cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Laboratório de Alimentos e Bebidas: Pescados & Mariscos
Creators: name: De Lemos, Vanessa Maria Braga
name: De Souza Lima, Adriana
Publisher: name: Zenodo
Year: 2022
Subjects: restaurante
food service
marisco
pescado
laboratório de alimentos e bebidas
hotelaria

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 Pescados & Mariscos apresentada na matéria de Laboratório de Alimentos e Bebidas (A&B), do Curso Superior de Tecnologia em Hotelaria da Universidade Federal Fluminense (UFF)
$\mathbb Q\setminus\mathbb Z$ is diophantine over $\mathbb Q$ with 32 unknowns
Creators: name: Zhang, Geng-Rui
name: Sun, Zhi-Wei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 03D35, 11U05, 03D25, 11D99, 11S99

description: In 2016 J. Koenigsmann refined a celebrated theorem of J. Robinson by proving that $\mathbb Q\setminus\mathbb Z$ is diophantine over $\mathbb Q$, i.e., there is a polynomial $P(t,x_1,\ldots,x_{n})\in\mathbb Z[t,x_1,\ldots,x_{n}]$ such that for any rational number $t$ we have $$t\not\in\mathbb Z\iff \exists x_1\cdots\exists x_{n}[P(t,x_1,\ldots,x_{n})=0]$$ where variables range over $\mathbb Q$, equivalently $$t\in\mathbb Z\iff \forall x_1\cdots\forall x_{n}[P(t,x_1,\ldots,x_{n})\not=0].$$ In this paper we prove that we may take $n=32$. Combining this with a result of Z.-W. Sun, we show that there is no algorithm to decide for any $f(x_1,\ldots,x_{41})\in\mathbb Z[x_1,\ldots,x_{41}]$ whether $$\forall x_1\cdots\forall x_9\exists y_1\cdots\exists y_{32}[f(x_1,\ldots,x_9,y_1,\ldots,y_{32})=0],$$ where variables range over $\mathbb Q$.
description: 13 pages
Additional file 3 of Dementia and psychotropic medications are associated with significantly higher mortality in geriatric patients hospitalized with COVID-19: data from the StockholmGeroCovid project
Creators: name: Secnik, Juraj
name: Eriksdotter, Maria
name: Xu, Hong
name: Annetorp, Martin
name: Rytarowski, Aleksander
name: Johnell, Kristina
name: Hägg, Sara
name: Religa, Dorota
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Computational Biology

description: Additional file 3: Supplementary Table 2. Mortality rates and mortality rate ratios in COVID-19 patients with and without dementia. Mortality rate reflects the total deaths that occurred during the follow-up – during the first hospitalization and after discharge; COVID-19 waves were divided based on dates - August 31st, 2020 (first and second wave) and February 28th, 2021 (second and third wave).
title: « Bon retour ! On fait comme on a dit… ! »
title: ou comment améliorer les informations de sorties délivrées au patient dans le contexte des urgences
titleType: Subtitle
title: « Bon retour ! On fait comme on a dit… ! »
titleType: AlternativeTitle
Creators: name: Caron, Valérie
name: Geffray, Matthieu
Publisher: name: Unknown
Year: 0
Subjects: subject: Communication
subject: Soins infirmiers
subject: Urgences

description: À la fin d’une consultation aux urgences, les informations qui sont transmises ont une importance majeure, notamment pour la suite de la prise en soins une fois de retour au domicile. Lorsqu’elles ne sont pas bien comprises ou retenues, un manque d’adhésion thérapeutique, des reconsultations, une augmentation des coûts et une insatisfaction des patients peuvent parfois en découler (Chung, Haller, Sustersic, & Sommer, 2019).
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection
Creators: name: Sarhan, Mohanad
name: Layeghy, Siamak
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Machine Learning (ML)-based network intrusion detection systems bring many benefits for enhancing the cybersecurity posture of an organisation. Many systems have been designed and developed in the research community, often achieving a close to perfect detection rate when evaluated using synthetic datasets. However, the high number of academic research has not often translated into practical deployments. There are several causes contributing towards the wide gap between research and production, such as the limited ability of comprehensive evaluation of ML models and lack of understanding of internal ML operations. This paper tightens the gap by evaluating the generalisability of a common feature set to different network environments and attack scenarios. Therefore, two feature sets (NetFlow and CICFlowMeter) have been evaluated in terms of detection accuracy across three key datasets, i.e., CSE-CIC-IDS2018, BoT-IoT, and ToN-IoT. The results show the superiority of the NetFlow feature set in enhancing the ML models detection accuracy of various network attacks. In addition, due to the complexity of the learning models, SHapley Additive exPlanations (SHAP), an explainable AI methodology, has been adopted to explain and interpret the classification decisions of ML models. The Shapley values of two common feature sets have been analysed across multiple datasets to determine the influence contributed by each feature towards the final ML prediction.
description: 11 pages, 7 figures
On links with locally infinite {K}akimizu complexes
Creators: name: Banks, Jessica E.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57M25

