cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
New Insights into Superintegrability from Unitary Matrix Models
Creators: name: Mironov, A.
name: Morozov, A.
name: Zakirova, Z.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Some eigenvalue matrix models possess an interesting property: one can manifestly define the basis where all averages can be explicitly calculated. For example, in the Gaussian Hermitian and rectangular complex models, averages of the Schur functions are again expressed through the Schur functions. However, so far this property remains restricted to very particular (e.g. Gaussian) measures. In this paper, we extend this observation to unitary matrix integrals, where one could expect that this restriction is easier to lift. We demonstrate that this is indeed the case, only this time the Schur averages are linear combinations of the Schur functions. Full factorization to a single item in the sum appears only on the Miwa locus, where at least one half of the time-variables is expressed through matrices of the same size. For unitary integrals, this is a manifestation of the de Wit-t'Hooft anomaly, which prevents the answer to be fully analytic in the matrix size $N$. Once achieved, this understanding can be extended back to the Hermitian model, where the phenomenon looks very similar: beyond Gaussian measures superintegrability requires an additional summation.
description: 10 pages
Towards Large-Scale and Spatio-temporally Resolved Diagnosis of Electronic Density of States by Deep Learning
Creators: name: Zeng, Qiyu
name: Chen, Bo
name: Yu, Xiaoxiang
name: Zhang, Shen
name: Kang, Dongdong
name: Wang, Han
name: Dai, Jiayu
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: FOS: Physical sciences

description: Modern laboratory techniques like ultrafast laser excitation and shock compression can bring matter into highly nonequilibrium states with complex structural transformation, metallization and dissociation dynamics. To understand and model the dramatic change of both electronic structures and ion dynamics during such dynamic processes, the traditional method faces difficulties. Here, we demonstrate the ability of deep neural network (DNN) to capture the atomic local-environment dependence of electronic density of states (DOS) for both multicomponent system under exoplanet thermodynamic condition and nonequilibrium system during super-heated melting process. Large scale and time-resolved diagnosis of DOS can be efficiently achieved within the accuracy of ab initio method. Moreover, the atomic contribution to DOS given by DNN model accurately reveals the information of local neighborhood for selected atom, thus can serve as robust order parameters to identify different phases and intermediate local structures, strongly highlights the efficacy of this DNN model in studying dynamic processes.
description: 7 Figures, accepted by PRB
Integrability breaking in the Rule 54 cellular automaton
Creators: name: Lopez-Piqueres, Javier
name: Gopalakrishnan, Sarang
name: Vasseur, Romain
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Cellular automata have recently attracted a lot of attention as testbeds to explore the emergence of many-body quantum chaos and hydrodynamics. We consider the Rule 54 model, one of the simplest interacting integrable models featuring two species of quasiparticles (solitons), in the presence of an integrability-breaking perturbation that allows solitons to backscatter. We study the onset of thermalization and diffusive hydrodynamics in this model, compute perturbatively the diffusion constant of tracer particles, and comment on its relation to transport coefficients.
description: v2. Corrected notation inconsistencies, added a reference. v1. To appear in special issue "Hydrodynamics of Low-Dimensional Quantum Systems" of J. Phys. A
Supplementary document for Ultra-wideband Two-dimensional Airy Beam Generation with Amplitude-tailorable Metasurface - 6215144.pdf
Creators: name: Qu, Kai
name: Li, Bingqing
name: Zhao, Junming
name: Chen, Ke
name: Jiang, Tian
name: Feng, Yijun
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: working mode; coupling effect; different amplitude profiles; wideband performance;efficiency
Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de calculo integral, carrera de ingeniería agronómica, UCE
Creators: name: Marcelino Niza Cumbajin, Denis
Publisher: name: unknown
Year: 2023

description: Examina cómo el uso del libro de texto de la materia de cálculo integral afecta el rendimiento académico de los estudiantes de Ingeniería Agronómica.
Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de calculo integral, carrera de ingeniería agronómica, UCE
Creators: name: Marcelino Niza Cumbajin, Denis
Publisher: name: Humanities Commons
Year: 2023

