cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The rare semi-leptonic $B_c$ decays involving orbitally excited final mesons
Creators: name: Ju, Wan-Li
name: Wang, Guo-Li
name: Fu, Hui-Feng
name: Wang, Zhi-Hui
name: Li, Ying
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The rare processes $B_c\to D_{(s)J} ^{(*)}μ\barμ$, where $D_{(s)J}^{(*)}$ stands for the final meson $D_{s0}^*(2317)$, $D_{s1}(2460,2536)$,~$D_{s2}^*(2573)$, $D_0^*(2400)$, $D_{1}(2420,2430)$ or~$D_{2}^*(2460)$, are studied within the Standard Model. The hadronic matrix elements are evaluated in the Bethe-Salpeter approach and furthermore a discussion on the gauge-invariant condition of the annihilation hadronic currents is presented. Considering the penguin, box, annihilation, color-favored cascade and color-suppressed cascade contributions, the observables $\text{d}Br/\text{d}Q^2$, $A_{LPL}$, $A_{FB}$ and $P_L$ are calculated.
The Nonsymmetric Kaluza-Klein Theory and Modern Physics. A Novel Approach
Creators: name: Kalinowski, M. W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Physics (physics.gen-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider in the paper the Nonsymmetric Kaluza-Klein Theory finding a condition for a color confinemet in the theory. We consider also a Kerner-Wong-Kopczynski equation in this theory. The Nonsymmetric Kaluza-Klein Theory with a spontaneous symmetry breaking and Higgs' mechanism is examined. We find a mass spectrum for a broken gauge bosons and Higgs'particles. We derive a generalisation of Kerner-Wong-Kopczynski equation in the presence of Higgs' field A new term in the equation is a generalization of a Lorentz force term for a Higgs' field. We consider also a bosonic part of GSW (Glashow-Salam-Weinberg)model in our theory,getting masses for W, Z bosons and a Higgs' boson agreed with an experiment.
description: 96 pages, no figures, some mathematical and physical extensions and corrections
Sub-realtime simulation of a neuronal network of natural density
Creators: name: Kurth, Anno C.
name: Senk, Johanna
name: Terhorst, Dennis
name: Finnerty, Justin
name: Diesmann, Markus
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Performance (cs.PF)
subject: FOS: Computer and information sciences

description: Full scale simulations of neuronal network models of the brain are challenging due to the high density of connections between neurons. This contribution reports run times shorter than the simulated span of biological time for a full scale model of the local cortical microcircuit with explicit representation of synapses on a recent conventional compute node. Realtime performance is relevant for robotics and closed-loop applications while sub-realtime is desirable for the study of learning and development in the brain, processes extending over hours and days of biological time.
Supplementary document for Efficient room-temperature molecular single-photon sources for quantum key distribution - 6240831.pdf
Creators: name: Murtaza, Ghulam
name: Colautti, Maja
name: Hilke, Michael
name: lombardi, pietro
name: Cataliotti, Francesco
name: Zavatta, Alessandro
name: Bacco, Davide
name: Toninelli, Costanza
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Supplemental material
Specialist Discussion Meeting: 3D structure of the flare chromosphere
Creators: name: Kuridze, David
name: Fletcher, Lyndsay
name: Hudson, Hugh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: David Kuridze, Lyndsay Fletcher and Hugh Hudson report on the RAS Specialist Discussion Meeting '3D Structure of the Flare Chromosphere'.
description: Journal: Astronomy & Geophysics (URL) to the published version of the Article - https://academic.oup.com/astrogeo/article/63/6/6.34/6833556
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification
Creators: name: Peng, Xi
name: Yan, Rui
name: Zhao, Bo
name: Tang, Huajin
name: Yi, Zhang
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Spatial Pyramid Matching (SPM) and its variants have achieved a lot of success in image classification. The main difference among them is their encoding schemes. For example, ScSPM incorporates Sparse Code (SC) instead of Vector Quantization (VQ) into the framework of SPM. Although the methods achieve a higher recognition rate than the traditional SPM, they consume more time to encode the local descriptors extracted from the image. In this paper, we propose using Low Rank Representation (LRR) to encode the descriptors under the framework of SPM. Different from SC, LRR considers the group effect among data points instead of sparsity. Benefiting from this property, the proposed method (i.e., LrrSPM) can offer a better performance. To further improve the generalizability and robustness, we reformulate the rank-minimization problem as a truncated projection problem. Extensive experimental studies show that LrrSPM is more efficient than its counterparts (e.g., ScSPM) while achieving competitive recognition rates on nine image data sets.
description: accepted into knowledge based systems, 2015
Aggregated Feasible Region of Heterogeneous Demand-Side Flexible Resources -- Part I: Theoretical Derivation of the Exact Model
Creators: name: Wen, Yilin
name: Hu, Zechun
name: You, Shi
name: Duan, Xiaoyu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In the first part of the two-part series, the model to describe the exact aggregated feasible region (AFR) of multiple types of demand-side resources is derived. Based on a discrete-time unified individual model of heterogeneous resources, the calculation of AFR is, in fact, a feasible region projection problem. Therefore, the Fourier-Motzkin Elimination (FME) method is used for derivation. By analyzing the redundancy of all possible constraints in the FME process, the mathematical expression and calculation method for the exact AFR is proposed. The number of constraints is linear with the number of resources and is exponential with the number of time intervals, respectively. The computational complexity has been dramatically simplified compared with the original FME. However, the number of constraints in the model is still exponential and cannot be simplified anymore. Hence, In Part II of this paper, several approximation methods are proposed and analyzed in detail.
description: 10 pages
Challenges and opportunities related to the use of chitosan as food preservative
Creators: Hu, Ziyi
Gänzle, Michael G.
Publisher: name: University of Alberta Library
Year: 2019