description: We show that the Kakimizu complex of a knot may be locally infinite, answering a question of Przytycki--Schultens. We then prove that if a link $L$ only has connected Seifert surfaces and has a locally infinite Kakimizu complex then $L$ is a satellite of either a torus knot, a cable knot or a connected sum, with winding number 0.
description: 9 pages, 5 figures; v2 minor has minor changes incorporating referee's comments. To appear in Algebraic & Geometric Topology
Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
Creators: name: Letcher, Alistair
name: Woerner, Stefan
name: Zoufal, Christa
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The training of a parameterized model largely depends on the landscape of the underlying loss function. In particular, vanishing gradients are a central bottleneck in the scalability of variational quantum algorithms (VQAs), and are known to arise in various ways. However, a caveat of most existing gradient bound results is the requirement of t-design circuit assumptions that are typically not satisfied in practice. In this work, we loosen these assumptions altogether and derive tight upper and lower bounds on loss and gradient concentration for a large class of parameterized quantum circuits and arbitrary observables, which are significantly stronger than prior work. Moreover, we show that these bounds, as well as the variance of the loss itself, can be estimated efficiently and classically-providing practical tools to study the loss landscapes of VQA models, including verifying whether or not a circuit/observable induces barren plateaus. In particular, our results can readily be leveraged to rule out barren plateaus for a realistic class of ansätze and mixed observables, namely, observables containing a non-vanishing local term. This insight has direct implications for hybrid Quantum Generative Adversarial Networks (qGANs). We prove that designing the discriminator appropriately leads to 1-local weights that stay constant in the number of qubits, regardless of discriminator depth. This implies that qGANs with appropriately chosen generators do not suffer from barren plateaus even at scale-making them a promising candidate for applications in generative quantum machine learning. We demonstrate this result by training a qGAN to learn a 2D mixture of Gaussian distributions with up to 16 qubits, and provide numerical evidence that global contributions to the gradient, while initially exponentially small, may kick in substantially over the course of training.
title: Comment améliorer la qualité de la communication avec les familles aux soins intensifs pédiatriques
title: Comment améliorer la qualité de la communication avec les familles aux soins intensifs pédiatriques
titleType: AlternativeTitle
Creators: name: Guelpa, Floriane
name: Morier-Genoud, Adrienne
Publisher: name: Unknown
Year: 0
Subjects: subject: Relation infirmière-famille
subject: Communication
subject: Soins intensifs pédiatriques

