cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Role of Social Interactions in Mitigating Psychological Distress During the COVID-19 Pandemic: A Study in Sri Lanka
Creators: name: Thilakasiri, Isuru
name: Fonseka, Tharaka
name: Mapa, Isuri
name: Godaliyadda, Roshan
name: Herath, Vijitha
name: Thowfeek, Ramila
name: Rathnayake, Anuruddhika
name: Ekanayake, Parakrama
name: Ekanayake, Janaka
Publisher: name: arXiv
Year: 2024
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental health was severely affected globally. This study examined how the pandemic affected Sri Lankan citizens representing a range of socioeconomic backgrounds in terms of their mental health. The data used in this research was gathered from 3,020 households using a nationwide face-to-face survey, from which a processed dataset of 921 responses was considered for the final analysis. Four distinct factors were identified by factor analysis (FA) that was conducted and subsequently, the population was clustered using unsupervised clustering to determine which population subgroups were affected similarly. Two such subgroups were identified where the respective relationships to the retrieved principal factors and their demographics were thoroughly examined and interpreted. This resulted in the identification of contrasting perspectives between the two groups toward the maintenance and the state of social relationships during the pandemic, which revealed that one group was more 'socially connected' in nature resulting in their mental state being comparatively better in coping with the pandemic. The other group was seen to be more 'socially reserved' showing an opposite reaction toward social connections while their mental well-being declined showing symptoms such as loneliness, and emptiness in response to the pandemic. The study examined the role of social media, and it was observed that social media was perceived as a substitute for the lack of social connections or primarily used as a coping mechanism in response to the challenges of the pandemic
Low-frequency pulse-jitter measurement with the uGMRT I : PSR J0437$-$4715
Creators: name: Kikunaga, Tomonosuke
name: Hisano, Shinnosuke
name: Batra, Neelam Dhanda
name: Desai, Shantanu
name: Joshi, Bhal Chandra
name: Bagchi, Manjari
name: Prabu, T.
name: Takahashi, Keitaro
name: Arumugam, Swetha
name: Bathula, Adarsh
name: Dandapat, Subhajit
name: Deb, Debabrata
name: Dwivedi, Churchil
name: Gupta, Yashwant
name: Jacob, Shebin Jose
name: Kareem, Fazal
name: K, Nobleson
name: Mamidipaka, Pragna
name: Paladi, Avinash Kumar
name: B, Arul Pandian
name: Rana, Prerna
name: Singha, Jaikhomba
name: Srivastava, Aman
name: Surnis, Mayuresh
name: Tarafdar, Pratik
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: High-precision pulsar timing observations are limited in their accuracy by the jitter noise that appears in the arrival time of pulses. Therefore, it is important to systematically characterise the amplitude of the jitter noise and its variation with frequency. In this paper, we provide jitter measurements from low-frequency wideband observations of PSR J0437$-$4715 using data obtained as part of the Indian Pulsar Timing Array experiment. We were able to detect jitter in both the 300 - 500 MHz and 1260 - 1460 MHz observations of the upgraded Giant Metrewave Radio Telescope (uGMRT). The former is the first jitter measurement for this pulsar below 700 MHz, and the latter is in good agreement with results from previous studies. In addition, at 300 - 500 MHz, we investigated the frequency dependence of the jitter by calculating the jitter for each sub-banded arrival time of pulses. We found that the jitter amplitude increases with frequency. This trend is opposite as compared to previous studies, indicating that there is a turnover at intermediate frequencies. It will be possible to investigate this in more detail with uGMRT observations at 550 - 750 MHz and future high sensitive wideband observations from next generation telescopes, such as the Square Kilometre Array. We also explored the effect of jitter on the high precision dispersion measure (DM) measurements derived from short duration observations. We find that even though the DM precision will be better at lower frequencies due to the smaller amplitude of jitter noise, it will limit the DM precision for high signal-to-noise observations, which are of short durations. This limitation can be overcome by integrating for a long enough duration optimised for a given pulsar.
description: 13 pages, 12 figures, 3 tables, accepted for Publication of the Astronomical Society of Australia
Spiralling molecular structures and chiral selectivity in model membranes
Creators: name: Fellows, Alexander P.
name: John, Ben
name: Wolf, Martin
name: Thämer, Martin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Since the lipid raft model was developed at the end of the last century, it became clear that the specific molecular arrangements of phospholipid assemblies within a membrane have profound implications in a vast range of physiological functions. Studies of such condensed lipid islands in model systems using fluorescence and Brewster angle microscopies have shown a wide range of sizes and morphologies, with suggestions of substantial in-plane molecular anisotropy and mesoscopic structural chirality. Whilst these variations can significantly alter many membrane properties including its fluidity, permeability, and molecular recognition, the details of the in-plane molecular orientations underlying these traits remain largely unknown. Here, we use phase-resolved sum-frequency generation microscopy on model membranes of phospholipid monolayers with mixed molecular chirality, which form micron-scale circular domains of condensed lipids, to fully determine their three-dimensional molecular structure. We find that the domains possess curved molecular directionality with spiralling mesoscopic packing. By comparing different enantiomeric mixtures, both the molecular and spiral turning directions are shown to depend on the lipid chirality, but with a clear deviation from mirror symmetry in the formed structures. This demonstrates strong enantioselectivity in the domain growth process, which has potential connections to the evolution of homochirality in all living organisms as well as implications for enantioselective drug design.
