cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Tangent Space Approach for Thermal Tensor Network Simulations of the 2D Hubbard Model
Creators: name: Li, Qiaoyi
name: Gao, Yuan
name: He, Yuan-Yao
name: Qi, Yang
name: Chen, Bin-Bin
name: Li, Wei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Accurate simulations of the two-dimensional (2D) Hubbard model constitute one of the most challenging problems in condensed matter and quantum physics. Here we develop a tangent space tensor renormalization group (tanTRG) approach for the calculations of the 2D Hubbard model at finite temperature. An optimal evolution of the density operator is achieved in tanTRG with a mild $O(D^3)$ complexity, where the bond dimension $D$ controls the accuracy. With the tanTRG approach we boost the low-temperature calculations of large-scale 2D Hubbard systems on up to a width-8 cylinder and $10\times10$ square lattice. For the half-filled Hubbard model, the obtained results are in excellent agreement with those of determinant quantum Monte Carlo (DQMC). Moreover, tanTRG can be used to explore the low-temperature, finite-doping regime inaccessible for DQMC. The calculated charge compressibility and Matsubara Green's function are found to reflect the strange metal and pseudogap behaviors, respectively. The superconductive pairing susceptibility is computed down to a low temperature of approximately $1/24$ of the hopping energy, where we find $d$-wave pairing responses are most significant near the optimal doping. Equipped with the tangent-space technique, tanTRG constitutes a well-controlled, highly efficient and accurate tensor network method for strongly correlated 2D lattice models at finite temperature.
description: 7+14 pages, 5+14 figures
ผลการจัดการเรียนรู้แบบร่วมมือด้วยเทคนิคจิ๊กซอว์ 2 ที่มีต่อผลสัมฤทธิ์ทางการเรียน และความสามารถในการคิดอย่างมีวิจารณญาณของนักศึกษา สาขาวิชาการแพทย์แผนไทยประยุกต์
Creators: name: ปณดา รามไพบูลย์
Publisher: name: ศูนย์สนับสนุนและพัฒนาการเรียนการสอน มหาวิทยาลัยรังสิต
Year: 2566
Subjects: การเรียนรู้แบบร่วมมือด้วยเทคนิคจิ๊กซอว์ 2
ผลสัมฤทธิ์ทางการเรียน
การคิดอย่างมีวิจารณญาณ

description: วารสารพัฒนาการเรียนการสอน, 17, 2, 50-60
Performance of the 1-ton Prototype Neutrino Detector at CJPL-I
Creators: name: Wu, Yiyang
name: Li, Jinjing
name: Chen, Shaomin
name: Dou, Wei
name: Guo, Lei
name: Guo, Ziyi
name: Hussain, Ghulam
name: Liang, Ye
name: Liu, Qian
name: Luo, Guang
name: Luo, Wentai
name: Qi, Ming
name: Shao, Wenhui
name: Tang, Jian
name: Wan, Linyan
name: Wang, Zhe
name: Xu, Benda
name: Xu, Tong
name: Xu, Weiran
name: Yang, Yuzi
name: Zhao, Lin
name: Zhang, Aiqiang
name: Zhang, Bin
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: China Jinping Underground Laboratory provides an ideal site for solar, geo-, and supernova neutrino studies. With a prototype neutrino detector running since 2017, containing 1-ton liquid scintillator, we tested its experimental hardware, performed the detector calibration and simulation, and measured its radioactive backgrounds, as an early stage of the Jinping Neutrino Experiment (JNE). We investigated the radon background and implemented the nitrogen sealing technology to control it. This paper presents the details of these studies and will serve as a key reference for the construction and optimization of the future large detector of JNE.
Attosecond VUV Coherent Control of Molecular Dynamics
Creators: name: Ranitovic, P.
name: Hogle, C. W.
name: Riviere, P.
name: Palacios, A
name: Tong, X. M.
name: Toshima, N.
name: Gonzalez-Castrillo, A.
name: Martin, L.
name: Martin, F.
name: Murnane, M. M.
name: Kapteyn, H. C.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: High harmonic light sources make it possible to access attosecond time-scales, thus opening up the prospect of manipulating electronic wave packets for steering molecular dynamics. However, two decades after the birth of attosecond physics, the concept of attosecond chemistry has not yet been realized. This is because excitation and manipulation of molecular orbitals requires precisely controlled attosecond waveforms in the deep ultraviolet, which have not yet been synthesized. Here, we present a novel approach using attosecond vacuum ultraviolet pulse-trains to coherently excite and control the outcome of a simple chemical reaction in a deuterium molecule in a non-Born Oppenheimer regime. By controlling the interfering pathways of electron wave packets in the excited neutral and singly-ionized molecule, we unambiguously show that we can switch the excited electronic state on attosecond timescales, coherently guide the nuclear wave packets to dictate the way a neutral molecule vibrates, and steer and manipulate the ionization and dissociation channels. Furthermore, through advanced theory, we succeed in rigorously modeling multi-scale electron and nuclear quantum control in a molecule for the first time. The observed richness and complexity of the dynamics, even in this very simplest of molecules, is both remarkable and daunting, and presents intriguing new possibilities for bridging the gap between attosecond physics and attochemistry.
An outsider's view of the favela of Rocinha and its people
Creators: name: Carter, Joseph Coleman
Publisher: name: The University of Texas at Austin
Year: 2005
Subjects: subject: Favela history
subject: Rocinha, Rio de Janeiro
subject: Tourism
subject: FOS: Economics and business

