Tootfinder

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

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

Synesthesia of Machines (SoM)-Enhanced Sub-THz ISAC Transmission for Air-Ground Network
Zonghui Yang, Shijian Gao, Xiang Cheng, Liuqing Yang
https://arxiv.org/abs/2506.12831

Synesthesia of Machines (SoM)-Enhanced Sub-THz ISAC Transmission for Air-Ground Network
Integrated sensing and communication (ISAC) within sub-THz frequencies is crucial for future air-ground networks, but unique propagation characteristics and hardware limitations present challenges in optimizing ISAC performance while increasing operational latency. This paper introduces a multi-modal sensing fusion framework inspired by synesthesia of machine (SoM) to enhance sub-THz ISAC transmission. By exploiting inherent degrees of freedom in sub-THz hardware and channels, the framework opt…

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Guojun Huang, Jiancheng An, Lu Gan, Dusit Niyato, M\'erouane Debbah, Tie Jun Cui
https://arxiv.org/abs/2506.12368

Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications
Semantic communication (SemCom) powered by generative artificial intelligence enables highly efficient and reliable information transmission. However, it still necessitates the transmission of substantial amounts of data when dealing with complex scene information. In contrast, the stacked intelligent metasurface (SIM), leveraging wave-domain computing, provides a cost-effective solution for directly imaging complex scenes. Building on this concept, we propose an innovative SIM-aided multi-moda…

Poisson-type problems with transmission conditions at boundaries of infinite metric trees
Maryna Kachanovska, Kiyan Naderi, Konstantin Pankrashkin
https://arxiv.org/abs/2506.11218

Poisson-type problems with transmission conditions at boundaries of infinite metric trees
The paper introduces a Poisson-type problem on a mixed-dimensional structure combining a Euclidean domain and a lower-dimensional self-similar component touching a compact surface (interface). The lower-dimensional piece is a so-called infinite metric tree (one-dimensional branching structure), and the key ingredient of the study is a rigorous definition of the gluing conditions between the two components. These constructions are based on the recent concept of embedded trace maps and some abstr…

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
Chuntao Ding, Jianhang Xie, Junna Zhang, Salman Raza, Shangguang Wang, Jiannong Cao
https://arxiv.org/abs/2506.12335

GroupNL: Low-Resource and Robust CNN Design over Cloud and Device
It has become mainstream to deploy Convolutional Neural Network (CNN) models on ubiquitous Internet of Things (IoT) devices with the help of the cloud to provide users with a variety of high-quality services. Most existing methods have two limitations: (i) low robustness in handling corrupted image data collected by IoT devices; and (ii) high consumption of computational and transmission resources. To this end, we propose the Grouped NonLinear transformation generation method (GroupNL), which g…

User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Carla F. Griggio, Boel Nelson, Zefan Sramek, Aslan Askarov
https://arxiv.org/abs/2506.11212

User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Mainstream messaging platforms offer a variety of features designed to enhance user privacy, such as disappearing messages, password-protected chats, and end-to-end encryption (E2EE), which primarily protect message contents. Beyond contents, the transmission of messages generates metadata that can reveal who communicates with whom, when and how often. In this paper, we study user perceptions of "untraceability", i.e., preventing third parties from tracing who communicates with whom, with the g…

🇺🇦 Auf radioeins läuft...
Joy Division:
🎵 Transmission
#NowPlaying #JoyDivision
https://odditymusic.bandcamp.com/track/transmission-joy-division-cover
https://open.spotify.com/track/69aXQyUnUC0BWgATlSWNB2

Stability and Performance of Online Feedback Optimization for Distribution Grid Flexibility
Florian Klein-Helmkamp, Tina M\"ollemann, Irina Zettl, Andreas Ulbig
https://arxiv.org/abs/2506.13280

Stability and Performance of Online Feedback Optimization for Distribution Grid Flexibility
The integration of distributed energy resources (DERs) into sub-transmission systems has enabled new opportunities for flexibility provision in ancillary services such as frequency and voltage support, as well as congestion management. This paper investigates the stability and performance of Online Feedback Optimization (OFO) controllers in ensuring reliable flexibility provision. A hierarchical control architecture is proposed, emphasizing safe transitions between system states within the Feas…

Learning Best Paths in Quantum Networks
Xuchuang Wang, Maoli Liu, Xutong Liu, Zhuohua Li, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
https://arxiv.org/abs/2506.12462

Learning Best Paths in Quantum Networks
Quantum networks (QNs) transmit delicate quantum information across noisy quantum channels. Crucial applications, like quantum key distribution (QKD) and distributed quantum computation (DQC), rely on efficient quantum information transmission. Learning the best path between a pair of end nodes in a QN is key to enhancing such applications. This paper addresses learning the best path in a QN in the online learning setting. We explore two types of feedback: "link-level" and "path-level". Link-le…

Replaced article(s) found for astro-ph.EP. https://arxiv.org/list/astro-ph.EP/new
[1/1]:
A Next-Generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTR...

Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Bulat Batuev, Arsenii Onuchin, Sergey Sukhov
https://arxiv.org/abs/2506.13615 http…

Effective Stimulus Propagation in Neural Circuits: Driver Node Selection
Precise control of signal propagation in modular neural networks represents a fundamental challenge in computational neuroscience. We establish a framework for identifying optimal control nodes that maximize stimulus transmission between weakly coupled neural populations. Using spiking stochastic block model networks, we systematically compare driver node selection strategies - including random sampling and topology-based centrality measures (degree, betweenness, closeness, eigenvector, harmoni…

Theory of infrared magneto-optical effects from chiral phonons in solids
Chiara Fiorazzo, Cheol-Hwan Park, Ivo Souza, Matteo Calandra
https://arxiv.org/abs/2506.11258

Theory of infrared magneto-optical effects from chiral phonons in solids
In crystals with broken time-reversal symmetry, zone-center phonons can acquire a finite angular momentum via velocity-dependent forces on the nuclei. Despite having the same order of magnitude as the electron spin angular momentum, the phonon angular momentum can be hard to detect because the frequency splitting is small. Here, by developing a theory of lattice magneto-optical effects in reflection and transmission, we show that infrared magnetic circular dichroism is a sensitive probe of zone…

Let the Tree Decide: FABART A Non-Parametric Factor Model
Sofia Velasco
https://arxiv.org/abs/2506.11551 https://arxiv.org/pdf/2506.1…

Let the Tree Decide: FABART A Non-Parametric Factor Model
This article proposes a novel framework that integrates Bayesian Additive Regression Trees (BART) into a Factor-Augmented Vector Autoregressive (FAVAR) model to forecast macro-financial variables and examine asymmetries in the transmission of oil price shocks. By employing nonparametric techniques for dimension reduction, the model captures complex, nonlinear relationships between observables and latent factors that are often missed by linear approaches. A simulation experiment comparing FABART…

China releases draft guidelines on cross-border transmission of automobile data, which could pave the way for the wider rollout of Tesla's FSD in the country (Bloomberg)
https://www.bloomberg.com/news/articles/20

Few-MHz bandwidth tunable optical filter based on a fiber-ring resonator
Gabriele Maron, Anton B\"olian, Xin-Xin Hu, Luke Masters, Arno Rauschenbeutel, J\"urgen Volz
https://arxiv.org/abs/2506.11953

