cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Approximation of Eigenfunctions in Kernel-based Spaces
Creators: name: Santin, Gabriele
name: Schaback, Robert
Publisher: name: arXiv
Year: 2014
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: Kernel-based methods in Numerical Analysis have the advantage of yielding optimal recovery processes in the "native" Hilbert space $\calh$ in which they are reproducing. Continuous kernels on compact domains have an expansion into eigenfunctions that are both $L_2$-orthonormal and orthogonal in $\calh$ (Mercer expansion). This paper examines the corresponding eigenspaces and proves that they have optimality properties among all other subspaces of $\calh$. These results have strong connections to $n$-widths in Approximation Theory, and they establish that errors of optimal approximations are closely related to the decay of the eigenvalues. Though the eigenspaces and eigenvalues are not readily available, they can be well approximated using the standard $n$-dimensional subspaces spanned by translates of the kernel with respect to $n$ nodes or centers. We give error bounds for the numerical approximation of the eigensystem via such subspaces. A series of examples shows that our numerical technique via a greedy point selection strategy allows to calculate the eigensystems with good accuracy.
Superconductivity and the electronic phase diagram of LaPt$_{2-x}$Ge$_{2+x}$
Creators: name: Maeda, S.
name: Matano, K.
name: Yatagai, R.
name: Oguchi, T.
name: Zheng, Guo-qing
Publisher: name: arXiv
Year: 2015
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: In many cases, unconventional superconductivity are realized by suppressing another order parameter, such as charge density wave (CDW) or spin density wave (SDW). This suggests that the fluctuations of these order parameters play an important role in producing superconductivity. LaPt$_2$Ge$_2$ undergoes a tetragonal-to-monoclinic structural phase transition (SPT) at $T_{\rm s}$ = 394 K, accompanying a double period modulation in the $a$-axis direction, and superconducts at $T_{\rm c}$ = 0.41 K. We performed band calculations and found 2D (two dimensional)-like Fermi surfaces with partial nesting. A reduction in the density of states in the monoclinic phase was found in the calculation and confirmed by $^{195}$Pt-NMR. We suggest a CDW as a possible cause for the SPT. By changing the stoichiometry between Pt and Ge, we succeeded in suppressing $T_{\rm s}$ and increasing $T_{\rm c}$ in LaPt$_{2-x}$Ge$_{2+x}$. Comparison of $^{139}$La- and $^{195}$Pt-NMR data reveals moderate fluctuations associated with SPT. From $^{139}$La-NQR measurements at zero field, we found that an isotropic superconducting gap is realized in LaPt$_{2-x}$Ge$_{2+x}$ ($x$ = 0.20). We discuss the relationship between superconductivity and the SPT order/fluctuations.
description: 8 pages, 11 figures
60 Jahre Schulungsgemeinschaft und Akademische Arbeitsgemeinschaft
Creators: name: Keel, Ruedi
Publisher: name: Internationale katholische Zeitschrift Communio
Year: 2022

description: Internationale katholische Zeitschrift Communio, Bd. 31 Nr. 2 (2002): Internationale katholische Zeitschrift Communio, Band 31, Heft 2
Towards experimental and modeling study of heat transfer performance of water- SiO2 nanofluid in quadrangular cross-section channels
Creators: name: Alireza Baghban
name: Sasanipour, Jafar
name: Fathollah Pourfayaz
name: Ahmadi, Mohammad Hossein
name: Alibakhsh Kasaeian
name: Chamkha, Ali J.
name: Oztop, Hakan F.
name: Kwok-Wing Chau
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Space Science
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: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Nanofluids have found extended applications in different industrial and engineering systems nowadays. This study aims to investigate the accurate prediction of SiO2 nanofluid effect on the heat transfer performance, specifically convective heat transfer coefficient (H), of a quadrangular cross-section channel by considering affecting fluid flow specifications factors of Re, Pr, and concentration of nanoparticles (x) in the employing working fluid. An experimental setup is used to prepare a database consisting of 270 data points on the H, of SiO2 nanofluids. These data are then applied to develop predictive models based on three intelligent algorithms, namely multi-layer perceptron (MLP), adaptive neuro-fuzzy inference system (ANFIS), and least squares support vector machine (LSSVM), respectively. Graphical and statistical error criterions are carried out to evaluate the credibility of the proposed approaches. The LSSVM method had the precise performance regarding the mean squared error (MSE) and the coefficient of determination (R2) of 59.7 and 0.9992, respectively. A sensitivity analysis is also carried out to assess the impact of different parameters on the H demonstrating that the Prandtl number has the highest impact with a relevancy factor (r) of 0.524.
Additional file 1 of Machine learning for identification of silylated derivatives from mass spectra
Creators: name: Ljoncheva, Milka
name: Stepišnik, Tomaž
name: Kosjek, Tina
name: Džeroski, Sašo
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
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
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 1. Specifications and physico-chemical properties of the selected CECs and their TMS derivatives for the test dataset.
