Tootfinder

A supercharged HIV vaccine could offer strong protection with just one injection, a study in mice has indicated.
Developed by researchers from the Massachusetts Institute of Technology (MIT) and the Scripps Research Center, the vaccine includes two "adjuvants"
—materials that help stimulate the immune system response.
In the experiments, the dual-adjuvant vaccine was found to produce a wider diversity of antibodies to protect against an HIV protein than with either s…

HIV: Supercharged Vaccine Could Protect Well With Just One Dose
The approach employed by the research team could be used against other diseases—including COVID-19 and influenza.

This should be the last minirack post for awhile as it's 99.9% finished. It was a very fun build, and it's a heluva-lot quieter than what it replaced. I did lose network bandwidth, but the new cluster does exactly what it's supposed to. Live migrations are fast enough, iSCSI network means that the VMs are snappy storage-wise. The PiKVM Switch fits perfectly in the basement.
The dual fans fixed the issue of the top Minisforum MS-A2 baking from the heat of the RPis, and…

Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
Iyad Walwil, Olivier Fercoq
https://arxiv.org/abs/2506.15597

Primal-Dual Coordinate Descent for Nonconvex-Nonconcave Saddle Point Problems Under the Weak MVI Assumption
We introduce two novel primal-dual algorithms for addressing nonconvex, nonconcave, and nonsmooth saddle point problems characterized by the weak Minty Variational Inequality (MVI). The first algorithm, Nonconvex-Nonconcave Primal-Dual Hybrid Gradient (NC-PDHG), extends the well-known Primal-Dual Hybrid Gradient (PDHG) method to this challenging problem class. The second algorithm, Nonconvex-Nonconcave Stochastic Primal-Dual Hybrid Gradient (NC-SPDHG), incorporates a randomly extrapolated prima…

Error-detected coherence metrology of a dual-rail encoded fixed-frequency multimode superconducting qubit
James Wills, Mohammad Tasnimul Haque, Brian Vlastakis
https://arxiv.org/abs/2506.15420

Error-detected coherence metrology of a dual-rail encoded fixed-frequency multimode superconducting qubit
Amplitude damping is a dominant source of error in high performance quantum processors. A promising approach in quantum error correction is erasure error conversion, where errors are converted into detectable leakage states. Dual-rail encoding has been shown as a candidate for the conversion of amplitude-damping errors; with unique sensitivities to noise and decoherence sources. Here we present a dual-rail encoding within a single fixed-frequency superconducting multimode transmon qubit. The th…

Trump Media and Technology Group files an S-1 with the US SEC to launch a spot Bitcoin and Ethereum ETF, allocating 75% to bitcoin and 25% to ether (Oliver Knight/CoinDesk)
https://www.coindesk.com/business/2025/06/16/d…

Donald Trump's Truth Social Files for Dual BTC and ETH ETF
The move follows registration for a standalone Truth Social bitcoin ETF earlier this month.

DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
Kunal Swami, Debtanu Gupta, Amrit Kumar Muduli, Chirag Jaiswal, Pankaj Kumar Bajpai
https://arxiv.org/abs/2506.14709

DiFuse-Net: RGB and Dual-Pixel Depth Estimation using Window Bi-directional Parallax Attention and Cross-modal Transfer Learning
Depth estimation is crucial for intelligent systems, enabling applications from autonomous navigation to augmented reality. While traditional stereo and active depth sensors have limitations in cost, power, and robustness, dual-pixel (DP) technology, ubiquitous in modern cameras, offers a compelling alternative. This paper introduces DiFuse-Net, a novel modality decoupled network design for disentangled RGB and DP based depth estimation. DiFuse-Net features a window bi-directional parallax atte…

from my link log —
Deploying IPv6-mostly access networks.
https://labs.ripe.net/author/ondrej_caletka_1/deploying-ipv6-mostly-access-networks/
saved 2023-05-07

Deploying IPv6-Mostly Access Networks
Dual stack is the most common way of deploying IPv6 in access networks. A recent standard defines IPv6-mostly access networks, providing IPv4 connectivity only for legacy devices while allowing modern devices to run IPv6-only. It is already well supported and allows network operators to gradually p…

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
Imdad Ullah, Najm Hassan, Tariq Ahamed Ahangar, Zawar Hussain Shah, Mehregan Mahdavi Andrew Levula
https://arxiv.org/abs/2506.13170

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
User profiling is crucial in providing personalised services, as it relies on analysing user behaviour and preferences to deliver targeted services. This approach enhances user experience and promotes heightened engagement. Nevertheless, user profiling also gives rise to noteworthy privacy considerations due to the extensive tracking and monitoring of personal data, potentially leading to surveillance or identity theft. We propose a dual-ring protection mechanism to protect user privacy by exam…

Largest dyadic dual VC-dimension of non-piercing families
Xinqi Huang, Yuzhen Qi, Mingyuan Rong, Zixiang Xu
https://arxiv.org/abs/2506.13606 https://

Largest dyadic dual VC-dimension of non-piercing families
The dyadic dual VC-dimension of a set system \( \mathcal{F} \) is the largest integer \( \ell \) such that there exist \( \ell \) sets \( F_1, F_{2}, \dots, F_\ell \in \mathcal{F} \), where every pair \( \{i, j\} \in \binom{[\ell]}{2} \) is witnessed by an element \( a_{i,j} \in F_i \cap F_j \) that does not belong to any other set \( F_k \) with \( k \in [\ell] \setminus \{i, j\} \). In this paper, we determine the largest dyadic dual VC-dimension of a non-piercing family is exactly $4$, provi…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
https://arxiv.org/abs/2506.…

Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations
While robotic automation has demonstrated remarkable performance, such as executing hundreds of experiments continuously over several days, it is challenging to design a program that synchronizes the robot's movements with the experimental jigs to conduct an experiment. We propose a concept that enables the automation of experiments by utilizing dual demonstrations of robot motions and jig operations by chemists in an experimental environment constructed to be controlled by a robot. To verify t…

Ist verkauft. Nicht mehr boosten, vielen Dank!
Verkaufe einen Raspberry Pi 400 (das "Tastaturmodell") ohne weiteres Zubehör, selten gebraucht, keine Gebrauchsspuren.
Zum Betrieb braucht man ein halbwegs starkes Netzteil mit USB-C-Anschlusskabel, eine microSD-Karte, um sich das Betriebssystem der Wahl darauf zu installieren, und eine Maus.
30,- EUR inkl. Versand in Deutschland.
Das ist dieses Modell:

I officially hate press fit connectors. No idea how you're supposed to do these in low volume / prototyping. Oshpark's hole tolerances probably didn't help.
But I think they're in and hopefully i didn't crack any MLCCs in the process.