description: La communication lors de l’hospitalisation d’un enfant aux soins intensifs soit dans un secteur aigu, stressant et technique n’est jamais aisée. Les émotions diverses, la peur de la mort, la fatigue peuvent facilement rendre périlleux les interactions entre parents et soignants. Ce travail explore les améliorations possibles pour les infirmières lors de communications avec les familles dans le secteur des soins intensifs de pédiatrie.
Micro-level network dynamics of scientific collaboration and impact: relational hyperevent models for the analysis of coauthor networks
Creators: name: Lerner, Jürgen
name: Hâncean, Marian-Gabriel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: We discuss a recently proposed family of statistical network models - relational hyperevent models (RHEM) - for analyzing team selection and team performance in scientific coauthor networks. The underlying rationale for using RHEM in studies of coauthor networks is that scientific collaboration is intrinsically polyadic, that is, it typically involves teams of any size. Consequently, RHEM specify publication rates associated with hyperedges representing groups of scientists of any size. Going beyond previous work on RHEM for meeting data, we adapt this model family to settings in which relational hyperevents have a dedicated outcome, such as a scientific paper with a measurable impact (e.g., the received number of citations). Relational outcome can on the one hand be used to specify additional explanatory variables in RHEM since the probability of coauthoring may be influenced, for instance, by prior (shared) success of scientists. On the other hand relational outcome can also serve as a response variable in models seeking to explain the performance of scientific teams. To tackle the latter we propose relational hyperevent outcome models (RHOM) that are closely related with RHEM to the point that both model families can specify the likelihood of scientific collaboration - and the expected performance, respectively - with the same set of explanatory variables allowing to assess, for instance, whether variables leading to increased collaboration also tend to increase scientific impact. For illustration, we apply RHEM to empirical coauthor networks comprising more than 350,000 published papers by scientists working in three scientific disciplines.
Plebanśki-Demiański à la Ehlers-Harrison: Exact Rotating and Accelerating Type I Black Holes
Creators: name: Barrientos, José
name: Cisterna, Adolfo
name: Pallikaris, Konstantinos
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Recently, it was shown that type D black holes, encompassed in the large Plebanśki--Demiański (PD) family, exhibit a wide class of algebraically general generalizations via the application of Ehlers and Harrison transformations. In this work, we first discuss some mathematical details behind the composition of such transformations, and next, we introduce a qualitative picture of the most general type I generalization of the PD family, dubbed ``Enhanced Plebanśki--Demiański'' spacetime. We provide the exact form of the solution in the original PD coordinates, obtained via the simultaneous action of an Ehlers and a Harrison transformation on the vacuum PD geometry. In order to make the physics more transparent, we explicitly construct a rotating and accelerating black hole which further has NUT parameter and electric charges, both of them entering, not only the event horizon, but the Rindler horizon as well. This solution is directly obtained in the ``physical'' coordinates recently proposed by Podolský and Vrátny. Finally, a pedagogical appendix is thoughtfully included, providing readers with a user-friendly step-by-step guide to the Ernst formalism, in an attempt to address and resolve various minor inconsistencies frequently appearing in the relevant literature.
description: V3 matches published version in Gen Relativ Gravit (accepted on September 16)
Validated Intraclass Correlation Statistics to Test Item Performance Models
Creators: name: Courrieu, Pierre
name: Brand-D'Abrescia, Muriele
name: Peereman, Ronald
name: Spieler, Daniel
name: Rey, Arnaud
Publisher: name: arXiv
Year: 2010
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: A new method, with an application program in Matlab code, is proposed for testing item performance models on empirical databases. This method uses data intraclass correlation statistics as expected correlations to which one compares simple functions of correlations between model predictions and observed item performance. The method rests on a data population model whose validity for the considered data is suitably tested, and has been verified for three behavioural measure databases. Contrarily to usual model selection criteria, this method provides an effective way of testing under-fitting and over-fitting, answering the usually neglected question "does this model suitably account for these data?"
title: Social Augmentation od Enterprise Communication Systems for Virtual Teams Using Chatbots
Creators: name: Benke, Ivo
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: Innovative collaborative applications like Slack or Microsoft Teams have become an integral part of the working environment. The communication in teams, especially at work, is aggravated by socio-technical challenges which prohibit teams from reaching their optimal performance. This research addresses these problems and designs an enterprise communication system to actively support team interaction in order to increase team performance. Through social augmentation of the communication processes with chatbots this is achieved, leveraging cognitive-affective user states. First results of the system prototype evaluation are promising, showing an improvement of team cohesion and communication effectiveness induced through the design. Serving as indication, future steps are outlined guiding the research path for social augmentation of team communication.
Epidemiological and clinical aspects of uveal melanoma in west Algeria
Creators: name: AJHS
Publisher: name: Zenodo
Year: 2023

