Television in and After the Archive: Catalogues, Databases, Interfaces and Other Ways to Organize Audiovisual Records by Giulia Taurino, Georgia Aitaki

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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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DATABASES DESIGNED WITH PHP AND MYSQL REGARDING THE OPTIMIZATION OF THE AUTOMATION INSTALLATION IN WATER TREATMENT PLANTS by COSTACHE (BIRA) Lenuta

“…At the same time, the use of a database are directions for the development of new technologies, using as a tool the mathematical model and the optimization-solution algorithms. …”
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Databases and Associated Bioinformatic Tools in Studies of Food Allergens, Epitopes and Haptens – a Review by Bucholska Justyna, Minkiewicz Piotr, Darewicz Małgorzata, Iwaniak Anna

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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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A Comprehensive Resource for Exploring Antiphage Defense: DefenseFinder Webservice,Wiki and Databases by Tesson, Florian, Planel, Rémi, Egorov, Artyom A, Georjon, Héloïse, Vaysset, Hugo, Brancotte, Bryan, Néron, Bertrand, Mordret, Ernest, Atkinson, Gemma Catherine, Bernheim, Aude, Cury, Jean

“…To overcome these challenges, we present a hub of resources on defense systems, including: 1) an updated version of DefenseFinder with a web-service search function, 2) a community-curated repository of knowledge on the systems, and 3) precomputed databases, which include annotations done on RefSeq genomes and structure predictions generated by AlphaFold. …”
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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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Voice pathology detection using machine learning algorithms based on different voice databases by Nurul Mu'azzah Abdul Latiff, Fahad Taha Al-Dhief, Nurul Fariesya Suhaila Md Sazihan, Marina Mat Baki, Nik Noordini Nik Abd. Malik, Musatafa Abbas Abbood Albadr, Ali Hashim Abbas

“…Two scenarios were considered: (1) training and testing on the same database and (2) training on one database and testing on another. …”
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Strength in Numbers. A Short Note on the Past, Present and Future of Large Historical Databases by Lionel Kesztenbaum

Subjects: “…Large-scale historical databases…”
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Systematic comparison of Mendelian randomisation studies and randomised controlled trials using electronic databases by Jie Zheng, George Davey Smith, Tom R Gaunt, Maria K Sobczyk

“…Objective To scope the potential for (semi)-automated triangulation of Mendelian randomisation (MR) and randomised controlled trials (RCTs) evidence since the two methods have distinct assumptions that make comparisons between their results invaluable.Methods We mined ClinicalTrials.Gov, PubMed and EpigraphDB databases and carried out a series of 26 manual literature comparisons among 54 MR and 77 RCT publications.Results We found that only 13% of completed RCTs identified in ClinicalTrials.Gov submitted their results to the database. …”
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Evaluation of 16S rRNA Databases for Taxonomic Assignments Using a Mock Community by Sang-Cheol Park, Sungho Won

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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“…The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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Extending the Intermediate Data Structure (IDS) for longitudinal historical databases to include geographic data by Finn Hedefalk, Lars Harrie, Patrick Svensson

“… The Intermediate Data Structure (IDS) is a standardised database structure for longitudinal historical databases. …”
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Concomitant abdominal organ transplantation alongside lung transplantation: An ISHLT transplant database analysis by Renita Wilson, BS, J. Asher Jenkins, MD, Juan Maria Farina, MD, Blake Langlais, MS, Bashar Aqel, MD, Ashraf Omar, MD, Jonathan D’Cunha, MD, PhD, Pedro Reck dos Santos, MD, PhD

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From home base to database … and back? The circulation and virtualities of Amerindian knowledge in the digital era by Valentina Vapnarsky

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Laser Therapy and Dementia: A Database Analysis and Future Aspects on LED-Based Systems by Daniela Litscher, Gerhard Litscher

“…Two databases were searched: PubMed and Cochrane Library. …”
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Building an Archival Database for Visualizing Historical Networks. A Case for Pre-Modern Korea by Seungmin Paek, Jong Hee Park, Sangkuk Lee

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Drug-induced autoimmune-like hepatitis: A disproportionality analysis based on the FAERS database. by Wangyu Ye, Yuan Ding, Meng Li, Zhihua Tian, Shaoli Wang, Zhen Liu

“…Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) database.<h4>Methods</h4>We searched the FAERS database for the term "autoimmune hepatitis" and extracted DI-ALH reports from the first quarter of 2004 to the first quarter of 2024. …”
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APPLICATION OF MACHINE LEARNING ALGORITHMS TO EVALUATE THE UCI DATABASE IN THE CLASSIFICATION OF AUTISM SPECTRUM DISORDERS by Phạm Quang Thuận, Nguyễn Đình Thuân

“…We conclude that the data set for classifying children's autism spectrum disorders in the UCI database is reliable.…”
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Prevalence of Hepatic Encephalopathy from a Commercial Medical Claims Database in the United States by Aniruddha Potnis, Susan VanMeter, Jan Stange

“…Prevalence of HE was estimated by sequential stepwise data analysis of the Symphony Health anonymized patient-level data (APLD) claims database. First, patients≥18 years with International Classification of Diseases ninth/tenth edition, clinical modification (ICD-9/10-CM), and codes for cirrhosis from 2018 medical and hospital claims were used to estimate prevalence of cirrhosis within the data set and number of patients with cirrhosis in the US general population. …”
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