cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 1 of Validity of diagnoses and procedures in Japanese dental claims data
Creators: name: Ono, Sachiko
name: Ishimaru, Miho
name: Ida, Yusuke
name: Yamana, Hayato
name: Ono, Yosuke
name: Hoshi, Kazuto
name: Yasunaga, Hideo
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1.
Stable Training of Probabilistic Models Using the Leave-One-Out Maximum Log-Likelihood Objective
Creators: name: Bölat, Kutay
name: Tindemans, Simon H.
name: Palensky, Peter
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Probabilistic modelling of power systems operation and planning processes depends on data-driven methods, which require sufficiently large datasets. When historical data lacks this, it is desired to model the underlying data generation mechanism as a probability distribution to assess the data quality and generate more data, if needed. Kernel density estimation (KDE) based models are popular choices for this task, but they fail to adapt to data regions with varying densities. In this paper, an adaptive KDE model is employed to circumvent this, where each kernel in the model has an individual bandwidth. The leave-one-out maximum log-likelihood (LOO-MLL) criterion is proposed to prevent the singular solutions that the regular MLL criterion gives rise to, and it is proven that LOO-MLL prevents these. Relying on this guaranteed robustness, the model is extended by adjustable weights for the kernels. In addition, a modified expectation-maximization algorithm is employed to accelerate the optimization speed reliably. The performance of the proposed method and models are exhibited on two power systems datasets using different statistical tests and by comparison with Gaussian mixture models. Results show that the proposed models have promising performance, in addition to their singularity prevention guarantees.
High-order geometric integrators for the local cubic variational Gaussian wavepacket dynamics
Creators: name: Fereidani, Roya Moghaddasi
name: Vaníček, Jiří JL
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Gaussian wavepacket dynamics has proven to be a useful semiclassical approximation for quantum simulations of high-dimensional systems with low anharmonicity. Compared to Heller's original local harmonic method, the variational Gaussian wavepacket dynamics is more accurate, but much more difficult to apply in practice because it requires evaluating the expectation values of the potential energy, gradient, and Hessian. If the variational approach is applied to the local cubic approximation of the potential, these expectation values can be evaluated analytically, but still require the costly third derivative of the potential. To reduce the cost of the resulting local cubic variational Gaussian wavepacket dynamics, we describe efficient high-order geometric integrators, which are symplectic, time-reversible, and norm-conserving. For small time steps, they also conserve the effective energy. We demonstrate the efficiency and geometric properties of these integrators numerically on a multi-dimensional, nonseparable coupled Morse potential.
Nonequilibrium phase transition in a driven Potts model with friction
Creators: name: Igloi, Ferenc
name: Pleimling, Michel
name: Turban, Loic
Publisher: name: arXiv
Year: 2010
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We consider magnetic friction between two systems of $q$-state Potts spins which are moving along their boundaries with a relative constant velocity $v$. Due to the interaction between the surface spins there is a permanent energy flow and the system is in a steady state which is far from equilibrium. The problem is treated analytically in the limit $v=\infty$ (in one dimension, as well as in two dimensions for large-$q$ values) and for $v$ and $q$ finite by Monte Carlo simulations in two dimensions. Exotic nonequilibrium phase transitions take place, the properties of which depend on the type of phase transition in equilibrium. When this latter transition is of first order, a sequence of second- and first-order nonequilibrium transitions can be observed when the interaction is varied.
description: 13 pages, 9 figures, one journal reference added
Effect of shear force on the separation of double stranded DNA
Creators: name: Mishra, Rakesh Kumar
name: Mishra, Garima
name: Li, M. S.
name: Kumar, Sanjay
Publisher: name: arXiv
Year: 2011
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Using the Langevin Dynamics simulation, we have studied the effects of the shear force on the rupture of short double stranded DNA at different temperatures. We show that the rupture force increases linearly with the chain length and approaches to the asymptotic value in accordance with the experiment. The qualitative nature of these curves almost remains same for different temperatures but with a shift in the force. We observe three different regimes in the extension of covalent bonds (back bone) under the shear force.
description: 4 pages, 4 figures
Predicting Bugs' Components via Mining Bug Reports
Creators: name: Wang, Deqing
name: Zhang, Hui
name: Liu, Rui
name: Lin, Mengxiang
name: Wu, Wenjun
name: Hu, Hongping
Publisher: name: arXiv
Year: 2010
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The number of bug reports in complex software increases dramatically. Now bugs are triaged manually, bug triage or assignment is a labor-intensive and time-consuming task. Without knowledge about the structure of the software, testers often specify the component of a new bug wrongly. Meanwhile, it is difficult for triagers to determine the component of the bug only by its description. We dig out the components of 28,829 bugs in Eclipse bug project have been specified wrongly and modified at least once. It results in these bugs have to be reassigned and delays the process of bug fixing. The average time of fixing wrongly-specified bugs is longer than that of correctly-specified ones. In order to solve the problem automatically, we use historical fixed bug reports as training corpus and build classifiers based on support vector machines and Naïve Bayes to predict the component of a new bug. The best prediction accuracy reaches up to 81.21% on our validation corpus of Eclipse project. Averagely our predictive model can save about 54.3 days for triagers and developers to repair a bug. Keywords: bug reports; bug triage; text classification; predictive model
