cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A clinical study of musculoskeletal dysfunction in targets of workplace bullying
Creators: name: Buhaug, Kristin
name: Magerøy, Nils
name: Einarsen, Ståle Valvatne
name: Assmus, Jörg
name: Kvåle, Alice
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Workers exposed to bullying often report musculoskeletal symptoms. In this study we have clinically evaluated the prevalence and nature of musculoskeletal dysfunction among a group of workers exposed to bullying and studied the relationship between clinical findings and self-reported musculoskeletal and mental symptoms. In a cross-sectional study, 144 patients admitted to an outpatient clinic for victims of workplace bullying were assessed with the Global Physiotherapy Examination 52 (GPE-52), a standardised test battery examining posture, respiration, movement, muscle and skin. The patients filled in self-report questionnaires regarding musculoskeletal symptoms (MSI), anxiety and depression (The Hospital Anxiety and Depression Scale, HADS) and post-traumatic stress symptoms (Impact of Events Scale revised version, IES-R). Patients victimised by bullying showed reduced flexibility, reduced ability to relax, restricted respiration and tense and painful muscles. The total GPE-52 sum-score and the main domains Movement and Muscle had significant correlations with most self-reported health variables, strongest between the subdomain Flexibility and HADS-D (r = 0.37) and HADS-A (r = 0.36). Victims of bullying have clinically evident musculoskeletal dysfunctions that were further found to have a relationship with self-reported mental symptoms. Future health services for these patients should be multi-dimensional and include a bodily assessment by a physiotherapist and relevant treatment when needed.
Are the common genetic variants associated with colorectal cancer risk for DNA mismatch repair gene mutation carriers?
Creators: name: Newcomb, Polly A.
name: Gallinger, Steven
name: Winship, Ingrid
name: Lindor, Noralane M.
name: Buchanan, Daniel D.
name: Parry, Susan
name: Giles, Graham G.
name: Hopper, John L.
name: Tenesa, Albert
name: Marchand, Loïc Le
name: Baron, John A.
name: Jenkins, Mark A.
name: Dowty, James G.
name: Duggan, David
name: Boussioutas, Alex
name: Goldblatt, Jack
name: Win, Aung Ko
name: Young, Joanne P.
name: Young, Graeme P.
name: Haile, Robert W.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: Genome-wide association studies have identified at least 15 independent common genetic variants associated with colorectal cancer (CRC) risk. The aim of this study was to investigate whether 11 of these variants are associated with CRC risk for carriers of germline mutations in DNA mismatch repair (MMR) genes.
Recreational and household physical activity at different time points and DNA global methylation
Creators: name: White, Alexandra J.
name: Bolick, Sophia C.E.
name: Xu, Zongli
name: Sandler, Dale P.
name: DeRoo, Lisa A.
name: Taylor, Jack A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: DNA methylation patterns are heritable but can change over time and in response to exposures. Lower global DNA methylation, which may result in increased genomic and chromosomal instability, has been associated with increased cancer risk. Physical activity is a modifiable factor that has been inversely related to the risk of cancer. Changes in DNA methylation may be a mechanism by which lifestyle and environment factors influence disease. We investigated the relationship between DNA methylation and physical activity in a sample of women enrolled in The Sister Study, a large U.S. cohort study of women aged 35–74 years with a family history of breast cancer.
title: The growth and characterisation of aperiodic copper thin films on the five-fold and two-fold surfaces of the icosahedral Al70Pd21Mn9 quasicrystal
Creators: name: E. Reid, Dennis
Publisher: name: University of Liverpool Repository
Year: 2023

description: This thesis is the culmination of a sustained period of work at the Surface Science Research Centre of the University of Liverpool, The Davey Laboratory at Penn State University and BL 4.1 at the Daresbury Synchrotron Radiation Facility, and represents the first time a single element quasicrystalline multi-layer thin film has been created on any quasicrystalline surface. An ultrathin film with a periodic interlayer spacing was grown by the deposition of copper atoms on the five-fold surface of the ¿-Al70Pd2iMng quasicrystal. For coverages from 5 to 25 ML, a distinctive quasiperiodic LEED pattern is observed. STM images show that the in-plane structure comprises rows having separations of S' = 4.5 ± 0.2 A and L = 7.3 ± 0.3 A, whose ratio equals r = 1.618... The sequences of such row separations form segments of terms of the Fibonacci sequence, indicating the formation of a pseudomorphic Cu film. LEED measurements performed at 85 K indicate that Cu atoms are organised periodically with a nearest neighbour distance of 2.5 ± 0.1 A along the aperiodically spaced rows. Above 8 ML spontaneous mass transport resulting in island formation has been observed by STM. These observations point to ascending adatoms being responsible for the formation of 3-D features. Flashing the multilayer film to 570 K results in the diffusion of Cu into the bulk and the formation of 5 periodic domains. The electronic structure of the clean and Cu dosed surface was also explored using Soft-XPS. Clean surface data was in good agreement with previous studies. Valence and core level data suggests that Cu dosing in the presence of oxygen leads to a different growth mode of the film. The so called ‘pseudogap’ was also found in Fermi level scans of the clean surface and this feature continued to be observed on the dosed surface at least up to a coverage of 2.6 ±1.0 ML. Finally the two-fold surface of the z-Al7oPd2iMng quasicrystal has been studied using STM, LEED and AES. Two phases are observed: a quasiperiodic phase, in agreement with previous work, and a periodic phase tentatively identified as orthorhombic. Cu deposition on the two-fold surface leads to a multilayer thin film exhibiting a quasiperiodic LEED pattern.
