cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
(Dual) Citizenship in the Mirror. The everyday understanding of citizenship among Peruvian migrants in Italy and Spain
Creators: name: Yapo, Stefania
Publisher: name: Universit� degli studi di Trento
Year: 2020

description: This research investigates why people acquire dual citizenship. It focuses on the acquisition of dual citizenship through residency, with a processual lens and under conditions of ?ordinariness? to tackle aspects that are usually overlooked. It builds on the differentiated access to dual citizenship granted to Peruvian migrants by the Italian and Spanish citizenship regimes. The 79 Peruvian migrants included in the study are either prospective dual citizens or actual dual citizens. The research builds on qualitative methods ranging from participant observation to in-depth semi-structured interviews. It investigates the motivations, expectations and contingences that bring migrants to the status acquisition. The analysis distinguishes between early and postponed acquisitions to highlight how practices of convenience and everyday forms of substantive commitment can coexist under the same national umbrella. Moreover it suggests that the availability and accessibility of the dual status cannot be conflated with a supposed desirability. Although nation-states design their citizenship and immigration regimes according to normative stances that should shape their ideal citizenry, individuals qua migrants manage to forge their own way into the host community while formally abiding the law. Thus, migrants? pathways across statuses are the result of structural constraints as much as personal preferences and deliberate positioning vis-�-vis nation-states. The study shows how people navigate the laws through both legal and semi-legal means; how they cultivate constellations of belonging that do not necessarily match formal memberships; and how they invest citizenship with multiple meanings that can converge, collide, or simply bypass the state-led rhetoric on national membership.
Tuning the dynamics of chiral domain walls of ferrimagnetic films with the magneto-ionic effect
Creators: name: Balan, Cristina
name: Garcia, Jose Pena
name: Fassatoui, Aymen
name: Vogel, Jan
name: Chaves, Dayane de Souza
name: Bonfim, Marlio
name: Rueff, Jean-Pascal
name: Ranno, Laurent
name: Pizzini, Stefania
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The manipulation of magnetism with a gate voltage is expected to lead the way towards the realization of energy-efficient spintronics devices and high-performance magnetic memories. Exploiting magneto-ionic effects under micro-patterned electrodes in solid-state devices adds the possibility to modify magnetic properties locally, in a non-volatile and reversible way. Tuning magnetic anisotropy, magnetization and Dzyaloshinskii-Moriya interaction allows modifying at will the dynamics of non trivial magnetic textures such as skyrmions and chiral domain walls in magnetic race tracks. In this work, we illustrate efficient magneto-ionic effects in a ferrimagnetic Pt/Co/Tb stack using a ZrO2 thin layer as a solid state ionic conductor. When a thin layer of terbium is deposited on top of cobalt, it acquires a magnetic moment that aligns antiparallel to that of cobalt, reducing the effective magnetization. Below the micro-patterned electrodes, the voltage-driven migration of oxygen ions in a ZrO2 towards the ferrimagnetic stack partially oxidizes the Tb layer, leading to the local variation not only of the spontaneous magnetization, but also of the effective magnetic anisotropy and of the Dzyaloshinskii-Moriya interaction. This leads to a huge increase of the domain wall velocity, which varies from 10 m/s in the pristine state to 250 m/s after gating. This non-volatile and reversible tuning of the domain wall dynamics may lead to applications to reprogrammable magnetic memories or other spintronic devices.
description: 11 pages, 7 figures
Additional file 4 of AllCoPol: inferring allele co-ancestry in polyploids
Creators: name: Lautenschlager, Ulrich
name: Wagner, Florian
name: Oberprieler, Christoph
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 4: Table S1. Optimization of tuning parameters for the example analysis.
Life and death of stationary linear response in anomalous continuous time random walk dynamics
Creators: name: Goychuk, Igor
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Linear theory of stationary response in thermal systems subjected to external perturbations requires to find equilibrium correlation function of the responding system variable in the absence of external perturbations. Studies of the response of the systems exhibiting anomalously slow dynamics are often based on the continuous time random walk description (CTRW) with divergent mean waiting times. The bulk of the literature on anomalous response contains linear response functions like one by Cole-Cole calculated from such a CTRW theory and applied to thermal systems. Here we show within a fairly simple and general model that for the systems with divergent mean waiting times the stationary response is absent, in accordance with some recent studies. The absence of stationary response at thermal equilibrium (or dying to zero non-stationary response in aging experiments) would confirm CTRW with divergent mean waiting times as underlying physical relaxation mechanism, but reject it otherwise. We show that the absence of stationary response is closely related to the breaking of ergodicity of the corresponding dynamical variable. As an important new result, we derive a generalized Cole-Cole response within ergodic CTRW dynamics with finite waiting time. Moreover, we provide a physically reasonable explanation of the origin and wide presence of 1/f noise in condensed systems for ergodic dynamics close to normal, rather than mostly deviating.