Multifidelity aerodynamic analyses of a hybrid laminar flow control and variable camber coupled wing
Creators: name:  MAURICIO JENTYS
name:   TIM EFFING
name:   CHRISTIAN BREITSAMTER
name:   EIKE STUMPF
Publisher: name: Proceedings of the Aerospace Europe Conference - EUCASS - CEAS - 2023
Year: 2023
Subjects: CFD
OVERALL AIRCRAFT DESIGN
MODEL ORDER REDUCTION
HYBRID LAMINAR FLOW CONTROL
VARIABLE CAMBER WING

description: This paper presents aerodynamic analyses of a transonic transport aircraft wing equipped with hybrid laminar flow control and variable camber systems. The analyses are performed on multiple fidelity levels, where particular focus within this paper lies on the efficient introduction of the high-fidelity (HiFi) computational fluid dynamics (CFD) results into the aerodynamic module of the overall aircraft: design suite MICADO, representing the low-fidelity (LowFi) level. The introduction on integral coefficient level is achieved via the formulation of a Gaussian process regression-based surrogate model (SG) for the drag coefficient of the wing.Surface pressure distributions are predicted with a reduced-order model (ROM) utilizing Proper Orthogonal Decomposition. The predictions of both models are in good agreement with HiFi CFD results. Integrating the SG/ROM into the LowFi-environment reveals that both LowFi and HiFi approaches correspond well in predicting parametric sensitivities. Nevertheless, the SG/ROM integration substantially improves aerodynamic prediction accuracy at moderate computational and modeling costs.
Graphene nanoflakes in external electric and magnetic in-plane fields
Creators: name: Szałowski, Karol
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The paper discusses the influence of the external in-plane electric and magnetic field on the ground state spin phase diagram of selected monolayer graphene nanostructures. The calculations are performed for triangular graphene nanoflakes with armchair edges as well as for short pieces of armchair graphene nanoribbons with zigzag terminations. The Mean Field Approximation (MFA) is employed to solve the Hubbard model. The total spin for both classes of nanostructures is discussed as a function of external fields for various structure sizes, for charge neutrality conditions as well as for weak charge doping. The variety of nonzero spin states is found and their stability ranges are determined. For some structures, the presence of antiferromagnetic orderings is predicted within the zero-spin phase. The process of magnetization of nanoflakes with magnetic field at constant electric field is also investigated, showing opposite effect of electric field at low and at high magnetic fields.
Opfer und Martyrium - die Antwort Christi
Creators: name: Menke, Karl-Heinz
Publisher: name: Internationale katholische Zeitschrift Communio
Year: 2022

description: Internationale katholische Zeitschrift Communio, Bd. 31 Nr. 2 (2002): Internationale katholische Zeitschrift Communio, Band 31, Heft 2
Moore with Less: Ultra-Low Energy Neuromorphic Circuits and Systems for Large-Scale Distributed AI Slides
Creators: Gert Cauwenberghs
Publisher: name: IEEE
Year: 2024

ISCAS 2024 Keynote
Abstract: The rapidly increasing volume of computational power needed to train and run ever more sophisticated models in artificial intelligence, driven by an insatiable appetite for access to information about anything anywhere and anytime, is consuming massive amounts of energy depleting the earth's resources and aggravating climate change at an alarming rate. Inspired by the efficiency, efficacy, and resilience of natural intelligence in biological information processing systems, a principled approach to neuromorphic engineering design offers sustainable alternatives for ultra-low energy cognitive computing in massively parallel distributed architecture, permitting continued advances in Moore's law scaling of semiconductor technology as shrinking device dimensions approach physical limits where individual operational reliability is no longer warranted. System-level accuracy and efficiency emerge from the robust adaptive collective dynamics of large assemblies of imprecise individual nanoscale elements which, like neurons and synapses in the central nervous system, operate near fundamental thermodynamic limits of noise-energy efficiency. Examples include a fully silicon integrated memristive computein- memory chip to combine at once superior energy efficiency and near-full digital equivalent accuracy supporting a versatile range of model architectures for reconfigurable and heterogeneous AI on the edge, and a chargedomain compute-in-memory array with resonant adiabatic energy recovery consuming less than one femtojoule of energy per multiply-accumulate synaptic operation approaching nominal efficiency of synaptic transmission in the mammalian brain.
Biography: Gert Cauwenberghs is Professor of Bioengineering and Co-Director of the Institute for Neural Computation at UC San Diego, La Jolla CA. His research focuses on micropower integrated biomedical circuits, neuron-silicon and brain-machine interfaces, neuromorphic engineering, and adaptive intelligent systems. He is a Fellow of IEEE and the American Institute for Medical and Biological Engineering (AIMBE). He served IEEE in a variety of roles including as Distinguished Lecturer of the IEEE Circuits and Systems Society, as VP of Technical Activities on the Executive Committee of the IEEE Engineering in Medicine and Biology Society, on the Steering Committee of IEEE Brain, and as Editor-in-Chief of the IEEE Transactions on Biomedical Circuits and Systems.
