cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Renyi Holographic Dark Energy models in Teleparallel gravity
Creators: name: Bhardwaj, Vinod Kumar
name: Dixit, Archana
name: Pradhan, Anirudh
name: Krishannair, Symala
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper, we have investigated the physical behavior of cosmological models in the framework of modified Teleparallel gravity. This model is established using a Renyi holographic ``dark energy model (RHDE) with a Hubble cutoff. Here we have considered a homogeneous and isotropic Friedman universe filled with perfect `fluid. The physical parameters are derived for the present model in Compliances with 43 observational Hubble data sets (OHD). The equation of state (EoS) parameter in terms of $H(z)$ describes a the transition of the universe between phantom and non-phantom phases in the context of $f(T)$ gravity. Our model shows the violation of strong energy condition (SEC) and the weak energy condition (WEC) over the accelerated phantom regime. We also observed that these models occupy freezing regions through $ω_{D} -ω_{D}^{'}$ plane. Consequently, our Renyi HDE model is supported to the consequences of general relativity in the framework of $f(T)$ modified gravity.
description: 19 pages, 13 figures
The renal processing of glomerular filtered albumin
Creators: name: Eppel., Gabriela A.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Fibonacci numbers, consecutive patterns, and inverse peaks
Creators: name: Troyka, Justin M.
name: Zhuang, Yan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05A05, 05A15, 05A19, 05E05, 11B39, 68Q45

description: We give multiple proofs of two formulas concerning the enumeration of permutations avoiding a monotone consecutive pattern with a certain value for the inverse peak number or inverse left peak number statistic. The enumeration in both cases is given by a sequence related to Fibonacci numbers. We also show that there is exactly one permutation whose inverse peak number is zero among all permutations with any fixed descent composition, and we give a few elementary consequences of this fact. Our proofs involve generating functions, symmetric functions, regular expressions, and monomino-domino tilings.
description: 17 pages
Alleviating $H_0$ tension in Horndeski gravity
Creators: name: Petronikolou, Maria
name: Basilakos, Spyros
name: Saridakis, Emmanuel N.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We show that the $H_0$ tension can be alleviated in the framework of Horndeski/generalized galileon gravity. In particular, since the terms depending on $G_5$ control the friction in the Friedmann equation, we construct specific sub-classes in which it depends only on the field's kinetic energy. Since the latter is small at high redshifts, namely at redshifts which affected the CMB structure, the deviations from $Λ$CDM cosmology are negligible, however as time passes it increases and thus at low redshifts the Hubble function acquires increased values in a controlled way. We consider two Models, one with quadratic and one with quartic dependence on the field's kinetic energy. In both cases we show the alleviation of the tension, resulting to $H_0 \approx 74$ km/s/Mpc for particular parameter choices. Finally, we examine the behavior of scalar metric perturbations, showing that the conditions for absence of ghost and Laplacian instabilities are fulfilled throughout the evolution, and we confront the models with SNIa data.
description: 9 pages, 8 figures, to appear in Phys.Rev.D
CENN: Conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries
Creators: name: Wang, Yizheng
name: Sun, Jia
name: Li, Wei
name: Lu, Zaiyuan
name: Liu, Yinghua
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We propose a conservative energy method based on neural networks with subdomains for solving variational problems (CENN), where the admissible function satisfying the essential boundary condition without boundary penalty is constructed by the radial basis function (RBF), particular solution neural network, and general neural network. The loss term is the potential energy, optimized based on the principle of minimum potential energy. The loss term at the interfaces has the lower order derivative compared to the strong form PINN with subdomains. The advantage of the proposed method is higher efficiency, more accurate, and less hyperparameters than the strong form PINN with subdomains. Another advantage of the proposed method is that it can apply to complex geometries based on the special construction of the admissible function. To analyze its performance, the proposed method CENN is used to model representative PDEs, the examples include strong discontinuity, singularity, complex boundary, non-linear, and heterogeneous problems. Furthermore, it outperforms other methods when dealing with heterogeneous problems.
description: 39 pages, 22 figures, 1 graphical abstract
Fast and Interpretable Consensus Clustering via Minipatch Learning
Creators: name: Gan, Luqin
name: Allen, Genevera I.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Consensus clustering has been widely used in bioinformatics and other applications to improve the accuracy, stability and reliability of clustering results. This approach ensembles cluster co-occurrences from multiple clustering runs on subsampled observations. For application to large-scale bioinformatics data, such as to discover cell types from single-cell sequencing data, for example, consensus clustering has two significant drawbacks: (i) computational inefficiency due to repeatedly applying clustering algorithms, and (ii) lack of interpretability into the important features for differentiating clusters. In this paper, we address these two challenges by developing IMPACC: Interpretable MiniPatch Adaptive Consensus Clustering. Our approach adopts three major innovations. We ensemble cluster co-occurrences from tiny subsets of both observations and features, termed minipatches, thus dramatically reducing computation time. Additionally, we develop adaptive sampling schemes for observations, which result in both improved reliability and computational savings, as well as adaptive sampling schemes of features, which leads to interpretable solutions by quickly learning the most relevant features that differentiate clusters. We study our approach on synthetic data and a variety of real large-scale bioinformatics data sets; results show that our approach not only yields more accurate and interpretable cluster solutions, but it also substantially improves computational efficiency compared to standard consensus clustering approaches.
title: Abdominoplastik beim DIEP ohne Drainagen – Erste Erfahrungen mit Tissu Glu R
Creators: name: Otte, Maximilian
name: Munder, Beatrix
name: Hagouan, Mazen
name: Richrath, Philipp
name: Stambera, Peter
name: Abu-Ghazaleh, Alina
name: Andree, Christoph
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Einleitung: Die Verwendung von Tissu Glu R zum Verschluss von Abdominoplastiken ist mittlerweile weit verbreitet. Es konnte gezeigt werden, dass der Einsatz des Gewebeklebers die Fördermenge der einliegenden Drainagen signifikant verringert und sogar der Verzicht auf Drainagen möglich ist.[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 53. Jahrestagung der Deutschen Gesellschaft für Plastische und Wiederherstellungschirurgie (DGPW)
Impulsivity, inhibitory control, & aggression among violent offenders
Creators: name: Enticott., Peter Gregory
Publisher: name: Monash University
Year: 2021
Subjects: classificationCode: 520103
subject: Forensic psychology