description: Examina cómo el uso del libro de texto de la materia de cálculo integral afecta el rendimiento académico de los estudiantes de Ingeniería Agronómica.
SUN'IY INTELLEKTGA ASOSLANGAN PEDAGOGIK DASTURLARNI YARATISH VA ISHLAB CHIQISHDA O'QUVCHILARNING KOMPETENSIYALARINI SHAKLLANTIRISH METODIKASI
Creators: name: Urinbaeva, Gulnaz
name: Aybosinova, Gulmira
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada talabalarning sun’iy intellekt (SI) asosida pedagogik dasturlarni yaratish va ishlab chiqish bo‘yicha kompetensiyalarini rivojlantirish metodikasi o‘rganilgan. Unda ta’limga sun’iy intellektni joriy etishning ahamiyati ta’kidlangan va talabalarning ushbu sohada muvaffaqiyatga erishishi uchun zarur bo‘lgan asosiy kompetensiyalar, jumladan sun’iy intellekt asoslari, pedagogik dizayn, ma’lumotlar savodxonligi, axloq va hamkorlik ko‘nikmalari bayon etilgan. Maqolada o‘quvchilarni zarur ko‘nikmalarga ega qilish uchun o‘quv dasturlarini loyihalash, loyiha asosida o‘qitish va uzluksiz kasbiy rivojlanishga tizimli yondashuv taqdim etilgan. Bundan tashqari, unda real hayotda qo‘llash, keys-stadilar va sun’iy intellektga asoslangan pedagogik dasturlarni amalga oshirishdagi muammolar muhokama qilinadi. Maqola o‘quvchilarni rivojlanayotgan sun’iy intellektga asoslangan ta’lim muhitiga tayyorlash muhimligini ta’kidlash bilan yakunlanadi.
Detectability of a spatial correlation between stellar-mass black hole mergers and Active Galactic Nuclei in the Local Universe
Creators: name: Veronesi, Niccolò
name: Rossi, Elena Maria
name: van Velzen, Sjoert
name: Buscicchio, Riccardo
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The origin of the Binary Black Hole (BBH) mergers detected through Gravitational Waves (GWs) by the LIGO-Virgo-KAGRA (LVK) collaboration remains debated. One fundamental reason is our ignorance of their host environment, as the typical size of an event's localization volume can easily contain thousands of galaxies. A strategy around this is to exploit statistical approaches to assess the spatial correlation between these mergers and astrophysically motivated host galaxy types, such as Active Galactic Nuclei (AGN). We use a Likelihood ratio method to infer the degree of GW-AGN connection out to $z=0.2$. We simulate BBH mergers whose components' masses are sampled from a realistic distribution of the underlying population of Black Holes (BHs). Localization volumes for these events are calculated assuming two different interferometric network configurations. These correspond to the configuration of the third (O3) and of the upcoming fourth (O4) LVK observing runs. We conclude that the 13 BBH mergers detected during the third observing run at $z\leq0.2$ are not enough to reject with a \(3σ\) significance the hypothesis according to which there is no connection between GW and AGN more luminous than $\approx 10^{44.3}\rm{erg}\ \rm{s}^{-1}$, that have number density higher than \(10^{-4.75}\textrm{Mpc}^{-3}\). However, 13 detections are enough to reject this no-connection hypothesis when rarer categories of AGN are considered, with bolometric luminosities greater than $\approx 10^{45.5}\rm{erg}\ \rm{s}^{-1}$. We estimate that O4 results will potentially allow us to test fractional contributions to the total BBH merger population from AGN of any luminosity higher than \(80\%\).
description: 7 pages; 3 figures, accepted for publication in MNRAS
Quantum Hydrodynamics of Fractonic Superfluids with Lineon Condensate: from Navier-Stokes-like Equations to Landau-like Criterion
Creators: name: Yuan, Jian-Keng
name: Chen, Shuai A.
name: Ye, Peng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Fractonic superfluids are exotic states of matter with spontaneously broken higher-rank $U(1)$ symmetry. The latter is associated with conserved quantities that include not only particle number (i.e. charge) but also higher moments, such as dipoles, quadrupoles, and angular moments. Due to the presence of such conserved quantities, the mobility of particles is restricted either completely or partially. In this work, we systematically study hydrodynamical properties of fractonic superfluids, especially focusing on the fractonic superfluids with conserved angular moments. The constituent bosons are called "lineons" with $d$-components in $d$-dimensional space. From Euler-Lagrange equation, we derive the continuity equation and Navier-Stokes-like equations, in which the angular moment conservation introduces extra terms. Furthermore, we discuss the current configurations that are related to the defects. Like the conventional superfluid, we study the critical values of velocity fields and density currents, which gives rise to a Landau-like criterion. At the end of this work, several future directions are discussed.
description: Accepted by Chin. Phys. Lett. Series of work on fractonic superfluids (arXiv:1911.02876, arXiv:2010.03261, arXiv:2104.03237, and arXiv:2201.08597)
Microwave and Acoustic Absorption Metamaterials
Creators: name: Qu, Sichao
name: Sheng, Ping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: Wave absorption metamaterials have been an enduring topic over the past two decades, propelled not only by novel scientific advances, but also by their extensive application potential. In this review, we aim to provide some general insights into the absorption mechanism common to both microwave and acoustic systems. By establishing a universal model for resonance-based metamaterials, we present the theoretical conditions for broadband impedance matching and introduce the fundamental causal limit as an evaluation tool for absorption performance. Under this integrated framework, we survey the recent advances on metamaterials absorption in both microwave and acoustic systems, with the focus on those that pushed the overall performance close to the causal limit. We take note of some new, emerging metastructures that can circumvent the constraint imposed by causal limit, thereby opening a new avenue to low-frequency absorption. This review concludes by discussing the existing challenges with possible solutions and the broad horizon for future developments.
description: This is a review type paper
title: Digitale Arbeitswelten - Solidarität als lebensdienliche Perspektive
Creators: name: Zirkler, Michael
Publisher: name: Friedrich-Schiller-Universität
Year: 2024
Subjects: subject: Solidarität
subject: Arbeit
subject: 100