Factors associated with driving under the influence of alcohol
Creators: name: Smailović, Emir
name: Lipovac, Krsto
name: Pešić, Dalibor
name: Antić, Boris
Publisher: name: Figshare
Year: 2019
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: Objective: This study examined the risk factors of driving under the influence of alcohol (DUI) among drivers of specific vehicle categories (DSC). On the basis of this research, the variables related to DUI and involvement in traffic crashes were defined. The analysis was conducted for car drivers, bicyclists, motorcyclists, bus drivers, and truck drivers. Method: The research sample included drivers involved in traffic crashes on the territory of Serbia in 2016 (60,666). Two types of analyses were conducted in this study. Logistic regression established the correlation between DUI and DSC and the The Technique for Order of Preference by Similarity to Ideal Solution (Multi-criteria decision making) method was applied to consider the scoring and explore the potential for the prevalence of DUI on the basis of 2 data sets (DUI and non DUI). Results: The study results showed that driver error and male drivers were the 2 most significant risk factors for DUI, with the highest scores and potential for prevalence. The nonuse of restraint systems, driver experience, and driver age are the factors with a significant prediction of involvement in an accident and an insignificant prediction of DUI. Conclusions: Following the development of the logistic prediction models for DUI drivers, testing of the model was conducted for 3 control driver groups: Car, motorcycle, and bicycle. The prediction model with a probability greater than 50% showed that 77% of car drivers were under the influence of alcohol. Similarly, the prediction percentage for motorcyclists and bicyclists amounted to 71 and 67%, respectively. The recommendation of the study is that drivers whose DUI probability is above 50% should be potentially suspected of DUI. The results of this study can help to understand the problem of DUI among specific driver categories and detect DUI drivers, with the aim of creating successful traffic safety policy.
Two-impurity helical Majorana problem
Creators: name: Eriksson, E.
name: Zazunov, A.
name: Sodano, P.
name: Egger, R.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We predict experimentally accessible signatures for helical Majorana fermions in a topological superconductor by coupling to two quantum dots in the local moment regime (corresponding to spin-$1/2$ impurities). Taking into account RKKY interactions mediated by bulk and edge modes, where the latter cause a long-range antiferromagnetic Ising coupling, we formulate and solve the low-energy theory for this two-impurity helical Majorana problem. In particular, we show that the long-time spin dynamics after a magnetic field quench displays weakly damped oscillations with universal quality factor.
description: 6 pages, 1 figure, replaced with published version
AN INTEGRATIVE MACHINE LEARNING APPROACH FOR SMALL SAMPLES AND HIGH-DIMENSIONAL IMBALANCED DATA IN PSYCHOLOGICAL EXPERIMENT
Creators: name: Lee, Chaewon
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2023

description: Machine learning for classification may not be immediately useful for many contexts seen in psychology. Psychological data often limit its efficacy due to small sample size, high dimensionality, and class imbalance. The current study presents an integrative machine learning approach that can be a useful solution to the challenges encountered when the aforementioned issues are inherent in psychological data. The tested approach consists of three consecutive steps – feature selection, minority oversampling, and predictive modeling. To begin with, feature selection tackles high dimensionality and extracts important features out of original predictors, using elastic net logistic regression. Then, synthetic minority oversampling technique addresses class imbalance, generating new observations primarily for the minority class. Finally, supervised machine learning algorithms build predictive models, using the oversampled feature set. The algorithms employed in this study include support vector machine, extreme gradient boosting, deep neural network, and logistic regression. They fully exploit the small sample with leave-one-out cross-validation. The current study demonstrates the utility of the integrative classification approach with an empirical analysis on predicting suicide attempt by a sample of patients diagnosed with bipolar I disorder, using their event-related potentials (ERPs). The study shows how prediction can be improved by the integrative modeling as the first two analytical steps being added to the generic process of predictive modeling.
Experiment and modeling details from An electro-osmotic microfluidic system to characterize cancer cell migration under confinement
Creators: name: T. H. Hui
name: W. C. Cho
name: H. W. Fong
name: M. Yu
name: K. W. Kwan
name: K. C. Ngan
name: K. H. Wong
name: Y. Tan
name: S. Yao
name: H. Jiang
name: Z. Gu
name: Y. Lin
Publisher: name: Figshare
Year: 2019
Subjects: subject: Biophysics
subject: 110601 Biomechanics
subject: FOS: Health sciences

description: We have developed a novel electro-osmotic microfluidic system to apply precisely controlled osmolarity gradients to cancer cells in micro-channels. We observed that albeit adhesion is not required for cells to migrate in such a confined microenvironment, the migrating velocity of cells is strongly influenced by the interactions between the cells and the channel wall, with a stronger adhesion leading to diminished cell motility. Furthermore, through examining more than 20 different types of cancer cells, we found a linear positive correlation between the protein concentration of the aquaporin-4 (AQP4) and the cell migrating speed. Knockdown of AQP4 in invasive re-populated cancer stem cells reduced their migration capability down to the level that is comparable to their parental cancer cells. Interestingly, these observations can all be quantitatively explained by the osmotic engine model where the cell movement is assumed to be driven by cross-membrane ion/water transport, while adhesion acts as a frictional resistance against the cell motility. By providing versatile and controllable features in regulating and characterizing the migration capability of cells, our system may serve as a useful tool in quantifying how cell motility is influenced by different physical and biochemical factors, as well as elucidating the mechanisms behind, in the future.
The Evolving Power Grid Towards a Greener Future Slides
Creators: Michael Tse
Publisher: name: IEEE
Year: 2024

ISCAS 2024 Keynote
Abstract: As prompted by the increasing use of renewable sources and the quest for higher performance in the control of power conversion, the use of power electronics in generation and distribution systems has increased significantly in recent years,. Interactions of power electronics systems and conventional synchronous machines' dynamics would inevitably cause stability and robustness concerns, which can be understood from the conventional control viewpoint and the coupling effects among interacting dynamical systems of varying stability margins (or transient performances). In this talk, we discuss the various circuits and systems problems of power electronics penetration into power grids and the implications on the continuous evolution of the power grids.
