Tootfinder

Poseidon, an AI-focused decentralized data layer built on the Story protocol, raised a $15M seed led by a16z (Daniel Kuhn/The Block)
https://www.theblock.co/post/363702/a16z-leads-15-million-seed-roun…

I’m really wondering what will happen to my field when the old programmers are all gone or have been fired, all those people who have a shit about the craft.
When designing software has been replaced by vibe coding and endless layer cakes of bullshit.
I feel like that time is closer than most people think.

remember cool cool winter? yeah me either
#photography #mosstodon #lichenSubscribe

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…

Join Andrew Musselman and Trevor Grant as they present the latest developments in Mahout's new quantum compute layer, Qumat. They will provide an overview of the project, explain why Qumat was developed, and demonstrate its current capabilities. They will also present a demo of Qumat in action and conclude with calls to action for researchers and engineers who are interested in using and contributing to the project.
Learn more:

Solar Cycle Variations in Meridional Flows and Rotational Shear within the Sun's Near-surface Shear Layer: #solar rotation: https://www.nature.com/articles/d44151-025-00101-6 - scientists uncover how deep plasma flows reshape the Sun’s rotation and hint at mysteries below its surface.

Vibrational properties of epitaxial graphene buffer layer on silicon carbide
Guillaume Radtke (IMPMC), Michele Lazzeri (IMPMC)
https://arxiv.org/abs/2506.16166

Vibrational properties of epitaxial graphene buffer layer on silicon carbide
The vibrational properties of semiconducting graphene buffer layer epitaxially grown on hexagonal silicon carbide are determined using first-principles calculations on a realistic structural model. Despite the important chemical and structural disorder associated with the partial covalent bonding with the substrate, the buffer-layer carbon atoms still display quasidispersive phonons mimicking those of graphene. The related frequency softening and broadening provide a natural interpretation of t…

Physical-Layer Signal Injection Attacks on EV Charging Ports: Bypassing Authentication via Electrical-Level Exploits
Hetian Shi, Yi He, Shangru Song, Jianwei Zhuge, Jian Mao
https://arxiv.org/abs/2506.16400

Physical-Layer Signal Injection Attacks on EV Charging Ports: Bypassing Authentication via Electrical-Level Exploits
The proliferation of electric vehicles in recent years has significantly expanded the charging infrastructure while introducing new security risks to both vehicles and chargers. In this paper, we investigate the security of major charging protocols such as SAE J1772, CCS, IEC 61851, GB/T 20234, and NACS, uncovering new physical signal spoofing attacks in their authentication mechanisms. By inserting a compact malicious device into the charger connector, attackers can inject fraudulent signals t…

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer
Go Nishikawa, Wataru Nakata, Yuki Saito, Kanami Imamura, Hiroshi Saruwatari, Tomohiko Nakamura
https://arxiv.org/abs/2507.14647

Multi-Sampling-Frequency Naturalness MOS Prediction Using Self-Supervised Learning Model with Sampling-Frequency-Independent Layer
We introduce our submission to the AudioMOS Challenge (AMC) 2025 Track 3: mean opinion score (MOS) prediction for speech with multiple sampling frequencies (SFs). Our submitted model integrates an SF-independent (SFI) convolutional layer into a self-supervised learning (SSL) model to achieve SFI speech feature extraction for MOS prediction. We present some strategies to improve the MOS prediction performance of our model: distilling knowledge from a pretrained non-SFI-SSL model and pretraining …

Classical theory of electron-ion correlations at electrochemical interfaces: Closing the circuit from double-layer charging to ion adsorption
Nils Bruch, Michael Eikerling, Tobias Binninger
https://arxiv.org/abs/2507.14751

Classical theory of electron-ion correlations at electrochemical interfaces: Closing the circuit from double-layer charging to ion adsorption
The electric double layer (EDL) that forms at the interface between metals and ionic solutions is at the heart of various energy technologies. Recent experimental data have challenged our traditional understanding of the EDL charging behavior, which is based on mean-field Gouy-Chapman-Stern-type (GCS) models. In this article, we present a classical theory for the EDL, derived from first-principles statistical mechanics, that accounts for electron-ion correlation effects using the method of imag…

A Taylor swimming sheet under a finite Brinkman layer
Tasawar Iqbal, Catherine Penington, Christian Thomas, Lyndon Koens
https://arxiv.org/abs/2507.16125 h…

A Taylor swimming sheet under a finite Brinkman layer
An asymptotic approach is employed to study the swimming speed of a two-dimensional Taylor swimming sheet beneath a Brinkman layer of finite thickness. This configuration is representative of a swimmer confined within a porous non-Newtonian boundary and could model microscopic filter feeders like choanoflagellates and sponges or the mucociliary escalator in the lungs. When ignoring the effects of jump stress and porosity, the swimming speed of the sheet decreases as the thickness and lower boun…