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Direct reconstruction of the two-dimensional pair distribution function in systems with angular correlations
Creators: name: Zaluzhnyy, I. A.
name: Kurta, R. P.
name: Menushenkov, A. P.
name: Ostrovskii, B. I.
name: Vartanyants, I. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: An x-ray scattering approach to determine the two-dimensional (2D) pair distribution function (PDF) in partially ordered 2D systems is proposed. We derive relations between the structure factor and PDF that enable quantitative studies of positional and bond-orientational (BO) order in real space. We apply this approach in the x-ray study of a liquid crystal (LC) film undergoing the smectic-hexatic phase transition, to analyze the interplay between the positional and BO order during the temperature evolution of the LC film. We analyze the positional correlation length in different directions in real space.
description: 23 pages, 8 figures
title: A clinical study of ICG fluorescence microscopy in neurosurgical revision surgery
Creators: name: Lindner, Dirk
name: Meixensberger, Jürgen
name: Hemprich, Alexander
name: Halama, Dirk
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Fluorescence microscopy is an innovative tool for the intraoperative evaluation of perfusion in soft tissue structures. In secondary neurosurgical interventions wound closure is highly endangered by the disturbance of tissue perfusion in scar tissue. Revision surgery has included cranioplasty,[for full text, please go to the a.m. URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Combinatorial proofs of multivariate Cayley--Hamilton theorems
Creators: name: Ayyer, Arvind
name: Sundaravaradan, Naren
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: 05A19, 05A05, 05C20, 15A15