description: some wrongs. new version will come
Gravitational radiation for extreme mass ratio inspirals to the 14th post-Newtonian order
Creators: name: Fujita, Ryuichi
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We derive gravitational waveforms needed to compute the 14th post-Newtonian (14PN) order energy flux for a particle in circular orbit around a Schwarzschild black hole, i.e. $v^{28}$ beyond the leading Newtonian approximation where $v$ is the orbital velocity of a test particle. We investigate the convergence of the energy flux in the PN expansion and suggest a fitting formula which can be used to extract unknown higher order PN coefficients from accurate numerical data for more general orbits around a Kerr black hole. The phase difference between the 14PN waveforms and numerical waveforms after two years inspiral is shown to be about $10^{-7}$ for $μ/M=10^{-4}$ and $10^{-3}$ for $μ/M=10^{-5}$ where $μ$ is the mass of a compact object and $M$ the mass of the central supermassive black hole. In first order black hole perturbation theory, for extreme mass ratio inspirals which are one of the main targets of Laser Interferometer Space Antenna, the 14PN expressions will lead to the data analysis accuracies comparable to the ones resulting from high precision numerical waveforms.
description: 8 pages, 2 figures
From Zero-Shot Machine Learning to Zero-Day Attack Detection
Creators: name: Sarhan, Mohanad
name: Layeghy, Siamak
name: Gallagher, Marcus
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: The standard ML methodology assumes that the test samples are derived from a set of pre-observed classes used in the training phase. Where the model extracts and learns useful patterns to detect new data samples belonging to the same data classes. However, in certain applications such as Network Intrusion Detection Systems, it is challenging to obtain data samples for all attack classes that the model will most likely observe in production. ML-based NIDSs face new attack traffic known as zero-day attacks, that are not used in the training of the learning models due to their non-existence at the time. In this paper, a zero-shot learning methodology has been proposed to evaluate the ML model performance in the detection of zero-day attack scenarios. In the attribute learning stage, the ML models map the network data features to distinguish semantic attributes from known attack (seen) classes. In the inference stage, the models are evaluated in the detection of zero-day attack (unseen) classes by constructing the relationships between known attacks and zero-day attacks. A new metric is defined as Zero-day Detection Rate, which measures the effectiveness of the learning model in the inference stage. The results demonstrate that while the majority of the attack classes do not represent significant risks to organisations adopting an ML-based NIDS in a zero-day attack scenario. However, for certain attack groups identified in this paper, such systems are not effective in applying the learnt attributes of attack behaviour to detect them as malicious. Further Analysis was conducted using the Wasserstein Distance technique to measure how different such attacks are from other attack types used in the training of the ML model. The results demonstrate that sophisticated attacks with a low zero-day detection rate have a significantly distinct feature distribution compared to the other attack classes.
Additional file 1 of A deep learning method for predicting knee osteoarthritis radiographic progression from MRI
Creators: name: Schiratti, Jean-Baptiste
name: Dubois, Rémy
name: Herent, Paul
name: Cahané, David
name: Dachary, Jocelyn
name: Clozel, Thomas
name: Wainrib, Gilles
name: Keime-Guibert, Florence
name: Lalande, Agnes
name: Pueyo, Maria
name: Guillier, Romain
name: Gabarroca, Christine
name: Moingeon, Philippe
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 1: Table 1. Listing and description of the clinical variables used in predictive models. Figure 7. Average One-vs-One PR-AUC as a function of threshold pairs (T1, T2)= (threshold1, threshold2). Each tile is colored according to the average of PR-AUC scores (5-fold CV) obtained using the 853 clinical variables at baseline (all the clinical variables available at baseline, except those associated with a self-evaluation of pain). Figure 8. Confusion matrix for the three-classes WOMAC pain score. Rows correspond to “true” classes whereas columns correspond to predicted classes. Class 0 versus 1 or 2: Precision of 64%, recall of 90% and F1 of 75%. Class 2 versus 0: Precision of 76%, recall of 20% and F1 of 32%.
Genuine Tripartite Entanglement in a Spin-Star Network at Thermal Equilibrium
Creators: name: Militello, B.
name: Messina, A.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In a recent paper [M. Huber {\it et al}, Phys. Rev. Lett. {\bf 104}, 210501 (2010)] new criteria to find out the presence of multipartite entanglement have been given. We exploit these tools in order to study thermal entanglement in a spin-star network made of three peripheral spins interacting with a central one. Genuine tripartite entanglement is found in a wide range of the relevant parameters. A comparison between predictions based on the new criteria and on the tripartite negativity is also given.
description: 8 pages, 13 figures
Normalized solutions for a nonlinear Dirac equation
Creators: name: Zelati, Vittorio Coti
name: Nolasco, Margherita
Publisher: name: arXiv
Year: 2023
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35Q40 35P30 47J10 49J35