Defect Engineered Layer Dependent Nonlinear Optical Response in Two Dimensional Muscovite for Efficient Optical Limiting
Dipanwita Mitra, Guilherme S. L. Fabris, Raphael Benjamim, Mateus M. Ferrer, Marcelo Lopes Pereira Junior, Riya Sadhukhan, Dipak Kumar Goswami, Gelu Costin, Douglas S. Galv\~ao, Chandra Sekhar Tiwary, Prasanta Kumar Dattaa
https://…

Defect Engineered Layer Dependent Nonlinear Optical Response in Two Dimensional Muscovite for Efficient Optical Limiting
Light-matter interactions in two-dimensional (2D) materials have gained significant interest due to their distinctive optical and electronic properties. Recently, silicates have emerged as a promising new class of 2D materials, but their nonlinear optical properties remain largely unexplored. In this study, we demonstrate layer-dependent nonlinear absorption and optical limiting capabilities of 2D muscovite using femtosecond laser excitation at 450 nm. The two-photon absorption (TPA) coefficien…

Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
Lucas de Lara (IECL)
https://arxiv.org/abs/2507.16370

Canonical Representations of Markovian Structural Causal Models: A Framework for Counterfactual Reasoning
Counterfactual reasoning aims at answering contrary-to-fact questions like ''Would have Alice recovered had she taken aspirin?'' and corresponds to the most fine-grained layer of causation. Critically, while many counterfactual statements cannot be falsified -- even by randomized experiments -- they underpin fundamental concepts like individual-wise fairness. Therefore, providing models to formalize and implement counterfactual beliefs remains a fundamental scientific problem. In the Markovian …

Collusion-Resilient Hierarchical Secure Aggregation with Heterogeneous Security Constraints
Zhou Li, Xiang Zhang, Jiawen Lv, Jihao Fan, Haiqiang Chen, Giuseppe Caire
https://arxiv.org/abs/2507.14768

Collusion-Resilient Hierarchical Secure Aggregation with Heterogeneous Security Constraints
Motivated by federated learning (FL), secure aggregation (SA) aims to securely compute, as efficiently as possible, the sum of a set of inputs distributed across many users. To understand the impact of network topology, hierarchical secure aggregation (HSA) investigated the communication and secret key generation efficiency in a 3-layer relay network, where clusters of users are connected to the aggregation server through an intermediate layer of relays. Due to the pre-aggregation of the messag…

GAP-LA: GPU-Accelerated Performance-Driven Layer Assignment
Chunyuan Zhao, Zizheng Guo, Zuodong Zhang, Yibo Lin
https://arxiv.org/abs/2507.13375 https://…

GAP-LA: GPU-Accelerated Performance-Driven Layer Assignment
Layer assignment is critical for global routing of VLSI circuits. It converts 2D routing paths into 3D routing solutions by determining the proper metal layer for each routing segments to minimize congestion and via count. As different layers have different unit resistance and capacitance, layer assignment also has significant impacts to timing and power. With growing design complexity, it becomes increasingly challenging to simultaneously optimize timing, power, and congestion efficiently. Exi…

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Bohan Yang, Gang Liu, Rirao Dao, Yujia Qian, Ke Shi, Anke Tang, Yong Luo, Jingnan Liu
https://arxiv.org/abs/2506.15803

Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma
Objective. Proton arc therapy (PAT) is an emerging and promising modality in radiotherapy, offering several advantages over conventional intensitymodulated proton therapy (IMPT). However, identifying the optimal energy layer (EL) sequence remains computationally intensive due to the large number of possible energy layer transitions. This study proposes an unsupervised deep learning framework for fast and effective EL pre-selection, aiming to minimize energy layer switch time while preserving hi…

Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
Aijing Kong, Chengkai Xu, Xian Wu, Xinbo Chen, Peng Hang
https://arxiv.org/abs/2506.16311

Towards Emergency Scenarios: An Integrated Decision-making Framework of Multi-lane Platoon Reorganization
To enhance the ability for vehicle platoons to respond to emergency scenarios, a platoon distribution reorganization decision-making framework is proposed. This framework contains platoon distribution layer, vehicle cooperative decision-making layer and vehicle planning and control layer. Firstly, a reinforcement-learning-based platoon distribution model is presented, where a risk potential field is established to quantitatively assess driving risks, and a reward function tailored to the platoo…

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Gautam Siddharth Kashyap, Md Tabrez Nafis, Samar Wazir
https://arxiv.org/abs/2506.15737