description: We give combinatorial proofs of two multivariate Cayley--Hamilton type theorems. The first one is due to Phillips (Amer. J. Math., 1919) involving $2k$ matrices, of which $k$ commute pairwise. The second one regards the mixed discriminant, a matrix function which has generated a lot of interest in recent times. Recently, the Cayley--Hamilton theorem for mixed discriminants was proved by Bapat and Roy (Comb. Math. and Comb. Comp., 2017). We prove a Phillips-type generalization of the Bapat--Roy theorem involving $2nk$ matrices, where $n$ is the size of the matrices, among which $nk$ commute pairwise. Our proofs generalize the univariate proof of Straubing (Disc. Math., 1983) for the original Cayley--Hamilton theorem in a nontrivial way, and involve decorated permutations and decorated paths.
description: 20 pages, 9 figures, minor corrections, final version
The wind nebula around magnetar Swift J1834.9-0846
Creators: name: Younes, G.
name: Kouveliotou, C.
name: Kargaltsev, O.
name: Gill, R.
name: Granot, J.
name: Watts, A. L.
name: Gelfand, J.
name: Baring, M. G.
name: Harding, A.
name: Pavlov, G. G.
name: van der Horst, A. J.
name: Huppenkothen, D.
name: Göğüş, E.
name: Lin, L.
name: Roberts, O. J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We report on the analysis of two deep XMM-Newton observations of the magnetar Swift J1834.9-0846 and its surrounding extended emission taken in March 2014 and October 2014, 2.5 and 3.1 years after the source went into outburst. The magnetar is only weakly detected in the first observation with an absorption corrected flux $F_{\rm 0.5-10 keV}\approx4\times10^{-14}$ erg s$^{-1}$ cm$^{-2}$, and a $3σ$ upper limit during the second observation of about $3\times10^{-14}$ erg s$^{-1}$ cm$^{-2}$. This flux level is more than 3 orders of magnitude lower than the flux measured at the outburst onset on September 2011. The extended emission, centered at the magnetar position and elongated towards the south-west, is clearly seen in both observations; it is best fit by a highly absorbed power-law (PL), with a hydrogen column density of $N_{\rm H}=8.0\times10^{22}$ cm$^{-2}$ and PL photon index $Γ=2.2\pm0.2$. Its flux is constant between the two observations at $F_{\rm 0.5-10 keV}=1.3\times10^{-12}$ erg s$^{-1}$ cm$^{-2}$. We find no statistically significant changes in the spectral shape or the flux of this extended emission over a period of 9 years from 2005 to 2014. These new results strongly support the extended emission nature as a wind nebula and firmly establish Swift J1834.9-0846 as the first magnetar to show a surrounding wind nebula. Further, our results imply that such nebulae are no longer exclusive to rotation-powered pulsars and narrow the gap between these two sub-populations of isolated neutron stars. The size and spectrum of the nebula are compatible with those of pulsar-wind nebulae but its radiative efficiency $η_{\rm X}=L_{\rm X}/\dot{E}\approx0.1$ is markedly high, possibly pointing to an additional wind component in Swift J1834.9-0846.
description: 12 Pages, 7 Figures, accpeted for publication in ApJ
Density-matrix functional theory of the attractive Hubbard model: Statistical analogy of pairing correlations
Creators: name: Müller, T. S.
name: Pastor, G. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The ground-state properties of the Hubbard model with attractive local pairing interactions are investigated in the framework of lattice density-functional theory. A remarkable correlation is revealed between the interaction-energy functional $W[\boldsymbolη]$ corresponding to the Bloch-state occupation-number distribution $η_{\boldsymbol{k}σ}$ and the entropy $S[\boldsymbolη]$ of a system of non-interacting fermions having the same $η_{\boldsymbol{k}σ}$. The relation between $W[\boldsymbolη]$ and $S[\boldsymbolη]$ is shown to be approximately linear for a wide range of ground-state representable occupation-number distributions $η_{\boldsymbol{k}σ}$. Taking advantage of this statistical analogy, a simple explicit ansatz for $W[\boldsymbolη]$ of the attractive Hubbard model is proposed, which can be applied to arbitrary periodic systems. The accuracy of this approximation is demonstrated by calculating the main ground state properties of the model on several 1D and 2D bipartite and non-bipartite lattices and by comparing the results with exact diagonalizations.
Algorithms for progressing crystallographic fragment hits at XChem: Fragment merging using the Fragment Network
Creators: name: Wills, Stephanie
Publisher: name: Zenodo
Year: 2023
Subjects: AViDD
Antiviral Drug Discovery
Antiviral Drug Discovery Open Science Forum
AViDD Open Science Forum
Open Science Forum
open science

description: This is Stephanie Wills' presentation at the monthly [virtual] Antiviral Drug Discovery (AViDD) Open Science Forum on 2023-09-20.