Chitosan has attracted a growing attention as a food preservative due to its versatility, nontoxicity, biodegradability and biocompatibility. This review aims to provide a critical appraisal of the limitations and opportunities of the use of chitosan as a food preservative. The application of chitosan as a food preservative necessitates insights into mechanisms of chitosan-mediated cell death and injury, factors affecting chitosan activity and effects of chitosan on food safety and quality. Chitosan exerts antimicrobial activity by perturbing the negatively charged cell envelope of micro-organisms with its polycationic structure. Intrinsic characteristics, including molecular weight and degree of deacetylation (DD), and other ambient conditions, including pH, temperature and neighbouring components, affect chitosan activity. Because the antimicrobial activity of chitosan is mainly based on ionic interactions with negatively charged components of the bacterial cell envelope, the food matrix can strongly interfere with the antimicrobial activity of chitosan. Despite its limited antimicrobial efficacy, chitosan demonstrates both bactericidal and bacteriostatic effects in specific food products. Moreover, chitosan can also enhance the efficacy of commercial intervention technologies, such as heat and pressure treatment, and aid the preservation of food quality, including retardation of lipid oxidation, weight loss and deterioration in sensory attributes.
Strong competition between orbital-ordering and itinerancy in a frustrated spinel vanadate
Creators: name: Ma, J.
name: Lee, J. H.
name: Hahn, S. E.
name: Hong, Tao
name: Cao, H. B.
name: Aczel, A. A.
name: Dun, Z. L.
name: Stone, M. B.
name: Tian, W.
name: Qiu, Y.
name: Copley, J. R. D.
name: Zhou, H. D.
name: Fishman, R. S.
name: Matsuda, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The crossover from localized- to itinerant-electron behavior is associated with many intriguing phenomena in condensed-matter physics. In this paper, we investigate the crossover from localized to itinerant regimes in the spinel system Mn$_{1-x}$Co$_x$V$_2$O$_4$. At low Co doping, orbital order (OO) of the localized electrons on the V3+ ions suppresses magnetic frustration by triggering a tetragonal distortion. With Co doping, electronic itinerancy melts the OO and suppresses the structural phase transition while the reduced spin-lattice coupling produces magnetic frustration. Neutron scattering measurements and first-principles-guided spin models reveal that the non-collinear state at high Co doping is produced by weakened local anisotropy and enhanced Co-V spin interactions.
description: 5 pages, 4 figures
Optimal Policy Learning: From Theory to Practice
Creators: name: Cerulli, Giovanni
Publisher: name: Zenodo
Year: 2020
Subjects: Program evaluation
Policy learning
Optimal treatment rule