Dual guidance: ROM-informed field reconstruction with generative models
Sajad Salavatidezfouli, Henrik Karstoft, Alexandros Iosifidis, Mahdi Abkar
https://arxiv.org/abs/2506.13369

Dual guidance: ROM-informed field reconstruction with generative models
We present a dual-guided framework for reconstructing unsteady incompressible flow fields using sparse observations. The approach combines optimized sensor placement with a physics-informed guided generative model. Sensor locations are selected using mutual information theory applied to a reduced-order model of the flow, enabling efficient identification of high-information observation points with minimal computational cost. These sensors, once selected, provide targeted observations that guide…

Convergence Analysis of a Dual-Wind Discontinuous Galerkin Method for an Elliptic Optimal Control Problem with Control Constraints
Satyajith Bommana Boyana, Thomas Lewis, Sijing Liu, Yi Zhang
https://arxiv.org/abs/2506.12330

Convergence Analysis of a Dual-Wind Discontinuous Galerkin Method for an Elliptic Optimal Control Problem with Control Constraints
This paper investigates a symmetric dual-wind discontinuous Galerkin (DWDG) method for solving an elliptic optimal control problem with control constraints. The governing constraint is an elliptic partial differential equation (PDE), which is discretized using the symmetric DWDG approach. We derive error estimates in the energy norm for both the state and the adjoint state, as well as in the $L^2$ norm of the control variable. Numerical experiments are provided to demonstrate the robustness and…

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak
https://arxiv.org/abs/2506.15649

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Despite significant advances in inference-time search for vision-language models (VLMs), existing approaches remain both computationally expensive and prone to unpenalized, low-confidence generations which often lead to persistent hallucinations. We introduce \textbf{Value-guided Inference with Margin-based Reward (ViMaR)}, a two-stage inference framework that improves both efficiency and output fidelity by combining a temporal-difference value model with a margin-aware reward adjustment. In th…

My aging #Ubiquiti Edgerouter-X is failing. So, I spent 3 hours yesterday trying to set up a new #Unifi Gateway Max without success. I'm returning it.
I decided to just get a #miniPC with dua…

Brazil’s ANPD Preliminary Study on Generative AI highlights the dual nature of data protection law: balancing rights with technological innovation
https://fpf.org/blog/brazils-anpd-prel

At this year's Berlin Buzzwords, join Evgeniya Sukhodolskaya as she presents miniCOIL—a novel approach to creating a sparse neural retrieval model. This model aims to combine the advantages of dense and lexical retrieval methods while avoiding their drawbacks. Evgeniya will explain how to design and train a lightweight model that performs well on out-of-domain data and will demonstrate its capabilities.
Learn more:

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
Yeonju Ro, Zhenyu Zhang, Souvik Kundu, Zhangyang Wang, Aditya Akella
https://arxiv.org/abs/2506.09316

On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention
Large language models (LLMs) excel at capturing global token dependencies via self-attention but face prohibitive compute and memory costs on lengthy inputs. While sub-quadratic methods (e.g., linear attention) can reduce these costs, they often degrade accuracy due to overemphasizing recent tokens. In this work, we first propose \textit{dual-state linear attention} (\textbf{\dsla}), a novel design that maintains two specialized hidden states-one for preserving historical context and one for tr…

""economic dynamics" in Russia are "rapidly declining, with a risk of a technical recession in the second and third quarters" of 2025."
Putin Warned of Dual Threat to Russian Economy: 'Countdown to a Crisis'
https://www.newsweek.com/putin-warned-dual-threat-russian-economy-countdown-crisis-2082449

R\'enyi-Induced Information Geometry and Hartigan's Prior Family
Rebecca Maria Kuntz, Heinrich von Campe, Bj\"orn Malte Sch\"afer
https://arxiv.org/abs/2506.12028

Rényi-Induced Information Geometry and Hartigan's Prior Family
We derive the information geometry induced by the statistical Rényi divergence, namely its metric tensor, its dual parametrized connections, as well as its dual Laplacians. Based on these results, we demonstrate that the Rényi-geometry, though closely related, differs in structure from Amari's well-known $α$-geometry. Subsequently, we derive the canonical uniform prior distributions for a statistical manifold endowed with a Rényi-geometry, namely the dual Rényi-covolumes. We find that the …

Is this from the guys that claim they are into "PC, not Linux"? I'd watch that (streaming 12 hours from now, 18 June 2025, 20:00 GMT) ->
Watch Us Build A Linux-Based Dual GPU PC - LIVE - PCWorld
https://www.youtube.com/watch?v=ZG5iYjyIqLM

HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention
Miguel Camelo Botero, Esra Aycan Beyazit, Nina Slamnik-Krije\v{s}torac, Johann M. Marquez-Barja
https://arxiv.org/abs/2506.13408

HELENA: High-Efficiency Learning-based channel Estimation using dual Neural Attention
Accurate channel estimation is critical for high-performance Orthogonal Frequency-Division Multiplexing systems such as 5G New Radio, particularly under low signal-to-noise ratio and stringent latency constraints. This letter presents HELENA, a compact deep learning model that combines a lightweight convolutional backbone with two efficient attention mechanisms: patch-wise multi-head self-attention for capturing global dependencies and a squeeze-and-excitation block for local feature refinement…

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Shanfan Zhang, Yongyi Lin, Yuan Rao, Chenlong Zhang
https://arxiv.org/abs/2506.11538

Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering
Disentangling user intentions from implicit feedback has become a promising strategy to enhance recommendation accuracy and interpretability. Prior methods often model intentions independently and lack explicit supervision, thus failing to capture the joint semantics that drive user-item interactions. To address these limitations, we propose DMICF, a unified framework that explicitly models interaction-level intent alignment while leveraging structural signals from both user and item perspectiv…

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
Imdad Ullah, Najm Hassan, Tariq Ahamed Ahangar, Zawar Hussain Shah, Mehregan Mahdavi Andrew Levula
https://arxiv.org/abs/2506.13170

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
User profiling is crucial in providing personalised services, as it relies on analysing user behaviour and preferences to deliver targeted services. This approach enhances user experience and promotes heightened engagement. Nevertheless, user profiling also gives rise to noteworthy privacy considerations due to the extensive tracking and monitoring of personal data, potentially leading to surveillance or identity theft. We propose a dual-ring protection mechanism to protect user privacy by exam…

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety
Christina Q. Knight, Kaustubh Deshpande, Ved Sirdeshmukh, Meher Mankikar, Scale Red Team, SEAL Research Team, Julian Michael
https://arxiv.org/abs/2506.14922

FORTRESS: Frontier Risk Evaluation for National Security and Public Safety
The rapid advancement of large language models (LLMs) introduces dual-use capabilities that could both threaten and bolster national security and public safety (NSPS). Models implement safeguards to protect against potential misuse relevant to NSPS and allow for benign users to receive helpful information. However, current benchmarks often fail to test safeguard robustness to potential NSPS risks in an objective, robust way. We introduce FORTRESS: 500 expert-crafted adversarial prompts with ins…