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Training Artificial Neural Networks (ANNs) with Stochastic Gradient Descent (SGD) frequently encounters difficulties, including substantial computing expense and the risk of converging to local optima, attributable to its dependence on partial weight gradients. Therefore, this work investigates Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) - two population-based Metaheuristic Optimizers (MHOs) - as alternatives to SGD to mitigate these constraints. A hybrid PSO-SGD strategy is …

Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
Thai T. Vu, John Le
https://arxiv.org/abs/2507.15145 https:/…

Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
This paper proposes a communication-efficient, event-triggered inference framework for cooperative edge AI systems comprising multiple user devices and edge servers. Building upon dual-threshold early-exit strategies for rare-event detection, the proposed approach extends classical single-device inference to a distributed, multi-device setting while incorporating proportional fairness constraints across users. A joint optimization framework is formulated to maximize classification utility under…

#ENISA #Publication May 2025
Handbook for Cyber Stress Tests
site:
https://enisa.eur…

Why use hyperlinking if you can create videos recording screens recording screens, just to be able to document other people documenting your own work. The modern internet is just sooo amazing!
#Actiniaria #GenerativeArt

Layer-selective Cooper pairing in an alternately stacked transition metal dichalcogenide
Haojie Guo, Sandra Sajan, Iri\'an S\'anchez-Ram\'irez, Tarushi Agarwal, Alejandro Blanco Peces, Chandan Patra, Maia G. Vergniory, Rafael M. Fernandes, Ravi Prakash Singh, Fernando de Juan, Maria N. Gastiasoro, Miguel M. Ugeda
https://

Layer-selective Cooper pairing in an alternately stacked transition metal dichalcogenide
Multigap superconductivity emerges when superconducting gaps form on distinct Fermi surfaces. Arising from locally overlapping atomic orbitals, multiple superconducting bands introduce a new internal degree of freedom in the material that, however, escapes external control due to their coexistence in real space in the known multigap superconductors. Here, we show that the layered superconductor 4Hb-TaSSe - composed of alternating trigonal (H) and octahedral (T) polymorph layers - is a multigap …

Stoner Transition at Finite Temperature in a 2D Isotropic Fermi Liquid
R. David Mayrhofer, Megan Schoenzeit, Andrey V. Chubukov
https://arxiv.org/abs/2507.16026

Stoner Transition at Finite Temperature in a 2D Isotropic Fermi Liquid
We present the results of a mean-field analysis of the temperature evolution of a ferromagnetic Stoner transition in a two-dimensional (2D) system with an isotropic dispersion $\varepsilon_k \propto k^{2α}$, which for $α>1$ models flat dispersions in various multi-layer graphene systems in a displacement field. This study is an extension to a finite $T$ of previous studies at $T=0$, which found both first-order and second-order Stoner transitions, depending on the value of $α$ and special be…

Movable-Element STARS-Aided Secure Communications
Jingjing Zhao, Qian Xu, Kaiquan Cai, Yanbo Zhu, Xidong Mu, Yuanwei Liu
https://arxiv.org/abs/2507.14804 h…

Movable-Element STARS-Aided Secure Communications
A novel movable-element (ME) enabled simultaneously transmitting and reflecting surface (ME-STARS)-aided secure communication system is investigated. Against the full-space eavesdropping, MEs are deployed at the STARS for enhancing the physical layer security by exploiting higher spatial degrees of freedom. Specifically, a sum secrecy rate maximization problem is formulated, which jointly optimizes the passive beamforming and the MEs positions at the ME-STARS, as well as the active beamforming …

Trimer superfluidity of antiparallel dipolar excitons in a bilayer heterostructure
Pradyumna P. Belgaonkar, Michal Zimmerman, Snir Gazit, Dror Orgad
https://arxiv.org/abs/2507.15938

Trimer superfluidity of antiparallel dipolar excitons in a bilayer heterostructure
We study the phase diagram of a bilayer of antiparallel dipolar excitons with a 1:2 density ratio between the layers, as a function of temperature and density. Using quantum Monte Carlo simulations, we show that such a system supports the formation of trimers, namely, three-exciton bound states consisting of a single dipole in one layer and two dipoles in the second layer. At sufficiently low temperatures and densities, these trimers condense into a trimer superfluid phase. Increasing the excit…

Early Emission from Double Detonation Type Ia Supernovae
Anthony L. Piro, Ehud Nakar
https://arxiv.org/abs/2507.14290 https://arxiv.o…

Early Emission from Double Detonation Type Ia Supernovae
A popular model for Type Ia supernovae (SNe Ia) is the detonation of a CO white dwarf (WD) that is triggered by the prior detonation of a thin surface layer of helium, known as a double detonation (DD). We explore the unique early electromagnetic signatures that are expected from collision of the CO detonation with the He detonation. The three features are (1) a shock breakout flash, (2) a stage of planar shock breakout cooling, and finally (3) shock cooling emission from the thermal energy rel…

