Tootfinder

Nuclear War is still on the agenda but no one is talking about it.
https://www.theguardian.com/books/2024/mar/31/annie-jacobsen-nuclear-war-scenario

This https://arxiv.org/abs/2404.09709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampers the model's ability to accurately model the user interest migration across different scenarios. To enhance the model's capacity to capture user interests from historical behavior sequences in each scenario, we develop a ranking framework named the Scenario-Adaptive Fine-Grained Personalization Network (SFPNet), whi…

Europe in ‘pre-war’ era, warns Tusk, says ‘literally any scenario is possible’: https://benborges.xyz/2024/03/30/europe-in-prewar.html

FedStruct: Federated Decoupled Learning over Interconnected Graphs
Javad Aliakbari, Johan \"Ostman, Alexandre Graell i Amat
https://arxiv.org/abs/2402.19163

FedStruct: Federated Decoupled Learning over Interconnected Graphs
We address the challenge of federated learning on graph-structured data distributed across multiple clients. Specifically, we focus on the prevalent scenario of interconnected subgraphs, where inter-connections between different clients play a critical role. We present a novel framework for this scenario, named FedStruct, that harnesses deep structural dependencies. To uphold privacy, unlike existing methods, FedStruct eliminates the necessity of sharing or generating sensitive node features or…

A friend on FB pointed out, “Wow. Someone's pooping, and you can't go to bed."
LMAO I hadn't thought of that scenario! Yeah - it's a SHITTY floor plan. https://mastodon.social/@KingShawn/112192921207912061

Talked about this very scenario in class on Monday.
From: @…
https://mastodon.world/@LumenDatabase/112016575867389582…

Nomads of Driftland: The Forgotten Passage
Nomads: The Forgotten Passage is the scenario pack for Nomads of Driftland.

Includes ten new scenarios:
- The Long-awaited ally
- The sources
- Dwarven solidarity
- Gold rush
- Forsaken Wastes
- Large-scale encounter
- Ancient knowledge
- From ashes to bones
- Path clearing
- Forgotten passage

This https://arxiv.org/abs/2404.09709 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampers the model's ability to accurately model the user interest migration across different scenarios. To enhance the model's capacity to capture user interests from historical behavior sequences in each scenario, we develop a ranking framework named the Scenario-Adaptive Fine-Grained Personalization Network (SFPNet), whi…

This https://arxiv.org/abs/2404.09131 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Design of Artificial Interference Signals for Covert Communication Aided by Multiple Friendly Nodes
In this paper, we consider a scenario of covert communication aided by multiple friendly interference nodes. The objective is to conceal the legitimate communication link under the surveillance of a warden. The main content is as follows: first, we propose a novel strategy for generating artificial noise signals in the considered covert scenario. Then, we leverage the statistical information of channel coefficients to optimize the basis matrix of the artificial noise signals space in the absenc…

This https://arxiv.org/abs/2402.09503 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Exploring the Flavor Symmetry Landscape
We explore flavor dynamics in the broad scenario of a strongly interacting light Higgs (SILH). Our study focuses on the mechanism of partial fermion compositeness, but is otherwise as systematic as possible. Concretely, we classify the options for the underlying flavor (and CP) symmetries, which are necessary in order to bring this scenario safely within the range of present or future explorations. Our main goal in this context is to provide a practical map between the space of hypotheses (the …

Federated Learning for Blind Image Super-Resolution
Brian B. Moser, Ahmed Anwar, Federico Raue, Stanislav Frolov, Andreas Dengel
https://arxiv.org/abs/2404.17670 https://arxiv.org/pdf/2404.17670
arXiv:2404.17670v1 Announce Type: new
Abstract: Traditional blind image SR methods need to model real-world degradations precisely. Consequently, current research struggles with this dilemma by assuming idealized degradations, which leads to limited applicability to actual user data. Moreover, the ideal scenario - training models on data from the targeted user base - presents significant privacy concerns. To address both challenges, we propose to fuse image SR with federated learning, allowing real-world degradations to be directly learned from users without invading their privacy. Furthermore, it enables optimization across many devices without data centralization. As this fusion is underexplored, we introduce new benchmarks specifically designed to evaluate new SR methods in this federated setting. By doing so, we employ known degradation modeling techniques from SR research. However, rather than aiming to mirror real degradations, our benchmarks use these degradation models to simulate the variety of degradations found across clients within a distributed user base. This distinction is crucial as it circumvents the need to precisely model real-world degradations, which limits contemporary blind image SR research. Our proposed benchmarks investigate blind image SR under new aspects, namely differently distributed degradation types among users and varying user numbers. We believe new methods tested within these benchmarks will perform more similarly in an application, as the simulated scenario addresses the variety while federated learning enables the training on actual degradations.

Advancing BDD Software Testing: Dynamic Scenario Re-Usability And Step Auto-Complete For Cucumber Framework
A. H. Mughal
https://arxiv.org/abs/2402.15928 h…

Advancing BDD Software Testing: Dynamic Scenario Re-Usability And Step Auto-Complete For Cucumber Framework
This paper presents and implements the re-usability of scenarios within scenarios for behavior-driven development (BDD) Gherkin test scripts in the Cucumber Java framework. Though the focus of the presented work is on scenario re-usability through an implementation within the Cucumber BDD Java framework, the paper also dives a little into the limitations of Cucumber single-threaded scenario execution model. This implementation increases the modularity and efficiency of the test suite. The paper…

Navigating Hallucinations for Reasoning of Unintentional Activities
Shresth Grover, Vibhav Vineet, Yogesh S Rawat
https://arxiv.org/abs/2402.19405 https://…

Navigating Hallucinations for Reasoning of Unintentional Activities
In this work we present a novel task of understanding unintentional human activities in videos. We formalize this problem as a reasoning task under zero-shot scenario, where given a video of an unintentional activity we want to know why it transitioned from intentional to unintentional. We first evaluate the effectiveness of current state-of-the-art Large Multimodal Models on this reasoning task and observe that they suffer from hallucination. We further propose a novel prompting technique,term…

Scaling up critical minerals supply in time to meet rising needs is essential to the success of #batteries
In one Scenario, demand for critical minerals for batteries expands rapidly by 2030,
with #manganese, #lithium, …

Executive summary – Batteries and Secure Energy Transitions – Analysis - IEA
Batteries and Secure Energy Transitions - Analysis and key findings. A report by the International Energy Agency.

Positive and non-positive measurements in energy extraction from quantum batteries
Paranjoy Chaki, Aparajita Bhattacharyya, Kornikar Sen, Ujjwal Sen
https://arxiv.org/abs/2404.18745

Positive and non-positive measurements in energy extraction from quantum batteries
We extend the concept of stochastic energy extraction from quantum batteries to the scenario where both positive operator-valued (POV) and physically realizable non-positive operator-valued measurements are applied (NPOVMs) on the auxiliary connected to the battery in presence of noise. The process involves joint evolution of the battery and the auxiliary for a particular time interval, an interaction of the auxiliary with its environment which induces noise in the auxiliary, and performing a P…

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Shaoyang Xu, Weilong Dong, Zishan Guo, Xinwei Wu, Deyi Xiong
https://arxiv.org/abs/2402.18120

Exploring Multilingual Human Value Concepts in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?
Prior research in representation engineering has revealed that LLMs encode concepts within their representation spaces, predominantly centered around English. In this study, we extend this philosophy to a multilingual scenario, delving into multilingual human value concepts in LLMs. Through our comprehensive exploration covering 7 types of human values, 16 languages and 3 LLM series with distinct multilinguality, we empirically substantiate the existence of multilingual human values in LLMs. Fu…

‘Best-Case’ for Raiders is Poised 45-TD Quarterback: PFF https://heavy.com/sports/las-vegas-raiders/quarterback-draft-bo-nix/?adt_ei=[email]

'Best-Case' for Raiders is Poised 45-TD Quarterback: PFF
Raiders quarterback remains a position in flux, but PFF says drafting Oregon's Bo Nix could be a "best-case scenario."