NR Cell Identity-based Handover Decision-making Algorithm for High-speed Scenario within Dual Connectivity
Zhiyi Zhu, Eiji Takimoto, Patrick Finnertyn, Junjun Zheng, Shoma Suzuki, Chikara Ohta
https://arxiv.org/abs/2506.12461

NR Cell Identity-based Handover Decision-making Algorithm for High-speed Scenario within Dual Connectivity
The dense deployment of 5G heterogeneous networks (HetNets) has improved network capacity. However, it also brings frequent and unnecessary handover challenges to high-speed mobile user equipment (UE), resulting in unstable communication and degraded quality of service. Traditional handovers ignore the type of target next-generation Node B (gNB), resulting in high-speed UEs being able to be handed over to any gNB. This paper proposes a NR cell identity (NCI)-based handover decision-making algor…

Worldsheet CFT$_2$ and Celestial CFT$_2$ : An AdS$_3$-CFT$_2$ perspective
Shamik Banerjee, Nishant Gupta, Sagnik Misra
https://arxiv.org/abs/2506.14891 htt…

Worldsheet CFT$_2$ and Celestial CFT$_2$ : An AdS$_3$-CFT$_2$ perspective
Celestial CFT$_d$ is the putative dual of quantum gravity in asymptotically flat $(d+2)$ dimensional space time. We argue that a class of Celestial CFT$_d$ can be engineered via AdS$_{d+1}$-CFT$_d$ correspondence. Our argument is based on the observation that if we zoom in near the boundary of (Euclidean) AdS$_{d+1}$ then the conformal isometry group of EAdS$_{d+1}$, which is SO$(d+2,1)$, contracts to the Poincare group ISO$(d+1,1)$. This suggests that the near boundary scaling limit of a theor…

This https://arxiv.org/abs/2504.09546 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

A simulation-heuristics dual-process model for intuitive physics
The role of mental simulation in human physical reasoning is widely acknowledged, but whether it is employed across scenarios with varying simulation costs and where its boundary lies remains unclear. Using a pouring-marble task, our human study revealed two distinct error patterns when predicting pouring angles, differentiated by simulation time. While mental simulation accurately captured human judgments in simpler scenarios, a linear heuristic model better matched human predictions when simu…

Large Cu endowment in the Tibetan Plateau as a result of dual stage mantle fertilisation | Geochemical Perspectives Letters #copper #geology
h…

A Covariant Framework for Generalized Spinor Dual Structures
Rodolfo Jos\'e Bueno Rogerio, Rogerio Teixeira Cavalcanti, Luca Fabbri
https://arxiv.org/abs/2506.05819

A Covariant Framework for Generalized Spinor Dual Structures
In this work, we propose a novel framework for defining the dual structure of a spinor. This construction relies on the basis elements of the Clifford algebra, leading to a covariant structure that embeds the dual. The formulation includes free parameters that may be adjusted to meet specific requirements. Remarkably, it enables the explicit construction of representatives for each class within a recently proposed general classification of spinors. In addition to recovering known results, the f…

The equivalent condition for GRL codes to be MDS, AMDS or self-dual
Zhonghao Liang, Qunying Liao
https://arxiv.org/abs/2506.03874 https://

The equivalent condition for GRL codes to be MDS, AMDS or self-dual
It is well-known that MDS, AMDS or self-dual codes have good algebraic properties, and are applied in communication systems, data storage, quantum codes, and so on. In this paper, we focus on a class of generalized Roth-Lempel linear codes, and give an equivalent condition for them or their dual to be non-RS MDS, AMDS or non-RS self-dual and some corresponding examples.

EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair
Fangwen Mu, Junjie Wang, Lin Shi, Song Wang, Shoubin Li, Qing Wang
https://arxiv.org/abs/2506.10484

EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair
Automatically repairing software issues remains a fundamental challenge at the intersection of software engineering and AI. Although recent advancements in Large Language Models (LLMs) have demonstrated potential for repository-level repair tasks, current methodologies exhibit two notable limitations: (1) they often address issues in isolation, neglecting to incorporate insights from previously resolved issues, and (2) they rely on static and rigid prompting strategies, which constrain their ab…

Special vector fields on Riemannian manifolds of constant negative sectional curvature and conservation laws
Keti Tenenblat, Alice Barbora Tumpach
https://arxiv.org/abs/2506.14960

Special vector fields on Riemannian manifolds of constant negative sectional curvature and conservation laws
We show that any $n$-dimensional Riemannian manifold with constant negative sectional curvature admits local orthonormal vector fields such that one of them $v_1$ is tangent to geodesics and the other $n-1$ vector fields are tangent to horocycles. We prove that the $1$-form dual to $v_1$ is a closed form. We show how the closed form can be used to obtain conservation laws for PDEs whose generic solutions define metrics on open subsets with constant negative sectional curvature. These results ex…

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
Max Ku, Sun Sun, Hongyu Guo, Wenhu Chen
https://arxiv.org/abs/2506.14853

DisProtEdit: Exploring Disentangled Representations for Multi-Attribute Protein Editing
We introduce DisProtEdit, a controllable protein editing framework that leverages dual-channel natural language supervision to learn disentangled representations of structural and functional properties. Unlike prior approaches that rely on joint holistic embeddings, DisProtEdit explicitly separates semantic factors, enabling modular and interpretable control. To support this, we construct SwissProtDis, a large-scale multimodal dataset where each protein sequence is paired with two textual descr…

Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
El Arbi Belfarsi, Henry Flores, Maria Valero
https://arxiv.org/abs/2506.13819 https://

Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
In this study, we present a dual-modal AI framework based on short-wave infrared (SWIR) spectroscopy. The first modality employs a multi-wavelength SWIR imaging system coupled with convolutional neural networks (CNNs) to capture spatial features linked to glucose absorption. The second modality uses a compact photodiode voltage sensor and machine learning regressors (e.g., random forest) on normalized optical signals. Both approaches were evaluated on synthetic blood phantoms and skin-mimicking…

got a shipment of some dev boards to port #klutshnik to microcontrollers over usb/ble, these things are small, powerful and cheap!
Waveshare RP2350-Plus https://www.waveshare.com/rp2350-plus.htm

Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
Andrzej Cichocki
https://arxiv.org/abs/2506.13984 https://a…

Mirror Descent Using the Tempesta Generalized Multi-parametric Logarithms
In this paper, we develop a wide class Mirror Descent (MD) algorithms, which play a key role in machine learning. For this purpose we formulated the constrained optimization problem, in which we exploits the Bregman divergence with the Tempesta multi-parametric deformation logarithm as a link function. This link function called also mirror function defines the mapping between the primal and dual spaces and is associated with a very-wide (in fact, theoretically infinite) class of generalized tra…

Collaborative Interest-aware Graph Learning for Group Identification
Rui Zhao, Beihong Jin, Beibei Li, Yiyuan Zheng
https://arxiv.org/abs/2506.14826 https:…

