cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Polish topology of the isometry group of the infinite dimensional hyperbolic space
Creators: name: Duchesne, Bruno
Publisher: name: arXiv
Year: 2020
Subjects: subject: Group Theory (math.GR)
subject: Dynamical Systems (math.DS)
subject: Metric Geometry (math.MG)
subject: FOS: Mathematics

description: We consider the isometry group of the infinite dimensional separable hyperbolic space with its Polish topology. This topology is given by the pointwise convergence. For non-locally compact Polish groups, some striking phenomena like automatic continuity or extreme amenability may happen. Our leading idea is to compare this topological group with usual Lie groups on one side and with non-Archimedean infinite dimensional groups like $\mathcal{S}_\infty$, the group of all permutations of a countable set on the other side. Our main results are Automatic continuity (any homomorphism to a separable group is continuous), minimality of the Polish topology, identification of its universal Furstenberg boundary as the closed unit ball of a separable Hilbert space with its weak topology, identification of its universal minimal flow as the completion of some suspension of the action of the additive group of the reals on its universal minimal flow. All along the text, we lead a parallel study with the sibling group of isometries of a separable Hilbert space.
description: After a first version of this paper, Todor Tsankov asked if the topology is minimal. A positive answer has been added to this second version
On the wall-crossing formula for quadratic differentials
Creators: name: Allegretti, Dylan G. L.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Geometric Topology (math.GT)
subject: High Energy Physics - Theory (hep-th)
subject: Algebraic Geometry (math.AG)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We prove an analytic version of the Kontsevich-Soibelman wall-crossing formula describing how the number of finite-length trajectories of a quadratic differential jumps as the differential is varied. We characterize certain birational automorphisms of an algebraic torus appearing in this wall-crossing formula using Fock-Goncharov coordinates. As an application, we compute the Stokes automorphisms for the Voros symbols appearing in the exact WKB analysis of Schrödinger's equation.
description: 37 pages. Version 2: Incorporated suggestions from referee
St Mary’s church in Nowy Kościół (Neukirch) in relation to sacral architecture from the 1st half of 13th century
Creators: name: Biczak, Grzegorz
name: Rabiega, Mateusz
name: Rębisz, Paweł
Publisher: name: Faculty of Architecture, Wrocław University of Technology, Wrocław
Year: 2019
Subjects: Nowy Kościół, village, parish church, medieval, portal

description: ARCHITECTUS; ISSN 1429-7507
Mitigating controller noise in quantum gates using optimal control theory
Creators: name: Aroch, Aviv
name: Kosloff, Ronnie
name: Kallush, Shimshon
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: All quantum systems are subject to noise from the environment or external controls. This noise is a major obstacle to the realization of quantum technology. For example, noise limits the fidelity of quantum gates. Employing optimal control theory, we study the generation of quantum single and two-qubit gates. Specifically, we explore a Markovian model of phase and amplitude noise, leading to the degradation of the gate fidelity. We show that optimal control with such noise models generates control solutions to mitigate the loss of gate fidelity. The problem is formulated in Liouville space employing an extremely accurate numerical solver and the Krotov algorithm for solving the optimal control equations.
Complete intersections and mod p cochains
Creators: name: Benson, D. J.
name: Greenlees, J. P. C.
name: Shamir, S.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 55P62, 13C40

description: We give homotopy invariant definitions corresponding to three well known properties of complete intersections, for the ring, the module theory and the endomorphisms of the residue field, and we investigate them for the mod p cochains on a space, showing that suitable versions of the second and third are equivalent and that the first is stronger. We are particularly interested in classifying spaces of groups, and we give a number of examples. This paper follows on from arXiv:0906.4025 which considered the classical case of a commutative ring and arXiv:0906.3247 which considered the case of rational homotopy theory.
description: To appear in AGT
title: La vaccination contre le Papillomavirus vue par les parents
title: La vaccination contre le Papillomavirus vue par les parents
titleType: AlternativeTitle
Creators: name: Simon, Mélanie
name: Mar Burnier, Ludivine
Publisher: name: Unknown
Year: 0
Subjects: subject: Vaccination
subject: HPV
subject: Papillomavirus

description: Dans ce travail de Bachelor, nous avons été amenées à effectuer une revue de littérature pour explorer le point de vue des parents sur la vaccination contre le papillomavirus (HPV). Nous avons donc choisi la question de recherche suivante : quelles sont les perceptions des parents d’enfants en âge d’être vaccinés au sujet du vaccin contre le HPV ? Méthode : Nous avons utilisé les bases de données PubMed et Cinahl pour rechercher des articles sur ce thème. Six articles, de devis qualitatifs, ont été retenus afin de mieux comprendre le ressenti des parents. Notre analyse a été mise en lien avec la théorie intermédiaire de l'auto efficacité de Bandura.
India’s response to COVID-19 and Migration Challenges.pdf
Creators: name: Mohd Salman Kavish
Publisher: name: figshare
Year: 2021
Subjects: subject: 160303 Migration
subject: FOS: Sociology