Few-MHz bandwidth tunable optical filter based on a fiber-ring resonator
We present a fiber-ring resonator that realizes an ultra-narrowband, high-extinction, low-loss, tunable optical filter. It consists of a pair of commercial variable ratio directional couplers that allow precise adjustment of the filter bandwidth and its on-resonance transmission. This design also grants access to multiple modes of operation, such as a simultaneous band-stop and band-pass filter. Our characterization reveals a bandwidth of less than 2 MHz, together with an extinction exceeding 2…

The National Institutes of Health is responsible for more than 80% of the world’s grant investment in biomedical research.
Its funding has sparked countless medical breakthroughs
— on cancer, diabetes, strokes
— and plays a fundamental role in the development of pharmaceutical drugs.
Scientists compete vigorously for a slice of the more than $30 billion that the agency doles out annually;
they can spend years assembling grant applications that stretch thousand…

Science Shattered
The Trump administration cut research funding that sought cures for future pandemics, examined the causes of dementia and tried to prevent HIV transmission. More than 150 researchers shared with ProPublica what is being lost.

Privacy-Preserving Federated Learning against Malicious Clients Based on Verifiable Functional Encryption
Nina Cai, Jinguang Han
https://arxiv.org/abs/2506.12846

Privacy-Preserving Federated Learning against Malicious Clients Based on Verifiable Functional Encryption
Federated learning is a promising distributed learning paradigm that enables collaborative model training without exposing local client data, thereby protect data privacy. However, it also brings new threats and challenges. The advancement of model inversion attacks has rendered the plaintext transmission of local models insecure, while the distributed nature of federated learning makes it particularly vulnerable to attacks raised by malicious clients. To protect data privacy and prevent malici…

A Compact Dynamic Omnidirectional Antenna
Sheng Huang, Jacob R. Randall, Cory Hilton, Jeffrey A. Nanzer
https://arxiv.org/abs/2506.11351 https://

A Compact Dynamic Omnidirectional Antenna
We propose a novel omnidirectional antenna design incorporating directional modulation for secure narrow planar information transmission. The proposed antenna features a compact size and stable omnidirectional radiation performance by employing two tightly spaced, printed meander line monopole antennas, acting as a single radiating element. To achieve a narrow information secure region, the proposed antenna is fed by differential power excitation of two ports with real-time dynamic switching. T…

Replaced article(s) found for physics.med-ph. https://arxiv.org/list/physics.med-ph/new
[1/1]:
Practical Global Backprojection-Convolution in Transmission Cone-beam Computed Tomography

China’s ultra-high-voltage transmission reduced coal use and air pollution, improved health https://www.sciencedirect.com/science/article/pii/S0140988325004967 @…

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
Jinkun Zhang, Yuezhou Liu, Edmund Yeh
https://arxiv.org/abs/2506.13626

Delay-optimal Congestion-aware Routing and Computation Offloading in Arbitrary Network
Emerging edge computing paradigms enable heterogeneous devices to collaborate on complex computation applications. However, for arbitrary heterogeneous edge networks, delay-optimal forwarding and computation offloading remains an open problem. In this paper, we jointly optimize data/result routing and computation placement in arbitrary networks with heterogeneous node capabilities, and congestion-dependent nonlinear transmission and processing delay. Despite the non-convexity of the formulated …

Quantum secret sharing in a triangular superconducting quantum network
Haoxiong Yan, Allen Zang, Joel Grebel, Xuntao Wu, Ming-Han Chou, Gustav Andersson, Christopher R. Conner, Yash J. Joshi, Shiheng Li, Jacob M. Miller, Rhys G. Povey, Hong Qiao, Eric Chitambar, Andrew N. Cleland
https://arxiv.org/abs/2506.10878

Quantum secret sharing in a triangular superconducting quantum network
We present a three-node quantum communication testbed with a triangular topology, each side of the triangle formed by a 1.3-meter-long transmission line. We demonstrate state transfer and entanglement generation between any two nodes, generate genuine multipartite entangled GHZ states, and implement quantum secret sharing (QSS) of classical information. Our experiments show that the QSS protocol can effectively detect eavesdropping, ensuring the secure sharing of secrets. This device forms a te…

The Stress-Force-Fabric relation across shear bands
Carmen Lee, \'Emilien Az\'ema, Karen Daniels
https://arxiv.org/abs/2506.09741 https://

The Stress-Force-Fabric relation across shear bands
The strength of granular materials is highly dependent on grain connectivity (fabric), force transmission, and frictional mobilization at the particle scale. Furthermore, these bulk properties are strongly dependent on the geometry and history of loading. It is well established that anisotropy in fabric and force transmission through a granular packing directly relates to the bulk scale strength of the packing via the Stress-Force-Fabric (SFF) relation. We have recently verified the validity of…

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
Ali Waqas, Sinem Coleri
https://arxiv.org/abs/2506.10699 https://

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
Sensor-based local inference at IoT devices faces severe computational limitations, often requiring data transmission over noisy wireless channels for server-side processing. To address this, split-network Deep Neural Network (DNN) based Joint Source-Channel Coding (JSCC) schemes are used to extract and transmit relevant features instead of raw data. However, most existing methods rely on fixed network splits and static configurations, lacking adaptability to varying computational budgets and c…

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Alexander S. Carney, Juan S. Salcedo-Gallo, Salil K. Bedkihal, Mattias Fitzpatrick
https://arxiv.org/abs/2506.09141

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Exceptional points (EPs), spectral singularities arising in non-Hermitian dynamical systems, have drawn widespread attention for their potential to enhance sensor capability by leveraging characteristic square-root frequency splitting. However, the advantages of EP sensors have remained highly contested, primarily due to their inherent hypersensitivity to model errors and loss of precision arising from eigenbasis collapse, quantified by the Petermann noise factor. Recently, it has been suggeste…

Synchronous Clock and RF Carrier Transmission for Radio Access Network Fronthaul
Kari Aaron Clark, Zun Htay, Zichuan Zhou, Amany Kassem, Andrea Pertoldi, Benjamin Rudin, Florian Emaury, Izzat Darwazeh, Zhixin Liu
https://arxiv.org/abs/2506.05811

Synchronous Clock and RF Carrier Transmission for Radio Access Network Fronthaul
We simultaneously achieve clock synchronisation, clock-synchronised data transmission and ultra-low noise RF carrier generation by combining clock phase caching and frequency comb transmission in radio access networks (RAN). We demonstrate <100fs jitter for 25GHz RF carrier and 2.5GHz clock, and 16-hour 6.6ps RMS wander.