Molecular Dynamics Simulations of Nanoscale Friction on Illite Clay: Effects of Solvent Salt Ions and Electric Double Layer
Ge Li, Astrid S. de Wijn
https://arxiv.org/abs/2507.14158

Molecular Dynamics Simulations of Nanoscale Friction on Illite Clay: Effects of Solvent Salt Ions and Electric Double Layer
Quick clay is a highly sensitive soil that transforms rapidly from solid to liquid under minor stress, as a result of long-term salt leaching that drastically reduces shear strength. Stabilizing it is both costly and carbon-intensive, significantly impacting construction emissions in regions like Norway. Developing greener stabilization methods is challenging due to limited understanding of the weakening mechanisms and the specific roles of different salts. In this study, we use molecular dynam…

Thin active nematohydrodynamic layers: asymptotic theories and instabilities
Mehrana R. Nejad
https://arxiv.org/abs/2506.16523 https://

Thin active nematohydrodynamic layers: asymptotic theories and instabilities
Starting from a three-dimensional description of an active nematic layer, we employ an asymptotic theory to derive a series of low-dimensional continuum models that capture the coupled dynamics of flat and curved films, including variations in film thickness, shape deformations, internal velocity fields, and the dynamics of orientational order. Using this asymptotic theory, we investigate instabilities driven by activity in both the nematic and isotropic phases for cylindrical and flat films.…

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Narayan Kandel, Daljit Singh J. S. Dhillon
https://arxiv.org/abs/2506.15815 https://

GratNet: A Photorealistic Neural Shader for Diffractive Surfaces
Structural coloration is commonly modeled using wave optics for reliable and photorealistic rendering of natural, quasi-periodic and complex nanostructures. Such models often rely on dense, preliminary or preprocessed data to accurately capture the nuanced variations in diffractive surface reflectances. This heavy data dependency warrants implicit neural representation which has not been addressed comprehensively in the current literature. In this paper, we present a multi-layer perceptron (MLP…

Fully atomic layer deposited transparent carrier selective contacts for bifacial Cd-free Cu2ZnSnSe4 thin-film solar cells
Rosa Almache-Hern\'andeza, Gerard Masmitj\`a, Benjam\'in Pusay, Eloi Ros, Kunal J. Tiwari, Pedro Vidal-Fuentes, Victor Izquierdo-Roca, Edgardo Saucedo, Crist\'obal Voz, Joaquim Puigdollers, Pablo Ortega
https://…

Fully atomic layer deposited transparent carrier selective contacts for bifacial Cd-free Cu2ZnSnSe4 thin-film solar cells
Thin-film solar cells based on kesterite (Cu2ZnSnSe4) material are a promising alternative for photovoltaic devices due to their composition consisting of earth abundant elements, ease of production at a relatively low temperatures and excellent optical absorption properties. Additionally, this absorber compound allows a tuneable bandgap energy in the 1 to 1.5 eV window range, which makes it an attractive candidate either as a top or a bottom solar cell in tandem technologies combined with tran…

Depth Gives a False Sense of Privacy: LLM Internal States Inversion
Tian Dong, Yan Meng, Shaofeng Li, Guoxing Chen, Zhen Liu, Haojin Zhu
https://arxiv.org/abs/2507.16372

Depth Gives a False Sense of Privacy: LLM Internal States Inversion
Large Language Models (LLMs) are increasingly integrated into daily routines, yet they raise significant privacy and safety concerns. Recent research proposes collaborative inference, which outsources the early-layer inference to ensure data locality, and introduces model safety auditing based on inner neuron patterns. Both techniques expose the LLM's Internal States (ISs), which are traditionally considered irreversible to inputs due to optimization challenges and the highly abstract represent…

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.

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…

Enhanced Absorption in Thin-Film Silicon Solar Cells Using a Broadband Plasmonic Nanostructure
Partha Mondal, Omar Alkhazragi, Hakan Bagci
https://arxiv.org/abs/2506.16118

Enhanced Absorption in Thin-Film Silicon Solar Cells Using a Broadband Plasmonic Nanostructure
The design and fabrication of a metal-dielectric-metal absorber that achieves strong absorption from the ultraviolet (UV) to the near-infrared (near-IR) spectrum are presented. The proposed nanostructure consists of a periodic titanium (Ti) array as the top layer, a thin silicon dioxide (SiO2) spacer, and a continuous aluminum (Al) layer serving as the back reflector. Comprehensive optimization of structural parameters results in an average absorptance of 96% in the 280-1000 nm wavelength range…