Precise wavefunction engineering with magnetic resonance
Creators: name: Wigley, P. B.
name: Starkey, L. M.
name: Szigeti, S. S.
name: Jasperse, M.
name: Hope, J. J.
name: Turner, L. D.
name: Anderson, R. P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Controlling quantum fluids at their fundamental length scale will yield superlative quantum simulators, precision sensors, and spintronic devices. This scale is typically below the optical diffraction limit, precluding precise wavefunction engineering using optical potentials alone. We present a protocol to rapidly control the phase and density of a quantum fluid down to the healing length scale using strong time-dependent coupling between internal states of the fluid in a magnetic field gradient. We demonstrate this protocol by simulating the creation of a single stationary soliton and double soliton states in a Bose-Einstein condensate with control over the individual soliton positions and trajectories, using experimentally feasible parameters. Such states are yet to be realized experimentally, and are a path towards engineering soliton gases and exotic topological excitations.
description: 8+ pages, 3 figures; revised parameters and added section about optimisation of adiabatic, finite-duration pulses and analytic resolution limit
Fannie Mae's National Housing Survey Monthly Home Purchase Sentiment Index (HPSI) and Key Indicators - March, 2024 (a subset of the complete monthly Fannie Mae National Housing Survey)
Creators: name: Foundation, Fannie Mae
Publisher: name: Roper Center for Public Opinion Research
Year: 2024

description: Economy on right or wrong track (3); personal financial situation (1); good or bad time to buy a house (3); good or bad time to sell a house (3); expect to move (1); direction house prices will go (3); direction rental prices will go (3); direction mortgage rates will go (1); difficulty getting a mortgage (1); home ownership (2).
Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration
Creators: name: Schully, Sheri D.
name: Grimshaw, Jeremy M.
name: Janes, Holly
name: Wright, Caroline F.
name: Gwinn, Marta
name: Freedman, Andrew N.
name: O’Donnell, Christopher J.
name: Fortier, Isabel
name: Pencina, Michael J.
name: Melillo, Stephanie
name: Dolan, Siobhan M.
name: van Duijn, Cornelia M.
name: Janssens, A. Cecile J. W.
name: Seminara, Daniela
name: Gulcher, Jeffrey
name: Kraft, Peter
name: Ioannidis, John P. A.
name: Winn, Deborah M.
name: Boffetta, Paolo
name: Khoury, Muin J.
name: Bedrosian, Sara
name: Dowling, Nicole
name: Little, Julian
name: Hlatky, Mark A.
name: Ransohoff, David
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: The rapid and continuing progress in gene discovery for complex diseases is fueling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by previous reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.
Data Selection to Train Machine Learning Models and Forecast Bitcoin Prices: Depth vs. Width
Creators: name: Dempere, Juan
Publisher: name: figshare
Year: 2022
Subjects: subject: 150299 Banking, Finance and Investment not elsewhere classified
subject: FOS: Economics and business
subject: 150201 Finance
subject: 150202 Financial Econometrics
subject: 150203 Financial Institutions (incl. Banking)
subject: 150205 Investment and Risk Management
subject: 150507 Pricing (incl. Consumer Value Estimation)
subject: Applied Computer Science
subject: 80108 Neural, Evolutionary and Fuzzy Computation
subject: FOS: Computer and information sciences
subject: 130203 Economics, Business and Management Curriculum and Pedagogy
subject: FOS: Educational sciences
subject: 140299 Applied Economics not elsewhere classified
subject: 140399 Econometrics not elsewhere classified
subject: 140302 Econometric and Statistical Methods
subject: Economics
subject: 149999 Economics not elsewhere classified
subject: 140207 Financial Economics
subject: 140210 International Economics and International Finance
subject: 140212 Macroeconomics (incl. Monetary and Fiscal Theory)
subject: 140213 Public Economics- Public Choice
subject: 140215 Public Economics- Taxation and Revenue
subject: 140305 Time-Series Analysis
subject: 160505 Economic Development Policy
subject: FOS: Political science
subject: 160510 Public Policy
subject: 100504 Data Communications
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Data Selection to Train Machine Learning Models and Forecast Bitcoin Prices: Depth vs. Width Abstract: This study aims to analyze the impact of data selection to train machine learning (ML) models and forecast Bitcoin prices. Specifically, we train elastic net regularization models using two datasets with almost identical total observations. One dataset emphasizes years of observations (depth) over total variables, while the second one emphasizes the number of variables (width) over years of data. Our results suggest that the dataset with more extended historical time series and fewer variables provides a lower forecasting error than the dataset with shorter time series and more variables. Our results may be helpful to practitioners looking to identify data selection strategies to train ML-based forecasting models.