description: With the unexpected onset of COVID-19 while the world was trying to safeguard and address the socio-economic impact of the pandemic, India was struggling with another unfortunate issue of reverse migration. In India, ninety per cent of the workers are employed in the unorganized sector. The outbreak of COVID-19 forced migrant workers to shift from urban areas to their native places. With the declaration of the lockdown, millions of these workers were left unemployed and with no savings. This article is an attempt to analyze the reverse migration issue that occurred because of COVID crisis and its impact on migrant laborers that also led to the loss of livelihood of these migrants. The article also emphasizes India’s response to COVID-19, how did India respond to the situation prior to lockdown, and how did Central and State Government respond to challenges faced by the migrant laborers.
Архивные копии к статье "Рейтинги медицинских, фармацевтических и ветеринарных ВУЗов в "ТОП-200 Украина" на подконтрольных территориях как показатель результатов военного конфликта и реформы медицинского образования"
Creators: name: Сергеевич, Шевченко Александр
Publisher: name: Zenodo
Year: 2018
Subjects: МОЗ України
реформа медичної освіти

description: Архивные копии к статье [Шевченко А.С. Рейтинги медицинских, фармацевтических и ветеринарных ВУЗов в "ТОП-200 Украина" на подконтрольных территориях как показатель результатов военного конфликта и реформы медицинского образования // Вестник Харьковского Регионального Института Проблем Общественного Здравоохранения, №5(85). - Украина, Харьков: ХРИПОЗ, 2018. - С. 37-54]:

Стратегію розвитку медичної освіти України та її громадське обговорення

http://doi.org/10.5281/zenodo.2652536

1. КМУ, новини: МОЗ України оприлюднило для громадського обговорення Стратегію розвитку медичної освіти (укр.) / Єдиний вєб-портал органів виконавчої влади України gov.ua,  12 вересня 2018 року.

https://www.kmu.gov.ua/ua/news/moz-ukrayini-oprilyudnilo-dlya-gromadskogo-obgovorennya-strategiyu-rozvitku-medichnoyi-osviti

2. Проект Розпорядження Кабінету міністрів України "Про схвалення Стратегії розвитку медичної освіти в Україні"

http://moz.gov.ua/uploads/1/7066-14_08_strategia.pdf

3. [Презентація стратегії: Розвитку медичної освіти // МОЗ України, 12 вересня 2018 року. - 29 c. http://moz.gov.ua/uploads/1/7077-prezentacia_1.pdf]

4. [Стратегія розвитку медичної освіти в Україні // МОЗ України, 12 вересня 2018 року. - 40 c. https://drive.google.com/file/d/1heYSAzOv-dbK0m0qXK-01Ks-oieXwyHG/view]

5. Стратегія розвитку медичної освіти в Україні. Громадське обговорення // МОЗ України, 12 вересня 2018. http://moz.gov.ua/article/public-discussions/strategija-rozvitku-medichnoi-osviti-v-ukraini
Estimating Seroprevalence of SARS-CoV-2 in Ohio: A Bayesian Multilevel Poststratification Approach with Multiple Diagnostic Tests
Creators: name: Kline, David
name: Li, Zehang
name: Chu, Yue
name: Wakefield, Jon
name: Miller, William C.
name: Turner, Abigail Norris
name: Clark, Samuel J
Publisher: name: arXiv
Year: 2020
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Globally the SARS-CoV-2 coronavirus has infected more than 59 million people and killed more than 1.39 million. Designing and monitoring interventions to slow and stop the spread of the virus require knowledge of how many people have been and are currently infected, where they live, and how they interact. The first step is an accurate assessment of the population prevalence of past infections. There are very few population-representative prevalence studies of the SARS-CoV-2 coronavirus, and only two American states -- Indiana and Connecticut -- have reported probability-based sample surveys that characterize state-wide prevalence of the SARS-CoV-2 coronavirus. One of the difficulties is the fact that the tests to detect and characterize SARS-CoV-2 coronavirus antibodies are new, not well characterized, and generally function poorly. During July, 2020, a survey representing all adults in the State of Ohio in the United States collected biomarkers and information on protective behavior related to the SARS-CoV-2 coronavirus. Several features of the survey make it difficult to estimate past prevalence: 1) a low response rate, 2) very low number of positive cases, and 3) the fact that multiple, poor quality serological tests were used to detect SARS-CoV-2 antibodies. We describe a new Bayesian approach for analyzing the biomarker data that simultaneously addresses these challenges and characterizes the potential effect of selective response. The model does not require survey sample weights, accounts for multiple, imperfect antibody test results, and characterizes uncertainty related to the sample survey and the multiple, imperfect, potentially correlated tests.
GURDJIEFF & OUSPENSKY EUROCENTRICISM AND VEDANTA
Creators: name: Dr. Alan Wenham-Prosser
Publisher: name: Zenodo
Year: 2019
Subjects: Eurocentricism, Ouspensky, Gurdjieff, Advaita Vedanta, Sanatana Dharma,