description: We prove the existence of a normalized, stationary solution $Ψ\colon \mathbb{R}^{3} \to \mathbb{C}^{4}$ with frequency $w > 0$ of the nonlinear Dirac equation. The result covers the case in which the nonlinearity is the gradient of a function of the form \begin{equation*} F(Ψ) = a|(Ψ, γ^{0}Ψ)|^{\fracα{2}} + b|(Ψ, γ^{1}γ^{2} γ^{3} Ψ)|^{\fracα{2}} \end{equation*} with $α\in (2,\frac{8}{3}]$, $b \geq 0$ and $a > 0$ sufficiently small. Here $γ^{i}$, $i = 0,\ldots, 3$ are the $4 \times 4$ Dirac's matrices.
 We find the solution as a critical point of a suitable functional restricted to the unit sphere in $L^{2}$, and $w$ turns out to be the corresponding Lagrange multiplier.
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Creators: name: Sarhan, Mohanad
name: Layeghy, Siamak
name: Moustafa, Nour
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Cryptography and Security (cs.CR)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: The uses of Machine Learning (ML) in detection of network attacks have been effective when designed and evaluated in a single organisation. However, it has been very challenging to design an ML-based detection system by utilising heterogeneous network data samples originating from several sources. This is mainly due to privacy concerns and the lack of a universal format of datasets. In this paper, we propose a collaborative federated learning scheme to address these issues. The proposed framework allows multiple organisations to join forces in the design, training, and evaluation of a robust ML-based network intrusion detection system. The threat intelligence scheme utilises two critical aspects for its application; the availability of network data traffic in a common format to allow for the extraction of meaningful patterns across data sources. Secondly, the adoption of a federated learning mechanism to avoid the necessity of sharing sensitive users' information between organisations. As a result, each organisation benefits from other organisations cyber threat intelligence while maintaining the privacy of its data internally. The model is trained locally and only the updated weights are shared with the remaining participants in the federated averaging process. The framework has been designed and evaluated in this paper by using two key datasets in a NetFlow format known as NF-UNSW-NB15-v2 and NF-BoT-IoT-v2. Two other common scenarios are considered in the evaluation process; a centralised training method where the local data samples are shared with other organisations and a localised training method where no threat intelligence is shared. The results demonstrate the efficiency and effectiveness of the proposed framework by designing a universal ML model effectively classifying benign and intrusive traffic originating from multiple organisations without the need for local data exchange.
The Wrong Kind of Information
Creators: name: Kuvalekar, Aditya
name: Ramos, João
name: Schneider, Johannes
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Economics (econ.GN)
subject: FOS: Economics and business