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
Guanghu Xie, Zhiduo Jiang, Yonglong Zhang, Yang Liu, Zongwu Xie, Baoshi Cao, Hong Liu
https://arxiv.org/abs/2506.09491

DCIRNet: Depth Completion with Iterative Refinement for Dexterous Grasping of Transparent and Reflective Objects
Transparent and reflective objects in everyday environments pose significant challenges for depth sensors due to their unique visual properties, such as specular reflections and light transmission. These characteristics often lead to incomplete or inaccurate depth estimation, which severely impacts downstream geometry-based vision tasks, including object recognition, scene reconstruction, and robotic manipulation. To address the issue of missing depth information in transparent and reflective o…

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Avery Drennan, Jeffrey Covington, Dan Han, Andrew Attilio, Jaechoul Lee, Richard Posner, Eck Doerry, Joseph Mihaljevic, Ye Chen
https://arxiv.org/abs/2505.24127

Estimating dynamic transmission rates with a Black-Karasinski process in stochastic SIHR models using particle MCMC
Compartmental models are effective in modeling the spread of infectious pathogens, but have remaining weaknesses in fitting to real datasets exhibiting stochastic effects. We propose a stochastic SIHR model with a dynamic transmission rate, where the rate is modeled by the Black-Karasinski (BK) process - a mean-reverting stochastic process with a stable equilibrium distribution, making it well-suited for modeling long-term epidemic dynamics. To generate sample paths of the BK process and estima…

Evaluating interventions for Plasmodium vivax forest malaria using a three-scale mathematical model
Shoshana Elgart, Mark B. Flegg, Jennifer A. Flegg
https://arxiv.org/abs/2506.10040

Evaluating interventions for Plasmodium vivax forest malaria using a three-scale mathematical model
The rising proportion of Plasmodium vivax cases concentrated in forest-fringe areas across the Greater Mekong Subregion highlights the importance of pharmaceutical and mosquito control techniques specifically targeted towards forest-going populations. To mathematically assess best-possible antimalarial interventions in the context of hypnozoite reactivation and seasonal forest migration, we extend a previously developed three-scale integro-differential equations model of P. vivax transmission. …

Point Jacobi-type preconditioning and parameter tuning for Calderon-preconditioned Burton-Miller method in transmission problems
Keigo Tomoyasu, Hiroshi Isakari
https://arxiv.org/abs/2506.01440

Point Jacobi-type preconditioning and parameter tuning for Calderon-preconditioned Burton-Miller method in transmission problems
It was recently demonstrated that the boundary element method based on the Burton-Miller formulation (BM-BEM), widely used for solving exterior problems, can be adapted to solve transmission problems efficiently. This approach utilises Calderon's identities to improve the spectral properties of the underlying integral operator. Consequently, most eigenvalues of the squared BEM coefficient matrix, i.e. the collocation-discretised version of the operator, cluster at a few points in the complex pl…

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
Yuxuan Li, Sheng Jinag, Bizhu Wang
https://arxiv.org/abs/2506.10001

Semantic Communication-Enabled Cloud-Edge-End-collaborative Metaverse Services Architecure
With technology advancing and the pursuit of new audiovisual experiences strengthening, the metaverse has gained surging enthusiasm. However, it faces practical hurdles as substantial data like high-resolution virtual scenes must be transmitted between cloud platforms and VR devices. Specifically, the VR device's wireless transmission hampered by insufficient bandwidth, causes speed and delay problems. Meanwhile, poor channel quality leads to data errors and worsens user experience. To solve th…

hiv_transmission: HIV transmission network (1988-2001)
A set of networks of HIV transmissions between people through sexual, needle-sharing, or social connections, based on combining 8 datasets collected from 1988 to 2001. Metadata includes test results of several diseases, as well as demographic variables such as age, ethnicity, and gender. Networks come in two flavors: egodyads and altdyads. Egodyads are the network among study-participants and their direct partners. Altdyads are the…

This https://arxiv.org/abs/2411.02829 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDC_…

CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration
Large Language Models (LLMs) exhibit remarkable human-like predictive capabilities. However, it is challenging to deploy LLMs to provide efficient and adaptive inference services at the edge. This paper proposes a novel Cloud-Edge Collaboration framework for LLMs (CE-CoLLM) to tackle these challenges. First, we identify the transmission of LLM contextual data between the cloud and edge as a key performance bottleneck, which introduces substantial communication overhead that dominates overall in…

masks at protests / demographics
Interestingly, at the May Day gathering I was the only one in a mask.
Thinking about the contrast with the trans protest the other week, where "good" (fitted not floppy) masks were dotted about throughout the crowd, and felt normalised.
Today's march was a less crowded event than the trans protest, so pretty low-risk for covid transmission anyway. But then when we got to the mini-fair after the march, indoors at the Friends' Meeting House, I didn't see anyone masking indoors either.
I wonder about the demographics of that difference. Seems like there's a traditional union/Labour left who share the mainstream denial of present-day covid, and a statistically more disabled & marginalised cohort where trans awareness and disability/illness awareness overlap.
#masks #CovidIsntOver

The Iris File Extension
Ryan Erik Landvater, Michael David Olp, Mustafa Yousif, Ulysses Balis
https://arxiv.org/abs/2506.10009 https://

The Iris File Extension
A modern digital pathology vendor-agnostic binary slide format specifically targeting the unmet need of efficient real-time transfer and display has not yet been established. Growing adoption of digital pathology only intensifies the need for an intermediary digital slide format with an emphasis on performance for use between slide servers and image management software or for inter-institutional transmission of cases. Although the DICOM standard is a well-established format widely used for long…

This https://arxiv.org/abs/2411.16258 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Measurement of the Resolution of the Timepix4 Detector for 100 keV and 200 keV Electrons for Transmission Electron Microscopy
We have evaluated the imaging capabilities of the Timepix4 hybrid silicon pixel detector for 100 keV and 200 keV electrons in a Transmission Electron Microscope (TEM). Using the knife-edge method, we have measured the Modulation Transfer Function (MTF) at both energies. Our results show a decrease in MTF response at Nyquist (spatial) frequency, dropping from approximately 0.16 at 100 keV to 0.0046 at 200 keV. However, by using the temporal structure of the detected events, including the arrival…

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning
Kai Zhou, Youbiao He, Chong Zhong, Yifu Wu
https://arxiv.org/abs/2506.08893 …

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning
Despite high reliability, modern power systems with growing renewable penetration face an increasing risk of cascading outages. Real-time cascade mitigation requires fast, complex operational decisions under uncertainty. In this work, we extend the influence graph into a Markov decision process model (MDP) for real-time mitigation of cascading outages in power transmission systems, accounting for uncertainties in generation, load, and initial contingencies. The MDP includes a do-nothing action …

JWST NIRISS Transmission Spectroscopy of the Super-Earth GJ 357b, a Favourable Target for Atmospheric Retention
Jake Taylor, Michael Radica, Richard D. Chatterjee, Mark Hammond, Tobias Meier, Suzanne Aigrain, Ryan J. MacDonald, Loic Albert, Bj\"orn Benneke, Louis-Philippe Coulombe, Nicolas B. Cowan, Lisa Dang, Ren\'e Doyon, Laura Flagg, Doug Johnstone, Lisa Kaltenegger, David Lafreni\`ere, Stefan Pelletier, Caroline Piaulet-Ghorayeb, Jason F. Rowe, Pierre-Alexis Roy

JWST NIRISS Transmission Spectroscopy of the Super-Earth GJ 357b, a Favourable Target for Atmospheric Retention
We present a JWST NIRISS/SOSS transmission spectrum of the super-Earth GJ 357 b: the first atmospheric observation of this exoplanet. Despite missing the first $\sim$40 % of the transit due to using an out-of-date ephemeris, we still recover a transmission spectrum that does not display any clear signs of atmospheric features. We perform a search for Gaussian-shaped absorption features within the data but find that this analysis yields comparable fits to the observations as a flat line. We comp…

A Survey of Data Compression Algorithms and their Applications
Mohammad Hosseini
https://arxiv.org/abs/2506.10000 https://arxiv.org/p…

A Survey of Data Compression Algorithms and their Applications
Today, with the growing demands of information storage and data transfer, data compression is becoming increasingly important. Data Compression is a technique which is used to decrease the size of data. This is very useful when some huge files have to be transferred over networks or being stored on a data storage device and the size is more than the capacity of the data storage or would consume so much bandwidth for transmission in a network. With the advent of the Internet and mobile devices w…

sunset, n.:
Pronounced atmospheric scattering of shorter wavelengths,
resulting in selective transmission below 650 nanometers with
progressively reducing solar elevation.