description: Both G.I. Gurdjieff and P. d. Ouspensky were influential in the way eastern philosophy was understood in the UK and Europe in the 20th century. This paper examines the errors and misunderstandings which were spread through the UK philosophy schools which followed on from these men.
Copernicus: Characterizing the Performance Implications of Compression Formats Used in Sparse Workloads
Creators: name: Asgari, Bahar
name: Hadidi, Ramyad
name: Dierberger, Joshua
name: Steinichen, Charlotte
name: Marfatia, Amaan
name: Kim, Hyesoon
Publisher: name: arXiv
Year: 2020
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Sparse matrices are the key ingredients of several application domains, from scientific computation to machine learning. The primary challenge with sparse matrices has been efficiently storing and transferring data, for which many sparse formats have been proposed to significantly eliminate zero entries. Such formats, essentially designed to optimize memory footprint, may not be as successful in performing faster processing. In other words, although they allow faster data transfer and improve memory bandwidth utilization -- the classic challenge of sparse problems -- their decompression mechanism can potentially create a computation bottleneck. Not only is this challenge not resolved, but also it becomes more serious with the advent of domain-specific architectures (DSAs), as they intend to more aggressively improve performance. The performance implications of using various formats along with DSAs, however, has not been extensively studied by prior work. To fill this gap of knowledge, we characterize the impact of using seven frequently used sparse formats on performance, based on a DSA for sparse matrix-vector multiplication (SpMV), implemented on an FPGA using high-level synthesis (HLS) tools, a growing and popular method for developing DSAs. Seeking a fair comparison, we tailor and optimize the HLS implementation of decompression for each format. We thoroughly explore diverse metrics, including decompression overhead, latency, balance ratio, throughput, memory bandwidth utilization, resource utilization, and power consumption, on a variety of real-world and synthetic sparse workloads.
description: 11 pages, 14 figures, 2 tables
Origins of Hidden Sector Dark Matter I: Cosmology
Creators: name: Cheung, Clifford
name: Elor, Gilly
name: Hall, Lawrence J.
name: Kumar, Piyush
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a systematic cosmological study of a universe in which the visible sector is coupled, albeit very weakly, to a hidden sector comprised of its own set of particles and interactions. Assuming that dark matter (DM) resides in the hidden sector and is charged under a stabilizing symmetry shared by both sectors, we determine all possible origins of weak-scale DM allowed within this broad framework. We show that DM can arise only through a handful of mechanisms, lending particular focus to Freeze-Out and Decay and Freeze-In, as well as their variations involving late time re-annihilations of DM and DM particle anti-particle asymmetries. Much like standard Freeze-Out, where the abundance of DM depends only on the annihilation cross-section of the DM particle, these mechanisms depend only on a very small subset of physical parameters, many of which may be measured directly at the LHC. In particular, we show that each DM production mechanism is associated with a distinctive window in lifetimes and cross-sections for particles which may be produced in the near future. We evaluate prospects for employing the LHC to definitively reconstruct the origin of DM in a companion paper.
description: 32 pages, 19 figures; v2: references added, published version
An integrated abundance model for estimating county-level prevalence of opioid misuse in Ohio
Creators: name: Hepler, Staci A.
name: Kline, David
name: Bonny, Andrea
name: McKnight, Erin
name: Waller, Lance A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62