description: Agents, some with a bias, decide between undertaking a risky project and a safe alternative based on information about the project's efficiency. Only a part of that information is verifiable. Unbiased agents want to undertake only efficient projects, while biased agents want to undertake any project. If the project causes harm, a court examines the verifiable information, forms a belief about the agent's type, and decides the punishment. Tension arises between deterring inefficient projects and a chilling effect on using the unverifiable information. Improving the unverifiable information always increases overall efficiency, but improving the verifiable information may reduce efficiency.
Quantum measurement schemes related to flavor-weighted energies
Creators: name: Bernardini, Alex E.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Reporting about the density matrix theory for a composite quantum system of flavor eigenstates, we introduce the idea of flavor-weighted energies. It provides us with the right correlation between the energies of flavor eigenstates and their measurement probabilities. In addition, the apparent ambiguities which follow from computing flavor-averaged energies are suppressed. The framework of the generalized theory of quantum measurement also provides some theoretical tools for computing the von-Neumann entropy correlated to flavor associated energies. It allows for relating flavor weighted(averaged) energies to non-selective (selective) quantum measurement schemes. As a final issue, the connection of such flavor associated energies with the expressions for neutrino effective mass values is investigated. It is straightforwardly verified that cosmological background neutrino energy densities could be obtained from the coherent superposition of mass eigenstates. Our results show that the non-selective measurement scheme for obtaining flavor-weighted energies is consistent with the predictions from the single-particle quantum mechanics.
description: 24 pags, 07 figs. For completeness, at Sec. V, we have added the contents related to the 1-particle QM of relic neutrinos (Fuller and Kishimoto, arXiv:0811.4370v2), for which our approach provides a consistent formulation through quantum measurement schemes that ratify the results from there. The credits/quotations reported at Sec.V are consistent and accurately given to PRL (102), 201303 (2009)
Private Information Retrieval Schemes Using Cyclic Codes
Creators: name: Bodur, Şeyma
name: Martínez-Moro, Edgar
name: Ruano, Diego
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: A Private Information Retrieval (PIR) scheme allows users to retrieve data from a database without disclosing to the server information about the identity of the data retrieved. A coded storage in a distributed storage system with colluding servers is considered in this work, namely the approach in [$t$-private information retrieval schemes using transitive codes, IEEE Trans. Inform. Theory, vol. 65, no. 4, pp. 2107-2118, 2019] which considers a storage and retrieval code with a transitive group and provides binary PIR schemes with the highest possible rate. Reed-Muller codes were considered in [$t$-private information retrieval schemes using transitive codes, IEEE Trans. Inform. Theory, vol. 65, no. 4, pp. 2107-2118, 2019]. In this work, we consider cyclic codes and we show that binary PIR schemes using cyclic codes provide a larger constellation of PIR parameters and they may outperform the ones coming from Reed-Muller codes in some cases.
title: Sustainability in Crisis: Towards Business Continuity in Small and Medium Enterprises
Creators: name: Syed, Hussain Abid
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: Small and Medium Enterprises (SMEs) epitomize a vital part in all developed and developing economies. SMEs being peculiar in nature and operations are often the most affected in case of an emergency or a crisis. Mostly, the scarcity of resources in respect to employees, time and capital make them more vulnerable to crisis. This article instantiates the need of risk assessment and disaster preparedness, and hence the utility of BCM in the context of SMEs as a viable option. It further establishes the technological foundation of a comprehensive BCM realization for SMEs.
title: Crafting Unconventional Artifacts to Support Long-distance Relationships: An Overview of Doctoral Research
Creators: name: Li, Hong
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: This paper presents an overview of my doctoral research thus far, which has been dedicated to creating unconventional artifacts that use interaction solutions beyond conventional screen displays to mediate emotional communication in the use case of long-distance relationships.
title: La continuité des soins
title: une opportunité au coeur de la pratique infirmière
titleType: Subtitle
title: La continuité des soins
titleType: AlternativeTitle
Creators: name: Tribolet, Fanny
name: Suwanakul, Saranyavit
name: Pasquier, Sophie
Publisher: name: Unknown
Year: 0
Subjects: subject: Continuité des soins
subject: Soins infirmiers