This https://arxiv.org/abs/2404.02791 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Thermodynamic limits on general far-from-equilibrium molecular templating networks
Cells produce RNA and proteins via molecular templating networks. We show that information transmission in such networks is bounded by functions of a simple thermodynamic property of the network, regardless of complexity. Surprisingly, putative systems operating at this bound do not have a high flux around the network. Instead, they have low entropy production, with each product in a ``pseudo-equilibrium'' determined by a single pathway. These pseudo-equilibrium limits constrain information tra…

Theory of terahertz pulse transmission through ferroelectric nanomembranes
Yujie Zhu, Aiden Ross, Xiangwei Guo, Venkatraman Gopalan, Long-Qing Chen, Jia-Mian Hu
https://arxiv.org/abs/2506.00370

Theory of terahertz pulse transmission through ferroelectric nanomembranes
An analytical model is developed to predict the temporal evolution of the lattice polarization in ferroelectric nanomembranes upon the excitation by a terahertz (THz) electromagnetic pulse of an arbitrary waveform, and the concurrent transmission of the THz pulse in both the linear and the nonlinear regimes. It involves the use of the perturbation method to solve the equation of motion for the lattice polarization in both unclamped and strained ferroelectric nanomembranes within the framework o…

Decoding TCP SYN for Stronger Network Security
https://www.netscout.com/blog/asert/decoding-tcp-syn-stronger-network-security
A brief look at TCP SYNs observed by low impact honeypots. I mainly sought evidence for source address spoofing and a…

Decoding TCP SYN for Stronger Network Security | NETSCOUT
Analyzing transmission control protocol (TCP) SYN segments, the initial step in th

Joint Routing and Control Optimization in VANET
Chen Huang, Dingxuan Wang, Ronghui Hou
https://arxiv.org/abs/2506.08038 https://arxiv…

Joint Routing and Control Optimization in VANET
In this paper, we introduce DynaRoute, an adaptive joint optimization framework for dynamic vehicular networks that simultaneously addresses platoon control and data transmission through trajectory-aware routing and safety-constrained vehicle coordination. DynaRoute guarantees continuous vehicle movement via platoon safety control with optimizing transmission paths through real-time trajectory prediction and ensuring reliable data. Our solution achieves three key objectives: (1) maintaining pla…

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David Heslop, Andreas Z\"ufle, Chandini Raina MacIntyre, Flora Salim
https://arxiv.org/abs/2506.09076

A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models
Pathogen genome data offers valuable structure for spatial models, but its utility is limited by incomplete sequencing coverage. We propose a probabilistic framework for inferring genetic distances between unsequenced cases and known sequences within defined transmission chains, using time-aware evolutionary distance modeling. The method estimates pairwise divergence from collection dates and observed genetic distances, enabling biologically plausible imputation grounded in observed divergence …

Green Shields: The Role of ESG in Uncertain Time
Fatih Kansoy, Dominykas Stasiulaitis
https://arxiv.org/abs/2506.02143 https://arxiv.…

Green Shields: The Role of ESG in Uncertain Time
The rapid growth of sustainable investing, now exceeding 35 trillion USD globally, has transformed financial markets, yet the implications for monetary policy transmission remain underexplored. While existing literature documents heterogeneous firm responses to monetary policy through traditional channels such as size and leverage, it remains unknown whether environmental, social, and governance (ESG) characteristics create distinct transmission mechanisms. Using high-frequency identification a…

Spin-orbit bi-colour modulation and analysis of structured light in a nonlinear optics experiment
Kiki Dekkers, Mwezi Koni, Vagharshak Hakobyan, Sachleen Singh, Jonathan Leach, Etienne Brasselet, Isaac Nape, Andrew Forbes
https://arxiv.org/abs/2506.10557

Spin-orbit bi-colour modulation and analysis of structured light in a nonlinear optics experiment
Here we propose the use of an adjustable liquid crystal spin-orbit device to shape and detect bi-colour structured light in a nonlinear optics framework. The spin-orbit device has an inhomogeneous optical axis orientation and birefringence, allowing it to modulate two wavelengths of light with pre-selected transmission functions by simply tuning a voltage. We combine this bi-colour functionality in a nonlinear optical experiment by employing three-wave mixing in a periodically poled crystal to …

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
N. J. Martin, A. J. Brash, A. Tomlinson, E. M. Sala, E. O. Mills, C. L. Phillips, R. Dost, L. Hallacy, P. Millington-Hotze, D. Hallett, K. A. O'Flaherty, J. Heffernan, M. S. Skolnick, A. M Fox, L. R. Wilson
https://arxiv.org/abs/2506.07951…

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
Telecom-wavelength quantum dots (QDs) are emerging as a promising solution for generating deterministic single-photons compatible with existing fiber-optic infrastructure. Emission in the low-loss C-band minimizes transmission losses, making them ideal for long-distance quantum communication. In this work, we present the first demonstration of both Stark tuning and charge state control of individual InAs/InP QDs operating within the telecom C-band. These QDs are grown by droplet epitaxy and emb…

This https://arxiv.org/abs/2503.01148 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qfi…

Dynamic spillovers and investment strategies across artificial intelligence ETFs, artificial intelligence tokens, and green markets
This paper investigates the risk spillovers among AI ETFs, AI tokens, and green markets using the R2 decomposition method. We reveal several key insights. First, the overall transmission connectedness index (TCI) closely aligns with the contemporaneous TCI, while the lagged TCI is significantly lower. Second, AI ETFs and clean energy act as risk transmitters, whereas AI tokens and green bond function as risk receivers. Third, AI tokens are difficult to hedge and provide limited hedging ability …

Compressing Hypergraphs using Suffix Sorting
Enno Adler, Stefan B\"ottcher, Rita Hartel
https://arxiv.org/abs/2506.05023 https://

Compressing Hypergraphs using Suffix Sorting
Hypergraphs model complex, non-binary relationships like co-authorships, social group memberships, and recommendations. Like traditional graphs, hypergraphs can grow large, posing challenges for storage, transmission, and query performance. We propose HyperCSA, a novel compression method for hypergraphs that maintains support for standard queries over the succinct representation. HyperCSA achieves compression ratios of 26% to 79% of the original file size on real-world hypergraphs - outperformi…

This https://arxiv.org/abs/2504.02856 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making
Algorithmic fairness is an expanding field that addresses a range of discrimination issues associated with algorithmic processes. However, most works in the literature focus on analyzing it only from an ethical perspective, focusing on moral principles and values that should be considered in the design and evaluation of algorithms, while disregarding the epistemic dimension related to knowledge transmission and validation. However, this aspect of algorithmic fairness should also be included in …

Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
Yi Song, Tianyu Yang, Mahdi Barzegar Khalilsarai, Giuseppe Caire
https://arxiv.org/abs/2506.10554

Downlink CSIT under Compressed Feedback: Joint vs. Separate Source-Channel Coding
The acquisition of Downlink (DL) channel state information at the transmitter (CSIT) is known to be a challenging task in multiuser massive MIMO systems when uplink/downlink channel reciprocity does not hold (e.g., in frequency division duplexing systems). From a coding viewpoint, the DL channel state acquired at the users via DL training can be seen as an information source that must be conveyed to the base station via the UL communication channels. The transmission of a source through a chann…

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new/
[1/1]:
On Secret-Message Transmission by Echoing Encrypted Probes
https…

This https://arxiv.org/abs/2504.10505 has been replaced.
initial toot: https://mastoxiv.page/@ar…

On sloshing in containers with porous baffles
Sloshing eigenvalues are studied for containers with porous baffles extending throughout the constant (possibly infinite) depth. The fluid transmission across the baffles is described by Darcy's law, and so the spectral problem is nonself-adjoint. In particular, much attention is paid to vertical cylinders with circular walls and radial baffles. Explicit solutions are obtained, whose crucial feature is that the corresponding pressure difference vanishes across the baffle. These real solutions c…

This https://arxiv.org/abs/2407.15109 has been replaced.
initial toot: https://mastoxiv.page/@a…

Entangled Photon-Pair Emission in Waveguide Circuit QED from a Cooper Pair Splitter
As a waveguide circuit QED architecture, we investigate theoretically the single-photon pair emission of a Cooper pair splitter composed of two double quantum dots, each coupled to a microwave transmission line. We find that this system can generate frequency-entangled photon pairs in the left and right transmission lines, specifically a superposition of two photon wave packets at different frequencies. The frequency entanglement of the two photons arises from the particle-hole coherent superpo…

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
Ryan Piansky, Rahul K. Gupta, Daniel K. Molzahn
https://arxiv.org/abs/2506.06687

Optimizing Battery and Line Undergrounding Investments for Transmission Systems under Wildfire Risk Scenarios: A Benders Decomposition Approach
With electric power infrastructure posing an increasing risk of igniting wildfires under continuing climate change, utilities are frequently de-energizing power lines to mitigate wildfire ignition risk, which can cause load shedding. Recent research advocates for installing battery energy storage systems as well as undergrounding risky overhead lines to reduce the load shedding during such de-energizations. Since wildfire ignition risk can exhibit substantial geographic and temporal variations,…

WASP-121b's transmission spectrum observed with JWST/NIRSpec G395H reveals thermal dissociation and SiO in the atmosphere
Cyril Gapp, Thomas M. Evans-Soma, Joanna K. Barstow, Joshua D. Lothringer, David K. Sing, Djemma Ruseva, Eva-Maria Ahrer, Jayesh M. Goyal, Duncan Christie, Laura Kreidberg, Nathan J. Mayne
https://arxiv.o…

WASP-121b's transmission spectrum observed with JWST/NIRSpec G395H reveals thermal dissociation and SiO in the atmosphere
WASP-121b has been established as a benchmark ultrahot Jupiter, serving as a laboratory for the atmospheric chemistry and dynamics of strongly irradiated extrasolar gas giants. Here, we present and analyze WASP-121b's transmission spectrum observed with NIRSpec G395H on board the James Webb Space Telescope and find evidence for the thermal dissociation of H$_2$O and H$_2$ on the planet's permanent dayside. Additionally, we detect SiO at a statistical significance of $5.2σ$ which is compatible …

B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining
Yimin Zhao, Weibo Wang, Xiong Wang, Linghe Kong, Jiadi Yu, Yifei Zhu, Shiyuan Li, Chong He, Guihai Chen
https://arxiv.org/abs/2505.24140

B2LoRa: Boosting LoRa Transmission for Satellite-IoT Systems with Blind Coherent Combining
With the rapid growth of Low Earth Orbit (LEO) satellite networks, satellite-IoT systems using the LoRa technique have been increasingly deployed to provide widespread Internet services to low-power and low-cost ground devices. However, the long transmission distance and adverse environments from IoT satellites to ground devices pose a huge challenge to link reliability, as evidenced by the measurement results based on our real-world setup. In this paper, we propose a blind coherent combining d…

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Shahram Pourdehghan, Nahideh Derakhshanfard
https://arxiv.org/abs/2506.05742

Malicious node aware wireless multi hop networks: a systematic review of the literature and recommendations for future research
Wireless communication provides great advantages that are not available through their wired counterparts such as flexibility, ease of deployment and use, cost reductions, and convenience. Wireless multi-hop networks (WMN) do not have any centralized management infrastructure. Wireless multi-hop networks have many benefits since proposed. In such networks when a node wants to send a packet to a destination where is not in the transmission range, depend on some intermediate nodes. In this type of…

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Gaurav Shukla, Shahram Panahiyan, Devendra Kumar Mishra, Frank Schlawin
https://arxiv.org/abs/2506.07384

Enhancing Measurement Precision of Non-Degenerate Two-Photon Absorption
Recent theoretical and experimental studies have shown that squeezed states of light can be engineered to enhance the resolution of nonlinear optical measurements. Here, we analyze non-degenerate two-photon absorption signals obtained from transmission measurements using two-mode squeezed light and compare different measurement strategies. In particular, we investigate how correlations between the light modes may be used to improve the achievable precision. We find that intensity correlation me…

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
Zhisheng Yin, Nan Cheng, Tom H. Luan, Mingjie Wang, Dongbo Li, Yiliang Liu, Changle Li
https://arxiv.org/abs/2506.00811

Conceal Truth while Show Fake: T/F Frequency Multiplexing based Anti-Intercepting Transmission
In wireless communication adversarial scenarios, signals are easily intercepted by non-cooperative parties, exposing the transmission of confidential information. This paper proposes a true-and-false (T/F) frequency multiplexing based anti-intercepting transmission scheme capable of concealing truth while showing fake (CTSF), integrating both offensive and defensive strategies. Specifically, through multi-source cooperation, true and false signals are transmitted over multiple frequency bands u…

Designing Corrosion-Resistant CoCrNi Medium Entropy Alloys via Short-Range Order Modification
Elaf A. Anber, Debashish Sur, Annie K. Barnett, Daniel L. Foley, Andrew M. Minor, Brian L. DeCost, Howie Joress, Anatoly I. Frenkel, Michael L. Falk, John R. Scully, Mitra L. Taheri
https://arxiv.org/abs/2506.09951

Designing Corrosion-Resistant CoCrNi Medium Entropy Alloys via Short-Range Order Modification
Equiatomic CoCrNi medium entropy alloys are known for their unique properties linked to chemical short-range order (CSRO), crucial in both percolation processes and/or nucleation and growth processes influencing alloy passivation in aqueous environments. This study combines extended x-ray absorption fine structure, atomistic simulations, electrochemical methods, x-ray photoelectron spectroscopy, and transmission electron microscopy to explore CSRO evolution, passive film formation, as well as i…