description: Following in the footsteps of the literature on empirical welfare maximization, this paper wants to contribute by stressing the policymaker perspective via a practical illustration of an optimal policy assignment problem. More specifically, by focusing on the class of threshold-based policies, we first set up the theoretical underpinnings of the policymaker selection problem, to then offer a practical solution to this problem via an empirical illustration using the popular LaLonde (1986) training program dataset. The paper proposes an implementation protocol for the optimal solution that is straightforward to apply and easy to program with standard statistical software.
A Statistical Approach to Surface Metrology for 3D-Printed Stainless Steel
Creators: name: Oates, Chris. J.
name: Kendall, Wilfrid S.
name: Fleming, Liam
Publisher: name: arXiv
Year: 2021
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Surface metrology is the area of engineering concerned with the study of geometric variation in surfaces. This paper explores the potential for modern techniques from spatial statistics to act as generative models for geometric variation in 3D-printed stainless steel. The complex macro-scale geometries of 3D-printed components pose a challenge that is not present in traditional surface metrology, as the training data and test data need not be defined on the same manifold. Strikingly, a covariance function defined in terms of geodesic distance on one manifold can fail to satisfy positive-definiteness and thus fail to be a valid covariance function in the context of a different manifold; this hinders the use of standard techniques that aim to learn a covariance function from a training dataset. On the other hand, the associated covariance differential operators are locally defined. This paper proposes to perform inference for such differential operators, facilitating generalisation from the manifold of a training dataset to the manifold of a test dataset. The approach is assessed in the context of model selection and explored in detail in the context of a finite element model for 3D-printed stainless steel.
Coherence enhanced quantum-dot heat engine
Creators: name: Um, Jaegon
name: Dorfman, Konstantin E.
name: Park, Hyunggyu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We show that quantum coherence can enhance the performance of a continuous quantum heat engine in the Lindblad description. We investigate the steady-state solutions of the particle-exchanging quantum heat engine, composed of degenerate double quantum dots coupled to two heat baths in parallel, where quantum coherence may be induced due to interference between relaxation channels. We find that the engine power can be enhanced by the coherence in the nonlinear response regime, when the symmetry of coupling configurations between dots and two baths is broken. In the symmetric case, the coherence cannot be maintained in the steady state, except for the maximum interference degenerate case, where initial-condition-dependent multiple steady states appear with a dark state.
Supplementary document for An analog holographic wavefront sensor for defocus and spherical aberration detection recorded in a photopolymer - 6304994.pdf
Creators: name: Branigan, Emma
name: Martin, Suzanne
name: Sheehan, Matthew
name: Murphy, Kevin
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Effect of material shrinkage on hologram diffraction efficiency
Fulde-Ferrell-Larkin-Ovchinnikov state of two-dimensional imbalanced Fermi gases
Creators: name: Sheehy, Daniel E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: The ground-state phase diagram of attractively-interacting Fermi gases in two dimensions with a population imbalance is investigated. We find the regime of stability for the Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) phase, in which pairing occurs at finite wave vector, and determine the magnitude of the pairing amplitude $Δ$ and FFLO wavevector $q$ in the ordered phase, finding that $Δ$ can be of the order of the two-body binding energy. Our results rely on a careful analysis of the zero temperature gap equation for the FFLO state, which possesses nonanalyticities as a function of $Δ$ and $q$, invalidating a Ginzburg-Landau expansion in small $Δ$.
description: 16 pages. 14 figure files. Submitted to Physical Review A
Entanglement dynamics in hybrid quantum circuits
Creators: name: Potter, Andrew C.
name: Vasseur, Romain
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The central philosophy of statistical mechanics (stat-mech) and random-matrix theory of complex systems is that while individual instances are essentially intractable to simulate, the statistical properties of random ensembles obey simple universal "laws". This same philosophy promises powerful methods for studying the dynamics of quantum information in ideal and noisy quantum circuits -- for which classical description of individual circuits is expected to be generically intractable. Here, we review recent progress in understanding the dynamics of quantum information in ensembles of random quantum circuits, through a stat-mech lens. We begin by reviewing discoveries of universal features of entanglement growth, operator spreading, thermalization, and chaos in unitary random quantum circuits, and their relation to stat-mech problems of random surface growth and noisy hydrodynamics. We then explore the dynamics of monitored random circuits, which can loosely be thought of as noisy dynamics arising from an environment monitoring the system, and exhibit new types of measurement-induced phases and criticality. Throughout, we attempt to give a pedagogical introduction to various technical methods, and to highlight emerging connections between concepts in stat-mech, quantum information and quantum communication theory.
description: v2: various updated sections, new figures. Chapter in "Springer volume: Entanglement in Spin Chains -- Theory and Quantum Technology Applications"
Quantitative Relation between Modulational Instability and Several Well-known Nonlinear Excitations
Creators: name: Zhao, Li-Chen
name: Ling, Liming
Publisher: name: arXiv
Year: 2014
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We study on the relations between modulational instability and several well-known nonlinear excitations in a nonlinear fiber, such as bright soliton, nonlinear continuous wave, Akhmediev breather, Peregrine rogue wave, and Kuznetsov-Ma breather. We present a quantitative correspondence between them based on the dominant frequency and propagation constant of each perturbation on a continuous wave background. Especially, we find rogue wave comes from modulational instability under the "resonance" perturbation with continuous wave background. These results will deepen our understanding on rogue wave excitation and could be helpful for controllable nonlinear wave excitations in nonlinear fiber and other nonlinear systems.
description: 5 pages, 1 figure
title: Globale Infrastruktur - lokales Arbeiten: Praxis IT-gestützter Wartung bei einem Energieversorger
Creators: name: Müller, Claudia
name: Pipek, Volkmar
name: Reuter, Christian
Publisher: name: De Gruyter
Year: 2023

