Tootfinder

Boundary behaviour of layer potentials for the multi-term time-fractional diffusion equation
Karolina Pawlak
https://arxiv.org/abs/2506.15356 https://

Boundary behaviour of layer potentials for the multi-term time-fractional diffusion equation
This paper investigates the boundary behaviour of layer potentials for the multi-term time-fractional diffusion equation (MTFDE) across the moving boundary. First, we establish the jump relation for the double-layer potential associated with the fundamental solution of the inhomogeneous MTFDE. Second, we prove the continuity of the double-layer potential generated by the kernel corresponding to the homogeneous MTFDE. Krasnoschok obtained similar results for the time-fractional diffusion equatio…

First Steps Toward the Development of a Straight-Line Reference Alignment System for Future Accelerators at CERN Using Pseudo-Nondiffracting Layer Beams
Martin Du\v{s}ek, Sebastian Figura, Jakub Michal Polak, Solomon William Kamugasa, Dirk Mergelkuhl, Witold Niewiem, \v{S}t\v{e}p\'an Kunc, Jean-Christophe Gayde, Miroslav \v{S}ulc
https://

First Steps Toward the Development of a Straight-Line Reference Alignment System for Future Accelerators at CERN Using Pseudo-Nondiffracting Layer Beams
This paper presents experimental results that allow for the performance evaluation of a straight-line reference alignment system based on pseudo-nondiffracting Layer beams. Sensors, developed specifically for this system, feature four linear CMOS chips and a square aperture. This allows for simultaneous measurements along the beam path without disrupting the laser reference. Measurements, conducted over a distance of 2 m from the first to the last sensor, were compared with a laser tracker meas…

Initial simulation of Samtec ARC6 connector launch. No ground plane cutout so the diffpair impedance drops to about 65Ω at the connector so far.
That will have to change, of course, but I wanted a baseline for comparison.

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
Yuto Harada, Yusuke Yamauchi, Yusuke Oda, Yohei Oseki, Yusuke Miyao, Yu Takagi
https://arxiv.org/abs/2506.14681

Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality
Supervised fine-tuning (SFT) is a critical step in aligning large language models (LLMs) with human instructions and values, yet many aspects of SFT remain poorly understood. We trained a wide range of base models on a variety of datasets including code generation, mathematical reasoning, and general-domain tasks, resulting in 1,000+ SFT models under controlled conditions. We then identified the dataset properties that matter most and examined the layer-wise modifications introduced by SFT. Our…

Exciton condensation of composite fermions in double layer quantum Hall systems
Xiang-Jian Hou, Lei Wang, Ying-Hai Wu
https://arxiv.org/abs/2506.12539 http…

Exciton condensation of composite fermions in double layer quantum Hall systems
We study fractional quantum Hall states in double layer systems that can be interpreted as exciton condensates of composite fermions. An electron in one layer is dressed by two fluxes from the same layer and two fluxes from the other layer to become composite fermions that form effective Landau levels. It is found that two types of composite fermion exciton condensates could occur. In the first type ones, all effective levels are partially occupied and excitonic correlations are present between…

@… The latter, because I often do:
```
actual = do_the_thing()
assert actual == {
some: complex object
with: multiple properties
and: [
perhaps
another
layer
of
nesting
]
}
```

🇺🇦 #NowPlaying on KEXP's #MorningShow
The Smashing Pumpkins:
🎵 1979
#TheSmashingPumpkins
https://soundwavesofficial.bandcamp.com/album/the-smashing-pumpkins-1979-layer-by-layer
https://open.spotify.com/track/3h5zik31hTTat9jmpCZZNC

Towards High-Efficiency Solar Cells: Insights into AsNCa 3 Antiperovskite as Active Layer
M. Irfan, B. D. Aparicio-Huacarpuma, C. M. de Oliveira Bastos, M. J. Piotrowski, C. R. C. R\^ego, D. Guedes-Sobrinho, R. Besse, A. M. Almeida Silva, Alexandre C. Dias, L. A. Ribeiro Jr
https://arxiv.org/abs/2506.15403

Towards High-Efficiency Solar Cells: Insights into AsNCa 3 Antiperovskite as Active Layer
Advances in photovoltaic technology are a viable route to contribute to cleaner and more sustainable energy solutions, placing perovskite-based materials among the best candidates for solar energy conversion. However, some challenges must be addressed to enhance their performance and stability. Herein, we report an investigation of the AsNCa3 antiperovskite system for its potential in photovoltaic devices. We consider eight distinct crystalline phases, their structural parameters, dynamical sta…

Layer Pseudospin Superconductivity in Twisted MoTe$_2$
Jin-Xin Hu, Akito Daido, Zi-Ting Sun, Ying-Ming Xie, K. T. Law
https://arxiv.org/abs/2506.12767 http…

Layer Pseudospin Superconductivity in Twisted MoTe$_2$
Recent experiments have observed signatures of spin-valley-polarized unconventional superconductivity in twisted bilayer MoTe$_2$ (tMoTe$_2$). Here, we explore the rich physics of superconducting tMoTe$_2$, enabled by its unique layer-pseudospin structure. Within a minimal two-orbital layer-pseudospin model framework, both interlayer and intralayer Cooper pairings can be effectively visualized using a layer-space Bloch sphere representation. Remarkably, we find that interlayer pairing prevails …

Optimistic MEV in Ethereum Layer 2s: Why Blockspace Is Always in Demand
Ozan Solmaz, Lioba Heimbach, Yann Vonlanthen, Roger Wattenhofer
https://arxiv.org/abs/2506.14768

Optimistic MEV in Ethereum Layer 2s: Why Blockspace Is Always in Demand
Layer 2 rollups are rapidly absorbing DeFi activity, securing over $40 billion and accounting for nearly half of Ethereum's DEX volume by Q1 2025, yet their MEV dynamics remain understudied. We address this gap by defining and quantifying optimistic MEV, a form of speculative, on-chain cyclic arbitrage whose detection and execution logic reside largely on-chain in smart contracts. As a result of their speculative nature and lack of off-chain opportunity verification, optimistic MEV transactions…

Buy it Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions
Steven Su, Erik Rye, Robert Beverly, Dave Levin
https://arxiv.org/abs/2506.13052

Buy it Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions
Static and hard-coded layer-two network identifiers are well known to present security vulnerabilities and endanger user privacy. In this work, we introduce a new privacy attack against Wi-Fi access points listed on secondhand marketplaces. Specifically, we demonstrate the ability to remotely gather a large quantity of layer-two Wi-Fi identifiers by programmatically querying the eBay marketplace and applying state-of-the-art computer vision techniques to extract IEEE 802.11 BSSIDs from the sell…

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Jun Luo, Yifan Zhu, Tao Feng
https://arxiv.org/abs/2506.12409

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
Continual learning in vision-language models (VLMs) faces critical challenges in balancing parameter efficiency, memory consumption, and optimization stability. While First-Order (FO) optimization (e.g., SGD) dominate current approaches, their deterministic gradients often trap models in suboptimal local minima and incur substantial memory overhead. This paper pioneers a systematic exploration of Zeroth-Order (ZO) optimization for vision-language continual learning (VLCL). We first identify the…

Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
Mana Mohammadi, Amirhesam Jafari Rad, Ashkan Behrouzi
https://arxiv.org/abs/2506.15364

Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images
This paper presents a lightweight framework for classifying brain stroke types from Diffusion-Weighted Imaging (DWI) MRI scans, employing a Multi-Layer Perceptron (MLP) neural network with Wavelet Transform for feature extraction. Accurate and timely stroke detection is critical for effective treatment and improved patient outcomes in neuroimaging. While Convolutional Neural Networks (CNNs) are widely used for medical image analysis, their computational complexity often hinders deployment in re…

J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor
Benoit Tain, Raphael Millet, Romain Lemaire, Michal Szczepanski, Laurent Alacoque, Emmanuel Pluchart, Sylvain Choisnet, Rohit Prasad, Jerome Chossat, Pascal Pierunek, Pascal Vivet, Sebastien Thuries
https://arxiv.org/abs/2506.15316

J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor
This paper presents J3DAI, a tiny deep neural network-based hardware accelerator for a 3-layer 3D-stacked CMOS image sensor featuring an artificial intelligence (AI) chip integrating a Deep Neural Network (DNN)-based accelerator. The DNN accelerator is designed to efficiently perform neural network tasks such as image classification and segmentation. This paper focuses on the digital system of J3DAI, highlighting its Performance-Power-Area (PPA) characteristics and showcasing advanced edge AI c…

Golden Partition Zone: Rethinking Neural Network Partitioning Under Inversion Threats in Collaborative Inference
Rongke Liu, Youwen Zhu
https://arxiv.org/abs/2506.15412

Golden Partition Zone: Rethinking Neural Network Partitioning Under Inversion Threats in Collaborative Inference
In collaborative inference, intermediate features transmitted from edge devices can be exploited by adversaries to reconstruct original inputs via model inversion attacks (MIA). While existing defenses focus on shallow-layer protection, they often incur significant utility loss. A key open question is how to partition the edge-cloud model to maximize resistance to MIA while minimizing accuracy degradation. We first show that increasing model depth alone does not guarantee resistance. Through th…

ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor M. Aamodt
https://arxiv.org/abs/2506.13814 https://

ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Graphics rendering applications increasingly leverage neural networks in tasks such as denoising, supersampling, and frame extrapolation to improve image quality while maintaining frame rates. The temporal coherence inherent in these tasks presents an opportunity to reuse intermediate results from previous frames and avoid redundant computations. Recent work has shown that caching intermediate features to be reused in subsequent inferences is an effective method to reduce latency in diffusion m…

Replica RISM molecular solvation theory for electric double layer in nanoporous materials
A. Kovalenko
https://arxiv.org/abs/2506.14616 https://

Replica RISM molecular solvation theory for electric double layer in nanoporous materials
Applications of 3D-RISM-KH molecular solvation theory range from solvation energy of small molecules to phase behavior of polymers and biomolecules. It predicts the molecular mechanisms of chemical and biomolecular systems. Replica RISM-KH-VM molecular solvation theory predicts and explains the structure, thermodynamics, and electrochemistry of electrolyte solutions sorbed in a nanoporous material. It was tested on nanoporous carbon supercapacitors with aqueous electrolyte and nanoporous electr…

“This is my hole, it was made for me!” Via https://mastodon.ie/@jjcelery/114479860024539427
https://migurski.…

JJ Celery (@jjcelery@mastodon.ie)
Attached: 1 image *chuckles* 😂 (this is a layer 3 meme, I won't be providing an explanation)

An Atomic Cluster Expansion Potential for Twisted Multilayer Graphene
Yangshuai Wang, Drake Clark, Sambit Das, Ziyan Zhu, Daniel Massatt, Vikram Gavini, Mitchell Luskin, Christoph Ortner
https://arxiv.org/abs/2506.15061

An Atomic Cluster Expansion Potential for Twisted Multilayer Graphene
Twisted multilayer graphene, characterized by its moire patterns arising from inter-layer rotational misalignment, serves as a rich platform for exploring quantum phenomena. While first-principles calculations are computationally prohibitive and empirical interatomic potentials often lack accuracy, machine-learning interatomic potentials (MLIPs) present a promising alternative, offering (near-)DFT accuracy at a significantly reduced computational cost. Despite their success in two-dimensional m…

this might be one of the _least_ specific (but not completely non-specific) paragraphs in any specification i've ever read

Near-future rocket launches could slow ozone recovery: #launches would start harming the ozone layer – new research: https://theconversation.com/a-10-fold-increase-in-rocket-launches-would-start-harming-the-ozone-layer-new-research-257480

Fabrication of airbridges with gradient exposure
Yuting Sun, Jiayu Ding, Xiaoyu Xia, Xiaohan Wang, Jianwen Xu, Shuqing Song, Dong Lan, Jie Zhao, Yang Yu
https://arxiv.org/abs/2506.14565

Fabrication of airbridges with gradient exposure
In superconducting quantum circuits, airbridges are critical for eliminating parasitic slotline modes of coplanar waveguide circuits and reducing crosstalks between direct current magnetic flux biases. Here, we present a technique for fabricating superconducting airbridges. With this technique, a single layer of photoresist is employed, and the gradient exposure process is used to define the profile of airbridges. In order to properly obtain the bridge profile, we design exposure dosage based o…

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation
Shizhao Peng, Shoumo Li, Tianle Tao
https://arxiv.org/abs/2506.15102 https://

EVA-S2PMLP: Secure and Scalable Two-Party MLP via Spatial Transformation
Privacy-preserving neural network training in vertically partitioned scenarios is vital for secure collaborative modeling across institutions. This paper presents \textbf{EVA-S2PMLP}, an Efficient, Verifiable, and Accurate Secure Two-Party Multi-Layer Perceptron framework that introduces spatial-scale optimization for enhanced privacy and performance. To enable reliable computation under real-number domain, EVA-S2PMLP proposes a secure transformation pipeline that maps scalar inputs to vector a…

Design an Editable Speech-to-Sign-Language Transformer System: A Human-Centered AI Approach
Yingchao Li
https://arxiv.org/abs/2506.14677 https://

Design an Editable Speech-to-Sign-Language Transformer System: A Human-Centered AI Approach
This paper presents a human-centered, real-time, user-adaptive speech-to-sign language animation system that integrates Transformer-based motion generation with a transparent, user-editable JSON intermediate layer. The framework overcomes key limitations in prior sign language technologies by enabling direct user inspection and modification of sign segments, thus enhancing naturalness, expressiveness, and user agency. Leveraging a streaming Conformer encoder and autoregressive Transformer-MDN d…

Austin-based Autonomize AI, which develops AI agents for automating administrative workflows in healthcare and life sciences, raised a $28M Series A (Axios)
https://www.axios.com/pro/health-tech-deals/2025/06/12/autonomize-ai-raise…

Exclusive: Autonomize AI gets $28M for health agents
It's the latest sign of investor appetite for infrastructure-layer AI in health care.