Biography: C K Michael Tse received the BEng (Hons) degree in electrical engineering and the PhD degree from the University of Melbourne, Australia. He is currently Associate Vice President, Director of Academy of Innovation, and Chair Professor of Electrical Engineering with City University of Hong Kong. His research interests include power electronics, nonlinear systems, and complex network applications. Prof. Tse was the recipient of a number of research and industry awards, including the IEEE CASS Charles A. Desoer Technical Achievement Award in 2022, Prize Paper Awards by IEEE Transactions on Power Electronics in 2001, 2015, 2017, 2021 and 2022, four Gold Medals and Grand Prizes at the international invention exhibitions, and a number of recognitions by the academic and research communities, including honorary professorship by several Chinese, Canadian and Australian universities. He was the Editorin- Chief for the IEEE Transactions on Circuits and Systems II from 2016 to 2019 and IEEE Circuits and Systems Magazine from 2012 to 2015, and on the editorial boards of a few other IEEE journals. He was elected as an IEEE Fellow in 2005.
Dynamic entanglement transfer in a double-cavity optomechanical system
Creators: name: Huan, Tiantian
name: Zhou, Rigui
name: Ian, Hou
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We give a theoretical study of a double-cavity system in which a mechanical resonator beam is coupled to two cavity modes on both sides through radiation pressures. The indirect coupling between the cavities via the resonator sets up a correlation in the optomechanical entanglements between the two cavities with the common resonator. This correlation initiates an entanglement transfer from the intracavity photon-phonon entanglements to an intercavity photon-photon entanglement. Using numerical solutions, we show two distinct regimes of the optomechanical system, in which the indirect entanglement either builds up and eventually saturates or undergoes a death-and-revival cycle, after a time lapse for initiating the cooperative motion of the left and right cavity modes.
description: 7 pages
Additional file 3 of Machine learning for identification of silylated derivatives from mass spectra
Creators: name: Ljoncheva, Milka
name: Stepišnik, Tomaž
name: Kosjek, Tina
name: Džeroski, Sašo
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
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
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 3. Representation of the environmental relevance evaluation.
Variational Techniques for Water Waves and Singular Perturbations
Creators: name: Gravina, Giovanni
Publisher: name: Figshare
Year: 2019
Subjects: subject: 10199 Pure Mathematics not elsewhere classified
subject: FOS: Mathematics

description: This thesis aims to provide a variational framework for the study of two problems that arise from fluid dynamics and continuum mechanics. The first part concerns a free boundary approach for the existence of periodic water waves. This is a notoriously hard problem as the only variational solutions of the unconstrained problem are waves with flat profiles. Nevertheless, it is shown that by
considering an additional Dirichlet condition on part of the lateral boundary, nontrivial solutions can be found among minimizers of the classical Alt-Caffarelli functional. The second part of the thesis focuses on a regularization by singular perturbations of a mixed Dirichlet-Neumann boundary value problem. The asymptotic behavior of the solutions to the perturbed problems is studied by means of
an asymptotic development by Gamma-convergence, recovering classical results in the literature.
Finding Structural Information of RF Power Amplifiers using an Orthogonal Non-Parametric Kernel Smoothing Estimator
Creators: name: Zenteno, Efrain
name: Khan, Zain Ahmed
name: Isaksson, Magnus
name: Handel, Peter
Publisher: name: arXiv
Year: 2015
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: A non-parametric technique for modeling the behavior of power amplifiers is presented. The proposed technique relies on the principles of density estimation using the kernel method and is suited for use in power amplifier modeling. The proposed methodology transforms the input domain into an orthogonal memory domain. In this domain, non-parametric static functions are discovered using the kernel estimator. These orthogonal, non-parametric functions can be fitted with any desired mathematical structure, thus facilitating its implementation. Furthermore, due to the orthogonality, the non-parametric functions can be analyzed and discarded individually, which simplifies pruning basis functions and provides a tradeoff between complexity and performance. The results show that the methodology can be employed to model power amplifiers, therein yielding error performance similar to state-of-the-art parametric models. Furthermore, a parameter-efficient model structure with 6 coefficients was derived for a Doherty power amplifier, therein significantly reducing the deployment's computational complexity. Finally, the methodology can also be well exploited in digital linearization techniques.
description: Matlab sample code (15 MB): https://dl.dropboxusercontent.com/u/106958743/SampleMatlabKernel.zip
Permission-Based Separation Logic for Multithreaded Java Programs
Creators: name: Haack, Christian
name: Huisman, Marieke
name: Hurlin, Clément
name: Amighi, Afshin
Publisher: name: arXiv
Year: 2014
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: This paper presents a program logic for reasoning about multithreaded Java-like programs with dynamic thread creation, thread joining and reentrant object monitors. The logic is based on concurrent separation logic. It is the first detailed adaptation of concurrent separation logic to a multithreaded Java-like language. The program logic associates a unique static access permission with each heap location, ensuring exclusive write accesses and ruling out data races. Concurrent reads are supported through fractional permissions. Permissions can be transferred between threads upon thread starting, thread joining, initial monitor entrancies and final monitor exits. In order to distinguish between initial monitor entrancies and monitor reentrancies, auxiliary variables keep track of multisets of currently held monitors. Data abstraction and behavioral subtyping are facilitated through abstract predicates, which are also used to represent monitor invariants, preconditions for thread starting and postconditions for thread joining. Value-parametrized types allow to conveniently capture common strong global invariants, like static object ownership relations. The program logic is presented for a model language with Java-like classes and interfaces, the soundness of the program logic is proven, and a number of illustrative examples are presented.
