cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Resonant Charge Relaxation as a Likely Source of the Enhanced Thermopower in FeSi
Creators: name: Sun, Peijie
name: Wei, Beipei
name: Menzel, Dirk
name: Steglich, Frank
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The enhanced thermopower of the correlated semiconductor FeSi is found to be robust against the sign of the relevant charge carriers. At $T$\,$\approx$\,70 K, the position of both the high-temperature shoulder of the thermopower peak and the nonmagnetic-enhanced paramagnetic crossover, the Nernst coefficient $ν$ assumes a large maximum and the Hall mobility $μ_H$ diminishes to below 1 cm$^2$/Vs. These cause the dimension-less ratio $ν$/$μ_H$ $-$ a measure of the energy dispersion of the charge scattering time $τ(ε)$ $-$ to exceed that of classical metals and semiconductors by two orders of magnitude. Concomitantly, the resistivity exhibits a hump and the magnetoresistance changes its sign. Our observations hint at a resonant scattering of the charge carriers at the magnetic crossover, imposing strong constraints on the microscopic interpretation of the robust thermopower enhancement in FeSi.
description: 5 pages, 3 figures
On the Hilbert Geometry of Convex Polytopes
Creators: name: Vernicos, Constantin
Publisher: name: arXiv
Year: 2014
Subjects: subject: Metric Geometry (math.MG)
subject: FOS: Mathematics

description: We survey the Hilbert geometry of convex polytopes. In particular we present two important characterisations of these geometries, the first one in terms of the volume growth of their metric balls, the second one as a bi-lipschitz class of the simplexe's geometry.
description: To appear in the Handbook on Hilbert geometry edited by G. Besson, A. Papadopoulos and M. Troyanov
The importance of investigating causative factors and training data selection for accurate landslide susceptibility assessment: the case of Ain Lahcen commune (Tetouan, Northern Morocco)
Creators: name: Bounab, Ali
name: Agharroud, Kamal
name: Kharim, Younes El
name: Hamdouni, Rachid El
name: Faghloumi, Layachi
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy

description: Landslide susceptibility maps (LSMs) rely on statistical association for weighting the impact of each predictive factor class. However, the effects of using different training datasets and causative factors combinations on the accuracy of the results are rarely discussed. Accordingly, we investigated the effects of training data and computation technique selection on the accuracy and performance of LSMs. Results show that including relict landslides in the training data diminishes the accuracy of the LSMs compared to models that exclude such processes from the input. As for the effect of choosing different combinations of predictive variables, it was shown to be less significant. After investigating association and causality between predictive variables, the best performing models produced using frequency ratio and logistic regression tend to be more accurate than those including all variables. As for the artificial neural networks, it seems to outperform other models. Indeed, such investigations are beneficial for improving LSMs.
TA’LIM MUASSASALARIDA HUQUQIY TA’LIM-TARBIYANING ZARURATI
Creators: name: Farhodjon Anvarjon Ogli Ibrohimov
Publisher: name: Academic research in educational sciences
Year: 2020
Subjects: huquqiy xulq-atvor
huquqiy nigilizm va idealizm
ta’lim
tarbiya
kreativ metodlar
huquq va burch
fuqarolik burchi
huquqiy madaniyat

description: Maqolada oliy ta’lim tizimida huquqiy talimning ahamiyati va uning zarurligi so`nggi islohotlar misolida tushuntirilgan. Yurtimizda tom ma’nodagi huquqiy demokratik davlat – aynan yosh kadrlarimizning huquqiy madaniyati darjasiga bevosita bog`liqligi ochib berilgan.
title: HOW TO APPROACH LIVER TUMORS WITH CENTRAL SCAR: an illustrated CT and MRI guide
Creators: name: Ciocan, Madalina Ioana
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Liver
subject: Abdomen
subject: Contrast agents
subject: CT
subject: MR
subject: Computer Applications-General
subject: Computer Applications-Detection, diagnosis
subject: Contrast agent-intravenous
subject: Neoplasia
subject: Haemangioma
subject: Hyperplasia / Hypertrophy