Regionale Case Management-Organisation mit digitalem Ökosystem - Projektbeschreibung Kurzversion
Creators: name: Regionales Pflegekompetenzzentrum, Gesamtkonsortium
Publisher: name: Universität Osnabrück
Year: 2022
Subjects: subject: Projektbeschreibung
subject: Regionales Pflegekompetenzzentrum
subject: ReKo
subject: Case Management
subject: 360 - Soziale Probleme, Sozialdienste, Versicherungen
subject: 44.19 - Gesundheitswesen: Sonstiges

description: Der Beitrag beschreibt das Innovationsfonds-Projekt des Gemeinsamen Bundesausschusses „Regionales Pflegekompetenzzentrum – Innovationsstrategie für die Langzeitversorgung vor Ort“ (ReKo). Im Rahmen des Projektes wird untersucht, wie ein differenziertes pflegeorientiertes Case Management-System sowie ein digitales Ökosystem, zur Unterstützung der Case Management-Prozesse und der Kommunikationen zwischen den beteiligten Akteuren im System, dazu beitragen können, die Versorgungssicherheit und -qualität in eher ländlich geprägten Regionen zu verbessern.
Regionale Case Management-Organisation mit digitalem Ökosystem - Projektbeschreibung Langversion
Creators: name: Regionales Pflegekompetenzzentrum, Gesamtkonsortium
Publisher: name: Universität Osnabrück
Year: 2022
Subjects: subject: Regionales Pflegekompetenzzentrum
subject: Projektbeschreibung
subject: Case Management
subject: ReKo
subject: 360 - Soziale Probleme, Sozialdienste, Versicherungen
subject: 44.19 - Gesundheitswesen: Sonstiges

description: Der Beitrag beschreibt das Innovationsfonds-Projekt des Gemeinsamen Bundesausschusses „Regionales Pflegekompetenzzentrum – Innovationsstrategie für die Langzeitversorgung vor Ort“ (ReKo). Im Rahmen des Projektes wird untersucht, wie ein differenziertes pflegeorientiertes Case Management-System sowie ein digitales Ökosystem, zur Unterstützung der Case Management-Prozesse und der Kommunikationen zwischen den beteiligten Akteuren im System, dazu beitragen können, die Versorgungssicherheit und -qualität in eher ländlich geprägten Regionen zu verbessern.
An iterative method for reference pattern selection in high resolution electron backscatter diffraction (HR-EBSD)
Creators: name: Koko, Abdalrhaman
name: Tong, Vivian
name: Wilkinson, Angus J.
name: Marrow, T. James
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: For high (angular) resolution electron backscatter diffraction (HR-EBSD), the selection of a reference diffraction pattern (EBSP0) significantly affects the precision of the calculated strain and rotation maps. This effect was demonstrated in plastically deformed body-centred cubic and face-centred cubic ductile metals (ferrite and austenite grains in duplex stainless steel) and brittle single-crystal silicon, which showed that the effect is not only limited to measurement magnitude but also spatial distribution. An empirical relationship was then identified between the cross-correlation parameter and angular error, which was used in an iterative algorithm to identify the optimal reference pattern that maximises the precision of HR-EBSD.
Άγιος Γεννάδιος Σχολάριος και Αυτοκρατορική Εξουσία: Σπουδή στην Αλληλογραφία του
Creators: name: Μπαλόμπας, Στυλιανός Βασιλείου
Publisher: name: Aristotle University of Thessaloniki
Year: 2023
Subjects: Άγιος Γεννάδιος Σχολάριος
Αυτοκρατορική Εξουσία
Αλληλογραφία
Saint Gennadios Scholar
Imperial Power
Correspondence

description: Στην παρούσα μεταπτυχιακή διπλωματική εργασία γίνεται η προσπάθεια παρουσίασης του τρόπου πρόσληψης της Αυτοκρατορικής Εξουσίας και του ρόλου της μέσα στην ιστορία της Θείας Οικονομίας με βάση το επιστολογραφικό έργο του Αγίου Γενναδίου (Γεωργίου) Σχολαρίου. Μέσω του επιστολογραφικού αυτού corpus αναδεικνύονται όλα εκείνα τα στοιχεία που χαρακτηρίζουν την Αυτοκρατορική Εξουσία της εποχής και πως αυτά προσλαμβάνονται στην επιστολογραφία του Σχολαρίου. Η εργασία αυτή καλύπτει ερευνητικά τα έτη 1430 έως και το 1453, όταν η Βυζαντινή αυτοκρατορία καταλύεται ολοσχερώς από τον Σουλτάνο Μεχμέτ Β΄ Πορθητή και τους Οθωμανούς Τούρκους. Η εργασία ακολουθεί την κειμενοκεντρική μέθοδο κυρίως, καθώς επιζητά να εξάγει μέσα από τα κείμενα τις αντιλήψεις του Αγίου Γενναδίου για τον ρόλο του αυτοκράτορα και της κρατικής εξουσίας στο μυστήριο της Θείας Οικονομίας. Παράλληλα με την χρήση της πρωτογενούς βιβλιογραφίας γίνεται χρήση δευτερογενών πηγών και βοηθημάτων, τα οποία βοηθούν στην περιγραφή της περιρρέουσας ατμόσφαιρας της ταραχώδους και διαταραγμένης εποχής στα μέσα του 15ου αιώνα.