Electrical conductivity and charge diffusion in thermal QCD from the lattice
Creators: name: Aarts, Gert
name: Allton, Chris
name: Amato, Alessandro
name: Giudice, Pietro
name: Hands, Simon
name: Skullerud, Jon-Ivar
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We present a lattice QCD calculation of the charge diffusion coefficient, the electrical conductivity and various susceptibilities of conserved charges, for a range of temperatures below and above the deconfinement crossover. The calculations include the contributions from up, down and strange quarks. We find that the diffusion coefficient is of the order of 1/(2πT) and has a dip around the crossover temperature. Our results are obtained with lattice simulations containing 2+1 dynamical flavours on anisotropic lattices. The Maximum Entropy Method is used to construct spectral functions from correlators of the conserved vector current.
description: 27 pages, several figures; references added, to appear in JHEP
Driving while impaired by alcohol: An analysis of drink-drivers involved in UK collisions
Creators: name: Owen, Richard
name: Ursachi, George
name: Fosdick, Tanya
name: Horodnic, Adrian V.
Publisher: name: Figshare
Year: 2019
Subjects: subject: Space Science
subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Developmental Biology
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Objective: Drink-driving represents a critical issue on international organizations’ agendas as one of the key behavioral risk factors in road traffic safety, alongside speed and nonuse of motorcycle helmets, seat belts, and child restraints. Changing road user behaviors regarding these 5 factors is a critical component in reducing road traffic injuries and casualties. The objective of this study is the identification of drivers who are more likely to contribute to crashes in the UK while impaired by alcohol to design targeted drink drive compliance campaigns. Method: To profile drivers with the factor “impaired by alcohol” assigned in collisions, an extensive data set is used, including all reported injury collisions between 2011 and 2015 in the UK (police records), merged with the Experian Mosaic Database. A multilevel mixed-effects logistic regression is conducted, utilizing the hierarchical nature of the data (drivers within Mosaic types). Results: Using multilevel mixed-effects logistic regression analysis, the finding is that some driver profiles are more likely to contribute to crashes and are assigned the contributory factor “impaired by alcohol.” Drink-related crashes are more common in some circumstances or for some crash-involved driver groups than others. For instance, alcohol-related crashes are more likely to occur on single carriageways and among males and 25- to 35-year-olds. Drink-drive-related crashes are found to be strongly associated with dark lighting conditions and, more specifically, with late night hours (the interval between 3:00 a.m. and 4:00 a.m. accounts for a third of the drink-drive-related collisions). Using the Experian Mosaic Database which divides the UK population into 66 types based on demographic, lifestyle, and behavior characteristics, the finding is that, among crash-involved drivers, some Mosaic types are significantly more likely (e.g., pocket pensions, dependent greys, streetwise singles) and others are significantly less likely (e.g., crowded kaleidoscope, cultural comfort, penthouse chic) to contribute to a drink-related crash. Conclusions: The outcome is a more nuanced understanding of drivers contributing to drink-related crashes in the UK. The study concludes by discussing the implications for governments and other interested bodies for better targeting and delivery of public education campaigns and interventions.
Additional file 5 of Machine learning for identification of silylated derivatives from mass spectra
Creators: name: Ljoncheva, Milka
name: Stepišnik, Tomaž
name: Kosjek, Tina
name: Džeroski, Sašo
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
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
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 5. Cosine similarity values for pairs of GC-EI-MS spectra for each TMS derivative.
Cosmological viable Mimetic $f(R)$ and $f(R,T)$ theories via Noether symmetry
Creators: name: Momeni, D.
name: Myrzakulov, R.
name: Güdekli, E.
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Extended $f(R)$ theories of gravity have been investigated from the symmetry point of view. We briefly has been investigated Noether symmetry of two types of extended $f(R)$ theories: $f(R,T)$ theory, in which curvature is coupled non minimally to the trace of energy momentum tensor $T_{μν}$ and mimetic $f (R) $ gravity, a theory with a scalar field degree of freedom, but ghost-free and with internal conformal symmetry. In both cases we write point -like Lagrangian for flat Friedmann-Lemaitre-Robertson-Walker (FLRW) cosmological background in the presence of ordinary matter. We have been shown that some classes of models existed with Noether symmetry in these viable extensions of $f(R)$ gravity. As a motivated idea, we have been investigating the stability of the solutions and the bouncing and $Λ$CDM models using the Noether symmetries. We have been shown that in mimetic $f(R)$ gravity bouncing and $Λ$CDM solutions are possible. Also a class of solutions with future singularities has been investigated.
