decision support system]] based on big data. The authors sought to abstain from any data reduction and apply universal teaching and big data processing methods independent of disease classification standards. The paper assesses and compares the accuracy of recommendations among three options: case-based reasoning, simple single-layer neural network, and probabilistic neural network. Further, the paper substantiates the assumption regarding the most efficient approach to solving the specified problem. ('''[[Journal:Approaches to medical decision-making based on big clinical data\|Full article...]]''')<br />
			\|-
			\|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 10–16:</h2>
	<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Stura EpidemBiostatPubHealth2018 15-2.png\|240px]]</div>		<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Stura EpidemBiostatPubHealth2018 15-2.png\|240px]]</div>
	'''"[[Journal:A new numerical method for processing longitudinal data: Clinical applications\|A new numerical method for processing longitudinal data: Clinical applications]]"'''		'''"[[Journal:A new numerical method for processing longitudinal data: Clinical applications\|A new numerical method for processing longitudinal data: Clinical applications]]"'''

Shawndouglas: Added last week's article of the week.

2018-12-17T18:54:50Z

Added last week's article of the week.

← Older revision		Revision as of 18:54, 17 December 2018
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	<!-- Below this line begin pasting previous news -->		<!-- Below this line begin pasting previous news -->
	<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 03–09:</h2>		<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 10–16:</h2>
			<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Stura EpidemBiostatPubHealth2018 15-2.png\|240px]]</div>
			'''"[[Journal:A new numerical method for processing longitudinal data: Clinical applications\|A new numerical method for processing longitudinal data: Clinical applications]]"'''

			Processing longitudinal data is a computational issue that arises in many applications, such as in aircraft design, medicine, optimal control, and weather forecasting. Given some longitudinal data, i.e., scattered measurements, the aim consists in approximating the parameters involved in the dynamics of the considered process. For this problem, a large variety of well-known methods have already been developed. Here, we propose an alternative approach to be used as an effective and accurate tool for the parameters fitting and prediction of individual trajectories from sparse longitudinal data. ('''[[Journal:A new numerical method for processing longitudinal data: Clinical applications\|Full article...]]''')<br />
			\|-
			\|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 03–09:</h2>
	<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Elaboudi AdvInBioinfo2018 2018.png\|240px]]</div>		<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Elaboudi AdvInBioinfo2018 2018.png\|240px]]</div>
	'''"[[Journal:Big data management for healthcare systems: Architecture, requirements, and implementation\|Big data management for healthcare systems: Architecture, requirements, and implementation]]"'''		'''"[[Journal:Big data management for healthcare systems: Architecture, requirements, and implementation\|Big data management for healthcare systems: Architecture, requirements, and implementation]]"'''

Shawndouglas: Added last week's article of the week.

2018-12-10T18:02:37Z

Added last week's article of the week.

← Older revision		Revision as of 18:02, 10 December 2018
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	<!-- Below this line begin pasting previous news -->		<!-- Below this line begin pasting previous news -->
	<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: November 26-December 02:</h2>		<h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: December 03–09:</h2>
			<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Elaboudi AdvInBioinfo2018 2018.png\|240px]]</div>
			'''"[[Journal:Big data management for healthcare systems: Architecture, requirements, and implementation\|Big data management for healthcare systems: Architecture, requirements, and implementation]]"'''

			The growing amount of data in the healthcare industry has made inevitable the adoption of big data techniques in order to improve the quality of healthcare delivery. Despite the integration of big data processing approaches and platforms in existing [[Information management\|data management]] architectures for healthcare systems, these architectures face difficulties in preventing emergency cases. The main contribution of this paper is proposing an extensible big data architecture based on both stream computing and batch computing in order to enhance further the reliability of healthcare systems by generating real-time alerts and making accurate predictions on patient health condition. Based on the proposed architecture, a prototype implementation has been built for healthcare systems in order to generate real-time alerts. The suggested prototype is based on Spark and MongoDB tools. ('''[[Journal:Big data management for healthcare systems: Architecture, requirements, and implementation\|Full article...]]''')<br />
			\|-
			\|<br /><h2 style="font-size:105%; font-weight:bold; text-align:left; color:#000; padding:0.2em 0.4em; width:50%;">Featured article of the week: November 26-December 02:</h2>
	'''"[[Journal:Support Your Data: A research data management guide for researchers\|Support Your Data: A research data management guide for researchers]]"'''		'''"[[Journal:Support Your Data: A research data management guide for researchers\|Support Your Data: A research data management guide for researchers]]"'''

← Older revision		Revision as of 20:36, 3 April 2024
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	'''"[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory]]"'''		'''"[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory]]"'''

	[[Electronic laboratory notebook]]s (ELNs) are better equipped than paper [[laboratory notebook]]s (PLNs) to handle present-day life science and engineering experiments that generate large data sets and require high levels of data integrity. But limited training and a lack of workforce with ELN knowledge have restricted the use of ELN in academic and industry research [[Laboratory\|laboratories]], which still rely on cumbersome PLNs for record keeping. We used [[LabArchives, LLC\|LabArchives]], a cloud-based ELN in our bioprocess engineering lab course to train students in electronic record keeping, good documentation practices (GDPs), and [[data integrity]].		[[Electronic laboratory notebook]]s (ELNs) are better equipped than paper [[laboratory notebook]]s (PLNs) to handle present-day life science and engineering experiments that generate large data sets and require high levels of data integrity. But limited training and a lack of workforce with ELN knowledge have restricted the use of ELN in academic and industry research [[Laboratory\|laboratories]], which still rely on cumbersome PLNs for record keeping. We used [[Vendor:LabArchives, LLC\|LabArchives]], a cloud-based ELN in our bioprocess engineering lab course to train students in electronic record keeping, good documentation practices (GDPs), and [[data integrity]].

	Implementation of ELN in the bioprocess engineering lab course, an analysis of user experiences, and our development actions to improve ELN training are presented here. ELN improved pedagogy and learning outcomes of the lab course through streamlined workflow, quick data recording and archiving, and enhanced data sharing and collaboration. It also enabled superior data integrity, simplified information exchange, and allowed real-time and remote monitoring of experiments. ('''[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Full article...]]''')<br />		Implementation of ELN in the bioprocess engineering lab course, an analysis of user experiences, and our development actions to improve ELN training are presented here. ELN improved pedagogy and learning outcomes of the lab course through streamlined workflow, quick data recording and archiving, and enhanced data sharing and collaboration. It also enabled superior data integrity, simplified information exchange, and allowed real-time and remote monitoring of experiments. ('''[[Journal:Implementation and use of cloud-based electronic lab notebook in a bioprocess engineering teaching laboratory\|Full article...]]''')<br />