description: Thüringentag für Philosophie 2024: Solidarität - was geht?
Performance Comparison of Python Translators for a Multi-threaded CPU-bound Application
Creators: name: Milla, Andrés
name: Rucci, Enzo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Currently, Python is one of the most widely used languages in various application areas. However, it has limitations when it comes to optimizing and parallelizing applications due to the nature of its official CPython interpreter, especially for CPU-bound applications. To solve this problem, several alternative translators have emerged, each with a different approach and its own cost-performance ratio. Due to the absence of comparative studies, we have carried out a performance comparison of these translators using N-Body as a case study (a well-known problem with high computational demand). The results obtained show that CPython and PyPy presented poor performance due to their limitations when it comes to parallelizing algorithms; while Numba and Cython achieved significantly higher performance, proving to be viable options to speed up numerical algorithms.
description: In: Pesado, P., Gil, G. (eds). Computer Science - CACIC 2021. Springer Communications in Computer and Information Science, vol 1584
Paediatric defibrillation – A guide to an essential therapy
Creators: name: Cloete, David
Publisher: name: F1000Research
Year: 2016

description: In the last two decades, emphasis has been placed on early CPR and early defibrillation for successful resuscitation by the world’s major resuscitation organizations. Both of these are crucial elements of the American Heart association’s important concept of the Chain of Survival.

We know that:

Sudden cardiac arrest due to ventricular fibrillation or pulseless ventricular tachycardia occurs in up to 19% of all pediatric out-of-hospital arrests.

Note: this is less commonly the presenting rhythm in in children less than 8 years and infants.

In terms of in-hospital-arrests, these ‘shockable rhythms’ (in other words, they respond to electric shocks or defibrillation) are present at some stage of the resuscitation in up to 27% of children, with 10-15% having either of these as the initial arrest rhythm.

The majority of children with sudden cardiac arrest, have experienced this in an out-of-hospital setting and are apnoeic and pulseless on arrival. Most, but not all, have suffered a respiratory arrest leading to asystole  – which is a ‘non-shockable rhythm’, together with pulseless electrical activity.

Survival with VF is better than survival with asystole and this survival is directly correlated with minimizing the time to delivery of electric current, with first shock success rate in the region of 90%.

In other words, having a comprehensive understanding of defibrillation is paramount – remember, a chain is only as strong as its weakest link…
Headaches in children_Revision & therapeutic debate
Creators: name: Cloete, David
Publisher: name: F1000Research
Year: 2016

description: Headaches are a common presenting complaint in children and adolescents. I think it is safe to say that almost all of you can remember an occasion in your childhood when you suffered from a particularly ‘bad headache’ – and possibly gave your parents a ‘headache’ at some stage or another…

You are certainly not alone – in a systematic review of 50 population based studies, nearly 60% of children reported having had headaches over periods of time (ranging from one month to “lifetime”).

By age 18 years, more than 90% of children report having had a headache.

In terms of frequent and severe headaches, approximately 20% of children in the United States aged 4-18 years reported this problem (including migraine) in the past 12 months.

Bacterial meningitis continues to result in substantial morbidity and mortality, despite the availability of effective antimicrobial therapy.

Debating therapies and applying evidence-based medicine to our patients is paramount.

This set of slides focuses on the aetiology of headache in children, the approach to these patients and an extended focus on bacterial meningitis specifically.
QUANTIFIABLE DIVERSITY IN THE ARTS: HOW HISTORICALLY BLACK COLLEGES AND UNIVERSITIES (HBCU) CAN INCREASE DIVERSITY IN ARTS ADMINISTRATION
Creators: name: Wooden, Glenda Estelle
Publisher: name: Maryland Shared Open Access Repository
Year: 2016
Subjects: subject: Historically Black Colleges and Universities
subject: Diversity
subject: Equity
subject: Leadership
subject: Affirmative Action
subject: Arts Management
subject: Quantitative Diversity
subject: Diversity Goals
subject: Pipeline
subject: Partnership
subject: Arts and Culture Sector
subject: Arts Organizations
subject: Arts administration -- Theses.