This https://arxiv.org/abs/2404.14817 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Quantitative Evaluation of driver's situation awareness in virtual driving through Eye tracking analysis
In driving tasks, the driver's situation awareness of the surrounding scenario is crucial for safety driving. However, current methods of measuring situation awareness mostly rely on subjective questionnaires, which interrupt tasks and lack non-intrusive quantification. To address this issue, our study utilizes objective gaze motion data to provide an interference-free quantification method for situation awareness. Three quantitative scores are proposed to represent three different levels of aw…

Zonder verdere escalatie (het best case scenario) wordt het totaal aantal doden tegen de zomer geschat op 100 000. Honderd. Duizend.
https://www.newyorker.com/news/q-and-a/the-humanitarian-catastrophe-in-gaza-can-only-get-worse

Choosing a consultant in a dynamic investment problem
Yuval Cornfeld, Ehud Lehrer, Eilon Solan
https://arxiv.org/abs/2404.19507 https://

Choosing a consultant in a dynamic investment problem
Consider a dynamic decision-making scenario where at every stage the investor has to choose between investing in one of two projects or gathering more information. At each stage, the investor may seek counsel from one of several consultants, who, for a fixed cost, provide partial information about the realized state. We explore the optimal strategy and its dependence on the belief and the consultation cost. Our analysis reveals that if one of the consultants discloses the state with a nonzero p…

This https://arxiv.org/abs/2309.14685 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

DriveSceneGen: Generating Diverse and Realistic Driving Scenarios from Scratch
Realistic and diverse traffic scenarios in large quantities are crucial for the development and validation of autonomous driving systems. However, owing to numerous difficulties in the data collection process and the reliance on intensive annotations, real-world datasets lack sufficient quantity and diversity to support the increasing demand for data. This work introduces DriveSceneGen, a data-driven driving scenario generation method that learns from the real-world driving dataset and generate…

This https://arxiv.org/abs/2306.05208 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

PriSampler: Mitigating Property Inference of Diffusion Models
Diffusion models have been remarkably successful in data synthesis. However, when these models are applied to sensitive datasets, such as banking and human face data, they might bring up severe privacy concerns. This work systematically presents the first privacy study about property inference attacks against diffusion models, where adversaries aim to extract sensitive global properties of its training set from a diffusion model. Specifically, we focus on the most practical attack scenario: adv…

This https://arxiv.org/abs/2401.16905 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Emulating dark energy models with known equation of state via the created cold dark matter scenario
In this work we establish only at background dynamics level, the equivalence between the Created Cold Dark Matter (CCDM) model and diverse dark energy (DE) models. We find that for a barotropic or linear equation of state (EoS) for the DE, $p=w ρ$, and standard matter sector the corresponding CCDM model is described by the same functional structure of the ratio of particle production, $Γ$. For a different EoS the functional form of the $Γ$ term is not longer maintained, however, in the case …

Dallas Cowboys stumble upon best case scenario in A to Z Sports' 2024 NFL mock draft https://www.yardbarker.com/nfl/articles/dallas_cowboys_stumble_upon_best_case_scenario_in_a_to_z_sports_…

Dallas Cowboys stumble upon best case scenario in A to Z Sports' 2024 NFL mock draft
Our very first collective A to Z Sports' NFL mock draft is out now and I got to sit in the imaginary general manager chair for the Dallas Cowboys. Each pick was made by a beat writer focused on the corresponding team and when the Cowboys were on the clock to make a pick at 24th overall, it didn't take long for me to write the name on the card. In fact, the selection fit right into both team need and best player available so it was somewhat of a no-brainer.  Below is the breakdown of why I mad…

This https://arxiv.org/abs/2305.08356 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Tidal Spin-up of Black Hole Progenitor Stars
Gravitational wave observations indicate the existence of merging black holes (BHs) with high spin ($a\gtrsim0.3$), whose formation pathways are still an open question. A possible way to form those binaries is through the tidal spin-up of a Wolf-Rayet (WR) star by its BH companion. In this work, we investigate this scenario by directly calculating the tidal excitation of oscillation modes in WR star models, determining the tidal spin-up rate, and integrating the coupled spin-orbit evolution for…

Quintom cosmology and modified gravity after DESI 2024
Yuhang Yang, Xin Ren, Qingqing Wang, Zhiyu Lu, Dongdong Zhang, Yi-Fu Cai, Emmanuel N. Saridakis
https://arxiv.org/abs/2404.19437

Quintom cosmology and modified gravity after DESI 2024
We reconstruct the cosmological background evolution under the scenario of dynamical dark energy through the Gaussian process approach, using the latest Dark Energy Spectroscopic Instrument (DESI) baryon acoustic oscillations (BAO) \cite{DESI:2024mwx} combined with other observations. Our results reveal that the reconstructed dark-energy equation-of-state (EoS) parameter $w(z)$ exhibits the so-called quintom-B behavior, crossing $-1$ from phantom to quintessence regime as the universe expands. …

Recent Neutrino Parameters Impact on the Effective Majorana Neutrino Mass in 0$\nu\beta\beta$ Decay
Dongming Mei, Kunming Dong, Austin Warren, Sanjay Bhattarai
https://arxiv.org/abs/2404.19624 https://arxiv.org/pdf/2404.19624
arXiv:2404.19624v1 Announce Type: new
Abstract: We investigate how recent updates to neutrino oscillation parameters and the sum of neutrino masses influence the sensitivity of neutrinoless double-beta (0$\nu\beta\beta$) decay experiments. Incorporating the latest cosmological constraints on the sum of neutrino masses and laboratory measurements on oscillations, we determine the sum of neutrino masses for both the normal hierarchy (NH) and the inverted hierarchy (IH). Our analysis reveals a narrow range for the sum of neutrino masses, approximately 0.06 eV/c$^2$ for NH and 0.102 eV/c$^2$ for IH. Utilizing these constraints, we calculate the effective Majorana masses for both NH and IH scenarios, establishing the corresponding allowed regions. Importantly, we find that the minimum neutrino mass is non-zero, as constrained by the current oscillation parameters. Additionally, we estimate the half-life of 0$\nu\beta\beta$ decay using these effective Majorana masses for both NH and IH. Our results suggest that upcoming ton-scale experiments will comprehensively explore the IH scenario, while 100-ton-scale experiments will effectively probe the parameter space for the NH scenario, provided the background index can achieve 1 event/kton-year in the region of interest.

JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
Aurora Ram\'irez, Jos\'e Ra\'ul Romero, Carlos Garc\'ia-Mart\'inez, Sebasti\'an Ventura
https://arxiv.org/abs/2402.18616

JCLEC-MO: a Java suite for solving many-objective optimization engineering problems
Although metaheuristics have been widely recognized as efficient techniques to solve real-world optimization problems, implementing them from scratch remains difficult for domain-specific experts without programming skills. In this scenario, metaheuristic optimization frameworks are a practical alternative as they provide a variety of algorithms composed of customized elements, as well as experimental support. Recently, many engineering problems require to optimize multiple or even many objecti…

Total Completion Time Scheduling Under Scenarios
Thomas Bosman, Martijn van Ee, Ekin Ergen, Csanad Imreh, Alberto Marchetti-Spaccamela, Martin Skutella, Leen Stougie
https://arxiv.org/abs/2402.19259

Total Completion Time Scheduling Under Scenarios
Scheduling jobs with given processing times on identical parallel machines so as to minimize their total completion time is one of the most basic scheduling problems. We study interesting generalizations of this classical problem involving scenarios. In our model, a scenario is defined as a subset of a predefined and fully specified set of jobs. The aim is to find an assignment of the whole set of jobs to identical parallel machines such that the schedule, obtained for the given scenarios by si…

Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
Pablo Fondo-Ferreiro, David Candal-Ventureira, Francisco Javier Gonz\'alez-Casta\~no, Felipe Gil-Casti\~neira
https://arxiv.org/abs/2403.19730

Latency Reduction in Vehicular Sensing Applications by Dynamic 5G User Plane Function Allocation with Session Continuity
Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, we considered a vehicular sensing scenario supported by 5G communications, in which vehicle sensor data need to be sent to edge computing resources with stringent latency constraints. To ensure low latency with the resources available, we propose an optimization framework that deploys User Pla…

High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
Kazuma Sawaya, Yoshimasa Uematsu, Masaaki Imaizumi
https://arxiv.org/abs/2404.17812

High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
This study proposes a novel method for estimation and hypothesis testing in high-dimensional single-index models. We address a common scenario where the sample size and the dimension of regression coefficients are large and comparable. Unlike traditional approaches, which often overlook the estimation of the unknown link function, we introduce a new method for link function estimation. Leveraging the information from the estimated link function, we propose more efficient estimators that are bet…

This https://arxiv.org/abs/2403.09840 has been replaced.
initial toot: https://mastoxiv.page/@a…

Dark versus blocking states in electronic transport: a Lee-Yang zero analysis of full counting statistics
Electronic transport through nanostructures can be suppressed by coherent population trapping, in which quantum coherence leads to a dark state that decouples from the drain electrode. Finite transport, then, relies on decoherence of the dark state. An alternative scenario for reduced transport is weak coupling of a state, referred to as a blocking state, to the drain. This raises the question of whether and how these two scenarios can be distinguished in the transport features. For the example…

Zonder verdere escalatie (het best case scenario) wordt het totaal aantal doden tegen de zomer geschat op 100 000. Honderd. Duizend.
https://www.newyorker.com/news/q-and-a/the-humanitarian-catastrophe-in-gaza-can-only-get-worse

Timely Status Updates in Slotted ALOHA Network With Energy Harvesting
Khac-Hoang Ngo, Giuseppe Durisi, Andrea Munari, Francisco L\'azaro, Alexandre Graell i Amat
https://arxiv.org/abs/2404.18990

Timely Status Updates in Slotted ALOHA Network With Energy Harvesting
We investigate the age of information (AoI) in a scenario where energy-harvesting devices send status updates to a gateway following the slotted ALOHA protocol and receive no feedback. We let the devices adjust the transmission probabilities based on their current battery level. Using a Markovian analysis, we derive analytically the average AoI. We further provide an approximate analysis for accurate and easy-to-compute approximations of both the average AoI and the age-violation probability (A…

Formalized Identification Of Key Factors In Safety-Relevant Failure Scenarios
Tim Maurice Julitz, Nadine Schl\"uter, Manuel L\"ower
https://arxiv.org/abs/2402.18194

Formalized Identification Of Key Factors In Safety-Relevant Failure Scenarios
This research article presents a methodical data-based approach to systematically identify key factors in safety-related failure scenarios, with a focus on complex product-environmental systems in the era of Industry 4.0. The study addresses the uncertainty arising from the growing complexity of modern products. The method uses scenario analysis and focuses on failure analysis within technical product development. The approach involves a derivation of influencing factors based on information fr…

#DreamScenario goes way beyond #ThisMan. It’s a commentary on #CancelCulture. Currently on MAX.

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Josh Andres, Chris Danta, Andrea Bianchi, Sungyeon Hong, Zhuying Li, Eduardo B. Sandoval, Charles Martin, Ned Cooper
https://arxiv.org/abs/2404.18405

Understanding and Shaping Human-Technology Assemblages in the Age of Generative AI
Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that might emerge from humans combining generative AI capabilities into everyday technologies at massive scale. Workshop participants will craft stories, visualisations, and prototypes through scenario-based design to investigate these possible futures, res…

It has now been more than two years since Russia's invasion of Ukraine. In this video I give an optimistic and a pessimistic scenario for what will happen in year three. They are very different, and that shows the spectrum of possible outcomes. Nothing is decided yet, and it really could go either way. https://youtu.be/bJK5NYxGNOQ

Emulation Techniques for Scenario and Classical Control Design of Tokamak Plasmas
A. Agnello, N. C. Amorisco, A. Keats, G. K. Holt, J. Buchanan, S. Pamela, C. Vincent, G. McArdle
https://arxiv.org/abs/2403.18912

Emulation Techniques for Scenario and Classical Control Design of Tokamak Plasmas
The optimisation of scenarios and design of real-time-control in tokamaks, especially for machines still in design phase, requires a comprehensive exploration of solutions to the Grad-Shafranov (GS) equation over a high-dimensional space of plasma and coil parameters. Emulators can bypass the numerical issues in the GS equation, if a large enough library of equilibria is available. We train an ensemble of neural networks to emulate the typical shape-control targets (separatrix at midplane, X-po…

Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity
Catalin-Mihai Halati, Ameneh Sheikhan, Giovanna Morigi, Corinna Kollath
https://arxiv.org/abs/2403.20096

Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity
In this Letter, we report the onset of periodic oscillations of coherences in an interacting bosonic gas coupled to a resonator after a quantum quench. This dynamics extends the collapse and revival features of atomic correlations in optical lattices to a dissipative scenario and exhibits hallmarks of synchronization. The behavior emerges from the interplay of the quantum dissipative nature of the cavity field and the presence of a (approximate) strong symmetry in the dissipative system, provid…

This https://arxiv.org/abs/2402.04289 has been replaced.
link: https://scholar.google.com/scholar?q=a

Multivariable simultaneous stabilization: A modified Riccati approach
Simultaneous stabilization problem arises in various systems and control applications. This paper introduces a new approach to addressing this problem in the multivariable scenario, building upon our previous findings in the scalar case. The method utilizes a Riccati-type matrix equation known as the Covariance Extension Equation, which yields all solutions parameterized in terms of a matrix polynomial. The procedure is demonstrated through specific examples.

Observation of a Fully-formed Forward--Reverse Shock Pair Due to the Interaction Between Two Coronal Mass Ejections at 0.5 au
D. Trotta, A. Dimmock, X. Blanco-Cano, R. Forsyth, H. Hietala, N. Fargette, A. Larosa, N. Lugaz, E. Palmerio, S. W. Good, E. K. J. Kilpua, E. Yordanova, O. Pezzi, G. Nicolaou, T. S. Horbury, R. Vainio, N. Dresing, C. J. Owen, R. Wimmer-Schweingruber
…

Observation of a Fully-formed Forward--Reverse Shock Pair Due to the Interaction Between Two Coronal Mass Ejections at 0.5 au
We report direct observations of a fast magnetosonic forward--reverse shock pair observed by Solar Orbiter on March 8, 2022 at the short heliocentric distance of 0.5 au. The structure, sharing some features with fully-formed stream interaction regions (SIRs), is due to the interaction between two successive coronal mass ejections (CMEs), never previously observed to give rise to a forward--reverse shock pair. The scenario is supported by remote observations from the STEREO-A coronographs, where…

Early dark energy and scalarization in a scalar-tensor model
H. Mohseni Sadjadi
https://arxiv.org/abs/2404.19695 https://arxiv.org/pdf/2404.19695
arXiv:2404.19695v1 Announce Type: new
Abstract: We present a model in which the Gauss-Bonnet invariant holds the quintessence at a fixed point, respecting an initial $Z_2$ symmetry in the radiation-dominated era. This results in an early dark energy, which becomes significant around the matter-radiation equality era. However, due to $Z_2$ symmetry breaking, scalarization occurs, leading to a rapid reduction in the early dark energy density. The model then quickly behaves like the $\Lambda$CDM model. This scenario alleviates the Hubble tension and aligns with the assumption that the gravitational wave speed is infinitesimally close to the speed of light.