Role of topotactic hydrogen in Superconductivity of Infinite-layer Nickelate NdNiO$_{2}$: A first-principles and variational Monte Carlo study
Manoj Gupta, Arun Kumar Maurya, Amal Medhi, Tanusri Saha Dasgupta
https://arxiv.org/abs/2506.13399

Role of topotactic hydrogen in Superconductivity of Infinite-layer Nickelate NdNiO$_{2}$: A first-principles and variational Monte Carlo study
Employing combination of first-principles calculations, low-energy model construction, and variational Monte Carlo solution of the ab-initio derived Hubbard model, we study the effect of hydrogenation in the electronic structure and superconducting properties of infinite-layer nickelate, NdNiO$_2$. We find that the introduction of hydrogen at the apical oxygen vacancy position strongly influences the Wannier function corresponding to the effective interstitial orbital at the Ni site bound to th…

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications
Yang Luo, Arunprakash Jayaprakash, Gaojie Chen, Chong Huang, Qu Luo, De Mi, Pei Xiao
https://arxiv.org/abs/2506.14557

Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications
Satellite communications are crucial for the evolution beyond fifth-generation networks. However, the dynamic nature of satellite channels and their inherent impairments present significant challenges. In this paper, a novel post-compensation scheme that combines the complex-valued extreme learning machine with augmented hidden layer (CELMAH) architecture and widely linear processing (WLP) is developed to address these issues by exploiting signal impropriety in satellite communications. Althoug…

Steady two-phase stratified MHD flows in wide rectangular ducts
Ilya Barmak, Subham Pal, Alexander Gelfgat, Neima Brauner
https://arxiv.org/abs/2506.13357 …

Steady two-phase stratified MHD flows in wide rectangular ducts
This study explores the effects of a non-conductive gas layer flowing concurrently with a conductive liquid on the two-phase flow characteristics in wide horizontal ducts under a constant vertical magnetic field. To this end, we present analytical solutions for the velocity profile and induced magnetic field in laminar gas-liquid stratified magnetohydrodynamic (MHD) flow between two infinite plates. The contributions of the Lorentz force and wall shear stresses to the pressure gradient are exam…

Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
Tuan Dat Phuong, Long-Vu Hoang, Huy Dat Tran
https://arxiv.org/abs/2506.14153

Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models
Recent advancements in speech synthesis technologies have led to increasingly advanced spoofing attacks, posing significant challenges for automatic speaker verification systems. While systems based on self-supervised learning (SSL) models, particularly the XLSR-Conformer model, have demonstrated remarkable performance in synthetic speech detection, there remains room for architectural improvements. In this paper, we propose a novel approach that replaces the traditional Multi-Layer Perceptron …

A Novel Dynamic Bandwidth Allocation Design for 100G Coherent Passive Optical Network
Rujia Zou, Haipeng Zhang, Karthik Sundaresan, Zhensheng Jia, Suresh Subramaniam
https://arxiv.org/abs/2506.14221

A Novel Dynamic Bandwidth Allocation Design for 100G Coherent Passive Optical Network
With the rapid advancements in coherent Passive Optical Network (PON) technologies featuring 100G and higher data rates, this paper addresses the urgent requirement for sophisticated simulation and MAC layer development within the domain of coherent Time Division Multiplexing (TDM) PON and coherent Time and Frequency Division Multiplexing (TFDM) PON networks. The ever-growing demand for latency-sensitive services and expanding user populations in next-generation 100G and beyond coherent PONs, u…

Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders
Ziheng Chen, Po T. Wang, Mina Ibrahim, Shivali Baveja, Rong Mu, An H. Do, Zoran Nenadic
https://arxiv.org/abs/2506.14120

Leveraging Transfer Learning and User-Specific Updates for Rapid Training of BCI Decoders
Lengthy subject- or session-specific data acquisition and calibration remain a key barrier to deploying electroencephalography (EEG)-based brain-computer interfaces (BCIs) outside the laboratory. Previous work has shown that cross subject, cross-session invariant features exist in EEG. We propose a transfer learning pipeline based on a two-layer convolutional neural network (CNN) that leverages these invariants to reduce the burden of data acquisition and calibration. A baseline model is traine…

Machine Learning-Based Estimation of Monthly GDP
Yonggeun Jung
https://arxiv.org/abs/2506.14078 https://arxiv.org/pdf/2506.14078

Machine Learning-Based Estimation of Monthly GDP
This paper proposes a scalable framework to estimate monthly GDP using machine learning methods. We apply Multi-Layer Perceptron (MLP), Long Short-Term Memory networks (LSTM), Extreme Gradient Boosting (XGBoost), and Elastic Net regression to map monthly indicators to quarterly GDP growth, and reconcile the outputs with actual aggregates. Using data from China, Germany, the UK, and the US, our method delivers robust performance across varied data environments. Benchmark comparisons with prior U…

A hybrid isogeometric and finite element method: NURBS-enhanced finite element method for hexahedral meshes
Duygu Sap
https://arxiv.org/abs/2506.13694 http…

A hybrid isogeometric and finite element method: NURBS-enhanced finite element method for hexahedral meshes
In this paper, we present a NURBS-enhanced finite element method that integrates NURBS-based boundary representations of geometric domains into standard finite element frameworks applied to hexahedral meshes. We decompose an open, bounded, convex three-dimensional domain with a NURBS boundary into two parts, define the NURBS-enhanced finite elements over the boundary layer, and use piecewise-linear Lagrange finite elements in the interior region. We introduce a novel quadrature rule and a novel…

Contentindustriell-journalistische Machwerke, die mir beim Lesen eines Textes, wenn ich ihn runterscrolle, um ihn weiterlesen zu können, einfach einen Layer mit allerlei Aufforderungen überlagern, können bitte mal gepflegt und qualvoll pressesterben gehen! Und die tintenklecksenden Contentersteller können sie auf den Weg ins Würmerloch mitnehmen.
Bitte keine Auferstehung und kein Zombiedasein. Es ist so schon gruselig genug.

Who says Seattle doesn't get as much sun as Cupertino?