description: Main Text: 14 pages, 4 figures. Supplementary Information: 10 pages, 6 figures
Tearbela theivora
Creators: name: Ahmad, Jalil
name: Joshi, Rahul
name: Singh, Navneet
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Metarbelidae
Tearbela
Tearbela theivora

description: 6. Tearbela theivora (Hampson, 1910: 97)
Arbela
Type locality: Assam, Sylhet, Gazipur (Antram).
Distribution in India: Assam. Global records: Bangladesh (Gazipur, Sylhet) (Hampson 1910).
Remark. Though, it is mentioned from Assam in literature, the exact distribution falls under Bangladesh and its record from India needs confirmation.
description: Published as part of Ahmad, Jalil, Joshi, Rahul & Singh, Navneet, 2023, An updated Catalogue of Cossoidea (Lepidoptera) from India, pp. 301-348 in Zootaxa 5330 (3) on page 320, DOI: 10.11646/zootaxa.5330.3.1, http://zenodo.org/record/8254738
title: Precise determination of LJ parameters and Eucken correction factors for a more accurate modeling of transport properties in gases
Creators: name: Bechtel, Simon
name: Bayer, Brian
name: Vidaković-Koch, Tanja
name: Wiser, Artur
name: Vogel, Herbert
name: Sundmacher, Kai
Publisher: name: Springer
Year: 2024

description: The kinetic gas theory, in particular the equations of Chapman and Enskog, proved to be good and widely applicable approximations for modeling transport properties like diffusion coefficients, viscosities and thermal conductivities. However, these equations rely on at least the Lennard-Jones parameters and for polar gases also the dipole moment. In the scientific literature, the Lennard-Jones parameters are fitted to only one experimentally determined transport coefficient. This approach leads to good agreement between the Chapman Enskog equations employing the so obtained parameters with the experimental data for this specific transport property. However, utilizing the same parameters for modeling different transport properties oftentimes leads to distinct deviations. In this work, it is shown that the subset of Lennard-Jones parameters with which the Chapman Enskog equations can predict the experimental results with deviations comparable to the experimental uncertainty are not identical for each transport property. Hence, fitting towards one property doesn’t necessarily yield parameters that are suited to describe the other transport properties. In this publication, the Lennard-Jones parameters and a temperature dependent Eucken correction factor, leading to a significantly higher accuracy than the classical Eucken correction and also its modification by Hirschfelder, are therefore fitted towards all three transport properties simultaneously for seven exemplary gases. This approach leads to a significantly better agreement with experimental data for the three transport properties than the classical approach that relies on fitting to one single transport property and can be utilized to determine accurate sets of Lennard-Jones parameters and Eucken correction factors for any gas species. It provides a computationally inexpensive and practical method for the precise calculation of transport properties over a wide range of temperatures relevant for processes in the chemical industry.
About the magnitude of the $γ^\ast N \to N(1520)$ transverse amplitudes near $Q^2=0$
Creators: name: Ramalho, G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The $γ^\ast N \to N(1520)$ transition has a property that differs from the other low-lying nucleon resonance amplitudes: the magnitude of the transverse helicity amplitudes.The transition helicity amplitudes are defined in terms of square-transfer momentum $q^2$, or $Q^2=-q^2$. Near the photon point ($Q^2=0$) there is a significant difference in the magnitude of the transverse amplitudes: $A_{3/2}$ is very large and $A_{1/2}$ is very small. This atypical behavior contrasts with the relation between the amplitudes at the pseudothreshold [the limit where the nucleon and the $N(1520)$ are both at rest and $Q^2 <0$], where $A_{3/2} = A_{1/2}/\sqrt{3}$, and also in the large-$Q^2$ region, where theory and data suggest that $A_{3/2}$ is suppressed relative to $A_{1/2}$. In the present work, we look for the source of the suppression of the $A_{1/2}$ amplitude at $Q^2=0$. The result is easy to understand in first approximation, when we look into the relation between the transverse amplitudes and the elementary form factors, defined by a gauge-invariant parametrization of the $γ^\ast N \to N(1520)$ transition current, near $Q^2=0$. There is a partial cancellation between contributions of two elementary form factors near $Q^2=0$. We conclude, however, that the correlation between the two elementary form factors at $Q^2=0$ is not sufficient to explain the transverse amplitude data below $Q^2 = 1$ GeV$^2$. The description of the dependence of the transverse amplitudes on $Q^2$ requires the determination of the scale of variation of the elementary form factors in the range $Q^2=0$...0.5 GeV$^2$,a region with almost non existent data. We conclude at the end that the low-$Q^2$ data for the transverse amplitudes can be well described when we relate the scale of variation of the elementary form factors with the nucleon dipole form factor.