description: This postgraduate thesis attempts to present the way the Imperial Authority was received and its role in the history of Divine Economy, based on the epistolary work of Saint Gennadius (George) Scholarius. Through this epistolary corpus, all the elements that characterize the Imperial Authority of the time and how they are perceived in Scholarius' letters are highlighted. This work covers the years 1430 to 1453, when the Byzantine Empire was completely dissolved by Sultan Mehmed II the Conqueror and the Ottoman Turks. The work follows a text-centered method mainly, as it seeks to extract from the texts Saint Gennadius' perceptions of the role of the emperor and the state authority in the mystery of Divine Economy. Along with the use of primary sources, secondary sources and aids are also used, which help describe the surrounding atmosphere of the turbulent and disturbed era in the mid-15th century.
Development of international criteria for a front of package food labelling system: the International Choices Programme
Creators: name: Roodenburg, A J C
name: Popkin, B M
name: Seidell, J C
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Background:A global push to reduce the amount of saturated and trans-fatty acids, added salt and sugar in processed food, and to enhance fruit, vegetable and whole grain intake, while limiting energy intake, exists for most populations.Objectives:To redesign the International Choices Program (note: this is unrelated to the US Smart Choices Program), initially Netherlands focused, by an international board of scientists to create a generic, global front-of-pack nutrition logo system that helps consumers make healthier food choices and stimulates product reformulation.Methods:The Programme is a product-group-specific-nutrient-profiling approach with a distinction between basic and discretionary foods. The basic product groups are main contributors of essential and beneficial nutrients, and are based on food-based dietary guidelines from more than 20 countries across the globe. Generic criteria are derived from international nutrient recommendations for trans-fatty acids, saturated fatty acids, sodium, added sugar, fibre and energy, and evaluated against food composition data from 12 countries across Europe and market reality (actual foods on the market). Selected debates such as the source of fibre are also presented.Results:Generic criteria and a decision framework were developed to further define food categories, so as to meet the unique country- and region-specific dietary needs. The result is a complete set of criteria that is evaluated on a regular basis to ensure its alignment with international dietary patterns, new scientific insights and current developments within the food market.Conclusions:These guidelines are currently used in a number of countries across the globe, and are being evaluated for effectiveness. Completed studies have demonstrated an increase in consumer awareness, a positive effect on product innovation and a potential impact on nutrient intakes.
Interatomic potentials for ionic systems with density functional accuracy based on charge densities obtained by a neural network
Creators: name: Ghasemi, S. Alireza
name: Hofstetter, Albert
name: Saha, Santanu
name: Goedecker, Stefan
Publisher: name: arXiv
Year: 2015
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Based on an analysis of the short range chemical environment of each atom in a system, standard machine learning based approaches to the construction of interatomic potentials aim at determining directly the central quantity which is the total energy. This prevents for instance an accurate description of the energetics of systems where long range charge transfer is important as well as of ionized systems. We propose therefore not to target directly with machine learning methods the total energy but an intermediate physical quantity namely the charge density, which then in turn allows to determine the total energy. By allowing the electronic charge to distribute itself in an optimal way over the system, we can describe not only neutral but also ionized systems with unprecedented accuracy. We demonstrate the power of our approach for both neutral and ionized NaCl clusters where charge redistribution plays a decisive role for the energetics. We are able to obtain chemical accuracy, i.e. errors of less than a milli Hartree per atom compared to the reference density functional results. The introduction of physically motivated quantities which are determined by the short range atomic environment via a neural network leads also to an increased stability of the machine learning process and transferability of the potential.
description: 4 figures
title: Digitalization change during COVID in industries like education, logistics and healthcare
Creators: name: Al-Kassawneh, Mohammad
Publisher: name: TU Wien
Year: 2022
Subjects: subject: COVID-19
subject: Digital Transformation
subject: Middle East & North Africa (MENA)
subject: Logistics
subject: Education
subject: Healthcare

description: The outbreak of COVID-19 has impacted the methods of working, economy and infrastructure of industries on a global scale. Due to lockdowns all of the industries were forced to work from home which caused problems for industries that were unaware of the digital platforms before. However, the increase in digitalization of the industrial world posed more positive impacts like never before. It not only helped businesses cut costs and speed up their business activities but also provided them with a more flexible working environment. This research focuses on how the increase in digitalization impacted the logistics, education and healthcare organizations in the Middle East and North Africa. The findings of the survey analysis that we conducted in this research implies that COVID-19 revolutionized the way of working all over the globe. We found out that the digitalization of logistics improved primary production, supply chain management and helped optimizethe efficient use of scarce resources. Digital healthcare system enhanced the accessibility,reduced costs and helped healthcare professionals to make medicines more personalized for the patients. In the education sector however, it was difficult to adapt to the new online meeting platforms but gradually, the digital learning environment proved beneficial as perour findings. All of these three industries play a significant role in transportation,wellbeing of individuals and the maintenance of a good lifestyle. Digitalization helped organizations to sell their products and conduct their activities in a better and more productive manner. Consequently, the digitalized world is being given importance even after the COVID-19 outbreak. However, it had some negative impacts on the mental health of employees which should be taken care of by the employers.