description: Introduction: Uveal melanoma (UM) is a rare cancer whose prognosis remains poor despite considerable advances in early diagnosis and quality of care achieved in developed countries. However, its annual incidence has been steadily increasing over the past twenty years. We diagnose 2 to 3 cases of uveal melanoma per year. In the Algerian context, we have identified elements that seem to justify our study, in particular a lack of information on its epidemiology, and real difficulties in its management.
Materials and methods: Our work was carried out with sixty-three cases of uveal melanoma, collected over a period of eighteen years (2001-2018) through a descriptive study with prospective collection, carried out in a referral center in western Algeria, including two specialized ophthalmology departments. 
Results: The average age at diagnosis was 53.7 ± 3.4 years, with a slight female predominance, sex ratio = 0.9, 79.3% of patients had fair skin, the average time to diagnosis was 12, 3 weeks with extremes [7.7-16.9], the equatorial location was the most frequent with a rate of 55.5%. The largest tumor diameter was >10mm in 62% of patients, with an average of 11.2mm with extremes [4.0-18.3], the thickness was > 5mm in 81% of patients with an average of 8mm with extremes [1.61-16.8]. Secondary retinal detachment was found in 68% of patients on Optical Coherence Tomography. The neoformation was pigmented in 87.3%, achromic in 9.5%, and heterogeneous in 3.2%. The neoformation was dome-shaped in 46% of patients, rounded in 39.7%, mushroom in 11, 1%, shirt button in 1.6%, the shape was annular in only one case. 
Conclusion: Our results indicate that our patients are affected at a younger age, in comparison with the European and North American populations, among the main characteristics of the neoformations, a greater thickness and a smaller diameter, with a high proportion of rupture of the Bruch blade.
title: Academic Library Managers’ Use of Artefacts in their Everyday Cooperative Work Practices
Creators: name: Chatzipanagiotou, Niki
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: This interpretive focused-ethnographic study was conducted to illuminate and gain deeper understanding on managers’ everyday cooperative work practices using artefacts. In the dissertation, artefacts refer to digital technologies and information. The doctoral research specifically examines how artefacts in the workplace of an academic library are used in academic library managers’ everyday cooperative work practices; and provide suggestions of how artefacts can be used to better fit those practices. The empirical data was collected through participant observations, face-to-face interviews and documents from two technologically advanced academic libraries, one in Sweden and another one in Australia. The study uses soft systems thinking theory and concepts from computer-supported cooperative work (CSCW) such as awareness, articulation and appropriation to analyze and discuss how cooperative work is conducted in the everyday work practices of academic library managers with the use of artefacts. Thus, this research contributes insights from the field of computer-supported cooperative work to the information systems and library domain by considering social aspects of cooperative everyday work practices.
Influence of agent's self-disclosure on human empathy
Creators: name: Tsumura, Takahiro
name: Yamada, Seiji
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: As AI technologies progress, social acceptance of AI agents, including intelligent virtual agents and robots, is becoming even more important for more applications of AI in human society. One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. By empathizing, humans act positively and kindly toward agents, which makes it easier for them to accept the agents. In this study, we focus on self-disclosure from agents to humans in order to increase empathy felt by humans toward anthropomorphic agents. We experimentally investigate the possibility that self-disclosure from an agent facilitates human empathy. We formulate hypotheses and experimentally analyze and discuss the conditions in which humans have more empathy toward agents. Experiments were conducted with a three-way mixed plan, and the factors were the agents' appearance (human, robot), self-disclosure (high-relevance self-disclosure, low-relevance self-disclosure, no self-disclosure), and empathy before/after a video stimulus. An analysis of variance (ANOVA) was performed using data from 918 participants. We found that the appearance factor did not have a main effect, and self-disclosure that was highly relevant to the scenario used facilitated more human empathy with a statistically significant difference. We also found that no self-disclosure suppressed empathy.These results support our hypotheses. This study reveals that self-disclosure represents an important characteristic of anthropomorphic agents which helps humans to accept them.
description: 24 pages, 9 figures, 3 tables, submitted to PLOS ONE Journal
An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Creators: name: Zanoli, Silvio
name: Ponzina, Flavio
name: Teijeiro, Tomás
name: Levisse, Alexandre
name: Atienza, David
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Event-based sensors have the potential to optimize energy consumption at every stage in the signal processing pipeline, including data acquisition, transmission, processing and storage. However, almost all state-of-the-art systems are still built upon the classical Nyquist-based periodic signal acquisition. In this work, we design and validate the Polygonal Approximation Sampler (PAS), a novel circuit to implement a general-purpose event-based sampler using a polygonal approximation algorithm as the underlying sampling trigger. The circuit can be dynamically reconfigured to produce a coarse or a detailed reconstruction of the analog input, by adjusting the error threshold of the approximation. The proposed circuit is designed at the Register Transfer Level and processes each input sample received from the ADC in a single clock cycle. The PAS has been tested with three different types of archetypal signals captured by wearable devices (electrocardiogram, accelerometer and respiration data) and compared with a standard periodic ADC. These tests show that single-channel signals, with slow variations and constant segments (like the used single-lead ECG and the respiration signals) take great advantage from the used sampling technique, reducing the amount of data used up to 99% without significant performance degradation. At the same time, multi-channel signals (like the six-dimensional accelerometer signal) can still benefit from the designed circuit, achieving a reduction factor up to 80% with minor performance degradation. These results open the door to new types of wearable sensors with reduced size and higher battery lifetime.
Properties of the Environment of Galaxies in Clusters of Galaxies CL 0024+1654 and RX J0152.7-1357
Creators: name: Premadi, Premana W.
name: Nugroho, Dading H.
name: Jaelani, Anton T.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We report the results of combined analyses of X-ray and optical data of two galaxy clusters, CL 0024$+$1654 and RX J0152.7$-$1357 at redshift $z = 0.395$ and $z = 0.830$, respectively, which offer a holistic physical description of the two clusters. Our X-ray analysis yields temperature and density profile of the gas in the intra-cluster medium (ICM). Using optical photometric and spectroscopic data, complemented with mass distribution from gravitational lensing study, we investigate any possible correlation between the physical properties of the galaxy members, i.e., their color, morphology, and star formation rate (SFR) with their environments. We quantify the properties of the environment of each galaxy by galaxy number density, ICM temperature, and mass density. Although our result shows that the two clusters exhibit a weaker correlation compared to relaxed clusters, it still confirms the significant effect of the ICM on the SFRs in the galaxies. The closer relation between galaxy physical property and the condition of its immediate environment found in this work indicates the locality of galaxy evolution, even within a larger bound system such as cluster. Various physical mechanisms are suggested to explain the relation between the properties of galaxies and their environment.
description: 24 pages, 10 figures, 4 tables, accepted for publication in J. Math. Fund. Sci
title: Using Software Agents to Raise Awareness and Lower Information Overload in a Multi-user Collaborative Environment
Creators: name: Goddard, David
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: Ubiquitous devices provide users with notifications that continue to blur the distinction between work and personal activities and can lead to information overload. This research aims to support users of multiple collaborative and social systems who may experience this, by designing and evaluating a personal software agent to support the user and ameliorate the effects of overload. A technique uniting personas and Empathy Map has been applied to model typical user behaviours, goals and pain points, which will inform the design of a solution to manage interruptions and information overload.
Thickness-independent transport channels in topological insulator Bi2Se3 thin films
Creators: name: Bansal, Namrata
name: Kim, Yong Seung
name: Brahlek, Matthew
name: Edrey, Eliav
name: Oh, Seongshik
Publisher: name: arXiv
Year: 2011
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: With high quality topological insulator (TI) Bi2Se3 thin films, we report thickness-independent transport properties over wide thickness ranges. Conductance remained nominally constant as the sample thickness changed from 256 to ~8 QL (QL: quintuple layer, 1 QL = ~1 nm). Two surface channels of very different behaviors were identified. The sheet carrier density of one channel remained constant at ~3.0 x 10^13 cm^-2 down to 2 QL, while the other, which exhibited quantum oscillations, remained constant at ~8 x 10^12 cm^-2 only down to ~8 QL. The weak antilocalization parameters also exhibited similar thickness-independence. These two channels are most consistent with the topological surface states and the surface accumulation layers, respectively.
description: To appear in Phys. Rev. Lett
India’s response to COVID-19 and Migration Challenges
Creators: name: Mohd Salman Kavish
Publisher: name: figshare
Year: 2021
Subjects: subject: 160303 Migration
subject: FOS: Sociology