description: In this thesis I explore the favela of Rocinha, in Rio de Janeiro, and its rich complexities. I will first give a brief history on favelas with particular emphasis on Rocinha. Then I will talk about the growing tourist industry that has begun to cater to tourists who wish to see the harsher realities of Rio de Janeiro. Over the course of six months during the year 2004, I documented the social and economic effects of tourism on Rocinha, as well as the reciprocal effects on foreign tourists. However, tourists are shown a very limited part of the favela. The parts of the favela that are not covered in the tours are precisely the poorest and most dangerous. During my residency in Rocinha I experienced a reality of the favela that the tours do not show. This led me to explore the most precarious areas of the favela and to see how their residents lived, including the neighborhood of Roupa Suja, where a significant number of residents survive by picking up trash. One of these residents is André Clemente dos Santos. The final part of the thesis is a documentary film on André’s life. The film is an example of the resourcefulness of the poorest favela residents in the absence of any social assistance or formal employment. The DVD reveals André’s economic condition, his relative social exclusion, and his dreams and aspirations
การพัฒนารูปแบบการเรียนรู้ พัฒนาการวรรณกรรมไทย โดยใช้กระบวนการเรียนรู้ 5 ขั้นตอน เพื่อเสริมสร้างทักษะการคิดวิเคราะห์ของนักศึกษาสาขาวิชาภาษาไทย คณะครุศาสตร์ มหาวิทยาลัยราชภัฏลำปาง
Creators: name: ดารุณี นิพัทธ์ศานต์
Publisher: name: ศูนย์สนับสนุนและพัฒนาการเรียนการสอน มหาวิทยาลัยรังสิต
Year: 2566
Subjects: การเรียนรู้
วรรณกรรมไทย
กระบวนการเรียนรู้
ทักษะการคิด

description: วารสารพัฒนาการเรียนการสอน, 17, 2, 137-154
Informational Object Nouns and the mass/count distinction
Creators: name: Sutton, Peter R.
name: Filip, Hana
Publisher: name: Proceedings of Sinn und Bedeutung
Year: 2020

description: Most theories of the count/mass distinction analyse concrete nouns (denoting physical entities or stuff), and so, implicitly or explicitly, set abstract nouns to one side. We build on a growing number of recent works that address this gap with our analysis of a class of abstract nouns, Informational Object Nouns (IONs), such as information, evidence, belief, and statement. We argue that by incorporating recent work done by Schmitt (2013, 2017) on the development of a domain general mereological sum operation, we can modify theories of the mass/count distinction for concrete nouns and extend their coverage to the set of IONs. As we also argue, an important factor in extending such theories is that they are grounded in the notion that count nouns are interpreted under individuation schemas, relative to a context (Sutton and Filip 2016b; Filip and Sutton 2017, amongst others).
description: Proceedings of Sinn und Bedeutung, Vol 24 No 2 (2020): Proceedings of Sinn und Bedeutung 24
Triviality of quantum trajectories close to a directed percolation transition
Creators: name: Piroli, Lorenzo
name: Li, Yaodong
name: Vasseur, Romain
name: Nahum, Adam
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study quantum circuits consisting of unitary gates, projective measurements, and control operations that steer the system towards a pure absorbing state. Two types of phase transition occur as the rate of these control operations is increased: a measurement-induced entanglement transition, and a directed percolation transition into the absorbing state (taken here to be a product state). In this work we show analytically that these transitions are generically distinct, with the quantum trajectories becoming disentangled before the absorbing state transition is reached, and we analyze their critical properties. We introduce a simple class of models where the measurements in each quantum trajectory define an Effective Tensor Network (ETN) -- a subgraph of the initial spacetime graph where nontrivial time evolution takes place. By analyzing the entanglement properties of the ETN, we show that the entanglement and absorbing-state transitions coincide only in the limit of infinite local Hilbert-space dimension. Focusing on a Clifford model which allows numerical simulations for large system sizes, we verify our predictions and study the finite-size crossover between the two transitions at large local Hilbert space dimension. We give evidence that the entanglement transition is governed by the same fixed point as in hybrid circuits without feedback.
description: 18 pages, 9 figures; v2: Appendix added, minor revision
Electromagnetic waves from neutron stars and black holes driven by polar gravitational perturbations
Creators: name: Sotani, Hajime
name: Kokkotas, Kostas D.
name: Laguna, Pablo
name: Sopuerta, Carlos F.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Neutron stars and black holes are the most compact astrophysical objects we can think of and as a consequence they are the main sources of gravitational waves. There are many astrophysically relevant scenarios in which these objects are immersed in or endowed with strong magnetic fields, in such a way that gravitational perturbations can couple to electromagnetic ones and can potentially trigger synergistic electromagnetic signatures. In a recent paper we derived the main equations for gravito-electromagnetic perturbations and studied in detail the case of polar electromagnetic perturbations driven by axial gravitational perturbations. In this paper we deal with the case of axial electromagnetic perturbations driven by polar black-hole or neutron stars oscillations, in which the energy emitted in case is considerably larger than in the previous case. In the case of neutron stars the phenomenon lasts considerably longer since the fluid acts as an energy reservoir that shakes the magnetic field for a timescale of the order of secs.
description: accepted for publication in GRG
title: Entwicklung eines Regelverfahrens für einen optimierten und zentralen Blindleistungsabruf zur Beeinflussung des Blindleistungshaushalts von Mittelspannungsnetzen unter Einhaltung von Netzrestriktionen
Creators: name: Rauch, Johannes
Publisher: name: Ostbayerische Technische Hochschule Regensburg
Year: 2020