description: To elevate the diversity dialogue among students, the arts community, and
Historically Black Colleges and Universities (HBCU), with the intent purpose to combat
rhetoric that prolongs, or even proliferates the diversity gap, this paper explores what
preemptive role HBCUs might play in proactively addressing the need to create a diverse
pipeline to the field of arts administration. Through academic preparation, HBCUs can
ensure African-American candidates acquire proficiencies to enter and make measurable
gains in arts administration.
The first argument asserts that arts organizations continue to postulate that the lack
of African-American candidates in professional and leadership roles is inextricably related
to the insufficient number of qualified and capable African-American candidates from
which to recruit. The second argument asserts that arts organizations that have adopted 
satisfactory recruitment efforts, practices, and policies that value diversity yet remains
homogenous reinforce assumptions that emerging African-American arts administrators
are in short supply, lack interest in the field, or have inadequate formal arts education or
experience.
The third argument asserts that HBCUs, while limited in financial and physical
resources, graduate an equal or greater amount of African-American students than
predominantly white institutions (PWI). This implies that accompanying factors unique to
the HBCU, such as early development of faculty and student relationships, alumni
networks, extended family environment, and relevance to the African-American
experience, are key to academic, social, and professional development. These findings
suggest that unless reversed, the education gap will directly attribute to a greater
underrepresentation of African-Americans in arts administration.
title: Modeling brain network flexibility in networks of coupled oscillators: a feasibility study
Creators: name: Chinichian, Narges
name: Lindner, Michael
name: Yanchuk, Serhiy
name: Schwalger, Tilo
name: Schöll, Eckehard
name: Berner, Rico
Publisher: name: Humboldt-Universität zu Berlin
Year: 2024
Subjects: subject: Applied physics
subject: Computational neuroscience
subject: Neuroscience
subject: Statistical physics
subject: thermodynamics and nonlinear dynamics
subject: 500 Naturwissenschaften und Mathematik
subject: 600 Technik und Technologie

description: Modeling the functionality of the human brain is a major goal in neuroscience for which many powerful methodologies have been developed over the last decade. The impact of working memory and the associated brain regions on the brain dynamics is of particular interest due to their connection with many functions and malfunctions in the brain. In this context, the concept of brain flexibility has been developed for the characterization of brain functionality. We discuss emergence of brain flexibility that is commonly measured by the identification of changes in the cluster structure of co-active brain regions. We provide evidence that brain flexibility can be modeled by a system of coupled FitzHugh-Nagumo oscillators where the network structure is obtained from human brain Diffusion Tensor Imaging (DTI). Additionally, we propose a straightforward and computationally efficient alternative macroscopic measure, which is derived from the Pearson distance of functional brain matrices. This metric exhibits similarities to the established patterns of brain template flexibility that have been observed in prior investigations. Furthermore, we explore the significance of the brain’s network structure and the strength of connections between network nodes or brain regions associated with working memory in the observation of patterns in networks flexibility. This work enriches our understanding of the interplay between the structure and function of dynamic brain networks and proposes a modeling strategy to study brain flexibility.
Emittance growth of kicked and mismatched beams due to amplitude-dependent tune shift
Creators: name: Waagaard, E.
name: Ziemann, V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: We derive evolution equations for the first and second moments of an initially mismatched, coupled, and displaced arbitrary Gaussian phase-space distribution under the influence of decoherence due to amplitude-dependent tune shift. Moreover, we find expressions for the asymptotic values of the beam matrix and the emittance and use them to evaluate error tolerances for injection.
description: 24 pages, 5 figures
Physical link of the polar field build-up with the Waldmeier effect broadens the scope of early solar cycle prediction: Cycle 25 is likely to be slightly stronger than Cycle 24
Creators: name: Kumar, Pawan
name: Biswas, Akash
name: Karak, Bidya Binay
Publisher: name: arXiv
Year: 2022
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Prediction of the solar cycle is challenging but essential because it drives space weather. Several predictions with varying amplitudes of the ongoing Cycle~25 have been made. We show that an aspect of the Waldmeier effect (WE2), i.e., a strong positive correlation between the rise rate and the amplitude of the cycle, has a physical link with the build-up of the previous cycle's polar field after its reversal. We find that the rise rate of the polar field is highly correlated with the rise rate and the amplitude of the next solar cycle. Thus, the prediction of the amplitude of the solar cycle can be made just a few years after the reversal of the previous cycle's polar field, thereby extending the scope of the solar cycle prediction to much earlier than the usual time. Our prediction of Cycle 25 based on the rise rate of the previous polar field is $137\pm 23$, which is quite close to the prediction $138\pm 26$ based on the WE2 computed from the available 2 years sunspot data of the ongoing cycle.
description: Accepted in MNRAS: Letters
Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil
Creators: name: Cuyachamin, Kevin
Publisher: name: unknown
Year: 2023

description: En resumen la guia académico de la materia de calculo integral es muy beneficiosa para el mejor aprendizaje de los estudiantes ya que este proporciona tanto la teoría como la practica a su vez con ejercicios resueltos que sirven como guia y ayudan a un mejor entendimiento de la materia
Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil
Creators: name: Cuyachamin, Kevin
Publisher: name: Humanities Commons
Year: 2023

description: En resumen la guia académico de la materia de calculo integral es muy beneficiosa para el mejor aprendizaje de los estudiantes ya que este proporciona tanto la teoría como la practica a su vez con ejercicios resueltos que sirven como guia y ayudan a un mejor entendimiento de la materia
A Bayesian change point model to detect changes in event occurrence rates, with application to induced seismicity
Creators: name: Gupta, Abhineet
name: Baker, Jack W.
Publisher: name: The University of British Columbia
Year: 2015

