Tootfinder

Welcome to the nihilocracy -- Trump is blowing up essential functions in ways that might take decades or longer to restore. (Norman Ornstein/The Contrarian)
https://contrarian.substack.com/p/welcome-to-the-nihilocracy
http://www.memeorandum.com/250609/p64#a250609p64

Minoritised Ethnic People's Security and Privacy Concerns and Responses towards Essential Online Services
Aunam Quyoum, Mark Wong, Sebati Ghosh, Siamak F. Shahandashti
https://arxiv.org/abs/2506.06062

Minoritised Ethnic People's Security and Privacy Concerns and Responses towards Essential Online Services
Minoritised ethnic people are marginalised in society, and therefore at a higher risk of adverse online harms, including those arising from the loss of security and privacy of personal data. Despite this, there has been very little research focused on minoritised ethnic people's security and privacy concerns, attitudes, and behaviours. In this work, we provide the results of one of the first studies in this regard. We explore minoritised ethnic people's experiences of using essential online ser…

Neural Responses to Affective Sentences Reveal Signatures of Depression
Aditya Kommineni, Woojae Jeong, Kleanthis Avramidis, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Kristina Lerman, Idan A. Blank, Dani Byrd, Assal Habibi, B. Rael Cahn, Sudarsana Kadiri, Takfarinas Medani, Richard M. Leahy, Shrikanth Narayanan
https://

Neural Responses to Affective Sentences Reveal Signatures of Depression
Major Depressive Disorder (MDD) is a highly prevalent mental health condition, and a deeper understanding of its neurocognitive foundations is essential for identifying how core functions such as emotional and self-referential processing are affected. We investigate how depression alters the temporal dynamics of emotional processing by measuring neural responses to self-referential affective sentences using surface electroencephalography (EEG) in healthy and depressed individuals. Our results r…

So.. this Apple Liquid Glass thing that people are losing their minds over.. is just a new skin/theme (essentially).
With translucent, lower contrast icons. (which Im sure have been thoroughly tested with visual disability aids and their users?)
Exciting "news".
https://mastodo…

BasicAppleGuy (@BasicAppleGuy@mastodon.social)
Attached: 2 images Liquid Glass #WWDC25

Der Sommer beginnt – und mit ihm die große Wiederholungsparade von ARD und ZDF. Während die öffentlich-rechtlichen Sender über Unterfinanzierung klagen und eine Beitragserhöhung vor Gericht einklagen, stellt sich die Frage: Wofür zahlen wir eigentlich? – Horst Schulte https://horstschulte.co…

Sommer, Sonne, Sendepause: ARD und ZDF auf Sparflamme
Es ist wieder soweit. Die Rosen blühen, die Mücken tanzen – und ARD wie ZDF greifen tief ins Archiv. Die Programmpl...

8 Light writer Taylor Keazirian argues in favor of maintaining a set of "living" documents as part of software development project efforts. Common misconceptions about software documentation are addressed and refuted with insights on what a minimal technical set of documents for a software project should look like.
"Mastering Technical Documentation"

Mastering Technical Documentation | 8th Light
Technical documentation is an essential part of successful software development teams. Learn actionable strategies to create clear, maintainable, and effective docs. Boost efficiency, reduce bottlenecks, and empower your team.

Optimizing entanglement distribution via noisy quantum channels
Piotr Masajada, Marco Fellous-Asiani, Alexander Streltsov
https://arxiv.org/abs/2506.06089 …

Optimizing entanglement distribution via noisy quantum channels
Entanglement distribution is a crucial problem in quantum information science, owing to the essential role that entanglement plays in enabling advanced quantum protocols, including quantum teleportation and quantum cryptography. We investigate strategies for distributing quantum entanglement between two distant parties through noisy quantum channels. Specifically, we compare two configurations: one where the entanglement source is placed at the midpoint of the communication line, and another wh…

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Boyuan Deng, Luca Rossini, Jin Wang, Weijie Wang, Nikolaos Tsagarakis
https://arxiv.org/abs/2506.05516

Learning to Recover: Dynamic Reward Shaping with Wheel-Leg Coordination for Fallen Robots
Adaptive recovery from fall incidents are essential skills for the practical deployment of wheeled-legged robots, which uniquely combine the agility of legs with the speed of wheels for rapid recovery. However, traditional methods relying on preplanned recovery motions, simplified dynamics or sparse rewards often fail to produce robust recovery policies. This paper presents a learning-based framework integrating Episode-based Dynamic Reward Shaping and curriculum learning, which dynamically bal…

Flow-Attentional Graph Neural Networks
Pascal Plettenberg, Dominik K\"ohler, Bernhard Sick, Josephine M. Thomas
https://arxiv.org/abs/2506.06127 https…

Flow-Attentional Graph Neural Networks
Graph Neural Networks (GNNs) have become essential for learning from graph-structured data. However, existing GNNs do not consider the conservation law inherent in graphs associated with a flow of physical resources, such as electrical current in power grids or traffic in transportation networks, which can lead to reduced model performance. To address this, we propose flow attention, which adapts existing graph attention mechanisms to satisfy Kirchhoffś first law. Furthermore, we discuss how t…

TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
Valerija Holomjova, Jamie Grech, Dewei Yi, Bruno Yun, Andrew Starkey, Pascal Mei{\ss}ner
https://arxiv.org/abs/2506.05576

TD-TOG Dataset: Benchmarking Zero-Shot and One-Shot Task-Oriented Grasping for Object Generalization
Task-oriented grasping (TOG) is an essential preliminary step for robotic task execution, which involves predicting grasps on regions of target objects that facilitate intended tasks. Existing literature reveals there is a limited availability of TOG datasets for training and benchmarking despite large demand, which are often synthetic or have artifacts in mask annotations that hinder model performance. Moreover, TOG solutions often require affordance masks, grasps, and object masks for trainin…