title: Klimazone Kirche. Präventive Konservierung der Ausstattung
title: Abstracts der Vorträge. Interdisziplinäre Tagung vom 16. bis 18. Januar 2019 in Hildesheim
titleType: Subtitle
Creators: name: Weyer, Angela
name: Birkenbeul, Ina
name: Goltz, Michael Von Der
Publisher: name: HAWK Hochschule für angewandte Wissenschaft und Kunst Hildesheim/Holzminden/Göttingen
Year: 2019
Subjects: Conservation
Historic preservation

description: Die Tagung widmet sich dem zentralen Thema der Wechselbeziehungen zwischen Raumklima und Ausstattung, die bislang nur teilweise erforscht sind. Das betrifft Kirchen in besonderem Maße, denn ihre bauphysikalischen und raumklimatischen Beanspruchungen unterscheiden sich erheblich von solchen in permanent genutzten historischen Gebäuden, wie z. B. Museen, weshalb die Forschungen zu anderen historischen Gebäuden nur bedingt übertragbar sind. Das Thema ist sehr aktuell, hat doch neben dem Verlust von Bild- und Fassungsschichten und der Verschmutzung der Objekte insbesondere Schimmelbefall an Kirchenausstattungen in jüngerer Zeit dramatisch zugenommen. Die kirchlichen Bauämter befinden sich im Balanceakt zwischen Kirchennutzung, energieeffizientem Heizen und Erhalt der kulturhistorisch bedeutenden Ausstattung.
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
Creators: name: Bi, Qi
name: Zhou, Beichen
name: Qin, Kun
name: Ye, Qinghao
name: Xia, Gui-Song
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Aerial scene classification remains challenging as: 1) the size of key objects in determining the scene scheme varies greatly; 2) many objects irrelevant to the scene scheme are often flooded in the image. Hence, how to effectively perceive the region of interests (RoIs) from a variety of sizes and build more discriminative representation from such complicated object distribution is vital to understand an aerial scene. In this paper, we propose a novel all grains, one scheme (AGOS) framework to tackle these challenges. To the best of our knowledge, it is the first work to extend the classic multiple instance learning into multi-grain formulation. Specially, it consists of a multi-grain perception module (MGP), a multi-branch multi-instance representation module (MBMIR) and a self-aligned semantic fusion (SSF) module. Firstly, our MGP preserves the differential dilated convolutional features from the backbone, which magnifies the discriminative information from multi-grains. Then, our MBMIR highlights the key instances in the multi-grain representation under the MIL formulation. Finally, our SSF allows our framework to learn the same scene scheme from multi-grain instance representations and fuses them, so that the entire framework is optimized as a whole. Notably, our AGOS is flexible and can be easily adapted to existing CNNs in a plug-and-play manner. Extensive experiments on UCM, AID and NWPU benchmarks demonstrate that our AGOS achieves a comparable performance against the state-of-the-art methods.
description: 16 pages, 9 figures
Jaźń w stanie głębokiego snu w ujęciu Śankary
Creators: name: Dmuchowska, Marta
Publisher: name: Diametros
Year: 2007

description: Niniejsza praca jest kontynuacją Samopoznania w filozofii Śankary i Schopenhauera. Jest to ciąg dalszy prezentacji poglądów Śankary na jaźń człowieka. Tym razem przedstawione zostaje jego spojrzenie na jaźń w stanie snu bez śnienia - głębokiego snu. Pojawia się także krótki opis śpiączki. Opis kolejnych stanów i form świadomości wskazuje na jej pozorną wielopłaszczyznowość i złożoność. Analiza snu bez śnienia gdy umysł i zmysły są powściągnięte, prowadzi w kierunku poznania jej rzeczywistej - z punktu widzenia filozofii niedwoistości adwajta wedanty - niedualnej natury.
description: Diametros, No 14 (2007)
Gravothermal evolution of dark matter halos with differential elastic scattering
Creators: name: Yang, Daneng
name: Yu, Hai-Bo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study gravothermal evolution of dark matter halos in the presence of differential self-scattering that has strong velocity and angular dependencies. We design controlled N-body simulations to model Rutherford and Moller scatterings in the halo, and follow its evolution in both core-expansion and -collapse phases. The simulations show the commonly-used transfer cross section underestimates the effects of dark matter self-interactions, but the viscosity cross section provides an accurate approximation for modeling angular-dependent dark matter scattering. We investigate thermodynamic properties of the halo, and find that the three moments of the Boltzmann equation under the fluid approximation are satisfied. We further propose a constant effective cross section, which integrates over the halo's characteristic velocity dispersion with weighting kernels motivated by kinetic theory of heat conduction. The effective cross section provides a good approximation to differential self-scattering for most of the halo evolution. It indicates that we can map astrophysical constraints on a constant self-interacting cross section to an SIDM model with velocity- and angular-dependent scatterings.