description: En Suisse, l’espérance de vie de la population augmente et par conséquent le nombre de personnes touchées par une ou plusieurs maladies chroniques également. Les situations de soins se complexifient et nécessitent un suivi dans des lieux de soins divers avec de multiples intervenants. Une discontinuité dans le parcours du patient peut provoquer une augmentation du recours aux urgences ou des ré-hospitalisations qui pourraient être évitées. De ce fait, la coordination et la communication interprofessionnelles sont primordiales, tout comme l’implication du patient.
title: Feedback Practices in Collaborative Video Editing
Creators: name: Okopnyi, Pavel
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: This project focuses on feedback practices in collaborative video editing. Video editing is commonly done collaboratively, but when done in a distributed and asynchronous setting, there are challenges tied to how to give feedback and refer to particular issues and segments of the moving images. This project aims to understand these feedback practices through interviews and observations of video workers, identify implications for design, and conduct design workshops with video editing professionals to prototype solutions for supporting awareness in collaborative video editing.
Art, education, Arendt : political and aesthetic gestures of amor mundi
Creators: name: Ryoo, Anna
Publisher: name: University of British Columbia
Year: 2022

description: This dissertation engages with the work of Hannah Arendt as the backbone of this study to question what it means to act for the love of the world at the intersections of art, aesthetics, education, philosophy, and politics. I delve into some of the contentious aspects of her political theory and philosophy as entry points to probe into what it means to respond to world events aesthetically and educationally. This dissertation consists of two parts. In Part I, I explicate why it matters to think with Arendt, one of the most idiosyncratic thinkers of the 20th century. To do so, I first discuss three of what I call Arendt’s un/identified methods: existing in excess as a work of art, engaging in the activity of thinking, and critiquing and prying lose the rich and the strange as a pearl diver. I follow this account with my re-interpretation of her assertion that education is pre-political and must be conservative, as education is that which occurs between Arendt’s notion of the first miracle and the second miracle. Part II transitions into the public, political realm. I begin by placing a spotlight on some of the artworks from the Sichuan earthquake project led by Chinese contemporary artist Ai Weiwei. I then examine contentious aspects of what is considered a suitable political art from the multiple perspectives of political theorists, political philosophers, art critics, and art theorists. To further think critically about Arendt’s notion of political action, I consider her critics’ views on the inadequacy of her thoughts for today’s political sphere and use their criticisms to lay out some of the most fundamental aspects of her work. I contend that Arendt’s scholarly endeavor was neither to incite a new revolution nor to suggest a blueprint of any kind via aestheticizing action. I conclude the study with what Arendt meant by amor mundi (love of the world), or to be concerned for the world, and what we might learn from it.
On the generality of the LLM geometries in M-theory
Creators: name: Colgáin, Eoin Ó
name: Wu, Jun-Bao
name: Yavartanoo, Hossein
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this note we revisit the Lin, Lunin, Maldacena (LLM) class of d=11 supergravity solutions with symmetry SO(6) X SO(3) X R, but generalise to allow for all fluxes consistent with the isometries. Using the Killing spinor equation, we prove there are no supersymmetric geometries with additional fluxes beyond the LLM ansatz. In addition, the LLM relationship between Killing spinors, ε_- = - γ_5 ε_+, may be seen as a consequence of identifying two Killing directions identified through the Killing spinor equation corresponding to candidate R-symmetry directions.
description: 15 pages, v2. minor improvements
MPEC 2023-X193 : DAILY ORBIT UPDATE (2023 December 11)
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
title: Appropriation and Practices of Working with Voice Assistants in the Kitchen
Creators: name: Pins, Dominik
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: For our research, we focus on the kitchen as an important space at home that is not only used for cooking but also has a strong social role in the household (Johannes-Hornschuh, 2010). Many housekeeping tasks take place in the kitchen that can be supported by VAs, such as managing a shopping list or the (family) calendar or researching nutrition and food. These interactions are interesting to study in terms of their social and collaborative components. The kitchen offers many relevant tasks which are often rather complex and might require mixed- media approaches for successful support that might well exceed the capabilities of the VA technology in the current form (Moore, 2017). Better understanding where there are areas for innovation and what we can learn from the current practices of interaction to work around the current limitations is a further aim of our work.
title: La musicothérapie aux soins intensifs
title: la musique comme traitement de la douleur et de l’anxiété aux soins intensifs
titleType: Subtitle
title: La musicothérapie aux soins intensifs
titleType: AlternativeTitle
Creators: name: Ebacher, Laurence
name: Papaux, Sara
Publisher: name: Unknown
Year: 0
Subjects: subject: Musicothérapie
subject: Soins intensifs
subject: Soins infirmiers
subject: Douleur
subject: Anxiété

description: La douleur et l’anxiété ressenties par les patients sont omniprésentes dans les milieux de soins aigus. Plusieurs médicaments sont prescrits pour contrecarrer ces symptômes. Cependant ils peuvent amener plusieurs effets secondaires importants. Le rôle de l’infirmière est d’accompagner le patient afin qu’il puisse diminuer ces symptômes. La musicothérapie s'exécute sans ordonnance médicale et ne comporte que peu de risque pour le patient. Elle également peu coûteuse.
Actions and semi-direct products in categories of groups with action
Creators: name: Datuashvili, Tamar
name: Şahan, Tunçar
Publisher: name: arXiv
Year: 2021
Subjects: subject: Category Theory (math.CT)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 08A99, 08C05, 22F05

