bluuebunny/crossref_metadata_2025_split huggingface dataset:
Singer’s algebraic transfer for all ranks s in some degrees and the negation of the dimension results for the graded spaces F2 ⊗ AF2 [x1,...,xs] in degrees s+ 5
Authors: Võ Phúc Đặng 
Published: August 2022

<p>Let Ps:=F2[x1,x2,...,xs] be the graded polynomial algebra over the prime field of two elements,F2, insvariables x1,x2,...,xs, each of degree one. This algebra is considered as a graded moduleover the mod-2 Steenrod algebra, A. The classical "hit problem", initiated by Frank Peterson[Abstracts Amer. Math. Soc. 833 (1987), 55-89], concerned with seeking a minimal set of A-module Ps. Equivalently, when F2 is an A-module concentrated in degree 0, one can write downexplicitly a monomial basis for theZ-graded vector space overF2:</p>
<p> QPs:=F2⊗APs=Ps/A+·Ps,</p>
<p>where A+ denotes the augmentation ideal of A.The problem is unresolved in general. In thispaper, we study the hit problem for Ps with s>5. More explicitly, we first compute explicitly thedimension of QPs for s= 5 in the generic degree 21·2t−5witht= 1. Note that the problem when t= 0 was solved by Nguyễn Sum [Vietnam J. Math. 49 (2021), 1079-1096]. Next, we shall reject aresult of Meshack Moetele and Mbakiso Fix Mothebe [East-West Journal of Mathematics 18 (2016),151-170] on the dimension of QPs in degreess+ 5 for 8< s<9. We also give an explicit formula forthe dimension of QPs in degree 14 for alls >0 and in degree 15 for all s >0, s,10. In addition, a conjecture on the dimension of QPs in degree 2s−1−s has been given. As applications, weinvestigate William Singer’s conjecture [Math. Z. 202 (1989), 493-523] on the algebraic transfer of rank 5 in degrees 21·2t−5 for all t>0 and of ranks s >0 in internal degreesd, 130}and{D1(t) = (Sq0)t(D1(0))∈Ext5,57·2tA(F2,F2)|t>0} belongs to theimage of the algebraic transfer of rank 5. We also study the behavior of the algebraic transfer of rank 7 in the generic degrees 23·2t−7 fort= 0and`·2t−7for`∈ {9,16}, t63. Our results then claim that the non-zero elements Pc0∈Ext7,23·20A(F2,F2), k0=k∈Ext7,9·22A(F2,F2)and h0} belongs to the image of the transfer.</p>
Deep Learning-Aided Optimization of Multi-Interface Allocation for Short-Packet Communications
Authors: De Oliveira Hugo , Kaneko Megumi , Boukhatem Lila , Fukuda Ellen Hidemi 
Published: August 2022

<p> The severe spectrum scarcity and the stringent requirements of Beyond 5G applications call for an integrated use of low frequency Sub-6 GHz and high frequency millimeter Wave bands. Focusing on future Internet of Things (IoT) Short-Packet Communications (SPC), this paper investigates the optimized usage of such diverse wireless interfaces. We propose an unifying framework devoted to SPC that jointly optimizes the user partitioning over each band, and the radio resource scheduling within each band. Leveraging Deep Reinforcement Learning (DRL) tools, the proposed method enables to better tackle the challenges imposed by dynamically varying mobile environments such as the Line-of-Sight situations of each link, and the heterogeneity of individual Quality of Service (QoS) requirements, such as rate, delay and reliability. Regarding the DRL-based user partitioning to each band, we have investigated three different types of partitioning actions to obtain a high network performance as well as a rapid convergence. Regarding the proposed sub-schedulers within each band, we designed two optimization methods, i.e., one that leverages Difference of Convex Programming (DCP) technique, and the second that accelerates convergence to a local optimum. Numerical evaluations show that the proposed methods outperform conventional approaches in terms of sum-rate and QoS outage probabilities. </p>
FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network
Authors: Abegaz Mohammed , Erbad aiman , Nahom Hayla , Albaseer Abdullatif , Abdallah Mohamed , Guizani Mohsen 
Published: August 2022