description: Lokale Praxis und globale Informations- und Kommunikationstechnik (IT) gehen immer dann eine sichtbare Verbindung ein, wenn IT eingesetzt wird, um Echtzeit-Informationen an einen anderen Ort zu übertragen, so wie dies z.B. durch Mobiltelefone/ MMS, ferngesteuerte Sensoren oder Live-Webcams geschieht. Diese Arbeit beschreibt eine Feldstudie zu IT-unterstützter Wartungsarbeit innerhalb der Infrastruktur eines Energieversorgers. Die Studie möchte insbesondere die Relationen zwischen lokalen Praxen und der Gestaltung einer IT-Infrastruktur als „Location Based System“ hervorheben, die nicht auf den ersten Blick sichtbar sind. Besonders richten wir den Blick sowohl auf „das Globale“ als auch auf „das Lokale“ von Strom- und IT-Infrastruktur. Wir orientieren uns am Infrastruktur-Konzept von Star & Ruhleder (1996) für eine Beschreibung und Analyse zweier unterschiedlicher Wartungsteams vor dem Hintergrund sozio-räumlicher sowie sozio-technischer Aspekte der Energieversorgungsinfrastruktur, der Informations- und Kommunikations-Infrastruktur und der jeweilig resultierenden Arbeitspraxis und diskutieren Konsequenzen für eine infrastrukturorientierte Technikgestaltung.
Supplementary document for The Light Strand: exploring flat-field modes for tracking single nano-objects - 6410042.pdf
Creators: name: Gui, Fengji
name: Jiang, Shiqi
name: Wieduwilt, Torsten
name: Scheibinger, Ramona
name: Hofmann, Johannes
name: Förster, Ronny
name: Schmidt, Markus
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: The title has been updated in this supplemental document.
Revisiting the role of privacy fatigue: A replication of Choi, Park, and Jung (2018)
Creators: name: Masur, Philipp K.
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Social and Behavioral Sciences
subject: Communication
subject: communication
subject: privacy
subject: privacy fatigue
subject: replication
subject: opencomm

description: This preregistration details a survey study that aims to replicate the following study: Choi, H., Park, J., & Jung, Y., (2018). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior 81, 42–51. https://doi.org/10.1016/j.chb.2017.12.001
A General Divergence Modeling Strategy for Salient Object Detection
Creators: name: Tian, Xinyu
name: Zhang, Jing
name: Dai, Yuchao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Salient object detection is subjective in nature, which implies that multiple estimations should be related to the same input image. Most existing salient object detection models are deterministic following a point to point estimation learning pipeline, making them incapable of estimating the predictive distribution. Although latent variable model based stochastic prediction networks exist to model the prediction variants, the latent space based on the single clean saliency annotation is less reliable in exploring the subjective nature of saliency, leading to less effective saliency divergence modeling. Given multiple saliency annotations, we introduce a general divergence modeling strategy via random sampling, and apply our strategy to an ensemble based framework and three latent variable model based solutions to explore the subjective nature of saliency. Experimental results prove the superior performance of our general divergence modeling strategy.
description: Code is available at: https://npucvr.github.io/Divergence_SOD/
Motility associated genotypes of multiple C. jejuni isolates
Creators: name: Ortega-Sanz, Irene
name: Melero, Beatriz
name: Rovira, Jordi
Publisher: name: F1000 Research Limited
Year: 2022

description: Campylobacter spp. is the leading cause of foodborne gastrointestinal infections in humans worldwide. To survive and persist under harsh condition, the flagella of the bacteria, among other factors is required to colonize the gastrointestinal tract of humans and animals. Here, the genetic basis for motility within 136 C. jejuni isolates was evaluated using two different GWAS approaches (gene presence/absence and SNPs). Multiple genes were significantly associated with motility and gene synteny patterns appeared to be associated with motility too. Many of these genes were present on a 6,4 kb region containing genes coding for transmembrane transporters, periplasmic and membrane proteins. Moreover, numerous SNPs mostly linked to increased motility were also discovered in clusters of genes, including cj0600-cj0601c and cj0803-cj0805 coding for transmembrane transporter proteins, a protease and a dehydrogenase of the membrane. Consequently, the structure and composition of membrane mediating nutrient transference seem to be important for energy availability for the flagella motor in C. jejuni. Noteworthy, these candidate genes and SNPs need to validated in an independent cohort and/or further experimental work will be required to confirm their relevance with respect to motility. Unrevealing the genetic virulence mechanism of this pathogen is key to identify genetic markers for molecular-based risk assessment assay for C. jejuni.
A gene expression signature for survival and risk prediction of Breast Cancer that improves the signatures used in clinical genomic platforms
Creators: name: Bueno-Fortes, Santiago
name: Berral-Gonzalez, Alberto
name: Alonso-Moreda, Natalia
name: Sanchez-Santos, Jose M
name: Martin-Merino, Manuel
name: De Las Rivas, Javier
Publisher: name: F1000 Research Limited
Year: 2022

