https://www.limswiki.org/index.php?title=Special:NewPages&feed=atom&hideredirs=1&limit=50&offset=&namespace=0&username=&tagfilter=LIMSWiki - New pages [en]2024-03-29T14:51:35ZFrom LIMSWikiMediaWiki 1.36.1https://www.limswiki.org/index.php/Dissolved_gas_analysisDissolved gas analysis2024-03-27T21:15:31Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Dissolved gas analysis}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Dissolved_gas_analysis the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Scientific techniques]]</div>Shawndouglashttps://www.limswiki.org/index.php/Breath_gas_analysisBreath gas analysis2024-03-27T21:14:52Z<p>Shawndouglas: Created as needed.</p>
<hr />
<div>{{wikipedia::Breath gas analysis}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Breath_gas_analysis the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Scientific techniques]]</div>Shawndouglashttps://www.limswiki.org/index.php/Gas_analysisGas analysis2024-03-27T21:13:19Z<p>Shawndouglas: Created as needed.</p>
<hr />
<div>'''Gas analysis''' may refer to:<br />
<br />
* [[Blood gas analysis]], a method that measures arterial oxygen tension, carbon dioxide tension, and other aspects of a blood sample<br />
* [[Breath gas analysis]], a non-invasive method that measures volatile organic compounds present in the exhaled breath<br />
* [[Dissolved gas analysis]], a method that measures dissolved gases in insulating fluids<br />
* [[Evolved gas analysis]], a method that measures the gas evolved from a heated sample that undergoes decomposition or desorption<br />
<br />
{{disambiguation}}</div>Shawndouglashttps://www.limswiki.org/index.php/United_States_Environmental_Protection_AgencyUnited States Environmental Protection Agency2024-03-27T20:53:16Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::United States Environmental Protection Agency}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/United_States_Environmental_Protection_Agency the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Government agencies]]</div>Shawndouglashttps://www.limswiki.org/index.php/Computational_biologyComputational biology2024-03-18T19:51:27Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Computational biology}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Computational_biology the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Articles transcluded from other wikis]]<br />
[[Category:Biology]]</div>Shawndouglashttps://www.limswiki.org/index.php/Mathematical_modelMathematical model2024-03-18T19:49:24Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Mathematical model}}<br />
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==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Mathematical_model the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Scientific techniques]]</div>Shawndouglashttps://www.limswiki.org/index.php/Good_laboratory_practiceGood laboratory practice2024-03-13T18:05:16Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Good laboratory practice}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Good_laboratory_practice the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Regulatory information]]</div>Shawndouglashttps://www.limswiki.org/index.php/Siamese_neural_networkSiamese neural network2024-03-03T16:43:41Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Siamese neural network}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Siamese_neural_network the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/Human-in-the-loopHuman-in-the-loop2024-03-03T16:34:44Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Human-in-the-loop}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Human-in-the-loop the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Automation and artificial intelligence]]<br />
[[Category:Ethics of science and technology]]</div>Shawndouglashttps://www.limswiki.org/index.php/Deep_learningDeep learning2024-03-03T15:53:09Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Deep learning}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Deep_learning the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
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[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/ChatGPTChatGPT2024-02-29T23:35:38Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::ChatGPT}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/ChatGPT the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
[[Category:Articles transcluded from other wikis]]<br />
[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/Large_language_modelLarge language model2024-02-29T23:34:39Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Large language model}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Large_language_model the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
[[Category:Articles transcluded from other wikis]]<br />
[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/Stochastic_gradient_descentStochastic gradient descent2024-02-26T22:36:28Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Stochastic gradient descent}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Stochastic_gradient_descent the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/PhytanePhytane2024-02-26T22:24:47Z<p>Shawndouglas: Created as needed.</p>