description: Die Energiewende führt zu neuen Herausforderungen für Verteilungsnetzbetreiber hinsichtlich der Er-bringung von Systemdienstleistungen, der Integration weiterer Erzeugungsanlagen und Lasten sowie der Gewährleistung einer hohen Versorgungssicherheit und normgerechten Spannungsqualität. Die De-ckung der auftretenden Blindleistungsbedarfe seitens der Netzbetriebsmittel, Verbraucher und Erzeu-gungsanlagen gewinnt durch den Wegfall der Großkraftwerke für Netzbetreiber zunehmend an Bedeu-tung. Das Projekt SyNErgie beschäftigt sich diesbezüglich mit der Entwicklung neuartiger Blindleis-tungsmanagementsysteme für Mittelspannungsnetze. Ziel ist es, das bisher ungenutzte, freie Blindleis-tungspotential betrieblicher Kompensationsanlagen und dezentraler Erzeugungsanlagen (allgemein: Blindleistungsquellen) zu nutzen, um die Blindleistungsänderungsfähigkeit eines Verteilungsnetzes zu erhöhen. Diese Arbeit beschäftigt sich mit der Entwicklung eines zentralen Blindleistungsregelsystems, bei dem Blindleistungsquellen auf Basis von „Optimal Power Flow“-Berechnungen über eine zentrale Recheninstanz angesteuert werden. Zum Einsatz kommt dabei ein Optimierungsalgorithmus, der auf Basis des aktuellen Netzzustandes (Spannungs- und Auslastungsreserven) und des aktuellen Blindleis-tungspotentials der Blindleistungsquellen einen bedarfsoptimalen Abruf koordiniert. Das zentrale Re-gelverfahren wird in Netzmodellen verschiedenartiger Mittelspannungsnetzgruppen und unterschiedli-cher Art und Anzahl von Blindleistungsquellen angewendet sowie im Hinblick auf variierende Zielvor-gaben und Randbedingungen evaluiert und diskutiert.
Particle production during inflation: constraints expected from redshifted 21 cm observations from the epoch of reionization
Creators: name: Naik, Suvedha Suresh
name: Chingangbam, Pravabati
name: Furuuchi, Kazuyuki
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We examine a type of features in the primordial scalar power spectrum, namely, the bump-like feature(s) that arise as a result of burst(s) of particle production during inflation. The latest CMB observations by Planck 2018 can accommodate such features. In the near future, observations of redshifted 21 cm signal from the epoch of reionization can put additional constraints on inflation models by exploiting the expected tomographic information across a wide range of co-moving wave-numbers. In this work, we study the potential of upcoming observational data from SKA-Low to constrain the parameters of the primordial power spectrum with bump-like features. We use simulated mock data expected from SKA-Low, with uncertainties estimated from different foreground removal models, and constrain the parameters of primordial features within a Bayesian framework. We study two scenarios: in the first scenario, where the astrophysical parameters relevant to the evolution of the 21 cm signal are known, we find that 21 cm power spectra do have the potential to probe the primordial bump-like features. As the input amplitude of the bump is decreased below roughly 10% of the amplitude of the primordial power spectrum without the bump, the uncertainties in the recovered values for both amplitude and location of the bump are found to increase, and the recovered values of the location of the bump also get increasingly more biased towards higher values. Hence, it becomes harder to constrain these parameters. In the second scenario, we analyze the achievable constraints on primordial features when two of the astrophysical parameters, namely, minimum halo mass and ionizing efficiency are uncertain. We find that the effect of the bump on the shape and the amplitude of the 21 cm power spectrum is distinct from the impact of varying the astrophysical parameters, and hence they may potentially be distinguished.
description: Revised to match the published version, results unchanged
Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer
Creators: name: Petäinen, Liisa
name: Väyrynen, Juha P.
name: Ruusuvuori, Pekka
name: Pölönen, Ilkka
name: Äyrämö, Sami
name: Kuopio, Teijo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of colorectal cancer. The method is based on convolutional neural networks which were trained to classify colorectal cancer tissue in hematoxylin-eosin stained samples into three classes: stroma, tumor and other. The models were trained using a data set that consists of 1343 whole slide images. Three different training setups were applied with a transfer learning approach using domain-specific data i.e. an external colorectal cancer histopathological data set. The three most accurate models were chosen as a classifier, TSR values were predicted and the results were compared to a visual TSR estimation made by a pathologist. The results suggest that classification accuracy does not improve when domain-specific data are used in the pre-training of the convolutional neural network models in the task at hand. Classification accuracy for stroma, tumor and other reached 96.1$\%$ on an independent test set. Among the three classes the best model gained the highest accuracy (99.3$\%$) for class tumor. When TSR was predicted with the best model, the correlation between the predicted values and values estimated by an experienced pathologist was 0.57. Further research is needed to study associations between computationally predicted TSR values and other clinicopathological factors of colorectal cancer and the overall survival of the patients.
AZOTEA. Monitoring the night sky during and after isolation
Creators: name: Zamorano, Jaime
name: García, Lucía
Publisher: name: Zenodo
Year: 2020
Subjects: citizen science, light pollution