Nutrition transition in the United Arab Emirates
Creators: name: Zaghloul, S
name: Ng, S W
name: Ali, H
name: Harrison, G
name: Popkin, B M
name: El Sadig, M
name: Yeatts, K
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: The UAE has undergone remarkable economic and social transformations over the past few decades. We present findings on the prevalence of overweight and obesity, dietary and activity patterns among Emiratis in 2009/10, and explore associated urbanization and wealth factors.
Monocular Depth Decomposition of Semi-Transparent Volume Renderings
Creators: name: Engel, Dominik
name: Hartwig, Sebastian
name: Ropinski, Timo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Neural networks have shown great success in extracting geometric information from color images. Especially, monocular depth estimation networks are increasingly reliable in real-world scenes. In this work we investigate the applicability of such monocular depth estimation networks to semi-transparent volume rendered images. As depth is notoriously difficult to define in a volumetric scene without clearly defined surfaces, we consider different depth computations that have emerged in practice, and compare state-of-the-art monocular depth estimation approaches for these different interpretations during an evaluation considering different degrees of opacity in the renderings. Additionally, we investigate how these networks can be extended to further obtain color and opacity information, in order to create a layered representation of the scene based on a single color image. This layered representation consists of spatially separated semi-transparent intervals that composite to the original input rendering. In our experiments we show that existing approaches to monocular depth estimation can be adapted to perform well on semi-transparent volume renderings, which has several applications in the area of scientific visualization, like re-composition with additional objects and labels or additional shading.
description: accepted at IEEE TVCG 2023
ALD 23/24 Master Thesis Booklet
Creators: name: federico, favero
Publisher: name: Zenodo
Year: 2024

description: This booklet resumes the 34 individual Master thesis projects  in the Architectural Lighting Design Programme, 60 ECTS, offered by KTH Lighting Design, a division of KTH Royal Institute of Technology.

The students developed self-formulated research question in the lighting design field that touch the topics presented in the next pages. Sustainability is at the core of the activities of the Lighting Design division and of KTH. Each thesis needed to address at least one of the 17 goals promoted by the United Nations in the 2030 Agenda for Sustainable Development (https://sdgs.un.org/goals).

Enjoy reading!
Superconducting properties of sulfur-doped iron selenide
Creators: name: Abdel-Hafiez, Mahmoud
name: Zhang, Yuan-Yuan
name: Cao, Zi-Yu
name: Duan, Chun-Gang
name: Karapetrov, G.
name: Pudalov, V. M.
name: Vlasenko, V. A.
name: Chareev, D. A.
name: Volkova, O. S.
name: Vasiliev, A. N.
name: Chen, Xiao-Jia
Publisher: name: arXiv
Year: 2015
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The recent discovery of high-temperature superconductivity in single-layer iron selenide has generated significant experimental interest for optimizing the superconducting properties of iron-based superconductors through the lattice modification. For simulating the similar effect by changing the chemical composition due to S doping, we investigate the superconducting properties of high-quality single crystals of FeSe$_{1-x}$S$_{x}$ ($x$=0, 0.04, 0.09, and 0.11) using magnetization, resistivity, the London penetration depth, and low temperature specific heat measurements. We show that the introduction of S to FeSe enhances the superconducting transition temperature $T_{c}$, anisotropy, upper critical field $H_{c2}$, and critical current density $J_{c}$. The upper critical field $H_{c2}(T)$ and its anisotropy are strongly temperature dependent, indicating a multiband superconductivity in this system. Through the measurements and analysis of the London penetration depth $λ_{ab}(T)$ and specific heat, we show clear evidence for strong coupling two-gap $s$-wave superconductivity. The temperature-dependence of $λ_{ab}(T)$ calculated from the lower critical field and electronic specific heat can be well described by using a two-band model with $s$-wave-like gaps. We find that a $d$-wave and single-gap BCS theory under the weak-coupling approach can not describe our experiments. The change of specific heat induced by the magnetic field can be understood only in terms of multiband superconductivity.
description: 13 pages, 7 figures
Noncommutative geometry and stochastic processes
Creators: name: Frasca, Marco
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The recent analysis on noncommutative geometry, showing quantization of the volume for the Riemannian manifold entering the geometry, can support a view of quantum mechanics as arising by a stochastic process on it. A class of stochastic processes can be devised, arising as fractional powers of an ordinary Wiener process, that reproduce in a proper way a stochastic process on a noncommutative geometry. These processes are characterized by producing complex values and so, the corresponding Fokker-Planck equation resembles the Schroedinger equation. Indeed, by a direct numerical check, one can recover the kernel of the Schroedinger equation starting by an ordinary Brownian motion. This class of stochastic processes needs a Clifford algebra to exist. In four dimensions, the full set of Dirac matrices is needed and the corresponding stochastic process in a noncommutative geometry is easily recovered as is the Dirac equation in the Klein-Gordon form being it the Fokker--Planck equation of the process.