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: 1. To review the morphology of central scars (CS) found in different types of hepatic tumors (HT). 2. To describe and illustrate the CT and MRI patterns of this discriminatory feature found both in benign and malignant pathologies. 3. To synthesize...
The Role of Source Delocalization in the Development of Morphogen Gradients
Creators: name: Teimouri, Hamid
name: Kolomeisky, Anatoly B.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Successful biological development via spatial regulation of cell differentiation relies on action of multiple signaling molecules that are known as morphogens. It is now well established that signaling molecules create non-uniform concentration profiles, morphogen gradients, that activate different genes, leading to patterning in the developing embryos. The current view of the formation of morphogen gradients is that it is a result of complex reaction-diffusion processes that include the strongly localized production, diffusion and uniform degradation of signaling molecules. However, multiple experimental studies also suggest that the production of morphogen in many cases is delocalized. We develop a theoretical method that allows us to investigate the role of the delocalization in the formation of morphogen gradients. The approach is based on discrete-state stochastic models that can be solved exactly for arbitrary production lengths and production rates of morphogen molecules. Our analysis shows that the delocalization might have a strong effect on mechanisms of the morphogen gradient formation. The physical origin of this effect is discussed.
title: Diagnostic approach to incidental pulmonary nodules: make it easy!
Creators: name: Silini, Rached
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Neoplasia
subject: Education and training
subject: Cancer
subject: Structured reporting
subject: Screening
subject: Education
subject: PET-CT
subject: CT
subject: Thorax
subject: Oncology
subject: Lung

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The purpose of our educational exhibit is to: 1/ Describe different types of pulmonary nodule. 2/ Describe the conduct to adopt in the current...
First single crystal growth and structural analysis of superconducting layered bismuth oxyselenide; La(O,F)BiSe2
Creators: name: Tanaka, Masashi
name: Nagao, Masanori
name: Matsushita, Yoshitaka
name: Fujioka, Masaya
name: Denholme, Saleem J.
name: Yamaguchi, Takahide
name: Takeya, Hiroyuki
name: Takano, Yoshihiko
Publisher: name: arXiv
Year: 2014
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Single crystal of La(O,F)BiSe2 was successfully grown for the first time by the CsCl flux method. Single crystal X-ray structural analysis clearly showed that La(O,F)BiSe2 crystalizes with space group P4/nmm (lattice parameters a = 4.1408(2) Å, c = 14.1096(6) Å). The structure is composed of alternating BiSe2 and LaO layers. Magnetic susceptibility and resistivity measurements showed the superconducting transition at 3.6 K, which is higher than that of as-grown La(O,F)BiS2. The structural analysis implies that La(O,F)BiSe2 is potential superconductor having higher Tc under high pressure.
description: 19 pages, 4 figures, 3 tables
Gender and Precarity in Astronomy
Creators: name: Webb, N. A.
name: Bot, C.
name: Charpinet, S.
name: Contini, T.
name: Jouve, L.
name: Meheut, H.
name: Mei, S.
name: Mosser, B.
name: Soucail, G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Following the survey Well-being in astrophysics that was sent out in March 2021, to establish how astrophysics researchers, primarily in France, experience their career, some of the results were published in Webb et al. (2021). Here we further analyse the data to determine if gender can cause different experiences in astrophysics. We also study the impact on the well-being of temporary staff (primarily PhD students and postdocs), compared to permanent staff. Whilst more temporary staff stated that they felt permanently overwhelmed than permanent staff, the experiences in astrophysics for the different genders were in general very similar, except in one area. More than three times more females than males experienced harassment or discrimination, rising sharply for gender discrimination and sexual harassment, where all of those having experienced sexual harassment and who had provided their gender in the survey, were female. Further, as previously reported (Webb et al. 2021), 20% of the respondents had suffered mental health issues before starting their career in astrophysics. We found that whilst this group was split approximately equally with regards to males and females, the number rose sharply to almost 45% of astronomers experiencing mental health issues since starting in astrophysics. Of this population, there were 50% more females than males. This excess of females was almost entirely made up of the population of women that had been harassed or discriminated against.
description: 5 pages, 1 figure, published in the SF2A-2022: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics. Eds.: J. Richard, A. Siebert, E. Lagadec, N. Lagarde, O. Venot, J. Malzac, J.-B. Marquette, M. N'Diaye, D. Briot, pp.171-175
Disformal transformation of cosmological perturbations
Creators: name: Minamitsuji, Masato
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We investigate the gauge-invariant cosmological perturbations in the gravity and matter frames in the general scalar-tensor theory where two frames are related by the disformal transformation. The gravity and matter frames are the extensions of the Einstein and Jordan frames in the scalar-tensor theory where two frames are related by the conformal transformation, respectively. First, it is shown that the curvature perturbation in the comoving gauge to the scalar field is disformally invariant as well as conformally invariant, which gives the predictions from the cosmological model where the scalar field is responsible both for inflation and cosmological perturbations. Second, in case that the disformally coupled matter sector also contributes to curvature perturbations, we derive the evolution equations of the curvature perturbation in the uniform matter energy density gauge from the energy (non)conservation in the matter sector, which are independent of the choice of the gravity sector. While in the matter frame the curvature perturbation in the uniform matter energy density gauge is conserved on superhorizon scales for the vanishing nonadiabatic pressure, in the gravity frame it is not conserved even if the nonadiabatic pressure vanishes. The formula relating two frames gives the amplitude of the curvature perturbation in the matter frame, once it is evaluated in the gravity frame.
description: 15 pages
Urban livability index assessment based on land-use changes in an Indian medium-sized city (Raiganj)
Creators: name: Basu, Tirthankar
name: Das, Arijit
name: Pereira, Paulo
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Improvement of a city’s liveability, especially in developing countries, is increasingly viewed as a way to enhance city dwellers’ quality of life. This study applied remote sensing and GIS-based techniques to assess urban livability conditions based on the World Health Organization guidelines. For this, 21 fine-grained spatial indicators were selected, and a geographically weighted principal component analysis was applied to evaluate the spatial pattern of urban livability in Raiganj. The results showed that the city’s central and eastern part had a livability index score over 0.75 (5.31 km2 area) appeared as the most livable. The southwestern part of the city was the least livable. Finally, the predicted Land Use Land Cover for 2025 in Raiganj based on the Multilayer Perceptron Neural Network-Markov Chain showed that the city (+19.50%) will expand mainly in the eastern direction at the expense of green and blue spaces.
title: Perivertebral space imaging: what to say in the report
Creators: name: Fernández Gajardo, JULIO AMBROSIO
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Cancer
subject: Diagnostic procedure
subject: MR
subject: CT
subject: Neuroradiology brain