description: 26 pages, 12 figures; results updated with high-resolution simulations; a minor error corrected; main conclusions unchanged
The dynamics of spontaneous hydrogen segregation in LaFe$_{13-x}$Si$_x$H$_y$
Creators: name: Baumfeld, Oliver L.
name: Gercsi, Zsolt
name: Krautz, Maria
name: Gutfleisch, Oliver
name: Sandeman, Karl G.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: By means of time- and temperature-dependent magnetization measurements, we demonstrate that the timescale of hydrogen diffusion in partially-hydrogenated LaFe$_{13-x}$Si$_x$H$_y$ is of the order of hours, when the material is held at temperatures close to its as-prepared Curie temperature, $T_{C0}$. The diffusion constant is estimated to be $D \approx 10^{-15}$ - $10^{-16}$ m$^2$s$^{-1}$ at room temperature. We examine the evolution of a magnetically phase-separated state upon annealing for 3 days at a range of temperatures around $T_{C0}$, and show that the thermodynamic driving force behind hydrogen diffusion and phase segregation may be attributed to the lower free energy of hydrogen interstitials in the ferromagnetic state relative to the paramagnetic state.
description: 4 pages, 3 color figures
Singer pokonany?
Creators: name: Szymczyk, Marta
Publisher: name: Diametros
Year: 2008

description: Recenzja książki: Eduard Picker, Godność człowieka a życie ludzkie, tłum. Jarosław Merecki, Oficyna Naukowa, Warszawa 2007.
description: Diametros, No 15 (2008)
Tuning the magnetic anisotropy and topological phase with electronic correlation in single-layer H-FeBr$_2$
Creators: name: Pan, Weiyi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Electronic correlation can strongly influence the electronic properties of two-dimensional (2D) materials with open d- or f-orbitals. Herein, by taking single-layer (SL) H-FeBr$_2$ as a representative of the SL H-FeX$_2$ (X=Cl, Br, I) family, we investigated the electronic correlation effects in the magnetic anisotropy and electronic topology of such a system based on first-principles calculations with DFT+\textit{U} approach. Our result is that the magnetic anisotropy energy (MAE) of SL H-FeBr$_2$ shows a non-monotonic evolution behaviour with increasing electronic correlation strength, which is mainly due to the competition between different element-resolved MAEs of Fe and Br. Further investigations show that the evolution of element-resolved MAE arises from the variation of the spin-orbital coupling (SOC) interaction between different orbitals in each atom. Moreover, tuning the strength of the electronic correlation can drive the occurrence of band inversions, causing the system to undergoes multiple topological phase transitions, resulting in a quantum anomalous valley Hall (QAVH) effect. These exotic properties are universal for the SL H-FeX$_2$ (X = Cl, Br, I) family. Our work sheds light on the role of electronic correlation effects in tuning magnetic and electronic structures in the SL H-FeX$_2$ (X = Cl, Br, I) family, which could guide advances in the development of new spintronics and valleytronics devices based on these materials.
description: 12 pages, 8 figures
Non-Debye impedance and relaxation models for dissipative electrochemical capacitors
Creators: name: Allagui, Anis
name: Benaoum, Hachemi
name: Elwakil, Ahmed S.
name: Alshabi, Mohammad
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Electrochemical capacitors are a class of energy devices in which complex mechanisms of accumulation and dissipation of electric energy take place when connected to a charging or discharging power system. Reliably modeling their frequency-domain and time-domain behaviors is crucial for their proper design and integration in engineering applications, knowing that electrochemical capacitors in general exhibit anomalous tendency that cannot be adequately captured with traditional integer-order-based models. In this study we first review some of the widely used fractional-oder models for the description of impedance and relaxation functions of dissipative resistive-capacitive system, namely the Cole-Cole, Davidson-Cole, and Havriliak-Negami models. We then propose and derive new q-deformed models based on modified evolution equations for the charge or voltage when the device is discharged into a parallel resistive load. We verify our results on anomalous spectral impedance response and time-domain relaxation data for voltage and charge obtained from a commercial supercapacitor.
description: 9 pages, 3 figures
Teologia postmodernistyczna jako szansa dla religii chrześcijańskiej
Creators: name: Zawadzki, Michał
Publisher: name: Diametros
Year: 2008

description: Recenzja książki: Marcin Jaranowski, Transcendencja jako ocalenie. Søren Kierkegaard a problem teologii postmodernistycznej, Wydawnictwo NOMOS, Kraków 2007.