<hr />
<div>{{wikipedia::Phytane}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Phytane the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Organic compounds]]</div>Shawndouglashttps://www.limswiki.org/index.php/PristanePristane2024-02-26T22:23:02Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Pristane}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Pristane the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
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[[Category:Organic compounds]]</div>Shawndouglashttps://www.limswiki.org/index.php/Unresolved_complex_mixtureUnresolved complex mixture2024-02-26T22:08:03Z<p>Shawndouglas: Created as needed.</p>
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<div>{{wikipedia::Unresolved complex mixture}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Unresolved_complex_mixture the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
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[[Category:Chromatography]]</div>Shawndouglashttps://www.limswiki.org/index.php/BiodegradationBiodegradation2024-02-26T22:02:30Z<p>Shawndouglas: Created as needed.</p>
<hr />
<div>{{wikipedia::Biodegradation}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Biodegradation the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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<!---Place all category tags here--><br />
[[Category:Articles transcluded from other wikis]]<br />
[[Category:Science terms]]</div>Shawndouglashttps://www.limswiki.org/index.php/Convolutional_neural_networkConvolutional neural network2024-02-26T21:06:49Z<p>Shawndouglas: Created as needed.</p>
<hr />
<div>{{wikipedia::Convolutional neural network}}<br />
==Notes==<br />
This article is a direct transclusion of [https://en.wikipedia.org/wiki/Convolutional_neural_network the Wikipedia article] and therefore may not meet the same editing standards as LIMSwiki.<br />
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[[Category:Automation and artificial intelligence]]</div>Shawndouglashttps://www.limswiki.org/index.php/Smart_Food_Safe_Solutions,_Inc.Smart Food Safe Solutions, Inc.2024-01-24T17:58:09Z<p>Move page script: Move page script moved page Smart Food Safe Solutions, Inc. to Vendor:Smart Food Safe Solutions, Inc. without leaving a redirect</p>
<hr />
<div>{{Infobox company<br />
|company_name = '''Smart Food Safe Solutions, Inc.'''<br />
|company_logo = <br />
|company_type = Corporation<br />
|traded_as = <br />
|industry = [[Laboratory informatics]]<br />
|genre =<br />
|fate = <br />
|predecessor =<br />
|successor = <br />
|company_slogan = <br />
|foundation = <br />
|founder = <br />
|defunct =<br />
|location_city = 455 Bd. Fénelon, Suite 311, Dorval, Québec<br />
|location_country = Canada<br />
|locations = <br />
|area_served = North America<br />
|key_people = <br />
|products = {{Collapsible list<br />
|framestyle=border:none; padding:0;<br />
|title=<small>Products list</small><br />
|1=<li>Smart Lab<br />
|2=<li>Smart Docs<br />
|3=<li>Smart HACCP<br />
|4=<li>...and many more}}<br />
|production =<br />
|service =<br />
|revenue = <br />
|operating_income = <br />
|net_income = <br />
|aum =<br />
|assets = <br />
|equity = <br />
|owner =<br />
|num_employees = <br />
|parent = <br />
|divisions = <br />
|subsid = <br />
|homepage = [https://smartfoodsafe.com/ https://smartfoodsafe.com/]<br />
|linkedin = [https://www.linkedin.com/company/smartfoodsafe/ https://www.linkedin.com/company/smartfoodsafe/]<br />
|footnotes =<br />
|intl = No<br />
}}<br />
<br />
'''Smart Food Safe Solutions, Inc.''' is a developer and distributor of software solutions for the food and beverage sector, including [[Laboratory informatics]] solutions.<br />
<br />
==History==<br />
Smart Food Safe Solutions, Inc. Was formally founded in Québec in July 2018.<ref name="QuebecReg">{{cite web |url=https://www.registreentreprises.gouv.qc.ca/RQAnonymeGR/GR/GR03/GR03A2_19A_PIU_RechEnt_PC/PageRechSimple.aspx?T1.CodeService=S00436 |title=Rechercher une entreprise au registre |publisher=Gouvernement du Québec |accessdate=24 January 2024 |quote=Search for Smart Food Safe or file # 1173804031}}</ref><br />
<br />
==Technology and products==<br />
===Smart Lab and more===<br />
Smart Lab is a [[laboratory information management system]] (LIMS) for the food and beverage industry that atllows users to "streamline laboratory process, increase workflow efficiency, and improve employees and customer communications."<ref name="SFSSmartLab">{{cite web |url=https://smartfoodsafe.com/smart-lab/ |title=Smart Lab |publisher=Smart Food Safe Solutions, Inc |accessdate=24 January 2024}}</ref><br />
<br />
The company also offers many other software solutions for the industry, including a document management solution, [[hazard analysis and critical control points]] (HACCP) solution, and more. See the [https://smartfoodsafe.com/ company website] for more details on these solutions.<br />
<br />
====Features====<br />
<br />