description: This booklet presents AZOTEA, a citizen science project that aims to monitor the brightness and color of the night sky using photographic cameras to evaluate variations in light pollution that happened during and after the exceptional period of self-isolation.
Plasma emission and radiation from ultra-relativistic Brunel electrons in femtosecond laser-plasma interactions
Creators: name: Ondarza-Rovira, R.
name: Boyd, T. J. M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: A highly intense femtosecond laser pulse incident on a plasma target of supercritical density, gives rise to reflected high-order harmonics of the laser frequency. The radiation model adopted here considers Brunel electrons -those reinjected into the plasma after performing a vacuum excursion-perturbed by a localized turbulent region of an electrostatic field that is generated during the interaction, and characterized by a soliton-like structure. The observed power spectrum is characterized by a power-law decay scaled as P_m ~ m^{-p}, here m denotes the harmonic order. In this work an appeal is made to a radiation mechanism from a single particle model that shows harmonic power decays described -as previously reported from particle-in-cell simulations- within the range 2/3 < p < 5/3. Plasma emission is strongest for values of the similarity parameter S=(n_e/n_c)/a_0 in the range 1 < S < 5, and where n_e and n_c are the ambient electron plasma density and the critical density, respectively, and a_0 is the normalized parameter of the electric field of the incident light. It was found that the radiation spectra obtained from the single particle model here presented is consistent with previously reported power-law 5/3 decays from particle-in-cell simulations.
description: 5 pages, 4 figures
A Review of Deep Learning Techniques for Protein Function Prediction
Creators: name: Aggarwal, Divyanshu
name: Hasija, Yasha
Publisher: name: arXiv
Year: 2022
Subjects: subject: Biomolecules (q-bio.BM)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: Deep Learning and big data have shown tremendous success in bioinformatics and computational biology in recent years; artificial intelligence methods have also significantly contributed in the task of protein function classification. This review paper analyzes the recent developments in approaches for the task of predicting protein function using deep learning. We explain the importance of determining the protein function and why automating the following task is crucial. Then, after reviewing the widely used deep learning techniques for this task, we continue our review and highlight the emergence of the modern State of The Art (SOTA) deep learning models which have achieved groundbreaking results in the field of computer vision, natural language processing and multi-modal learning in the last few years. We hope that this review will provide a broad view of the current role and advances of deep learning in biological sciences, especially in predicting protein function tasks and encourage new researchers to contribute to this area.
Social Media Mining Approach To Disaster Relief Management Efforts - Hurricane Harvey
Creators: name: Jay, Shankar
name: Escobar Nicolas
name: Joshi Varun
Publisher: name: Zenodo
Year: 2018
Subjects: Social Media Mining, Twitter, Machine Learning, Hurricane Harvey, Disaster relief, disaster

description: This research paper was completed in fulfillment of requirements for the Social Media Mining course as a part of the Master’s in Data Science program at Indiana University-Bloomington in May 2018.

The goal of this research is to analyze the tweets from the social network Twitter related to Hurricane Harvey over different periods in time, during and after its occurrence and track the relief management efforts.
Clouds in the atmosphere of the super-Earth exoplanet GJ 1214b
Creators: name: Kreidberg, Laura
name: Bean, Jacob L.
name: Désert, Jean-Michel
name: Benneke, Björn
name: Deming, Drake
name: Stevenson, Kevin B.
name: Seager, Sara
name: Berta-Thompson, Zachory
name: Seifahrt, Andreas
name: Homeier, Derek
Publisher: name: arXiv
Year: 2014
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Recent surveys have revealed that planets intermediate in size between Earth and Neptune ("super-Earths") are among the most common planets in the Galaxy. Atmospheric studies are the next step toward developing a comprehensive understanding of this new class of object. Much effort has been focused on using transmission spectroscopy to characterize the atmosphere of the super-Earth archetype GJ 1214b, but previous observations did not have sufficient precision to distinguish between two interpretations for the atmosphere. The planet's atmosphere could be dominated by relatively heavy molecules, such as water (e.g., a 100% water vapor composition), or it could contain high-altitude clouds that obscure its lower layers. Here we report a measurement of the transmission spectrum of GJ 1214b at near-infrared wavelengths that definitively resolves this ambiguity. These data, obtained with the Hubble Space Telescope, are sufficiently precise to detect absorption features from a high mean molecular mass atmosphere. The observed spectrum, however, is featureless. We rule out cloud-free atmospheric models with water-, methane-, carbon monoxide-, nitrogen-, or carbon dioxide-dominated compositions at greater than 5$σ$ confidence. The planet's atmosphere must contain clouds to be consistent with the data.
description: Accepted for publication in the January 2, 2014 edition of Nature. Includes supplementary information
Monocorophium insidiosum
Creators: name: Kakkonen, Jenni E.
name: Worsfold, Tim M.
name: Ashelby, Christopher W.
name: Taylor, Andrea
name: Beaton, Katy
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Malacostraca
Amphipoda
Corophiidae
Monocorophium
Monocorophium insidiosum