description: Opioid misuse is a national epidemic and a significant drug related threat to the United States. While the scale of the problem is undeniable, estimates of the local prevalence of opioid misuse are lacking, despite their importance to policy-making and resource allocation. This is due, in part, to the challenge of directly measuring opioid misuse at a local level. In this paper, we develop a Bayesian hierarchical spatio-temporal abundance model that integrates indirect county-level data on opioid-related outcomes with state-level survey estimates on prevalence of opioid misuse to estimate the latent county-level prevalence and counts of people who misuse opioids. A simulation study shows that our integrated model accurately recovers the latent counts and prevalence. We apply our model to county-level surveillance data on opioid overdose deaths and treatment admissions from the state of Ohio. Our proposed framework can be applied to other applications of small area estimation for hard to reach populations, which is a common occurrence with many health conditions such as those related to illicit behaviors.
description: * Authors Hepler and Kline contributed equally
Additional file 1 of Patient-centeredness in the multimorbid elderly: a focus group study
Creators: name: Kanat, Manuela
name: Schaefer, Jonas
name: Kivelitz, Laura
name: Dirmaier, Jörg
name: Voigt-Radloff, Sebastian
name: Heimbach, Bernhard
name: Glattacker, Manuela
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 1. Diagnoses of participants (assigned to ICD-10 chapters). Tabulated overview of diagnoses within the sample according to ICD-10.
Next-to-next-to-leading order post-Newtonian spin-orbit Hamiltonian for self-gravitating binaries
Creators: name: Hartung, Johannes
name: Steinhoff, Jan
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present the next-to-next-to-leading order post-Newtonian (PN) spin-orbit Hamiltonian for two self-gravitating spinning compact objects. If at least one of the objects is rapidly rotating, then the corresponding interaction is comparable in strength to a 3.5PN effect. The result in the present paper in fact completes the knowledge of the post-Newtonian Hamiltonian for binary spinning black holes up to and including 3.5PN. The Hamiltonian is checked via known results for the test-spin case and via the global Poincare algebra with the center-of-mass vector uniquely determined by an ansatz.
description: 9 pages, v2: revised version, v3: published version, v4: typo corrected
On the development of QPOs in Bondi-Hoyle accretion flows
Creators: name: Donmez, Orhan
name: Zanotti, Olindo
name: Rezzolla, Luciano
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The numerical investigation of Bondi-Hoyle accretion onto a moving black hole has a long history, both in Newtonian and in general-relativistic physics. By performing new two-dimensional and general-relativistic simulations onto a rotating black hole, we point out a novel feature, namely, that quasi-periodic oscillations (QPOs) are naturally produced in the shock cone that develops in the downstream part of the flow. Because the shock cone in the downstream part of the flow acts as a cavity trapping pressure perturbations, modes with frequencies in the integer ratios 2:1 and 3:1 are easily produced. The frequencies of these modes depend on the black-hole spin and on the properties of the flow, and scale linearly with the inverse of the black-hole mass. Our results may be relevant for explaining the detection of QPOs in Sagittarius A*, once such detection is confirmed by further observations. Finally, we report on the development of the flip-flop instability, which can affect the shock cone under suitable conditions; such an instability has been discussed before in Newtonian simulations but was never found in a relativistic regime.
description: 11 pages, 7 figures
Additional file 3 of Patient-centeredness in the multimorbid elderly: a focus group study
Creators: name: Kanat, Manuela
name: Schaefer, Jonas
name: Kivelitz, Laura
name: Dirmaier, Jörg
name: Voigt-Radloff, Sebastian
name: Heimbach, Bernhard
name: Glattacker, Manuela
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 3. Participant questionnaire. Short questionnaire on socio-demographic and illness-related characteristics.
A data-driven ensemble framework for modeling high-dimensional data : theory, methods, algorithms, and applications
Creators: name: Christidis, Anthony-Alexander
Publisher: name: University of British Columbia
Year: 2022

description: Sparse and ensemble methods are the two main approaches in the statistical literature for modeling high-dimensional data. On the one hand, sparse methods yield a single predictive model that is generally interpretable and possesses desirable theoretical properties. On the other hand, multi-model ensemble methods can generally achieve superior prediction accuracy, but current ensemble methodology relies on randomization or boosting to generate diverse models which results in uninterpretable ensembles. In this dissertation, we introduce a new data-driven ensemble framework that combines ideas from sparse modeling and ensemble modeling. We search for optimal ways to select and split the candidate predictors into subsets for the different models that will be combined in an ensemble. Each model in the ensemble provides an alternative explanation for the relationship between the predictor variables and the response variable. The degrees of sparsity of the individual models and diversity among the models are both driven by the data. The task of optimally splitting the candidate predictors into subsets results in a computationally intractable combinatorial optimization problem when the number of predictors is large. We demonstrate the potential of an exhaustive search for the optimal split of the predictors into the different models of an ensemble on specifically designed low-dimensional data which mimic the typical behavior of high-dimensional data. In this dissertation, we propose different computational approaches to the optimal split selection problem. We introduce a multiconvex relaxation in the regression case and develop efficient algorithms to compute solutions for any level of sparsity and diversity. We show that the resulting ensembles yield consistent predictions and consistent individual models, and provide empirical evidence that this method outperforms state-of-the-art sparse and ensemble methods for high-dimensional prediction tasks using simulated data and a chemometrics application. We then extend the methodology, theory and algorithms to classification ensembles, and investigate the performance of the method on simulated data and a large collection of gene expression datasets. We finally propose a direct computational approach to calculate approximate solutions to the optimal split selection problem in the regression case and benchmark the performance of the method gene expression data.
Additional file 2 of Patient-centeredness in the multimorbid elderly: a focus group study
Creators: name: Kanat, Manuela
name: Schaefer, Jonas
name: Kivelitz, Laura
name: Dirmaier, Jörg
name: Voigt-Radloff, Sebastian
name: Heimbach, Bernhard
name: Glattacker, Manuela
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 2. Consolidated criteria for reporting qualitative studies (COREQ): 32-item checklist. Completed consolidated criteria for reporting qualitative studies (COREQ) checklist.
title: Opportunities for underground geological storage of CO2 in New Zealand : report CCS-08/10, risk assessment methodologies
Creators: name: Gerstenberger, Matthew C.
name: Nicol, Andrew
name: Stenhouse, M.
name: Allinson, G.
name: Berryman, Kelvin R.
name: Doody, B.J.
name: Ho, M.
name: McCurdy, Murray
name: Neal, P.
name: Stirling, Mark W.
name: Webb, Terry H.
name: Wright, Kim C.
Publisher: name: GNS Science
publisherIdentifier: https://ror.org/03vaqfv64
publisherIdentifierScheme: ROR
Year: 2009