description: Diametros, No 15 (2008)
Energy dependent $\ell$-wave confinement-induced resonances
Creators: name: Hess, B.
name: Giannakeas, P.
name: Schmelcher, P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: The universal aspects of two-body collisions in the presence of a harmonic confinement are investigated for both bosons and fermions. The main focus of this study are the confinement-induced resonances (CIR) which are attributed to different angular momentum states $\ell$ and we explicitly show that in alkaline collisions only four universal $\ell$-wave CIRs emerge. Going beyond the single mode regime the energy dependence of $\ell$-wave CIRs is studied. In particular we show that all the $\ell$-wave CIRs may emerge even when the underlying two-body potential cannot support any bound state. We observe that the intricate dependence on the energy yields resonant features where the colliding system within the confining potential experiences an effective free-space scattering. Our analysis is done within the framework of the generalized $K$-matrix theory and the relevant analytical calculations are in very good agreement with the corresponding ab initio numerical scattering simulations.
description: 11 pages, 10 figures
Leptoquark-vectorlike quark model for the CDF $m_W$, $(g-2)_μ$, $R_{K^{(\ast)}}$ anomalies and neutrino mass
Creators: name: Chowdhury, Talal Ahmed
name: Saad, Shaikh
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Very recently, a substantial $7σ$ deviation of the $W$-boson mass from the Standard Model (SM) prediction has been reported by the CDF collaboration. Furthermore, the Muon g-2 Experiment recently confirmed the longstanding tension in $(g-2)_μ$. Besides, the updated result from the LHCb collaboration found evidence for the breaking of lepton universality in beauty-quark decays, which shows a $3.1σ$ discrepancy and is consistent with their previous measurements. Motivated by several of these drawbacks of the SM, in this work, we propose a model consisting of two scalar leptoquarks and a vectorlike quark to simultaneously address the $W$-boson mass shift, the $(g-2)_μ$, and anomalies in the neutral current transitions of the $B$-meson decays. The proposed model also sheds light on the origin of neutrino mass and can be fully tested at the future colliders.
description: 10 pages+references; 9 figures; version-3: improved graphical presentation; Accepted in Physical Review D
Differentially Private Vertical Federated Clustering
Creators: name: Li, Zitao
name: Wang, Tianhao
name: Li, Ninghui
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In many applications, multiple parties have private data regarding the same set of users but on disjoint sets of attributes, and a server wants to leverage the data to train a model. To enable model learning while protecting the privacy of the data subjects, we need vertical federated learning (VFL) techniques, where the data parties share only information for training the model, instead of the private data. However, it is challenging to ensure that the shared information maintains privacy while learning accurate models. To the best of our knowledge, the algorithm proposed in this paper is the first practical solution for differentially private vertical federated k-means clustering, where the server can obtain a set of global centers with a provable differential privacy guarantee. Our algorithm assumes an untrusted central server that aggregates differentially private local centers and membership encodings from local data parties. It builds a weighted grid as the synopsis of the global dataset based on the received information. Final centers are generated by running any k-means algorithm on the weighted grid. Our approach for grid weight estimation uses a novel, light-weight, and differentially private set intersection cardinality estimation algorithm based on the Flajolet-Martin sketch. To improve the estimation accuracy in the setting with more than two data parties, we further propose a refined version of the weights estimation algorithm and a parameter tuning strategy to reduce the final k-means utility to be close to that in the central private setting. We provide theoretical utility analysis and experimental evaluation results for the cluster centers computed by our algorithm and show that our approach performs better both theoretically and empirically than the two baselines based on existing techniques.
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
Creators: name: Tec, Mauricio
name: Duan, Yunshan
name: Müller, Peter
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Reinforcement Learning (RL) is a computational approach to reward-driven learning in sequential decision problems. It implements the discovery of optimal actions by learning from an agent interacting with an environment rather than from supervised data. We contrast and compare RL with traditional sequential design, focusing on simulation-based Bayesian sequential design (BSD). Recently, there has been an increasing interest in RL techniques for healthcare applications. We introduce two related applications as motivating examples. In both applications, the sequential nature of the decisions is restricted to sequential stopping. Rather than a comprehensive survey, the focus of the discussion is on solutions using standard tools for these two relatively simple sequential stopping problems. Both problems are inspired by adaptive clinical trial design. We use examples to explain the terminology and mathematical background that underlie each framework and map one to the other. The implementations and results illustrate the many similarities between RL and BSD. The results motivate the discussion of the potential strengths and limitations of each approach.
