Tootfinder

Als de VVD meegaat in de afdelingsmanoeuvre van Wilders en alle tijd aan het bespreken van zijn "voorstellen" gaat besteden in plaats van de echte problemen oplossen mbt woningen, arbeidsmigratie, onderwijs, defensie, economie, gezondheidszorg, dan zijn ze echt geen knip voor de neus waard.
#VVD #politiek

The effect of plasma-$\beta$ on the heating mechanisms during magnetic reconnection in partially ionized low solar atmosphere
Abdullah Zafar, Lei Ni, Kaifeng Kang, Guanchong Cheng, Jing Ye, Jun Lin, Ahmad Ali, Nadia Imtiaz
https://arxiv.org/abs/2506.17579

The effect of plasma-$β$ on the heating mechanisms during magnetic reconnection in partially ionized low solar atmosphere
We performed numerical simulations of magnetic reconnection with different strength of magnetic fields from the solar photosphere to the upper chromosphere. The main emphasis is to identify dominant mechanisms for heating plasmas in the reconnection region under different plasma-$β$ conditions in the partially ionized low solar atmosphere. The numerical results show that more plasmoids are generated in a lower $β$ reconnection event. The frequent coalescence of these plasmoids leads to a sign…

Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation
Abdulrahman Al-Fakih, Ardiansyah Koeshidayatullah, Nabil A. Saraih, Tapan Mukerji, Rayan Kanfar, Abdulmohsen Alali, SanLinn I. Kaka
https://arxiv.org/abs/2506.17747

Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation
Accurate geological modeling is critical for reservoir characterization, yet traditional methods struggle with complex subsurface heterogeneity, and they have problems with conditioning to observed data. This study introduces Pix2Geomodel, a novel conditional generative adversarial network (cGAN) framework based on Pix2Pix, designed to predict reservoir properties (facies, porosity, permeability, and water saturation) from the Rotliegend reservoir of the Groningen gas field. Utilizing a 7.6 mil…

Ik weet dat jullie zelf de weg wel kunnen vinden, maar om het wat makkelijker te maken:
Maak het verschil en word lid
https://groenlinkspvda.nl/word-lid/
'Lid worden kan vanaf €4 per maand' wordt naar gekeken om dat te verlagen nav motie/toezegging op het congres.

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Mahin Montasir Afif, Abdullah Al Noman, K. M. Tahsin Kabir, Md. Mortuza Ahmmed, Md. Mostafizur Rahman, Mufti Mahmud, Md. Ashraful Babu
https://arxiv.org/abs/2506.17165

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
Generative Adversarial Networks (GAN) have shown potential in expanding limited medical imaging datasets. This study explores how different ratios of GAN-generated and real brain tumor MRI images impact the performance of a CNN in classifying healthy vs. tumorous scans. A DCGAN was used to create synthetic images which were mixed with real ones at various ratios to train a custom CNN. The CNN was then evaluated on a separate real-world test set. Our results indicate that the model maintains hig…

“Noor, who made so many friends on Bluesky since she started an account there in the summer of 2023, had her account suddenly suspended on Friday. Bluesky did not send a reason for the suspension, so while she wrote an appeal, she did not know what actions she was appealing, so as of now it's still suspended. She’s been silenced, and effectively disappeared.”

A Future for Noor and Her Children
Hello! I'm Meave, a U.S. citizen sponsoring this fundraiser on behalf of my dear friend Noor Hassan and her children. Noor and her son Abdul Rahman are kind, generous people; though their original fundraiser succeeded last summer, supporting themselves and their extended family cost them everything. This fundraiser will allow them to support themselves and save up to buy passage to Egypt and pursue a better future.

heute mal wieder mit der kombi "tragbarer teebecher & tragbarer rechner" unterwegs gewesen zu einer besprechung mit meinen abteilungskolleginnen in einem unserer institutsgebäude. und mich wieder mal gefreut, dass sie alle in fußläufiger entfernung zur zentralbibliothek liegen. 😊

NFC East rookie first rounders all post danger to Cowboys but one stands out most https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/06/16/nfc-east-rookie-first-rounder-threat-cowboys/84223006007/…

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
Georgios Koutroumpas, Sebastian Idesis, Mireia Masias Bruns, Carlos Segura, Joemon M. Jose, Sergi Abadal, Ioannis Arapakis
https://arxiv.org/abs/2506.13409

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
Traditionally, Recommender Systems (RS) have primarily measured performance based on the accuracy and relevance of their recommendations. However, this algorithmic-centric approach overlooks how different types of recommendations impact user engagement and shape the overall quality of experience. In this paper, we shift the focus to the user and address for the first time the challenge of decoding the neural and behavioural variability across distinct recommendation categories, considering more…

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
Abdul Haque, Umm e Hani, Ahmad Din, Muhammad Babar, Ali Abbas, Insaf Ullah
https://arxiv.org/abs/2506.11600

GraphRAG-Causal: A novel graph-augmented framework for causal reasoning and annotation in news
GraphRAG-Causal introduces an innovative framework that combines graph-based retrieval with large language models to enhance causal reasoning in news analysis. Traditional NLP approaches often struggle with identifying complex, implicit causal links, especially in low-data scenarios. Our approach addresses these challenges by transforming annotated news headlines into structured causal knowledge graphs. It then employs a hybrid retrieval system that merges semantic embeddings with graph-based s…