Tootfinder

this #seeedstudio #xiao #rp2350 looks cute!
https://www.

Seeed Studio XIAO RP2350
The XIAO RP2350 packs the power of the Raspberry Pi RP2350 (switchable architecture of dual Arm Cortex-M33 cores running at 150MHz with FPU, and dual open-hardware Hazard3 RISC‑V cores, enhanced security and encryption) into the classic XIAO form factor. Measuring just 21x17.8mm, it features 19 multifunction GPIOs, an RGB LED, and a Battery Management System with ultra-low power consumption of 27μA, battery power supply, and direct battery voltage measurement. Thanks to the XIAO ecosystem, t…

“While the smart charging strategy was not explicitly optimized for grid support, the results indicate substantial potential for grid-aware optimization. Additionally, the study observes that in some cases, EV charging can counteract reverse power flows from renewable generation, suggesting a dual role in both demand flexibility and renewable integration.”

Predicting the single-site and multi-site event discrimination power of dual-phase time projection chambers
A. B. M. R. Sazzad, C. A. Hardy, X. Dai, J. Xu, B. Lenardo, F. Sutanto, N. Antipa, J. Koertzen, P. John, A. Akinin, T. Pershing
https://arxiv.org/abs/2510.02258

Predicting the single-site and multi-site event discrimination power of dual-phase time projection chambers
Dual-phase xenon time projection chambers (TPCs) are widely used in searches for rare dark matter and neutrino interactions, in part because of their excellent position reconstruction capability in 3D. Despite their millimeter-scale resolution along the charge drift axis, xenon TPCs face challenges in resolving single-site (SS) and multi-site (MS) interactions in the transverse plane. In this paper, we build a generic TPC model with an idealized light-based signal readout, and use Fisher Inform…

Dual-IRS Aided Near-/Hybrid-Field SWIPT: Passive Beamforming and Independent Antenna Power Splitting Design
Chaoying Huang, Wen Chen, Qingqing Wu, Xusheng Zhu, Zhendong Li, Ying Wang, Jinhong Yuan
https://arxiv.org/abs/2508.20531

Dual-IRS Aided Near-/Hybrid-Field SWIPT: Passive Beamforming and Independent Antenna Power Splitting Design
This paper proposes a novel dual-intelligent reflecting surface (IRS) aided interference-limited simultaneous wireless information and power transfer (SWIPT) system with independent power splitting (PS), where each receiving antenna applies different PS factors to offer an advantageous trade-off between the useful information and harvested energy. We separately establish the near- and hybrid-field channel models for IRS-reflected links to evaluate the performance gain more precisely and practic…

Qualcomm unveils the Snapdragon W5 Gen 2 and W5 Gen 2 for wearables, with a new satellite messaging feature, improved GPS accuracy, better efficiency, and more (Michael L Hicks/Android Central)
https://www.androidcentral.com/wearables/s

The Snapdragon W5 Gen 2 inside the Pixel Watch 4 lacks a major performance boost — but it's not all bad news
Its NB-NTN satellite connectivity, smaller size, and dual-band GPS upgrades will make a significant difference — just not to raw power.

I'm trying to avoid Amazon, but it's hard when you want to try out something like: https://www.amazon.com/CABOCASA-Ultra-Thin-Concealer-Universal-Appliances/dp/B0D3D3KC7G?th=1
Any suggestions on how to get something like this a…

An elementary construction of the ring of dual $K$-$Q$-cancellation property
Shinsuke Iwao
https://arxiv.org/abs/2508.14484 https://arxiv.org/pdf/2508.1448…

An elementary construction of the ring of dual $K$-$Q$-cancellation property
This paper presents an elementary introduction on $K$-theoretic $Q$-functions, which were introduced by Ikeda and Naruse in 2013. These functions, which serve as $K$-theoretic analogs of Schur $Q$-functions, are known to possess combinatorial and algebraic constructions. In a 2022 paper, the author introduced ``$β$-deformed power-sums" to provide a simpler, more algebraic construction of these functions. Since the original approach relies on fermionic operators and vacuum expectation values, t…

Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
Chong You, Rajesh Jayaram, Ananda Theertha Suresh, Robin Nittka, Felix Yu, Sanjiv Kumar
https://arxiv.org/abs/2509.16411

Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe
Dual encoder (DE) models, where a pair of matching query and document are embedded into similar vector representations, are widely used in information retrieval due to their simplicity and scalability. However, the Euclidean geometry of the embedding space limits the expressive power of DEs, which may compromise their quality. This paper investigates such limitations in the context of hierarchical retrieval (HR), where the document set has a hierarchical structure and the matching documents for…

Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
Tong Wu, Anna Scaglione, Sandy Miguel, Daniel Arnold
https://arxiv.org/abs/2509.08672

Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
This work addresses a fundamental challenge in applying deep learning to power systems: developing neural network models that transfer across significant system changes, including networks with entirely different topologies and dimensionalities, without requiring training data from unseen reconfigurations. Despite extensive research, most ML-based approaches remain system-specific, limiting real-world deployment. This limitation stems from a dual barrier. First, topology changes shift feature d…

On the Viability of Weak Energy Condition Violation in Parity-Violating Electrodynamics
Tao Huang
https://arxiv.org/abs/2509.18188 https://arxiv.org/pdf/25…