{{Ombox productfeature}}<br />
<br />
{| class="wikitable collapsible" style="border-style:none;" background="#ffffff" border="0" cellpadding="0" cellspacing="0"<br />
|-<br />
! colspan="2"| Product: [https://smartfoodsafe.com/smart-lab/ Smart Lab]<br />
|-<br />
| style="background-color:white; border-style:none;"| {{Databox LIMSfeature<br />
| sample_login_man = Y<ref name="SFSSmartLab" /><br />
| sample_track = Y<ref name="SFSSmartLab" /><br />
| sample_batch = <br />
| task_event_sched = Y<ref name="SFSSmartLab" /><br />
| manual_entry = <br />
| multiple_view = Y<ref name="SFSSmartLab" /><br />
| data_analysis = <br />
| data_sharing = <br />
| custom_fields = <br />
| query = <br />
| import_data = <br />
| data_linking_int = <br />
| data_linking_ext = <br />
| eln_support = <br />
| export_msexcel = <br />
| export_raw = <br />
| data_warehouse = <br />
| deadline_control = <br />
| production_control = <br />
| project_task_man = <br />
| inventory_man = <br />
| document_man = <br />
| case_man = <br />
| workflow_man = <br />
| spec_man = <br />
| customer_man = <br />
| billing_man = Y<ref name="SFSSmartLab" /><br />
<br />
| reg_compliance = Y<ref name="SFSSmartLab" /><br />
| qa_qc = <br />
| performance_eval = Y<ref name="SFSSmartLab" /><br />
| audit_trail = Y<ref name="SFSSmartLab" /><br />
| chain_custody = <br />
| roles_security = <br />
| data_norm = <br />
| data_val = <br />
| data_encrypt =<br />
| version_control =<br />
| data_backup = <br />
| enviro_monitoring =<br />
<br />
| custom_reporting = Y<ref name="SFSSmartLab" /><br />
| report_printing = <br />
| label_support = <br />
| barcode_support = <br />
| export_pdf =<br />
| export_msword =<br />
| export_htmlxml =<br />
| fax_integration =<br />
| email_integration = Y<ref name="SFSSmartLab" /><br />
<br />
| admin_manage = <br />
| modular = <br />
| instrument_inter = Y<ref name="SFSSmartLab" /><br />
| mobile_device =<br />
| alarms_alerts = Y<ref name="SFSSmartLab" /><br />
| work_timetrack = <br />
| voice_rec = <br />
| external_monitor = Y<ref name="SFSSmartLab" /><br />
| messaging = Y<ref name="SFSSmartLab" /><br />
| multilingual =<br />
| network = <br />
| web_client = <br />
| online_help =<br />
| saas_model =<br />
| usage_cost =<br />
| industries = food and beverage<br />
}}<br />
|-<br />
|}<br />
<br />
====Pricing====<br />
Pricing is not made public.<br />
<br />
====Additional information====<br />
* [https://smartfoodsafe.com/blog/ Smart Food Safe blog]<br />
* [https://smartfoodsafe.com/resources/ Smart Food Safe resources]<br />
<br />
==References==<br />
<references/><br />
<br />
<!---Place all category tags here--><br />
[[Category:LIMS vendor]]<br />
[[Category:Food and beverage LIMS]]<br />
[[Category:Vendors]]</div>Shawndouglashttps://www.limswiki.org/index.php/Cannabis_testing_regulations_in_the_U.S.Cannabis testing regulations in the U.S.2024-01-02T22:34:37Z<p>Shawndouglas: Created as needed.</p>
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<div>{{Cannabis testing regulations in the U.S.}}<br />
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[[Category:Cannabis laws and regulations]]</div>Shawndouglashttps://www.limswiki.org/index.php/Main_Page/Featured_article_of_the_week/2024Main Page/Featured article of the week/20242024-01-02T15:32:37Z<p>Shawndouglas: Added last week's article of the week</p>
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<div>{{ombox<br />
| type = notice<br />
| 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]] - [[Main Page/Featured article of the week/2018|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]] - 2024<br />
}}<br />
<br />
==Featured article of the week archive - 2024==<br />
Welcome to the LIMSwiki 2024 archive for the Featured Article of the Week.<br />
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<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: March 18–24:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Nieminen GigaScience2023 12.jpeg|240px]]</div><br />
'''"[[Journal:SODAR: Managing multiomics study data and metadata|SODAR: Managing multiomics study data and metadata]]"'''<br />
<br />
Scientists employing omics in [[Life sciences industry|life science]] studies face challenges such as the modeling of multiassay studies, recording of all relevant parameters, and managing many [[Sample (material)|samples]] with their [[metadata]]. They must manage many large files that are the results of the assays or subsequent computation. Users with diverse backgrounds, ranging from computational scientists to wet-lab scientists, have dissimilar needs when it comes to data access, with programmatic interfaces being favored by the former and graphical ones by the latter. We introduce SODAR, the system for [[omics]] data access and retrieval. SODAR is a software package that addresses these challenges by providing a web-based graphical user interface (GUI) for managing multiassay studies and describing them using the ISA (Investigation, Study, Assay) data model and the ISA-Tab file format ... ('''[[Journal:SODAR: Managing multiomics study data and metadata|Full article...]]''')<br /><br />