Emergence of an Epsilon-Near-Zero Medium from Microscopic Atomic Principles
L. Ruks, J. Ruostekoski
https://arxiv.org/abs/2506.13294 https://

Emergence of an Epsilon-Near-Zero Medium from Microscopic Atomic Principles
We demonstrate that an effective near-zero refractive index can emerge from collective light scattering in a discrete atomic lattice, using essentially exact microscopic simulations. In a 25-layer array, cooperative response leads to over a thirtyfold increase in the effective optical wavelength within the medium, almost eliminating optical phase accumulation, with potential applications in spectroscopy and optical manipulation of quantum emitters. Crucially, the near-zero refractive index aris…

Green Therapy
(an impression from an early morning hike last July)
#ForestFriday #LandscapePhotography #NaturePhotography

SocialCredit
Thabassum Aslam, Anees Aslam
https://arxiv.org/abs/2506.12099 https://arxiv.org/pdf/2506.12099

SocialCredit+
SocialCredit+ is AI powered credit scoring system that leverages publicly available social media data to augment traditional credit evaluation. It uses a conversational banking assistant to gather user consent and fetch public profiles. Multimodal feature extractors analyze posts, bios, images, and friend networks to generate a rich behavioral profile. A specialized Sharia-compliance layer flags any non-halal indicators and prohibited financial behavior based on Islamic ethics. The platform emp…

Misfit layered superconductor (PbSe)1.14(NbSe2)3 with possible layer-selective FFLO state
Yuki M. Itahashi, Yamato Nohara, Michiya Chazono, Hideki Matsuoka, Koichiro Arioka, Tetsuya Nomoto, Yoshimitsu Kohama, Youichi Yanase, Yoshihiro Iwasa, Kaya Kobayashi
https://arxiv.org/abs/2506.14106

Misfit layered superconductor (PbSe)1.14(NbSe2)3 with possible layer-selective FFLO state
Two-dimensional (2D) superconductors are known for their novel emergent phenomena, however, lack of experimental probes beyond resistivity has hindered further exploration of diverse superconducting states. Bulk 2D superconductors, with superconducting layers separated by non-superconducting layers, offer a unique opportunity to break this limit. Here, we synthesized a single crystal of misfit layered compound (PbSe)1.14(NbSe2)3, composed of alternately stacked tri-layer NbSe2 and non-supercond…

Resolving Discrepancies in Wood Micromechanics: Strain-Mapped Compression of Tracheid Wall Micropillars
J\'ulio O. Amando de Barros, Jakob Schwiedrzik, Falk K. Wittel
https://arxiv.org/abs/2506.11177

Resolving Discrepancies in Wood Micromechanics: Strain-Mapped Compression of Tracheid Wall Micropillars
Wood's increasing role as a structural resource in sustainable materials selection demands accurate characterization of its mechanical behavior. Its performance arises from a hierarchical structure, where the dominant load-bearing component is the S2 layer of tracheid cell walls-a thick, fiber-reinforced composite of cellulose microfibrils embedded in hemicelluloses and lignin. Due to the small dimensions and anisotropic nature of the S2 layer, mechanical testing presents significant challenges…

Enhanced two-dimensional ferromagnetism in van der Waals $\beta$-UTe$_3$ monolayers
S. M. Thomas, A. E. Llacsahuanga, W. Simeth, C. S. Kengle, F. Orlandi, D. Khalyavin, P. Manuel, F. Ronning, E. D. Bauer, J. D. Thompson, Jian-Xin Zhu, A. O. Scheie, Yong P. Chen, P. F. S. Rosa
https://arxiv.org/abs/2506.15667

Enhanced two-dimensional ferromagnetism in van der Waals $β$-UTe$_3$ monolayers
The discovery of local-moment magnetism in van der Waals (vdW) semiconductors down to the single-layer limit has led to a paradigm shift in the understanding of two-dimensional (2D) magnets and unleashed their potential for applications in microelectronic and optoelectronic devices. The incorporation of strong electronic and magnetic correlations in 2D vdW metals remains a sought-after platform not only to enable control of emergent quantum phases, such as superconductivity, but also to achieve…

PAMBE growth of GaN nanowires on metallic ZrN buffers -- a critical impact of ZrN layer thickness on the growth temperature
Karol Olszewski, Zbigniew R. Zytkiewicz, Aleksandra Wierzbicka, Marek Guziewicz, Marta Sobanska
https://arxiv.org/abs/2506.11754

PAMBE growth of GaN nanowires on metallic ZrN buffers -- a critical impact of ZrN layer thickness on the growth temperature
An impact of thin metallic ZrN layers on Si and sapphire wafers on substrate temperature during MBE growth of GaN nanowires is studied. Using nucleation kinetics of GaN as a sensitive probe we show that a thin ZrN layer strongly increases the substrate temperature, which significantly affects the dimensions and density of the nanowires. To quantify the effect we developed a technique of optical pyrometer calibration that allows reliable determination of emissivity, and thus precise measurement …

🇺🇦 #NowPlaying on KEXP's #Early
The Smashing Pumpkins:
🎵 1979
#TheSmashingPumpkins
https://soundwavesofficial.bandcamp.com/album/the-smashing-pumpkins-1979-layer-by-layer
https://open.spotify.com/track/3h5zik31hTTat9jmpCZZNC

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
Zhiqing Tang, Wentao Peng, Jianxiong Guo, Jiong Lou, Hanshuai Cui, Tian Wang, Yuan Wu, Weijia Jia
https://arxiv.org/abs/2506.03694

LRScheduler: A Layer-aware and Resource-adaptive Container Scheduler in Edge Computing
Lightweight containers provide an efficient approach for deploying computation-intensive applications in network edge. The layered storage structure of container images can further reduce the deployment cost and container startup time. Existing researches discuss layer sharing scheduling theoretically but with little attention paid to the practical implementation. To fill in this gap, we propose and implement a Layer-aware and Resource-adaptive container Scheduler (LRScheduler) in edge computin…

This is why there was a hole in the ozone layer. #totp #hairspray

This https://arxiv.org/abs/2309.04154 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Modeling, control, and stiffness regulation of layer jamming-based continuum robots
Continuum robots with variable compliance have gained significant attention due to their adaptability in unstructured environments. Among various stiffness modulation techniques, layer jamming (LJ) provides a simple yet effective approach for achieving tunable stiffness. However, most existing LJ-based continuum robot models rely on static or quasi-static approximations, lacking a rigorous control-oriented dynamical formulation. Consequently, they are unsuitable for real-time control tasks requ…

'Sovereign AI' is just political branding, signaling to nationalist impulses while continuing to pour money into big tech firms. It's a mask for a sucker's game.
"This reveals a new kind of digital colonialism. Not one where countries are denied access, but one where they are structurally bound into dependencies across every layer of the AI stack. A European lab may host its own weights on a data center in France, but that center runs on American hardware, software…

‘Sovereign AI’ is political branding. The reality is closer to digital colonialism
The harder nations push for AI independence, the deeper their dependencies become.