This https://arxiv.org/abs/2402.11902 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Affleck-Dine leptogenesis scenario for resonant production of sterile neutrino dark matter
Sterile neutrino is a fascinating candidate for dark matter. In this paper, we examine the Affleck-Dine (AD) leptogenesis scenario generating a large lepton asymmetry, which can induce the resonant production of sterile neutrino dark matter via the Shi-Fuller (SF) mechanism. We also revisit the numerical calculation of the SF mechanism and the constraints from current X-ray and Lyman-$α$ forest observations. We find that the AD leptogenesis scenario can explain the production of sterile neutri…

Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
https://arxiv.org/abs/2404.19568 https://arxiv.org/pdf/2404.19568
arXiv:2404.19568v1 Announce Type: new
Abstract: The application of deep learning models in medical diagnosis has showcased considerable efficacy in recent years. Nevertheless, a notable limitation involves the inherent lack of explainability during decision-making processes. This study addresses such a constraint, by enhancing the interpretability robustness. The primary focus is directed towards refining the explanations generated by the LIME Library and LIME image explainer. This is achieved throuhg post-processing mechanisms, based on scenario-specific rules. Multiple experiments have been conducted using publicly accessible datasets related to brain tumor detection. Our proposed post-heuristic approach demonstrates significant advancements, yielding more robust and concrete results, in the context of medical diagnosis.

Automated Generation of High-Quality Medical Simulation Scenarios Through Integration of Semi-Structured Data and Large Language Models
Scott Sumpter
https://arxiv.org/abs/2404.19713 https://arxiv.org/pdf/2404.19713
arXiv:2404.19713v1 Announce Type: new
Abstract: This study introduces a transformative framework for medical education by integrating semi-structured data with Large Language Models (LLMs), primarily OpenAIs ChatGPT3.5, to automate the creation of medical simulation scenarios. Traditionally, developing these scenarios was a time-intensive process with limited flexibility to meet diverse educational needs. The proposed approach utilizes AI to efficiently generate detailed, clinically relevant scenarios that are tailored to specific educational objectives. This innovation has significantly reduced the time and resources required for scenario development, allowing for a broader variety of simulations. Preliminary feedback from educators and learners has shown enhanced engagement and improved knowledge acquisition, confirming the effectiveness of this AI-enhanced methodology in simulation-based learning. The integration of structured data with LLMs not only streamlines the creation process but also offers a scalable, dynamic solution that could revolutionize medical training, highlighting the critical role of AI in advancing educational outcomes and patient care standards.

This https://arxiv.org/abs/2107.00313 has been replaced.
link: https://scholar.google.com/scholar?q=a

Large-scale anisotropy of Galactic cosmic rays as a probe of local cosmic-ray propagation
Recent studies have shown that the anisotropy is of great value to decipher cosmic rays' origin and propagation. We have built an unified scenario to describe the observations of the energy spectra and the large-scale anisotropy and called attention to their synchronously evolution with energy. In this work, the impact of of the local regular magnetic field (LRMF) and corresponding anisotropic diffusion on large-scale anisotropy have been investigated. When the perpendicular diffusion coefficie…

Assessing LLMs in Malicious Code Deobfuscation of Real-world Malware Campaigns
Constantinos Patsakis, Fran Casino, Nikolaos Lykousas
https://arxiv.org/abs/2404.19715 https://arxiv.org/pdf/2404.19715
arXiv:2404.19715v1 Announce Type: new
Abstract: The integration of large language models (LLMs) into various pipelines is increasingly widespread, effectively automating many manual tasks and often surpassing human capabilities. Cybersecurity researchers and practitioners have recognised this potential. Thus, they are actively exploring its applications, given the vast volume of heterogeneous data that requires processing to identify anomalies, potential bypasses, attacks, and fraudulent incidents. On top of this, LLMs' advanced capabilities in generating functional code, comprehending code context, and summarising its operations can also be leveraged for reverse engineering and malware deobfuscation. To this end, we delve into the deobfuscation capabilities of state-of-the-art LLMs. Beyond merely discussing a hypothetical scenario, we evaluate four LLMs with real-world malicious scripts used in the notorious Emotet malware campaign. Our results indicate that while not absolutely accurate yet, some LLMs can efficiently deobfuscate such payloads. Thus, fine-tuning LLMs for this task can be a viable potential for future AI-powered threat intelligence pipelines in the fight against obfuscated malware.

This https://arxiv.org/abs/2309.16589 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Connecting Space Missions Through NGSO Constellations: Feasibility Study
A satellite internet provider (e.g., Starlink, OneWeb, O3b mPOWER), despite possessing the capability to provide internet services to on-ground users in a global scale, can dramatically change the way space missions are designed and operated in the foreseeable future. Assuming a scenario where space mission satellites can access the internet via a space internet system, the satellite can be connected to the network permanently (24x7) and act as mere terminal independently from its location. The…

Fractional Delay Alignment Modulation for Spatially Sparse Wireless Communications
Zhiwen Zhou, Zhiqiang Xiao, Yong Zeng
https://arxiv.org/abs/2403.19951 h…

Fractional Delay Alignment Modulation for Spatially Sparse Wireless Communications
Delay alignment modulation (DAM) is a novel transmission technique for wireless systems with high spatial resolution by leveraging delay compensation and path-based beamforming, to mitigate the inter-symbol interference (ISI) without resorting to complex channel equalization or multi-carrier transmission. However, most existing studies on DAM consider a simplified scenario by assuming that the channel multi-path delays are integer multiples of the signal sampling interval. This paper investigat…

Decoherence in Neutrino Oscillation at the ESSnuSB Experiment
ESSnuSB, :, J. Aguilar, M. Anastasopoulos, E. Baussan, A. K. Bhattacharyya, A. Bignami, M. Blennow, M. Bogomilov, B. Bolling, E. Bouquerel, F. Bramati, A. Branca, G. Brunetti, I. Bustinduy, C. J. Carlile, J. Cederkall, T. W. Choi, S. Choubey, P. Christiansen, M. Collins, E. Cristaldo Morales, P. Cupia{\l}, H. Danared, D. Dancila, J. P. A. M. de Andr\'e, M. Dracos, I. Efthymiopoulos, T. Ekel\"of, M. Eshraqi, G. Fano…

Decoherence in Neutrino Oscillation at the ESSnuSB Experiment
Neutrino oscillation experiments provide a unique window in exploring several new physics scenarios beyond the standard three flavour. One such scenario is quantum decoherence in neutrino oscillation which tends to destroy the interference pattern of neutrinos reaching the far detector from the source. In this work, we study the decoherence in neutrino oscillation in the context of the ESSnuSB experiment. We consider the energy-independent decoherence parameter and derive the analytical express…

This https://arxiv.org/abs/2311.15270 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Exploring the impact of a rapidly decelerating bar on transforming bulge orbits into disc-like orbits
The most metal-poor tail of the Milky Way ([Fe/H] $\leq$ $-$2.5) contains a population of stars with very prograde planar orbits, which is puzzling in both their origin and evolution. A possible scenario is that they are shepherded by the bar from the inner Galaxy, where many of the old and low-metallicity stars in the Galaxy are located. To investigate this scenario, we use test-particle simulations with an axisymmetric background potential plus a central bar model. The test particles are gene…