description: 16 pages, 2 figures. Updated a reference. A version of this paper will appear in the proceedings of GSI2017, Geometric Science of Information, November 7th to 9th, Paris (France)
Many-Body Contributions in Water Nano-Clusters
Creators: name: Abella, David
name: Franzese, Giancarlo
name: Hernández-Rojas, Javier
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Many-body interactions in water are known to be important but difficult to treat in atomistic models and often are included only as a correction. Polarizable models treat them explicitly, with long-range many-body potentials, within their classical approximation. However, their calculation is computationally expensive. Here, we evaluate how relevant the contributions to the many-body interaction associated with different coordination shells are. We calculate the global energy minimum, and the corresponding configuration, for nano-clusters of up to 20 water molecules. We find that including the first coordination shell, i.e., the five-body term of the central molecule, is enough to approximate within 5% the global energy minimum and its structure. We show that this result is valid for three different polarizable models, the Dang-Chang, the MB-pol, and the Kozack-Jordan potentials. This result suggests a strategy to develop many-body potentials for water that are reliable and, at the same time, computationally efficient.
description: 18 pages, 5 figures
Krücken: Die Diskussion um die Frauenquote - jetzt auch in der CDU
Creators: name: Foitzik, Alexander
Publisher: name: Herder Korrespondenz
Year: 1970

description: Herder Korrespondenz, Bd. 48 Nr. 12 (1994): Herder Korrespondenz, Band 48, Heft 12
Beverage consumption among European adolescents in the HELENA study
Creators: name: González-Gross, M
name: De Vriendt, T
name: Dallongeville, J
name: De Henauw, S
name: Widhalm, K
name: Popkin, B M
name: Kersting, M
name: Libuda, L
name: Duffey, K J
name: Mouratidou, T
name: Huybrechts, I
name: Moreno, L A
name: Hallström, L
name: Gottrand, F
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Our objective was to describe the fluid and energy consumption of beverages in a large sample of European adolescents
Estimation of Large Covariance and Precision Matrices from Temporally Dependent Observations
Creators: name: Shu, Hai
name: Nan, Bin
Publisher: name: arXiv
Year: 2014
Subjects: subject: Statistics Theory (math.ST)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We consider the estimation of large covariance and precision matrices from high-dimensional sub-Gaussian or heavier-tailed observations with slowly decaying temporal dependence. The temporal dependence is allowed to be long-range so with longer memory than those considered in the current literature. We show that several commonly used methods for independent observations can be applied to the temporally dependent data. In particular, the rates of convergence are obtained for the generalized thresholding estimation of covariance and correlation matrices, and for the constrained $\ell_1$ minimization and the $\ell_1$ penalized likelihood estimation of precision matrix. Properties of sparsistency and sign-consistency are also established. A gap-block cross-validation method is proposed for the tuning parameter selection, which performs well in simulations. As a motivating example, we study the brain functional connectivity using resting-state fMRI time series data with long-range temporal dependence.
description: The result for banding estimator of covariance matrix is given in the version 2 of this article. See arXiv:1412.5059v2
Ramsey Algebra and the Existence of Idempotent Ultrafilters
Creators: name: Teh, Wen Chean
Publisher: name: arXiv
Year: 2015
Subjects: subject: Logic (math.LO)
subject: FOS: Mathematics
subject: 05A17, 05D10, 03E05

description: Hindman's Theorem says that every finite coloring of the positive natural numbers has a monochromatic set of finite sums. Ramsey algebras, recently introduced, are structures that satisfy an analogue of Hindman's Theorem. It is an open problem posed by Carlson whether every Ramsey algebra has an idempotent ultrafilter. This paper developes a general framework to study idempotent ultrafilters. Under certain countable setting, the main result roughly says that every nondegenerate Ramsey algebra has a nonprincipal idempotent ultrafilter in some nontrivial countable field of sets. This amounts to a positive result that addresses Carlson's question in some way.
description: 15 pages. Under review
High-resolution spectroscopy of a single nitrogen-vacancy defect at zero magnetic field
Creators: name: Kumar, Shashank
name: Dubey, Pralekh
name: Bhadade, Sudhan
name: Naliyapara, Jemish
name: Saha, Jayita
name: Peddibhotla, Phani
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We report a study of high-resolution microwave spectroscopy of nitrogen-vacancy centers in diamond crystals at and around zero magnetic field. We observe characteristic splitting and transition imbalance of the hyperfine transitions, which originate from level anti-crossings in the presence of a transverse effective field. We use pulsed electron spin resonance spectroscopy to measure the zero-field spectral features of single nitrogen-vacancy centers for clearly resolving such level anti-crossings. To quantitatively analyze the magnetic resonance behavior of the hyperfine spin transitions in the presence of the effective field, we present a theoretical model, which describes the transition strengths under the action of an arbitrarily polarized microwave magnetic field. Our results are of importance for the optimization of the experimental conditions for the polarization-selective microwave excitation of spin-1 systems in zero or weak magnetic fields.