Collaborative Interest-aware Graph Learning for Group Identification
With the popularity of social media, an increasing number of users are joining group activities on online social platforms. This elicits the requirement of group identification (GI), which is to recommend groups to users. We reveal that users are influenced by both group-level and item-level interests, and these dual-level interests have a collaborative evolution relationship: joining a group expands the user's item interests, further prompting the user to join new groups. Ultimately, the two i…

Replaced article(s) found for q-bio.NC. https://arxiv.org/list/q-bio.NC/new
[1/1]:
- Inverted Inference and Recursive Bootstrapping: A Primal-Dual Theory of Structured Cognition
Xin Li

Torsion Theories in a Non-pointed Context
Andrea Cappelletti, Andrea Montoli
https://arxiv.org/abs/2506.13349 https://arxiv.org/pdf/2…

Torsion Theories in a Non-pointed Context
We study a non-pointed version of the notion of torsion theory in the framework of categories equipped with a posetal monocoreflective subcategory such that the coreflector inverts monomorphisms. We explore the connections of such torsion theories with factorization systems and categorical Galois structures. We describe several examples of these torsion theories, in the dual of elementary toposes, in varieties of universal algebras used as models for non-classical logic, and in coslices of the …

i'm eternally confused about people replying to me here to the extent of "dual-use tools are not inherently bad"
yes. i am acutely aware. i don't think i've ever said anything to dispute it?

This https://arxiv.org/abs/2506.00975 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
Inspired by the impressive capabilities of GPT-4o, there is growing interest in enabling speech language models (SLMs) to engage in natural, fluid spoken interactions with humans. Recent advancements have led to the development of several SLMs that demonstrate promising results in this area. However, current approaches have yet to fully exploit dual-channel speech data, which inherently captures the structure and dynamics of human conversation. In this work, we systematically explore the use of…

Optical Control of Fluorescence Spatial Hole Burning Effect in Monolayer WS2
Yichun Pan, Liqing Zhu, Zheng Wang, Weihang Zhou
https://arxiv.org/abs/2506.15287

Optical Control of Fluorescence Spatial Hole Burning Effect in Monolayer WS2
Doping plays a crucial role in both electrical and optical properties of semiconductors. In this work, we report observation, as well as optical control, of fluorescence spatial hole burning effect in monolayer WS2. We demonstrate that the pronounced exciton-exciton annihilation process, in combination with the efficient capture of holes by intrinsic sulfur vacancy defects, induces significant photo-doping effect and eventually leads to fluorescence spatial hole burning. By means of a dual-beam…

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
Kecen Li, Zhicong Huang, Xinwen Hou, Cheng Hong
https://arxiv.org/abs/2506.11444 https://

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
As Diffusion Models (DM) generate increasingly realistic images, related issues such as copyright and misuse have become a growing concern. Watermarking is one of the promising solutions. Existing methods inject the watermark into the single-domain of initial Gaussian noise for generation, which suffers from unsatisfactory robustness. This paper presents the first dual-domain DM watermarking approach using a pipelined injector to consistently embed watermarks in both the spatial and frequency d…

Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts
S\'andor Baran, M\'aria Lakatos
https://arxiv.org/abs/2506.15578

Statistical post-processing of operational dual-resolution wind-speed ensemble forecasts
Weather forecasting presents several challenges, including the chaotic nature of the atmosphere and the high computational demands of numerical weather prediction models. To achieve the most accurate predictions, the ideal scenario involves the lowest possible horizontal resolution and the largest ensemble size. This study provides a detailed comparative analysis of the forecast skill of the raw and post-processed medium- and extended-range wind-speed ensemble forecasts of the European Centre f…

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming
Yuhang Cai, Michael Lindsey
https://arxiv.org/abs/2506.09711

Non-Euclidean dual gradient ascent for entropically regularized linear and semidefinite programming
We present an optimization framework that exhibits dimension-independent convergence on a broad class of semidefinite programs (SDPs). Our approach first regularizes the primal problem with the von Neumann entropy, then solve the regularized problem using dual gradient ascent with respect to a problem-adapted norm. In particular, we show that the dual gradient norm converges to zero at a rate independent of the ambient dimension and, via rounding arguments, construct primal-feasible solutions i…

Evidence for Dual Periodic Signatures in PKS 0805-07 from Multi-technique Time Series Analysis
Sikandar Akbar, Zahir Shah, Ranjeev Misra, Sajad Boked, Naseer Iqbal
https://arxiv.org/abs/2506.09602

Evidence for Dual Periodic Signatures in PKS 0805-07 from Multi-technique Time Series Analysis
We report the identification of two statistically significant quasi-periodic oscillations in the weekly binned $γ$-ray light curve of the flat-spectrum radio quasar PKS 0805$-$07, observed by Fermi-LAT over the period MJD 59047.5-59740.5. By applying a suite of complementary time-series analysis techniques, we identify periodic signatures at approximately 255 and 112 days. These techniques include the Lomb-Scargle periodogram (LSP), Weighted Wavelet Z-transform (WWZ), REDFIT, Date-Compensated …

Time-Varying Model Predictive Attitude Control for Magnetically Actuated Dual-Spin Satellites
Robert D. Halverson, Ryan J. Caverly
https://arxiv.org/abs/2506.07858

Time-Varying Model Predictive Attitude Control for Magnetically Actuated Dual-Spin Satellites
Attitude control hardware for small satellites is often limited in power and space availability given the importance of the science instruments they exist to transport. To mitigate this, a dual-spin stabilized satellite actuated via magnetic torque rods reduces the space and power required of the attitude control system, but may require advanced control policies. This paper explores the attitude control of a magnetically actuated dual-spin stabilized CubeSat with model predictive control using …

Enhancing gate control and mitigating short channel effects in 20-50 nm channel length single-gate amorphous oxide Thin Film Transistors
Chankeun Yoon, Yuchen Zhou, Ananth Dodabalapur
https://arxiv.org/abs/2506.14156

Enhancing gate control and mitigating short channel effects in 20-50 nm channel length single-gate amorphous oxide Thin Film Transistors
Field-effect transistors (FETs) with single gates are adversely affected by short channel effects such as drain-induced barrier lowering (DIBL) and increases in the magnitude of sub-threshold swing as the channel length is reduced. Dual-gate and gate-all-around geometries are often employed to improve gate control in very short channel length transistors. This can introduce significant process complexity to the device fabrication compared to single-gate transistors. It is shown in this paper th…

Graph Attention-based Decentralized Actor-Critic for Dual-Objective Control of Multi-UAV Swarms
Haoran Peng, Ying-Jun Angela Zhang
https://arxiv.org/abs/2506.09195

Graph Attention-based Decentralized Actor-Critic for Dual-Objective Control of Multi-UAV Swarms
This research focuses on optimizing multi-UAV systems with dual objectives: maximizing service coverage as the primary goal while extending battery lifetime as the secondary objective. We propose a Graph Attention-based Decentralized Actor-Critic (GADC) to optimize the dual objectives. The proposed approach leverages a graph attention network to process UAVs' limited local observation and reduce the dimension of the environment states. Subsequently, an actor-double-critic network is developed t…