This https://arxiv.org/abs/2402.02793 has been replaced.
link: https://scholar.google.com/scholar?q=a

On the shape derivative of polygonal inclusions in the conductivity problem
We consider the conductivity problem for a homogeneous body with an inclusion of a different, but known, conductivity. Our interest concerns the associated shape derivative, i.e., the derivative of the corresponding electrostatic potential with respect to the shape of the inclusion. For a smooth inclusion it is known that the shape derivative is the solution of a specific inhomogeneous transmission problem. We show that this characterization of the shape derivative is also valid when the inclus…

Organic Crystal Active Waveguide as an All-Angle Signal Receiver and Transmission Platform for Visible Light Communication
Ankur Khapre, Jyotisman Hazarika, Rajadurai Chandrasekar
https://arxiv.org/abs/2506.04874

Organic Crystal Active Waveguide as an All-Angle Signal Receiver and Transmission Platform for Visible Light Communication
Organic crystal waveguides, known for excellent light-guiding and photonic versatility, present a promising alternative to conventional optical media in visible light communication (VLC) systems. In a novel approach, the high photoluminescence quantum yield organic crystal 2,2dash-((1E,1Edash)-hydrazine-1,2-diylidenebis(methaneylylidene))diphenol (SAA) is used as an optical waveguide medium for real-time data communication in the visible range, employing a microcontroller unit with on off keyin…

This https://arxiv.org/abs/2311.16593 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around identifying the genetic composition of the coronavirus, exhibiting a relatively low detection rate and requiring a time-intensive procedure. To address this challenge, experts have suggested using radiolo…

Do conditional cash transfers in childhood increase economic resilience in adulthood? Evidence from the COVID-19 pandemic shock in Ecuador
Jos\'e-Ignacio Ant\'on, Ruthy Intriago, Juan Ponce
https://arxiv.org/abs/2506.06903

Do conditional cash transfers in childhood increase economic resilience in adulthood? Evidence from the COVID-19 pandemic shock in Ecuador
The primary goal of conditional cash transfers (CCTs) is to alleviate short-term poverty while preventing the intergenerational transmission of deprivation by promoting the accumulation of human capital among children. Although a substantial body of research has evaluated the short-run impacts of CCTs, studies on their long-term effects are relatively scarce, and evidence regarding their influence on resilience to future economic shocks is limited. As human capital accumulation is expected to e…

Adaptive Bandwidth Sharing for Optimizing QoE of Real-Time Video
Sushi Anna George, Vinay Joseph
https://arxiv.org/abs/2506.09197 https://

Adaptive Bandwidth Sharing for Optimizing QoE of Real-Time Video
The concept of spectrum or bandwidth sharing has gained significant global attention as a means to enhance the efficiency of real-time traffic management in wireless networks. Effective bandwidth sharing enables optimal utilization of available resources, reducing congestion and improving QoE for delay-sensitive applications such as real-time video transmission. In this paper, we propose a novel iterative semi-static bandwidth sharing policy that balances the advantages of both static and dynam…

This https://arxiv.org/abs/2106.12331 has been replaced.
link: https://scholar.google.com/scholar?q=a

Optimal Transmission Switching: Improving Solver Performance Using Heuristics
The optimal transmission switching problem (OTSP) is an established problem of changing a power grid's topology to obtain an improved operation by controlling the switching status of transmission lines. This problem was proven to be NP-hard. Proposed solution techniques based on mixed-integer formulations can guarantee globally optimal solutions but are potentially intractable in realistic power grids. Heuristics methods cannot guarantee global optimality but can provide tractable solution appr…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Hansung Choi, Daewon Seo
https://arxiv.org/abs/2506.01269 https://…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless networks. However, current approaches primarily focus on enhancing average performance metrics, such as overall image reconstruction quality or task accuracy, which may not fully align with users' actual experience -- often driven by the quality of specific regions of interest (ROI). Motivated by this, we propose ROI-guided joint source-channel codi…

Replaced article(s) found for eess.SP. https://arxiv.org/list/eess.SP/new/
[1/1]:
Over-the-Air Learning-based Geometry Point Cloud Transmission
ht…

Record-Breaking 1935.6 bit/s/Hz Spectral Efficiency in 19-Ring-Core Fiber Transmission of GMI-Estimated 25.24 Pb/s Capacity Using Low-Complexity 4x4 MIMO
Hualin Li, Junyi Liu, Jie Liu, Shuqi Mo, Haolin Zhou, Yuming Huang, Yining Huang, Lei Shen, Shuo Xu, Lei Zhang, Jie Luo, Zhaohui Li, Siyuan Yu
https://arxiv.org/abs/2506.04910

Record-Breaking 1935.6 bit/s/Hz Spectral Efficiency in 19-Ring-Core Fiber Transmission of GMI-Estimated 25.24 Pb/s Capacity Using Low-Complexity 4x4 MIMO
We achieve a record spectral efficiency of 1935.6 bit/s/Hz in the C+L bands in a 10-km 19-ring-core fiber supporting 266 OAM modes. GMI-estimated capacity of 25.24 Pb/s are transmitted using low-complexity 4x4 MIMO.

The Use of Alendronate to Enhance Transcranial Transmission of Focused Ultrasound for Successful Ablations in Brain
G. Sakharova, A. Krokhmal, R. Galimova, A. Khatmullina, D. Nabiullina, I. Buzaev, D. Avzaletdinova, D. Chupova, V. Khokhlova
https://arxiv.org/abs/2505.24349

The Use of Alendronate to Enhance Transcranial Transmission of Focused Ultrasound for Successful Ablations in Brain
Objective: The aim of this study was to evaluate the efficacy of alendronate therapy in improving bone density distribution in skull bones and corresponding ultrasound permeability in patients who had previously experienced unsuccessful transcranial MR-guided focused ultrasound (MRgFUS) ablation. The ability of alendronate treatment to modify skull bone characteristics and enhance the success rate of repeat MRgFUS procedures was assessed. Methods: Five patients with initially unsuccessful MRg…

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…

Age of Information in Unreliable Tandem Queues
Muthukrishnan Senthilkumar, Aresh Dadlani, Hina Tabassum
https://arxiv.org/abs/2506.09245 https://

Age of Information in Unreliable Tandem Queues
Stringent demands for timely information delivery, driven by the widespread adoption of real-time applications and the Internet of Things, have established the age of information (AoI) as a critical metric for quantifying data freshness. Existing AoI models often assume multi-hop communication networks with fully reliable nodes, which may not accurately capture scenarios involving node transmission failures. This paper presents an analytical framework for two configurations of tandem queue syst…

Distributed Image Semantic Communication via Nonlinear Transform Coding
Yufei Bo, Meixia Tao, Kai Niu
https://arxiv.org/abs/2506.07391 https://

Distributed Image Semantic Communication via Nonlinear Transform Coding
This paper investigates distributed source-channel coding for correlated image semantic transmission over wireless channels. In this setup, correlated images at different transmitters are separately encoded and transmitted through dedicated channels for joint recovery at the receiver. We propose a general approach for distributed image semantic communication that applies to both separate source and channel coding (SSCC) and joint source-channel coding (JSCC). Unlike existing learning-based appr…