description: Risk assessment is likely to be an important part of future CO2 sequestration projects in New Zealand. Although the global CO2 sequestration risk assessment community may be moving towards a common best-practice, neither a standard approach nor consistent views have yet been reached for risk assessment of carbon, capture and storage projects. This diversity of opinion arises in part because for many storage projects presently under consideration the risk assessment is focussed on containment where the probability of catastrophic leakage has been determined to be extremely low. These low probabilities, together with a general acceptance that appropriate uncertainties are not always well constrained (particularly for reservoir and seal flow properties), has lead some to question the utility of risk assessment. The purpose of this report is to outline the risk assessment methods best suited to potential future CO2 sequestration projects in New Zealand and to recommend tasks that, if completed, would either reduce the risk or enable the likelihood of these risks to be constrained better. To achieve these primary objectives we assembled a team from multiple organisations (GNS Science, Monitor Scientific, CRL Energy and University of NSW) with expertise in risk assessment, CO2 sequestration, geology, engineering, social science and economics. This report is the culmination of a review of existing methods, two risk workshops and a series of meeting between members of the team. The report sets the foundation for risk assessment of potential future carbon, capture and storage projects in New Zealand, outlining a series of practical steps that we believe are necessary to maximise the utility of risk assessment. (auth/DG)
title: Les interventions infirmières pour diminuer les symptômes du « Post-Intensive Care Syndrome- Family » (PICS-F) chez les familles des patients hospitalisés aux soins intensifs adultes
title: Les interventions infirmières pour diminuer les symptômes du « Post-Intensive Care Syndrome- Family » (PICS-F) chez les familles des patients hospitalisés aux soins intensifs adultes
titleType: AlternativeTitle
Creators: name: Enyengue, Madeline
Publisher: name: Unknown
Year: 0
Subjects: subject: Stress Disorders Traumatic,
subject: Soins intensifs
subject: Soins infirmiers

description: Cette revue de littérature a été élaborée dans le but de répondre à la question de recherche qui est : Quelles sont les interventions infirmières pour diminuer les symptômes du « Post-Intensive Care Syndrome-Family » (PICS-F) chez les familles des patients hospitalisés aux soins intensifs adultes ?
Towards a Standard Feature Set for Network Intrusion Detection System Datasets
Creators: name: Sarhan, Mohanad
name: Layeghy, Siamak
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Network Intrusion Detection Systems (NIDSs) are important tools for the protection of computer networks against increasingly frequent and sophisticated cyber attacks. Recently, a lot of research effort has been dedicated to the development of Machine Learning (ML) based NIDSs. As in any ML-based application, the availability of high-quality datasets is critical for the training and evaluation of ML-based NIDS. One of the key problems with the currently available datasets is the lack of a standard feature set. The use of a unique and proprietary set of features for each of the publicly available datasets makes it virtually impossible to compare the performance of ML-based traffic classifiers on different datasets, and hence to evaluate the ability of these systems to generalise across different network scenarios. To address that limitation, this paper proposes and evaluates standard NIDS feature sets based on the NetFlow network meta-data collection protocol and system. We evaluate and compare two NetFlow-based feature set variants, a version with 12 features, and another one with 43 features.
description: 13 pages, 4 figures, 13 tables. arXiv admin note: substantial text overlap with arXiv:2011.09144
Eliashberg theory of excitonic insulating transition in graphene
Creators: name: Wang, Jing-Rong
name: Liu, Guo-Zhu
Publisher: name: arXiv
Year: 2010
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A sufficiently strong Coulomb interaction may open an excitonic fermion gap and thus drive a semimetal-insulator transition in graphene. In this paper, we study the Eliashberg theory of excitonic transition by coupling the fermion gap equation self-consistently to the equation of vacuum polarization function. Including the fermion gap into polarization function increases the effective strength of Coulomb interaction because it reduces the screening effects due to the collective particle-hole excitations. Although this procedure does not change the critical point, it leads to a significant enhancement of the dynamical fermion gap in the excitonic insulating phase. The validity of the Eliashberg theory is justified by showing that the vertex corrections are suppressed at large $N$ limit.
description: 8 pages, 6 figures
Field Attachment and Teaching Practice Experiences of Technology Education Students in selected Universities in Kenya
Creators: name: Tsindoli, Silyvier
name: Wafula, Lorna
Publisher: name: The Eldoret National Polytechnic
Year: 2023