description: (20) Monocorophium insidiosum (Crawford, 1937)
Status in U.K. – cryptogenic.
Monocorophium insidiosum was first recorded from the monitoring programme in 2013 and has been recorded from many sites since 2015, from both settlement panel and scrape samples.
Monocorophium insidiosum often associates with artificial habitats and is considered non-native in several regions (Chapman 2000; Heiman et al. 2008; Marchini and Cardeccia 2017). Chapman (2000) considered it native to the north-west Atlantic but introduced in all other regions and Marchini and Cardeccia (2017) stated that it has become so widely distributed that its original range is unknown. We herein regard it as cryptogenic in the U.K., in keeping with Minchin (2007a) who reported it as cryptogenic in Ireland.
NMS voucher reference number: NMS.Z.2017.144.62
description: Published as part of Kakkonen, Jenni E., Worsfold, Tim M., Ashelby, Christopher W., Taylor, Andrea & Beaton, Katy, 2019, The value of regular monitoring and diverse sampling techniques to assess aquatic non-native species: a case study from Orkney, pp. 46-79 in Management of Biological Invasions 10 (1) on page 59, DOI: 10.3391/mbi.2019.10.1.04, http://zenodo.org/record/11969078
Das Asperger-Syndrom und der Bildungsweg: Ein Handlungsfeld für die Soziale Arbeit?
Creators: name: Basedau, Mirjam
name: Szinnai, Katharina
Publisher: name: Zenodo
Year: 2022

description: Die vorliegende Bachelorarbeit wurde von zwei Studentinnen der Hochschule Luzern – Soziale Arbeit verfasst. Die Forschungsarbeit befasst sich mit jungen Menschen, welche vom Asperger-Syndrom betroffen sind und deren Bildungsweg. Das Ziel der Arbeit lag darin herauszufinden, welche Herausforderungen Menschen mit dem Asperger-Syndrom auf ihrem Bildungsweg erleben und wie sich diese auf ihre berufliche Tätigkeit auswirken. Zudem wurde untersucht, ob Menschen mit dem Asperger-Syndrom in ihrer Entwicklung gefährdet sind und sich dadurch ein Handlungsfeld für die Soziale Arbeit eröffnet. Für die Untersuchung wurden Interviews mit vier betroffenen Personen geführt. Die Auswertung erfolgte qualitativ mit der inhaltlich strukturierenden Inhaltsanalyse nach Udo Kuckartz. Die Forschungsergebnisse wurden unter Einbezug von Theorien aus der Sozialen Arbeit diskutiert und aus Sicht der Sozialen Arbeit bewertet. Dafür wurde eine Theorie aus der Sozialen Arbeit und je eine Theorie aus der Entwicklungspsychologie und aus der Soziologie verwendet, an welchen sich die Soziale Arbeit orientiert. Die Arbeit schliesst mit konkreten Handlungsempfehlungen ab, welche die Soziale Arbeit umsetzen sollte, um Menschen mit dem Asperger-Syndrom auf ihrem Bildungsweg so zu unterstützen, dass sie sich bestmöglich entwickeln und beruflich entfalten können.
description: + Code Diss LU: hslusa basp + Code Diss LU: hslusa basa + Fussnote: Bachelor-Arbeit, Hochschule Luzern – Soziale Arbeit, Studienrichtung Sozialpädagogik & Sozialarbeit, 2022 + NL-Code: NLLUHSA202209
Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Creators: name: Zhang, Jiayun
name: Zhang, Xiyuan
name: Zhang, Xinyang
name: Hong, Dezhi
name: Gupta, Rajesh K.
name: Shang, Jingbo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Traditional federated classification methods, even those designed for non-IID clients, assume that each client annotates its local data with respect to the same universal class set. In this paper, we focus on a more general yet practical setting, non-identical client class sets, where clients focus on their own (different or even non-overlapping) class sets and seek a global model that works for the union of these classes. If one views classification as finding the best match between representations produced by data/label encoder, such heterogeneity in client class sets poses a new significant challenge -- local encoders at different clients may operate in different and even independent latent spaces, making it hard to aggregate at the server. We propose a novel framework, FedAlign, to align the latent spaces across clients from both label and data perspectives. From a label perspective, we leverage the expressive natural language class names as a common ground for label encoders to anchor class representations and guide the data encoder learning across clients. From a data perspective, during local training, we regard the global class representations as anchors and leverage the data points that are close/far enough to the anchors of locally-unaware classes to align the data encoders across clients. Our theoretical analysis of the generalization performance and extensive experiments on four real-world datasets of different tasks confirm that FedAlign outperforms various state-of-the-art (non-IID) federated classification methods.
description: Accepted by KDD 2023
GALEX J194419.33+491257.0: An Unusually Active SU UMa-Type Dwarf Nova with a Very Short Orbital Period in the Kepler Data
Creators: name: Kato, Taichi
name: Osaki, Yoji
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We studied the background dwarf nova of KIC 11412044 in the Kepler public data and identified it with GALEX J194419.33+491257.0. This object turned out to be a very active SU UMa-type dwarf nova having a mean supercycle of about 150 d and frequent normal outbursts having intervals of 4-10 d. The object showed strong persistent signal of the orbital variation with a period of 0.0528164(4) d (76.06 min) and superhumps with a typical period of 0.0548 d during superoutbursts. Most of the superoutbursts were accompanied by a precursor outburst. All these features are unusual for this very short orbital period. We succeeded in detecting the evolving stage of superhumps (stage A superhumps) and obtained a mass ratio of 0.141(2), which is unusually high for this orbital period. We suggest that the unusual outburst properties are a result of this high mass ratio. We suspect that this object is a member of the recently recognized class of cataclysmic variables (CVs) with a stripped core evolved secondary which are evolving toward AM CVn-type CVs. The present determination of the mass ratio using stage A superhumps makes the first case in such systems.
description: 6 pages, 5 figures, accepted for publication in PASJ
Enabling change for validated exascale fusion nuclear science
Creators: name: Davis, Andrew
name: Shimwell, Jonathan
name: Gray, Ander
Publisher: name: Zenodo
Year: 2019