This https://arxiv.org/abs/1910.02700 has been replaced.
link: https://scholar.google.com/scholar?q=a

Do charged pions condense in a magnetic field with rotation?
We revisit the condensation scenario of charged pions in external magnetic field and rotation, which was first considered by Y. Liu and I. Zahed. Based on the Ginzburg-Landau analysis of the Nambu--Jona-Lasinio model, we find that the charged-pion condensation takes place only when both a strong coupling constant and negatively large baryon chemical potential are applied. Besides, our numerical calculation shows that the chiral restoration induced by the interplay between magnetic field and rot…

MLB Avoids Worst-Case Gambling Scenario. But It’s Not Time to Relax.
#MLB #Baseball #Fangraphs

Voor Nederland zijn de cijfers vrijwel gelijk. https://fediscience.org/@wolfgangcramer/112333645349647227

Wolfgang Cramer (@wolfgangcramer@fediscience.org)
Attached: 1 image Occasionally, I find it is still worth looking at observed climate change even before the dramatic 2023 numbers. Do you notice the comparison between the steepening red curve of the observations and the various policy scenario projections? How come we just keep building highways, extend airports, make ever larger cruise liners - as if there were no shred of a need to reduce greenhouse gas emissions? https://berkeleyearth.org/policy-insights/

This https://arxiv.org/abs/2309.14993 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

Induced gravitational waves and baryon asymmetry fluctuations from primordial black hole formation
We consider black hole formation due to the gravitational collapse produced by large density fluctuations during an epoch of reheating with a stiff equation of state and calculate the induced gravitational wave spectrum. By considering the existing bounds on the total energy density of gravitational waves today, we find constraints on the parameter space of this scenario. We also calculate the lepton asymmetry generated by metric perturbations via the chiral gravitational anomaly present in the…

Good to repeat. The logic is clear.
"A victorious Russia that succeeds in its aim of destroying Ukraine entirely, on the other hand, will pose a major conventional military threat to NATO in a relatively short period of time. It will be much harder to deter future Russian aggression and both more difficult and far more costly to defeat it if deterrence fails. "

Formation of the four terrestrial planets in the Jupiter-Saturn chaotic excitation scenario: fundamental properties and water delivery
Patryk Sofia Lykawka, Takashi Ito
https://arxiv.org/abs/2404.13826

Formation of the four terrestrial planets in the Jupiter-Saturn chaotic excitation scenario: fundamental properties and water delivery
The Jupiter-Saturn chaotic excitation (JSCE) scenario proposes that the protoplanetary disk was dynamically excited and depleted beyond ~1-1.5 au in a few Myr, offering a new and plausible explanation for several observed properties of the inner solar system. Here, we expanded our previous work by conducting a comprehensive analysis of 37 optimal terrestrial planet systems obtained in the context of the JSCE scenario. Each optimal system harbored exactly four terrestrial planets analogs to Merc…

This https://arxiv.org/abs/2311.07644 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Chiral Symmetry Restoration and the Ultraquantum limit of Axionic Charge Density Waves in Weyl Semimetals
A new mechanism for chiral symmetry restoration at extreme high magnetic fields is proposed in the context of the Magnetic Catalysis scenario in Weyl Semimetals. Contrary to previous proposals, here we show that, at very large magnetic fields, the transverse velocity of the axion field, the phase mode of the chiral condensate $\langle \barΨΨ\rangle$, becomes effectively one-dimensional and its fluctuations destroy a possible nonzero value of this fermionic condensate. We also show that, despi…

Real-time scattering in the lattice Schwinger model
Irene Papaefstathiou, Johannes Knolle, Mari Carmen Ba\~nuls
https://arxiv.org/abs/2402.18429 https://…

Real-time scattering in the lattice Schwinger model
Tensor network methods have demonstrated their suitability for the study of equilibrium properties of lattice gauge theories, even close to the continuum limit. We use them in an out-of-equilibrium scenario, much less explored so far, by simulating the real-time collisions of composite mesons in the lattice Schwinger model. Constructing wave-packets of vector mesons at different incoming momenta, we observe the opening of the inelastic channel in which two heavier mesons are produced and identi…

Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models
Tsendsuren Munkhdalai, Youzheng Chen, Khe Chai Sim, Fadi Biadsy, Tara Sainath, Pedro Moreno Mengibar
https://arxiv.org/abs/2403.19709

Hierarchical Recurrent Adapters for Efficient Multi-Task Adaptation of Large Speech Models
Parameter efficient adaptation methods have become a key mechanism to train large pre-trained models for downstream tasks. However, their per-task parameter overhead is considered still high when the number of downstream tasks to adapt for is large. We introduce an adapter module that has a better efficiency in large scale multi-task adaptation scenario. Our adapter is hierarchical in terms of how the adapter parameters are allocated. The adapter consists of a single shared controller network a…

A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime
Jihao Long, Xiaojun Peng, Lei Wu
https://arxiv.org/abs/2402.15718 https://

A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime
In this paper, we conduct a comprehensive analysis of generalization properties of Kernel Ridge Regression (KRR) in the noiseless regime, a scenario crucial to scientific computing, where data are often generated via computer simulations. We prove that KRR can attain the minimax optimal rate, which depends on both the eigenvalue decay of the associated kernel and the relative smoothness of target functions. Particularly, when the eigenvalue decays exponentially fast, KRR achieves the spectral a…

This https://arxiv.org/abs/2402.12972 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

The kinematics of multiple Compton scattering of two-photon systems
We present a Stokes-Mueller method to calculate the cross sections associated with multiple Compton scattering of an arbitrary two-photon system. This method is used to calculate the cross section in the scenario in which one of the maximally entangled annihilation photons undergoes intermediate Compton scattering followed by the detection of both photons using a pair of Compton polarimeters. The method accounts for potential quantum-decoherence effects caused by Compton scattering. Despite bei…

This https://arxiv.org/abs/2404.02561 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

scenario.center: Methods from Real-world Data to a Scenario Database
Scenario-based testing is a promising method to develop, verify and validate automated driving systems (ADS) since pure on-road testing seems inefficient for complex traffic environments. A major challenge for this approach is the provision and management of a sufficient number of scenarios to test a system. The provision, generation, and management of scenario at scale is investigated in current research. This paper presents the scenario database scenario.center ( https://scenario.center ) to …

Large Language Models as Conversational Movie Recommenders: A User Study
Ruixuan Sun, Xinyi Li, Avinash Akella, Joseph A. Konstan
https://arxiv.org/abs/2404.19093

Large Language Models as Conversational Movie Recommenders: A User Study
This paper explores the effectiveness of using large language models (LLMs) for personalized movie recommendations from users' perspectives in an online field experiment. Our study involves a combination of between-subject prompt and historic consumption assessments, along with within-subject recommendation scenario evaluations. By examining conversation and survey response data from 160 active users, we find that LLMs offer strong recommendation explainability but lack overall personalization,…

A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction
Shyang-En Weng, Shaou-Gang Miaou, Ricky Christanto
https://arxiv.org/abs/2402.18147

A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction
Human vision relies heavily on available ambient light to perceive objects. Low-light scenes pose two distinct challenges: information loss due to insufficient illumination and undesirable brightness shifts. Low-light image enhancement (LLIE) refers to image enhancement technology tailored to handle this scenario. We introduce CPGA-Net, an innovative LLIE network that combines dark/bright channel priors and gamma correction via deep learning and integrates features inspired by the Atmospheric S…