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: Describe anatomy of perivertebral space on CT and MRI. Describe the differential diagnosis in perivertebral space along with imaging features. Know the imaging findings that can help the surgeon to change the therapeutic...
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Creators: name: Dellaferrera, Giorgia
name: Kreiman, Gabriel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Supervised learning in artificial neural networks typically relies on backpropagation, where the weights are updated based on the error-function gradients and sequentially propagated from the output layer to the input layer. Although this approach has proven effective in a wide domain of applications, it lacks biological plausibility in many regards, including the weight symmetry problem, the dependence of learning on non-local signals, the freezing of neural activity during error propagation, and the update locking problem. Alternative training schemes have been introduced, including sign symmetry, feedback alignment, and direct feedback alignment, but they invariably rely on a backward pass that hinders the possibility of solving all the issues simultaneously. Here, we propose to replace the backward pass with a second forward pass in which the input signal is modulated based on the error of the network. We show that this novel learning rule comprehensively addresses all the above-mentioned issues and can be applied to both fully connected and convolutional models. We test this learning rule on MNIST, CIFAR-10, and CIFAR-100. These results help incorporate biological principles into machine learning.
Exact non-Markovian master equations for multiple qubit systems: quantum trajectory approach
Creators: name: Chen, Yusui
name: You, J. Q.
name: Yu, Ting
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A wide class of exact master equations for a multiple qubit system can be explicitly constructed by using the corresponding exact non-Markovian quantum state diffusion equations. These exact master equations arise naturally from the quantum decoherence dynamics of qubit system as a quantum memory coupled to a collective colored noisy source. The exact master equations are also important in optimal quantum control, quantum dissipation and quantum thermodynamics. In this paper, we show that the exact non-Markovian master equation for a dissipative N-qubit system can be derived explicitly from the statistical average of the corresponding non-Markovian quantum trajectories. We illustrated our general formulation by an explicit construction of a three-qubit system coupled to a non-Markovian bosonic environment. This multiple qubit master equation offers an accurate time evolution of quantum systems in various domains, and paves a way to investigate the memory effect of an open system in a non-Markovian regime without any approximation.
title: Very-High-Resolution Sonography Of Median Nerve: A Comparative Study Vs High-Resolution Sonography In Healthy Subjects
Creators: name: Vitali, Saverio
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Image verification
subject: Comparative studies
subject: Ultrasound
subject: Neuroradiology peripheral nerve

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The use of ultrasound in the study of peripheral nervesdates back to the late 80s [1]; the first ultrasound studies of the median nerve (MN) affected by carpal tunnel syndrome (CTS) date back to the 90s [2]. Since then, ultrasound has been...
Orbital density wave order and electronic correlation driven insulating 1T-TaS2 monolayer
Creators: name: Yu, Xiang-Long
name: Liu, Da-Yong
name: Jia, Ting
name: Lin, H. -Q.
name: Zou, Liang-Jian
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We present the orbital resolved electronic properties of structurally distorted 1T-TaS2 monolayers. After optimizing the crystal structures, we obtain the lattice parameters and atomic positions in the star-of-David structure, and show the low-temperature band structures of distorted bulk are consistent with recent angle resolved photoemission spectroscopy (ARPES) data. We further clearly demonstrate that $5d$ electrons of Ta form ordered orbital-density-wave (ODW) state with dominant $5d_{3{z}^2-{r}^2}$ character in central Ta, driving the one-dimensional metallic state in paramagnetic bulk and half-filled insulator in monolayer. Meanwhile, the star-of-David distortion in monolayers favors charge density wave and the flat band stabilizes ferromagnetic density wave of Ta spins with the same wavevector of ODW 4/13 b_1+1/13 b2. We propose that $1$T-TaS$_{2}$ monolayer may pave a new way to study the exciton physics, exciton-polaron coupling, and potential applications for its exciton luminescence.
description: 5 pages, 5 figures
SFB Presentation: Entangling Logical Qubits with Lattice Surgery
Creators: name: Erhard, Alexander
name: Poulsen Nautrup, Hendrik
Publisher: name: Zenodo
Year: 2020