description: Several gene signatures to assign risk to breast cancer have been implemented in the clinic. However, these are black boxes where the inﬂuence of markers is unclear and the risk scores have no clear biological interpretation. In addition, they can be unrelated to standard tumor markers that guide clinical decisions. Here we propose a list of gene expression markers associated with survival data and breast cancer prognosis that can be biologically interpreted. This list is obtained by applying several statistical and machine-learning techniques to survival data. This results in the development of a robust pipeline to perform risk and survival analysis where the influence of each marker and the risk scores are shown and have a clear biological interpretation.
energies-15-07783.pdf
Creators: name: Kanwal, Fariha
name: Torriero, Angel
Publisher: name: Deakin University
Year: 2023
Subjects: subject: 30604 Electrochemistry
subject: FOS: Chemical sciences
subject: 30699 Physical Chemistry not elsewhere classified
subject: 30201 Bioinorganic Chemistry

description: This review article provides an updated revision of biohydrogen production via photofermentation, dark fermentation, and microbial electrolysis cells using different waste materials as feedstocks. Besides, the role of nanotechnology in enhancing biohydrogen production is examined. Under anaerobic conditions, hydrogen is produced during the conversion of organic substrate into organic acids using fermentative bacteria and during the conversion of organic acids into hydrogen and carbon dioxide using photofermentative bacteria. Different factors that enhance the biohydrogen production of these organisms, either combined or sequentially, using dark and photofermentation processes, are examined, and the effect of each factor on biohydrogen production efficiency is reported. A comparison of hydrogen production efficiency between dark fermentation, photofermentation, and two-stage processes is also presented.
Assessing SARS-CoV-2 evolution through the analysis of emerging mutations
Creators: name: Pechlivanis, Nikolaos
name: Mitsigkolas, Anastasios
name: Psomopoulos, Fotis
name: Bosdriesz, Evert
Publisher: name: F1000 Research Limited
Year: 2022

description: The number of studies on SARS-CoV-2 published on a daily basis is constantly increasing, in an attempt to understand and address the challenges posed by the pandemic in a better way. Most of these studies also include a phylogeny of SARS-CoV-2 as background context, always taking into consideration the latest data in order to construct an updated tree. However, some of these studies have also revealed the difficulties of inferring a reliable phylogeny. [13] have shown that reliable phylogeny is an inherently complex task due to a large number of highly similar sequences, given the relatively low number of mutations evident in each sequence. From this viewpoint, there is indeed a challenge and an opportunity in identifying the evolutionary history of the SARS-CoV-2 virus, in order to assist the phylogenetic analysis process as well as support researchers in keeping track of the virus and the course of its characteristic mutations, and in finding patterns of the emerging mutations themselves and the interactions between them. The research question is formulated as follows: Detecting new patterns of co-occurring mutations beyond the strain-specific / strain-defining ones, in SARS-CoV-2 data, through the application of ML methods.Going beyond the traditional phylogenetic approaches, we will be designing and implementing a clustering method that will effectively create a dendrogram of the involved sequences, based on a feature space defined on the present mutations, rather than the entire sequence. Ultimately, this ML method is tested out in sequences retrieved from public databases and validated using the available metadata as labels. The main goal of the project is to design, implement and evaluate software that will automatically detect and cluster relevant mutations, that could potentially be used to identify trends in emerging variants.
คุณภาพการให้บริการของธนาคารเพื่อการเกษตรและสหกรณ์การเกษตร สาขาท่าตะโก อำเภอท่าตะโก จังหวัดนครสวรรค์ ตามหลักสังคหวัตถุธรรม
Creators: name: จุลลดา พุทธรักษา
Publisher: name: มหาวิทยาลัยมหาจุฬาลงกรณราชวิทยาลัย วิทยาเขตนครสวรรค์
Year: 2023
Subjects: คุณภาพ
การให้บริการ
หลักสังคหวัตถุธรรม

description: The Journal of Research and Academics, 6, 2, 41-52
title: Surreale Subversion des Trauerns
title: Surreal subversion of mourning. A qualitative study on the special situation of parents with dead children
titleType: AlternativeTitle
Creators: name: Berger, Stephanie
Publisher: name: Universitätsbibliothek Siegen
Year: 2023
Subjects: subject: 230 Theologie, Christentum
subject: Trauer
subject: Verwaiste Eltern
subject: Trauerbewältigung
subject: Sternenkinder
subject: Kindertod
subject: Mourning
subject: Orphaned parents
subject: Grief recovery
subject: Child death
subject: Trauerarbeit
subject: Praktische Theologie