description: Published at Phys. Rev. D. 11 pages, 2 figures, 1 table. Minor extension
Feature-energy duality of topological boundary states in multilayer quantum spin Hall insulator
Creators: name: Yao, Yueh-Ting
name: Zhou, Xiaoting
name: Hung, Yi-Chun
name: Lin, Hsin
name: Bansil, Arun
name: Chang, Tay-Rong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Gapless topological boundary states characterize nontrivial topological phases arising from the bulk-boundary correspondence in symmetry-protected topological materials, such as the emergence of helical edge states in a two-dimensional $\mathbb{Z}_2$ topological insulator. However, the incorporation of symmetry-breaking perturbation terms in the Hamiltonian leads to the gapping of these edge bands, resulting in missing these crucial topological boundary states. In this work, we systematically investigate the robustness of bulk-boundary correspondence in the quantum spin Hall insulator via recently introduced feature spectrum topology. Our findings present a comprehensive understanding of feature-energy duality, illustrating that the aggregate number of gapless edge states in the energy-momentum ($\it{E-k}$) map and the non-trivial edge states in the $\hat{S}_z$ feature spectrum equals the spin Chern number of multilayer quantum spin Hall insulator. We identify a van der Waals material bismuth bromide $\rm(Bi_4Br_4)$ as a promising candidate through first-principles calculations. Our work not only unravels the intricacies of bulk-boundary correspondence but also charts a course for exploring quantum spin Hall insulators with high spin-Chern number.
Impact of anisotropic cosmic-ray transport on the gamma-ray signatures in the Galactic Center
Creators: name: Dörner, J.
name: Tjus, J. Becker
name: Blomenkamp, P. -S.
name: Fichtner, H.
name: Franckowiak, A.
name: Zaninger, E. M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The very high energy (VHE) emission of the Central Molecular Zone (CMZ) is rarely modelled in 3D. Most approaches describe the morphology in 1D or simplify the diffusion to the isotropic case. In this work we show the impact of a realistic 3D magnetic field configuration and gas distribution on the VHE gamma-ray distribution of the CMZ. We solve the 3D cosmic-ray transport equation with an anisotropic diffusion tensor using the approach of stochastic differential equations as implemented in the CRPropa framework. We test two different source distributions for five different anisotropies of the diffusion tensor, covering the range of effectively fieldline-parallel diffusion to isotropic diffusion. Within the tested magnetic field configuration the anisotropy of the diffusion tensor is close to the isotropic case and three point sources within the CMZ are favoured. Future missions like the upcoming CTA will reveal more small-scale structures which are not jet included in the model. Therefor a more detailed 3D gas distribution and magnetic field structure will be needed.
Orgyarbela Yakovlev & Zolotuhin 2020
Creators: name: Ahmad, Jalil
name: Joshi, Rahul
name: Singh, Navneet
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Metarbelidae
Orgyarbela

description: Genus Orgyarbela Yakovlev & Zolotuhin, 2020: 93
Type species: Arbela millemaculata Hampson, 1897: 286.
description: Published as part of Ahmad, Jalil, Joshi, Rahul & Singh, Navneet, 2023, An updated Catalogue of Cossoidea (Lepidoptera) from India, pp. 301-348 in Zootaxa 5330 (3) on page 320, DOI: 10.11646/zootaxa.5330.3.1, http://zenodo.org/record/8254738
Electromagnetically Induced Transparency in Strongly Relativistic Regime
Creators: name: Zhang, Tie-Huai
name: Wang, Wei-Min
name: Li, Yu-Tong
name: Zhang, Jie
Publisher: name: arXiv
Year: 2024
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Stable transport of laser beams in highly over-dense plasmas is of significance in fast ignition of inertial confinement fusion, relativistic electrons generation, and powerful electromagnetic emission, but hard to realize. Early in 1996, Harris proposed an electromagnetically induced transparency (EIT) mechanism, analogous to the concept in atom physics, to transport a low-frequency (LF) laser in over-dense plasmas aided by a high-frequency pump laser. However, subsequent investigations show that EIT cannot occur in real plasmas with boundaries. Here, our particle-in-cell simulations show that EIT can occur in strongly-relativistic regime and results in stable propagation of a LF laser in bounded plasmas with tens of its critical density. A relativistic three-wave coupling model is developed, and the criteria and frequency passband for EIT occurrence are presented. The passband is sufficiently wide in strongly-relativistic regime, allowing EIT to work sustainably. Nevertheless, it is narrowed to nearly an isolated point in weakly-relativistic regime, which can explain the quenching of EIT in bounded plasmas found in previous investigations.