description: This is a presentation at the SFB BeyondC Meeting about the paper: arXiv:2006.03071 Abstract: Future quantum computers will require quantum error correction for faithful operation. The correction capabilities come with an overhead for performing fault-tolerant logical operations on the encoded qubits. One of the most resource efficient ways to implement logical operations is lattice surgery, where groups of physical qubits, arranged on lattices, can be merged and split to realize entangling gates and teleport logical information. Here, we report on the experimental realization of lattice surgery between two topologically encoded qubits in a 10-qubit ion trap quantum information processor. In particular, we demonstrate entanglement between two logical qubits and we implement logical state teleportation.
On indefinite $k$-universal integral quadratic forms over number fields
Creators: name: He, Zilong
name: Hu, Yong
name: Xu, Fei
Publisher: name: arXiv
Year: 2022
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11E12, 11E08, 11E20, 11R11

description: An integral quadratic lattice is called indefinite $k$-universal if it represents all integral quadratic lattices of rank $k$ for a given positive integer $k$. For $k\geq 3$, we prove that the indefinite $k$-universal property satisfies the local-global principle over number fields. For $k=2$, we show that a number field $F$ admits an integral quadratic lattice which is locally $2$-universal but not indefinite 2-universal if and only if the class number of $F$ is even. Moreover, there are only finitely many classes of such lattices over $F$. For $k=1$, we prove that $F$ admits a classic integral lattice which is locally classic $1$-universal but not classic indefinite $1$-universal if and only if $F$ has a quadratic unramified extension where all dyadic primes of $F$ split completely. In this case, there are infinitely many classes of such lattices over $F$. All quadratic fields with this property are determined.
description: 27 pages, terminology changed a bit, results in section 6 strengthened
title: Value of post-operative breast MRI for detection of residual disease
Creators: name: Healy, Nuala
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Breast
subject: MR
subject: Surgery
subject: Outcomes
subject: Multidisciplinary cancer care

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: In patients with invasive breast cancer, current guidelines define clear or adequate surgical resection margins as no tumour on ink in order to ensure complete surgical excision[1,2]. In those patients with positive surgical resection...
Layered character models for fast physics-based simulation
Creators: name: Komaritzan, Martin
Publisher: name: TU Dortmund
Year: 2022
Subjects: subject: Animation
subject: Virtual character
subject: Skinning
subject: Physics-based simulation
subject: GPU computing
subject: 004
subject: Computeranimation
subject: Computersimulation
subject: Grafikprozessor

description: This thesis presents two different layered character models that are ready to be used in physics-based simulations, in particular they enable convincing character animations in real-time. We start by introducing a two-layered model consisting of rigid bones and an elastic soft tissue layer that is efficiently constructed from a surface mesh of the character and its underlying skeleton. Building on this model, we introduce Fast Projective Skinning, a novel approach for physics-based character skinning. While maintaining real-time performance it overcomes the well-known artifacts of commonly used geometric skinning approaches. It further enables dynamic effects and resolves local and global self-collisions. In particular, our method neither requires skinning weights, which are often expensive to compute or tedious to hand-tune, nor a complex volumetric tessellation, which fails for many real-world input meshes due to self-intersections. By developing a custom-tailored GPU implementation and a high-quality upsampling method, our ap- proach is the first skinning method capable of detecting and handling arbitrary global collisions in real-time. In the second part of the thesis, we extend the idea of a simplified two-layered volumetric model by developing an anatomically plausible three-layered representation of human virtual characters. Starting with an anatomy model of the male and female body, we show how to generate a layered body template for both sexes. It is composed of three surfaces for bones, muscles and skin enclosing the volumetric skeleton, muscles and fat tissues. Utilizing the simple structure of these templates, we show how to fit them to the surface scan of a person in just a few seconds. Our approach includes a data-driven method for estimating the amount of muscle mass and fat mass from a surface scan, which provides more accurate fits to the variety of human body shapes compared to previous approaches. Additionally, we demonstrate how to efficiently embed fine-scale anatomical details, such as high resolution skeleton and muscle models, into the layered fit of a person. Our second model can be used for physical simulation, statistical analysis and anatomical visualization in computer animation or in medical applications, which we demonstrate on several examples.
Experimental results to constrain the uncertainties of critical i) parameters or ii) impact of processes.
Creators: name: Andrianov, Nikolai
Publisher: name: Zenodo
Year: 2023
Subjects: Carbon Capture, Storage, Utilization, Demonstration, H2020 EU projects, Carbon Neutral Clusters, CCUS Demonstration Projects