NLTE atmospheric modelling of the ultra-hot Jupiter WASP-178b and comparison with UV and optical observations
L. Fossati, A. G. Sreejith, T. Koskinen, A. Bonfanti, D. Shulyak, F. Borsa, S. P. D. Borthakur, P. E. Cubillos, M. E. Young
https://arxiv.org/abs/2506.01132

NLTE atmospheric modelling of the ultra-hot Jupiter WASP-178b and comparison with UV and optical observations
We model the atmosphere of the ultra-hot Jupiter (UHJ) WASP-178b accounting for NLTE effects and compare synthetic transmission spectra with NUV and optical observations. We use the HELIOS code (LTE) in the lower and the Cloudy code (LTE or NLTE) in the middle and upper atmosphere to compute the temperature-pressure (TP) and abundance profiles. We further use Cloudy to compute the theoretical planetary transmission spectrum both in LTE and NLTE for comparison with observations. We find an isoth…

Imaging 3D polarization dynamics via deep learning 4D-STEM
Jinho Byun, Keeyong Lee, Myoungho Jeong, Eunha Lee, Jeongil Bang, Haeryong Kim, Geun Ho Gu, Sang Ho Oh
https://arxiv.org/abs/2506.06598

Imaging 3D polarization dynamics via deep learning 4D-STEM
Recent advances in ferroelectrics highlight the role of three-dimensional (3D) polar entities in forming topological polar textures and generating giant electromechanical responses, during polarization rotation. However, current electron microscopy methods lack the depth resolution to resolve the polarization component along the electron beam direction, which restricts full characterization. Here, we present a deep learning framework combined with four-dimensional scanning transmission electron…

Coordinated Multi-BS SSB Beam Design for Enhanced Initial Access Coverage
Hakime BarghiZanjani, Bikshapathi Gouda, Antti T\"olli
https://arxiv.org/abs/2506.02760

Coordinated Multi-BS SSB Beam Design for Enhanced Initial Access Coverage
Ensuring strong synchronization signal block (SSB) coverage is essential for reliable user equipment (UE) connection during initial access. While techniques such as power boosting and network densification are commonly used, this work explores joint transmission (JT) of SSBs as an alternative to enhance coverage. Although JT is widely applied in data transmission, its use for SSBs has not been explored due to the lack of channel state information, which prevents coherent signal alignment across…

Formalizing Neuromorphic Control Systems: A General Proposal and A Rhythmic Case Study
Taisia Medvedeva, Alessio Franci, Fernando Casta\~nos
https://arxiv.org/abs/2506.10203

Formalizing Neuromorphic Control Systems: A General Proposal and A Rhythmic Case Study
Neuromorphic control is receiving growing attention due to the multifaceted advantages it brings over more classical control approaches, including: sparse and on-demand sensing, information transmission, and actuation; energy-efficient designs and realizations in neuromorphic hardware; event-based signal processing and control signal computation. However, a general control-theoretical formalization of what "neuromorphic control systems" are and how we can rigorously analyze, design, and control…

MIMO Pinching-Antenna-Aided SWIPT
Haoyun Li, Zhonghao Lyu, Yulan Gao, Ming Xiao, H. Vincent Poor
https://arxiv.org/abs/2506.06754 https://

MIMO Pinching-Antenna-Aided SWIPT
Pinching-antenna systems (PASS) have recently emerged as a promising technology for improving wireless communications by establishing or strengthening reliable line-of-sight (LoS) links by adjusting the positions of pinching antennas (PAs). Motivated by these benefits, we propose a novel PASS-aided multi-input multi-output (MIMO) system for simultaneous wireless information and power transfer (SWIPT), where the PASS are equipped with multiple waveguides to provide information transmission and w…

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

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

Electromagnetically induced grating based on strongly coupled disperse red1 molecules
Xiaotong Bu, Jingsong Yuan, Chunliang Wang
https://arxiv.org/abs/2506.07063

Electromagnetically induced grating based on strongly coupled disperse red1 molecules
In this study, optically responsive exciton-polariton were generated via strong coupling between DR1 molecules and an F-P microcavity. An electromagnetically induced grating (EIG) was constructed using two-beam interference to investigate EP modulation effects.EP formation was confirmed by transmission spectroscopy, angle-dependent measurements, and k-space reflection. Rabi splitting increased with DR1 concentration, indicating enhanced light-matter interaction. Under 532 nm laser illumination,…

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
Dhrumil Bhatt, Nirbhay Singhal
https://arxiv.org/abs/2506.09817 https://

Enhanced V2X Communication Using Game-Theory Based Adaptive MAC Protocols
This paper presents an enhanced Vehicle-to-Everything (V2X) communication system featuring adaptive Medium Access Control (MAC) using game theory. Our approach integrates dynamic transmission power control, dynamic beacon rates, contention window adaptation, and implicit acknowledgment mechanisms within a Manhattan-like grid-based mobility scenario. Simulations are conducted in a circular coverage area, incorporating refined signal propagation models and probabilistic vehicle mobility with boun…

Purcell Enhancement and Suppression in Laser Cooling of Yb$^{3 }$:YLF Nanocrystals in a Fabry-P\'erot Microcavity
Lucas Mendicino, Franco Mayo, Christian Schmiegelow, Augusto Roncaglia
https://arxiv.org/abs/2505.24083

Purcell Enhancement and Suppression in Laser Cooling of Yb$^{3+}$:YLF Nanocrystals in a Fabry-Pérot Microcavity
We investigate the improvement of anti-Stokes laser cooling of a Yb$^{3+}$:YLF nanocrystal in a Fabry-Pérot microcavity via the Purcell effect. Our analysis accounts for both the enhancement of emission lines resonant with the cavity transmission and the suppression of off-resonance emissions. Using a quantum-mechanical framework, we modeled the Yb$^{3+}$ ions in a YLiF$_4$ matrix and the laser system to calculate the minimum achievable temperature and cooling efficiency, incorporating cavity-…

The James Webb Space Telescope NIRSpec-PRISM Transmission Spectrum of the Super-Puff, Kepler-51d
Jessica E. Libby-Roberts, Aaron Bello-Arufe, Zachory K. Berta-Thompson, Caleb I. Ca\~nas, Yayaati Chachan, Renyu Hu, Yui Kawashima, Catriona Murray, Kazumasa Ohno, Armen Tokadjian, Suvrath Mahadevan, Kento Masuda, Leslie Hebb, Caroline Morley, Guangwei Fu, Peter Gao, Kevin B. Stevenson

The James Webb Space Telescope NIRSpec-PRISM Transmission Spectrum of the Super-Puff, Kepler-51d
Kepler-51 is a 500 Myr G dwarf hosting three "super-puffs" and one low-mass non-transiting planet. Kepler-51d, the coolest (T_eq ~ 350 K) transiting planet in this system, is also one of the lowest density super-puffs known to date (rho_p = 0.038 +/- 0.009 g/cm^3). With a planetary mass of Mp = 5.6 +/- 1.2 Earth masses and a radius of Rp = 9.32 +/- 0.18 Earth radii, the observed properties of this planet are not readily explained by most planet formation theories. Hypotheses explaining Kepler-5…