Entanglement structure for finite system under dual-unitary dynamics
Gaurav Rudra Malik, Rohit Kumar Shukla, Sudhanva Joshi, S. Aravinda, Sunil Kumar Mishra
https://arxiv.org/abs/2506.09904

Entanglement structure for finite system under dual-unitary dynamics
The dynamics of quantum many-body systems in the chaotic regime are of particular interest due to the associated phenomena of information scrambling and entanglement generation within the system. While these systems are typically intractable using traditional numerical methods, an effective framework can be implemented based on dual-unitary circuits which have emerged as a minimal model for maximally chaotic dynamics. In this work, we investigate how individual two-body operators influence the …

A study of weak$^*$-weak points of continuity in the unit ball of dual spaces
S. Daptari, V. Montesinos, T. S. S. R. K. Rao
https://arxiv.org/abs/2506.08458

A study of weak$^*$-weak points of continuity in the unit ball of dual spaces
We study classes of Banach spaces where the points of weak$^*$-weak continuity for the identity mapping on the dual unit ball form a weak$^*$-dense and weak$^*$-$G_δ$ set. We also discuss how this property behaves in higher duals of Banach spaces. We prove in particular that if $\mathcal{A}$ is a von Neumann algebra and its predual has the Radon--Nikodým property, then there is no point of weak$^*$-weak continuity on the unit ball of $\mathcal{A}$.

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Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
Chengyu Yan, Huai Guan, Zhenyu Zhang, Yiheng Sun, Qiao Chen, Xinming Zhao, Chuanwen Zhao, James Jun He, Shun Wang
https://arxiv.org/abs/2506.07354

Dual-mode superconducting diode effect enabled by in-plane and out-of-plane magnetic field
The discovery of the superconducting diode effect (SDE) has been cherished as a milestone in developing superconducting electronics. Tremendous efforts are being dedicated to realizing SDE in a wide variety of material platforms. Despite the diversity in the hosting materials and device designs, SDE is usually operated in a single mode which is enabled by either out-of-plane or in-plane magnetic field/magnetization. In this work, we report the realization of a dual-mode SDE in 2H-$\mathrm{NbS_2…

A ringed-space-like structure on coalgebras for noncommutative algebraic geometry
So Nakamura
https://arxiv.org/abs/2506.14689 https://

A ringed-space-like structure on coalgebras for noncommutative algebraic geometry
Inspired by the perspective of Reyes' noncomutative spectral theory, we attempt to develop noncommutative algebraic geometry by introducing ringed coalgebras, which can be thought of as a noncommutative generalization of schemes over a field $k$. These objects arise from fully residually finite-dimensional(RFD) algebras introduced by Reyes and from schemes locally of finite type over $k$. The construction uses the Heyneman-Sweedler finite dual coalgebra and the Takeuchi underlying coalgebra. Wh…

On dual-rate consensus under transmission delays
David Umsonst, Mina Ferizbegovic
https://arxiv.org/abs/2506.02840 https://arxiv.org/…

On dual-rate consensus under transmission delays
In this paper, we investigate the problem of dual-rate consensus under transmission delays, where the control updates happen at a faster rate than the measurements being received. We assume that the measurements are delayed by a fixed delay and show that for all delays and rates, the system reaches a consensus if and only if the communication graph of the agents is connected and the control gain is chosen in a specific interval. Based on these results we dive deeper into the convergence propert…

This https://arxiv.org/abs/2205.12798 has been replaced.
link: https://scholar.google.com/scholar?q=a

An involutive dual knot surgery formula
We prove an involutive analog of the dual knot surgery formula of Eftekhary and Hedden-Levine. We also compute a small model for the local equivalence class of the involutive dual knot complex.

A covariant scalar-field framework for singularity resolution and dark energy
Martin Drobczyk
https://arxiv.org/abs/2506.12464 https://

A covariant scalar-field framework for singularity resolution and dark energy
We present a covariant scalar-field framework that unifies the space-time singularity resolution with dynamic dark energy. The theory extends general relativity by introducing a scalar field $Φ$ whose potential couples to the Lorentz-invariant quantity $X \equiv u_α u_β T^{αβ}_{\mathrm{matter}}$, ensuring manifest covariance. The resulting density-responsive scalar energy $ρ_Φ$ exhibits dual behavior: (i) in high-density regimes, it saturates at $ρ_Φ\leq AM_P^4/2$, providing a Planck-s…

Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Ramisa Fariha, Saikat Das, Labiba Tanjil Nida, Abeer Khan, Md Tashfiq Bin Kashem
https://arxiv.org/abs/2506.08556

Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Dual-material double-gate tunnel field effect transistor (DMDG TFET) is a promising candidate for low-power, high-speed electronics due to enhanced electrostatic control and superior switching characteristics. Integrating a pocket region between the source and channel-doped oppositely to the source-further improves tunneling efficiency by modulating the electric field at the tunneling junction. This combined architecture, termed the DMDG source-pocket TFET (DMDG-SP TFET), achieves higher ON cur…

Null infinity as an inverted extremal horizon: Matching an infinite set of conserved quantities for gravitational perturbations
Shreyansh Agrawal, Panagiotis Charalambous, Laura Donnay
https://arxiv.org/abs/2506.15526

Null infinity as an inverted extremal horizon: Matching an infinite set of conserved quantities for gravitational perturbations
Every spacetime that is asymptotically flat near null infinity can be conformally mapped via a spatial inversion onto the geometry around an extremal, non-rotating and non-expanding horizon. We set up a dictionary for this geometric duality, connecting the geometry and physics near null infinity to those near the dual horizon. We then study its physical implications for conserved quantities for extremal black holes, extending previously known results to the case of gravitational perturbations. …

Gerade laufen die Nebula-Award-Ceremonies. Aktuell spricht die diesjährige SFWA Grandmaster Nicola Griffith: https://nebulas.sfwa.org/grand-masters/nicola-griffith/

Brunn-Minkowski and Reverse Isoperimetric Inequalities for Dual Quermassintegrals
Shay Sadovsky, Gaoyong Zhang
https://arxiv.org/abs/2505.23748 https://

Brunn-Minkowski and Reverse Isoperimetric Inequalities for Dual Quermassintegrals
This paper establishes two new geometric inequalities in the dual Brunn-Minkowski theory. The first, originally conjectured by Lutwak, is the Brunn-Minkowski inequality for dual quermassintegrals of origin-symmetric convex bodies. The second, generalizing Ball's volume ratio inequality, is a reverse isoperimetric inequality: among all origin-symmetric convex bodies in John's position, the cube maximizes the dual quermassintegrals.

HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Jie Qin, Wei Yang, Yan Su, Yiran Zhu, Weizhen Li, Yunyue Pan, Chengchang Pan, Honggang Qi
https://arxiv.org/abs/2506.10006

HER2 Expression Prediction with Flexible Multi-Modal Inputs via Dynamic Bidirectional Reconstruction
Current HER2 assessment models for breast cancer predominantly analyze H&E or IHC images in isolation,despite clinical reliance on their synergistic interpretation. However, concurrent acquisition of both modalities is often hindered by workflow complexity and cost constraints. We propose an adaptive bimodal framework enabling flexible single-/dual-modality HER2 prediction through three innovations: 1) A dynamic branch selector that activates either single-modality reconstruction or dual-modali…

A universal cutoff phenomenon for mean-field exchange models
Pietro Caputo, Matteo Quattropani, Federico Sau
https://arxiv.org/abs/2506.12816 https://

A universal cutoff phenomenon for mean-field exchange models
We study a broad class of high-dimensional mean-field exchange models, encompassing both noisy and singular dynamics, along with their dual processes. This includes a generalized version of the averaging process as well as some non-reversible extensions of classical exchange dynamics, such as the flat Kac model. Within a unified framework, we analyze convergence to stationarity from worst-case initial data in Wasserstein distance. Our main result establishes a universal cutoff phenomenon at an …

RationalVLA: A Rational Vision-Language-Action Model with Dual System
Wenxuan Song, Jiayi Chen, Wenxue Li, Xu He, Han Zhao, Pengxiang Ding Shiyan Su, Feilong Tang, Xuelian Cheng, Donglin Wang, Zongyuan Ge, Xinhu Zheng, Zhe Liu, Hesheng Wang, Yunhui Liu, Haoang Li
https://arxiv.org/abs/2506.10826

RationalVLA: A Rational Vision-Language-Action Model with Dual System
A fundamental requirement for real-world robotic deployment is the ability to understand and respond to natural language instructions. Existing language-conditioned manipulation tasks typically assume that instructions are perfectly aligned with the environment. This assumption limits robustness and generalization in realistic scenarios where instructions may be ambiguous, irrelevant, or infeasible. To address this problem, we introduce RAtional MAnipulation (RAMA), a new benchmark that challen…

On balanced HKT manifolds
Giovanni Gentili, Mehdi Lejmi
https://arxiv.org/abs/2506.15519 https://arxiv.org/pdf/2506.15519

On balanced HKT manifolds
We prove the openness of the balanced HKT cone within the cone of HKT structures on a compact hypercomplex manifold $(M,I,J,K)$. We also study the Lie algebra of hyperholomorphic vector fields of type (1,0) with respect to $I$, with particular emphasis on the case when there exists a compatible balanced HKT metric. These fields exhibit a strict interplay with the balanced HKT structure, for instance, we prove a harmonicity property for (1,0)-forms dual to hyperholomorphic vector fields. We also…

The dual of inviting someone for dinner is

Starting to think about GPU acceleration of protocol decodes (rather than just basic math blocks) in ngscopeclient.
Here's the filter graph I'm thinking of using as a benchmark: dual lane QSGMII, 20M points per channel.
The filter graph takes 944 ms end to end to run on my box (2x Xeon 6144 2080 Ti).
Major time consumers:
* Eye pattern (~345 ms)
* QSGMII (~337 ms)
* CDR PLL (~310 ms)
* 8B10B (~160 ms)
* SGMII (~120 ms)
Note that the …

Distributed Asynchronous Primal-Dual Optimization for Supply-Chain Networks
Laksh Patel, Neel Shanbhag
https://arxiv.org/abs/2506.08024 https://

Distributed Asynchronous Primal-Dual Optimization for Supply-Chain Networks
Distributed supply-chain optimization demands algorithms that can cope with unreliable communication, unbounded messaging delays, and geographically dispersed agents while still guaranteeing convergence with provable rates. In this work, we introduce DAPD-SCO (Distributed Asynchronous Primal-Dual Optimization for Supply-Chain Networks), a fully asynchronous primal-dual scheme for network flow allocation over directed acyclic supply-chain graphs. Each edge agent independently updates its local f…

Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks
Jingke Sun, Liang Yang, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis, Hongwu Liu
https://arxiv.org/abs/2506.00601

Dual-UAV-Aided Covert Communications for Air-to-Ground ISAC Networks
To enhance both the sensing and covert communication performance, a dual-unmanned aerial vehicle (UAV)-aided scheme is proposed for integrated sensing and communication networks, in which one UAV maneuvers as the aerial dual-functional base-station (BS), while another UAV flies as the cooperative jammer. Artificial noise (AN) transmitted by the jamming UAV is utilized not only to confuse the ground warden but also to aid the aerial BS to sense multiple ground targets by combing the target-echoe…

PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
Ming Xu, Xu Zhang
https://arxiv.org/abs/2506.14596 https://

PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
Existing monocular 3D pose estimation methods primarily rely on joint positional features, while overlooking intrinsic directional and angular correlations within the skeleton. As a result, they often produce implausible poses under joint occlusions or rapid motion changes. To address these challenges, we propose the PoseGRAF framework. We first construct a dual graph convolutional structure that separately processes joint and bone graphs, effectively capturing their local dependencies. A Cross…

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
Usman Muhammad, Jorma Laaksonen
https://arxiv.org/abs/2506.05041 https:…

DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
2D convolutional neural networks (CNNs) have attracted significant attention for hyperspectral image super-resolution tasks. However, a key limitation is their reliance on local neighborhoods, which leads to a lack of global contextual understanding. Moreover, band correlation and data scarcity continue to limit their performance. To mitigate these issues, we introduce DACN, a dual-attention convolutional network for hyperspectral image super-resolution. Specifically, the model first employs au…

Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot
Keyi Zhu, Kyle Lammers, Kaixiang Zhang, Chaaran Arunachalam, Siddhartha Bhattacharya, Jiajia Li, Renfu Lu, Zhaojian Li
https://arxiv.org/abs/2506.05714

Advancement and Field Evaluation of a Dual-arm Apple Harvesting Robot
Apples are among the most widely consumed fruits worldwide. Currently, apple harvesting fully relies on manual labor, which is costly, drudging, and hazardous to workers. Hence, robotic harvesting has attracted increasing attention in recent years. However, existing systems still fall short in terms of performance, effectiveness, and reliability for complex orchard environments. In this work, we present the development and evaluation of a dual-arm harvesting robot. The system integrates a ToF c…

A polynomial projective algorithm for convex feasibility problems with positive-definite constraints
Sergei Chubanov
https://arxiv.org/abs/2506.15484 https…

A polynomial projective algorithm for convex feasibility problems with positive-definite constraints
We study a class of projective transformations of spectraplexes associated with self-dual cones and, on this basis, propose a polynomial-time algorithm for convex feasibility problems with positive definite constraints. At each iteration of the algorithm, either a feasible solution is found or a suitable valid inequality inducing a projective transformation allowing to bring the solution set closer to the center of an associated spectraplex. The closeness to the center is measured in terms of a…