REDriver: Runtime Enforcement for Autonomous Vehicles
Creators: name: Sun, Yang
name: Poskitt, Christopher M.
name: Zhang, Xiaodong
name: Sun, Jun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Autonomous driving systems (ADSs) integrate sensing, perception, drive control, and several other critical tasks in autonomous vehicles, motivating research into techniques for assessing their safety. While there are several approaches for testing and analysing them in high-fidelity simulators, ADSs may still encounter additional critical scenarios beyond those covered once they are deployed on real roads. An additional level of confidence can be established by monitoring and enforcing critical properties when the ADS is running. Existing work, however, is only able to monitor simple safety properties (e.g., avoidance of collisions) and is limited to blunt enforcement mechanisms such as hitting the emergency brakes. In this work, we propose REDriver, a general and modular approach to runtime enforcement, in which users can specify a broad range of properties (e.g., national traffic laws) in a specification language based on signal temporal logic (STL). REDriver monitors the planned trajectory of the ADS based on a quantitative semantics of STL, and uses a gradient-driven algorithm to repair the trajectory when a violation of the specification is likely. We implemented REDriver for two versions of Apollo (i.e., a popular ADS), and subjected it to a benchmark of violations of Chinese traffic laws. The results show that REDriver significantly improves Apollo's conformance to the specification with minimal overhead.
description: Accepted by the IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024)
Quantitative grain size estimation on airless bodies from the negative polarization branch. I. Insights from experiments and lunar observations
Creators: name: Bach, Yoonsoo P.
name: Ishiguro, Masateru
name: Takahashi, Jun
name: Geem, Jooyeon
name: Kuroda, Daisuke
name: Naito, Hiroyuki
name: Kwon, Jungmi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: This work explores characteristics of the negative polarization branch (NPB), which occurs in scattered light from rough surfaces, with particular focus on the effects of fine particles. Factors such as albedo, compression, roughness, and the refractive index are considered to determine their influence on the NPB. This study compiles experimental data and lunar observations to derive insights from a wide array of literature. Employing our proposed methodology, we estimate the representative grain sizes on the lunar surface to be $D \sim 1 \mathrm{-} 2 \mathrm{μm}$, with $D \lesssim 2 \mathrm{-} 4 \mathrm{μm}$, consistent with observed grain size frequency distributions in laboratory settings for lunar fines. Considering Mars, we propose that the finest particles are likely lacking ($D\gg 10 \mathrm{μm}$), which matches previous estimations. This study highlights the potential of multiwavelength, particularly near-infrared, polarimetry for precisely gauging small particles on airless celestial bodies. The conclusions provided here extend to cross-validation with grain sizes derived from thermal modeling, asteroid taxonomic classification, and regolith evolution studies.
description: 21 pages, 14 figures, Accepted for publication in A&A
Generalized susceptibilities of net-baryon number based on the 3-dimensional Ising universality class
Creators: name: Pan, Xue
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Assuming the equilibrium of the QCD system, we have investigated the critical behavior of sixth-, eighth- and tenth-order susceptibilities of net-baryon number, through mapping the results in the three-dimensional Ising model to that of QCD. Both the leading critical contribution as well as sub-leading critical contribution from the Ising model are discussed. When considering only the leading critical contribution, the density plots for susceptibilities of the same order demonstrate a consistent general pattern independent on values of mapping parameters. As the critical point is approached from the crossover side, a negative dip followed by a positive peak is observed in the $μ_B$ dependence of the three different orders of susceptibilities. When sub-leading critical contribution is taken into account, modifications become apparent in the density plots of the susceptibilities. The emergence of negative dips in the $μ_B$ dependence of the susceptibilities is not an absolute phenomenon, while the positive peak structure is a more robust feature of the critical point.
description: 9 pages, 5 figures, to be published in Chinese Physics C
Characterisation of plastic scintillator paddles and lightweight MWPCs for the MID subsystem of ALICE 3
Creators: name: Alfaro, Ruben
name: Hernández, Mauricio Alvarado
name: Bencédi, Gyula
name: Noris, Juan Carlos Cabanillas
name: Maldonado, Marco Antonio Díaz
name: Galvan, Carlos Duarte
name: Téllez, Arturo Fernández
name: Barnaföldi, Gergely Gábor
name: Gera, Ádám
name: Grabsky, Varlen
name: Hamar, Gergő
name: Corral, Gerardo Herrera
name: Monzón, Ildefonso León
name: García, Josué Martínez
name: Hernandez, Mario Iván Martínez
name: Méndez, Jesús Eduardo Muñoz
name: Nagy, Richárd
name: Laveaga, Rafael Ángel Narcio
name: Ortiz, Antonio
name: Cahuantzi, Mario Rodríguez
name: Torres, Solangel Rojas
name: Szollosova, Timea
name: Salazar, Miguel Enrique Patiño
name: García, Jared Pazarán
name: Medel, Hector David Regules
name: Muñoz, Guillermo Tejeda
name: Torres, Paola Vargas
name: Varga, Dezső
name: Vértesi, Róbert
name: Beltran, Yael Antonio Vásquez
name: Villamar, Carlos Rafael Vázquez
name: Pozos, Irandheny Yoval
Publisher: name: arXiv
Year: 2024
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The ALICE collaboration is proposing a completely new detector, ALICE 3, for operation during the LHC Runs 5 and 6. One of the ALICE~3 subsystems is the Muon IDentifier detector (MID), which has to be optimised to be efficient for the reconstruction of $J/ψ$ at rest (muons down to $p_{\rm T}\approx1.5$ GeV/$c$) for $|η|<1.3$. Given the modest particle flux expected in the MID of a few Hz/cm$^2$, technologies like plastic scintillator bars ($\approx1$ m length) equipped with wavelength-shifting fibers and silicon photomultiplier readout, and lightweight Multi-Wire Proportional Chambers (MWPCs) are under investigation. To this end, different plastic scintillator paddles and MWPCs were studied at the CERN T10 test beam facility. This paper reports on the performance of the scintillator prototypes tested at different beam momenta (from 0.5 GeV/$c$ up to 6 GeV/$c$) and positions (horizontal, vertical, and angular scans). The MWPCs were tested at different momenta (from 0.5 GeV/$c$ to 10 GeV/$c$) and beam intensities, their efficiency and position resolutions were verified beyond the particle rates expected with the MID in ALICE 3.