description: The results of the ConsenCUS d4.2 indicate that there are significant uncertainties in the parameters of rock-fluid interactions, which lead to considerable differences in estimating the CO2 recovery efficiency during temorary storage. The goal of this report (deliverable 4.3) is to reduce the uncertainties by conducting a core flooding laboratory experiment, accompanied by a petrophysical evaluation of rock alteration before and after the experiment, together with the corresponding geochemical and numerical modeling. The experiments were done using rock samples and at the reservoir conditions, characteristics for the potential CO2 storage site at Stenlille. The experimental results indicate that the rock mineralogy, samples permeability, and samples dimensions were essentially unaffected by CO2 flooding. This means that there are only very limited geochemical and geochemechanical effects are expected due to CO2 interaction with the formation. On the other hand, sudden increases in differential pressure at the start of the experiment have been observed, which can possibly explained by pore blockage due to fines migration or salt precipotation. Precipitated salt and some fines were also detected after the end of the experiment. Numerical modeling is able to reproduce the experimental results reasonably well. the numerical results are most sensitive to the parameters of relative permeabilities and water vaporization into the CO2 phase. In line with the experimental results, the predicted amount of precipitated salt is small, and the predicted sample's permeability does not change considerably. Overall, the results indicate the features of the numerical model which will be used on a reservoir scale to estimate storage efficiency at Stenlille and Havnso sites (deliverable 4.4).
Ab auf die (Schul-)Insel: Den Herausforderungen im Schulunterricht mit der Sozialen Arbeit in alternativen Lernorten begegnen
Creators: name: Britschgi, Denise
name: Hasler-Nold, Katharina
name: Hofmann-Gullotti, Manuela
Publisher: name: Hochschule Luzern – Soziale Arbeit
Year: 2024

description: Schulen werden heutzutage durch gesellschaftliche Veränderungen, wie soziokulturelle Vielfalt, vermehrte psychosoziale Belastungen der Schüler:innen und durch das integrative Bildungssystem herausgefordert. Diese unterschiedlichen Faktoren können zu Herausforderungen im Unterricht führen. Eine Massnahme, um darauf reagieren zu können, sind alternative Lernorte. Diese separaten Unterrichtsräume auf dem Schulareal werden von unterschiedlichen Professionen, wie Lehrpersonen, Schulischen Heilpädagog:innen oder Professionellen der Sozialen Arbeit, geführt. Die vorliegende Bachelorarbeit befasst sich mit den angestrebten Zielen und den Arbeitsweisen in alternativen Lernorten. Untersucht wurden dazu drei alternative Lernorte mit Leitungspersonen unterschiedlicher Professionen. Anhand qualitativer Inhaltsanalysen der jeweiligen Konzepte und Expert:inneninterviews wurde eine Gegenüberstellung der Ziele in den untersuchten alternativen Lernorten und Arbeitsweisen der unterschiedlichen Professionen hergestellt. Anhand der Datenauswertung wurden die Chancen und Herausforderungen für die Soziale Arbeit in alternativen Lernorten abgeleitet, um der übergeordneten Frage nachzugehen, welchen Beitrag die Soziale Arbeit in alternativen Lernorten leisten kann. Die Ergebnisse dieser Untersuchung zeigen auf, dass die Soziale Arbeit in alternativen Lernorten mit ihrer ressourcen- und systemorientierten Arbeitsweise ein grosses Potenzial aufweist und einen Mehrwert für das System Schule bringen kann.
description: + Code Diss LU: hslusa basa + Code Diss LU: hslusa basp + Fussnote: Bachelor-Arbeit, Hochschule Luzern – Soziale Arbeit, Studienrichtung Sozialarbeit & Sozialpädagogik, 2024 + NL-Code: NLLUHSA202409
Modelling the future vulnerability of urban green space for priority-based management and green prosperity strategy planning in Kolkata, India: a PSR-based analysis using AHP-FCE and ANN-Markov model
Creators: name: Dinda, Santanu
name: Chatterjee, Nilanjana Das
name: Ghosh, Subrata
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified

description: Changes in land-use and land-cover (LULC) in urban areas affect the natural environment, especially urban green spaces (UGS). The present study examines the loss of UGS due to LULC transformation at different periods to predict the future vulnerable zone of UGS, based on the 'Pressure-State-Response’ framework. To calculate the weight of each factor, a combined Analytical Hierarchical Process and Fuzzy Comprehensive Evaluation method have been used. An integrated multilayer perceptron based artificial neural network and Markov chain (MLP-ANN-MC) model has been employed to predict the UGS vulnerable area in Kolkata. Results indicated that growth rates of built-up area, land-use dynamic degree, change intensity index, and proximity factors are the major responsible for UGS vulnerability. Applying the MLP-ANN-MC model, future vulnerable zones were identified for management and conservation of UGS. The methodology developed and demonstrated in this study expands LULC change analysis and provide a new dimension for UGS vulnerability assessment.
Pairing Superfluidity in Spin-Orbit Coupled Ultracold Fermi Gases
Creators: name: Yi, Wei
name: Zhang, Wei
name: Cui, Xiaoling
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We review some recent progresses on the study of ultracold Fermi gases with synthetic spin-orbit coupling. In particular, we focus on the pairing superfluidity in these systems at zero temperature. Recent studies have shown that different forms of spin-orbit coupling in various spatial dimensions can lead to a wealth of novel pairing superfluidity. A common theme of these variations is the emergence of new pairing mechanisms which are direct results of spin-orbit-coupling-modified single-particle dispersion spectra. As different configurations can give rise to single-particle dispersion spectra with drastic differences in symmetry, spin dependence and low-energy density of states, spin-orbit coupling is potentially a powerful tool of quantum control, which, when combined with other available control schemes in ultracold atomic gases, will enable us to engineer novel states of matter.
description: 11 pages, 10 figures, an invited review for Science China. published online, Science China Physics, Mechanics & Astronomy (2014)
Anomalous multi-order Raman scattering in LaMnO_3: a signature of a quantum lattice effect in a Jahn-Teller crystal
Creators: name: Kovaleva, N. N.
name: Kusmartseva, O. E.
name: Kugel, K. I.
name: Maksimov, A. A.
name: Nuzhnyy, D.
name: Balbashov, A. M.
name: Demikhov, E. I.
name: Dejneka, A.
name: Trepakov, V. A.
name: Kusmartsev, F. V.
name: Stoneham, A. M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The multi-order Raman scattering is studied up to a fourth order for a detwinned LaMnO_3 crystal. Based on a comprehensive data analysis of the polarisation-dependent Raman spectra, we show that the anomalous features in the multi-order scattering could be the sidebands on the low-energy mode at about 25 cm-1. We suggest that this low-energy mode stems from the tunneling transition between the potential energy minima arising near the Jahn-Teller Mn3+ ion due to the lattice anharmonicity, and the multi-order scattering is activated by this low-energy electronic motion. The sidebands are dominated by the oxygen contribution to the phonon density-of-states, however, there is an admixture of an additional component, which may arise from coupling between the low-energy electronic motion and the vibrational modes.
description: 12 pages, 4 figures
Retrieval of Svalbard ice flow velocities using Sentinel 1A/1B three-pass Differential SAR Interferometry
Creators: name: Nela, Bala Raju
name: Singh, Gulab
name: Mohanty, Shradha
name: Rajat
name: Arigony-Neto, Jorge
name: Glazovsky, Andrey F.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Glacier velocity is an important parameter to characterize glacier dynamics and to derive ice thickness and mass balance. The 2-pass/3-pass Differential Synthetic Aperture Radar Interferometry (DInSAR) techniques are advantageous in estimating glacier movements. However, the 2-pass DInSAR requires an external Digital Elevation Model (DEM), whereas the 3-pass DInSAR does not. The 3-pass DInSAR technique is adopted with Sentinel-1A/1B to map the Svalbard glacier flow velocities. Furthermore, the effect of glacier surface elevation change on the 2-pass DInSAR results were revealed by comparing glacier velocity with the two time period topographic information. The coherence indicates that Sentinel-1A/1B has a high potential to infer operational glacier velocity using the 3-pass DInSAR method with an average atmospheric uncertainty of 0.24 cm/day over the studied region. The precision of the 3-pass DInSAR is analyzed by comparing 2-pass derived line-of-sight (LOS) velocity on the same dates. The 3-pass DInSAR achieves high-resolution and detailed information.
title: Isolated lymphatic malformations as the first sign of diffuse lymphangiomatosis in newborns: THE ROLE OF WHOLE BODY MRI before and after treatment
Creators: name: Carbone, Mariangela
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Outcomes
subject: Cysts
subject: Congenital
subject: Treatment effects
subject: Outcomes analysis
subject: Localisation
subject: Ultrasound
subject: MR
subject: Mediastinum
subject: Head and neck
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: The aim of our study was to determine the contribution of Whole Body-Magnetic Resonance Imaging (WB-MRI) at the diagnostic stage of generalized cystic lymphangiomatosis in neonates with isolated lymphatic malformation and during the follow-up after...
Smoothed Embeddings for Certified Few-Shot Learning
Creators: name: Pautov, Mikhail
name: Kuznetsova, Olesya
name: Tursynbek, Nurislam
name: Petiushko, Aleksandr
name: Oseledets, Ivan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Randomized smoothing is considered to be the state-of-the-art provable defense against adversarial perturbations. However, it heavily exploits the fact that classifiers map input objects to class probabilities and do not focus on the ones that learn a metric space in which classification is performed by computing distances to embeddings of classes prototypes. In this work, we extend randomized smoothing to few-shot learning models that map inputs to normalized embeddings. We provide analysis of Lipschitz continuity of such models and derive robustness certificate against $\ell_2$-bounded perturbations that may be useful in few-shot learning scenarios. Our theoretical results are confirmed by experiments on different datasets.
title: Skeletal manifestations in Neurofibromatosis type I
Creators: name: Ilangovan, Gurubharath
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Developmental disease
subject: Screening
subject: Diagnostic procedure
subject: Conventional radiography
subject: Bones
subject: Musculoskeletal bone
subject: Dysplasias