description: Derived actions in the category of groups with action on itself $\mathbf{Gr}^{\bullet}$ are defined and described. This category plays a crucial role in the solution of Loday's two problems stated in the literature. A full subcategory of reduced groups with action $\mathbf{rGr}^{\bullet}$ of $\mathbf{Gr}^{\bullet}$ is introduced, which is not a category of interest but has some properties, which can be applied in the investigation of action representability in this category; these properties are similar to those, which were used in the construction of universal strict general actors in the category of interest. Semi-direct product constructions are given in $\mathbf{Gr}^{\bullet}$ and $\mathbf{rGr}^{\bullet}$ and it is proved that an action is a derived action in $\mathbf{Gr}^{\bullet}$ (resp. $\mathbf{rGr}^{\bullet}$) if and only if the corresponding semi-direct product is and object of $\mathbf{Gr}^{\bullet}$ (resp. $\mathbf{rGr}^{\bullet}$). The results obtained in this paper will be applied in the forthcoming paper on the representability of actions in the category $\mathbf{rGr}^{\bullet}$.
description: 12 pages, research paper, LaTeX2e, xypic
A Design Thinking Framework for Circular Business Model Innovation
Creators: name: Guldmann, Eva
name: Bocken, Nancy M.P.
name: Brezet, Han
Publisher: name: Journal of Business Models
Year: 2019

description: Purpose


Circular business model innovation (CBMI) can support sustainable business transitions, but the process is poorly understood and there is a lack of tools to assist companies in the CBMI process. This paper works towards closing these gaps, by developing a framework for CBMI based on a design thinking approach, which can support the CBMI process in companies and induce organizational transformation towards more sustainable business.


Design


The CBMI framework was developed in connection with a multiple case study in which six companies created circular business models in collaboration with the researchers.


Findings


A design thinking process typically consists of three innovation phases: an exploratory, an ideation, and a prototyping and testing space. Yet, the developed framework advocates two additional spaces, namely an introductory and an alignment space. The results attained in the six case companies indicate that the developed framework is useful for CBMI in diverse organizational settings.


Practical implications


The study contributes with a framework to help practitioners facilitate and maneuver the challenging CBMI process. The framework provides guidelines to follow, and inspiration for CBMI-specific and general tools that could be adapted to a given organizational setting.


Value


The contribution of the paper is an empirically founded framework to assist CBMI. The paper also offers a conceptual overview of the CBMI process, and links CBMI to an organizational transformation towards the circular economy.
description: Journal of Business Models, Vol 7 No 1 (2019): Special Issue: Sustainable Value Creation through Business Models - Online first
title: Local turnpike analysis using local dissipativity for discrete time discounted optimal control
Creators: name: Grüne, Lars
name: Krügel, Lisa
Publisher: name: University of Bayreuth
Year: 2021
Subjects: subject: Discounted Optimal Control
subject: Dissipativity
subject: Turnpike
subject: 510
subject: 570

description: Recent results in the literature have provided connections between the so-called turnpike property, near optimality of closed-loop solutions, and strict dissipativity. Motivated by applications in economics, optimal control problems with discounted stage cost are of great interest. In contrast to non-discounted optimal control problems, it is more likely that several asymptotically stable optimal equilibria coexist. Due to the discounting and transition cost from a local to the global equilibrium, it may be more favourable staying in a local equilibrium than moving to the global - cheaper - equilibrium. In the literature, strict dissipativity was shown to provide criteria for global asymptotic stability of optimal equilibria and turnpike behavior. In this paper, we propose a local notion of discounted strict dissipativity and a local turnpike property, both depending on the discount factor. Using these concepts, we investigate the local behaviour of (near-)optimal trajectories and develop conditions on the discount factor to ensure convergence to a local asymptotically stable optimal equilibrium.
BMJ Roundtable on capacity to consent (for publication)
Creators: name: Ragavooloo, Simone
name: Chatfield, Cat
Publisher: name: figshare
Year: 2021
Subjects: subject: 220107 Professional Ethics (incl. police and research ethics)
subject: FOS: Philosophy, ethics and religion
subject: 220105 Legal Ethics
subject: 220106 Medical Ethics
subject: FOS: Health sciences

