BibSonomy bookmarks for /concept/tag/interaction

Hal-lara

ouiam---saad — 2025-11-30T19:27:10+01:00

The AADI project aims to study the language and conversational behavior of people with Aphasia — a disorder affecting language, often caused by brain damage, that impairs speaking, understanding, or both.

Benefits of Browsing? The Prevalence, Nature, and Effects of Profile Consumption Behavior in Social Network Sites

mcestar33 — 2025-03-26T13:35:27+01:00

https://academic.oup.com/jcmc/article/23/2/72/4952044

Interacción del tramadol con la warfarina

jepcastel — 2024-07-05T13:15:24+02:00

(Tramadol-warfarin interaction) Drug and Therapeutics Bulletin 2024;62:36 https://doi.org/10.1136/dtb.2024.000008 Traducido por Salud y Fármacos, publicado en Boletín Fármacos: Farmacovigilancia 2024; 27 (2) Tags: riesgo de hemorragia, anticoagulantes, tratamiento del dolor y riesgo de hemorragia Resumen de: Danbury G Susan Gladstone: Informe sobre prevención de muertes futuras [en línea], 2023. Disponible: https://www.judiciary.uk/prevention-of-future-death-reports/susan-gladstone-prevention-offuture-deaths-report/ Consultado el 8 de enero de 2024]. Puntos más importantes En el Reino Unido, los médicos forenses tienen la obligación de informar los casos en los que consideren que se deben tomar medidas para prevenir futuras muertes. Un forense investigó el caso de una paciente que murió de hemorragia intraparenquimatosa y subaracnoidea. La investigación concluyó que la causa de la hemorragia fue una interacción entre warfarina y tramadol que provocó un grado significativo de anticoagulación. Un forense británico que concluyó que la muerte de una paciente se debió a una interacción generalmente desconocida entre la warfarina y el tramadol ha pedido a NHS (National Health Service o Servicio Nacional de Salud) de Inglaterra que tome medidas para prevenir futuras muertes por dicha interacción [1].

R Lavaan coding latent variable interactions - Stack Overflow

cmerino — 2024-05-28T05:23:18+02:00

https://stackoverflow.com/questions/24399353/r-lavaan-coding-latent-variable-interactions?rq=3

An Introduction to Interaction Effects in SEMs using ModSEM

cmerino — 2024-05-28T04:22:00+02:00

https://bookdown.org/slupphaugkjell/quartomodsem/

OSF | Testing and Interpreting Latent Variable Interactions using the semTools package

cmerino — 2024-03-30T05:04:32+01:00

https://osf.io/npq24/

SEM R lavaan: Moderation (Latent Interaction)

cmerino — 2023-08-26T02:02:57+02:00

http://www.regorz-statistik.de/en/lavaan_sem_latent_interaction.html

Stability of above-ground and below-ground processes to extreme drought in model grassland ecosystems: Interactions with plant species diversity and soil nitrogen availability.

alitriki — 2023-06-06T17:57:42+02:00

Extreme drought events have the potential to cause dramatic changes in ecosystem structure and function, but the controls upon ecosystem stability to drought remain poorly understood. Here we used model systems of two commonly occurring, temperate grassland communities to investigate the shortterm interactive effects of a simulated 100-year summer drought event, soil nitrogen (N) availability and plant species diversity (low/high) on key ecosystem processes related to carbon (C) and N cycling. Whole ecosystem CO2 fluxes and leaching losses were recorded during drought and post-rewetting. Litter decomposition and C/N stocks in vegetation, soil and soil microbes were assessed 4 weeks after the end of drought. Experimental drought caused strong reductions in ecosystem respiration and net ecosystem CO2 exchange, but ecosystem fluxes recovered rapidly following rewetting irrespective of N and species diversity. As expected, root C stocks and litter decomposition were adversely affected by drought across all N and plant diversity treatments. In contrast, drought increased soil water retention, organic nutrient leaching losses and soil fertility. Drought responses of above-ground vegetation C stocks varied depending on plant diversity, with greater stability of above-ground vegetation C to drought in the high versus low diversity treatment. This positive effect of high plant diversity on above-ground vegetation C stability coincided with a decrease in the stability of microbial biomass C. Unlike species diversity, soil N availability had limited effects on the stability of ecosystem processes to extreme drought. Overall, our findings indicate that extreme drought events promote post-drought soil nutrient retention and soil fertility, with cascading effects on ecosystem C fixation rates. Data on above-ground ecosystem processes underline the importance of species diversity for grassland function in a changing environment. Furthermore, our results suggest that plant–soil interactions play a key role for the short-term stability of above-ground vegetation C storage to extreme drought events.

What are political parties doing on TikTok? The Spanish case | Profesional de la información

nikolina_kos — 2023-03-27T16:47:56+02:00

https://doi.org/10.3145/epi.2021.jul.03

Don’t Just Give Me All the Data - Align KPIs with xAPI | Learning Solutions Magazine

ereidt — 2022-10-23T15:26:17+02:00

The Experience API (xAPI) allows us to collect data about any type of learning experience or activity, but does that mean we should? Should we generate massive amounts of xAPI data for every possible type of interaction and then expect to make sense of it all later? This approach can be costly in terms of data storage, but also in terms of your time.

How to support students to feel valued and understood in an increasingly digital world. | Wonkhe

ereidt — 2022-10-05T21:53:17+02:00

Sunday Blake dives into the latest in learning analytics and engagement data, and asks how universities can act upon it to make our interactions with students more human.

7 Detecting Interaction Effects | Feature Engineering and Selection: A Practical Approach for Predictive Models

becker — 2022-07-14T02:16:24+02:00

https://bookdown.org/max/FES/detecting-interaction-effects.html

A Tutorial on Interaction

becker — 2022-07-14T01:49:32+02:00

https://www.degruyter.com/document/doi/10.1515/em-2013-0005/html?lang=en

Classroomscreen | Home

yish — 2022-04-27T11:25:30+02:00

Support your class activities, stimulate engagement and help your students get to work by using the intuitive tools of Classroomscreen.

Stream Episode 14: Whose story does this learning analytics dashboard tell? by SoLAR Spotlight–Conversations on LearningAnalytics | Listen online for free on SoundCloud

ereidt — 2022-02-20T11:47:47+01:00

Dashboard is a prominent artefact that users interact with when it comes to learning analytics. What is a learning analytics dashboard ? Who is it for? What is the key to effective adoption of learning analytics dashboard? Listen to Martin Hlosta and Fabio Campos sharing their experience in supporting the use of learning analytics dashboard on a large scale.

Temporal networks in collaborative learning: A case study

ereidt — 2022-02-20T11:39:11+01:00

Saqr, M. & Peeters, W. (2022)

A virtuous cycle for analytics

ereidt — 2021-08-18T20:44:44+02:00

Jon Udell on 21 JUL 2021 Suppose you're a member of a team that runs a public web service. You need to help both internal and external users make sense of all the data that's recorded as it runs. That's been my role for the past few years, now it's time to summarize what I've learned.

Data science meets standardized game learning analytics

ereidt — 2021-05-09T12:08:45+02:00

Presentation by Cristina Alonso at EDUCON 2021, Special Session Education in the new Normal (eMadrid: EdNN), 22nd April 2021.

Enhancing online video recommendation using social user interactions

simonha94 — 2021-04-22T10:18:08+02:00

https://link.springer.com/article/10.1007/s00778-017-0469-2

Modelling Network Dynamics in Social Annotation at #LAK21Network Workshop - Speaker Deck

ereidt — 2021-04-18T09:46:38+02:00

Bodong Chen April 12, 2021