 You can find a recording of their talk on the [AViDD Open Science Forum Youtube page](https://www.youtube.com/channel/UCDwwIkoBVkqzVYn0t5AWmeQ/featured).
 Stephanie Wills is part of the ASAP Discovery Consortium.
Analysis of the first Genetic Engineering Attribution Challenge
Creators: name: Crook, Oliver M.
name: Warmbrod, Kelsey Lane
name: Lipstein, Greg
name: Chung, Christine
name: Bakerlee, Christopher W.
name: McKelvey, T. Greg
name: Holland, Shelly R.
name: Swett, Jacob L.
name: Esvelt, Kevin M.
name: Alley, Ethan C.
name: Bradshaw, William J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: The ability to identify the designer of engineered biological sequences -- termed genetic engineering attribution (GEA) -- would help ensure due credit for biotechnological innovation, while holding designers accountable to the communities they affect. Here, we present the results of the first Genetic Engineering Attribution Challenge, a public data-science competition to advance GEA. Top-scoring teams dramatically outperformed previous models at identifying the true lab-of-origin of engineered sequences, including an increase in top-1 and top-10 accuracy of 10 percentage points. A simple ensemble of prizewinning models further increased performance. New metrics, designed to assess a model's ability to confidently exclude candidate labs, also showed major improvements, especially for the ensemble. Most winning teams adopted CNN-based machine-learning approaches; however, one team achieved very high accuracy with an extremely fast neural-network-free approach. Future work, including future competitions, should further explore a wide diversity of approaches for bringing GEA technology into practical use.
description: Main text: 11 pages, 4 figures, 37 references. Supplementary materials: 29 pages, 2 supplementary tables, 21 supplementary figures
The Victorian koala : genetic heterogeneity, immune responsiveness and epizootiology of chlamydiosis
Creators: name: Emmins., John Jeffrey
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
title: Damage control beim Abdominaltrauma – Ergebnisse eines überregionalen Traumazentrums seit 20 Jahren
Creators: name: Weigert, Nadja
name: Fabig, Stefan
name: Zaage, Joachim
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Einleitung: Die Versorgung des polytraumatisierten Patienten nimmt im überregionlen Traumazentrum eine zentrale Stellung ein. Neben dem absolut reibungslosen Schockraummanagement ist die konsequente Anwendung des Damage control Prinzips unseres Erachtens eine essentielle Voraussetzung für [zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
A Radar Signal Deinterleaving Method Based on Semantic Segmentation with Neural Network
Creators: name: Chao, Wang
name: Liting, Sun
name: Zhangmeng, Liu
name: Zhitao, Huang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Radar signal deinterleaving is an important part of electronic reconnaissance. This study proposes a new radar signal deinterleaving method based on semantic segmentation, which we call "semantic segmentation deinterleaving" (SSD). We select representative sequence modeling neural network (NN) architectures and input the difference of time of arrival of the pulse stream into them. According to semantics contained in different radar signal types, each pulse in the pulse stream is marked according to the category of semantics contained, and radar signals are deinterleaved. Compared to the traditional deinterleaving method, the SSD method can adapt to complex pulse repetition interval (PRI) modulation environments without searching the PRI or PRI period. Multiple rounds of search and merging operation are not required for radar signals with multiple pulses in a period. Compared to other deinterleaving methods based on NNs, the SSD method does not need to digitize the data and train a network for each target type. The SSD method also does not need to iterate input and output data. The proposed method has high robustness to pulse loss and noise pulses. This research also shows that recurrent NNs still have more advantages than convolutional NNs in this sequence modeling task.