<p>In 6G networks, unmanned aerial vehicles (UAVs) can serve as aerial flying base stations (AFBS) with aerial mobile edge computing (AMEC) server capabilities. AFBS is an increasingly popular solution for delivering time-sensitive applications, extending network coverage, and assisting ground base stations in the healthcare systems for remote areas with limited infrastructure. Furthermore, the UAVs are deployed in the healthcare system to support the Internet of medical things (IoMT) devices in data collection, medical equipment distribution, and providing smart services. However, ensuring the privacy and security of patients' data with the limited UAV resources is a major challenge. In this paper, we present a federated deep reinforcement learning framework for resource allocation in UAV-enabled healthcare systems, where IoMT devices send their trained model parameters without transmitting sensitive raw data to the AMEC server. In the proposed framework, the IoMT device is associated with AFBS based on the quality of the data and its demand in order to maximize learning efficiency and accuracy. This work aims to minimize the computation costs of the IoMT devices while considering UAV resources and the fairness of UAV coverage. Simulation results prove that our proposed algorithm outperforms other baseline algorithms in learning accuracy and computational cost.</p>
CLEP: Contrastive Learning for Epileptic Seizure Prediction Using a Spatio-Temporal-Spectral Network
Authors: guo lianghui , Yu Tao 
Published: August 2022

<p> Seizure prediction of epileptic preictal period through electroencephalogram (EEG) signals is important for clinical epilepsy diagnosis. However, recent deep learning-based methods commonly employ intra-subject training strategy and need sufficient data, which are laborious and time-consuming for a practical system and pose a great challenge for seizure predicting. Besides, multi-domain characterizations, including spatio-temporal?spectral dependencies in an epileptic brain are generally neglected or not considered simultaneously in current approaches, and this insufficiency commonly leads to suboptimal seizure prediction performance. To tackle the above issues, in this paper, we propose Contrastive Learning for Epileptic seizure Prediction (CLEP) using a Spatio-Temporal-Spectral Network (STS-Net). Specifically, the CLEP learns intrinsic epileptic EEG patterns across subjects by contrastive learning. The STS-Net extracts multi-scale temporal and spectral representations under different rhythms from raw EEG signals. Then, a novel triple attention layer (TAL) is employed to construct inter?dimensional interaction among multi-domain features. Moreover, a spatio dynamic graph convolution network (sdGCN) is proposed to dynamically model the spatial relationships between electrodes and aggregate spatial information. The proposed CLEP-STS-Net achieved a sensitivity of 96.7% and a false prediction rate of 0.072/h on the CHB-MIT scalp EEG database. We also validate the proposed method on clinical intracranial EEG (iEEG) database from the Xuanwu Hospital of Capital Medical University, and the predicting system yielded a sensitivity of 95%, a false prediction rate of 0.087/h. The experimental results outperform the state-of-the-art studies which validate the efficacy of our method. Our code is available at https://github.com/LianghuiGuo/CLEP-STS-Net. Index Terms—EEG, contrastive learning, spatio?temporal-spectral dependencies, dynamic graph convolution, triple attention, seizure prediction </p>
Drone Audition: Audio Signal Enhancement from Drone Embedded Microphones
Authors: Manamperi Wageesha , Abhayapala Thushara , Samarasinghe Prasanga , Zhang Jihui (Aimee) 
Published: August 2022

<p>In this paper, we consider the problem of recovering desired sound source signals from on-board microphone recordings on a noisy drone. Enhancement of source signal degraded by drone noise is considered to be a difficult task due to the strong noise generated from its motors and propellers causing an extremely low signal-to-drone noise ratio (SDNR). We propose a solution (i) by using a multichannel Wiener filter (MWF) to remove drone noise from microphone recordings, and (ii) further reduction of residual noise using a Gaussian mixture model (GMM) based dual-stage parametric Wiener filter (WF). The method exploits known statistics of motor current-specific drone noise. The theory developed is applicable to irregular microphone arrays embedded on a drone enabling realistic integration to most drones. We demonstrate the validity of the proposed framework through (i) experimental recordings from two different drone acoustics datasets and (ii) outdoor measurements from a hovering drone for a bioacoustic application. The results confirm improved performance in terms of SDNR, speech quality (PESQ), and intelligibility (STOI) at very low SDNR levels (up to -30 dB) and show a strong potential for signal enhancement applications using noisy drones.</p>
PRINSIP EDUPRENEURSHIP MENURUT PERSPEKTIF ISLAM
Authors: Nur Ridha Raudah , Subiyantoro Subiyantoro 
Published: August 2022