description: Field attachment and teaching practice play a vital role in shaping the knowledge, skills, and attitudes of technology education students. Through them, students explore the practical aspects of their teaching career and research. The study was guided by two objectives; First, to find out the imperative skills required for field attachment and teaching practice for technology students in Kenya and secondly, to find out the perception of technology students on field attachment and teaching practice in Kenya. The study adopted a qualitative research methodology and a descriptive research design.  This study was anchored on David Kolb's Experiential Learning Theory. The target population consisted of third year Technology Education students from two public Universities in Kenya. Stratified and simple random sampling methods were used. Students who were in session for field attachment and teaching practice and those who had completed a year before were used. A total of 52 Technology Education students participated in the study from two public universities. Data was collected using using students' questionnaires that comprised of both closed-ended and open-ended questions. Data was analysed through descriptive statistics and thematic analysis. The study findings revealed that field attachment and teaching practice experiences of technology education students in Kenya are essential for their preparation as future technology educators and researchers. It was also evident that mentorship and support from experienced teachers and field supervisors played a significant role in the field attachment and teaching practice experiences. In conclusion, institutions should encourage their staff to mentor and support their attachees. In addition, the universities should align their curriculum with the Technical and Vocational Education and Training (TVET) requirements. The study recommended that educational institutions, Universities and policymakers prioritize the provision of adequate resources and support for technology education students during their field attachment and teaching practice.
A roadmap to cosmological parameter analysis with third-order shear statistics III: Efficient estimation of third-order shear correlation functions and an application to the KiDS-1000 data
Creators: name: Porth, Lucas
name: Heydenreich, Sven
name: Burger, Pierre
name: Linke, Laila
name: Schneider, Peter
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Third-order lensing statistics contain a wealth of cosmological information that is not captured by second-order statistics. However, the computational effort for estimating such statistics on forthcoming stage IV surveys is prohibitively expensive. We derive and validate an efficient estimation procedure for the three-point correlation function (3PCF) of polar fields such as weak lensing shear. We then use our approach to measure the shear 3PCF and the third-order aperture mass statistics on the KiDS-1000 survey. We construct an efficient estimator for third-order shear statistics which builds on the multipole decomposition of the 3PCF. We then validate our estimator on mock ellipticity catalogs obtained from $N$-body simulations. Finally, we apply our estimator to the KiDS-1000 data and present a measurement of the third-order aperture statistics in a tomographic setup. Our estimator provides a speedup of a factor of $\sim$ 100-1000 compared to the state-of-the-art estimation procedures. It is also able to provide accurate measurements for squeezed and folded triangle configurations without additional computational effort. We report a significant detection of the tomographic third-order aperture mass statistics in the KiDS-1000 data $(\mathrm{S/N}=6.69)$. Our estimator will make it computationally feasible to measure third-order shear statistics in forthcoming stage IV surveys. Furthermore, it can be used to construct empirical covariance matrices for such statistics.
description: 15 pages, 8 figures + appendices
A Bayesian spatio-temporal nowcasting model for public health decision-making and surveillance
Creators: name: Kline, David
name: Hyder, Ayaz
name: Liu, Enhao
name: Rayo, Michael
name: Malloy, Samuel
name: Root, Elisabeth
Publisher: name: arXiv
Year: 2021
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: As COVID-19 spread through the United States in 2020, states began to set up alert systems to inform policy decisions and serve as risk communication tools for the general public. Many of these systems, like in Ohio, included indicators based on an assessment of trends in reported cases. However, when cases are indexed by date of disease onset, reporting delays complicate the interpretation of trends. Despite a foundation of statistical literature to address this problem, these methods have not been widely applied in practice. In this paper, we develop a Bayesian spatio-temporal nowcasting model for assessing trends in county-level COVID-19 cases in Ohio. We compare the performance of our model to the current approach used in Ohio and the approach that was recommended by the Centers for Disease Control and Prevention. We demonstrate gains in performance while still retaining interpretability using our model. In addition, we are able to fully account for uncertainty in both the time series of cases and in the reporting process. While we cannot eliminate all of the uncertainty in public health surveillance and subsequent decision-making, we must use approaches that embrace these challenges and deliver more accurate and honest assessments to policymakers.
Additional file 1 of Dementia and psychotropic medications are associated with significantly higher mortality in geriatric patients hospitalized with COVID-19: data from the StockholmGeroCovid project
Creators: name: Secnik, Juraj
name: Eriksdotter, Maria
name: Xu, Hong
name: Annetorp, Martin
name: Rytarowski, Aleksander
name: Johnell, Kristina
name: Hägg, Sara
name: Religa, Dorota
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Computational Biology