description: 11 pages, 8 figures, to appear in JINST
CULTURE AND IDENTITY: A DYNAMIC RELATIONSHIP
Creators: name: Shokhidova, Mashhura
Publisher: name: Zenodo
Year: 2024

description: This article explores the intricate and dynamic relationship between culture and identity, arguing that they are mutually constitutive and constantly evolving. We examine how culture provides the framework for individual and collective identity formation, influencing beliefs, values, behaviors, and self-perception. Conversely, we analyze how individual and collective actions and choices shape and reshape cultural norms and practices. The interplay between these forces is explored through various theoretical lenses, highlighting the complexities of identity negotiation in a globalized world characterized by increasing cultural exchange and hybridization. The article concludes by emphasizing the importance of understanding this dynamic relationship for fostering intercultural understanding and promoting social cohesion
Real-Time AIoT for UAV Antenna Interference Detection via Edge-Cloud Collaboration
Creators: name: Dong, Jun
name: Cheng, Jintao
name: Wu, Jin
name: Zhang, Chengxi
name: Zhao, Shunyi
name: Tang, Xiaoyu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or malfunctioning antennas, and radio monitoring agencies must address numerous sources of such antennas annually. Unmanned aerial vehicles (UAVs) can improve inspection efficiency. However, the data transmission delay in the existing cloud-only (CO) artificial intelligence (AI) mode fails to meet the low latency requirements for real-time performance. Therefore, we propose a computer vision-based AI of Things (AIoT) system to detect antenna interference sources for UAVs. The system adopts an optimized edge-cloud collaboration (ECC+) mode, combining a keyframe selection algorithm (KSA), focusing on reducing end-to-end latency (E2EL) and ensuring reliable data transmission, which aligns with the core principles of ultra-reliable low-latency communication (URLLC). At the core of our approach is an end-to-end antenna localization scheme based on the tracking-by-detection (TBD) paradigm, including a detector (EdgeAnt) and a tracker (AntSort). EdgeAnt achieves state-of-the-art (SOTA) performance with a mean average precision (mAP) of 42.1% on our custom antenna interference source dataset, requiring only 3 million parameters and 14.7 GFLOPs. On the COCO dataset, EdgeAnt achieves 38.9% mAP with 5.4 GFLOPs. We deployed EdgeAnt on Jetson Xavier NX (TRT) and Raspberry Pi 4B (NCNN), achieving real-time inference speeds of 21.1 (1088) and 4.8 (640) frames per second (FPS), respectively. Compared with CO mode, the ECC+ mode reduces E2EL by 88.9%, increases accuracy by 28.2%. Additionally, the system offers excellent scalability for coordinated multiple UAVs inspections. The detector code is publicly available at https://github.com/SCNU-RISLAB/EdgeAnt.
Τεχνητή Νοημοσύνη - Δουλειές σε απόσυρση ή ευκαιρία για πρόοδο;
Creators: name: Georgiou, Harris
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Artificial intelligence
subject: Machine learning
subject: Data science
subject: Computer and information sciences
subject: FOS: Computer and information sciences

description: Παρουσίαση εκ μέρους της Ένωσης Πληροφορικών Ελλάδας (ΕΠΕ) στην ημερίδα με το ομόνυμο όνομα, σχετικά με της σύγχρονες τάσεις στην Τεχνητή Νοημοσύνη και τις αλλαγές που φέρνει στο εργασιακό περιβάλλον και στην αγορά εργασίας.
Orgyarbela millemaculata
Creators: name: Ahmad, Jalil
name: Joshi, Rahul
name: Singh, Navneet
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Metarbelidae
Orgyarbela
Orgyarbela millemaculata

description: 7. Orgyarbela millemaculata (Hampson, 1897: 286)
Arbela
Type locality: Khasis [India].
