Confronto tra Excel e Database nella Gestione Clinica dei Dati: Errori e Sicurezza Caso Excel: Errore nel Valore di una Glicemia Un errore comune in Excel è l’inserimento di valori non corretti a causa di formati non standardizzati. Supponiamo di avere una tabella in cui si registrano i valori di glicemia dei pazienti.
Productoras: Fausta Gantús y Alicia Salmerón Realización y música: Arturo Torres Salmerón Diseño de imagen: Rodrigo Salmerón “Resentir, luchar, recordar” narra la historia de la matanza de La Blanquita (1928), en la que perdieron la vida 18 campesinos. Sus viudas iniciaron un largo camino administrativo para lograr ser las propietarias de tierra. Se destaca el resentimiento como una emoción que movilizó a la acción política comunitaria.
The University of Bath Research Data Archive has added ORCIDs and RORs to their metadata. They were already a brightSpot among Universities at DataCite. Now they are even brighter!
Since the so-called immigration crisis in Europe in 2015, a number of attempts have been made to stem the flow of irregular migrants into Europe. This has triggered some hazy and populist ‘innovative’ externalisation policies focused on outsourcing asylum processing and hosting responsibilities to mostly impoverished or opportunistic third countries for a fee.
TL;DR: AI-generated-text detection ceased to be a good indicator of research fraud at the exact time that it became a good tool for generating fraudulent research. I remember finding ChatGPT usage in a research paper for the first time. It was April 2023, and a Twitter user pointed out that you could identify bots by their use of the phrase “as an AI language model…”. It’s a hallmark of ChatGPT usage.
Allianz-Studie bestätigt Investitionsbedarf für zukunftsfähige wissenschaftsgeleitete Open-Access-Infrastrukturen Die Allianz der Wissenschaftsorganisationen verfolgt eine Open-Access-Strategie, die sowohl Transformationsverträge (wie etwa DEAL) als auch nicht-kommerzielle Infrastrukturen für das wissenschaftliche Publizieren als Elemente zur Gestaltung der Open-Access-Transformation gleichermaßen unterstützt.
Licenses are an important topic within open source. Without licenses, information or code can be publicly available but not legally available for reuse or redistribution. The open source software community’s most common licenses are the MIT license or the GNU GPLv3. When you read the MIT or GNU license, you can see they are rather specific: and They aim to cover primarily software, not other forms of information such as, for example, data.
Division 1 of our Institute of Nutrition and Translational Research in Metabolism (NUTRIM) held a meeting last week which had a panel discussion on the use of patents to bring research to the market, aimed at PhD candidates of the institute. Patents are one of the routes to make research output more sustainable. For example, the research output into a new method to study something or make something often needs the development into a product.
I recently stumbled across Phil Ewels’s ~18 minute nf-core/bytesize talk on Excalidraw: For years I’ve been using draw.io for making flowcharts and diagrams for documentation, papers, presentations, and for general brainstorming and communication with my team, clients, and collaborators.1 Excalidraw (excalidraw.com) looks like an attractive alternative.
The promise of differential privacy is compelling. It offers a rigorous, provable guarantee of individual privacy, even in the face of arbitrary background knowledge. Rather than relying on anonymization techniques that can often be defeated, differential privacy works by injecting carefully calibrated noise into computations.
Differential Privacy (DP) is a mathematical framework that protects individual privacy in data analysis while allowing useful insights to be extracted. It works by adding carefully calibrated noise to data or query results, ensuring that including or excluding any single individual’s data doesn’t significantly change the analysis outcomes.