description: The American Statistician (2022)
Mary Kenneth Keller: First US PhD in Computer Science
Creators: name: Head, Jennifer
name: O'Leary, Dianne P.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Literature (cs.GL)
subject: FOS: Computer and information sciences
subject: K.2
subject: 68.03

description: In June 1965, Sister Mary Kenneth Keller, BVM, received the first US PhD in Computer Science, and this paper outlines her life and accomplishments. As a scholar, she has the distinction of being an early advocate of learning-by-example in artificial intelligence. Her main scholarly contribution was in shaping computer science education in high schools and small colleges. She was an evangelist for viewing the computer as a symbol manipulator, for providing computer literacy to everyone, and for the use of computers in service to humanity. She was far ahead of her time in working to ensure a place for women in technology and in eliminating barriers preventing their participation, such as poor access to education and daycare. She was a strong and spirited woman, a visionary in seeing how computers would revolutionize our lives. A condensation of this paper appeared as, ``The Legacy of Mary Kenneth Keller, First U.S. Ph.D. in Computer Science," Jennifer Head and Dianne P. O'Leary, IEEE Annals of the History of Computing 45(1):55--63, January-March 2023.
description: This revision expands the abstract, adds a reference to a condensed version of this paper published in a journal, references Keller's work on ACM curricula, and notes an IEEE prize in her honor
Food and Nutrition Security in Developing Economies: An Intra-household and Gender Based Assessment
Creators: name: Hazrana, Jaweriah
name: Mishra, Ashok K.
Publisher: name: Unknown
Year: 2024
Subjects: subject: Climate Change
subject: Food Consumption/Nutrition/Food Safety
subject: Climate change
subject: Food consumption
subject: Nutrition
subject: Gender
subject: Bangladesh

description: This study examines the impact of droughts on intra-household food consumption, diet diversity, and nutrition. The study provides a unique and nuanced understanding of how droughts affect the food consumption and nutrition of men, women, and children within a household. We use panel data from a nationally representative survey in Bangladesh. Findings show that after a drought, individuals spend 4.6% less on food and consume 3.4% fewer calories, 3.3% less protein, and 4.7% less fat. However, the effect is not homogeneous across all household members. Women and children, the most vulnerable groups, experience a greater shortfall in food consumption and nutrients than men. Furthermore, droughts lead to a less balanced household diet, characterized by reduced consumption of nutrient-rich animal-source and plant-based foods and increased reliance on cereals. Policymakers could support targeted interventions for vulnerable individuals to access adequate nutrition during climatic stress.
CONDITIONS OF POLISH SOVEREIGNTY WITH REGARD TO PLANT FEED PROTEIN SUPPLY
Creators: name: MICHAŁ A., JERZAK
name: MICHAŁ A., JERZAK
Publisher: name: Unknown
Year: 2022
Subjects: subject: Agricultural and Food Policy
subject: Environmental Economics and Policy
subject: Food Consumption/Nutrition/Food Safety
subject: food security
subject: protein self-sufficiency
subject: globalisation
subject: cost-effectiveness of substitution
subject: European Green Deal

description: The study aimed to identify the main factors contributing to the limited physical self-sufficiency of the country in terms of plant protein supply for feed purposes, as well as to indicate the directions of possible actions leading to the improvement of this situation in Poland. Selected methods of descriptive statistics, substitution calculation and descriptive and comparative analysis were used to compile the numerical data. In the summary, it is concluded that the main market factor contributing to the reduction of the country’s physical self-sufficiency in plant protein is the progressive globalisation processes that are seen in Poland both in the sphere of feed production and in pig rearing. It was also recognised that European Union policy measures such as the “Agricultural Green Deal” strategy could result in an increase in the volume of domestically produced protein crops in Poland, which would increase the country’s security of supply of plant protein for feed purposes. It was also stated that in view of the ineffectiveness of market-based measures in developing protein crop production in the country, the government could intervene to introduce a plant protein indicator target to activate the market for this raw material.
O możliwości antyredukcjonizmu: uwagi polemiczne
Creators: name: Strawiński, Witold
Publisher: name: Diametros
Year: 2008

description: Recenzja książki: Katarzyna Paprzycka, O możliwości antyredukcjonizmu, Wydawnictwo Naukowe Semper, Warszawa 2005.