|-<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: March 11–17:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Chang HealthInfoRes2023 29-4.png|240px]]</div><br />
'''"[[Journal:Benefits of information technology in healthcare: Artificial intelligence, internet of things, and personal health records|Benefits of information technology in healthcare: Artificial intelligence, internet of things, and personal health records]]"'''<br />
<br />
Systematic evaluations of the benefits of [[health information technology]] (HIT) play an essential role in enhancing healthcare [[Quality (business)|quality]] by improving outcomes. However, there is limited empirical evidence regarding the benefits of IT adoption in healthcare settings. This study aimed to review the benefits of [[artificial intelligence]] (AI), the [[internet of things]] (IoT), and [[personal health record]]s (PHR), based on scientific evidence. The literature published in peer-reviewed journals between 2016 and 2022 was searched for systematic reviews and meta-analysis studies using the PubMed, Cochrane, and Embase databases. Manual searches were also performed using the reference lists of systematic reviews and eligible studies from major [[health informatics]] journals. The benefits of each HIT were assessed from multiple perspectives across four outcome domains ... ('''[[Journal:Benefits of information technology in healthcare: Artificial intelligence, internet of things, and personal health records|Full article...]]''')<br /><br />
|-<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: March 04–10:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Villegas-Pérez Foods23 12-22.png|240px]]</div><br />
'''"[[Journal:A quality assurance discrimination tool for the evaluation of satellite laboratory practice excellence in the context of European regulatory meat inspection for Trichinella spp.|A quality assurance discrimination tool for the evaluation of satellite laboratory practice excellence in the context of European regulatory meat inspection for ''Trichinella spp.'']]"'''<br />
<br />
[[Trichinosis|Trichinellosis]] is a parasitic foodborne zoonotic disease transmitted by ingestion of raw or undercooked meat containing the first larval stage (L1) of the nematode. To ensure the [[Quality (business)|quality]] and safety of food intended for human consumption, meat inspection for detection of ''Trichinella'' spp. larvae is a mandatory procedure per European Union (E.U.) regulations. The implementation of [[quality assurance]] (QA) practices in [[Laboratory|laboratories]] that are responsible for ''Trichinella'' spp. detection is essential given that the detection of this parasite is still a pivotal threat to public health, and it is included in List A of Annex I, Directive 2003/99/EC, which determines the agents to be monitored on a mandatory basis ... ('''[[Journal:A quality assurance discrimination tool for the evaluation of satellite laboratory practice excellence in the context of European regulatory meat inspection for Trichinella spp.|Full article...]]''')<br /><br />
|-<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: February 26–March 03:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Pineda-Pampliega EFSAJournal2023 20-S2.png|240px]]</div><br />
'''"[[Journal:Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood|Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood]]"'''<br />
<br />
[[Risk assessment|Risk and risk–benefit assessments]] of food are complex exercises, in which access to and use of several disconnected individual stand-alone [[database]]s is required to obtain hazard and exposure information. Data obtained from such databases ideally should be in line with the [[Journal:The FAIR Guiding Principles for scientific data management and stewardship|FAIR principles]], i.e. the data must be findable, accessible, interoperable, and reusable. However, often cases are encountered when one or more of these principles are not followed. In this project, we set out to assess if existing commonly used databases in risk assessment are in line with the FAIR principles ... ('''[[Journal:Developing a framework for open and FAIR data management practices for next generation risk- and benefit assessment of fish and seafood|Full article...]]''')<br /><br />
|-<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: February 19–25:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Henke JMIRMedInfo2023 11.png|240px]]</div><br />
'''"[[Journal:An extract-transform-load process design for the incremental loading of German real-world data based on FHIR and OMOP CDM: Algorithm development and validation|An extract-transform-load process design for the incremental loading of German real-world data based on FHIR and OMOP CDM: Algorithm development and validation]]"'''<br />
<br />