Anisotropic In-plane Thermal Conductivity of Freestanding Few-layer ReS2
Manavendra Pratap Singh, Akshay Naik
https://arxiv.org/abs/2506.09500 https://

Anisotropic In-plane Thermal Conductivity of Freestanding Few-layer ReS2
Rhenium disulfide (ReS2) is a unique TMDC with a strong in-plane anisotropy and weak interlayer coupling. The pronounced anisotropy in the thermal conductivity observed in bulk ReS2 flakes (exceeding 60 nm) makes them valuable for applications that require directional heat management or isolation. Whether this anisotropy is maintained below 10 nm has not yet been studied. Here, we measured the thermal conductivity of freestanding, exfoliated, few-layer ReS2 samples (thickness < 10 nm) on SiO2/S…

Buy it Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions
Steven Su, Erik Rye, Robert Beverly, Dave Levin
https://arxiv.org/abs/2506.13052

Buy it Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions
Static and hard-coded layer-two network identifiers are well known to present security vulnerabilities and endanger user privacy. In this work, we introduce a new privacy attack against Wi-Fi access points listed on secondhand marketplaces. Specifically, we demonstrate the ability to remotely gather a large quantity of layer-two Wi-Fi identifiers by programmatically querying the eBay marketplace and applying state-of-the-art computer vision techniques to extract IEEE 802.11 BSSIDs from the sell…

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
Sukanya Samanta
https://arxiv.org/abs/2506.10017 https://

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
Intercepting a criminal using limited police resources presents a significant challenge in dynamic crime environments, where the criminal's location continuously changes over time. The complexity is further heightened by the vastness of the transportation network. To tackle this problem, we propose a layered graph representation, in which each time step is associated with a duplicate of the transportation network. For any given set of attacker strategies, a near-optimal defender strategy is com…

why does kicad have this insistence on putting PCB artwork on sheets
nobody does that. nobody wants to have PCBs on A4 sheets on paper. nobody wants to have them printed out layer by layer, it's 2025, come on

Sparse Autoencoders Bridge The Deep Learning Model and The Brain
Ziming Mao, Jia Xu, Zeqi Zheng, Haofang Zheng, Dabing Sheng, Yaochu Jin, Guoyuan Yang
https://arxiv.org/abs/2506.11123

Sparse Autoencoders Bridge The Deep Learning Model and The Brain
We present SAE-BrainMap, a novel framework that directly aligns deep learning visual model representations with voxel-level fMRI responses using sparse autoencoders (SAEs). First, we train layer-wise SAEs on model activations and compute the correlations between SAE unit activations and cortical fMRI signals elicited by the same natural image stimuli with cosine similarity, revealing strong activation correspondence (maximum similarity up to 0.76). Depending on this alignment, we construct a vo…

Shopify partners with Coinbase to enable USDC payments for its merchants through Coinbase's Base layer-2 network, starting with a limited group of merchants (CoinDesk)
https://www.coindesk.com/business/2025/06/

Coinbase (COIN), Shopify (SHOP) Partner to Enable USDC Payments on Base for Merchants Worldwide
The integration is set to roll out on June 12 to a limited group of early access merchants, with wider availability expected later in the year.

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
Physics-Informed Priors with Application to Boundary Layer Velocity

Just playing a bit of Dwarf Fortress in a biome where it rains poisonous mucus, so the surface is kind of tricky.
All my grazing animals died before I could reach a cavern layer (my incompetence).
Traders came but brought no food.
The only thing my dwarves have eaten for 2 years is turkey eggs.
Hopefully I can sort this out before they are all clad head to toe only in turkey leather.
Got some pigs but they take ages to grow to adulthood.
Spirits are amazing…

Simulation of dark photon sensitivity in $\eta \rightarrow \gamma e^ e^-$ at HIAF
Zaiba Mushtaq, Rong Wang, Xiaolin Kang, Yang Liu, Ye Tian, Xiong He, Hao Qiu, Xurong Chen
https://arxiv.org/abs/2506.11733

Simulation of dark photon sensitivity in $η\rightarrow γe^+e^-$ at HIAF
We present a simulation study of dark photon sensitivity in a suggested $η$ factory experiment at Huizhou. The vast number of $η$ mesons are produced by bombarding the high-intensity HIAF proton beam on a multi-layer target of light nucleus. The kinematic energy of the beam is at 1.8 GeV. For a prior experiment of one-month running, about $5.9 \times 10^{11}$ $η$ samples would be collected, providing substantial data for a sound statistical analysis. A compact spectrometer based on the full …

A simple GUI-based screencast demo of the @… AI Layer (OPAL), showing what’s now possible via MCP A2A—namely, composing and orchestrating agentic workflows through loosely coupled software.
How?
An Agent Host routes tasks to Agents via A2A. Agents then invoke MCP-accessible tools (functions, procedures, APIs) described using JSON/YAML and exposed …

Neural Functions for Learning Periodic Signal
Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park
https://arxiv.org/abs/2506.09526 https://

Neural Functions for Learning Periodic Signal
As function approximators, deep neural networks have served as an effective tool to represent various signal types. Recent approaches utilize multi-layer perceptrons (MLPs) to learn a nonlinear mapping from a coordinate to its corresponding signal, facilitating the learning of continuous neural representations from discrete data points. Despite notable successes in learning diverse signal types, coordinate-based MLPs often face issues of overfitting and limited generalizability beyond the train…

Tunable plasmon modes and topological transitions in single- and bilayer semi-Dirac materials
Debasmita Giri, John Schliemann, Rafael Molina, Alexander Lopez
https://arxiv.org/abs/2506.12807

Tunable plasmon modes and topological transitions in single- and bilayer semi-Dirac materials
We investigate the plasmonic response of single- and bilayer semi-Dirac materials under the influence of a tunable parameter $δ$ that governs topological transitions via Dirac cone generation/merging and incorporating band inversion terms. For single-layer systems, we demonstrate that the emergence of Dirac cones leads to an enhanced plasmon frequency range and that the plasmonic spectrum exhibits strong anisotropy, especially for finite $δ$ and vanishing inversion terms. In the bilayer confi…

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
Anand Dev Ranjan, Suyash Narayan Amzare, Subhrokoli Ghosh, Ayan Banerjee
https://arxiv.org/abs/2506.10320

Laser Guided Microbubble Lithography for Multilayer Biophotonic Heterostructures
The fabrication of multilayered heterostructures is essential for advancing microelectronic and biosensing technologies. Conventional top-down manufacturing techniques are often cost-prohibitive and unsuitable for biomedical applications. Here, we present a bottom-up fabrication method, termed microbubble lithography, which enables the in situ construction of multilayered microstructures through layer-by-layer self-assembly. This technique allows diverse materials to be integrated into coherent…

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop
Jordi de la Torre
https://arxiv.org/abs/2506.10021 https://

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop
We propose a novel architecture for integrating large language models (LLMs) with a persistent, interactive Lisp environment. This setup enables LLMs to define, invoke, and evolve their own tools through programmatic interaction with a live REPL. By embedding Lisp expressions within generation and intercepting them via a middleware layer, the system allows for stateful external memory, reflective programming, and dynamic tool creation. We present a design framework and architectural principles …

From afar, I'm loving the currently viral tiktok/insta livecoding genre started by Char Stiles, Jade Rowland and DJ Dave - tersely explaining all the functions of a set of strudel patterns, quickly building up a banging euphoric track while trying to suppress emotions enough to speak
I would love to see a version of this but the outcome is totally chaotic noise music that makes no sense where the person just has to shout over it to try to be heard while adding layer on layer of pat…

This https://arxiv.org/abs/2505.18132 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models
Large vision models (LVM) based gait recognition has achieved impressive performance. However, existing LVM-based approaches may overemphasize gait priors while neglecting the intrinsic value of LVM itself, particularly the rich, distinct representations across its multi-layers. To adequately unlock LVM's potential, this work investigates the impact of layer-wise representations on downstream recognition tasks. Our analysis reveals that LVM's intermediate layers offer complementary properties a…