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model
Yongqi Zhao, Wenbo Xiao, Tomislav Mihalj, Jia Hu, Arno Eichberger
https://arxiv.org/abs/2404.16147

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model
The advent of Large Language Models (LLM) provides new insights to validate Automated Driving Systems (ADS). In the herein-introduced work, a novel approach to extracting scenarios from naturalistic driving datasets is presented. A framework called Chat2Scenario is proposed leveraging the advanced Natural Language Processing (NLP) capabilities of LLM to understand and identify different driving scenarios. By inputting descriptive texts of driving conditions and specifying the criticality metric…

A Framework for Leveraging Human Computation Gaming to Enhance Knowledge Graphs for Accuracy Critical Generative AI Applications
Steph Buongiorno, Corey Clark
https://arxiv.org/abs/2404.19729 https://arxiv.org/pdf/2404.19729
arXiv:2404.19729v1 Announce Type: new
Abstract: External knowledge graphs (KGs) can be used to augment large language models (LLMs), while simultaneously providing an explainable knowledge base of facts that can be inspected by a human. This approach may be particularly valuable in domains where explainability is critical, like human trafficking data analysis. However, creating KGs can pose challenges. KGs parsed from documents may comprise explicit connections (those directly stated by a document) but miss implicit connections (those obvious to a human although not directly stated). To address these challenges, this preliminary research introduces the GAME-KG framework, standing for "Gaming for Augmenting Metadata and Enhancing Knowledge Graphs." GAME-KG is a federated approach to modifying explicit as well as implicit connections in KGs by using crowdsourced feedback collected through video games. GAME-KG is shown through two demonstrations: a Unity test scenario from Dark Shadows, a video game that collects feedback on KGs parsed from US Department of Justice (DOJ) Press Releases on human trafficking, and a following experiment where OpenAI's GPT-4 is prompted to answer questions based on a modified and unmodified KG. Initial results suggest that GAME-KG can be an effective framework for enhancing KGs, while simultaneously providing an explainable set of structured facts verified by humans.

Gravitational wave radiation from magnetar-driven supernovae
Lang Xie, Hong-Yu Gong, Long LI, Da-Ming Wei, J. L. Han
https://arxiv.org/abs/2404.18076 https…

Gravitational wave radiation from magnetar-driven supernovae
Rapidly spinning magnetars are potential candidates for the energy source of supernovae (SNe) and gamma-ray bursts and the most promising sources for continuous gravitational waves (GWs) detected by ground-based GW detectors. Continuous GWs can be radiated from magnetars due to magnetic-induced deformation or fluid oscillations, compatible with magnetic dipole (MD) radiation for spin-down energy. In this paper, we investigate the diverse light curves of magnetar-driven SNe in the scenario that …

RF-Flashlight Testbed for Verification of Real-Time Geofencing of EESS Radiometers and Millimeter-Wave Ground-to-Satellite Propagation Models
Elliot Eichen, Arvind Aradhya, Ljiljana Simi\'c
https://arxiv.org/abs/2402.18456

RF-Flashlight Testbed for Verification of Real-Time Geofencing of EESS Radiometers and Millimeter-Wave Ground-to-Satellite Propagation Models
A simple 'RF-flashlight' (or ground to satellite) interference testbed is proposed to experimentally verify real-time geofencing (RTG) for protecting passive Earth Exploration Satellite Services (EESS) radiometer measurements from 5G or 6G mm-wave transmissions, and ground to satellite propagation models used in the interference modeling of this spectrum coexistence scenario. RTG is a stronger EESS protection mechanism than the current methodology recommended by the ITU based on a worst-case in…

This https://arxiv.org/abs/2311.09005 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Leptogenesis driven by majoron
We propose a leptogenesis scenario where baryon asymmetry generation is assisted by the kinetic motion of the majoron, $J$, in the process of lepton-number violating inverse decays of a right-handed neutrino, $N$. We investigate two distinct scenarios depending on the sources of majoron kinetic motion: 1) the misalignment mechanism, and 2) the kinetic misalignment mechanism. The former case can naturally generate the observed baryon asymmetry for the majoron mass $m_J \gtrsim \,{\rm TeV}$ and t…

This https://arxiv.org/abs/2304.10344 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Uncertainty over Uncertainty in Environmental Policy Adoption: Bayesian Learning of Unpredictable Socioeconomic Costs
The socioeconomic impact of pollution naturally comes with uncertainty due to, e.g., current new technological developments in emissions' abatement or demographic changes. On top of that, the trend of the future costs of the environmental damage is unknown: Will global warming dominate or technological advancements prevail? The truth is that we do not know which scenario will be realised and the scientific debate is still open. This paper captures those two layers of uncertainty by developing a…

This https://arxiv.org/abs/1910.02700 has been replaced.
link: https://scholar.google.com/scholar?q=a

Do charged pions condense in a magnetic field with rotation?
We revisit the condensation scenario of charged pions in external magnetic field and rotation, which was first considered by Y. Liu and I. Zahed. Based on the Ginzburg-Landau analysis of the Nambu--Jona-Lasinio model, we find that the charged-pion condensation takes place only when both a strong coupling constant and negatively large baryon chemical potential are applied. Besides, our numerical calculation shows that the chiral restoration induced by the interplay between magnetic field and rot…

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model
Yongqi Zhao, Wenbo Xiao, Tomislav Mihalj, Jia Hu, Arno Eichberger
https://arxiv.org/abs/2404.16147

Chat2Scenario: Scenario Extraction From Dataset Through Utilization of Large Language Model
The advent of Large Language Models (LLM) provides new insights to validate Automated Driving Systems (ADS). In the herein-introduced work, a novel approach to extracting scenarios from naturalistic driving datasets is presented. A framework called Chat2Scenario is proposed leveraging the advanced Natural Language Processing (NLP) capabilities of LLM to understand and identify different driving scenarios. By inputting descriptive texts of driving conditions and specifying the criticality metric…

MLB Avoids Worst-Case Gambling Scenario. But It’s Not Time to Relax.
#MLB #Baseball #Fangraphs

Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu, Yanlong Du
https://arxiv.org/abs/2403.17425

Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
In real-world advertising systems, conversions have different types in nature and ads can be shown in different display scenarios, both of which highly impact the actual conversion rate (CVR). This results in the multi-type and multi-scenario CVR prediction problem. A desired model for this problem should satisfy the following requirements: 1) Accuracy: the model should achieve fine-grained accuracy with respect to any conversion type in any display scenario. 2) Scalability: the model parameter…

Runaway OB Stars in the Small Magellanic Cloud III. Updated Kinematics and Insights on Dynamical vs. Supernova Ejections
Grant D. Phillips, M. S. Oey, Maria Cuevas, Norberto Castro, Rishi Kothari
https://arxiv.org/abs/2403.17198

Runaway OB Stars in the Small Magellanic Cloud III. Updated Kinematics and Insights on Dynamical vs. Supernova Ejections
We use the kinematics of field OB stars to estimate the frequencies of runaway stars generated by the dynamical ejection scenario (DES), the binary supernova scenario (BSS), and the combined two-step mechanism. We update the proper motions for field OB and OBe stars in the Small Magellanic Cloud (SMC) using Gaia DR3. Our sample now contains 336 stars from the Runaways and Isolated O-Type Star Spectroscopic Survey of the SMC (RIOTS4), and we update our algorithm to calculate more accurate veloci…

This https://arxiv.org/abs/2403.10564 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

All incompatible measurements on qubits lead to multiparticle Bell nonlocality
Bell nonlocality is a fundamental phenomenon of quantum physics as well as an essential resource for various tasks in quantum information processing. It is known that for the observation of nonlocality the measurements on a quantum system have to be incompatible, but the question which incompatible measurements are useful, remained open. Here we prove that any set of incompatible measurements on qubits leads to a violation of a suitable Bell inequality in a multiparticle scenario, where all par…