description: Diametros, No 17 (2008)
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning
Creators: name: Zhang, Tianxing
name: Wu, Hanzhou
name: Lu, Xiaofeng
name: Sun, Guangling
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: As a self-supervised learning paradigm, contrastive learning has been widely used to pre-train a powerful encoder as an effective feature extractor for various downstream tasks. This process requires numerous unlabeled training data and computational resources, which makes the pre-trained encoder become valuable intellectual property of the owner. However, the lack of a priori knowledge of downstream tasks makes it non-trivial to protect the intellectual property of the pre-trained encoder by applying conventional watermarking methods. To deal with this problem, in this paper, we introduce AWEncoder, an adversarial method for watermarking the pre-trained encoder in contrastive learning. First, as an adversarial perturbation, the watermark is generated by enforcing the training samples to be marked to deviate respective location and surround a randomly selected key image in the embedding space. Then, the watermark is embedded into the pre-trained encoder by further optimizing a joint loss function. As a result, the watermarked encoder not only performs very well for downstream tasks, but also enables us to verify its ownership by analyzing the discrepancy of output provided using the encoder as the backbone under both white-box and black-box conditions. Extensive experiments demonstrate that the proposed work enjoys pretty good effectiveness and robustness on different contrastive learning algorithms and downstream tasks, which has verified the superiority and applicability of the proposed work.
description: https://scholar.google.com/citations?user=IdiF7M0AAAAJ&hl=en
Thermodynamic non-equilibrium effects in bubble coalescence: A discrete Boltzmann study
Creators: name: Sun, Guanglan
name: Gan, Yanbiao
name: Xu, Aiguo
name: Zhang, Yudong
name: Shi, Qingfan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The Thermodynamic Non-Equilibrium (TNE) effects in the coalescing process of two initially static bubbles under thermal conditions are investigated by a Discrete Boltzmann Model (DBM). The spatial distributions of the typical none-quilibrium quantity, i.e., the Non-Organized Momentum Fluxes (NOMF) during evolutions are investigated in detail. The density-weighted statistical method is used to highlight the relationship between the TNE effects and the morphological or kinetics characteristics of bubble coalescence. It is found that the $xx$-component and $yy$-component of NOMF are anti-symmetrical; the $xy$-component changes from an anti-symmetric internal and external double quadrupole structure to an outer octupole structure during the coalescing process. More importantly, the evolution of the averaged $xx$-component of NOMF provides two characteristic instants, which divide the non-equilibrium process into three stages. The first instant corresponds to the moment when the mean coalescing speed gets the maximum and at this time the ratio of minor and major axes is about $1/2$. The second instant corresponds to the moment when the ratio of minor and major axes gets $1$ for the first time. It is interesting to find that the three quantities, TNE intensity, acceleration of coalescence and negative slope of boundary length, show a high degree of correlation and attain their maxima simultaneously. Surface tension and heat conduction accelerate the process of bubble coalescence while viscosity delays it. Both surface tension and viscosity enhance the global non-equilibrium intensity, whereas heat conduction restrains it. These TNE features and findings present some new insights into the kinetics of bubble coalescence.
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker
Creators: name: Ayuso-Martinez, Alvaro
name: Casanueva-Morato, Daniel
name: Dominguez-Morales, Juan P.
name: Jimenez-Fernandez, Angel
name: Jimenez-Moreno, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: One of the most interesting and still growing scientific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological nervous systems. Currently, there are many research groups developing practical applications based on neuroscientific knowledge. This work provides researchers with a novel toolkit of building blocks based on Spiking Neural Networks that emulate the behavior of different logic gates. These could be very useful in many spike-based applications, since logic gates are the basis of digital circuits. The designs and models proposed are presented and implemented on a SpiNNaker hardware platform. Different experiments were performed in order to validate the expected behavior, and the obtained results are discussed. The functionality of traditional logic gates and the proposed blocks is studied, and the feasibility of the presented approach is discussed.
description: 9 pages, 9 figures, 1 table, conference, IJCNN 2022, accepted for publication
Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning
Creators: name: Askari, Iman
name: Badnava, Babak
name: Woodruff, Thomas
name: Zeng, Shen
name: Fang, Huazhen
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Control of machine learning models has emerged as an important paradigm for a broad range of robotics applications. In this paper, we present a sampling-based nonlinear model predictive control (NMPC) approach for control of neural network dynamics. We show its design in two parts: 1) formulating conventional optimization-based NMPC as a Bayesian state estimation problem, and 2) using particle filtering/smoothing to achieve the estimation. Through a principled sampling-based implementation, this approach can potentially make effective searches in the control action space for optimal control and also facilitate computation toward overcoming the challenges caused by neural network dynamics. We apply the proposed NMPC approach to motion planning for autonomous vehicles. The specific problem considers nonlinear unknown vehicle dynamics modeled as neural networks as well as dynamic on-road driving scenarios. The approach shows significant effectiveness in successful motion planning in case studies.