"So, I climbed to the top of the pyramid of pain - now what?"
An interesting Human Layer Kill Chain framework.
#threatintel #threatintelligence
🔗

Anomaly Detection for Sensing Security
Stefan Roth, Aydin Sezgin
https://arxiv.org/abs/2506.10718 https://arxiv.org/pdf/2506.10718

Anomaly Detection for Sensing Security
Various approaches in the field of physical layer security involve anomaly detection, such as physical layer authentication, sensing attacks, and anti-tampering solutions. Depending on the context in which these approaches are applied, anomaly detection needs to be computationally lightweight, resilient to changes in temperature and environment, and robust against phase noise. We adapt moving average filters, autoregression filters and Kalman filters to provide predictions of feature vectors th…

Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features
Angel Yanguas-Gil, Jeffrey W. Elam
https://arxiv.org/abs/2506.09313

Surrogate models to optimize plasma assisted atomic layer deposition in high aspect ratio features
In this work we explore surrogate models to optimize plasma enhanced atomic layer deposition (PEALD) in high aspect ratio features. In plasma-based processes such as PEALD and atomic layer etching, surface recombination can dominate the reactivity of plasma species with the surface, which can lead to unfeasibly long exposure times to achieve full conformality inside nanostructures like high aspect ratio vias. Using a synthetic dataset based on simulations of PEALD, we train artificial neural ne…

Modelling intermediate internal waves with currents and variable bottom
Rossen Ivanov, Lyudmila Ivanova
https://arxiv.org/abs/2506.10123 https://

Modelling intermediate internal waves with currents and variable bottom
A model for internal interfacial waves between two layers of fluid in the presence of current and variable bottom is studied in the flat-surface approximation. Fluids are assumed to be incompressible and inviscid. Another assumption is that the upper layer is considerably deeper with a lower density than the lower layer. The fluid dynamics is presented in Hamiltonian form with appropriate Dirichlet-Neumann operators for the two fluid domains, and the depth-dependent current is taken into accoun…

Don't mind me, just over here escape-routing this BGA inside out

Stability analysis of time-periodic shear flow generated by an oscillating density interface
Lima Biswas, Anirban Guha
https://arxiv.org/abs/2506.13893 htt…

Stability analysis of time-periodic shear flow generated by an oscillating density interface
We consider the conceptual two-layered oscillating tank of Inoue & Smyth (2009), which mimics the time-periodic parallel shear flow generated by low-frequency (e.g. semi-diurnal tides) and small-angle oscillations of the density interface. Such self-induced shear of an oscillating pycnocline may provide an alternate pathway to pycnocline turbulence and diapycnal mixing in addition to the turbulence and mixing driven by wind-induced shear of the surface mixed layer. We theoretically investigate …

Solace! Spirit cleansing.
(Incredible light on our morning hike today. So very grateful for these experiences, especially these days... 🙏)
#LandscapePhotography #NaturePhotography #MorningWalk

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
Junqing Zhang, Francesco Ardizzon, Mattia Piana, Guanxiong Shen, Stefano Tomasin
https://arxiv.org/abs/2506.09807

Physical Layer-Based Device Fingerprinting for Wireless Security: From Theory to Practice
The identification of the devices from which a message is received is part of security mechanisms to ensure authentication in wireless communications. Conventional authentication approaches are cryptography-based, which, however, are usually computationally expensive and not adequate in the Internet of Things (IoT), where devices tend to be low-cost and with limited resources. This paper provides a comprehensive survey of physical layer-based device fingerprinting, which is an emerging device a…

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

Topological impact of nanopore electrodes on the structure of the electrical double layer and the di erential capacitance
A. Silva-Caballero, A. Lozada-Hidalgo, M. Lozada-Cassou
https://arxiv.org/abs/2506.05654

Topological impact of nanopore electrodes on the structure of the electrical double layer and the di erential capacitance
The electrical double layer for three different topologies of nanopore electrodes is studied, i.e., the interior and exterior electrical double layers of planar, cylindrical and spherical nanopores immersed into a point-ions electrolyte, and not connected to a power source, are analytically attained through the linearized Poisson-Boltzmann equation.

A Soft Robotic Module with Pneumatic Actuation and Enhanced Controllability Using a Shape Memory Alloy Wire
Mohammadnavid Golchin
https://arxiv.org/abs/2506.05741

A Soft Robotic Module with Pneumatic Actuation and Enhanced Controllability Using a Shape Memory Alloy Wire
In this paper, a compressed air-actuated soft robotic module was developed by incorporating a shape memory alloy (SMA) wire into its structure to achieve the desired bending angle with greater precision. First, a fiber-reinforced bending module with a strain-limiting layer made of polypropylene was fabricated. The SMA wire was then placed in a silicon matrix, which was used as a new strain-limiting layer. A simple closed-loop control algorithm was used to regulate the bending angle of the soft …

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…

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
Jiawang Li
https://arxiv.org/abs/2506.00361

Single-layer Circular SIW Filtenna With Beam Scanning Capability for 5G Millimeter Wave Communication Applications
In this communication, two novel low-cost single-layer filtering antennas (filtennas) are proposed for millimeter wave (mmWave) applications. The proposed filtennas consists of a compact circular substrate integrated waveguide (SIW) cavity, a metal post close to the center of the cavity for power feeding, a metal post in the center for modes controlling, and a slot for radiating power. In the passband, the fundamental TM010 mode and the TM110 mode in the circular SIW cavity are excited by the f…

A Comparative Analyses Of Network Formation In Low-power Lossy Networks: ContikiMAC vs Orchestra-enabled TSCH
Heerok Banerjee
https://arxiv.org/abs/2506.06688

A Comparative Analyses Of Network Formation In Low-power Lossy Networks: ContikiMAC vs Orchestra-enabled TSCH
Medium Access Control (MAC) layer protocols are the underlying paradigms which dictate the transmission & reception of data in any network. Particularly for Low-powered Lossy Networks (LLNs), the design and selection of appropiate MAC-layer protocols is crucial inorder to satisfy several networking objectives such as joining time, network lifetime, energy consumption, end-to-end-delay, etc. In this report, we have presented a comparative analysis between Contiki-MAC and Orchestra-enabled TSCH p…

The Secure Overview and Analysis OF 3GPP MAC CE
Jin Cao, Yuanyuan Yang, Ruhui Ma, Sheng Li, Hui Li
https://arxiv.org/abs/2506.09502 https://

The Secure Overview and Analysis OF 3GPP MAC CE
To more effectively control and allocate network resources, MAC CE has been introduced into the network protocol, which is a type of control signaling located in the MAC layer. Since MAC CE lacks encryption and integrity protection mechanisms provided by PDCP, the control signaling carried by MAC CE is vulnerable to interception or tampering by attackers during resource scheduling and allocation. Currently, the 3GPP has analyzed the security risks of Layer 1/Layer 2 Triggered Mobility (LTM), wh…