description: 10 pages, 18 figures
Polarized-Deuteron Stripping Reaction at Intermediate Energies
Creators: name: Kovalchuk, Valery I.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: A general analytical expressions for the cross-section and the polarization of nucleons arising in the inclusive deuteron stripping reaction have been derived in the diffraction approximation. The nucleon-nucleus phases were calculated in the framework of Glauber formalism and making use of the double-folding potential. The tabulated distributions of the target nucleus density and the realistic deuteron wave function with correct asymptotic at large nucleon-nucleon distances were used. The calculated angular dependences for the cross-sections and the analyzing powers of the $(\vec{d},p)$ reaction are in good agreement with corresponding experimental data.
title: ActiGait implantable drop foot stimulator in multiple sclerosis – a new indication
Creators: name: Martin, Klaus Daniel
name: Polanski, Witold
name: Schulz, Anne-Kathrin
name: Jöbges, Michael
name: Eisele, Judith
name: Thomas, Katja
name: Ziemssen, Tjalf
name: Schackert, Gabriele
name: Pinzer, Thomas
name: Sobottka, Stephan
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: A direct stimulation of the peroneal nerve by ActiGait implantable drop foot stimulator is a potent therapy, which was already described for stroke related drop foot. Materials and methods: We firstly report the successful application of ActiGait implantable drop foot stimulator in 6[for full text, please go to the a.m. URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Confounds and Overestimations in Fake Review Detection: Experimentally Controlling for Product-Ownership and Data-Origin
Creators: name: Soldner, Felix
name: Kleinberg, Bennett
name: Johnson, Shane
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: The popularity of online shopping is steadily increasing. At the same time, fake product reviewsare published widely and have the potential to affect consumer purchasing behavior. In response,previous work has developed automated methods for the detection of deceptive product reviews.However, studies vary considerably in terms of classification performance, and many use data thatcontain potential confounds, which makes it difficult to determine their validity. Two possibleconfounds are data-origin (i.e., the dataset is composed of more than one source) and productownership (i.e., reviews written by individuals who own or do not own the reviewed product). Inthe present study, we investigate the effect of both confounds for fake review detection. Using anexperimental design, we manipulate data-origin, product ownership, review polarity, and veracity.Supervised learning analysis suggests that review veracity (60.26 - 69.87%) is somewhat detectablebut reviews additionally confounded with product-ownership (66.19 - 74.17%), or with data-origin(84.44 - 86.94%) are easier to classify. Review veracity is most easily classified if confounded withproduct-ownership and data-origin combined (87.78 - 88.12%), suggesting overestimations of thetrue performance in other work. These findings are moderated by review polarity.
title: Intraoperative diagnostische Methoden in der peripheren Nervenchirurgie
Creators: name: Pedro, Maria Teresa
name: König, Ralph
name: Antoniadis, Gregor
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Einleitung: Seit Jahren wird Sodium-Fluorescein (Yellow 560 nm) in der Augenheilkunde angewandt. 2013 veröffentlichte eine Gruppe aus Regensburg (Schebesch KM et al.) eine Studie über 35 Patienten, die an malignen Hirntumoren unter Verwendung von Sodium-Fluorescein operiert wurden. Die Ergebnisse[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Smart city private wireless network use cases & challenges
Creators: Sana Salman
Publisher: name: University of Alberta Library
Year: 2023