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…

🇺🇦 #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

HetGPU: The pursuit of making binary compatibility towards GPUs
Yiwei Yang, Yusheng Zheng, Tong Yu, Andi Quinn
https://arxiv.org/abs/2506.15993 https://

HetGPU: The pursuit of making binary compatibility towards GPUs
Heterogeneous GPU infrastructures present a binary compatibility challenge: code compiled for one vendor's GPU will not run on another due to divergent instruction sets, execution models, and driver stacks . We propose hetGPU, a new system comprising a compiler, runtime, and abstraction layer that together enable a single GPU binary to execute on NVIDIA, AMD, Intel, and Tenstorrent hardware. The hetGPU compiler emits an architecture-agnostic GPU intermediate representation (IR) and inserts meta…

„“I think [Bluesky CEO] Jay [Graber] is great. I think the team is great,” Dorsey told Henshaw-Plath, “but the structure is what I disagree with…I want to push the energy in a different direction, which is more like Bitcoin, which is completely open and not owned by anyone from a protocol layer.“
Jack Dorsey pumps $10 million into a nonprofit focused on open-source social media | TechCrunch

Now out in #TMLR:
🍇 GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks 🍇
There's lots of work on sampling subgraphs for GNNs, but relatively little on making this sampling process _adaptive_. That is, learning to select the data from the graph that is relevant for your task.
We introduce an RL-based and a GFLowNet-based sampler and show that the approach perf…

Statistical state dynamics based study of turbulent Eady fronts. Part 2. Finite amplitude equilibria
Eojin Kim, Brian F. Farrell
https://arxiv.org/abs/2507.15134

Statistical state dynamics based study of turbulent Eady fronts. Part 2. Finite amplitude equilibria
Streamwise roll circulations commonly observed in frontal regions are primary agents of momentum and tracer transport in the planetary boundary layer (PBL) both in the atmosphere and ocean. Traditionally, the formation of the streamwise roll/streak structure (RSS) has been ascribed to symmetric instability (SI). In part 1, we studied RSS formation in the classical Eady front problem using statistical state dynamics (SSD), which allows incorporating the Reynolds stress (RS) torque instability me…

A new Surrogate Microstructure Generator for Porous Materials with Applications to the Buffer Layer of TRISO Nuclear Fuel Particles
Philipp Eisenhardt, Ustim Khristenko, Barbara Wohlmuth, Andrei Constantinescu
https://arxiv.org/abs/2506.15874

A new Surrogate Microstructure Generator for Porous Materials with Applications to the Buffer Layer of TRISO Nuclear Fuel Particles
We present a surrogate material model for generating microstructure samples reproducing the morphology of the real material. The generator is based on Gaussian random fields, with a Matérn kernel and a topological support field defined through ellipsoidal inclusions clustered by a random walk algorithm. We identify the surrogate model parameters by minimizing misfits in a list of statistical and geometrical descriptors of the material microstructure. To demonstrate the effectiveness of the met…

Fractal Social Dynamics as a Driver of Consensus and Inequality
Airton Deppman
https://arxiv.org/abs/2507.13849 https://arxiv.org/pdf…

Fractal Social Dynamics as a Driver of Consensus and Inequality
Human social behavior is organized in stratified, hierarchical networks, with a support group with about 5 members, expanding proportionally at each layer up to a maximum of approximately 150 frequent interactions per individual. This is known as Social Brain Hypothesis, and its findings are supported by psychological and neurological evidence. The fractal network framework provides valuable insights into social phenomena such as the spread of fake news and the development of technology. This s…

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

A review of perfect quantum state transfer, from one to two and three dimensional arrays of qubits
Marzieh Asoudeh, Vahid Karimipour
https://arxiv.org/abs/2507.11016

A review of perfect quantum state transfer, from one to two and three dimensional arrays of qubits
In the light of recent advances in fabricating single layer quantum chips and a possible road toward development of multi-layer quantum chips, we review, in a detailed way, the subject of quantum state transfer with particular emphasis on perfect quantum state transfer in two and three dimensional lattices. We show how one can route an unknown quantum state from one node in a single layer of a quantum chip to another one on another layer with unit fidelity. Our method of presentation in this …

The effect of fiber plasticity on domain formation in soft biological composites -- Part II: An imperfection analysis
Dimitris Iordanidis, Fernanda F. Fontenele, Konstantinos Poulios, Michalis Agoras, Nikolaos Bouklas
https://arxiv.org/abs/2507.14764

The effect of fiber plasticity on domain formation in soft biological composites -- Part II: An imperfection analysis
The main objective of this work is to numerically investigate the effect of geometric imperfections on the macroscopic response and domain formation in soft biological composites that exhibit plasticity in the stiff (fiber) phase.This work builds on the corresponding bifurcation analysis in Part I of this study for simple laminates with perfectly flat layers under plane strain, nonmonotonic loading conditions, aligned with the layer direction. The post-bifurcation solution obtained in Part I fo…