description: With the unexpected onset of COVID-19 while the world was trying to safeguard and address the socio-economic impact of the pandemic, India was struggling with another unfortunate issue of reverse migration. In India, ninety per cent of the workers are employed in the unorganized sector. The outbreak of COVID-19 forced migrant workers to shift from urban areas to their native places. With the declaration of the lockdown, millions of these workers were left unemployed and with no savings. This article is an attempt to analyze the reverse migration issue that occurred because of COVID crisis and its impact on migrant laborers that also led to the loss of livelihood of these migrants. The article also emphasizes India’s response to COVID-19, how did India respond to the situation prior to lockdown, and how did Central and State Government respond to challenges faced by the migrant laborers.
Directional Texture Editing for 3D Models
Creators: name: Liu, Shengqi
name: Chen, Zhuo
name: Gao, Jingnan
name: Yan, Yichao
name: Zhu, Wenhan
name: Lyu, Jiangjing
name: Yang, Xiaokang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Texture editing is a crucial task in 3D modeling that allows users to automatically manipulate the surface materials of 3D models. However, the inherent complexity of 3D models and the ambiguous text description lead to the challenge in this task. To address this challenge, we propose ITEM3D, a \textbf{T}exture \textbf{E}diting \textbf{M}odel designed for automatic \textbf{3D} object editing according to the text \textbf{I}nstructions. Leveraging the diffusion models and the differentiable rendering, ITEM3D takes the rendered images as the bridge of text and 3D representation, and further optimizes the disentangled texture and environment map. Previous methods adopted the absolute editing direction namely score distillation sampling (SDS) as the optimization objective, which unfortunately results in the noisy appearance and text inconsistency. To solve the problem caused by the ambiguous text, we introduce a relative editing direction, an optimization objective defined by the noise difference between the source and target texts, to release the semantic ambiguity between the texts and images. Additionally, we gradually adjust the direction during optimization to further address the unexpected deviation in the texture domain. Qualitative and quantitative experiments show that our ITEM3D outperforms the state-of-the-art methods on various 3D objects. We also perform text-guided relighting to show explicit control over lighting. Our project page: https://shengqiliu1.github.io/ITEM3D.
description: project page: https://shengqiliu1.github.io/ITEM3D
title: Understanding and Supporting Collaborative Academic Writing as a Fragmented Process
Creators: name: Larsen-Ledet, Ida
Publisher: name: European Society for Socially Embedded Technologies (EUSSET)
Year: 2019