This https://arxiv.org/abs/2312.07173 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_grqc_…

Dynamical analysis of coupled curvature-matter scenario in viable $f(R)$ dark energy models at de Sitter phase
We explore the interaction between dark matter and curvature-driven dark energy within viable $f(R)$ gravity models, employing the phase-space analysis approach of linear stability theory. By incorporating an interacting term, denoted as $\mathcal{Q}=αH \tildeρ_{\rm m}\left(\frac{κ^2 }{3H^2}ρ_{\rm curv} + 1 \right)$, into the continuity equations of both sectors, we examine dynamics of two $f(R)$ gravity models that adhere to local gravity constraints and fulfill cosmological viability crit…

Interplay between Vector-like Lepton and Seesaw Mechanism:Oblique Corrections
Shuyang Han, Zhaofeng Kang, Jiang Zhu
https://arxiv.org/abs/2404.19502 https://arxiv.org/pdf/2404.19502
arXiv:2404.19502v1 Announce Type: new
Abstract: The non-vanishing neutrino mass strongly hints the existence of right-handed neutrinos (RHNs), singlets of the standard model (SM). However, they are highly decoupled from the SM and difficult to probe. In this work, we consider the Majorana RHNs from the type-I seesaw mechanism may well mix with the heavy neutral lepton dwelling in certain vector-like lepton (VLL), thus acquiring a sizable electroweak charge. Such a simple scenario yields many interesting consequences, and the imprint on oblique corrections, well expected from the mass splitting between components of VLL by virtue of VLL-RHN mixing, is our focus here. We analytically calculate the Peskin-Takeuchi parameters S, T and U with full details, carefully treating the Majorana loop to obtain the self consistent expressions free of divergence. Then, we constrain on the VLL-RHN system which only gives a sizable $T$ parameter using the PDG-2021 data and CDF-II data, separately, by imposing $T\lesssim{\cal O}(0.1)$. It is found that for the RHN and VLL below the TeV scale, with a properly large mixing, stands in the frontier of the electroweak precision test such as W-boson mass.

On a precessing jet-nozzle scenario with a common helical trajectory-pattern for blazar 3C345
S. J. Qian
https://arxiv.org/abs/2402.15157 https://

On a precessing jet-nozzle scenario with a common helical trajectory-pattern for blazar 3C345
The kinematics and flux evolution of the superluminal knots in blazar 3C345 were interpreted in the framework of the precessing jet-nozzle scenario with a precessing common helical trajectory-pattern. We show that the jet in 3C345 precesses with a period of 7.3yr and the superluminal knots move consistently along a precessing common helical trajectory-pattern in their inner jet regions, which can extend to core distances of about 1.2mas or traveled distances of about 300pc (for knots C4 and C9)…

Justin Fields Named ‘Preferred Target’ By Las Vegas Raiders In 1 Mind-Numbing Trade Scenario https://www.yardbarker.com/nfl/articles/justin_fields_named_preferred_target_by_las_vegas_rai…

Forming Mercury from excited initial conditions
Jennifer Scora, Diana Valencia, Alessandro Morbidelli, Seth Jacobson
https://arxiv.org/abs/2404.17523 https…

Forming Mercury from excited initial conditions
Mercury is notoriously difficult to form in solar system simulations, due to its small mass and iron-rich composition. Smooth particle hydrodynamics simulations of collisions have found that a Mercury-like body could be formed by one or multiple giant impacts, but due to the chaotic nature of collisions it is difficult to create a scenario where such impacts will take place. Recent work has found more success forming Mercury analogues by adding additional embryos near Mercury's orbit. In this w…

Prediction of Performance and Turbulence in ITER Burning Plasmas via Nonlinear Gyrokinetic Profile Prediction
N. T. Howard, P. Rodriguez-Fernandez, C. Holland, J. Candy
https://arxiv.org/abs/2404.17040

Prediction of Performance and Turbulence in ITER Burning Plasmas via Nonlinear Gyrokinetic Profile Prediction
Burning plasma performance, transport, and the effect of hydrogen isotope on confinement has been predicted for ITER baseline scenario (IBS) conditions using nonlinear gyrokinetic profile predictions. Accelerated by surrogate modeling [P. Rodriguez-Fernandez NF 2022], high fidelity, nonlinear gyrokinetic simulations performed with the CGYRO code [J. Candy JCP 2016], were used to predict profiles of Ti, Te, and ne while including the effects of alpha heating, auxiliary power, collisional energy …

This https://arxiv.org/abs/2401.04715 has been replaced.
initial toot: https://mastoxiv.page/@a…

An Effective Theory for Graphene Nanoribbons with Junctions
Graphene nanoribbons are a promising candidate for fault-tolerant quantum electronics. In this scenario, qubits are realised by localised states that can emerge on junctions in hybrid ribbons formed by two armchair nanoribbons of different widths. We derive an effective theory based on a tight-binding ansatz for the description of hybrid nanoribbons and use it to make accurate predictions of the energy gap and nature of the localisation in various hybrid nanoribbon geometries. We use quantum Mo…

On the inefficiency of fermion level-crossing under the parity-violating spin-2 gravitational field
Kohei Kamada, Jun'ya Kume
https://arxiv.org/abs/2404.19726 https://arxiv.org/pdf/2404.19726
arXiv:2404.19726v1 Announce Type: new
Abstract: Gravitational chiral anomaly connects the topological charge of spacetime and the chirality of fermions. It has been known that the chirality is carried by the particles (or the excited states) and also by vacuum. While the gravitational anomaly equation has been applied to cosmology, distinction between these two contributions has been rarely discussed. In the study of gravitational leptogenesis, for example, lepton asymmetry associated with the chiral gravitational waves sourced during inflation is evaluated only by integrating the anomaly equation. How these two contributions are distributed has not been seriously investigated. Meanwhile, a dominance of vacuum contribution is observed in some specific types of Bianchi spacetime with parity-violating gravitational fields, whose application to cosmology is not straightforward. One may wonder whether such a vacuum dominance takes place also in the system with chiral gravitational waves around the flat background, which is more suitable for application to realistic cosmology. In this work, we apply an analogy between U(1) electromagnetism and the weak gravity to the spacetime that resembles the one considered in the gravitational leptogenesis scenario. This approach allows us to obtain intuitive understanding of the fermion chirality generation under the parity-violating spin-2 gravitational field. By assuming the emergence of Landau level-like dispersion relation in our setup, we conjecture that level-crossing does not seem to be efficient while the charge accumulation in the vacuum likely takes place. Phenomenological implication is also discussed in the context of gravitational leptogenesis.