A Model-Data Dual-Driven Resource Allocation Scheme for IREE Oriented 6G Networks
Tao Yu, Simin Wang, Shunqing Zhang, Xiaojing Chen, Zi Xu, Xin Wang, Jiandong Li, Junyu Liu, Sihai Zhang
https://arxiv.org/abs/2506.03508

A Model-Data Dual-Driven Resource Allocation Scheme for IREE Oriented 6G Networks
The rapid and substantial fluctuations in wireless network capacity and traffic demand, driven by the emergence of 6G technologies, have exacerbated the issue of traffic-capacity mismatch, raising concerns about wireless network energy consumption. To address this challenge, we propose a model-data dual-driven resource allocation (MDDRA) algorithm aimed at maximizing the integrated relative energy efficiency (IREE) metric under dynamic traffic conditions. Unlike conventional model-driven or dat…

Dual Approach to Inverse Covariance Intersection Fusion
Ji\v{r}\'i Ajgl, Ond\v{r}ej Straka
https://arxiv.org/abs/2506.05955 https://

Dual Approach to Inverse Covariance Intersection Fusion
Linear fusion of estimates under the condition of no knowledge of correlation of estimation errors has reached maturity. On the other hand, various cases of partial knowledge are still active research areas. A frequent motivation is to deal with "common information" or "common noise", whatever it means. A fusion rule for a strict meaning of the former expression has already been elaborated. Despite the dual relationship, a strict meaning of the latter one has not been considered so far. The pap…

A Novel Discrete Memristor-Coupled Heterogeneous Dual-Neuron Model and Its Application in Multi-Scenario Image Encryption
Yi Zou, Mengjiao Wang, Xinan Zhang, Herbert Ho-Ching Iu
https://arxiv.org/abs/2505.24294

A Novel Discrete Memristor-Coupled Heterogeneous Dual-Neuron Model and Its Application in Multi-Scenario Image Encryption
Simulating brain functions using neural networks is an important area of research. Recently, discrete memristor-coupled neurons have attracted significant attention, as memristors effectively mimic synaptic behavior, which is essential for learning and memory. This highlights the biological relevance of such models. This study introduces a discrete memristive heterogeneous dual-neuron network (MHDNN). The stability of the MHDNN is analyzed with respect to initial conditions and a range of neuro…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[5/6]:
Improving LLM Safety Alignment with Dual-Objective Optimization
https:…

Wise says it plans to shift main listing from London to New York, the latest blow to London's stock market, and will maintain a secondary listing on the LSE (Bloomberg)
https://www.bloomberg.com/news/articles/20

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
Yifan Zeng
https://arxiv.org/abs/2506.05844

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
Network Intrusion Detection Systems (NIDS) face challenges due to class imbalance, affecting their ability to detect novel and rare attacks. This paper proposes a Dual-Conditional Batch Normalization Variational Autoencoder ($\text{C}^{2}\text{BNVAE}$) for generating balanced and labeled network traffic data. $\text{C}^{2}\text{BNVAE}$ improves the model's adaptability to different data categories and generates realistic category-specific data by incorporating Conditional Batch Normalization (C…

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
Hangyu Ji
https://arxiv.org/abs/2506.05297 https://

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
Accurate 3D medical image segmentation demands architectures capable of reconciling global context modeling with spatial topology preservation. While State Space Models (SSMs) like Mamba show potential for sequence modeling, existing medical SSMs suffer from encoder-decoder incompatibility: the encoder's 1D sequence flattening compromises spatial structures, while conventional decoders fail to leverage Mamba's state propagation. We present DM-SegNet, a Dual-Mamba architecture integrating direct…

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

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

Completeness Stability of Quantum Measurements
Rakesh Saini, Jukka Kiukas, Daniel Burgarth, Alexei Gilchrist
https://arxiv.org/abs/2506.11539 https://

Completeness Stability of Quantum Measurements
We introduce a resource monotone, the completeness stability, to quantify the quality of quantum measurements within a resource-theoretic framework. By viewing a quantum measurement as a frame, the minimum eigenvalue of a frame operator emerges as a significant monotone. It captures bounds on estimation errors and the numerical stability of inverting the frame operator to calculate the optimal dual for state reconstruction. Maximizing this monotone identifies a well-characterized class of quant…

Duality-symmetric D3-brane action with twisted self-dual 2-form doublet
Pichet Vanichchapongjaroen
https://arxiv.org/abs/2506.07219 https://

Duality-symmetric D3-brane action with twisted self-dual 2-form doublet
In this paper we apply the Sen formulation, which is originally developed for chiral form fields, to construct non-linear duality-symmetric actions in four dimensions. In particular, the duality-symmetric D3-brane action coupled to the type IIB supergravity background is constructed in the Sen formulation. Key features of the Sen formulation are also present in the duality-symmetric actions. For example, there are unphysical fields with the wrong sign of kinetic terms. These fields are uncouple…

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
Alsharif Abuadbba, Chris Hicks, Kristen Moore, Vasilios Mavroudis, Burak Hasircioglu, Diksha Goel, Piers Jennings
https://arxiv.org/abs/2506.13434

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
Large Language Models (LLMs) are set to reshape cybersecurity by augmenting red and blue team operations. Red teams can exploit LLMs to plan attacks, craft phishing content, simulate adversaries, and generate exploit code. Conversely, blue teams may deploy them for threat intelligence synthesis, root cause analysis, and streamlined documentation. This dual capability introduces both transformative potential and serious risks. This position paper maps LLM applications across cybersecurity fram…

Cost-Efficient Design for 5G-Enabled MEC Servers under Uncertain User Demands
Yunyi Wu (University of Tsukuba), Yongbing Zhang (University of Tsukuba)
https://arxiv.org/abs/2506.13003

Cost-Efficient Design for 5G-Enabled MEC Servers under Uncertain User Demands
Mobile edge computing (MEC) enhances the performance of 5G networks by enabling low-latency, high-speed services through deploying data units of the base station on edge servers located near mobile users. However, determining the optimal capacity of these servers while dynamically offloading tasks and allocating computing resources to meet uncertain user demands presents significant challenges. This paper focuses on the design and planning of edge servers with the dual objectives of minimizing …

A Generic Construction on Self-orthogonal Algebraic Geometric Codes and Its Applications
Puyin Wang, Jinquan Luo
https://arxiv.org/abs/2506.00994 https://

A Generic Construction on Self-orthogonal Algebraic Geometric Codes and Its Applications
In the realm of algebraic geometric (AG) codes, characterizing dual codes has long been a challenging task. In this paper we introduces a generalized criterion to characterize self-orthogonality of AG codes based on residues, drawing upon the rich algebraic structures of finite fields and the geometric properties of algebraic curves. We also present a generic construction of self-orthogonal AG codes from self-dual MDS codes. Using these approaches, we construct several families of self-dual and…

This https://arxiv.org/abs/2410.18239 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