description: To appear in 2022 American Control Conference (ACC)
Deliverable 4.1 General Purpose integration platform
Creators: name: López, Marisol Parrilla
name: Ribera, Robin Giles
name: De L A Riva, Santiago Martínez
name: Pablo Yagüe, Beatriz Cerezo
name: Piera, Jaume
name: Rodriguez, Miquel Àngel
name: Soacha, Karen
name: Schmidt, Norbert
name: Bredel, Henning
name: Masó, Joan
name: Dodd, Mike
name: Advaith Siddharthan
name: Coulson, Stephen James
name: Daskolia, Maria
name: Joly, Alexis
name: Frucella, Silvina
name: Bonet, Pierre
Publisher: name: Zenodo
Year: 2020
Subjects: data integration

description: The Interactive Platforms for data integration will allow users to interact simultaneously with different sources of data to create derived services. The base of the development will be a generic purpose platform that can be customized according to specific needs. The expert platform will be able to exchange information with different modules using the standard protocols defined i n WP2. This generic platform will incorporate micro services that will allow the external users, use or integrate each service in their own i nstitutional or professional web platform. To develop this platform, the first task that we had to tackle was to create a common framework that helps us and helps others to build their own Biodiversity Observation Expert Portal. This portal provides very interesting functionalities for the community, and solves several problems that have arisen i n recent years due to the increase in the number of Citizen Observatories (COs) that have been created without following common rules.
Observation of large spontaneous emission rate enhancement of quantum dots in a broken-symmetry slow-light waveguide
Creators: name: Siampour, Hamidreza
name: O'Rourke, Christopher
name: Brash, Alistair J.
name: Makhonin, Maxim N.
name: Dost, René
name: Hallett, Dominic J.
name: Clarke, Edmund
name: Patil, Pallavi K.
name: Skolnick, Maurice S.
name: Fox, A. Mark
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum states of light and matter can be manipulated on the nanoscale to provide a technological resource for aiding the implementation of scalable photonic quantum technologies [1-3]. Experimental progress relies on the quality and efficiency of the coupling between photons and internal states of quantum emitters [4-6]. Here we demonstrate a nanophotonic waveguide platform with embedded quantum dots (QDs) that enables both Purcell-enhanced emission and strong chiral coupling. The design uses slow-light effects in a glide-plane photonic crystal waveguide with QD tuning to match the emission frequency to the slow-light region. Simulations were used to map the chirality and Purcell enhancement depending on the position of a dipole emitter relative to the air holes. The highest Purcell factors and chirality occur in separate regions, but there is still a significant area where high values of both can be obtained. Based on this, we first demonstrate a record large radiative decay rate of 17 ns^-1 (60 ps lifetime) corresponding to a 20 fold Purcell enhancement. This was achieved by electric-field tuning of the QD to the slow-light region and quasi-resonant phonon-sideband excitation. We then demonstrate a 5 fold Purcell enhancement for a dot with high degree of chiral coupling to waveguide modes, substantially surpassing all previous measurements. Together these demonstrate the excellent prospects for using QDs in scalable implementations of on-chip spin-photonics relying on chiral quantum optics.
description: 15 pages, 4 figures, 1 table. Supporting information is available upon request to the corresponding author
Duch ludzki a historia u Diltheya
Creators: name: Szyroka, Izabela
Publisher: name: Diametros
Year: 2008

description: Recenzja książki: Wilhelm Dilthey, Budowa świata historycznego w naukach humanistycznych, przeł. E. Paczkowska-Łagowska, słowo/obraz terytoria, Gdańsk 2005.
description: Diametros, No 17 (2008)
LEVEL AND EFFICIENCY OF USING PRODUCTION RESOURCES FOOD INDUSTRY IN THE EUROPEAN UNION COUNTRIES
Creators: name: MAŁGORZATA, JUCHNIEWICZ
name: MAŁGORZATA, JUCHNIEWICZ
Publisher: name: Unknown
Year: 2022
Subjects: subject: Agricultural and Food Policy
subject: Productivity Analysis
subject: production resources
subject: employment
subject: efficiency
subject: productivity
subject: food industry

description: The research problem presented in the article concerned the diversification of the level and effectiveness of the use of production resources in the food industry in the EU countries. Production resources were determined on the basis of the number of entities and employees in food producing enterprises. The effectiveness of their use was also measured by calculating the productivity indicators. In the article, the partial productivity was calculated on the basis of the value of sold production per one employee and one economic entity. Changes in the production resources of the food industry in the EU countries and the efficiency of their use were determined in 2005, 2010 and 2019. The results of the research indicate that the largest production resources and production volume of the food industry were found in Germany, France, Italy and Spain. In terms of employment, Poland played a significant role. The efficiency of the use of factors of production, measured by productivity indicators, was the highest in Ireland, Denmark and the Netherlands. On this basis, it can be concluded that regardless of the adopted measure of productivity, these countries make the best use of their production resources. By far the lowest levels of productivity in the food industry were recorded in Bulgaria and Romania.
Additional file 1 of Prevalence of stress and depression and associated factors among women seeking a first-trimester induced abortion in China: a cross-sectional study
Creators: name: Zhang, Qiuxiang
name: Wang, Na
name: Hu, Yinchu
name: Creedy, Debra K.