This https://arxiv.org/abs/2501.01271 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Energy-and Spectral-Efficiency Trade-off in Distributed Massive-MIMO Networks
This paper investigates a fundamental yet under-explored trade-off between energy efficiency (EE) and spectral efficiency (SE) in distributed massive MIMO (D-mMIMO) systems. Unlike conventional EE-SE trade-off studies that primarily focus on transmission power, D-mMIMO systems introduce new energy consumption factors including fronthaul signaling and distributed signal processing, which are heavily influenced by AP-UE association. This work highlights the critical need for a system-level EE-SE …

Broadband Low-loss Unidirectional Reflection On-chip with Asymmetric Dielectric Metasurface
Heijun Jeong, Zeki Hayran, Yuan Liu, Yahui Xiao, Hwaseob Lee, Zi Wang, Jonathan Klamkin, Francesco Monticone, Tingyi Gu
https://arxiv.org/abs/2506.06872

Broadband Low-loss Unidirectional Reflection On-chip with Asymmetric Dielectric Metasurface
Metasurface has emerged as a powerful platform for controlling light at subwavelength thickness, enabling new functionalities for imaging, polarization manipulation, and angular momentum conversion within a flat surface. We explored an integrated asymmetric metasurface simultaneously achieving broadband, low loss forward power transmission, and significant back reflection sup-pression in multi-mode waveguides. The tapering along the direction of light propagation leads to low loss and space-eff…

Channel Estimation with Asynchronous Reception for User-Centric Cell-Free MIMO Systems
Xuyang Sun, Hussein A. Ammar, Raviraj Adve, Israfil Bahceci, Gary Boudreau
https://arxiv.org/abs/2506.05496

Channel Estimation with Asynchronous Reception for User-Centric Cell-Free MIMO Systems
The user-centric, cell-free wireless network is a promising next-generation communication system, but signal synchronization issues arise due to distributed access points and lack of cellular structure. We propose a novel method to recover synchronous pilot reception by introducing new pilot sequences and a matched filter window, enabling orthogonality even with asynchronous reception. Our approach mimics synchronous transmission by extending training sequences. Analysis shows asynchronous rece…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
Luiza Ribeiro, Alexandre Street, Jose Manuel Arroyo, Rodrigo Moreno
https://arxiv.org/abs/2505.24159

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

This https://arxiv.org/abs/2312.09720 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

RIS-Enabled NLoS Near-Field Joint Position and Velocity Estimation under User Mobility
In the context of single-base station (BS) non-line-of-sight (NLoS) single-epoch localization with the aid of a reflective reconfigurable intelligent surface (RIS), this paper introduces a novel three-step algorithm that jointly estimates the position and velocity of a mobile user equipment (UE), while compensating for the Doppler effects observed in near-field (NF) at the RIS elements over the short transmission duration of a sequence of downlink (DL) pilot symbols. First, a low-complexity ini…

This https://arxiv.org/abs/2501.08301 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

A Disintegrating Rocky World Shrouded in Dust and Gas: Mid-IR Observations of K2-22b using JWST
The disintegrating ultra-short period rocky exoplanet K2-22b periodically emits dusty clouds in a dynamically chaotic process resulting in a variable transit depth from 0-1.3%. The effluents that sublimate off the surface and condense out in space are probably representative of the formerly interior layers convectively transported to the molten surface. Transmission spectroscopy of these transiting clouds reveal spectral fingerprints of the interior composition of this rocky world. We used JWST…

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
Yuyan Lin (Charlie), Hao Zhou (Charlie), Chengming Hu (Charlie), Xue Liu (Charlie), Hao Chen (Charlie), Yan Xin (Charlie), Jianzhong (Charlie), Zhang
https://arxiv.org/abs/2506.06519…

Hierarchical Debate-Based Large Language Model (LLM) for Complex Task Planning of 6G Network Management
6G networks have become increasingly complicated due to novel network architecture and newly emerging signal processing and transmission techniques, leading to significant burdens to 6G network management. Large language models (LLMs) have recently been considered a promising technique to equip 6G networks with AI-native intelligence. Different from most existing studies that only consider a single LLM, this work involves a multi-LLM debate-based scheme for 6G network management, where multiple…

On the Performance of Pinching-Antenna Systems (PASS) with Orthogonal and Non-Orthogonal Multiple Access
Yanyu Cheng, Chongjun Ouyang, Yuanwei Liu, George K. Karagiannidis
https://arxiv.org/abs/2506.02420

On the Performance of Pinching-Antenna Systems (PASS) with Orthogonal and Non-Orthogonal Multiple Access
This paper conducts a comprehensive performance analysis for pinching-antenna systems (PASS) under both orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) transmission. Given the cost of waveguides, we consider a scenario where the waveguide is not deployed in all rooms, i.e., some users are beyond the line-of-sight (LoS) link service area of the PASS. Specifically, we consider a PASS where a pinching antenna in one room serves two users located in separate rooms. The wi…

This https://arxiv.org/abs/2504.20618 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Statistical Channel Based Low-Complexity Rotation and Position Optimization for 6D Movable Antennas Enabled Wireless Communication
Six-dimensional movable antenna (6DMA) is a promising technology to fully exploit spatial variation in wireless channels by allowing flexible adjustment of three-dimensional (3D) positions and rotations of antennas at the transceiver. In this paper, we investigate the practical low-complexity design of 6DMA-enabled communication systems, including transmission protocol, statistical channel information (SCI) acquisition, and joint position and rotation optimization of 6DMA surfaces based on the …

Distributionally Robust Wireless Semantic Communication with Large AI Models
Long Tan Le, Senura Hansaja Wanasekara, Zerun Niu, Yansong Shi, Nguyen H. Tran, Phuong Vo, Walid Saad, Dusit Niyato, Zhu Han, Choong Seon Hong, H. Vincent Poor
https://arxiv.org/abs/2506.03167

Distributionally Robust Wireless Semantic Communication with Large AI Models
6G wireless systems are expected to support massive volumes of data with ultra-low latency. However, conventional bit-level transmission strategies cannot support the efficiency and adaptability required by modern, data-intensive applications. The concept of semantic communication (SemCom) addresses this limitation by focusing on transmitting task-relevant semantic information instead of raw data. While recent efforts incorporating deep learning and large-scale AI models have improved SemCom's …

This https://arxiv.org/abs/2505.24159 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

A Causation-Based Framework for Pricing and Cost Allocation of Energy, Reserves, and Transmission in Modern Power Systems
The increasing vulnerability of power systems has heightened the need for operating reserves to manage contingencies such as generator outages, line failures, and sudden load variations. Unlike energy costs, driven by consumer demand, operating reserve costs arise from addressing the most critical credible contingencies - prompting the question: how should these costs be allocated through efficient pricing mechanisms? As an alternative to previously reported schemes, this paper presents a new c…

This https://arxiv.org/abs/2408.06208 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Event-triggered moving horizon estimation for nonlinear systems
This work proposes an event-triggered moving horizon estimation (ET-MHE) scheme for general nonlinear systems. The key components of the proposed scheme are a novel event-triggering mechanism (ETM) and the suitable design of the MHE cost function. The main characteristic of our method is that the MHE's nonlinear optimization problem is only solved when the ETM triggers the transmission of measured data to the remote state estimator. If no event occurs, then the current state estimate results fr…