description: A significant increase in earthquake occurrence rates has been observed in recent years in parts of Central and Eastern US. There is a possibility that this increased seismicity is anthropogenic and is referred to as induced seismicity. In this paper, a Bayesian change point model is implemented to evaluate whether temporal features of observed earthquakes support the hypothesis that a change in seismicity rates has occurred. This model is then used to estimate when the change is likely to have occurred. The magnitude of change is also quantified by estimating the distributions of seismicity rates before and after the change. These calculations are validated using a simulated data set with a known change point and event occurrence rates; and then applied to earthquake occurrence data for a site in Oklahoma.
title: Spatially resolved emulated annual temperature projections for overshoot pathways
Creators: name: Schwaab, Jonas
name: Hauser, Mathias
name: Lamboll, Robin D.
name: Beusch, Lea
name: Gudmundsson, Lukas
name: Quilcaille, Yann
name: Lejeune, Quentin
name: Schöngart, Sarah
name: Schleussner, Carl-Friedrich
name: Nath, Shruti
name: Rogelj, Joeri
name: Nicholls, Zebedee
name: Seneviratne, Sonia I.
Publisher: name: Humboldt-Universität zu Berlin
Year: 2024
Subjects: subject: Climate and Earth system modelling
subject: Climate-change mitigation
subject: Governance
subject: 500 Naturwissenschaften und Mathematik
subject: 570 Biologie
subject: 610 Medizin und Gesundheit

description: Due to insufficient climate action over the past decade, it is increasingly likely that 1.5 °C of global warming will be exceeded – at least temporarily – in the 21 st century. Such a temporary temperature overshoot carries additional climate risks which are poorly understood. Earth System Model climate projections are only available for a very limited number of overshoot pathways, thereby preventing comprehensive analysis of their impacts. Here, we address this issue by presenting a novel dataset of spatially resolved emulated annual temperature projections for different overshoot pathways. The dataset was created using the FaIR and MESMER emulators. First, FaIR was employed to translate ten different emission scenarios, including seven that are characterised by overshoot, into a large ensemble of forced global mean temperatures. These global mean temperatures were then converted into stochastic ensembles of local annual temperature fields using MESMER. To ensure an optimal tradeoff between accurate characterization of the ensemble spread and storage requirements for large ensembles, this procedure was accompanied by testing the sensitivity of sample quantiles to different ensemble sizes. The resulting dataset offers the unique opportunity to study local and regional climate change impacts of a range of overshoot scenarios, including the timing and magnitude of temperature thresholds exceedance.
Myoelectric Pattern Recognition Performance Enhancement Using Nonlinear Features
Creators: name: Islam, Md. Johirul
name: Ahmad, Shamim
name: Haque, Fahmida
name: Reaz, Mamun Bin Ibne
name: Bhuiyan, Mohammad A. S.
name: Islam, Md. Rezaul
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The multichannel electrode array used for electromyogram (EMG) pattern recognition provides good performance, but it has a high cost, is computationally expensive, and is inconvenient to wear. Therefore, researchers try to use as few channels as possible while maintaining improved pattern recognition performance. However, minimizing the number of channels affects the performance due to the least separable margin among the movements possessing weak signal strengths. To meet these challenges, two time-domain features based on nonlinear scaling, the log of the mean absolute value (LMAV) and the nonlinear scaled value (NSV), are proposed. In this study, we validate the proposed features on two datasets, existing four feature extraction methods, variable window size and various signal to noise ratios (SNR). In addition, we also propose a feature extraction method where the LMAV and NSV are grouped with the existing 11 time-domain features. The proposed feature extraction method enhances accuracy, sensitivity, specificity, precision, and F1 score by 1.00%, 5.01%, 0.55%, 4.71%, and 5.06% for dataset 1, and 1.18%, 5.90%, 0.66%, 5.63%, and 6.04% for dataset 2, respectively. Therefore, the experimental results strongly suggest the proposed feature extraction method, for taking a step forward with regard to improved myoelectric pattern recognition performance.
description: 20 pages, 12 figures, 2 tables
Imaging Of Marfans Syndrome
Creators: name: KULKARNI, ANIRUDDHA
Publisher: name: EURORAD
Year: 2016
Subjects: subject: Cardiac
subject: Musculoskeletal joint
subject: Musculoskeletal spine
subject: CT
subject: Conventional radiography
subject: MR
subject: Imaging sequences
subject: Arthritides
subject: Connective tissue disorders

description: Clinical History Image Findings Discussion Find Diagnosis Differential Diagnosis
description: female, 18 years
description: Clinical History: 18 years old male patient with a h/o breathlessness since 6 months was referred to us for chest X-Ray . There was also a history of chronic lower back pain. In addition to breathlessness and low back pain patient also had a history of numbness in both leg... Final Diagnosis: Marfans Syndrome
Ensayo_Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de Cálculo Integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuado
Creators: name: Ayala, Brigette
Publisher: name: Humanities Commons
Year: 2023