In the Medical Informatics in Research and Care in University Medicine (MIRACUM) consortium, an IT-based clinical trial recruitment support system was developed based on the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM). Currently, OMOP CDM is populated with German Fast Healthcare Interoperability Resources (FHIR) data using an extract-transform-load (ETL) process, which was designed as a bulk load. However, the computational effort that comes with an everyday full load is not efficient for daily recruitment ... ('''[[Journal:An extract-transform-load process design for the incremental loading of German real-world data based on FHIR and OMOP CDM: Algorithm development and validation|Full article...]]''')<br /><br />
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|<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: February 12–18:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig3 Johnson JofCannRes23 5.png|240px]]</div><br />
'''"[[Journal:Potency and safety analysis of hemp-derived delta-9 products: The hemp vs. cannabis demarcation problem|Potency and safety analysis of hemp-derived delta-9 products: The hemp vs. cannabis demarcation problem]]"'''<br />
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[[Hemp]]-derived [[Tetrahydrocannabinol|delta-9-tetrahydrocannabinol]] (Δ<sup>9</sup>-THC) products are freely available for sale across much of the USA, but the federal legislation allowing their sale places only minimal requirements on companies. Products must contain no more than 0.3% Δ<sup>9</sup>-THC by dry weight, but no limit is placed on overall dosage, and there is no requirement that products derived from hemp-based Δ<sup>9</sup>-THC be tested. However, some states—such as Colorado—specifically prohibit products created by “chemically modifying” a natural hemp component. Fifty-three hemp-derived Δ<sup>9</sup>-THC products were ordered and submitted to InfiniteCAL [[laboratory]] for analysis ... ('''[[Journal:Potency and safety analysis of hemp-derived delta-9 products: The hemp vs. cannabis demarcation problem|Full article...]]''')<br /><br />
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|<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: February 05–11:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Sbailò npjCompMat22 8.png|240px]]</div><br />
'''"[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding]]"'''<br />
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We present the Novel Materials Discovery (NOMAD) [[Artificial intelligence|Artificial Intelligence]] (AI) Toolkit, a web-browser-based infrastructure for the interactive AI-based analysis of [[materials science]] data under FAIR (findable, accessible, interoperable, and reusable) data principles. The AI Toolkit readily operates on FAIR data stored in the central server of the NOMAD Archive, the largest database of materials science data worldwide, as well as locally stored, user-owned data. The NOMAD Oasis, a local, stand-alone server can also be used to run the AI Toolkit. By using [[Jupyter Notebook]]s that run in a web-browser, the NOMAD data can be queried and accessed; [[data mining]], [[machine learning]] (ML), and other AI techniques can then be applied to analyze them ... ('''[[Journal:The NOMAD Artificial Intelligence Toolkit: Turning materials science data into knowledge and understanding|Full article...]]''')<br /><br />
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|<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: January 29–February 04:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Naphade JofClinDiagRes2023 17-2.jpg|240px]]</div><br />
'''"[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Quality control in the clinical biochemistry laboratory: A glance]]"'''<br />
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[Quality control]] (QC) is a process, designed to ensure reliable test results. It is part of overall [[laboratory]] quality management in terms of accuracy, reliability, and timeliness of reported test results. Two types of QC are exercised in [[Clinical chemistry|clinical biochemistry]]: internal QC (IQC) and external [[quality assurance]] (QA). IQC represents the quality methods performed every day by laboratory personnel with the laboratory’s materials and equipment. It primarily checks the precision (i.e., repeatability or reproducibility) of the test method. External quality assurance service (EQAS) is performed periodically (i.e., every month, every two months, twice a year) by the laboratory personnel, who primarily are checking the accuracy of the laboratory’s analytical methods ... ('''[[Journal:Quality control in the clinical biochemistry laboratory: A glance|Full article...]]''')<br /><br />
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|<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: January 22–28:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Ghiringhelli SciData23 10.png|240px]]</div><br />
'''"[[Journal:Shared metadata for data-centric materials science|Shared metadata for data-centric materials science]]"'''<br />