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: Neurofibromatosis type 1 (NF-1) is the most common type of the phakomatoses, a group of congenital neurocutaneous disorders. It is due to abnormalities related to mesodermal dysplasia and is characterized by the formation of neurofibromas. It is...
title: GASTROINTESTINAL DISORDERS associated with CYSTIC FIBROSIS: OUR EXPERIENCE
Creators: name: Carbone, Mariangela
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Inflammation
subject: Genetic defects
subject: Congenital
subject: Statistics
subject: FOS: Mathematics
subject: Localisation
subject: Complications
subject: Ultrasound
subject: CT
subject: Gastrointestinal tract
subject: Abdomen
subject: MR-Enterography

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To put in evidence some inflammatory or autoimmune gastrointestinal disorders in patient with Cystic Fibrosis that are not correlated with its physiopathology. Familiarity with their expected imaging findings are essential for the timely management...
title: Neural correlates of fear conditioning are associated with treatment-outcomes to behavioral exposure in spider phobia – Evidence from magnetoencephalography
Creators: name: Roesmann, Kati
name: Tölle, Julius
name: Leehr, Elisabeth Johanna
name: Wessing, Ida
name: Böhnlein, Joscha
name: Seeger, Fabian Reinhard
name: Schwarzmeier, Hanna
name: Siminski, Niklas
name: Herrmann, Martin J.
name: Dannlowski, Udo
name: Lüken, Ulrike
name: Klucken, Tim
name: Straube, Thomas
name: Junghöfer, Markus
Publisher: name: University of Muenster, Institutional Repository MIAMI
Year: 2023
Subjects: subject: 610 Medicine and health

description: Background: Models of anxiety disorders and the rationale of exposure therapy (ET) are grounded on classical fear conditioning. Yet, it is unclear whether lower fear ratings of conditioned safety versus threat cues and corresponding neural markers of safety-learning and/or fear inhibition assessed before treatment would predict better outcomes of behavioral exposure. Methods: Sixty-six patients with spider phobia completed pre-treatment clinical and experimental fear conditioning assessments, one session of virtual reality ET, a post-treatment clinical assessment, and a 6-month follow-up assessment. Tilted Gabor gratings served as conditioned stimuli (CS) that were either paired (CS+) or remained unpaired (CS-) with an aversive phobia-related and phobia-unrelated unconditioned stimulus (UCS). CS+/CS- differences in fear ratings and magnetoencephalographic event-related fields (ERFs) were related to percentual symptom reductions from pre- to post-treatment, as assessed via spider phobia questionnaire (SPQ), behavioral avoidance test (BAT), and remission status at 6-month follow-up. Results: We observed no associations between pre-treatment CS+/CS- differences in fear ratings and any treatment outcome. CS+/CS- differences in source estimations of ERFs revealed that higher CS- activity in bilateral dorsolateral prefrontal cortex (dlPFC) was related with SPQ- and BAT-reductions. Associations between CS+/CS- differences and treatment outcomes were also observed in left ventromedial prefrontal cortex (vmPFC) regions, which additionally revealed associations with the follow-up remission status. Conclusions: Results provide initial evidence that neural pre-treatment CS+/CS- differences may hold predictive information regarding outcomes of behavioral exposure. Our findings highlight a key role of neural responses to safety cues with potentially inhibitory effects on affect-generating structures during fear conditioning.
description: Finanziert durch den Open-Access-Publikationsfonds der Westfälischen Wilhelms-Universität Münster (WWU Münster).
title: Pelvis varices in men
Creators: name: Zhukov, Oleg
Publisher: name: European Congress of Radiology
Year: 2018
Subjects: subject: Pelvis
subject: Veins / Vena cava
subject: Vascular
subject: Ultrasound
subject: Ultrasound-Colour Doppler
subject: MR-Angiography
subject: Surgery
subject: Venous access
subject: Angioscopy
subject: Haemodynamics / Flow dynamics
subject: Dilatation
subject: Embolism / Thrombosis