Distribution in India: Meghalaya (Khasis) (Yakovlev & Zolotuhin 2020). Global records: not known.
description: Published as part of Ahmad, Jalil, Joshi, Rahul & Singh, Navneet, 2023, An updated Catalogue of Cossoidea (Lepidoptera) from India, pp. 301-348 in Zootaxa 5330 (3) on page 320, DOI: 10.11646/zootaxa.5330.3.1, http://zenodo.org/record/8254738
The Role of the Enterprise Architect in Digital Transformation
Creators: name: Gbolahan Olaniyi
Publisher: name: Zenodo
Year: 2024

description: The role of the Enterprise Architect (EA) is pivotal in driving digital transformation by aligning business objectives with technology strategies. This study examines how EAs leverage frameworks like TOGAF and methodologies such as Model-Based Systems Engineering (MBSE) to overcome organizational challenges in digital transformation. Drawing from case studies in the healthcare and public sectors, and incorporating insights from recent literature, this paper highlights the value of structured approaches to managing complexities, fostering innovation, and achieving strategic outcomes.
BADIIY MATNDA NUTQIY VAZIYAT VA UNING  PSIXOLINGVISTIK XUSUSIYATLARI
Creators: name: Turg'unova, Dildora
Publisher: name: Zenodo
Year: 2024

description: ushbu maqolada samarali nutq tashkil qilish va kommunikativ maqsadlarning to‘laqonli amalga oshishida nutqiy vaziyatning  o‘rni haqida qisqacha mushohadalar yoritilgan. Retsipiyent tomonidan nutqiy vaziyatga muvofiq leksik birlik tanlanishining psixolingvistik xususiyatlarga e’tibor qaratilgan.
Stueningeria Lehmann 2019
Creators: name: Ahmad, Jalil
name: Joshi, Rahul
name: Singh, Navneet
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Metarbelidae
Stueningeria

description: Genus Stueningeria Lehmann, 2019: 52
Type species: Stueningeria nepalensis Lehmann, 2019: 55.
description: Published as part of Ahmad, Jalil, Joshi, Rahul & Singh, Navneet, 2023, An updated Catalogue of Cossoidea (Lepidoptera) from India, pp. 301-348 in Zootaxa 5330 (3) on page 320, DOI: 10.11646/zootaxa.5330.3.1, http://zenodo.org/record/8254738
Quantum information scrambling in two-dimensional Bose-Hubbard lattices
Creators: name: Tripathy, Devjyoti
name: Touil, Akram
name: Gardas, Bartłomiej
name: Deffner, Sebastian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: It is a well-understood fact that the transport of excitations throughout a lattice is intimately governed by the underlying structures. Hence, it is only natural to recognize that also the dispersion of information has to depend on the lattice geometry. In the present work, we demonstrate that two-dimensional lattices described by the Bose-Hubbard model exhibit information scrambling for systems as little as two hexagons. However, we also find that the OTOC shows the exponential decay characteristic for quantum chaos only for a judicious choice of local observables. More generally, the OTOC is better described by Gaussian-exponential convolutions, which alludes to the close similarity of information scrambling and decoherence theory.
description: 9 pages, 10 figures
Some Old Globular Clusters (and Stars) Inferring That the Universe Is Older Than Commonly Accepted
Creators: name: de Andrés, Félix Llorente
Publisher: name: arXiv
Year: 2024
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The James Webb Space Telescope (JWST) has made startling discoveries regarding the early universe. It has revealed galaxies as soon as 300 million years after the Big Bang, challenging current galaxy formation models. Additionally, it has identified massive, bright galaxies in the young universe, contradicting the standard ΛCDM model's age estimate of 13.8 Gyr. This prompts a reevaluation of galaxy formation and cosmological models. There is a strong tension between JWST high-redshift galaxy observations and Planck Cosmic Microwave Background (CMB) satellite measurements. Even alternative cosmological models, including those incorporating dark matter baryon interaction, f(R) gravity, and dynamical dark have failed to resolve this tension. One possible solution is that the Universe's age exceeds predictions by the ΛCDM model. The study challenges this by introducing a method based on blue straggler stars (BSs) within GCs, comparing ages with other models. The ages obtained are compared with those of different models to certify that they are equally valid. These values are comparable within the error ranges except for the clusters: NGC104, NGC 5634, IC 4499, NGC 6273 and NGC 4833, finding their respective ages to be between 14.7 and 21.6 Gyr, surpassing the commonly accepted age of the Universe. These results inferred an age for the Universe of around 26 Gyr, close to 26.7 Gyr. This value aligns with that suggested by the cosmological model named Covarying Coupling Constants + TL (CCC+TL). Such a value is consistent with early universe observations from the James Webb Space Telescope (JWST). The results of the present paper reinforce the advocating for a critical review of models encompassing dark mass, dark energy, and the dynamics of the Universe, particularly in explaining the presence of primitive massive galaxies, very old GCs, and very old and poor metallic stars.
description: 13 pages, 5 figures, 3 tables. arXiv admin note: text overlap with arXiv:2308.09057
Quantum Zeno Engines and Heat Pumps
Creators: name: Barontini, Giovanni
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the implementation of quantum engines and quantum heat pumps where the quantum adiabatic transformations are replaced by quantum Zeno strokes. During these strokes, frequent measurements are selectively performed on the external state of the system avoiding transition between different levels. This effectively delivers almost ideal isentropic transformations. We concentrate on the characterization of the performance of a quantum Zeno heat pump implemented with a quantum harmonic oscillator, showing that optimal performance can be achieved faster than with shortcut-to-adiabaticity techniques.