description: Additional file 1: Supplementary Figure 1. Study sample selection.
Additional file 4 of Patient-centeredness in the multimorbid elderly: a focus group study
Creators: name: Kanat, Manuela
name: Schaefer, Jonas
name: Kivelitz, Laura
name: Dirmaier, Jörg
name: Voigt-Radloff, Sebastian
name: Heimbach, Bernhard
name: Glattacker, Manuela
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 4. Focus groups interview guide. Questions of the focus groups interview guide.
Mirror Neutron Stars
Creators: name: Hippert, Maurício
name: Setford, Jack
name: Tan, Hung
name: Curtin, David
name: Noronha-Hostler, Jacquelyn
name: Yunes, Nicolas
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The fundamental nature of dark matter is entirely unknown. A compelling candidate is Twin Higgs mirror matter, invisible hidden-sector cousins of the Standard Model particles and forces. This predicts mirror neutron stars made entirely of mirror nuclear matter. We find their structure using realistic equations of state, robustly modified based on first-principle quantum chromodynamic calculations, for the first time. This allows us to predict their gravitational wave signals, demonstrating an impressive discovery potential and ability to probe dark sectors connected to the hierarchy problem.
description: 25 pages, 7 figures, matches published version
On Large Delays in Multi-Server Queues with Heavy Tails
Creators: name: Foss, Sergey
name: Korshunov, Dmitry
Publisher: name: arXiv
Year: 2011
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60K25, 90B22, 60F10

description: We present upper and lower bounds for the tail distribution of the stationary waiting time $D$ in the stable $GI/GI/s$ FCFS queue. These bounds depend on the value of the traffic load $ρ$ which is the ratio of mean service and mean interarrival times. For service times with intermediate regularly varying tail distribution the bounds are exact up to a constant, and we are able to establish a `principle of $s-k$ big jumps' in this case (here $k$ is the integer part of $ρ$), which gives the most probable way for the stationary waiting time to be large. Another corollary of the bounds obtained is to provide a new proof of necessity and sufficiency of conditions for the existence of moments of the stationary waiting time.
Exploring Edge TPU for Network Intrusion Detection in IoT
Creators: name: Hosseininoorbin, Seyedehfaezeh
name: Layeghy, Siamak
name: Sarhan, Mohanad
name: Jurdak, Raja
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper explores Google's Edge TPU for implementing a practical network intrusion detection system (NIDS) at the edge of IoT, based on a deep learning approach. While there are a significant number of related works that explore machine learning based NIDS for the IoT edge, they generally do not consider the issue of the required computational and energy resources. The focus of this paper is the exploration of deep learning-based NIDS at the edge of IoT, and in particular the computational and energy efficiency. In particular, the paper studies Google's Edge TPU as a hardware platform, and considers the following three key metrics: computation (inference) time, energy efficiency and the traffic classification performance. Various scaled model sizes of two major deep neural network architectures are used to investigate these three metrics. The performance of the Edge TPU-based implementation is compared with that of an energy efficient embedded CPU (ARM Cortex A53). Our experimental evaluation shows some unexpected results, such as the fact that the CPU significantly outperforms the Edge TPU for small model sizes.
description: 22 pages, 11 figures
title: Rôle infirmier dans les milieux de soins aigus : un positionnement pas si évident
title: Rôle infirmier dans les milieux de soins aigus : un positionnement pas si évident
titleType: AlternativeTitle
Creators: name: Helfer Gleyre, Ludivine
name: Maiandi, Marc
name: Zaffinetti, Michèle
Publisher: name: Unknown
Year: 0
Subjects: subject: Positionnement professionnel
subject: Rôle infirmier
subject: Soins aigüs

description: L’objet de ce travail est de questionner le rôle propre infirmier et le positionnement professionnel dans les milieux de soins aigus à la lumière de la littérature actuelle. Question de recherche : Quels facteurs influencent le positionnement professionnel infirmier dans les milieux de soins aigus ? Méthode :Pour nos recherches, nous avons principalement utilisé les bases de données CINAHL et Pubmed. Pour construire nos équations de recherche, nous avons utilisé un vocabulaire contrôlé à l’aide de termes Mesh et de descripteurs selon le Thésaurus CINAHL, ainsi que des opérateurs booléens. Une fois, les résultats filtrés à l’aide de critères d’inclusion et d’exclusion, nous avons finalement retenus huit articles. Résultats : Le positionnement infirmier s'appuie sur les valeurs, l’identité et le rôle professionnel. Le recours à la littérature a montré plusieurs facteurs qui influencent chacun de ces trois paramètres, comme une pratique fondée sur une conception de soins, la reconnaissance par soi et par les autres, la formation initiale et continue, l’explicitation du rôle infirmier, l’organisation institutionnelle, les politiques de santé, la recherche et l'environnement. Conclusion Favoriser le dialogue interdisciplinaire, renforcer la formation, encourager la pratique réflexive, contribuer à l'organisation institutionnelle, s’engager politiquement sont quelquesuns des moyens proposés à l’issue de ce travail pour influencer le positionnement infirmier dans les services de soins aigus.
Suggestive improvements to the city's green cover for a sustainable future of Rajkot
Creators: name: Pastagiya, Krutik
name: Patra, Abhinash
name: Tharun, R.
name: Gharekhan, Dhwanilnath
name: Bhatt, Manushi
name: Gandhi, Shaily
Publisher: name: Zenodo
Year: 2023
Subjects: Sustainable urban planning
Rajkot
green cover
Land Surface Temperature