Resolving Phonons in Superconductor Bi2Sr2CaCu2O8 {\delta} at Sub-Unit-Cell Resolution
Xiaowen Zhang, Jiade Li, Xiaoyue Gao, Ruochen Shi, Bo Han, Xiaomei Li, Jinlong Du, Jinsheng Wen, Genda Gu, Shichong Wang, Wentao Zhang, Peng Gao
https://arxiv.org/abs/2506.14127

Resolving Phonons in Superconductor Bi2Sr2CaCu2O8+δ at Sub-Unit-Cell Resolution
The role of phonons in cuprates remains controversial, with their complex lattice structure complicating the investigation. Here, we identify phonon modes originating from charge reservoir and superconducting layers of Bi2Sr2CaCu2O8+δ using sub-unit-cell resolved electron energy loss spectroscopy in a scanning transmission electron microscope. We reveal several phonon modes exhibiting layer-specific localization: ~78 meV in-plane modes localized in the CuO2 planes, ~42 meV hybrid (in-plane and…

paris_transportation: Paris Transportation (2016)
A multiplex transportation network of Ile-de-France, jointly representing the road network, train network, and subway network. Nodes are intersections, rail stations or metro stations. Different modes of transportation are given by different layers. Within-layer edges represent direct transference by a particular mode of transportation, and between-layer edges represent the conjunction of those layers at that node.
This network ha…

This https://arxiv.org/abs/2505.17282 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Attention with Trained Embeddings Provably Selects Important Tokens
Token embeddings play a crucial role in language modeling but, despite this practical relevance, their theoretical understanding remains limited. Our paper addresses the gap by characterizing the structure of embeddings obtained via gradient descent. Specifically, we consider a one-layer softmax attention model with a linear head for binary classification, i.e., $\texttt{Softmax}( p^\top E_X^\top ) E_X v = \frac{ \sum_{i=1}^T \exp(p^\top E_{x_i}) E_{x_i}^\top v}{\sum_{j=1}^T \exp(p^\top E_{x_{j…

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing
Zhaoyuan Su, Tingfeng Lan, Zirui Wang, Juncheng Yang, Yue Cheng
https://arxiv.org/abs/2506.02006

Efficient and Workload-Aware LLM Serving via Runtime Layer Swapping and KV Cache Resizing
Efficiently serving large language models (LLMs) under dynamic and bursty workloads remains a key challenge for real-world deployment. Existing serving frameworks and static model compression techniques fail to adapt to workload fluctuations, leading to either service-level objective (SLO) violations under full-precision serving or persistent accuracy degradation with static quantization. We present MorphServe, a dynamic, workload-aware LLM serving framework based on morphological adaptation. M…

This https://arxiv.org/abs/2506.03978 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Structured Pruning for Diverse Best-of-N Reasoning Optimization
Model pruning in transformer-based language models, traditionally viewed as a means of achieving computational savings, can enhance the model's reasoning capabilities. In this work, we uncover a surprising phenomenon: the selective pruning of certain attention heads leads to improvements in reasoning performance, particularly on challenging tasks. Motivated by this observation, we propose SPRINT, a novel contrastive learning framework that dynamically selects the optimal head and layer to prune…

Fine-Grained control over Music Generation with Activation Steering
Dipanshu Panda, Jayden Koshy Joe, Harshith M R, Swathi Narashiman, Pranay Mathur, Anish Veerakumar, Aniruddh Krishna, Keerthiharan A
https://arxiv.org/abs/2506.10225

Fine-Grained control over Music Generation with Activation Steering
We present a method for fine-grained control over music generation through inference-time interventions on an autoregressive generative music transformer called MusicGen. Our approach enables timbre transfer, style transfer, and genre fusion by steering the residual stream using weights of linear probes trained on it, or by steering the attention layer activations in a similar manner. We observe that modelling this as a regression task provides improved performance, hypothesizing that the mean-…

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
Inhar Yeregui, Daniel Mej\'ias, Mikel Zorrilla, Roberto Viola, Jasone Astorga, Eduardo Jacob
https://arxiv.org/abs/2505.22123

Leveraging 5G Physical Layer Monitoring for Adaptive Remote Rendering in XR Applications
As immersive eXtended Reality (XR) applications demand substantial network resources, understanding their interaction with 5G networks becomes crucial to improve them. This paper investigates the role of 5G physical-layer monitoring to manage and enhance the remote rendering of XR content dynamically. By observing network metrics directly from the physical layer, we propose a system to adapt streaming parameters such as bitrate, framerate, and resolution in real time based on available network …

Disorder-induced suppression of superconductivity in infinite-layer nickelates
Abhishek Ranna, Romain Grasset, Martin Gonzalez, Kyuho Lee, Bai Yang Wang, Edgar Abarca Morales, Florian Theuss, Zuzanna H. Filipiak, Michal Moravec, Marcin Konczykowski, Harold Y. Hwang, Andrew P. Mackenzie, Berit H. Goodge
https://arxiv.org/abs/2506…

Disorder-induced suppression of superconductivity in infinite-layer nickelates
The pairing symmetry of superconducting infinite-layer nickelates is a fundamental yet experimentally challenging question. We employ high-energy electron irradiation to induce disorder in superconducting Nd$_{0.825}$Sr$_{0.175}$NiO$_2$ thin films and examine the impact of pair-breaking defects on superconductivity and elucidate the nature of the superconducting gap. Our measurements reveal a complete suppression of superconductivity with increasing disorder, suggesting an unconventional, sign-…

Orbital Hall Effect Enables Field-Free Magnetization Reversal in Ferrimagnets without Additional Conversion Layer
Zelalem Abebe Bekele, Kun Lei, Xiukai Lan, Xiangyu Liu, Hui Wen, Weihao Li, Yongcheng Deng, Wenkai Zhu, Kaiming Cai, Kaiyou Wang
https://arxiv.org/abs/2506.07608

Orbital Hall Effect Enables Field-Free Magnetization Reversal in Ferrimagnets without Additional Conversion Layer
The spin Hall effect (SHE) enables efficient electrical manipulation of magnetization through the spin Hall current \left(\mathbit{J}_{\mathbit{SHE}}\right), advancing energy-efficient spintronics. In parallel, the orbital Hall effect (OHE) offers an alternative pathway to SHE for converting charge current into an angular momentum flow. In this study, we demonstrate field-free current-induced perpendicular ferrimagnetic deterministic switching within a Mo/CoGd device without an additional orbit…

This https://arxiv.org/abs/2506.03940 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

Depermissioning Web3: a Permissionless Accountable RPC Protocol for Blockchain Networks
In blockchain networks, so-called "full nodes" serve data to and relay transactions from clients through an RPC interface. This serving layer enables integration of "Web3" data, stored on blockchains, with "Web2" mobile or web applications that cannot directly participate as peers in a blockchain network. In practice, the serving layer is dominated by a small number of centralized services ("node providers") that offer permissioned access to RPC endpoints. Clients register with these providers …

Statistical State Dynamics based study of turbulence in Eady fronts. Part 1. Instability
Eojin Kim, Brian F. Farrell
https://arxiv.org/abs/2506.11993 https…