description: Obtaining consent from individuals for publication of their personal data is an integral legal and ethical step in the publication process. Where an individual is vulnerable or lacks the capacity to consent on their own behalf, there can be additional challenges for both authors and publishers. However, there is little guidance on best practice on this topic and the complexities involved in obtaining consent for these individuals can often lead to a higher rejection rate for research that involves vulnerable patient groups. To ensure our policies are both ethical and inclusive, BMJ held a roundtable discussion on capacity to consent to publication, where participants with expertise in patient consent policy, medical ethics, law and mental health fields were recruited to weigh in on key ethical questions that arise when obtaining consent for individuals who may lack capacity.
Technically natural dark energy from Lorentz breaking
Creators: name: Blas, D.
name: Sibiryakov, S.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We construct a model of dark energy with a technically natural small contribution to cosmic acceleration, i.e. this contribution does not receive corrections from other scales in the theory. The proposed acceleration mechanism appears generically in the low-energy limit of gravity theories with violation of Lorentz invariance that contain a derivatively coupled scalar field Theta. The latter may be the Goldstone field of a broken global symmetry. The model, that we call Theta-CDM, is a valid effective field theory up to a high cutoff just a few orders of magnitude below the Planck scale. Furthermore, it can be ultraviolet-completed in the context of Horava gravity. We discuss the observational predictions of the model. Even in the absence of a cosmological constant term, the expansion history of the Universe is essentially indistinguishable from that of Lambda-CDM. The difference between the two theories appears at the level of cosmological perturbations. We find that in Theta-CDM the matter power spectrum is enhanced at subhorizon scales compared to Lambda-CDM. This property can be used to discriminate the model from Lambda-CDM with current cosmological data.
description: A few equations in the Appendix corrected
Rapid thermalization of spin chain commuting Hamiltonians
Creators: name: Bardet, Ivan
name: Capel, Ángela
name: Gao, Li
name: Lucia, Angelo
name: Pérez-García, David
name: Rouzé, Cambyse
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We prove that spin chains weakly coupled to a large heat bath thermalize rapidly at any temperature for finite-range, translation-invariant commuting Hamiltonians, reaching equilibrium in a time which scales logarithmically with the system size. Our main result is a generalization to the quantum setting of a seminal result of Holley and Stroock for classical spin chains and represents an exponential improvement over bounds based on the non-closure of the spectral gap. From a physical point of view, our result rigorously establishes the absence of dissipative phase transition for Davies evolutions over translation-invariant spin chains. The result also applies in the case of Symmetry Protected Topological phases where the evolution is respecting the symmetry of the phase. This has wide-ranging applications to the study of many-body in and out-of-equilibrium quantum systems.
description: 5 pages + 3 pages, 3 figures
Laboratório de Alimentos e Bebidas: Carne de Aves
Creators: name: De Lemos, Vanessa Maria Braga
name: De Souza Lima, Adriana
Publisher: name: Zenodo
Year: 2022
Subjects: laboratório de alimentos e bebidas
food service
restaurante
hotelaria
aves

description: Esta apresentação em slide foi realizada pela monitora Vanessa Maria Braga de Lemos e sua orientadora Adriana de Souza Lima, para a aula de Carnes de Aves apresentada na matéria de Laboratório de Alimentos e Bebidas (A&B), do Curso Superior de Tecnologia em Hotelaria da Universidade Federal Fluminense (UFF)
Equivalent Fixed-Points in the Effective Average Action Formalism
Creators: name: Rosten, Oliver J.
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Starting from a modified version of Polchinski's equation, Morris' fixed-point equation for the effective average action is derived. Since an expression for the line of equivalent fixed-points associated with every critical fixed-point is known in the former case, this link allows us to find, for the first time, the analogous expression in the latter case.
description: 30 pages; v2: 29 pages - major improvements to section 3; v3: published in J. Phys. A - minor changes
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
Creators: name: Prezja, Fabi
name: Annala, Leevi
name: Kiiskinen, Sampsa
name: Lahtinen, Suvi
name: Ojala, Timo
name: Ruusuvuori, Pekka
name: Kuopio, Teijo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: In routine colorectal cancer management, histologic samples stained with hematoxylin and eosin are commonly used. Nonetheless, their potential for defining objective biomarkers for patient stratification and treatment selection is still being explored. The current gold standard relies on expensive and time-consuming genetic tests. However, recent research highlights the potential of convolutional neural networks (CNNs) in facilitating the extraction of clinically relevant biomarkers from these readily available images. These CNN-based biomarkers can predict patient outcomes comparably to golden standards, with the added advantages of speed, automation, and minimal cost. The predictive potential of CNN-based biomarkers fundamentally relies on the ability of convolutional neural networks (CNNs) to classify diverse tissue types from whole slide microscope images accurately. Consequently, enhancing the accuracy of tissue class decomposition is critical to amplifying the prognostic potential of imaging-based biomarkers. This study introduces a hybrid Deep and ensemble machine learning model that surpassed all preceding solutions for this classification task. Our model achieved 96.74% accuracy on the external test set and 99.89% on the internal test set. Recognizing the potential of these models in advancing the task, we have made them publicly available for further research and development.
description: 34 pages, 9 figures
Additional file 1 of Frailty index and its association with the onset of postoperative delirium in older adults undergoing elective surgery
Creators: name: Steenblock, Janina
name: Braisch, Ulrike
name: Brefka, Simone
name: Thomas, Christine
name: Eschweiler, Gerhard W.
name: Rapp, Michael
name: Metz, Brigitte
name: Maurer, Christoph
name: von Arnim, Christine A. F.
name: Herrmann, Matthias. L.
name: Wagner, Sören
name: Denkinger, Michael
name: Dallmeier, Dhayana
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy
subject: Mental Health