description: Ensayo referente al texto de investigación sobre el uso de texto guía en clases magistrales.
EVALUACIÓN DEL IMPACTO EN LA UTILIZACIÓN DEL LIBRO DE CURSO EN  EL RENDIMIENTO ACADÉMICO ESTUDIANTIL DE LA MATERIA DE CÁLCULO  INTEGRAL, CARRERA DE INGENIERÍA AGRONÓMICA. UNIVERSIDAD CENTRAL  DEL ECUADOR
Creators: name: anahi farinango, amanda
Publisher: name: Humanities Commons
Year: 2023

description: EVALUACIÓN DEL IMPACTO EN LA UTILIZACIÓN DEL LIBRO DE CURSO EN  EL RENDIMIENTO ACADÉMICO ESTUDIANTIL DE LA MATERIA DE CÁLCULO  INTEGRAL, CARRERA DE INGENIERÍA AGRONÓMICA. UNIVERSIDAD CENTRAL  DEL ECUADOR
title: CELL: a Python package for cluster expansion with a focus on complex alloys
Creators: name: Rigamonti, Santiago
name: Troppenz, Maria
name: Kuban, Martin
name: Hübner, Axel
name: Draxl, Claudia
Publisher: name: Humboldt-Universität zu Berlin
Year: 2024
Subjects: subject: Condensed-matter physics
subject: Electronic properties and materials
subject: 004 Informatik

description: We present the Python package CELL , which provides a modular approach to the cluster expansion (CE) method. CELL can treat a wide variety of substitutional systems, including one-, two-, and three-dimensional alloys, in a general multi-component and multi-sublattice framework. It is capable of dealing with complex materials comprising several atoms in their parent lattice . CELL uses state-of-the-art techniques for the construction of training data sets, model selection, and finite-temperature simulations. The user interface consists of well-documented Python classes and modules ( http://sol.physik.hu-berlin.de/cell/ ). CELL also provides visualization utilities and can be interfaced with virtually any ab initio package, total-energy codes based on interatomic potentials, and more. The usage and capabilities of CELL are illustrated by a number of examples, comprising a Cu-Pt surface alloy with oxygen adsorption, featuring two coupled binary sublattices, and the thermodynamic analysis of its order-disorder transition; the demixing transition and lattice-constant bowing of the Si-Ge alloy; and an iterative CE approach for a complex clathrate compound with a parent lattice consisting of 54 atoms.
Noise assisted quantum coherence protection in hierarchical environment
Creators: name: Zhao, Xinyu
name: Ma, Yong-hong
name: Xia, Yan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper, we investigate coherence protection of a quantum system coupled to a hierarchical environment by utilizing noise. As an example, we solve the Jaynes-Cummings (J-C) model in presence of both a classical and a quantized noise. The master equation is derived beyond the Markov approximation, where the influence of memory effects from both noises is taken into account. More importantly, we find that the performance of the coherence protection sensitively depends on the non-Markovian properties of both noises. By analyzing the mathematical mechanism of the coherence protection, we show the decoherence caused by a non-Markovian noise with longer memory time can be suppressed by another Markovian noise with shorter memory time. Last but not least, as an outlook, we try to analyze the connection between the atom-cavity entanglement and the atomic coherence, then discuss the possible clue to search for the required noise. The results presented in this paper show the possibility of protecting coherence by utilizing noise and may open a new path to design noise-assisted coherence protection schemes.
description: 17 pages, 9 figures
EVALUACIÓN DEL IMPACTO EN LA UTILIZACIÓN DEL LIBRO DE CURSO EN EL RENDIMIENTO ACADÉMICO ESTUDIANTIL DE LA MATERIA DE CÁLCULO INTEGRAL, CARRERA DE INGENIERÍA AGRONÓMICA. UNIVERSIDAD CENTRAL DEL ECUADOR
Creators: name: anahi farinango, amanda
Publisher: name: unknown
Year: 2023

description: EVALUACIÓN DEL IMPACTO EN LA UTILIZACIÓN DEL LIBRO DE CURSO EN
EL RENDIMIENTO ACADÉMICO ESTUDIANTIL DE LA MATERIA DE CÁLCULO
INTEGRAL, CARRERA DE INGENIERÍA AGRONÓMICA. UNIVERSIDAD CENTRAL
DEL ECUADOR
Probabilistic fatigue life prediction for bridges using system reliability analysis and SHM-based finite element model updating
Creators: name: Lee, Young-Joo
name: Cho, Soojin
Publisher: name: The University of British Columbia
Year: 2015

