Tootfinder

from my link log —
The origin and unexpected evolution of the word "mainframe".
https://www.righto.com/2025/02/origin-of-mainframe-term.html
saved 2025-08-26

The origin and unexpected evolution of the word "mainframe"
What is the origin of the word "mainframe", referring to a large, complex computer? Most sources agree that the term is related to the frame...

Before you head out for the weekend, don't miss today's Metacurity for the critical infosec developments you should know, including
--Com members doxx DHS and ICE employees,
--DPRK hackers use EtherHiding malware to turn blockchain into C2 server,
--Trump buys Dominion Voting Systems to be "America-owned,"
--Trump's DoJ sues voting tech company Smartmatic amid defamation suit,
--MI5 points to new Chinese threat disruption,
--Hackers st…

The Com members doxxed DHS and ICE workers
DPRK hackers use EtherHiding malware to turn blockchain into C2 server, Trump buys Dominion Voting Systems to be "America-owned," Trump's DoJ sues voting tech company Smartmatic amid defamation suit, MI5 points to new Chinese threat disruption, much more

All members of Coalition of the Willing agree that borders must not be changed by force - Zelensky
https://www.ukrinform.net/rubric-polytics/4026634-all-members-of-coalition-of-the-willing-agree-that-borders-must-not-be-changed-by-force-zelensky.html

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Benjamin Sterling, Yousef El-Laham, M\'onica F. Bugallo
https://arxiv.org/abs/2509.14225

Defending Diffusion Models Against Membership Inference Attacks via Higher-Order Langevin Dynamics
Recent advances in generative artificial intelligence applications have raised new data security concerns. This paper focuses on defending diffusion models against membership inference attacks. This type of attack occurs when the attacker can determine if a certain data point was used to train the model. Although diffusion models are intrinsically more resistant to membership inference attacks than other generative models, they are still susceptible. The defense proposed here utilizes criticall…

CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
Hongjin Fang, Daniel Reisenb\"uchler, Kenji Ikemura, Mert R. Sabuncu, Yihe Yang, Ruining Deng
https://arxiv.org/abs/2508.11469

CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
Accurate segmentation of the glomerular basement membrane (GBM) in electron microscopy (EM) images is fundamental for quantifying membrane thickness and supporting the diagnosis of various kidney diseases. While supervised deep learning approaches achieve high segmentation accuracy, their reliance on extensive pixel-level annotation renders them impractical for clinical workflows. Few-shot learning can reduce this annotation burden but often struggles to capture the fine structural details nece…

Semantic Fusion with Fuzzy-Membership Features for Controllable Language Modelling
Yongchao Huang, Hassan Raza
https://arxiv.org/abs/2509.13357 https://arx…

Semantic Fusion with Fuzzy-Membership Features for Controllable Language Modelling
We propose semantic fusion, a lightweight scheme that augments a Transformer language model (LM) with a parallel, fuzzy-membership feature channel that encodes token-level semantics. Each token is represented by a vector of interpretable features (e.g. part-of-speech cues, shallow roles, boundary flags, sentiment polarity and strength) whose values are graded degrees from differentiable membership functions (e.g. power kernels). These per-token vectors form a sentence-level semantic matrix fuse…

karate: Zachary Karate Club
Network of friendships among members of a university karate club. Includes metadata for faction membership after a social partition. Note: there are two versions of this network, one with 77 edges and one with 78, due to an ambiguous typo in the original study. (The most commonly used is the one with 78 edges.).
This network has 34 nodes and 77 edges.
Tags: Social, Offline, Unweighted

Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes
Hongchen Wang, Sima Zeinali Danalou, Jiahao Zhu, Kenneth Sulimro, Chaewon Lim, Smita Basak, Aimee Tai, Usan Siriwardana, Jason Hattrick-Simpers, Jay Werber
https://arxiv.org/abs/2508.10973…

Developing and Validating a High-Throughput Robotic System for the Accelerated Development of Porous Membranes
The development of porous polymeric membranes remains a labor-intensive process, often requiring extensive trial and error to identify optimal fabrication parameters. In this study, we present a fully automated platform for membrane fabrication and characterization via nonsolvent-induced phase separation (NIPS). The system integrates automated solution preparation, blade casting, controlled immersion, and compression testing, allowing precise control over fabrication parameters such as polymer …

RFK Jr. Adds Five More Unqualified, Anti-Vaxx Members To ACIP | Techdirt
https://www.techdirt.com/2025/09/16/rfk-jr-adds-five-more-unqualified-anti-vaxx-members-to-acip/