description: Environment refers to everything surrounding us, including man-made and natural components such as air, water, and soil. Sustainable urban planning and environmentally responsible practices in cities are essential for preserving natural resources, reducing pollution, and creating a resilient and habitable environment for current and future generations. Rajkot is a city encompassed by a semi-arid meteorological environment. The city of Rajkot intends to transform its character by adding more green networks and increasing tree cover to address the rising population and pollution problems. The city plans to preserve waterbodies, ravines, and eco-sensitive areas to address environmental issues like degraded air quality due to high vehicular growth, industrialization, and heat effects in urbanized areas. This study aims to develop a phase-wise suggestive plan for the city's green cover implementation by analyzing monthly dynamics for the years 2018, 2019, 2021, and 2022 of land surface temperature and air quality index in co-relation with land use/land cover to understand their impacts on the city's green cover. The land surface temperature was derived using the mono window algorithm of Landsat 8 consisting of 46 different time observations post-removal of non-usable periods. The air quality index was collected from in situ deployed environmental sensors spread throughout the city. The data were interpolated for all the time periods individually to understand their spatial distribution and change in trend throughout the years. Supervised land use/land cover classification of 4 classes: built-up, water, bare soil, and vegetation, which was prepared using high-resolution 10m Sentinel 2 satellite data, taking more than 300 training samples. The derived classification generated an average accuracy of 89.2% through confusion matrices. By understanding the influences of these and other environmental parameters, the level of influence was defined within the Analytical hierarchy process to define which spaces within the Rajkot municipal corporation's reserved land can provide higher importance within the phase-wise implementation while ignoring and rejecting modifications within existing structures. Phase-1 recommends a possibility of approximately 0.65 square km². of land for green cover, with phase-2 of approximately 3.26 square km². in reserved lands of Rajkot for faster implementation, while phases 3 and 4 for the rest of the city. Collectively, this process was developed into a model to provide a semi-automated approach-based workflow for faster computations in future samples. This study can be further developed by doing simulations, predictions, and replication to other semi-arid regions of the country under similar environmental conditions.
E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
Creators: name: Lo, Wai Weng
name: Layeghy, Siamak
name: Sarhan, Mohanad
name: Gallagher, Marcus
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper presents a new Network Intrusion Detection System (NIDS) based on Graph Neural Networks (GNNs). GNNs are a relatively new sub-field of deep neural networks, which can leverage the inherent structure of graph-based data. Training and evaluation data for NIDSs are typically represented as flow records, which can naturally be represented in a graph format. In this paper, we propose E-GraphSAGE, a GNN approach that allows capturing both the edge features of a graph as well as the topological information for network intrusion detection in IoT networks. To the best of our knowledge, our proposal is the first successful, practical, and extensively evaluated approach of applying GNNs on the problem of network intrusion detection for IoT using flow-based data. Our extensive experimental evaluation on four recent NIDS benchmark datasets shows that our approach outperforms the state-of-the-art in terms of key classification metrics, which demonstrates the potential of GNNs in network intrusion detection, and provides motivation for further research.
description: will appear in IEEE/IFIP Network Operations and Management Symposium 2022
A UV flux drop preceding the X-ray hard-to-soft state transition during the 2010 outburst of GX 339-4
Creators: name: Yan, Zhen
name: Yu, Wenfei
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The black hole X-ray transient GX 339$-$4 was observed with the {\it Swift} satellite across the hard-to-soft state transition during its 2010 outburst. The ultraviolet (UV) flux measured with the filter UVW2 of the {\it Swift}/UVOT started to decrease nearly 10 days before the drop in the hard X-ray flux when the hard-to-soft state transition started. The UV flux $F_\mathrm{UV}$ correlated with the X-ray flux $F_\mathrm{X}$ as $F_\mathrm{UV}\propto F_\mathrm{X}^{0.50\pm0.04}$ before the drop in the UV flux. During the UV drop lasting about 16 days, the X-ray flux in 0.4--10 keV was increasing. The drop in the UV flux indicates that the jet started to quench 10 days before the hard-to-soft state transition seen in X-rays, which is unexpected.
description: accepted for publication in MNRAS Letter