Neutron Stars Mass-Radius relations analysis in the Quintessence scenario
A. Campitelli, L. Mastrototaro
https://arxiv.org/abs/2403.18752 https://

Neutron Stars Mass-Radius relations analysis in the Quintessence scenario
In this paper, we explore the effects of General Relativity modification on the Mass-Radius relations of Neutron Stars induced by the presence of the Quintessence field. We consider, in particular, the Kiselev model, according to which the Quintessence field, being present in the entire Universe, might also be present around massive objects. Considering the Equation of State (EoS) for Baryonic matter BSk22 derived by A. Y. Potekhin et al., we infer the upper limit for NS masses in the presence …

Black-hole formation in binary neutron star mergers: The impact of spin on the prompt-collapse scenario
F. Schianchi, M. Ujevic, A. Neuweiler, H. Gieg, I. Markin, T. Dietrich
https://arxiv.org/abs/2402.16626

Black-hole formation in binary neutron star mergers: The impact of spin on the prompt-collapse scenario
Accurate modeling of the multi-messenger signatures connected to binary neutron star mergers requires proper knowledge on the final remnant's fate and the conditions under which black holes (BHs) can form in such mergers. In this article, we use a suite of 84 numerical-relativity simulations in 28 different physical setups to explore the impact of the individual stars' spin on the merger outcome and on the early postmerger dynamics. We find that for setups close to the prompt-collapse threshold…

Bistochastically private release of data streams with zero delay
Nicolas Ruiz
https://arxiv.org/abs/2402.16094 https://arxiv.org/pdf/…

Bistochastically private release of data streams with zero delay
Although the bulk of the research in privacy and statistical disclosure control is designed for static data, more and more data are often collected as continuous streams, and extensions of popular privacy tools and models have been proposed for this scenario. However, most of these proposals require buffers, where incoming individuals are momentarily stored, anonymized, and then released following a delay, thus considering a data stream as a succession of batches while it is by nature continuou…

scenario.center: Methods from Real-world Data to a Scenario Database
Michael Schuldes, Christoph Glasmacher, Lutz Eckstein
https://arxiv.org/abs/2404.02561

scenario.center: Methods from Real-world Data to a Scenario Database
Scenario-based testing is a promising method to develop, verify and validate automated driving systems (ADS) since pure on-road testing seems inefficient for complex traffic environments. A major challenge for this approach is the provision and management of a sufficient number of scenarios to test a system. The provision, generation, and management of scenario at scale is investigated in current research. This paper presents the scenario database scenario.center ( https://scenario.center ) to …

Radar Resource Management for Active Tracking Using Split-Aperture Phased Arrays
Pepijn B. Cox, Wim L. van Rossum
https://arxiv.org/abs/2402.17607 https://…

Radar Resource Management for Active Tracking Using Split-Aperture Phased Arrays
Flexible front-end technology will become available in future multifunction radar systems to improve adaptability to the operational theatre. A potential concept to utilize this flexibility is to subdivide radar tasks spatially over the array, the so-called split-aperture phased array (SAPA) concept. As radars are generally designed for their worst-case scenario, e.g., small targets at a large range, the power-aperture budget can be excessive for targets that do not fall within that class. To i…

ExcluIR: Exclusionary Neural Information Retrieval
Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren
https://arxiv.org/abs/2404.17288

ExcluIR: Exclusionary Neural Information Retrieval
Exclusion is an important and universal linguistic skill that humans use to express what they do not want. However, in information retrieval community, there is little research on exclusionary retrieval, where users express what they do not want in their queries. In this work, we investigate the scenario of exclusionary retrieval in document retrieval for the first time. We present ExcluIR, a set of resources for exclusionary retrieval, consisting of an evaluation benchmark and a training set f…

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
Matt-Heun Hong, Zachary N. Sunberg, Danielle Albers Szafir
https://arxiv.org/abs/2402.15997

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
Quality colormaps can help communicate important data patterns. However, finding an aesthetically pleasing colormap that looks "just right" for a given scenario requires significant design and technical expertise. We introduce Cieran, a tool that allows any data analyst to rapidly find quality colormaps while designing charts within Jupyter Notebooks. Our system employs an active preference learning paradigm to rank expert-designed colormaps and create new ones from pairwise comparisons, allowi…

Interaction-Based Driving Scenario Classification and Labeling
Cheng Chang, Jiawei Zhang, Jingwei Ge, Zuo Zhang, Junqing Wei, Li Li
https://arxiv.org/abs/2402.07720

Interaction-Based Driving Scenario Classification and Labeling
Scenario data play a vital role in autonomous driving related researches, and it is essential to obtain refined descriptions and labels to extract and index scenarios with different types of interactions. However, existing methods cannot cope well with the problem of scenario classification and comparison with vehicle interactions as the core. In this paper, we propose a framework for interaction-based refined scenario classification and labeling. Based on the summarized basic types of vehicle …

This https://arxiv.org/abs/2401.02485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Parameter Space of Leptogenesis in Polynomial Inflation
Polynomial inflation is a very simple and well motivated scenario. A potential with a concave ``almost'' saddle point at field value $ϕ= ϕ_0$ fits well the cosmic microwave background (CMB) data and makes testable predictions for the running of the spectral index and the tensor to scalar ratio. In this work we analyze leptogenesis in the polynomial inflation framework. We delineate the allowed parameter space giving rise to the correct baryon asymmetry as well as being consistent with data on…

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang
https://arxiv.org/abs/2404.09709

Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context
Existing methods often adjust representations adaptively only after aggregating user behavior sequences. This coarse-grained approach to re-weighting the entire user sequence hampers the model's ability to accurately model the user interest migration across different scenarios. To enhance the model's capacity to capture user interests from historical behavior sequences in each scenario, we develop a ranking framework named the Scenario-Adaptive Fine-Grained Personalization Network (SFPNet), whi…

This https://arxiv.org/abs/2404.02599 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Determining the Tactical Challenge of Scenarios to Efficiently Test Automated Driving Systems
The selection of relevant test scenarios for the scenario-based testing and safety validation of automated driving systems (ADSs) remains challenging. An important aspect of the relevance of a scenario is the challenge it poses for an ADS. Existing methods for calculating the challenge of a scenario aim to express the challenge in terms of a metric value. Metric values are useful to select the least or most challenging scenario. However, they fail to provide human-interpretable information on t…

Indirect detection of dark matter absorption in the Galactic Center
Kimberly K. Boddy, Bhaskar Dutta, Addy J. Evans, Wei-Chih Huang, Stacie Moltner, Louis E. Strigari
https://arxiv.org/abs/2404.17418

Indirect detection of dark matter absorption in the Galactic Center
We consider the nuclear absorption of dark matter as an alternative to the typical indirect detection search channels of dark matter decay or annihilation. In this scenario, an atomic nucleus transitions to an excited state by absorbing a pseudoscalar dark matter particle and promptly emits a photon as it transitions back to its ground state. The nuclear excitation of carbon and oxygen in the Galactic Center would produce a discrete photon spectrum in the $\mathcal{O}(10)$ MeV range that could …

Indirect detection of dark matter absorption in the Galactic Center
Kimberly K. Boddy, Bhaskar Dutta, Addy J. Evans, Wei-Chih Huang, Stacie Moltner, Louis E. Strigari
https://arxiv.org/abs/2404.17418

Indirect detection of dark matter absorption in the Galactic Center
We consider the nuclear absorption of dark matter as an alternative to the typical indirect detection search channels of dark matter decay or annihilation. In this scenario, an atomic nucleus transitions to an excited state by absorbing a pseudoscalar dark matter particle and promptly emits a photon as it transitions back to its ground state. The nuclear excitation of carbon and oxygen in the Galactic Center would produce a discrete photon spectrum in the $\mathcal{O}(10)$ MeV range that could …

Affleck-Dine leptogenesis scenario for resonant production of sterile neutrino dark matter
Kentaro Kasai, Masahiro Kawasaki, Kai Murai
https://arxiv.org/abs/2402.11902

Affleck-Dine leptogenesis scenario for resonant production of sterile neutrino dark matter
Sterile neutrino is a fascinating candidate for dark matter. In this paper, we examine the Affleck-Dine (AD) leptogenesis scenario generating a large lepton asymmetry, which can induce the resonant production of sterile neutrino dark matter via the Shi-Fuller (SF) mechanism. We also revisit the numerical calculation of the SF mechanism and the constraints from current X-ray and Lyman-$α$ forest observations. We find that the AD leptogenesis scenario can explain the production of sterile neutri…