Statistical State Dynamics based study of turbulence in Eady fronts. Part 1. Instability
The streamwise roll and streak structure (RSS) is prominent in observations of the planetary boundary layer in the atmosphere and ocean and in unstratified wall-bounded shear flows. Although the RSS in these systems is structurally similar, the mechanism forming and maintaining the RSS in both remains controversial. This study demonstrates that the same turbulence-sustaining mechanism identified to underlie the RSS in the Statistical State Dynamics (SSD) formulation of unstratified wall-bounded…

This https://arxiv.org/abs/2506.01402 has been replaced.
initial toot: https://mastoxiv.page/@a…

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
We propose ferroelectric layer sliding as a new approach to realize and manipulate topological quantum states in two-dimensional (2D) bilayer magnetic van der Waals materials. We show that stacking monolayer ferromagnetic topological states into layer-spin-locked bilayer antiferromagnetic structures, and introducing sliding ferroelectricity leads to asynchronous topological evolution of different layers (spins) owing to existence of polarization potentials, thereby giving rise to rich layer-res…

Direct determination of layer anomalous Hall conductivity using uniaxial Wannier functions
Yume Morishima, Fumiyuki Ishii, Naoya Yamaguchi
https://arxiv.org/abs/2506.01160

Direct determination of layer anomalous Hall conductivity using uniaxial Wannier functions
We propose a method for computing layer anomalous Hall conductivity (LAHC) in real space by integrating the Fukui-Hatsugai-Suzuki method with hybrid Wannier functions localized along a single axis. To validate the method, we calculated the LAHC of axion-insulating MnBi$_2$Te$_4$ and confirmed the agreement between the sum of LAHC on the surface and the surface AHC previously reported. We further applied the method to antiferromagnetic Mn$_2$Bi$_2$Te$_5$ and examined the dependence on the magnet…

So, I climbed to the top of the pyramid of pain -- now what?
Vasilis Katos, Emily Rosenorn-Lanng, Jane Henriksen-Bulmer, Ala Yankouskaya
https://arxiv.org/abs/2505.24685

So, I climbed to the top of the pyramid of pain -- now what?
This paper explores the evolving dynamics of cybersecurity in the age of advanced AI, from the perspective of the introduced Human Layer Kill Chain framework. As traditional attack models like Lockheed Martin's Cyber Kill Chain become inadequate in addressing human vulnerabilities exploited by modern adversaries, the Humal Layer Kill Chain offers a nuanced approach that integrates human psychology and behaviour into the analysis of cyber threats. We detail the eight stages of the Human Layer Ki…

Enhanced zeta potentials caused by surface ion mobilities
Evgeny S. Asmolov, Elena F. Silkina, Olga I. Vinogradova
https://arxiv.org/abs/2506.02915 https:/…

Enhanced zeta potentials caused by surface ion mobilities
The electro-hydrodynamics near conducting walls is revisited. Attention is focused on the impact of an explicit diffuse Stern layer, which permittivity and viscosity differ from the bulk values, on the velocity of an electro-osmotic plug flow. To solve this problem we propose an approach of mapping the flow in the Stern layer to the surface dividing the Stern and diffuse layer, where an effective electro-hydrodynamic slip boundary condition is imposed. The latter implies that an effective surfa…

This https://arxiv.org/abs/2412.17457 has been replaced.
initial toot: https://mastoxiv.page/@a…

Optical Properties and Spin States of Inter-layer Carbon Defect Pairs in Hexagonal Boron Nitride: A First-Principles Study
Substitutional carbon defects in hexagonal boron nitride (hBN) are prominent single photon emitters (SPEs), and their potential for spin activity ($S\geq1$) is particularly intriguing. While studies have largely focused on intra-layer defects, we employ density functional theory (DFT) to investigate inter-layer dimers of identical carbon species (C$_X$C$_X$). We demonstrate that these C$_X$C$_X$ pairs can exhibit a stable triplet spin state at room temperature when closely spaced (e.g., within …

Commitment Schemes for Multi-Party Computation
Ioan Ionescu, Ruxandra F. Olimid
https://arxiv.org/abs/2506.10721 https://arxiv.org/pd…

Commitment Schemes for Multi-Party Computation
The paper presents an analysis of Commitment Schemes (CSs) used in Multi-Party Computation (MPC) protocols. While the individual properties of CSs and the guarantees offered by MPC have been widely studied in isolation, their interrelation in concrete protocols and applications remains mostly underexplored. This paper presents the relation between the two, with an emphasis on (security) properties and their impact on the upper layer MPC. In particular, we investigate how different types of CSs …

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
Ning-Jing Yang, Jian-Min Zhang, Xiao-Ping Li, Zeying Zhang, Zhi-Ming Yu, Zhigao Huang, Yugui Yao
https://arxiv.org/abs/2506.01402

Sliding Ferroelectrics Induced Hybrid-Order Topological Phase Transitions
We propose ferroelectric layer sliding as a new approach to realize and manipulate topological quantum states in two-dimensional (2D) bilayer magnetic van der Waals materials. We show that stacking monolayer ferromagnetic topological states into layer-spin-locked bilayer antiferromagnetic structures, and introducing sliding ferroelectricity leads to asynchronous topological evolution of different layers (spins) owing to existence of polarization potentials, thereby giving rise to rich layer-res…

Pressure-Driven Metallicity in {\AA}ngstr\"om-Thickness 2D Bismuth and Layer-Selective Ohmic Contact to MoS2
Shuhua Wang, Shibo Fang, Qiang Li, Yunliang Yue, Zongmeng Yang, Xiaotian Sun, Jing Lu, Chit Siong Lau, L. K. Ang, Lain-Jong Li, Yee Sin Ang
https://arxiv.org/abs/2506.05133

Pressure-Driven Metallicity in Ångström-Thickness 2D Bismuth and Layer-Selective Ohmic Contact to MoS2
Recent fabrication of two-dimensional (2D) metallic bismuth (Bi) via van der Waals (vdW) squeezing method opens a new avenue to ultrascaling metallic materials into the ångström-thickness regime [Nature 639, 354 (2025)]. However, freestanding 2D Bi is typically known to exhibit a semiconducting phase [Nature 617, 67 (2023), Phys. Rev. Lett. 131, 236801 (2023)], which contradicts with the experimentally observed metallicity in vdW-squeezed 2D Bi. Here we show that such discrepancy originates f…

This https://arxiv.org/abs/2505.17212 has been replaced.
initial toot: https://mastoxiv.page/@a…

Engineering Altermagnetism via Layer Shifts and Spin Order in Bilayer MnPS$_3$
We investigate how stacking configuration and magnetic ordering determine the magnetic phases of bilayer MnPS$_3$, using density-functional theory and spin-Laue symmetry analysis. While monolayer MnPS$_3$ is a collinear antiferromagnet with no spin splitting, our calculations show that the bilayer can host either Type II (AFM) or Type III (altermagnetic) phases depending sensitively on stacking and spin alignment. We focus on two representative stackings: AA, where the top layer sits directly a…