Back at it with the #poolpond this morning!
Finished placing the 4-12" stones in the bottom of the filter up to just above the milk crates. Also became a little worried about proper distribution of inflow water so I added a fourth milk crate to expand the void space.
Next layer will be 15-30cm of 1" drain rock.
Getting there!
#backyardProject #pond #water #wetland

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…

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…

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

Scalable Chrysopoeia via $(n, 2n)$ Reactions Driven by Deuterium-Tritium Fusion Neutrons
Adam Rutkowski, Jake Harter, Jason Parisi
https://arxiv.org/abs/2507.13461

Scalable Chrysopoeia via $(n, 2n)$ Reactions Driven by Deuterium-Tritium Fusion Neutrons
A scalable approach for chrysopoeia -- the transmutation of base metals into gold -- has been pursued for millennia. While there have been small-scale demonstrations in particle accelerators and proposals involving thermal neutron capture, no economically attractive approach has yet been identified. We show a new scalable method to synthesize stable gold (\ce{^{197}Au}) from the abundant mercury isotope $\mathrm{^{198}Hg}$ using $(n, 2n)$ reactions in a specialized neutron multiplier layer of a…

Vor genau 30 Jahren wurde ein kleines Stück Technikgeschichte geschrieben, das unseren Musikkonsum für immer verändern sollte! Am 14. Juli 1995 legten die Forscher am Fraunhofer-Institut die Dateiendung ".mp3" fest. 🎧
Zum Artikel: https://heise.de/-1…

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…

Lifshitz Quantum Mechanics and Anisotropic Josephson Junction
Chong-Sun Chu, Alfian Gunawan
https://arxiv.org/abs/2507.14996 https://…

Lifshitz Quantum Mechanics and Anisotropic Josephson Junction
We consider quantum mechanics in spacetime with time anisotropy. Such Lifshitz quantum mechanics is characterized by a kinetic term with fractional derivatives. We show that, contrary to popular belief, local conservation of probability is respected when the probability current is properly identified. As an application we consider a Josephson Junction with an anisotropic insulating layer. We show that anisotropy affects the tunneling rate and can greatly enhance the working of Josephson Junctio…

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
https://arxiv.org/abs/2507.14651

Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge
Hybrid vision transformers combine the elements of conventional neural networks (NN) and vision transformers (ViT) to enable lightweight and accurate detection. However, several challenges remain for their efficient deployment on resource-constrained edge devices. The hybrid models suffer from a widely diverse set of NN layer types and large intermediate data tensors, hampering efficient hardware acceleration. To enable their execution at the edge, this paper proposes innovations across the har…

“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)

Role of hydrogen dynamics and deposition conditions in photochromic YHO/MoO$_3$ bilayer films
Edvards Strods, Martins Zubkins, Viktors Vibornijs, Dmitrii Moldarev, Anatolijs Sarakovskis, Karlis Kundzins, Emija Letko, Daniel Primetzhofer, Juris Purans
https://arxiv.org/abs/2506.16946

Role of hydrogen dynamics and deposition conditions in photochromic YHO/MoO$_3$ bilayer films
Oxygen-containing yttrium hydride (YHO) and molybdenum trioxide (MoO$_3$) bilayer films (YHO/MoO$_3$) are produced using reactive magnetron sputtering, and their photochromic properties are investigated in relation to the thickness and density of the MoO$_3$ layer. Compared to single YHO films, the YHO/MoO$_3$ films exhibit faster coloration and larger contrast, with both parameters adjustable by varying the thickness or deposition pressure of the MoO$_3$ layer. Transparent YHO/MoO$_3$ films (~…

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis
Zhen-Qi Chen, Yuan-Fu Yang
https://arxiv.org/abs/2507.13388 https://

DLSF: Dual-Layer Synergistic Fusion for High-Fidelity Image Syn-thesis
With the rapid advancement of diffusion-based generative models, Stable Diffusion (SD) has emerged as a state-of-the-art framework for high-fidelity im-age synthesis. However, existing SD models suffer from suboptimal feature aggregation, leading to in-complete semantic alignment and loss of fine-grained details, especially in highly textured and complex scenes. To address these limitations, we propose a novel dual-latent integration framework that en-hances feature interactions between the bas…

Erosion studies from our morning hike yesterday, a ~500m long section of the valley exposing interesting structures and the fragility of life resting on the thin layer of top soil...
#Geology #Erosion #NaturePhotography

@… @… sorry I was OOO last week! the service does run on vercel but I have added a amazon cloudfront caching layer in front of it to reduce vercel usage, which was necessary for reasons described here:

Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank
Tao Tang, Jiang Yang, Yuxiang Zhao, Quanhui Zhu
https://arxiv.org/abs/2507.11962

Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank
Training deep neural networks for scientific computing remains computationally expensive due to the slow formation of diverse feature representations in early training stages. Recent studies identify a staircase phenomenon in training dynamics, where loss decreases are closely correlated with increases in $\varepsilon$-rank, reflecting the effective number of linearly independent neuron functions. Motivated by this observation, this work proposes a structured first-layer initialization (SFLI) p…

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…

Giant Resonance Raman Scattering via Anisotropic Excitons in ReS2
Pritam Das, Devarshi Chakrabarty, Neha Gill, Sajal Dhara
https://arxiv.org/abs/2507.15327

Giant Resonance Raman Scattering via Anisotropic Excitons in ReS2
Anisotropic two-dimensional (2D) semiconductors recently have emerged as a promising platform for polarization-controlled Raman amplification. In this study, we probe energy-dependent resonant Raman scattering in few layer ReS2 under different polarization configurations. We identify two distinct excitation regimes, each characterized by a resonance condition where either the pump or the Stokes photon energy aligns with an excitonic transition. A two-order-of-magnitude enhancement in Raman inte…

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

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
Krishnakumar Balasubramanian, Nathan Ross
https://arxiv.org/abs/2507.12686

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
We study the Finite-Dimensional Distributions (FDDs) of deep neural networks with randomly initialized weights that have finite-order moments. Specifically, we establish Gaussian approximation bounds in the Wasserstein-$1$ norm between the FDDs and their Gaussian limit assuming a Lipschitz activation function and allowing the layer widths to grow to infinity at arbitrary relative rates. In the special case where all widths are proportional to a common scale parameter $n$ and there are $L-1$ hid…

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…

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.

Fast and Interactive Byzantine Fault-tolerant Web Services via Session-Based Consensus Decoupling
Ahmad Zaki Akmal, Azkario Rizky Pratama, Guntur Dharma Putra
https://arxiv.org/abs/2507.08281

Fast and Interactive Byzantine Fault-tolerant Web Services via Session-Based Consensus Decoupling
Byzantine fault-tolerant (BFT) web services provide critical integrity guarantees for distributed applications but face significant latency challenges that hinder interactive user experiences. We propose a novel two-layer architecture that addresses this fundamental tension between security and responsiveness in BFT systems. Our approach introduces a session-aware transaction buffer layer (Layer 2) that delivers immediate feedback to users through consensus simulation, while periodically commit…

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
Xinyu Cao, Bimal Adhikari, Shangqing Zhao, Jingxian Wu, Yanjun Pan
https://arxiv.org/abs/2507.14109

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
Radio frequency (RF) fingerprinting, which extracts unique hardware imperfections of radio devices, has emerged as a promising physical-layer device identification mechanism in zero trust architectures and beyond 5G networks. In particular, deep learning (DL) methods have demonstrated state-of-the-art performance in this domain. However, existing approaches have primarily focused on enhancing system robustness against temporal and spatial variations in wireless environments, while the security …

'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.

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…

Negative capacitance overcomes Schottky-gate limits in GaN high-electron-mobility transistors
Asir Intisar Khan, Jeong-Kyu Kim, Urmita Sikder, Koushik Das, Thomas Rodriguez, Rohith Soman, Srabanti Chowdhury, Sayeef Salahuddin
https://arxiv.org/abs/2506.16758

Negative capacitance overcomes Schottky-gate limits in GaN high-electron-mobility transistors
For high-electron-mobility transistors based on two-dimensional electron gas (2DEG) within a quantum well, such as those based on AlGaN/GaN heterostructure, a Schottky-gate is used to maximize the amount of charge that can be induced and thereby the current that can be achieved. However, the Schottky-gate also leads to very high leakage current through the gate electrode. Adding a conventional dielectric layer between the nitride layers and gate metal can reduce leakage; but this comes at the p…

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.