description: Fatigue is one of the main causes of bridge failures. A bridge is designed with a particular service life, but after it is constructed, its strength degrades over time. Therefore, to effectively maintain and retrofit a bridge, it is essential to predict its remaining fatigue life. However, doing so is a very challenging task because fatigue life prediction should be based on the current condition of the bridge, and this obviously incurs many uncertainties. In addition, fatigue life prediction should be performed at the system level to take the structural redundancy of a bridge into account. This paper proposes a new approach based on the probabilistic fatigue life prediction of bridges using finite element (FE) model updating based on structural health monitoring (SHM) data. The proposed method involves three steps: (1) identifying the modal parameters of a bridge, such as the natural frequencies and mode shapes, from the ambient vibration under the influence of passing vehicles; (2) updating the structural parameters of an initial FE model using the identified modal parameters; and (3) predicting the probabilistic fatigue life at the system level by employing the updated FE model. The proposed method is applied to a numerical bridge example, and the analysis results are verified by comparing them with the results obtained from a Monte Carlo simulation.
“Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador
Creators: name: anahi tene, estefani
Publisher: name: Humanities Commons
Year: 2023

description: EN ESTE ENSAYO LES EXPLICARE DE COMO SE EMPLEO EL LIBRO EN LA FACULTAD DE CIENCIAS AGRICOLAS EN LA MATERIA DE CALCULO INTEGRAL.
title: Trifunctional sphingomyelin derivatives enable nanoscale resolution of sphingomyelin turnover in physiological and infection processes via expansion microscopy
Creators: name: Rühling, Marcel
name: Kersting, Louise
name: Wagner, Fabienne
name: Schumacher, Fabian
name: Wigger, Dominik
name: Helmerich, Dominic A.
name: Pfeuffer, Tom
name: Elflein, Robin
name: Kappe, Christian
name: Sauer, Markus
name: Arenz, Christoph
name: Kleuser, Burkhard
name: Rudel, Thomas
name: Fraunholz, Martin
name: Seibel, Jürgen
Publisher: name: Humboldt-Universität zu Berlin
Year: 2024
Subjects: subject: Chemical tools
subject: Sphingolipids
subject: 500 Naturwissenschaften und Mathematik

description: Sphingomyelin is a key molecule of sphingolipid metabolism, and its enzymatic breakdown is associated with various infectious diseases. Here, we introduce trifunctional sphingomyelin derivatives that enable the visualization of sphingomyelin distribution and sphingomyelinase activity in infection processes. We demonstrate this by determining the activity of a bacterial sphingomyelinase on the plasma membrane of host cells using a combination of Förster resonance energy transfer and expansion microscopy. We further use our trifunctional sphingomyelin probes to visualize their metabolic state during infections with Chlamydia trachomatis and thereby show that chlamydial inclusions primarily contain the cleaved forms of the molecules. Using expansion microscopy, we observe that the proportion of metabolized molecules increases during maturation from reticulate to elementary bodies, indicating different membrane compositions between the two chlamydial developmental forms. Expansion microscopy of trifunctional sphingomyelins thus provides a powerful microscopy tool to analyze sphingomyelin metabolism in cells at nanoscale resolution.
"Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador
Creators: name: anahi tene, estefani
Publisher: name: unknown
Year: 2023

description: EN ESTE ENSAYO LES EXPLICARE DE COMO SE EMPLEO EL LIBRO EN LA FACULTAD DE CIENCIAS AGRICOLAS EN LA MATERIA DE CALCULO INTEGRAL.
title: Asking for more information: Can recognition-based enhancements (RBE) made to internal facial features produce more accurate composites?
Creators: name: Ellison, Lauren Elizabeth
Publisher: name: University of Central Lancashire
Year: 2024

description: Research focused around investigative interviewing techniques demonstrate that offering witnesses multiple opportunities to retrieve information about a crime can, considerably, improve the accuracy of information recalled from memory. However, this advantageous effect has yet to be explored in the context of composite construction. Taking this gap into consideration, the primary objective of this thesis is to investigate whether providing witnesses with further opportunity to make recognition-based enhancements (RBE) to the internal facial features of a composite, leads to subsequent improvements in composite accuracy. Across four experiments, participants were presented with an unfamiliar target face (for 60 seconds) and then constructed a composite (Experiment 1, 2 and 3: 24 hours later; Experiment 4: 3-4 hours later). Participants were randomly assigned to one of four Accumulated EvoFIT Stages (AEFS), each offering a different level of opportunity to make RBE to the face: AEFS A: involved choosing the “best” face from arrays: AEFS B: involved AEFS A, plus use of Holistic Scales: AEFS C: involved AEFS B, plus use of the Shape Tool: AEFS D: involved AEFS C, plus use of Holistic Scales for internal facial features. Experiment 1, 2 and 3 revealed that composites constructed with fewer opportunities to make RBE to internal facial features, tended to have a stronger likeness towards the target face. However, Experiment 4 revealed a noteworthy finding that, when used in combination with a holistic-cognitive interview (H-CI) and a short retention interval (3-4 hours), composites constructed with a greater opportunity to make RBE produced more accurate composites. The series of experiments suggest that the incorporation of particular interviewing techniques, and the careful optimisation of timing, can substantially enhance the accuracy of facial composites. An implication drawn from these findings is that the most accurate composites were produced when a retention interval of 3-4 hours was adopted, a timeframe that may not always be achievable to replicate in a real-world setting due to police resources.
Ensayo sobre el Artículo "Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador"
Creators: name: Abigail Pillajo Palomino, Anahi
Publisher: name: Humanities Commons
Year: 2023