The population of urban regions is growing by about 55% and will reach 68% in 2050, according to the UN. For the benefit of their citizens, companies, and visitors, municipalities are investing in technology to increase safety, mobility, sustainability, and efficiency.

Municipalities needed sustainable infrastructure due to this related growth and the resulting global demographic shift to guarantee future-proof cities. In addition, municipalities are undergoing a digital transformation and evolving into intelligent cities as they boost connectivity, advancing services for companies and citizens to designate cities as places that will not only improve quality of life but also guarantee sustainability, security, and safety, as well as draw in more tourists and investors.

The sustainable or prospective concept of smart cities demands outstanding performance and consistent connectivity. In most cases, fiber-based connections between intelligent cities and conventional telecommunications and internet service providers are made. The Internet of Things (IoT) is rising exponentially; there are more connected devices, and advances in communication technology, like 5G, can support a path forward with a privately owned network that can connect people, sensors, and smart objects by utilizing advanced technology. A few examples of the extensive real-time communication required for managing this rise in devices in digital cities include the expanding traffic management and rerouting systems, an intelligent surveillance security system that reduces crime with real-time control, and autonomous and connected vehicles.

Efficient urban planning while increasing population day by day in urban areas requires effective initiatives that include advanced traffic management, smart security, optimization of traffic routes, control of connected and autonomous vehicles, advancement in the mobilization of security, police, ambulance or firefighters, and many environmental initiatives require massive extensive data management with high-speed connectivity and low latency that in some extent possible with standard fiber connectivity but not efficient, sustainable and future proving.
A structural investigation into T-cell receptor allorecognition
Creators: name: Ely., Lauren Kate
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Nonhomogeneous associative Yang-Baxter equations
Creators: name: Ma, Tianshui
name: Li, Jie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: We introduce the notion of associative (BiHom-)Yang-Baxter pair of weight $(λ,γ)$ which can provide the solution to the double curved Rota-Baxter (BiHom-)system. Equivalent characterizations of (quasitriangular) covariant BiHom-bialgebra are given. We also prove that associative BiHom-Yang-Baxter equation of weight $-1$ can be obtained by the unitary quasitriangular covariant BiHom-bialgebra. At last, we present two approaches to construct (BiHom-)pre-Lie modules from Rota-Baxter (BiHom-)paired modules.
Testing Models of Quasar Hosts With Strong Gravitational Lensing by Quasar Hosts
Creators: name: Cen, Renyue
name: Safarzadeh, Mohammadtaher
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We perform a statistical analysis of strong gravitational lensing by quasar hosts of background galaxies, in the two competing models of dark matter halos of quasars, HOD and CS models. Utilizing the BolshoiP Simulation we demonstrate that strong gravitational lensing provides a potentially very powerful test of models of quasar hosting halos. For quasars at $z=0.5$, the lensing probability by quasars of background galaxies in the HOD model is higher than that of the CS model by two orders of magnitude or more for lensing image separations in the range of $θ\sim 1.2-12~$arcsec. To observationally test this, we show that, as an example, at the depth of the CANDELS wide field survey and with a quasar sample of $1000$ at $z=0.5$, the two models can be differentiated at $3-4σ$ confidence level.
description: 6 pages, 4 figures, submitted to MNRAS
title: Can early oral glucose tolerance test define remission and help to improve the outcome after transsphenoidal surgery in patients with acromegaly?
Creators: name: Wang, Yawen
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Acromegaly is associated with increased morbidity and mortality. Surgery as first-line therapy is the only therapeutic option which can achieve immediate GH regression. The detection of postoperative residual disease should be defined early to optimize following management strategies. In[for full text, please go to the a.m. URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
title: Применение кормового средства на основе растительных отходов в птицеводстве
Creators: name: Данилова, Александра Александровна
name: Власов, Артем Борисович
name: Юрин, Денис Анатольевич
name: Овсепьян, Ваган Акопович
name: Свистунов, Андрей Анатольевич
name: Петенко, Александр Иванович
name: Гнеуш, Анна Николаевна
Publisher: name: ФГБНУ КНЦЗВ
Year: 2022