An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
Liam Hallinan, Ioannis Lestas
https://arxiv.org/abs/2509.17785 https://a…

An Optimal Control Interpretation of Augmented Distributed Optimization Algorithms
Distributed optimization algorithms are used in a wide variety of problems involving complex network systems where the goal is for a set of agents in the network to solve a network-wide optimization problem via distributed update rules. In many applications, such as communication networks and power systems, transient performance of the algorithms is just as critical as convergence, as the algorithms link to physical processes which must behave well. Primal-dual algorithms have a long history in…

Dual-primal Isogeometric Tearing and Interconnecting Solvers for adaptively refined multi-patch configurations
Stefan Takacs, Stefan Tyoler
https://arxiv.org/abs/2510.08148 http…

Dual-primal Isogeometric Tearing and Interconnecting Solvers for adaptively refined multi-patch configurations
Isogeometric Analysis is a variant of the finite element method, where spline functions are used for the representation of both the geometry and the solution. Splines, particularly those with higher degree, achieve their full approximation power only if the solution is sufficiently regular. Since solutions are usually not regular everywhere, adaptive refinement is essential. Recently, a multi-patch-based adaptive refinement strategy based on recursive patch splitting has been proposed, which na…

Exploring the Spectral Edge in SYK Models
Bowen Ouyang, Pratik Rath
https://arxiv.org/abs/2510.07804 https://arxiv.org/pdf/2510.07804

Exploring the Spectral Edge in SYK Models
Previous work on Jackiw-Teitelboim (JT) gravity has shown that, at low temperatures, the annealed entropy becomes negative and departs from the quenched entropy. From the perspective of the random-matrix theory (RMT) dual of JT gravity, this effect is encoded in the level spacing statistics of the spectral edge that is universally described by the Airy model. At low temperature, the quenched entropy exhibits a power law dependence determined by the symmetry class of the RMT ensemble. Here we st…

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
Ningna Wang, Rui Xu, Yibo Yin, Zichun Zhong, Taku Komura, Wenping Wang, Xiaohu Guo
https://arxiv.org/abs/2510.10751

MATStruct: High-Quality Medial Mesh Computation via Structure-aware Variational Optimization
We propose a novel optimization framework for computing the medial axis transform that simultaneously preserves the medial structure and ensures high medial mesh quality. The medial structure, consisting of interconnected sheets, seams, and junctions, provides a natural volumetric decomposition of a 3D shape. Our method introduces a structure-aware, particle-based optimization pipeline guided by the restricted power diagram (RPD), which partitions the input volume into convex cells whose dual e…

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
Nafize Ishtiaque Hossain, Kundan Saha, Atul Sharma, Sameer Sonkusale
https://arxiv.org/abs/2509.14240

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
We report a scalable, self-powered in planta sensor platform for continuous monitoring of plant hydration and growth. The system integrates two components a leaf mounted tattoo sensor for estimating vapor pressure deficit and a kirigami inspired strain sensor for tracking radial stem growth. Uniquely, the tattoo sensor serves a dual function measuring temperature and humidity beneath the leaf surface while simultaneously harvesting power from ambient moisture via a vanadium pentoxide nanosheet …

Pricing Short-Circuit Current via a Primal-Dual Formulation for Preserving Integrality Constraints
Peng Wang, Luis Badesa
https://arxiv.org/abs/2510.05293 https://

Pricing Short-Circuit Current via a Primal-Dual Formulation for Preserving Integrality Constraints
Synchronous Generators (SGs) currently provide important levels of Short-Circuit Current (SCC), a critical ancillary service that ensures line protections trip during short-circuit faults. Given the ongoing replacement of SGs by power-electronics-based generation, which have a hard limit for current injection, it has become relevant to optimize the procurement of SCC provided by remaining SGs. Pricing this service is however challenging due to the integrality constraints in Unit Commitment (UC)…

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Zequan Liang, Ruoyu Zhang, Wei Shao, krishna Karthik, Ehsan Kourkchi, Setareh Rafatirad, Houman Homayoun
https://arxiv.org/abs/2509.12515

Rapid Adaptation of SpO2 Estimation to Wearable Devices via Transfer Learning on Low-Sampling-Rate PPG
Blood oxygen saturation (SpO2) is a vital marker for healthcare monitoring. Traditional SpO2 estimation methods often rely on complex clinical calibration, making them unsuitable for low-power, wearable applications. In this paper, we propose a transfer learning-based framework for the rapid adaptation of SpO2 estimation to energy-efficient wearable devices using low-sampling-rate (25Hz) dual-channel photoplethysmography (PPG). We first pretrain a bidirectional Long Short-Term Memory (BiLSTM) m…

Asymmetric Modulation Design for Fluid-Antenna SWIPT Systems
Ahsan Mehmood, Ioannis Krikidis, Ghassan M. Kraidy
https://arxiv.org/abs/2509.07610 https://ar…

Asymmetric Modulation Design for Fluid-Antenna SWIPT Systems
In this work, we propose the design of modulation schemes that improve the rate-energy region of fluid antenna-assisted simultaneous wireless information and power transfer (SWIPT) systems. By considering the nonlinear characteristics of practical energy harvesting circuits, we formulate a dual-objective rate-energy (RE) region optimization problem to jointly maximize the discrete-input mutual information (DIMI) and harvested current. The problem is solved using the epsilon-constraint method an…