description: ensayo sobre el Artículo "Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador"
TAXIKARDIYASI MAVJUD QON BOSIMI BO`LGAN XOMILADOR AYOLLARDA HOLTER-EKG VA 24 SOATLIK QON BOSIMI MONITORINGI ORQALI β-BLOKATORLARNING SAMARADORLIGINI BAHOLASH
Creators: name: O`rinov, Abdulaziz
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqola qon bosimi (AG) va taxikardiya (YQS>90 d\u) bilan og'rigan homilador ayollarda β-blokatorlarni qo'llash samaradorligini baholashga bag'ishlangan. Preparatning homiladorlik davrida yurak-qon tomir tizimiga ta'sirini xolis baholash uchun Holter-EKG monitoringi va 24 soatlik qon bosimi monitoringi kabi zamonaviy usullaridan foydalanilgan.
Editorial on Research Topic: High-Tc Superconductivity in Electron-Doped Iron Selenide and Related Compounds
Creators: name: Rodriguez, Jose P.
name: Inosov, Dmytro S.
name: Zhao, Jun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In this editorial, we first give a brief survey of the field of iron-selenide superconductivity, both in the case of bulk FeSe characterized by the co-existence of superconductivity and nematic order, and in the case of electron-doped FeSe characterized by high-temperature superconductivity. We next review the 8 contributions to the Frontiers in Physics research topic "High-Tc Superconductivity in Electron-Doped Iron Selenide and Related Compounds".
description: 3 pages
ESCM$^2$: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation
Creators: name: Wang, Hao
name: Chang, Tai-Wei
name: Liu, Tianqiao
name: Huang, Jianmin
name: Chen, Zhichao
name: Yu, Chao
name: Li, Ruopeng
name: Chu, Wei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Accurate estimation of post-click conversion rate is critical for building recommender systems, which has long been confronted with sample selection bias and data sparsity issues. Methods in the Entire Space Multi-task Model (ESMM) family leverage the sequential pattern of user actions, i.e. $impression\rightarrow click \rightarrow conversion$ to address data sparsity issue. However, they still fail to ensure the unbiasedness of CVR estimates. In this paper, we theoretically demonstrate that ESMM suffers from the following two problems: (1) Inherent Estimation Bias (IEB), where the estimated CVR of ESMM is inherently higher than the ground truth; (2) Potential Independence Priority (PIP) for CTCVR estimation, where there is a risk that the ESMM overlooks the causality from click to conversion. To this end, we devise a principled approach named Entire Space Counterfactual Multi-task Modelling (ESCM$^2$), which employs a counterfactual risk miminizer as a regularizer in ESMM to address both IEB and PIP issues simultaneously. Extensive experiments on offline datasets and online environments demonstrate that our proposed ESCM$^2$ can largely mitigate the inherent IEB and PIP issues and achieve better performance than baseline models.
Ensayo sobre el Artículo "Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador"
Creators: name: Abigail Pillajo Palomino, Anahi
Publisher: name: unknown
Year: 2023

description: ensayo sobre el Artículo "Evaluación del impacto en la utilización del libro de curso en el rendimiento académico estudiantil de la materia de cálculo integral, carrera de Ingeniería Agronómica. Universidad Central del Ecuador"
The Resources of Human Activity Recognition using Hybrid AI Models in Smart Homes
Creators: name: Researchscholar
Publisher: name: Zenodo
Year: 2025

description: Human Activity Recognition (HAR) has become a pivotal component in the development of intelligent environments, particularly within the context of smart homes. HAR systems enable devices to understand and respond to occupants’ behaviors, enhancing comfort, security, healthcare monitoring, and energy efficiency. Traditional HAR models often rely on either sensor-based or vision-based data, each with inherent limitations. Recent advances in Artificial Intelligence (AI), particularly hybrid models that integrate machine learning, deep learning, and rule-based systems, have significantly improved activity recognition accuracy and adaptability. This paper explores the foundational technologies behind HAR, focusing on hybrid AI architectures that combine various data modalities and learning paradigms. It discusses use cases such as elderly care, anomaly detection, personalized automation, and health monitoring. Case studies from real-world implementations are analyzed to demonstrate the practical benefits and outcomes of hybrid HAR systems. Ethical and regulatory considerations, including privacy, consent, and data security, are critically examined. The paper also outlines key challenges such as sensor noise, user variability, and real-time processing constraints. Finally, it explores future innovations in edge computing, federated learning, and context-aware reasoning that promise to further enhance HAR in smart living environments.