description: Accepted in "International Journal of Geometric Methods in Modern Physics",22 pages,no figure
Embryonale Stammzellen und Präimplantationsdiagnostik
Creators: name: Schlögel, Herbert
Publisher: name: Internationale katholische Zeitschrift Communio
Year: 2022

description: Internationale katholische Zeitschrift Communio, Bd. 31 Nr. 1 (2002): Internationale katholische Zeitschrift Communio, Band 31, Heft 1
Polynomial Fourier Domain as a Domain of Signal Sparsity
Creators: name: Stankovic, Srdjan
name: Orovic, Irena
name: Stankovic, Ljubisa
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: A compressive sensing (CS) reconstruction method for polynomial phase signals is proposed in this paper. It relies on the Polynomial Fourier transform, which is used to establish a relationship between the observation and sparsity domain. Polynomial phase signals are not sparse in commonly used domains such as Fourier or wavelet domain. Therefore, for polynomial phase signals standard CS algorithms applied in these transformation domains cannot provide satisfactory results. In that sense, the Polynomial Fourier transform is used to ensure sparsity. The proposed approach is generalized using time-frequency representations obtained by the Local Polynomial Fourier transform (LPFT). In particular, the first-order LPFT can produce linear time-frequency representation for chirps. It provides revealing signal local behavior, which leads to sparse representation. The theory is illustrated on examples.
description: submitted to IEEE Transactions of Signal Processing (10 pages, 11 Figures)
الجدوى الفنية –الاقتصادية لصيانة واصلاح مغذيات الجهد المتوسط تحت الجهد  فى منشآت الإنتاج
Creators: name: EL-Shimy, Mohamed
Publisher: name: Figshare
Year: 2019
Subjects: subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: اوضحت دراسة الانقطاعات فى شبكات التوزيع ومنشآت الإنتاج أن فصل المغذيات لاجراء اعمال الصيانة الوقائية والاصلاح وغيرها ينتج عنة عدم استخدام الطاقة الكهربية التى قد تزيد، فى بعض الحالات، عن حجم الطاقة الغير مستخدمة فى حالة الانقطاعات الاضطرارية. خلاف الفصل الاضطرارى الذى يمكن حدوثة فى اوقات مختلفة على مدار اليوم فان الفصل للصيانة والاصلاح، كقاعدة، يتم نهارا، فى اوقات العمل ويستمر على مدار يوم العمل، ومن ثم يتسبب فى تعطيل العمليات الانتاجية مما يكلف المشتركين خسائر جسيمة. ويمكن خفض حجم الطاقة الغير مستخدمة للمشتركين اثناء اجراء اعمال الصيانة والاصلاح على مغذيات الجهد المتوسط عن طريق بعض الأجراءات التنظيمية ( ربط زمن اجراء الاصلاح مع نظم الانتاج عند كبار المشتركين، اجراء اعمال الاصلاح ليلا ...و هكذا) وكذلك عن طريق مد وصلات كبلات تستخدم ككبارى لأجزاء المغذيات تحت الاصلاح وكذلك استخدام وحدات التوليد الأحتياطية ( ديزل/مولد ).تاريخيا، يعتبر اجراء اعمال الصيانة على مغذيات الجهد المتوسط تحت الجهد مع توفير التجزئة اليدوية (بالسكاكين الهوائية) للشبكات احد الطرق ذات التأثير البالغ فى خفض الخسائر وانقطاعات التغذية الكهربية. لابد من التنوية أن الأجرائين – التجزئة اليدوية واصلاح المغذيات تحت الجهد – مرتبطين فيما بينهم وللوصول لأقصى تأثير ممكن لابد من استخدامهما معا بشكل أمثل. تم الوصول الى تقنيات صيانة واصلاح مغذيات الجهد المتوسط تحت الجهد فى الشبكات والمنشآت الصناعية فى اواخر الخمسينيات واوائل الستينيات. الا أن تطبيق هذة الطرق تأخر للآن فى كثير من المنشآت وذلك للحاجة الى اعادة تنظيم تشغيل الشبكات واعداد الكوادر الفنينة وتصنيع الأجهزة الخاصة اللازمة لهذا العمل. استخدام هذة الطرق يسمح بتنفيذ اعمال الاصلاح على الأجزاء العليا للمغذيات وكذلك استبدال الأعمدة وبعض الأعمال الأخرى دون فصل المغذى. توفر اعمال الاصلاح تحت الجهد خفضا يصل الى النصف لأعداد ومدد الانقطاعات اللازمة من اجمالى حجم الأعمال المنفذة فى الوقت الحالى عند اجراء اعمال الاصلاح الجسيمة مع انقطاع التغذية الكهربية. يهدف هذا البحث الى تحديد الجدوى الفنية/الاقتصادية ومجال استخدام طريقة الصيانة والاصلاح تحت الجهد فى مختلف أنواع منشآت الإنتاج  وكذلك تحديد جدوى الاجراءات الضرورية المرتبطة باعتماد هذة الطريقة مثل تجهيز المعدات الفنية اللازمةلاجراء اعمال صيانة واصلاح المغذيات تحت الجهد ونشرها بين المراقبات واعداد الكوادر للعمل تحت الجهد...وهكذا. تقدر الحسابات الأولية ارتفاع تكلفة اعمال الاصلاح على مغذيات الجهد المتوسط تحت الجهد بمقدار 15% على الأقل مقارنة بمثيلاتها مع فصل المغذيات. الا أن هذه الزيادة فى التكلفة تعوض عن طريق خفض الخسارة الناجمة عن انقطاع التغذية الكهربية عن منشآت الإنتاج عند استخدام الطريقة الحالية المستخدمة فى اصلاح مغذيات الجهد المتوسط بفصلها فى حالة الضرورة.