description: Aufgrund eigener Trauererlebnisse der Forscherin und der damit einhergehenden intensiven Beschäftigung mit der Trauer von verwaisten Eltern entstand dieses Promotionsprojekt. Geleitet von der Forschungsfrage, die nach den spezifischen Merkmalen dieser Lebenskrise sowie insbesondere den Ressourcen der Trauernden hinsichtlich eines würdigen Daseins nach dieser Katastrophe sucht, wurde anhand des empirisch-qualitativen Forschungsparadigmas der Grounded Theory eine Befragung mit Betroffenen durchgeführt. Die 17 auf Basis eines Leitfadens erfolgten Interviews wurden gemäß bestimmter Kriterien und mittels der Software MAXQDA analysiert und ausgewertet. Zu den wichtigsten Ergebnissen der Studie zählt, dass die besondere Situation der Eltern sich surreal und subversiv gestaltet sowie dass ihre Trauer eine transformative Erfahrung darstellt, die geeignet ist, die erlebte Katastrophe förderlich in ihr künftiges Leben zu integrieren. Die vorliegende Arbeit versteht sich mit ihren Ergebnissen und Empfehlungen in diesem Sinne als Beitrag zur Praktischen Theologie.
description: Due to the researcher's own experiences of grief and the accompanying intensive study of the grief of orphaned parents, this doctoral project came into being. Guided by the research question, which searches for the specific characteristics of this life crisis as well as in particular the resources of the mourners with regard to a dignified existence after this catastrophe, a survey with affected persons was conducted using the empirical-qualitative research paradigm of Grounded Theory. The 17 interviews, conducted on the basis of a guide, were analyzed and evaluated according to specific criteria and using MAXQDA software. Among the most important findings of the study is that the particular situation of the parents is surreal and subversive, as well as that their grief is a transformative experience, capable of integrating the disaster they experienced in a beneficial way in their future lives. In this sense, the present work, with its findings and recommendations, sees itself as a contribution to practical theology.
Broken-axisymmetry state and magnetic state diagram of spin-1 condensate through the prism of quadrupole degrees of freedom
Creators: name: Bulakhov, M
name: Peletminskii, A S
name: Peletminskii, S V
name: Slyusarenko, Yu V
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We theoretically study a weakly interacting gas of spin-1 atoms with Bose-Einstein condensate in external magnetic field within the Bogoliubov approach. To this end, in contrast to previous studies, we employ the general Hamiltonian, which includes both spin and quadrupole exchange interactions as well as the couplings of the spin and quadrupole moment with the external magnetic field (the linear and quadratic Zeeman terms). The latter is responsible for the emergence of the broken-axisymmetry state. We also re-examine ferromagnetic, quadrupolar, and paramagnetic states employing the proposed Hamiltonian. For all magnetic states, we find the relevant thermodynamic characteristics such as magnetization, quadrupole moment, thermodynamic potential, as well as excitation energies for broken-axisymmetry state. We show that the broken-axisymmetry state can be prepared at three different regimes of applied magnetic field. We also present the magnetic state diagrams for each regime of realizing the broken-axisymmetry state.
description: 14 pages, 2 figures, 4 tables
A geometric perspective on the scaling limits of critical Ising and $φ^4_d$ models
Creators: name: Aizenman, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The lecture delivered at the \emph{Current Developments in Mathematics} conference (Harvard-MIT, 2021) focused on the recent proof of the Gaussian structure of the scaling limits of the critical Ising and $φ^4$ fields in the marginal case of four dimensions(joint work with Hugo Duminil-Copin). These notes expand on the background of the question addressed by this result, approaching it from two partly overlapping perspectives: one concerning critical phenomena in statistical mechanics and the other functional integrals over Euclidean spaces which could serve as a springboard to quantum field theory. We start by recalling some basic results concerning the models' critical behavior in different dimensions. The analysis is framed in the models' stochastic geometric random current representation. It yields intuitive explanations as well as tools for proving a range of dimension dependent results, including: the emergence in $2D$ of Fermionic degrees of freedom, the non-gaussianity of the scaling limits in two dimensions, and conversely the emergence of Gaussian behavior in four and higher dimensions. To cover the marginal case of $4D$ the tree diagram bound which has sufficed for higher dimensions needed to be supplemented by a singular correction. Its presence was established through multi-scale analysis in a recent joint work with HDC.
description: Notes expanding on the subject of the author's lecture at "Current Developments in Mathematics 2020'' (Harvard-MIT Jan 2021). 41 pages. Corrected by including the previously omitted absolute value signs on |f| in the RHS of equations (7.9) and (10.11)
Scalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet
Creators: name: Isaac, Tobin
name: Petra, Noemi
name: Stadler, Georg
name: Ghattas, Omar
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: Computation (stat.CO)
subject: Methodology (stat.ME)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 35Q62, 62F15, 35R30, 35Q93, 65C60, 49M15, 86A40