Transport Dynamics of Water Molecules Confined between Lipid Membranes
Creators: name: Lee, Minho
name: Lee, Euihyun
name: Kim, Ji-Hyun
name: Hwang, Hyonseok
name: Cho, Minhaeng
name: Sung, Jaeyoung
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Water molecules confined between biological membranes exhibit a distinctive non-Gaussian displacement distribution, far different from bulk water. Here, we introduce a new transport equation for water molecules in the intermembrane space, quantitatively explaining molecular dynamics simulation results. We find the unique transport dynamics of water molecules stems from the lateral diffusion coefficient fluctuation caused by their longitudinal motion. We also identify an interfacial region where water possesses distinct physical properties, unaffected by changes in the intermembrane separation.
description: 4 figures in main text, 4 figures in Supplemental Material, 1 Supplemental Video
THE IMPORTANCE OF INTANGIBLE ASSETS ON THE PERFORMANCES OF A BUSINESS
Creators: name: Jabborova, Kumush
Publisher: name: Zenodo
Year: 2024

description: This article is based on the assumption that there is a strong influence between the intangible assets on the financial value and the performance of a business. This is more obvious especially in the case of the businesses which require a considerable creativity or are science-based.
Bidirectional Zigzag Growth from Clusters of Active Colloidal Shakers
Creators: name: Junot, Gaspard
name: González, Andrés Javier Manzano
name: Tierno, Pietro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Driven or self-propelling particles moving in viscoelastic fluids recently emerge as novel class of active systems showing a complex yet rich set of phenomena due to the non-Newtonian nature of the dispersing medium. Here we investigate the one-dimensional growth of clusters made of active colloidal shakers, which are realized by oscillating magnetic rotors dispersed within a viscoelastic fluid and at different concentration of the dissolved polymer. These magnetic particles when actuated by an oscillating field display a flow profile similar to that of a shaker force dipole, i.e. without any net propulsion. We design a protocol to assemble clusters of colloidal shakers and induce their controlled expansion into elongated zigzag structures. We observe a power law growth of the mean chain length and use theoretical arguments to explain the measured $1/3$ exponent. These arguments agree well with both experiments and particle based numerical simulations.
Asymptotically AdS black hole with a conformally-coupled scalar field in the first-order formalism of gravity
Creators: name: Avilés, L.
name: Corral, C.
name: Izaurieta, F.
name: Valdivia, O.
name: Vera, C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present a novel asymptotically anti-de Sitter black hole solution with conformally-coupled scalar fields in the first-order formalism of gravity in four dimensions. To do so, we consider a one-parameter extension of conformal transformations by exploiting the fact that the vielbein and spin connection are regarded as independent fields. We solve the field equations analytically and obtain a static black hole solution with nontrivial torsion sourced by the conformal coupling between the scalar field and geometry. The presence of torsion renders the scalar field everywhere regular, while the curvature and torsion singularities coalesce into the origin. We show that this configuration is continuously connected to previously reported solutions in the limit of vanishing torsion and analyze its main properties, focusing on the consequences of the torsional singularity.
description: References added. Matches published version
Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints
Creators: name: Widder, David Gray
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences
subject: K.4.1

description: What counts as legitimate AI ethics labor, and consequently, what are the epistemic terms on which AI ethics claims are rendered legitimate? Based on 75 interviews with technologists including researchers, developers, open source contributors, and activists, this paper explores the various epistemic bases from which AI ethics is discussed and practiced. In the context of outside attacks on AI ethics as an impediment to "progress," I show how some AI ethics practices have reached toward authority from automation and quantification, and achieved some legitimacy as a result, while those based on richly embodied and situated lived experience have not. This paper draws together the work of feminist Anthropology and Science and Technology Studies scholars Diana Forsythe and Lucy Suchman with the works of postcolonial feminist theorist Sara Ahmed and Black feminist theorist Kristie Dotson to examine the implications of dominant AI ethics practices.