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

🇺🇦 #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

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…

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…

I know there’s lots of upsides and downsides to cloud hosting, but I think my biggest problem with it is that it is all built on a mountain of leaky, incomplete, and dysfunctional abstractions.
Even Kubernetes is full of them, which is why we keep getting new layers on top (see KRO, for example).
And the various cloud providers are much worse.
“Just one more layer of abstraction, bro, that’ll fix it!”
The issue with abstractions is that when one is faulty, every layer…

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

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 …

Opus: A Prompt Intention Framework for Complex Workflow Generation
Th\'eo Fagnoni, Mahsun Altin, Chia En Chung, Phillip Kingston, Alan Tuning, Dana O. Mohamed, In\`es Adnani
https://arxiv.org/abs/2507.11288

Opus: A Prompt Intention Framework for Complex Workflow Generation
This paper introduces the Opus Prompt Intention Framework, designed to improve complex Workflow Generation with instruction-tuned Large Language Models (LLMs). We propose an intermediate Intention Capture layer between user queries and Workflow Generation, implementing the Opus Workflow Intention Framework, which consists of extracting Workflow Signals from user queries, interpreting them into structured Workflow Intention objects, and generating Workflows based on these Intentions. Our results…

Plane-layer Rayleigh-B\'enard convection up to $Ra=10^{11}$: Near-wall fluctuations and role of initial conditions
Roshan J. Samuel, J\"org Schumacher
https://arxiv.org/abs/2507.11510

Plane-layer Rayleigh-Bénard convection up to $Ra=10^{11}$: Near-wall fluctuations and role of initial conditions
We study temperature and velocity fluctuations in turbulent Rayleigh-Bénard convection through direct numerical simulations in a three-dimensional plane layer of height $H$ with horizontal periodic boundary conditions and aspect ratio $4H\times 4H\times H$. The analysis is performed for Rayleigh numbers $10^5 \leq Ra \leq 10^{11}$ and Prandtl number $Pr=0.7$. First, the study systematically summarizes the height-dependent statistics of velocity and temperature fluctuations and reports correspo…

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…

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.

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…

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…

MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
Soheil Mahdizadeh, Elyas Oustad, Mohsen Ansari
https://arxiv.org/abs/2507.12028

MOFCO: Mobility- and Migration-Aware Task Offloading in Three-Layer Fog Computing Environments
Task offloading in three-layer fog computing environments presents a critical challenge due to user equipment (UE) mobility, which frequently triggers costly service migrations and degrades overall system performance. This paper addresses this problem by proposing MOFCO, a novel Mobility- and Migration-aware Task Offloading algorithm for Fog Computing environments. The proposed method formulates task offloading and resource allocation as a Mixed-Integer Nonlinear Programming (MINLP) problem and…

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

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…

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…

Quantum Mechanical Approach for Modeling of Ternary Based Strained-Layer Superlattice
Arash Dehzangi, Jiakai Li
https://arxiv.org/abs/2507.12813 https://…

Quantum Mechanical Approach for Modeling of Ternary Based Strained-Layer Superlattice
Ternary-based InAs/InAs1-xSbx Strained-Layer Superlattice (SLS)material with type-II band alignment belongs to the 6.1 A family with reasonably small lattice mismatch with GaSb substrate for epitaxial growth. InAs/InAs1-xSbx SLS have been proven to have more advantages such as longer carrier lifetime, better control on growth and manufacturability, and being considered as an alternative material system for infrared photodetectors. In this article a quantum mechanical based modelling on electron…

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…

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…

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…

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…

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
Haiwei Lin, Shoko Imaizumi, Hitoshi Kiya
https://arxiv.org/abs/2507.11943

Effective Fine-Tuning of Vision Transformers with Low-Rank Adaptation for Privacy-Preserving Image Classification
We propose a low-rank adaptation method for training privacy-preserving vision transformer (ViT) models that efficiently freezes pre-trained ViT model weights. In the proposed method, trainable rank decomposition matrices are injected into each layer of the ViT architecture, and moreover, the patch embedding layer is not frozen, unlike in the case of the conventional low-rank adaptation methods. The proposed method allows us not only to reduce the number of trainable parameters but to also main…

LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents
Zihe Yan, Zhuosheng Zhang
https://arxiv.org/abs/2507.10610 https://

LaSM: Layer-wise Scaling Mechanism for Defending Pop-up Attack on GUI Agents
Graphical user interface (GUI) agents built on multimodal large language models (MLLMs) have recently demonstrated strong decision-making abilities in screen-based interaction tasks. However, they remain highly vulnerable to pop-up-based environmental injection attacks, where malicious visual elements divert model attention and lead to unsafe or incorrect actions. Existing defense methods either require costly retraining or perform poorly under inductive interference. In this work, we systemati…

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 …

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Hong Niu, Yue Xiao, Xia Lei, Jiangong Chen, Zhihan Xiao, Mao Li, Chau Yuen
https://arxiv.org/abs/2507.06500

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends
Due to the broadcast nature of wireless communications, physical-layer security has attracted increasing concerns from both academia and industry. Artificial noise (AN), as one of the promising physical-layer security techniques, is capable of utilizing the spatial degree-of-freedom of channels to effectively enhance the security of wireless communications. In contrast to other physicallayer security techniques, the key distinguishing feature of AN is to generate specific interfering signals ac…

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…