Tootfinder

Graffitti along the road downhill from Bertinoro castle taken while coming back from the daily morning run. Love & passion ;-)
#isws2025 #running #summerschool

Google Search Advertising after Dobbs v. Jackson
Yelena Mejova, Ronald E. Robertson, Catherine A. Gimbrone, Sarah McKetta
https://arxiv.org/abs/2507.06640 …

Google Search Advertising after Dobbs v. Jackson
Search engines have become the gateway to information, products, and services, including those concerning healthcare. Access to reproductive health has been especially complicated in the wake of the 2022 Dobbs v. Jackson decision by the Supreme Court of the United States, splintering abortion regulations among the states. In this study, we performed an audit of the advertisements shown to Google Search users seeking information about abortion across the United States during the year following t…

Geometry-Dependent Adhesion in Transparent, Monodomain Liquid Crystal Elastomers
Aidan Street, Devesh Mistry, Johan Mattsson, Helen F. Gleeson
https://arxiv.org/abs/2507.07639

Geometry-Dependent Adhesion in Transparent, Monodomain Liquid Crystal Elastomers
Elastomeric pressure-sensitive adhesives (PSAs) form adhesive bonds under light pressure. Liquid crystal elastomers (LCEs) are exciting PSA candidates as they can impart both anisotropy and temperature-dependence to adhesion, but the full potential of their anisotropic adhesion is unexplored. Here, identical side-chain LCEs, produced as transparent isotropic or nematic films are investigated; the latter aligned in homeotropic or planar geometries. Their room-temperature adhesion, determined thr…

Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors
Luca Fehlings, Muhtasim Alam Chowdhury, Banafsheh Saber Latibari, Soheil Salehi, Erika Covi
https://arxiv.org/abs/2506.09480

Reliability of Capacitive Read in Arrays of Ferroelectric Capacitors
The non-destructive capacitance read-out of ferroelectric capacitors (FeCaps) based on doped HfO$_2$ metal-ferroelectric-metal (MFM) structures offers the potential for low-power and highly scalable crossbar arrays. This is due to a number of factors, including the selector-less design, the absence of sneak paths, the power-efficient charge-based read operation, and the reduced IR drop. Nevertheless, a reliable capacitive readout presents certain challenges, particularly in regard to device var…

Court filings from in-ear hardware startup iyO's trademark dispute lawsuit against OpenAI detail OpenAI and io's early work on in-ear hardware devices (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/23/court-filing…

Court filings reveal OpenAI and io's early work on an AI device | TechCrunch
Court filings in a trademark case against OpenAI reveal some of the company's early work on developing AI devices.

How Raiders Have Different Feeling Heading into 2025 https://www.si.com/nfl/raiders/las-vegas-mark-davis-pete-carroll-geno-smith-john-spytek

Sometimes you look at a graph and think that a particular value seems a bit odd. Then you look at the other numbers and they seem off, too. At that point, you realise that the graph is not intended to clarify, but to obscure. On German #EV charging prices, Quartets and diesel.

Sometimes you look at a graph and think that a particular value seems a… | Jaap Burger
Sometimes you look at a graph and think that a particular value seems a bit odd. Then you look at the other numbers and they seem off, too. At that point, you realise that the graph is not intended to clarify, but to obscure. Thank you, Felix Hamer, for drawing attention to this recent slide from BDEW Bundesverband der Energie- und Wasserwirtschaft e.V. The title suggests that EV charging would only cost the same as filling up a diesel or petrol car for the same distance in an 'Extremszenario…

High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
Zehuan Chen, Xiangwei Lai
https://arxiv.org/abs/2507.05308 htt…

High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
Predicting Quality of Service (QoS) data crucial for cloud service selection, where user privacy is a critical concern. Federated Graph Neural Networks (FGNNs) can perform QoS data prediction as well as maintaining user privacy. However, existing FGNN-based QoS predictors commonly implement on-device training on scattered explicit user-service graphs, thereby failing to utilize the implicit user-user interactions. To address this issue, this study proposes a high order collaboration-oriented fe…

1/ f noise and two-level systems in MBE-grown Al thin films
Shouray Kumar Sahu, Yen-Hsun Glen Lin, Kuan-Hui Lai, Chao-Kai Cheng, Chun-Wei Wu, Elica Anne Heredia, Ray-Tai Wang, Yen-Hsiang Lin, Juainai Kwo, Minghwei Hong, Juhn-Jong Lin, Sheng-Shiuan Yeh
https://arxiv.org/abs/2507.01850

1/ f noise and two-level systems in MBE-grown Al thin films
Aluminum thin films are essential to the functionalities of electronic and quantum devices, where two-level systems (TLS) can degrade device performance. MBE-grown Al films may appeal to these applications due to their low TLS densities. We studied the energy distributions of TLS densities, g(E), in 10-nm-thick MBE-grown and electron-beam evaporated Al films through 1/f noise measurements between 80 and 360 K. At 300 K, the noise magnitudes in MBE-grown films are about three times lower than in…

The Soviet way with words 😂
(from https://en.m.wikipedia.org/wiki/Trofim_Lysenko)

Trofim Lysenko - Wikipedia