 By entrenching the epistemic power of quantification, dominant AI ethics practices -- employing Model Cards and similar interventions -- risk legitimizing AI ethics as a project in equal and opposite measure to which they marginalize embodied lived experience as a legitimate part of the same project. In response, I propose humble technical practices: quantified or technical practices which specifically seek to make their epistemic limits clear in order to flatten hierarchies of epistemic power.
description: Accepted to ACM FAccT 2024
Quantum Dot CSD Simulation and Automated Charge Transition Detection
Creators: name: Hader, Fabian
name: Fuchs, Fabian
name: Fleitmann, Sarah
name: Havemann, Karin
name: Scherer, Benedikt
name: Vogelbruch, Jan-Friedrich
name: Geck, Lotte
name: van Waasen, Stefan
Publisher: name: Forschungzentrum Jülich
Year: 2024

description: SpinQubit 6, Sydney, Australia, 4 Nov 2024 - 8 Nov 2024
description: A scalable platform for quantum computing requires the automation of the quantum dot tuning process. One crucial step is to trap the appropriate number of electrons in the quantum dots typically accomplished by analyzing charge stability diagrams (CSDs), in which the charge transitions manifest as edges. Hence, it is necessary to recognize these edges automatically and reliably. Machine learning methods for this purpose require large amounts of data for training and testing. Therefore, we introduce SimCATS, a new approach to the realistic simulation of such data. It enables the simulation of ideal CSD data complemented with appropriate sensor responses and distortions. This enables us to investigate possible edge detection methods, train them with the simulated data, and carry out a quantitative and qualitative comparison on simulated and experimentally measured data from a GaAs and a SiGe qubit sample.
Multi-Head Encoding for Extreme Label Classification
Creators: name: Liang, Daojun
name: Zhang, Haixia
name: Yuan, Dongfeng
name: Zhang, Minggao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The number of categories of instances in the real world is normally huge, and each instance may contain multiple labels. To distinguish these massive labels utilizing machine learning, eXtreme Label Classification (XLC) has been established. However, as the number of categories increases, the number of parameters and nonlinear operations in the classifier also rises. This results in a Classifier Computational Overload Problem (CCOP). To address this, we propose a Multi-Head Encoding (MHE) mechanism, which replaces the vanilla classifier with a multi-head classifier. During the training process, MHE decomposes extreme labels into the product of multiple short local labels, with each head trained on these local labels. During testing, the predicted labels can be directly calculated from the local predictions of each head. This reduces the computational load geometrically. Then, according to the characteristics of different XLC tasks, e.g., single-label, multi-label, and model pretraining tasks, three MHE-based implementations, i.e., Multi-Head Product, Multi-Head Cascade, and Multi-Head Sampling, are proposed to more effectively cope with CCOP. Moreover, we theoretically demonstrate that MHE can achieve performance approximately equivalent to that of the vanilla classifier by generalizing the low-rank approximation problem from Frobenius-norm to Cross-Entropy. Experimental results show that the proposed methods achieve state-of-the-art performance while significantly streamlining the training and inference processes of XLC tasks. The source code has been made public at https://github.com/Anoise/MHE.
description: 20 pages, 12 figs, Published in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
Creators: name: Puah, Yi Hao
name: Ngo, Anh Tu
name: Chattopadhyay, Nandish
name: Chattopadhyay, Anupam
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Adoption of machine learning models across industries have turned Neural Networks (DNNs) into a prized Intellectual Property (IP), which needs to be protected from being stolen or being used without authorization. This topic gave rise to multiple watermarking schemes, through which, one can establish the ownership of a model. Watermarking using backdooring is the most well established method available in the literature, with specific works demonstrating the difficulty in removing the watermarks, embedded as backdoors within the weights of the network. However, in our work, we have identified a critical flaw in the design of the watermark verification with backdoors, pertaining to the behaviour of the samples of the Trigger Set, which acts as the secret key. In this paper, we present BlockDoor, which is a comprehensive package of techniques that is used as a wrapper to block all three different kinds of Trigger samples, which are used in the literature as means to embed watermarks within the trained neural networks as backdoors. The framework implemented through BlockDoor is able to detect potential Trigger samples, through separate functions for adversarial noise based triggers, out-of-distribution triggers and random label based triggers. Apart from a simple Denial-of-Service for a potential Trigger sample, our approach is also able to modify the Trigger samples for correct machine learning functionality. Extensive evaluation of BlockDoor establishes that it is able to significantly reduce the watermark validation accuracy of the Trigger set by up to $98\%$ without compromising on functionality, delivering up to a less than $1\%$ drop on the clean samples. BlockDoor has been tested on multiple datasets and neural architectures.
description: Accepted as a Work-in-Progress paper at SPACE 2024: Fourteenth International Conference on Security, Privacy and Applied Cryptographic Engineering
STRATEGY IMPLOMENTATION
Creators: name: Elov, Olimdjon
name: Abdulhamidova, Dilshoda
Publisher: name: Zenodo
Year: 2024

description: The implementation of a strategy is the process of turning a company’s long-term goals into tangible results, requiring effective management and proper resource allocation. This article analyzes the theoretical foundations of strategy implementation, its key stages, the challenges that arise during the process, and methods for overcoming them. The success factors for effective implementation are discussed, along with practical examples, and recommendations for businesses in Uzbekistan are provided.