Ecological roles of subsurface microbial taxa from Eastern Australian coal seams
Creators: name: McLeish, Andrew George
Publisher: name: Macquarie University
Year: 2024
Subjects: classificationCode: 399999
subject: Other education not elsewhere classified

description: Microbial communities in subsurface coal seams use fossilised organic matter as a key carbon source. Microbes have been introduced to these environments through either the influx of meteoric water or through movement of microbe-containing water from other aquifers via faulting or similar geological processes. These microbial communities are capable of catabolising complex recalcitrant organic matter derived from coal and converting it into simpler and more biologically accessible forms, namely biogenic methane gas which is both a valuable energy source and a potential environmental hazard (as a greenhouse gas). As a fuel source it has significant advantages over mined coal in that it has reduced environmental and human health impacts and, unlike coal, is a dispatchable source of energy. Despite the economic and environmental importance of biogenic methane, there is a dearth of knowledge associated with the ecological roles that microbial taxa play deep in coal seam environments. The current body of work aimed to improve our understanding of functional roles of microbes in the catabolism of coal to methane through various approaches and techniques. In summary, data in this thesis reveals for the first time that the adherence of microbes to the coal surface is a non-random process in some coals. Further, data generated here provide a new ecological model for which taxa may be involved in coal degradation in eastern Australian settings, providing a list of new taxa that require further investigation to determine their involvement in early coal degradation. Finally, this thesis used targeted strategies to culture, ‘sulfur-active’ taxa from the coal seams. These approaches resulted in the first enrichment culture of the most abundant and ubiquitous taxon from eastern Australian coal seams (Desulfuromonas sp. ‘CSMB_57’) and facilitated the further culturing of Desulfovibrio sp. ‘CSMB_222’. Genomics based analyses of these taxa revealed their possible roles in the coal seam environment which needs to be further explored, namely co-culturing with methanogens and acetogens to investigate any potential syntrophic relationships.
Additional file 6 of Machine learning for identification of silylated derivatives from mass spectra
Creators: name: Ljoncheva, Milka
name: Stepišnik, Tomaž
name: Kosjek, Tina
name: Džeroski, Sašo
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
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
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 6. Structural classification of CEC-TMS derivatives.
Simulation of plume impingement on flat plates via the hybrid Fokker-Planck DSMC approach
Creators: name:  LEO BASOV
name:   MARTIN GRABE
Publisher: name: Proceedings of the Aerospace Europe Conference - EUCASS - CEAS - 2023
Year: 2023
Subjects: DSMC
FOKKERPLANCK EQUATION
RAREFIED GAS FLOWS
KINETIC MODELS

description: Simulations of plume impingement on a flat plate using molecular nitrogen were performed by employing the Fokker-Planck (FP) and Direct Simulation Monte Carlo (DSMC) methods. The FP results are in very good agreement with numerical results achieved using the DSMC method while providing a 4 fold speed up when applying the same spatial and temporal resolution. The numerical results were also compared to experimental data measured at the German Aerospace Center (DLR) Goettingen. Both the FP as well as DSMC methods show good agreement with experimental data and reproduce behavior found in literature.
Convergence analysis of the thermal discrete dipole approximation
Creators: name: Edalatpour, Sheila
name: Cuma, Martin
name: Trueax, Tyler
name: Backman, Roger
name: Francoeur, Mathieu
Publisher: name: arXiv
Year: 2015
Subjects: subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: The thermal discrete dipole approximation (T-DDA) is a numerical approach for modeling near-field radiative heat transfer in complex three-dimensional geometries. In this work, the convergence of the T-DDA is investigated by comparison against the exact results for two spheres separated by a vacuum gap. The error associated with the T-DDA is reported for various sphere sizes, refractive indices and vacuum gap thicknesses. The results reveal that for a fixed number of subvolumes, the accuracy of the T-DDA degrades as the refractive index and the sphere diameter to gap ratio increase. A converging trend is observed as the number of subvolumes increases. The large computational requirements associated with increasing the number of subvolumes, and the shape error induced by large sphere diameter to gap ratios, are mitigated by using a nonuniform discretization scheme. Nonuniform discretization is shown to significantly accelerate the convergence of the T-DDA, and is thus recommended for near-field thermal radiation simulations. Errors less than 5% are obtained in 74% of the cases studied by using up to 82712 subvolumes. Additionally, the convergence analysis demonstrates that the T-DDA is very accurate when dealing with surface polariton resonant modes dominating radiative heat transfer in the near field.