description: The majority of research on efficient and scalable algorithms in computational science and engineering has focused on the forward problem: given parameter inputs, solve the governing equations to determine output quantities of interest. In contrast, here we consider the broader question: given a (large-scale) model containing uncertain parameters, (possibly) noisy observational data, and a prediction quantity of interest, how do we construct efficient and scalable algorithms to (1) infer the model parameters from the data (the deterministic inverse problem), (2) quantify the uncertainty in the inferred parameters (the Bayesian inference problem), and (3) propagate the resulting uncertain parameters through the model to issue predictions with quantified uncertainties (the forward uncertainty propagation problem)? We present efficient and scalable algorithms for this end-to-end, data-to-prediction process under the Gaussian approximation and in the context of modeling the flow of the Antarctic ice sheet and its effect on sea level. The ice is modeled as a viscous, incompressible, creeping, shear-thinning fluid. The observational data come from InSAR satellite measurements of surface ice flow velocity, and the uncertain parameter field to be inferred is the basal sliding parameter. The prediction quantity of interest is the present-day ice mass flux from the Antarctic continent to the ocean. We show that the work required for executing this data-to-prediction process is independent of the state dimension, parameter dimension, data dimension, and number of processor cores. The key to achieving this dimension independence is to exploit the fact that the observational data typically provide only sparse information on model parameters. This property can be exploited to construct a low rank approximation of the linearized parameter-to-observable map.
Accelerating Deep Learning Classification with Error-controlled Approximate-key Caching
Creators: name: Finamore, Alessandro
name: Roberts, James
name: Gallo, Massimo
name: Rossi, Dario
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: While Deep Learning (DL) technologies are a promising tool to solve networking problems that map to classification tasks, their computational complexity is still too high with respect to real-time traffic measurements requirements. To reduce the DL inference cost, we propose a novel caching paradigm, that we named approximate-key caching, which returns approximate results for lookups of selected input based on cached DL inference results. While approximate cache hits alleviate DL inference workload and increase the system throughput, they however introduce an approximation error. As such, we couple approximate-key caching with an error-correction principled algorithm, that we named auto-refresh. We analytically model our caching system performance for classic LRU and ideal caches, we perform a trace-driven evaluation of the expected performance, and we compare the benefits of our proposed approach with the state-of-the-art similarity caching -- testifying the practical interest of our proposal.
description: Accepted at IEEE Infocom 2022
Radio wavefront of very inclined extensive air-showers: a simulation study for extended and sparse radio arrays
Creators: name: Decoene, Valentin
name: Martineau-Huynh, Olivier
name: Tueros, Matias
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Radio-detection is becoming an established technique for the detection of air showers induced by cosmic particles. This is in particular true at the highest energies, where very large detection areas are required. A proper description of the shape of the radio wavefront emitted by air showers may allow to reconstruct the properties of its parent particle. In this article, we show that for showers with zenith angles larger than 60° --those targeted by giant radio arrays detecting extensive air showers induced by cosmic particles--, a point-source-like description of the radio wavefront allows to constraint the lateral position of the shower axis within a few meters. Following, we show that the reconstructed longitudinal position of this point source is correlated with the nature of the cosmic rays initiating the shower. Further systematic studies are pending to determine the robustness of this parameter and its validity as a proxy for cosmic ray composition studies.
description: 24 pages, 13 figures
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Creators: name: Albers, Jasper
name: Pronold, Jari
name: Kurth, Anno Christopher
name: Vennemo, Stine Brekke
name: Mood, Kaveh Haghighi
name: Patronis, Alexander
name: Terhorst, Dennis
name: Jordan, Jakob
name: Kunkel, Susanne
name: Tetzlaff, Tom
name: Diesmann, Markus
name: Senk, Johanna
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Biological sciences

description: Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease. This process goes hand in hand with advancements in the theory of neuronal networks and increasing availability of detailed anatomical data on brain connectivity. Large-scale models that study interactions between multiple brain areas with intricate connectivity and investigate phenomena on long time scales such as system-level learning require progress in simulation speed. The corresponding development of state-of-the-art simulation engines relies on information provided by benchmark simulations which assess the time-to-solution for scientifically relevant, complementary network models using various combinations of hardware and software revisions. However, maintaining comparability of benchmark results is difficult due to a lack of standardized specifications for measuring the scaling performance of simulators on high-performance computing (HPC) systems. Motivated by the challenging complexity of benchmarking, we define a generic workflow that decomposes the endeavor into unique segments consisting of separate modules. As a reference implementation for the conceptual workflow, we develop beNNch: an open-source software framework for the configuration, execution, and analysis of benchmarks for neuronal network simulations. The framework records benchmarking data and metadata in a unified way to foster reproducibility. For illustration, we measure the performance of various versions of the NEST simulator across network models with different levels of complexity on a contemporary HPC system, demonstrating how performance bottlenecks can be identified, ultimately guiding the development toward more efficient simulation technology.
description: 32 pages, 8 figures, 1 listing
GUÍA PARA LAS CLASES PRÁCTICAS DE SISTEMAS DE INFORMACIÓN GEOGRÁFICA - FACULTAD CIENCIAS BIOLÓGICAS -UCE
Creators: name: Guarderas, Paulina
name: Rosero, Camilo
Publisher: name: Zenodo
Year: 2023
Subjects: GIS, practical guides, Ciencias Biológicas