The purpose of this reseach is to know the principle of edupreneurship according to the Islamic perspertive. The reseach method that the author uses is qualitative-descriptive with a library research approach. The data collection technique here is documentation. that the principles of edupreneurship in the view of Islam are to optimize the various potentials possessed in order to produce scientific added value as well as relevant economic added value in the field of Islamic education. Islamic edupreneurship will develop students' habits in entrepreneurship to remain creative and innovative, such as writing books according to their respective interests and fields, or carrying out other activities that can provide added value economically. As a result, it will bring students to change who initially as users then turn into producers. The results of the research from the principle of edupreneurship according to this Islamic perspective are self-confidence, initiative in an energetic sense, focus on tasks and results, far-sighted, leadership spirit, dare to take risks, calculating, communicative, reflective, originality, innovative, creative, flexible. wise in making policies and decisions. Keywords: Edupreneurship, Islam
THE EFFECT OF THINK ALOUD STRATEGY ON STUDENTS’ READING COMPREHENSION AT THE TENTH GRADE OF SMK SWASTA SITI BANUN
Authors: Rusli Muhammad , Harahap Anna Leli , Rambe Shopiah Anggraini , Rahmadhani Desi 
Published: August 2022

This study aims to determine the effect of think aloud strategy on students’ reading comprehension at the tenth grade of smk swasta siti banun. The data collection technique was used to measure students’ learning outcomes in the form of assignment questions carried out on the pretest and posttest. The data analysis technique used is normality test using F test, homogeneity test and hypothesis testing using t test. The hypothesis in this study was tested by t-test at a significant level = 0.05. From the calculation of the data it was seen that t-count > t-table (3,41> 1,67). Thus the null hypothesis is that Ho is rejected and Ha is accepted. From the results, it can be concluded that there is a significant effect of Think Aloud Strategy on Students’ Reading Comprehension at Tenth Grade of SMK Swasta Siti BanunKeywords: Reading comprehension; Think Aloud Strategy; Thinking Hard.
THE USE OF TIME TOKEN METHOD IN IMPROVING STUDENTS’ SPEAKING SKILL AT THE SECOND GRADE OF ISLAMIC SENIOR HIGH SCHOOL MAN BANTAENG
Authors: Mappa Andi Anugrah , Karmila Lilis 
Published: August 2022

This research aims to find out whether or not the implementation time token method is effective to improve the students’ speaking skill in term of fluency and accuracy at the second grade of Islamic senior high school MAN Bantaeng. This research used pre-experimental method. The population of this research consists of the second grade and the sample of the research is XI IIS 2 consists of 16 students at MAN Banteng, year 2021/2022. In collecting the data, the researcher gave a speaking test there was pre-test and post-test, while to analyze the data the researcher used t-test. The result of this researcher showed that the mean score in pre-test for fluency was 1.18 and post-test was 2.9. The mean score in pre-test for accuracy was 1.43 and in post-test was 3. And the total mean score of students’ speaking skill in pre-test was 2.6 and post-test 6. The degree of freedom significance 5% was 2.131 it was higher than the result of the significance difference of the post test that was 10,088. It means that by applying time token method in teaching speaking can help in improve the students’ speaking skill. Thus, concluded that improving students’ speaking skill is significantly better after getting treatment. So the alternative hypothesis is accepted and the null hypothesis is rejected. Therefore, it is proven that time token method can improve the students’ speaking skill.
A Review of C. Oguz’s Moral Crisis in the Ottoman Empire: Society, Politics, and Gender during World War I (London, I. B. Tauris Publ., 2021, 248 p.)
Authors: Богомолов И.К. 
Published: August 2022

В рецензии анализируется монография Чигдем Огюз о «моральном кризисе» в Османской империи, случившемся в годы Первой мировой войны. Констатируется, что автор изначально не ставил своей целью подробное и всестороннее исследование общественных настроений в Турции в указанный период. Более вероятно, что речь идет о самосознании османским обществом своего состояния, в частности, подверглось ли оно «моральному разложению» и каковы пути выхода из этого состояния. Монография Огюз не охватывает все позднеосманское общество, в ней не привлекаются арабские источники и в целом рассматривается только население турецкого «ядра» империи. Несмотря на это, автору удалось обстоятельное, информативное и интересное исследование.
The review analyzes Cigdem Oguz’s monograph about the moral crisis in the Ottoman Empire during World War I. The article states that the author of the monograph did not intend to present a comprehensive and detailed research of the situation in Turkey during the aforementioned period. The bookfocuses on whether people of the Ottoman Empire could see their moral corruption and how they could deal with it. The monograph only analyzes the late Ottoman society, it doesn’t analyze Arab sources and only investigates Turkish community as the core stratum of the Ottoman Empire. Despite this the author manages to present an interesting and informative research.
Dynamics of the Concept ELDERLY PERSON in American Institutional Discourse
Authors: Чупрына О.Г. 
Published: August 2022