description: I present an overview of findings from a qualitative study regarding territorial functioning and fragmentation in collaborative academic writing. The findings demonstrate how collaborative writing may be characterized as a fragmented process, due to territorial functioning manifesting in segregation of the work as well as fragmentation across constellations of tools with similar functionality. I describe co-writers' appropriation of existing tools to achieve double-level language and outline a focus for future design efforts for a co-design process.
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Creators: name: Qi, Jiaju
name: Zhou, Qihao
name: Lei, Lei
name: Zheng, Kan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: This paper presents a comprehensive survey of Federated Reinforcement Learning (FRL), an emerging and promising field in Reinforcement Learning (RL). Starting with a tutorial of Federated Learning (FL) and RL, we then focus on the introduction of FRL as a new method with great potential by leveraging the basic idea of FL to improve the performance of RL while preserving data-privacy. According to the distribution characteristics of the agents in the framework, FRL algorithms can be divided into two categories, i.e. Horizontal Federated Reinforcement Learning (HFRL) and Vertical Federated Reinforcement Learning (VFRL). We provide the detailed definitions of each category by formulas, investigate the evolution of FRL from a technical perspective, and highlight its advantages over previous RL algorithms. In addition, the existing works on FRL are summarized by application fields, including edge computing, communication, control optimization, and attack detection. Finally, we describe and discuss several key research directions that are crucial to solving the open problems within FRL.
Coffee Lecture Universitätsbibliothek, Sommersemester 2019 (Gast: Dr. Jörg Diederich).
Creators: name: Strauch, Annette
Publisher: name: Zenodo
Year: 2019

description: Ein nachhaltiges, vertrauenswürdiges Forschungsdatenmanagement schließt immer auch die Langzeitarchivierung von Forschungsdaten aller Art mit ein. Dabei gibt es Fragen nach einem institutionellen Repositorium oder zu bereits vorhandenenen externen Datenrepositorien, wo auf bereits bestehende Lösungen zurückgegriffen werden kann. Dem Rechenzentrum als universitärer Infrastrukturpartner der Bibliothek stellen sich spannende und wichtige Herausforderungen mögliche nachhaltige Infrastrukturen, neben den Basisdiensten wie Speicherung und "Back-ups", anzubieten. Diese technischen Infrastrukturen sollten sich an einem offenen Architekturmodell mit möglichst standardisierten Schnittstellen orientieren. Nachhaltige, sichere Arbeitsplattformen für verfügbar gehaltene Forschungsdaten müssen entwickelt werden. Die Sicherstellung von deren kontrollierter Nachnutzung für Forschungsprojekte muss gewährleistet sein ebenso wie die Verfügbarmachung in diversen übergreifenden Archivierungs- und Publikationskontexten.
Axially and spherically symmetric solitons in warm plasma
Creators: name: Dvornikov, Maxim
Publisher: name: arXiv
Year: 2010
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: We study the existence of stable axially and spherically symmetric plasma structures on the basis of the new nonlinear Schrodinger equation (NLSE) accounting for nonlocal electron nonlinearities. The numerical solutions of NLSE having the form of spatial solitions are obtained and their stability is analyzed. We discuss the possible application of the obtained results to the theoretical description of natural plasmoids in the atmosphere.
description: 10 pages, two columns, 5 eps figures, RevTeX 4.1; several new references are added and some typos are corrected; a variant to be published in Journal of Plasma Physics
Convergence Rates for Learning Linear Operators from Noisy Data
Creators: name: de Hoop, Maarten V.
name: Kovachki, Nikola B.
name: Nelsen, Nicholas H.
name: Stuart, Andrew M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistics Theory (math.ST)
subject: Machine Learning (cs.LG)
subject: Methodology (stat.ME)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 62G20, 62C10, 68T05, 47A62

description: This paper studies the learning of linear operators between infinite-dimensional Hilbert spaces. The training data comprises pairs of random input vectors in a Hilbert space and their noisy images under an unknown self-adjoint linear operator. Assuming that the operator is diagonalizable in a known basis, this work solves the equivalent inverse problem of estimating the operator's eigenvalues given the data. Adopting a Bayesian approach, the theoretical analysis establishes posterior contraction rates in the infinite data limit with Gaussian priors that are not directly linked to the forward map of the inverse problem. The main results also include learning-theoretic generalization error guarantees for a wide range of distribution shifts. These convergence rates quantify the effects of data smoothness and true eigenvalue decay or growth, for compact or unbounded operators, respectively, on sample complexity. Numerical evidence supports the theory in diagonal and non-diagonal settings.
description: To appear in SIAM/ASA Journal on Uncertainty Quantification (JUQ); 34 pages, 5 figures, 2 tables
Percolation-induced PT symmetry breaking
Creators: name: Yang, Mengjie
name: Lee, Ching Hua
Publisher: name: arXiv
Year: 2023
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a new avenue in which percolation, which has been much associated with critical phase transitions, can also dictate the asymptotic dynamics of non-Hermitian systems by breaking PT symmetry. Central to it is our newly-designed mechanism of topologically guided gain, where chiral edge wavepackets in a topological system experience non-Hermitian gain or loss based on how they are topologically steered. For sufficiently wide topological islands, this leads to irreversible growth due to positive feedback from interlayer tunneling. As such, a percolation transition that merges small topological islands into larger ones also drives the edge spectrum across a real to complex transition. Our discovery showcases intriguing dynamical consequences from the triple interplay of chiral topology, directed gain and interlayer tunneling, and suggests new routes for the topology to be harnessed in the control of feedback systems.
description: 5 pages with 3 figures in the main text. 19 pages in the Supplemental Material. Comments are welcome
Additional file 2 of Dementia and psychotropic medications are associated with significantly higher mortality in geriatric patients hospitalized with COVID-19: data from the StockholmGeroCovid project
Creators: name: Secnik, Juraj
name: Eriksdotter, Maria
name: Xu, Hong
name: Annetorp, Martin
name: Rytarowski, Aleksander
name: Johnell, Kristina
name: Hägg, Sara
name: Religa, Dorota
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mental Health
subject: Computational Biology