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1: Table S1 Factors associated with notable depression (PHQ ≥ 10) from binary logistic regression analysis.
Additional file 6 of Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit
Creators: name: Yoon, Joo Heung
name: Jeanselme, Vincent
name: Dubrawski, Artur
name: Hravnak, Marilyn
name: Pinsky, Michael R.
name: Clermont, Gilles
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 6: Table S1. Demographic and clinical characteristics of training and validation cohorts.
Spike-based computational models of bio-inspired memories in the hippocampal CA3 region on SpiNNaker
Creators: name: Casanueva-Morato, Daniel
name: Ayuso-Martinez, Alvaro
name: Dominguez-Morales, Juan P.
name: Jimenez-Fernandez, Angel
name: Jimenez-Moreno, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Machine Learning (cs.LG)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: The human brain is the most powerful and efficient machine in existence today, surpassing in many ways the capabilities of modern computers. Currently, lines of research in neuromorphic engineering are trying to develop hardware that mimics the functioning of the brain to acquire these superior capabilities. One of the areas still under development is the design of bio-inspired memories, where the hippocampus plays an important role. This region of the brain acts as a short-term memory with the ability to store associations of information from different sensory streams in the brain and recall them later. This is possible thanks to the recurrent collateral network architecture that constitutes CA3, the main sub-region of the hippocampus. In this work, we developed two spike-based computational models of fully functional hippocampal bio-inspired memories for the storage and recall of complex patterns implemented with spiking neural networks on the SpiNNaker hardware platform. These models present different levels of biological abstraction, with the first model having a constant oscillatory activity closer to the biological model, and the second one having an energy-efficient regulated activity, which, although it is still bio-inspired, opts for a more functional approach. Different experiments were performed for each of the models, in order to test their learning/recalling capabilities. A comprehensive comparison between the functionality and the biological plausibility of the presented models was carried out, showing their strengths and weaknesses. The two models, which are publicly available for researchers, could pave the way for future spike-based implementations and applications.
description: 9 pages, 6 figures, 1 table, conference, IJCNN 2022, accepted for publication
Uhlmann phase of coherent states and the Uhlmann-Berry correspondence
Creators: name: Wang, Xin
name: Hou, Xu-Yang
name: Zhou, Zheng
name: Guo, Hao
name: Chien, Chih-Chun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We first compare the geometric frameworks behind the Uhlmann and Berry phases in a fiber-bundle language and then evaluate the Uhlmann phases of bosonic and fermionic coherent states. The Uhlmann phases of both coherent states are shown to carry geometric information and decrease smoothly with temperature. Importantly, the Uhlmann phases approach the corresponding Berry phases as temperature decreases. Together with previous examples in the literature, we propose a correspondence between the Uhlmann and Berry phases in the zero-temperature limit as a general property except some special cases and present a conditional proof of the correspondence.
description: 23 pages, no figure
Survivor
Creators: name: Kunz, Erin O'Mara
name: Howell, Jennifer
name: Beasley, Nicole
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Social Psychology
subject: Psychology
subject: FOS: Psychology
subject: Social and Behavioral Sciences

description: This project contains a dataset of contestants from seasons 1-40 of the TV show Survivor (US). The data was used to examine racial and gender bias in how contestants vote for each other at multiple points of the game.
Relaxation of photo-excited hot carriers beyond multi-temperature models: General theory description verified by experiments on Pb/Si(111)
Creators: name: Kratzer, Peter
name: Rettig, Laurenz
name: Sklyadneva, Irina Yu.
name: Chulkov, Evgueni V.
name: Bovensiepen, Uwe
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The equilibration of electronic carriers in metals after excitation by an ultra-short laser pulse provides an important class of non-equilibrium phenomena in metals and allows measuring the effective electron-phonon coupling parameter. Since the observed decay of the electronic distribution is governed by the interplay of both electron-electron and electron-phonon scattering, the interpretation of experimental data must rely on models that ideally should be easy to handle, yet accurate. In this work, an extended rate-equation model is proposed that explicitly includes non-thermal electronic carriers while at the same time incorporating data from first-principles calculations of the electron-phonon coupling via Eliashberg-Migdal theory. The model is verified against experimental data for thin Pb films grown on Si(111). Improved agreement between theory and experiment at short times (<0.3ps) due to non-thermal electron contributions is found. Moreover, the rate equations allow for widely different coupling strength to different phonon subsystems. Consequently, an indirect, electron-mediated energy transfer between strongly and weakly coupled groups of phonons can be observed in the simulations that leads to a retarded equilibration of the subsystems only after several picoseconds.
description: 11 pages, 6 figures