Целью представленного исследования является установление хронологически последовательных изменений в языковой концептуализации представлений о человеке пожилого возраста в американском институциональном дискурсе. Материалом исследования послужили тексты посланий американских президентов Конгрессу США 1908–1920 годов, официальные документы о пожилых людях общественных комитетов и комитетов Сената США за 1965, 2006 и 2019 годы. Тексты подвергались контент-анализу. Использован когнитивно-матричный метод. Установлены динамически меняющиеся когнитивные контексты EFFICIENCY, GOVERNMENT, JUSTICE, RIGHTS, HEALTH, ABUSE и подтверждена смысловая динамичность ядра матрицы. Результаты исследования расширяют теоретические основы изучения различных форматов знания, имеющих языковую репрезентацию. Материал и выводы, содержащиеся в работе, могут найти применение в курсах по дискурсивным практикам и дискурс-анализу, читаемых на уровне магистратуры и аспирантуры.
The paper addresses the problem of language and discourse representation of ageing and the aged as a social issue and cognitive phenomenon, which has been understudied so far. Knowledge about the aged being multi-faceted, cognitive matrix approach is applied to the analysis of its linguistic implementation. The study is focused on American social institutions discourse devoted to the aged during the period from 1908 to 2006. The research material are texts of American Presidents’ Messages to the Senate and House of Representatives, Older Americans Acts, documents of US Senate Special Committee on Aging. Matrix analysis reveals that knowledge about the aged shaped during the first two decades of the XXth century was embedded into three cognitive contexts EFFICIENCY, GOVERNMENT, JUSTICE, by the end of the XXth — beginning of the XXIst century their number increased by another three contexts RIGHTS, HEALTH, ABUSE. In each context, meanings and senses are not rigid and vary with time. Meanings incorporated into the matrix core relate to the mental subject — the aged — and change from too old for work, service, or a position to older people of our nation. Material and research conclusions can be used in university courses on discourse practice and discourse analysis.
A Uniform Retrieval Analysis of Ultra-cool Dwarfs. IV. A Statistical Census from 50 Late-T Dwarfs
Authors: Zalesky Joseph A. , Saboi Kezman , Line Michael R. , Zhang Zhoujian , Schneider Adam C. , Liu Michael C. , Best William M. J. , Marley Mark S. 
Published: August 2022

Abstract
The spectra of brown dwarfs are key to exploring the chemistry and physics that take place in their atmospheres. Late-T dwarf spectra are particularly diagnostic, due to their relatively cloud-free atmospheres and deep molecular bands. With the use of powerful atmospheric retrieval tools applied to the spectra of these objects, direct constraints on molecular/atomic abundances, gravity, and vertical thermal profiles can be obtained, enabling a broad exploration of the chemical/physical mechanisms operating in their atmospheres. We present a uniform retrieval analysis on low-resolution Infrared Telescope Facility SpeX near-infrared spectra for a sample of 50 T dwarfs, including new observations as part of a recent volume-limited survey. This analysis more than quadruples the sample of T dwarfs with retrieved temperature profiles and abundances (H2O, CH4, NH3, K, and subsequent C/O and metallicities). We are generally able to constrain the effective temperatures to within 50 K, the volume mixing ratios for major species to within 0.25 dex, the atmospheric metallicities [M/H] to within 0.2, and the C/O ratios to within 0.2. We compare our retrieved constraints on the thermal structures, chemistry, and gravities of these objects with predictions from self-consistent radiative-convective equilibrium models and find, in general, though with substantial scatter, consistency with solar composition chemistry and the thermal profiles of the neighboring stellar FGK population. Objects with notable discrepancies between the two modeling techniques and potential mechanisms for their differences, be they related to the modeling approach or physically motivated, are discussed more thoroughly in the text.
Global Modeling of Nebulae with Particle Growth, Drift, and Evaporation Fronts. II. The Influence of Porosity on Solids Evolution
Authors: Estrada Paul R. , Cuzzi Jeffrey N. , Umurhan Orkan M. 
Published: August 2022