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The expansive production of data in [[materials science]], as well as their widespread [[Data sharing|sharing]] and repurposing, requires educated support and stewardship. In order to ensure that this need helps rather than hinders scientific work, the implementation of the [[Journal:The FAIR Guiding Principles for scientific data management and stewardship|FAIR data principles]] (that ask for data and information to be findable, accessible, interoperable, and reusable) must not be too narrow. At the same time, the wider materials science community ought to agree on the strategies to tackle the challenges that are specific to its data, both from computations and experiments. In this paper, we present the result of the discussions held at the workshop on “Shared Metadata and Data Formats for Big-Data Driven Materials Science.” ... ('''[[Journal:Shared metadata for data-centric materials science|Full article...]]''')<br /><br />
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|<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: January 15–21:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Jadhav IntJofMolSci23 24-9.png|240px]]</div><br />
'''"[[Journal:A metabolomics and big data approach to cannabis authenticity (authentomics)|A metabolomics and big data approach to cannabis authenticity (authentomics)]]"''' <br />
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With the increasing accessibility of [[cannabis]] ([[Cannabis sativa|''Cannabis sativa'' L.]], also known as marijuana and [[hemp]]), its products are being developed as [[Cannabis concentrate|extracts]] for both recreational and [[Cannabis (drug)|therapeutic]] use. This has led to increased scrutiny by [[Regulatory compliance|regulatory bodies]], who aim to understand and regulate the complex chemistry of these products to ensure their safety and efficacy. Regulators use targeted analyses to track the concentration of key bioactive [[Metabolomics|metabolites]] and potentially harmful [[Contamination|contaminants]], such as [[heavy metals]] and other impurities. However, the complexity of cannabis' metabolic pathways requires a more comprehensive approach. A non-targeted metabolomic analysis of cannabis products is necessary to generate data that can be used to determine their authenticity and efficacy ... ('''[[Journal:A metabolomics and big data approach to cannabis authenticity (authentomics)|Full article...]]''')<br /><br />
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|<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: January 08–14:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:GA Ishii SciTechAdvMatMeth2023 3-1.jpg|240px]]</div><br />
'''"[[Journal:Integration of X-ray absorption fine structure databases for data-driven materials science|Integration of X-ray absorption fine structure databases for data-driven materials science]]"''' <br />
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With the aim of introducing data-driven science and establishing an infrastructure for making [[X-ray absorption fine structure]] (XAFS) [[Spectroscopy|spectra]] findable and reusable, we have integrated XAFS databases in Japan. This integrated database (MDR XAFS DB) enables cross searching of spectra from more than 2,000 [[Sample (material)|samples]] and more than 700 unique materials with machine-readable [[metadata]]. The introduction of a materials dictionary with approximately 6,000 synonyms has improved the search performance, and links with large external databases have been established. In order to compare spectra in the database, the energy calibration policies of each institution were compiled, and the energy calibration methods across institutions were shown ... ('''[[Journal:Integration of X-ray absorption fine structure databases for data-driven materials science|Full article...]]''')<br /><br />
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|<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: January 01–07:</h2><br />
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Heavey ForSciIntSyn2023 7.jpg|240px]]</div><br />
'''"[[Journal:Management and disclosure of quality issues in forensic science: A survey of current practice in Australia and New Zealand|Management and disclosure of quality issues in forensic science: A survey of current practice in Australia and New Zealand]]"''' <br />
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The investigation of [[Quality (business)|quality]] issues detected within the [[Forensic science|forensic]] process is a critical feature in robust [[quality management system]]s (QMSs) to provide assurance of the validity of reported [[laboratory]] results and inform strategies for [[Continual improvement process|continuous improvement]] and innovation. A survey was conducted to gain insight into the current state of practice in the management and handling of quality issues amongst the government service provider agencies of Australia and New Zealand. The results demonstrate the value of standardized quality system structures for the recording and management of quality issues, but also areas where inconsistent reporting increases the risk of overlooking important data to inform continuous improvement ... ('''[[Journal:Management and disclosure of quality issues in forensic science: A survey of current practice in Australia and New Zealand|Full article...]]''')<br /><br />
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