description: Additional file 2: Supplementary Table 1. Baseline differences among the survivors and deceased during the whole follow-up. CCI, Charlson Comorbidity Index; RAAS, renin-angiotensin-aldosterone system; Age at admission is described as mean (SD); Other variables are described as n (%); SpO2 refers to the first oxygen saturation recorded during hospitalization; Attained comorbidities were recorded at admission and medication use was recorded at admission or at admission + 1 day; COVID-19 waves were divided based on dates - August 31st, 2020 (first and second wave) and February 28th, 2021 (second and third wave). Comparisons for scale variables across the dementia strata were performed using the independent-samples t-test (age at admission), and Mann-Whitney U-test (hospitalization duration). Chi-square test was used in all other descriptive analyses.
Opportunities and limits of lunar gravitational-wave detection
Creators: name: Cozzumbo, Andrea
name: Mestichelli, Benedetta
name: Mirabile, Marco
name: Paiella, Lavinia
name: Tissino, Jacopo
name: Harms, Jan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: A new era of lunar exploration has begun with participation of all major space agencies. This activity brings opportunities for revolutionary science experiments and observatories on the Moon. The idea of a lunar gravitational-wave detector was already proposed during the Apollo program. The key characteristic of the Moon is that it is seismically extremely quiet. It was also pointed out that the permanently shadowed regions at the lunar poles provide ideal conditions for gravitational-wave detection. In recent years, three different detector concepts were proposed with varying levels of technological complexity and science potential. In this paper, we confront the three concepts in terms of their observational capabilities based on a first more detailed modeling of instrumental noise. We identify important technological challenges and potential show-stoppers.
A critical view on transport and entanglement in models of photosynthesis
Creators: name: Tiersch, Markus
name: Popescu, Sandu
name: Briegel, Hans J.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We revisit critically the recent claims, inspired by quantum optics and quantum information, that there is entanglement in the biological pigment protein complexes, and that it is responsible for the high transport efficiency. While unexpectedly long coherence times were experimentally demonstrated, the existence of entanglement is, at the moment, a purely theoretical conjecture; it is this conjecture that we analyze. As demonstrated by a toy model, a similar transport phenomenology can be obtained without generating entanglement. Furthermore, we also argue that even if entanglement does exist, it is purely incidental and seems to plays no essential role for the transport efficiency. We emphasize that our paper is not a proof that entanglement does not exist in light-harvesting complexes - this would require a knowledge of the system and its parameters well beyond the state of the art. Rather, we present a counter-example to the recent claims of entanglement, showing that the arguments, as they stand at the moment, are not sufficiently justified and hence cannot be taken as proof for the existence of entanglement, let alone of its essential role, in the excitation transport.
description: 16 pages, 1 figure, published version; typos corrected
False discovery rate estimation for high-dimensional regression models
Creators: name: Yuan, Ming
Publisher: name: University of British Columbia
Year: 2022