Abstract
Incremental particle growth in turbulent protoplanetary nebulae is limited by a combination of barriers that can slow or stall growth. Moreover, particles that grow massive enough to decouple from the gas are subject to inward radial drift, which could lead to the depletion of most disk solids before planetesimals can form. Compact particle growth is probably not realistic. Rather, it is more likely that grains grow as fractal aggregates, which may overcome this so-called radial drift barrier because they remain more coupled to the gas than compact particles of equal mass. We model fractal aggregate growth and compaction in a viscously evolving solar-like nebula for a range of turbulent intensities α
t = 10−5–10−2. We do find that radial drift is less influential for porous aggregates over much of their growth phase; however, outside the water snowline fractal aggregates can grow to much larger masses with larger Stokes numbers more quickly than compact particles, leading to rapid inward radial drift. As a result, disk solids outside the snowline out to ∼10–20 au are depleted earlier than in compact growth models, but outside ∼20 au material is retained much longer because aggregate Stokes numbers there remain lower initially. Nevertheless, we conclude even fractal models will lose most disk solids without the intervention of some leapfrog planetesimal forming mechanism such as the streaming instability (SI), though conditions for the SI are generally never satisfied, except for a brief period at the snowline for α
t = 10−5.
X-Ray Redshifts of Obscured Chandra Source Catalog Active Galactic Nuclei
Authors: Sicilian Dominic , Civano Francesca , Cappelluti Nico , Buchner Johannes , Peca Alessandro 
Published: August 2022

Abstract
We have computed obscured active galactic nuclei (AGN) redshifts using the XZ method, adopting a broad treatment in which we employed a wide-ranging data set and worked primarily at the XZ counts sensitivity threshold, culminating with a redshift catalog containing 121 sources that lack documented redshifts. We considered 363 obscured AGN from the Chandra Source Catalog Release 2.0, 59 of which were selected using multiwavelength criteria while 304 were X-ray selected. One third of the data set had crossmatched spectroscopic or photometric redshifts. These sources, dominated by low-z and low-N

H
AGN, were supplemented by 1000 simulations to form a data set for testing the XZ method. We used a multilayer perceptron neural network to examine and predict cases in which XZ fails to reproduce the known redshift, yielding a classifier that can identify and discard poor redshift estimates. This classifier demonstrated a statistically significant ∼3σ improvement over the existing XZ redshift information gain filter. We applied the machine-learning model to sources with no documented redshifts, resulting in the 121 source new redshift catalog, all of which were X-ray selected. Our neural network’s performance suggests that nearly 90% of these redshift estimates are consistent with hypothetical spectroscopic or photometric measurements, strengthening the notion that redshifts can be reliably estimated using only X-rays, which is valuable to current and future missions such as Athena. We have also identified a possible Compton-thick candidate that warrants further investigation.
The Missing Satellite Problem outside of the Local Group. II. Statistical Properties of Satellites of Milky Way–like Galaxies
Authors: Nashimoto Masashi , Tanaka Masayuki , Chiba Masashi , Hayashi Kohei , Komiyama Yutaka , Okamoto Takashi 
Published: August 2022

Abstract
We present a new observation of satellite galaxies around seven Milky Way (MW)–like galaxies located outside of the Local Group (LG) using Subaru/Hyper Suprime-Cam imaging data to statistically address the missing satellite problem. We select satellite galaxy candidates using magnitude, surface brightness, Sérsic index, axial ratio, FWHM, and surface brightness fluctuation cuts, followed by visual screening of false positives such as optical ghosts of bright stars. We identify 51 secure dwarf satellite galaxies within the virial radius of nine host galaxies, two of which are drawn from the pilot observation presented in Paper I. We find that the average luminosity function of the satellite galaxies is consistent with that of the MW satellites, although the luminosity function of each host galaxy varies significantly. We observe an indication that more massive hosts tend to have a larger number of satellites. Physical properties of the satellites such as the size–luminosity relation are also consistent with the MW satellites. However, the spatial distribution is different; we find that the satellite galaxies outside of the LG show no sign of concentration or alignment, while that of the MW satellites is more concentrated around the host and exhibits a significant alignment. As we focus on relatively massive satellites with M

V
< −10, we do not expect that the observational incompleteness can be responsible here. This trend might represent a peculiarity of the MW satellites, and further work is needed to understand its origin.