description: Within the fusion radiation transport community for many years the de facto standard codebase for simulation was and still is MCNP. MCNP suffers from very few community perceived drawbacks having widely validated and verified physics, large user base, simple interface, but the main issue in the age of democratised computing access is prohibitive licence conditions. Thus, if we need to be able to deploy our calculations anywhere without restriction, we must use another transport code. Herein there is reporting of a new tool, ***csg2csg***, which allows MCNP geometry to be translated to other formats including FLUKA, Serpent2, PHITS and OpenMC. This tool allows geometry and materials to be translated between forms, which facilitates the performance of standardised tests between codes, e.g. shielding benchmarks in SINBAD and criticality benchmarks in ICSBEP. Examples of fusion & HEP relevant validation and comparisons will be shown.
The Certificate of Appreciation (Academic Affairs)
Creators: name: Siming Zheng
Publisher: name: figshare
Year: 2020
Subjects: subject: 10402 Biostatistics
subject: FOS: Mathematics

description: Type: Award (Academic Affairs)
Awarding Body: the School of Graduate Studies(SGS), University of Putra Malaysia.
The certificate was signatured by : (1). the School of Graduate Studies Director, (2), the UPM deputy Vice Chancellor, and (3). the UPM Vice Chancellor.
Name of Certificate: Certificate of Appreciation
Explanation:This Certificate of Appreciation is to provide a proof/verification that the School of Graduate Studies(SGS) values academic researchers for their time, effort, hard work, academic seminar/conferences and academic workshops who did outstanding academic and extracurricular work and have made note-worthy contributions to the local university.

Applicant: Siming Zheng (Szeming Cheng)Uploaded date: 2020-11-13.