description: В данной статье освещено применение фитодобавки с сорбционными свойствами в кормлении цыплят-бройлеров кросса «Кобб-500». В результате применения фитодобавки от-мечена тенденция к увеличению живой массы на 4,2 %, снижению затрат кормов на 1 кг при-роста живой массы на 4,3 %, повышению сохранности на 3,0 %, улучшился состав микрофло-ры слепых отростков кишечника за счет увеличения числа лактобактерий до 9х109 КОЕ про-тив 1х106 КОЕ в контроле.
Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation
Creators: name: Mercier, Alexander M.
name: Scarpino, Samuel V.
name: Moore, Cristopher
Publisher: name: arXiv
Year: 2021
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Network science has increasingly become central to the field of epidemiology and our ability to respond to infectious disease threats. However, many networks derived from modern datasets are not just large, but dense, with a high ratio of edges to nodes. This includes human mobility networks where most locations have a large number of links to many other locations. Simulating large-scale epidemics requires substantial computational resources and in many cases is practically infeasible. One way to reduce the computational cost of simulating epidemics on these networks is sparsification, where a representative subset of edges is selected based on some measure of their importance. We test several sparsification strategies, ranging from naive thresholding to random sampling of edges, on mobility data from the U.S. Following recent work in computer science, we find that the most accurate approach uses the effective resistances of edges, which prioritizes edges that are the only efficient way to travel between their endpoints. The resulting sparse network preserves many aspects of the behavior of an SIR model, including both global quantities, like the epidemic size, and local details of stochastic events, including the probability each node becomes infected and its distribution of arrival times. This holds even when the sparse network preserves fewer than $10\%$ of the edges of the original network. In addition to its practical utility, this method helps illuminate which links of a weighted, undirected network are most important to disease spread.
title: Updated Follow-up on Peripheral Nerve Field Stimulation for Trigeminal Neuralgia, Trigeminal Neuropathic Pain, and Persistent Idiopathic Facial Pain
Creators: name: Klein, Johann
name: Sandi-Gahun, Sahr
name: Schackert, Gabriele
name: Juratli, Tareq
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Peripheral nerve field stimulation (PNFS) is a promising modality for treatment of intractable facial pain. However, evidence is sparse. We are therefore presenting our experience with this technique in a small patient cohort with an update on our published data. Materials and methods:[for full text, please go to the a.m. URL]
description: 133. Kongress der Deutschen Gesellschaft für Chirurgie
Positive feedback, quenching and sequential super star cluster (SSC) formation in NGC 4945
Creators: name: Bellocchi, E,
name: Martín-Pintado, J.
name: Rico-Villas, F.
name: Jimenez-Sierra, I.
name: Martín, S.
Publisher: name: Zenodo
Year: 2022
Subjects: Positive feedback, star formation

description: We present ALMA imaging of vibrationally excited HC3N (v71, v61, v72) and HCN,v21 emissions to study the earliest phase of formation and evolution of Super Star Cluster (SSCs) in the composite star-burst/AGN galaxy NGC 4945. The proto-SSCs-HC3N located at the edges of the shocked gas observed in the CO(3-2) outflow (Bolatto et al. 2021) suggest that the oufllow induces positive stellar feedback in the nearby shocked regions.
Magnet for the needle in haystacks: Unlocking chemical matter using "crystal structure first" fragment hits
Creators: name: Glincha, Serghei
Publisher: name: Zenodo
Year: 2023
Subjects: AViDD
Antiviral Drug Discovery
Antiviral Drug Discovery Open Science Forum
AViDD Open Science Forum
Open Science Forum
open science

description: This is Serghei Glinca's presentation at the monthly [virtual] Antiviral Drug Discovery (AViDD) Open Science Forum on 2023-09-20. You can find a recording of their talk on the [AViDD Open Science Forum Youtube page](https://www.youtube.com/channel/UCDwwIkoBVkqzVYn0t5AWmeQ/featured)
Stability of $C^\infty$ convex integrands
Creators: name: Batista, Erica Boizan
name: Han, Huhe
name: Nishimura, Takashi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 58K05, 58K25