Ethnicity, plasma phospholipid fatty acid composition and inflammatory/endothelial activation biomarkers in the Multi-Ethnic Study of Atherosclerosis (MESA)
Creators: name: Liu, K
name: Hanson, N Q
name: Tracy, R
name: Jacobs, D
name: Tsai, M Y
name: Siscovick, D
name: He, K
name: Steffen, L M
name: Nettleton, J A
name: Steffen, B T
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: It has been recognized that certain long-chain polyunsaturated fatty acids (LC-PUFAs) are involved in inflammation and its resolution. It has also been shown that ethnicity may be a factor in affecting systemic inflammation, and limited evidence suggests it may influence plasma LC-PUFA composition. Given the links among these three factors, we aim to determine ethnicity-based differences in plasma LC-PUFA composition among White, Black, Hispanic and Chinese participants, and whether such differences contribute to variations in markers of inflammation and endothelial activation in a sub-cohort of the Multi-Ethnic Study of Atherosclerosis (MESA).
Search for MeV Electron Recoils from Dark Matter in EXO-200
Creators: name: 200 Collaboration
name: Kharusi, S. Al
name: Anton, G.
name: Badhrees, I.
name: Barbeau, P. S.
name: Beck, D.
name: Belov, V.
name: Bhatta, T.
name: Breidenbach, M.
name: Brunner, T.
name: Cao, G. F.
name: Cen, W. R.
name: Chambers, C.
name: Cleveland, B.
name: Coon, M.
name: Craycraft, A.
name: Daniels, T.
name: Darroch, L.
name: Daugherty, S. J.
name: Davis, J.
name: Delaquis, S.
name: Der Mesrobian-Kabakian, A.
name: DeVoe, R.
name: Dilling, J.
name: Dolgolenko, A.
name: Dolinski, M. J.
name: Echevers, J.
name: Fairbank, W.
name: Fairbank, D.
name: Farine, J.
name: Feyzbakhsh, S.
name: Fierlinger, P.
name: Fu, Y. S.
name: Fudenberg, D.
name: Gautam, P.
name: Gornea, R.
name: Gratta, G.
name: Hall, C.
name: Hansen, E. V.
name: Hoessl, J.
name: Hufschmidt, P.
name: Hughes, M.
name: Iverson, A.
name: Jamil, A.
name: Jessiman, C.
name: Jewell, M. J.
name: Johnson, A.
name: Karelin, A.
name: Kaufman, L. J.
name: Koffas, T.
name: Krücken, R.
name: Kuchenkov, A.
name: Kumar, K. S.
name: Lan, Y.
name: Larson, A.
name: Lenardo, B. G.
name: Leonard, D. S.
name: Li, G. S.
name: Li, S.
name: Li, Z.
name: Licciardi, C.
name: Lin, Y. H.
name: MacLellan, R.
name: McElroy, T.
name: Michel, T.
name: Mong, B.
name: Moore, D. C.
name: Murray, K.
name: Njoya, O.
name: Nusair, O.
name: Odian, A.
name: Ostrovskiy, I.
name: Perna, A.
name: Piepke, A.
name: Pocar, A.
name: Retière, F.
name: Robinson, A. L.
name: Rowson, P. C.
name: Ruddell, D.
name: Runge, J.
name: Schmidt, S.
name: Sinclair, D.
name: Skarpaas, K.
name: Soma, A. K.
name: Stekhanov, V.
name: Tarka, M.
name: Thibado, S.
name: Todd, J.
name: Tolba, T.
name: Totev, T. I.
name: Tsang, R. H. M.
name: Veenstra, B.
name: Veeraraghavan, V.
name: Vogel, P.
name: Vuilleumier, J. -L.
name: Wagenpfeil, M.
name: Watkins, J.
name: Wen, L. J.
name: Wichoski, U.
name: Wrede, G.
name: Wu, S. X.
name: Xia, Q.
name: Yahne, D. R.
name: Yang, L.
name: Yen, Y. -R.
name: Zeldovich, O. Ya.
name: Ziegler, T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: We present a search for electron-recoil signatures from the charged-current absorption of fermionic dark matter using the EXO-200 detector. We report an average electron recoil background rate of $6.8 \times 10^{-4}\, \mathrm{cts}\,\mathrm{kg}^{-1}\mathrm{yr}^{-1}\mathrm{keV}^{-1}$ above $4\,\mathrm{MeV}$ and find no statistically significant excess over our background projection. Using a total ${}^{136}\mathrm{Xe}$ exposure of $234.1\,\mathrm{kg}\,\mathrm{yr}$ we exclude new parameter space for the charged-current absorption cross-section for dark matter masses between $m_χ= 2.6\,\mathrm{MeV} - 11.6\,\mathrm{MeV}$ with a minimum of $6\times 10^{-51}\,\mathrm{cm}^2$ at $8.3\,\mathrm{MeV}$ at the $90\%$ confidence level.