Best regards.
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks with Efficient DSP and Memory Optimization
Creators: name: Li, Jindong
name: Shen, Guobin
name: Zhao, Dongcheng
name: Zhang, Qian
name: Zeng, Yi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Spiking neural networks (SNNs) have been widely used due to their strong biological interpretability and high energy efficiency. With the introduction of the backpropagation algorithm and surrogate gradient, the structure of spiking neural networks has become more complex, and the performance gap with artificial neural networks has gradually decreased. However, most SNN hardware implementations for field-programmable gate arrays (FPGAs) cannot meet arithmetic or memory efficiency requirements, which significantly restricts the development of SNNs. They do not delve into the arithmetic operations between the binary spikes and synaptic weights or assume unlimited on-chip RAM resources by using overly expensive devices on small tasks. To improve arithmetic efficiency, we analyze the neural dynamics of spiking neurons, generalize the SNN arithmetic operation to the multiplex-accumulate operation, and propose a high-performance implementation of such operation by utilizing the DSP48E2 hard block in Xilinx Ultrascale FPGAs. To improve memory efficiency, we design a memory system to enable efficient synaptic weights and membrane voltage memory access with reasonable on-chip RAM consumption. Combining the above two improvements, we propose an FPGA accelerator that can process spikes generated by the firing neuron on-the-fly (FireFly). FireFly is the first SNN accelerator that incorporates DSP optimization techniques into SNN synaptic operations. FireFly is implemented on several FPGA edge devices with limited resources but still guarantees a peak performance of 5.53TOP/s at 300MHz. As a lightweight accelerator, FireFly achieves the highest computational density efficiency compared with existing research using large FPGA devices.
Design Considerations For Hypothesis Rejection Modules In Spoken Language Understanding Systems
Creators: name: Alok, Aman
name: Gupta, Rahul
name: Ananthakrishnan, Shankar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Spoken Language Understanding (SLU) systems typically consist of a set of machine learning models that operate in conjunction to produce an SLU hypothesis. The generated hypothesis is then sent to downstream components for further action. However, it is desirable to discard an incorrect hypothesis before sending it downstream. In this work, we present two designs for SLU hypothesis rejection modules: (i) scheme R1 that performs rejection on domain specific SLU hypothesis and, (ii) scheme R2 that performs rejection on hypothesis generated from the overall SLU system. Hypothesis rejection modules in both schemes reject/accept a hypothesis based on features drawn from the utterance directed to the SLU system, the associated SLU hypothesis and SLU confidence score. Our experiments suggest that both the schemes yield similar results (scheme R1: 2.5% FRR @ 4.5% FAR, scheme R2: 2.5% FRR @ 4.6% FAR), with the best performing systems using all the available features. We argue that while either of the rejection schemes can be chosen over the other, they carry some inherent differences which need to be considered while making this choice. Additionally, we incorporate ASR features in the rejection module (obtaining an 1.9% FRR @ 3.8% FAR) and analyze the improvements.
description: 5 pages. ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
HST Imaging of Decoupled Dust Clouds in the Ram Pressure Stripped Virgo Spirals NGC 4402 and NGC 4522
Creators: name: Abramson, Anne
name: Kenney, Jeffrey D. P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the highest-resolution study to date of the ISM in galaxies undergoing ram pressure stripping, using HST BVI imaging of NGC 4522 and NGC 4402, Virgo Cluster spirals that are well-known to be experiencing ICM ram pressure. We find that throughout most of both galaxies, the main dust lane has a fairly well-defined edge, with a population of GMC-sized (tens- to hundreds-of-pc scale), isolated, highly extincting dust clouds located up to ~1.5 kpc radially beyond it. Outside of these dense clouds, the area has little or no diffuse dust extinction, indicating that the clouds have decoupled from the lower-density ISM material that has already been stripped. Several of the dust clouds have elongated morphologies that indicate active ram pressure, including two large (kpc-scale) filaments in NGC 4402 that are elongated in the projected ICM wind direction. We calculate a lower limit on the HI + H_2 masses of these clouds based on their dust extinctions and find that a correction factor of ~10 gives cloud masses consistent with those measured in CO for clouds of similar diameters, probably due to the complicating factors of foreground light, cloud substructure, and resolution limitations. Assuming that the clouds' actual masses are consistent with those of GMCs of similar diameters (~10^4-10^5 M_sun), we estimate that only a small fraction (~1-10%) of the original HI + H_2 remains in the parts of the disks with decoupled clouds. Based on H-alpha images, a similar fraction of star formation persists in these regions, 2-3% of the estimated pre-stripping star formation rate. We find that the decoupled cloud lifetimes may be up to 150-200 Myr.
description: 20 pages, 22 figures
Developing temporary housing solutions for displaced persons: A study of user needs
Creators: name: Slavec, Ana
name: Prelovšek, Eva
Publisher: name: Zenodo
Year: 2020
Subjects: temporary housing
sustainable design
user needs
refugees
interviews

description: Temporary housing solutions are needed in civil protection for offering shelter to people in disaster-affected areas and other displaced persons. Often, shipping containers are used for this purpose, and while some studies highlighted the positive aspects (Zhang and Elmpt, 2014; Hong 2017) and their sustainability (Islam et al., 2016), others have pointed out the need for better and more sustainable solutions (Perruci et al., 2016). In this paper, we identify different types of temporary housing according to two main distinct categories of temporary dwellings (Abulnour, 2013): temporary shelter and temporary house. We study them from the functional and technical perspective, their sustainability aspects, use of bio-based materials and reuse at the end of their life cycle. The aim of this paper is to give further recommendations for the construction of environmentally and socially sustainable temporary dwellings. Sustainable shelter design is of major importance, particularly for European regions, since laws for public procurement follow rules of green purchasing. We identify desired characteristics of temporary dwellings based on twelve in-depth interviews with those that received refugee status in Slovenia, six of Syrian and six of Eritrean nationality. Participants were asked to describe their dwellings in their home country, their accommodations on the journey to Slovenia and their current accommodation. In addition, they were asked for feedback on a draft building plan to develop an adaptable and modifiable modular wooden building that could be used as a temporary dwelling. Dwelling features that the interviewees valued most were having private bathrooms and kitchens and being settled in cities, close to necessary infrastructure and integrated with the local population. They did not show strong preferences toward any construction materials, but some of them showed some concerns regarding the use of wood, especially those from Eritrea having less experience with wood as a construction material.
description: Acknowledgements: We gratefully acknowledge receiving funding from the Horizon 2020 Framework Programme of the European Union, H2020 WIDESPREAD-2-Teaming: #739574, and the Slovenian Research Agency, for the project using questionnaires to measure attitudes and behaviours of building users (Z5-1879),
description: {"references": ["https://doi.org/10.1016/j.hbrcj.2013.06.001", "https://doi.org/10.1016/j.foar.2017.04.005", "https://doi.org/10.1016/j.enbuild.2016.07.002", "https://doi.org/10.1016/j.proeng.2016.04.082", "https://doi.org/10.1016/S2212-5671(14)00983-6"]}
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach
Creators: name: Shirazi, Sareh
name: Harandi, Mehrtash T.
name: Lovell, Brian C.
name: Sanderson, Conrad
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Metric Geometry (math.MG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: I.2.10; I.4.6; I.4.7; I.4.8; I.5.1; I.5.4; G.3