description: 46 pages, 12 figures, 3 tables
وحدات التوليد الاحتياطي لوحدات الإنتاج Backup Generation (Gensets) for Production Facilities
Creators: name: EL-Shimy, Mohamed
Publisher: name: Figshare
Year: 2019
Subjects: subject: 91305 Energy Generation, Conversion and Storage Engineering
subject: FOS: Mechanical engineering

description: أصبح رفع عول التغذية الكهربية للمشتركين مطلب الجميع حيث يوصى بمباشرة الطرق المختلفة لرفع عول التغذية الكهربية بما فيها استخدام وحدات التوليد الاحتياطي لا مركزيا( لدى المشتركين ). أن أبسط أنواع إنتاج الطاقة اللامركزية يتحقق بتركيب وحدات توليد احتياطي غير مكلفة بمحركات ديزل وربما في حالات متفرقة بمحركات تعمل بالبنزين (بسعات من 5 ك.وات إلى عدة ميجاوات)، مباشرة لدى المشتركين الذين يحتاجون تغذية بدون انقطاع. يقدم هذا التقرير دراسة عن الخواص الفنية والإقتصادية والبيئية لوحدات التوليد الإحتياطى المناسبة للتشغيل بمختلف وحدات الإنتاج
Additional file 2 of Guiding organisational decision-making about COVID-19 asymptomatic testing in workplaces: mixed-method study to inform an ethical framework
Creators: name: van der Scheer, Jan W.
name: Ansari, Akbar
name: McLaughlin, Meredith
name: Cox, Caitríona
name: Liddell, Kathleen
name: Burt, Jenni
name: George, Jenny
name: Kenny, Rebecca
name: Cousens, Ruth
name: Leach, Brandi
name: McGowan, James
name: Morley, Katherine
name: Willars, Janet
name: Dixon-Woods, Mary
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Cancer
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 2. Interview guide used in the case study consultation.
خسارة المشتركين الناجمة عن انقطاع التيار في منشآت الإنتاج Customer Interruption Costs in Production Facilities
Creators: name: EL-Shimy, Mohamed
Publisher: name: Figshare
Year: 2019
Subjects: subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: لابد أن تختار المتغيرات الأساسية للشبكات الكهربية وكذلك خواص المعدات المستخدمة بها على أساس دراسات الجدوى الفنية/الاقتصادية. ويلزم لدراسة الجدوى الفنية/الاقتصادية تقدير مستوى عول التغذية الكهربية ومن ثم حساب حجم الخسارة لدى المشتركين نتيجة لانقطاع التيار. كما أن بيانات خسارة المشتركين لازمة أيضا لتحديد جدوى الإجراءات المختلفة لرفع عول الشبكات الحالية. عموما تعمل الآلات والماكينات لدى المشتركين بشكل دوري على مدار اليوم والفصول والسنة ويلزم، عند انقطاع التيار، تعديل العملية الإنتاجية، وإعادة تنظيم العمل، الأمر الذي ينجم عنة خسارة كبيرة للمشتركين. ويعتمد حجم الخسارة على مستوي وخواص الإنتاج.
Search for $δ^{\pm\pm}$ with new decay patterns at the LHC
Creators: name: Chen, Chuan-Hung
name: Nomura, Takaaki
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A study of searching for doubly charged Higgs $(δ^{\pm \pm})$ is performed in two-Higgs-doublet extension of the conventional type-II seesaw model. We find that a fantastic mixing effect between singly charged Higgs of Higgs doublet and of triplet is arisen from the scalar potential. The mixing leads to following intriguing phenomena: (a) the mass splittings in triplet particles are magnified, (b) QCD processes dominate the production of $δ^{\pm \pm}$, and (c) new predominant decay channels of $δ^{\pm \pm}$ are $δ^{\pm \pm} \to W^{\pm^{[*]}} H^{\pm^{(*)}}_{1(2)}$, but not $δ^{\pm} \to (\ell^\pm \ell^\pm, W^\pm W^\pm)$ which are usually discussed in the literature. With luminosity of 40 fb$^{-1}$ and collision energy of 13 TeV, we demonstrate that $δ^{\pm \pm}$ with mass below $330$ GeV could be observed at the $5σ$ level. Moreover, when the luminosity approaches to 300 fb$^{-1}$, the observed mass of $δ^{\pm \pm}$ could reach up to 450 GeV.
description: 21 pages, 12 figures, published version, title is slightly changed
Safety, Pharmacokinetics and Pharmacodynamics in Healthy Volunteers of THDBH130, A Selective URAT1 Inhibitor
Creators: name: Du, Zhiqiang
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 320208
subject: Endocrinology

description: This file is supplementary material of a phase I, randomized, double-blind, placebo-controlled study, which consists of a single ascending dose (SAD) and multiple ascending dose (MAD) part.
إحصائيات أسباب انقطاع التيار عن المشتركين بشبكات توزيع القوي الكهربية Statistics of Customer Interruptions in Power Distribution Network – A private study
Creators: name: EL-Shimy, Mohamed
Publisher: name: Figshare
Year: 2019
Subjects: subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: : يمكن تحديد مؤشرات عول التغذية الكهربية لشبكات التوزيع عن طريق دراسة وتحليل انقطاعات التيار مباشرة لدى المشتركين أو من البيانات الإحصائية عن الانقطاعات بالمواقع المختلفة بنظم التغذية الكهربية. تعطى الطريقة الأولى، في حالة القيد الصحيح للانقطاعات، أعلى النتائج دقة عن عدد مرات وطول فترة انقطاعات التغذية الكهربية إلى المشتركين. كذلك تمكن البيانات الإحصائية عن الفصل بالمواقع المختلفة لشبكات التوزيع من تحديد المستوى العام لعول التغذية الكهربية بدقة كافية.