description: A genome-wide association study (GWAS) aims to determine genetic variants statistically associated with phenotypes. However, because of linkage disequilibrium (LD), a characteristic of large-scale genomic datasets referring to the strong local dependencies between single-nucleotide polymorphisms (SNPs), it is usually challenging to identify the actual causal variants among their associated proxies. In this work, we propose a Bayesian variable selection method called the sparse mixed Gaussian prior for generalized linear models (SMG-GLM). It is an efficient high-dimensional Bayesian variable selection approach designed for arbitrary relationships between variants and phenotypes. Besides, it calibrates the selection uncertainty, which many popular variable selection methods do not address, by estimating posterior inclusion probabilities. We additionally combine SMG-GLM with knockoffs, named SMG-knockoffs, to account for the collinearity problem caused by LD. The SMG-knockoffs method can make inferences on the variable selection result and control the false discovery rate at an expected level. Its competence in discovering causal variables while controlling a desired false discovery rate has been shown in simulation studies conducted on a GWAS dataset.
Feature Extraction for Machine Learning-based Intrusion Detection in IoT Networks
Creators: name: Sarhan, Mohanad
name: Layeghy, Siamak
name: Moustafa, Nour
name: Gallagher, Marcus
name: Portmann, Marius
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network interruptions and loss of sensitive data have occurred, which led to an active research area for improving NIDS technologies. In an analysis of related works, it was observed that most researchers aim to obtain better classification results by using a set of untried combinations of Feature Reduction (FR) and Machine Learning (ML) techniques on NIDS datasets. However, these datasets are different in feature sets, attack types, and network design. Therefore, this paper aims to discover whether these techniques can be generalised across various datasets. Six ML models are utilised: a Deep Feed Forward (DFF), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Decision Tree (DT), Logistic Regression (LR), and Naive Bayes (NB). The accuracy of three Feature Extraction (FE) algorithms; Principal Component Analysis (PCA), Auto-encoder (AE), and Linear Discriminant Analysis (LDA), are evaluated using three benchmark datasets: UNSW-NB15, ToN-IoT and CSE-CIC-IDS2018. Although PCA and AE algorithms have been widely used, the determination of their optimal number of extracted dimensions has been overlooked. The results indicate that no clear FE method or ML model can achieve the best scores for all datasets. The optimal number of extracted dimensions has been identified for each dataset, and LDA degrades the performance of the ML models on two datasets. The variance is used to analyse the extracted dimensions of LDA and PCA. Finally, this paper concludes that the choice of datasets significantly alters the performance of the applied techniques. We believe that a universal (benchmark) feature set is needed to facilitate further advancement and progress of research in this field.
Peierls coupling in multi-orbital metal oxides
Creators: name: Yam, Yau Chuen
Publisher: name: University of British Columbia
Year: 2022

description: In this thesis we study the effects of the Peierls electron-phonon coupling in multi-band metal oxides systems. In contrast to the more commonly employed Holstein coupling, which is used in single-band models and is momentum-independent, the momentum-dependent Peierls coupling can explicitly treat coupling to multiple bands. We demonstrate the importance of using the Peierls coupling in modelling complex systems by looking at two examples. First, we investigate single polaron physics on a perovskite lattice inspired by BaBiO₃. We find that with Peierls coupling, the ground state momentum of the polaron jumps between high-symmetry points in the Brillouin zone as the coupling strength is increased. Because such sharp transitions are not possible in the Holstein model, it follows that it is not always feasible to map the more complex Peierls model onto the simpler Holstein model. Then, we add the Peierls coupling to Emery's three-band model for cuprate layers and study its effect on the polaron effective mass. We show that although the hole-phonon coupling strength is moderate to strong, it only causes a negligible increase in the effective mass, indicating that the effective coupling to the magnon-dressed quasiparticle is much reduced by the dressing. We explain the reason for this and describe how to treat the difference between lattice coupling to bare holes versus to correlations-dressed quasiparticles. Our results prove that it is essential to choose the proper coupling when describing multi-orbital systems, in order to deduce their properties appropriately. We propose to investigate more systematically the generic nontrivial behaviour brought by the momentum-dependent Peierls coupling by studying a diatomic 1D chain, to reinforce our conclusion.
Additional file 1 of Lean mass as a risk factor for intensive care unit admission: an observational study
Creators: name: Thackeray, Matthew
name: Mohebbi, Mohammadreza
name: Orford, Neil
name: Kotowicz, Mark A.
name: Pasco, Julie A.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Science Policy
subject: Cardiology

description: Additional file 1. Baseline characteristics of GOS-ICU participants based on hospital survival.
Tunable asymmetric reflectance in silver films near the percolation threshold
Creators: name: Chen, Aiqing
name: Deutsch, Miriam
Publisher: name: arXiv
Year: 2010
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We report on the optical characterization of semicontinuous nanostructured silver films exhibiting tunable optical reflectance asymmetries. The films are obtained using a multi-step process, where a nanocrystalline silver film is first chemically deposited on a glass substrate and then subsequently coated with additional silver via thermal vacuum-deposition. The resulting films exhibit reflectance asymmetries whose dispersions may be tuned both in sign and in magnitude, as well as a universal, tunable spectral crossover point. We obtain a correlation between the optical response and charge transport in these films, with the spectral crossover point indicating the onset of charge percolation. Such broadband, dispersion-tunable asymmetric reflectors may find uses in future light-harvesting systems.
description: 18 pages, 5 figures, accepted by Journal of Applied Physics