description: A robust visual tracking system requires an object appearance model that is able to handle occlusion, pose, and illumination variations in the video stream. This can be difficult to accomplish when the model is trained using only a single image. In this paper, we first propose a tracking approach based on affine subspaces (constructed from several images) which are able to accommodate the abovementioned variations. We use affine subspaces not only to represent the object, but also the candidate areas that the object may occupy. We furthermore propose a novel approach to measure affine subspace-to-subspace distance via the use of non-Euclidean geometry of Grassmann manifolds. The tracking problem is then considered as an inference task in a Markov Chain Monte Carlo framework via particle filtering. Quantitative evaluation on challenging video sequences indicates that the proposed approach obtains considerably better performance than several recent state-of-the-art methods such as Tracking-Learning-Detection and MILtrack.
description: IEEE Winter Conference on Applications of Computer Vision (WACV), 2014
PET imaging of dopaminergic changes in the rodent brain after AAV-mediated overexpression of human α-synuclein
Creators: name: Roost, Pauline
name: Gaudin, Mylène
name: Guillermier, Martine
name: Gubinelli, Francesco
name: Cresto, Noémie
name: Eymin, Leopold
name: Josephine, Charlène
name: Gaillard, Marie-Claude
name: Bemelmans, Alexis
name: Bramoullé, Yann
name: Brouillet, Emmanuel
name: Hantraye, Philippe
name: Van Camp, Nadja
Publisher: name: Zenodo
Year: 2018
Subjects: Parkinson
PET imaging
Dopamine
a-synuclein
DAT
AADC

description: ABSTRACT – YRLS 2018

Acknowledgements

This project has been funded by the European Union Horizon 2020 Programme (H2020-MSCA-ITN-2015) under the Marie Skłodowska-Curie Innovative Training Network and Grant Agreement No. 676408.

Abstract

Parkinson’s disease (PD) is the second most prevalent age-related neurodegenerative disorder, resulting in a dopamine (DA) deficiency in the striatum [10.1016/S0896-6273(03)00568-3]. We developed two rodent PD models overexpressing either WT or mutant (A53T) human alpha-synuclein protein (α-syn) in the substantia nigra (SN) [Cresto et al., unpublished]. Our aims are to evaluate the DA changes and neuronal loss in these models by two different presynaptic PET tracers and correlate these results with behaviour and histological data.

Two groups of rats were unilateral injected in the SN with an AAV-viral vector overexpressing WT-α-syn or mutant α-syn (A53T-α-syn) and were studied using cylinder test and PET imaging at 12 weeks post injection, and subsequently sacrificed for stereological counting after tyrosine hydroxylase staining. PET imaging was performed using 6-[18F]fluoro-L-m-tyrosine [10.1111/jnc.14016](“FMT”), or [18F]-LBT999 [10.1016/j.nucmedbio.2013.09.007](“LBT").

We did not observed decreased AADC activity in ipsilateral striata with FMT for the WT-α-syn (n=3, p=0.255) nor A53T-α-syn rats (n=2, p=0.336). LBT showed decreased DA transporter (DAT) binding in the ipsilateral striata of A53T-α-syn animals (n=4, p=0.003), and a trend towards decreased DAT binding in the WT-α-syn group (n=3, p=0.051). These results are in concordance with the behavioural observations, showing roughly only 30% use of the contralateral forepaw for A53T-α-syn (n=8, p=0.045), while the WT-α-syn rats showed no significant difference (n=7, p=0.949). All counts using stereological methods and comparisons, are still ongoing.

We have shown, using in vivo PET imaging and behavioural analysis, that the A53T-α-syn vector induces stronger dopaminergic pathology than the WT-α-syn vector. This model is interesting to evaluate therapeutic strategies for PD by in vivo imaging. Additionally we have defined DAT transporter imaging, as more sensitive and robust as compared to AADC substrate imaging.
description: This project has been funded by the European Union Horizon 2020 Programme (H2020-MSCA-ITN-2015) under the Marie Skłodowska-Curie Innovative Training Network and Grant Agreement No. 676408.