description: 9 pages, 6 figures, 1 table
Interface observation of heat-treated Co/Mo2C multilayers
Creators: name: Yuan, Yanyan
name: Guen, Karine Le
name: André, Jean-Michel
name: Mény, Christian
name: Ulhaq, Corinne
name: Galtayries, Anouk
name: Zhu, Jingtao
name: Wang, Zhanshan
name: Jonnard, Philippe
Publisher: name: arXiv
Year: 2015
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We study the interface evolution of a series of periodic Co/Mo2C multilayers as a function of the annealing temperature up to 600{\textdegree}C. Different complementary techniques are implemented to get information on the phenomenon taking place at the interfaces of the stack. The periodical structure of Co/Mo2C multilayer is proven by Time-of-flight secondary ion mass spectrometry (ToF-SIMS) depth profiles which demonstrate the formation of an oxide layer at both air/stack and stack/substrate interfaces. From Nuclear magnetic resonance (NMR) spectra, we observed the intermixing phenomenon of Co and C atoms for the as-deposited sample, and then at annealing temperature above 300{\textdegree}C Co and C atoms separate from their mixed regions. Comparison of NMR results between Co/Mo 2 C and Co/C references confirms this phenomenon. This is in agreement with x-ray emission spectroscopy (XES) measurements. Furthermore the calculation of the Co-C, Co-Mo and Mo-C mixing enthalpy using Miedema's model gives a proof of the demixing of Co and C atoms present within the stacks above 300{\textdegree}C. From the transmission electron microscopy (TEM) analysis, we found the presence of some crystallites within the as-deposited sample as well as the mainly amorphous nature of all layers. This is confirmed using x-ray diffraction (XRD) patterns which also demonstrate the growth of crystallites induced upon annealing.
description: Published in Applied Surface Science 331, 8-16 (2015). http://dx.doi.org/10.1016/j.apsusc.2014.12.055
The interplay between human germline specification and pluripotency factors
Creators: name: Murison, Keir
Publisher: name: Imperial College London
Year: 2024

description: Pluripotency is regulated by transcription factors (TF) that maintain this cell state. In mouse, the same core pluripotency factors; Oct4, Nanog and Sox2 are expressed in the germline. The expression of these allows for the reversion of primordial germ cells (PGCs), founders of the gametes, into a pluripotent state in vitro. Human primordial germ cells (PGCs) express OCT4 and NANOG but repress SOX2 and upregulate SOX17. Reports of similar conversion of human primordial germ cell-like cells (PGCLCs) or human germline tumours into a pluripotent state, in vivo or in vitro, require the downregulation of SOX17 and upregulation of SOX2. I hypothesised that overexpression of SOX2 within hPGCLCs might destabilise the germline network and trigger entry into a pluripotent state. I wanted to observe the effect of overexpression of other pluripotency related transcription factors (TFs), NANOG and KLF2, on germ cell-like cells. To track entry into pluripotency, I utilised a cell line containing a reporter for endogenous SOX2 expression. A set of plasmids that overexpress the different pluripotency TFs of interest were transfected into the SOX2 reporter cells. These cell lines were then used to generate an in vitro cell type that resembles early human PGCs, called hPGC-like cells (hPGCLCs). The TFs could be activated and overexpressed at different points of the hPGCLC induction protocol and evidence of SOX2 re-activation could be observed. I observed that SOX2 overexpression could not activate the endogenous SOX2 gene in any conditions studied, suggesting a dominant mechanism of repression probably mediated by BMP4 signalling. SOX2 could block entry into germline fate when overexpression was initiated at the point of hPGCLC induction but had no effect when triggered after induction. The other TF cell lines showed a failure to activate overexpression in the hPGCLC state, suggesting the inserted cassettes were silenced in hPGCLCs.
Higher moments of the natural parameterization for SLE curves
Creators: name: Rezaei, Mohammad A.
name: Zhan, Dapeng
Publisher: name: arXiv
Year: 2014
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: In this paper, we will show that the higher moments of the natural parametrization of SLE curves in any bounded domain in the upper half plane is finite. We prove this by estimating the probability that an SLE curve gets near n given points.
description: 23 pages, 5 figures
Learning to Increase the Power of Conditional Randomization Tests
Creators: name: Shaer, Shalev
name: Romano, Yaniv
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The model-X conditional randomization test is a generic framework for conditional independence testing, unlocking new possibilities to discover features that are conditionally associated with a response of interest while controlling type-I error rates. An appealing advantage of this test is that it can work with any machine learning model to design powerful test statistics. In turn, the common practice in the model-X literature is to form a test statistic using machine learning models, trained to maximize predictive accuracy with the hope to attain a test with good power. However, the ideal goal here is to drive the model (during training) to maximize the power of the test, not merely the predictive accuracy. In this paper, we bridge this gap by introducing, for the first time, novel model-fitting schemes that are designed to explicitly improve the power of model-X tests. This is done by introducing a new cost function that aims at maximizing the test statistic used to measure violations of conditional independence. Using synthetic and real data sets, we demonstrate that the combination of our proposed loss function with various base predictive models (lasso, elastic net, and deep neural networks) consistently increases the number of correct discoveries obtained, while maintaining type-I error rates under control.