description: Additional file 1.
Signatures of topological phase transition on a quantum critical line
Creators: name: Kumar, Ranjith R
name: Roy, Nilanjan
name: Kartik, Y R
name: Rahul, S
name: Sarkar, Sujit
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Recently topological states of matter have witnessed a new physical phenomenon where both edge modes and gapless bulk coexist at topological quantum criticality. The presence and absence of edge modes on a critical line can lead to an unusual class of topological phase transition between the topological and non-topological critical phases. We explore the existence of this new class of topological phase transitions in a generic model representing the topological insulators and superconductors and we show that such transition occurs at a multicritical point i.e. at the intersection of two critical lines. To characterize these transitions we reconstruct the theoretical frameworks which include bound state solution of the Dirac equation, winding number, correlation factors and scaling theory of the curvature function to work for the criticality. Critical exponents and scaling laws are discussed to distinguish between the multicritical points which separate the critical phases. Entanglement entropy and its scaling in the real-space provide further insights into the unique transition at criticality revealing the interplay between fixed point and critical point at the multicriticalities.
description: 15 pages including appendices; Published version
Additional file 1 of Oral health issues of young adults with severe intellectual and developmental disabilities and caregiver burdens: a qualitative study
Creators: name: Lee, Jihyun
name: Chang, Juhea
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. Questionnaires used in the study.
Dilated convolution with learnable spacings
Creators: name: Khalfaoui-Hassani, Ismail
name: Pellegrini, Thomas
name: Masquelier, Timothée
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Recent works indicate that convolutional neural networks (CNN) need large receptive fields (RF) to compete with visual transformers and their attention mechanism. In CNNs, RFs can simply be enlarged by increasing the convolution kernel sizes. Yet the number of trainable parameters, which scales quadratically with the kernel's size in the 2D case, rapidly becomes prohibitive, and the training is notoriously difficult. This paper presents a new method to increase the RF size without increasing the number of parameters. The dilated convolution (DC) has already been proposed for the same purpose. DC can be seen as a convolution with a kernel that contains only a few non-zero elements placed on a regular grid. Here we present a new version of the DC in which the spacings between the non-zero elements, or equivalently their positions, are no longer fixed but learnable via backpropagation thanks to an interpolation technique. We call this method "Dilated Convolution with Learnable Spacings" (DCLS) and generalize it to the n-dimensional convolution case. However, our main focus here will be on the 2D case. We first tried our approach on ResNet50: we drop-in replaced the standard convolutions with DCLS ones, which increased the accuracy of ImageNet1k classification at iso-parameters, but at the expense of the throughput. Next, we used the recent ConvNeXt state-of-the-art convolutional architecture and drop-in replaced the depthwise convolutions with DCLS ones. This not only increased the accuracy of ImageNet1k classification but also of typical downstream and robustness tasks, again at iso-parameters but this time with negligible cost on throughput, as ConvNeXt uses separable convolutions. Conversely, classic DC led to poor performance with both ResNet50 and ConvNeXt. The code of the method is available at: https://github.com/K-H-Ismail/Dilated-Convolution-with-Learnable-Spacings-PyTorch.
description: Published in The Eleventh International Conference on Learning Representations (ICLR) 2023. (https://openreview.net/forum?id=Q3-1vRh3HOA)