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: We have also obberel classification of pelvic veins varicose in men ist also offered by...
Galaxy And Mass Assembly (GAMA): Galaxy close-pairs, mergers, and the future fate of stellar mass
Creators: name: Robotham, A. S. G.
name: Driver, S. P.
name: Davies, L. J. M.
name: Hopkins, A. M.
name: Baldry, I. K.
name: Agius, N. K.
name: Bauer, A. E.
name: Bland-Hawthorn, J.
name: Brough, S.
name: Brown, M. J. I.
name: Cluver, M.
name: De Propris, R.
name: Drinkwater, M. J.
name: Holwerda, B. W.
name: Kelvin, L. S.
name: Lara-Lopez, M. A.
name: Liske, J.
name: Lopez-Sanchez, A. R.
name: Loveday, J.
name: Mahajan, S.
name: McNaught-Roberts, T.
name: Moffett, A.
name: Norberg, P.
name: Obreschkow, D.
name: Owers, M. S.
name: Penny, S. J.
name: Pimbblet, K.
name: Prescott, M.
name: Taylor, E. N.
name: van Kampen, E.
name: Wilkins, S. M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We use a highly complete subset of the GAMA-II redshift sample to fully describe the stellar mass dependence of close-pairs and mergers between 10^8 Msun and 10^12 Msun. Using the analytic form of this fit we investigate the total stellar mass accreting onto more massive galaxies across all mass ratios. Depending on how conservatively we select our robust merging systems, the fraction of mass merging onto more massive companions is 2.0%-5.6%. Using the GAMA-II data we see no significant evidence for a change in the close-pair fraction between redshift $z = 0.05-0.2$. However, we find a systematically higher fraction of galaxies in similar mass close-pairs compared to published results over a similar redshift baseline. Using a compendium of data and the function $γ_M =A(1+z)m$ to predict the major close-pair fraction, we find fitting parameters of $A = 0.021 \pm 0.001$ and $m = 1.53 \pm 0.08$, which represents a higher low-redshift normalisation and shallower power-law slope than recent literature values. We find that the relative importance of in-situ star-formation versus galaxy merging is inversely correlated, with star-formation dominating the addition of stellar material below Mstar and merger accretion events dominating beyond Mstar. We find mergers have a measurable impact on the whole extent of the GSMF, manifest as a deepening of the dip in the GSMF over the next Gyr and an increase in Mstar by as much as 0.01-0.05 dex.
description: Accepted for publication in MNRAS: 25 Pages, 21 Figures, 3 Tables
A novel ensemble machine learning and time series approach for oil palm yield prediction using Landsat time series imagery based on NDVI
Creators: name: Ang, Yuhao
name: Shafri, Helmi Zulhaidi Mohd
name: Lee, Yang Ping
name: Abidin, Haryati
name: Bakar, Shahrul Azman
name: Hashim, Shaiful Jahari
name: Che’Ya, Nik Norasma
name: Hassan, Mohd Roshdi
name: San Lim, Hwee
name: Abdullah, Rosni
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Inorganic Chemistry

description: Accurate oil palm yield prediction is necessary to sustain oil palm production for food security and economic return. However, there are limited studies on comprehensive mapping and accurate oil palm yield prediction using advanced machine learning algorithms. Using multi-temporal remote sensing data, this paper proposed a new approach to predict oil palm yield based on the normalized difference vegetation index (NDVI) and ensemble machine learning algorithm. ReliefF algorithm with linear projection was employed to select the best combination of spectral indices in oil palm discrimination. Oil palm land cover was classified using random forest (RF) and modified AdaBoost algorithms. A time-series approach known as walk-forward validation was firstly introduced to train the model using the 2016-2019 data and the one-step prediction was performed for 2020 using RF and AdaBoost. Result of the study revealed that the RF model (RMSE = 0.384; MSE = 0.148; MAE = 0.147) outperformed the AdaBoost model (RMSE = 0.410; MSE = 0.168; MAE = 0.176). Our research has demonstrated the value of detailed mapping and subsequent yield prediction by developing a novel approach utilising time-series satellite imagery, ensemble machine learning, and NDVI, which will assist decision-makers in managing their practices related to oil palm.