E2E-Swin-Unet++: An Enhanced End-to-End Swin-Unet Architecture With Dual Decoders For PTMC Segmentation
Precise segmentation of papillary thyroid microcarcinoma (PTMC) during ultrasound-guided radiofrequency ablation (RFA) is critical for effective treatment but remains challenging due to acoustic artifacts, small lesion size, and anatomical variability. In this study, we propose \textbf{DualSwinUnet++}, a dual-decoder transformer-based architecture designed to enhance PTMC segmentation by incorporating thyroid gland context. DualSwinUnet++ employs independent linear projection heads for each dec…

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
Jonathan Fried, Santiago Paternain
https://arxiv.org/abs/2506.03982 https://

A Bi-Level Optimization Method for Redundant Dual-Arm Minimum Time Problems
In this work, we present a method for minimizing the time required for a redundant dual-arm robot to follow a desired relative Cartesian path at constant path speed by optimizing its joint trajectories, subject to position, velocity, and acceleration limits. The problem is reformulated as a bi-level optimization whose lower level is a convex, closed-form subproblem that maximizes path speed for a fixed trajectory, while the upper level updates the trajectory using a single-chain kinematic formu…

This https://arxiv.org/abs/2503.19428 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

S-dual Quintessence, the Swampland, and the DESI DR2 Results
We propose a dark energy model in which a quintessence field $ϕ$ rolls near the vicinity of a local maximum of its potential characterized by the simplest $S$ self-dual form $V(ϕ) = Λ\ {\rm sech}(\sqrt{2} \, ϕ/M_p)$, where $M_p$ is the reduced Planck mass and $Λ\sim 10^{-120} M_p^4$ is the cosmological constant. We confront the model with Swampland ideas and show that the $S$-dual potential is consistent with the distance conjecture, the de Sitter conjecture, and the trans-Planckian censor…

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies
Shunyu Li, Tianqi Mao, Guangyao Liu, Fan Zhang, Ruiqi Liu, Meng Hua, Zhen Gao, Qingqing Wu, George K. Karagiannidis
https://arxiv.org/abs/2506.13713

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies
As the demand for ubiquitous connectivity and high-precision environmental awareness grows, integrated sensing and communication (ISAC) has emerged as a key technology for sixth-generation (6G) wireless networks. Intelligent metasurfaces (IMs) have also been widely adopted in ISAC scenarios due to their efficient, programmable control over electromagnetic waves. This provides a versatile solution that meets the dual-function requirements of next-generation networks. Although reconfigurable inte…

A primal-dual price-optimization method for computing equilibrium prices in mean-field games models
Xu Wang, Samy Wu Fung, Levon Nurbekyan
https://arxiv.org/abs/2506.04169

A primal-dual price-optimization method for computing equilibrium prices in mean-field games models
We develop a simple yet efficient Lagrangian method for computing equilibrium prices in a mean-field game price-formation model. We prove that equilibrium prices are optimal in terms of a suitable criterion and derive a primal-dual gradient-based algorithm for computing them. One of the highlights of our computational framework is the efficient, simple, and flexible implementation of the algorithm using modern automatic differentiation techniques. Our implementation is modular and admits a seam…

SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
Min Li, Chen Chen, Zhenghao Li, Yin Liu, Shanshan Shan, Peng Wu, Pengfei Rong, Feng Liu, G. Bruce Pike, Alan H. Wilman, Hongfu Sun, Yang Gao
https://arxiv.org/abs/2506.13293

SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
Quantitative susceptibility mapping (QSM) provides a valuable tool for quantifying susceptibility distributions in human brains; however, two types of opposing susceptibility sources (i.e., paramagnetic and diamagnetic), may coexist in a single voxel, and cancel each other out in net QSM images. Susceptibility source separation techniques enable the extraction of sub-voxel information from QSM maps. This study proposes a novel SUSEP-Net for susceptibility source separation by training a dual-br…

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new/
[3/3]:
Reinforcing Multimodal Understanding and Generation with Dual Self-rewards

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
Alsharif Abuadbba, Chris Hicks, Kristen Moore, Vasilios Mavroudis, Burak Hasircioglu, Diksha Goel, Piers Jennings
https://arxiv.org/abs/2506.13434

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
Large Language Models (LLMs) are set to reshape cybersecurity by augmenting red and blue team operations. Red teams can exploit LLMs to plan attacks, craft phishing content, simulate adversaries, and generate exploit code. Conversely, blue teams may deploy them for threat intelligence synthesis, root cause analysis, and streamlined documentation. This dual capability introduces both transformative potential and serious risks. This position paper maps LLM applications across cybersecurity fram…

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Hao Chen, Jiaming Liu, Chenyang Gu, Zhuoyang Liu, Renrui Zhang, Xiaoqi Li, Xiao He, Yandong Guo, Chi-Wing Fu, Shanghang Zhang, Pheng-Ann Heng
https://arxiv.org/abs/2506.01953

Fast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning
Generalized policy and execution efficiency constitute the two critical challenges in robotic manipulation. While recent foundation policies benefit from the common-sense reasoning capabilities of internet-scale pretrained vision-language models (VLMs), they often suffer from low execution frequency. To mitigate this dilemma, dual-system approaches, inspired by Kahneman's theory, have been proposed to leverage a VLM-based System 2 model handling high-level reasoning and a separate System 1 acti…

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Penghe Zhang, Naihua Xiu, Houduo Qi
https://arxiv.org/abs/2506.08374

Composite Optimization with Indicator Functions: Stationary Duality and a Semismooth Newton Method
Indicator functions of taking values of zero or one are essential to numerous applications in machine learning and statistics. The corresponding primal optimization model has been researched in several recent works. However, its dual problem is a more challenging topic that has not been well addressed. One possible reason is that the Fenchel conjugate of any indicator function is finite only at the origin. This work aims to explore the dual optimization for the sum of a strongly convex function…

DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving
Dawood Wasif, Terrence J Moore, Chandan K Reddy, Jin-Hee Cho
https://arxiv.org/abs/2506.00819

DriveMind: A Dual-VLM based Reinforcement Learning Framework for Autonomous Driving
End-to-end autonomous driving systems map sensor data directly to control commands, but remain opaque, lack interpretability, and offer no formal safety guarantees. While recent vision-language-guided reinforcement learning (RL) methods introduce semantic feedback, they often rely on static prompts and fixed objectives, limiting adaptability to dynamic driving scenes. We present DriveMind, a unified semantic reward framework that integrates: (i) a contrastive Vision-Language Model (VLM) encoder…

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Ziliang Zhang, Cong Liu, Hyoseung Kim
https://arxiv.org/abs/2506.01135

$\text{TREX}^2$: Dual-Reconstruction Framework for Teleoperated-Robot with EXtended Reality
Robot teleoperation with extended reality (XR teleoperation) enables intuitive interaction by allowing remote robots to mimic user motions with real-time 3D feedback. However, existing systems face significant motion-to-motion (M2M) latency--the delay between the user's latest motion and the corresponding robot feedback--leading to high teleoperation error and mission completion time. This issue stems from the system's exclusive reliance on network communication, making it highly vulnerable to …