description: Guía para el desarrollo de las clases prácticas de la asignatura de Sistemas de Información Geográfica que se imparten en las Carreras de la Facultad de Ciencias Biológicas de la Universidad Central del Ecuador
mobilenet-v1-.tensorflow model
Creators: name: Authors, The TensorFlow
Publisher: name: Zenodo
Year: 2018
Subjects: MLPerf
Model
inference
MobileNets
TensorFlow
v1

description: MobileNet models for TensorFlow archived from github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md to ensure the stability of Collective Knowledge packages and workflows used to automate the MLPerf benchmark.

Copyright The TensorFlow Authors. Apache License Version 2.0
Absorption of scalars by nonextremal charged black holes in string theory
Creators: name: Moura, Filipe
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We analyze the low frequency absorption cross section of minimally coupled massless scalar fields by different kinds of charged static black holes in string theory, namely the D1-D5 system in d=5 and a four dimensional dyonic four-charged black hole. In each case we show that this cross section always has the form of some parameter of the solution divided by the black hole Hawking temperature. We also verify in each case that, despite its explicit temperature dependence, such quotient is finite in the extremal limit, giving a well defined cross section. We show that this precise explicit temperature dependence also arises in the same cross section for black holes with string alpha' corrections: it is actually induced by them.
description: 18 pages. v2: some clarifications were introduced.v3: published version
MobileNets-v1-20170614 for MLPerf Inference (Edge)
Creators: name: Authors, The TensorFlow
Publisher: name: Zenodo
Year: 2018
Subjects: MLPerf
Model
inference
MobileNets
TensorFlow
v1

description: MobileNet models for TensorFlow archived from github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md to ensure the stability of Collective Knowledge packages and workflows used to automate the MLPerf benchmark.

Copyright The TensorFlow Authors. Apache License Version 2.0
Analysis of the theoretical bias in dark matter direct detection
Creators: name: Catena, Riccardo
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Fitting the model "A" to dark matter direct detection data, when the model that underlies the data is "B", introduces a theoretical bias in the fit. We perform a quantitative study of the theoretical bias in dark matter direct detection, with a focus on assumptions regarding the dark matter interactions, and velocity distribution. We address this problem within the effective theory of isoscalar dark matter-nucleon interactions mediated by a heavy spin-1 or spin-0 particle. We analyze 24 benchmark points in the parameter space of the theory, using frequentist and Bayesian statistical methods. First, we simulate the data of future direct detection experiments assuming a momentum/velocity dependent dark matter-nucleon interaction, and an anisotropic dark matter velocity distribution. Then, we fit a constant scattering cross section, and an isotropic Maxwell-Boltzmann velocity distribution to the simulated data, thereby introducing a bias in the analysis. The best fit values of the dark matter particle mass differ from their benchmark values up to 2 standard deviations. The best fit values of the dark matter-nucleon coupling constant differ from their benchmark values up to several standard deviations. We conclude that common assumptions in dark matter direct detection are a source of potentially significant bias.
description: 22 pages, 7 figures, replaced to match the published version
Entanglement entropy and localization in disordered quantum chains
Creators: name: Laflorencie, Nicolas
Publisher: name: arXiv
Year: 2021
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: This chapter addresses the question of quantum entanglement in disordered chains, focusing on the von-Neumann and Rényi entropies for three important classes of random systems: Anderson localized, infinite randomness criticality, and many-body localization (MBL). We review previous works, and also present new results for the entanglement entropy of random spin chains at low and high energy.
description: Chapter book in "Entanglement in Spin Chains - From Theory to Quantum Technology Applications", Bayat, A., Bose, S., Johannesson, H. (eds)
Deciding positivity of multisymmetric polynomials
Creators: name: Görlach, Paul
name: Riener, Cordian
name: Weißer, Tillmann
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: The question how to certify non-negativity of a polynomial function lies at the heart of Real Algebra and also has important applications to Optimization. In this article we investigate the question of non-negativity in the context of multisymmetric polynomials. In this setting we generalize the characterization of non-negative symmetric polynomials by adapting the method of proof developed by the second author. One particular case where our results can be applied is the question of certifying that a (multi-)symmetric polynomial defines a convex function. As a direct corollary of our main result we are able to derive that in the case of (multi-)symmetric polynomials of a fixed degree testing for convexity can be done in a time which is polynomial in the number of variables. This is in sharp contrast to the general case, where it is known that testing for convexity is NP-hard already in the case of quartic polynomials.
description: 15 pages, 3 figures, revision based on suggestions by referee