Tootfinder

I'm pretty happy with the top side Samtec ARF6 launch simulations now.
S11:
* Red: No cutout, -12 dB at 10 GHz, -7 at 20 GHz, -4.8 at 30 GHz
* Blue: Rectangular ground cutout the size of the pad, -22.5 at 10 GHz, -16.4 at 20 GHz, -11.7 at 30 GHz
* Green: 30um larger than the pad on all sides (1.06 x 0.41 mm), -30.5 at 10 GHz, -22 at 20, -15 at 30.
With the oversized cutout it's more than good enough for QSGMII and 25Gbase-R.
TDR:
* Red: No cutou…

Replaced article(s) found for q-bio.QM. https://arxiv.org/list/q-bio.QM/new
[1/1]:
- Generative diffusion model surrogates for mechanistic agent-based biological models
Comlekoglu, Toledo-Mar\'in, DeSimone, Peirce, Fox, Glazier

Human Locomotion Implicit Modeling Based Real-Time Gait Phase Estimation
Yuanlong Ji, Xingbang Yang, Ruoqi Zhao, Qihan Ye, Quan Zheng, Yubo Fan
https://arxiv.org/abs/2506.15150

Human Locomotion Implicit Modeling Based Real-Time Gait Phase Estimation
Gait phase estimation based on inertial measurement unit (IMU) signals facilitates precise adaptation of exoskeletons to individual gait variations. However, challenges remain in achieving high accuracy and robustness, particularly during periods of terrain changes. To address this, we develop a gait phase estimation neural network based on implicit modeling of human locomotion, which combines temporal convolution for feature extraction with transformer layers for multi-channel information fusi…

Designs for Queen Elizabeth’s Memorial Reflect a ‘Quietly Monumental’ Life Close to Nature https://www.goodnewsnetwork.org/designs-for-queen-elizabeths-memorial-reflect-a-quietly-monumental-life-close-to-nature/

Designs for Queen Elizabeth's Memorial Reflect a 'Quietly Monumental' Life Close to Nature
Organized by the Queen Elizabeth Memorial Committee, the chief aim is to design “an emotionally powerful place” in St. James' Park.

Advanced approach for Agile/Scrum Process: RetroAI
Maria Spichkova, Kevin Iwan, Madeleine Zwart, Hina Lee, Yuwon Yoon, Xiaohan Qin
https://arxiv.org/abs/2506.15172

Advanced approach for Agile/Scrum Process: RetroAI++
In Agile/Scrum software development, sprint planning and retrospective analysis are the key elements of project management. The aim of our work is to support software developers in these activities. In this paper, we present our prototype tool RetroAI++, based on emerging intelligent technologies. In our RetroAI++ prototype, we aim to automate and refine the practical application of Agile/Scrum processes within Sprint Planning and Retrospectives. Leveraging AI insights, our prototype aims to au…

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation
Ming Kang, Hang Li, Qiwen Tan, Zhan Wang, Ruipeng Li, Junfang Zhao, Hui Xiang, Dixia Fan
https://arxiv.org/abs/2506.14236

Physics-Informed Neural Networks for the Korteweg-de Vries Equation for Internal Solitary Wave Problem: Forward Simulation and Inverse Parameter Estimation
Physics-informed neural networks (PINNs) have emerged as a transformative framework for addressing operator learning and inverse problems involving the Korteweg-de Vries (KdV) equation for internal solitary waves. By integrating physical constraints with data-driven optimization, PINNs overcome the critical challenges of parameter unmeasurability in the KdV equation for internal solitary waves in two-layer fluid systems. This work addresses two problems: (1) Operator learning constructs a mappi…

I've been reminded the #cfp for #kvmforum is out: https://kvm-forum.qemu.org/2025/ entries close on th…

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- A Second-Order Majorant Algorithm for Nonnegative Matrix Factorization
Mai-Quyen Pham, J\'er\'emy Cohen, Thierry Chonavel

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
Xiyu Zhao, Qimei Cui, Wei Ni, Quan Z. Sheng, Abbas Jamalipour, Guoshun Nan, Xiaofeng Tao, Ping Zhang
https://arxiv.org/abs/2506.14237

A Novel Indicator for Quantifying and Minimizing Information Utility Loss of Robot Teams
The timely exchange of information among robots within a team is vital, but it can be constrained by limited wireless capacity. The inability to deliver information promptly can result in estimation errors that impact collaborative efforts among robots. In this paper, we propose a new metric termed Loss of Information Utility (LoIU) to quantify the freshness and utility of information critical for cooperation. The metric enables robots to prioritize information transmissions within bandwidth co…

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
Shunhan Ji, Yanxi Chen, Zhongyu Yang, Quan Zhang, Xiaohang Nie, Jingqian Sun, Yichao Tang
https://arxiv.org/abs/2506.14201

Pose State Perception of Interventional Robot for Cardio-cerebrovascular Procedures
In response to the increasing demand for cardiocerebrovascular interventional surgeries, precise control of interventional robots has become increasingly important. Within these complex vascular scenarios, the accurate and reliable perception of the pose state for interventional robots is particularly crucial. This paper presents a novel vision-based approach without the need of additional sensors or markers. The core of this paper's method consists of a three-part framework: firstly, a dual-he…