description: In this paper, it is shown that the set consisting of stable convex integrands $S^n\to \mathbb{R}_+$ is open and dense in the set consisting of $C^\infty$ convex integrands with respect to Whitney $C^\infty$ topology. Moreover, an application of the proof of this result is also shown.
description: 7 pages
A Deep Learning Generative Model Approach for Image Synthesis of Plant Leaves
Creators: name: Benfenati, Alessandro
name: Bolzi, Davide
name: Causin, Paola
name: Oberti, Roberto
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Objectives. We generate via advanced Deep Learning (DL) techniques artificial leaf images in an automatized way. We aim to dispose of a source of training samples for AI applications for modern crop management. Such applications require large amounts of data and, while leaf images are not truly scarce, image collection and annotation remains a very time--consuming process. Data scarcity can be addressed by augmentation techniques consisting in simple transformations of samples belonging to a small dataset, but the richness of the augmented data is limited: this motivates the search for alternative approaches. Methods. Pursuing an approach based on DL generative models, we propose a Leaf-to-Leaf Translation (L2L) procedure structured in two steps: first, a residual variational autoencoder architecture generates synthetic leaf skeletons (leaf profile and veins) starting from companions binarized skeletons of real images. In a second step, we perform translation via a Pix2pix framework, which uses conditional generator adversarial networks to reproduce the colorization of leaf blades, preserving the shape and the venation pattern. Results. The L2L procedure generates synthetic images of leaves with a realistic appearance. We address the performance measurement both in a qualitative and a quantitative way; for this latter evaluation, we employ a DL anomaly detection strategy which quantifies the degree of anomaly of synthetic leaves with respect to real samples. Conclusions. Generative DL approaches have the potential to be a new paradigm to provide low-cost meaningful synthetic samples for computer-aided applications. The present L2L approach represents a step towards this goal, being able to generate synthetic samples with a relevant qualitative and quantitative resemblance to real leaves.
The physical mechanism behind M dwarf metallicity indicators and the role of C and O abundances
Creators: name: Veyette, Mark J.
name: Muirhead, Philip S.
name: Mann, Andrew W.
name: Allard, France
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present NIR synthetic spectra based on PHOENIX stellar atmosphere models of typical early and mid M dwarfs with varied C and O abundances. We apply multiple recently published methods for determining M dwarf metallicity to our models to determine the effect of C and O abundances on metallicity indicators. We find that the pseudo-continuum level is very sensitive to C/O and that all metallicity indicators show a dependence on C and O abundances, especially in lower Teff models. In some cases the inferred metallicity ranges over a full order of magnitude (>1 dex) when [C/Fe] and [O/Fe] are varied independently by +/-0.2. We also find that [(O-C)/Fe], the difference in O and C abundances, is a better tracer of the pseudo-continuum level than C/O. Models of mid-M dwarfs with [C/Fe], [O/Fe], and [M/H] that are realistic in the context of galactic chemical evolution suggest that variation in [(O-C)/Fe] is the primary physical mechanism behind the M dwarf metallicity tracers investigated here. Empirically calibrated metallicity indicators are still valid for most nearby M dwarfs due to the tight correlation between [(O-C)/Fe] and [Fe/H] evident in spectroscopic surveys of solar neighborhood FGK stars. Variations in C and O abundances also affect the spectral energy distribution of M dwarfs. Allowing [O/Fe] to be a free parameter provides better agreement between synthetic spectra and observed spectra of metal-rich M dwarfs. We suggest that flux-calibrated, low-resolution, NIR spectra can provide a path toward measuring C and O abundances in M dwarfs and breaking the degeneracy between C/O and [Fe/H] present in M dwarf metallicity indicators.
description: accepted for publication in ApJ, all synthetic spectra available at http://people.bu.edu/mveyette/phoenix/, v2 - corrected figures 1 and 2 y-axis
هل المجلات التي مؤشرات تصنيفها منخفضة مثل عامل التأثير، السايتسكور، ومعامل هيرتش لا تصلح للنشر وتعتبر تجارية
Creators: name: I.Al-Mosawi, Ali
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 399999
subject: Other education not elsewhere classified

description: http://dx.doi.org/10.13140/RG.2.2.15299.17444
Mechanisms of ataxin-3 misfolding and fibril formation
Creators: name: Ellisdon., Andrew M.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Statistische Modellierung und Optimierung multipler Zielgrößen
Creators: name: Rudak, Nikolaus
Publisher: name: Technische Universität Dortmund
Year: 2016
Subjects: subject: Multivariate Modellierung; Optimierung
subject: 310

description: In vielen technischen Anwendungen, wie etwa beim thermischen Spritzen, werden Maschineneinstellungen (Kovariablen) gesucht, die zu einem Produkt mit gewünschten Eigenschaften (Zielvariablen) bei festgelegten Zielwerten führen. Die einzelnen Zielvariablen werden als Zufallsvariablen aufgefasst und in einem Zielvariablenvektor zusammengefasst. Es wird davon ausgegangen, dass sowohl der Erwartungswert als auch die Varianz der Zielvariablen von Kovariablen abhängen. In der Regel können nicht alle Zielwerte gleichzeitig erreicht werden, sondern lediglich ein guter Kompromiss. Zur Auswahl eines Kompromisses kann die JOP-Methode herangezogen werden, bei der eine Risikofunktion für eine ganze Reihe von Kostenmatrizen minimiert wird. Bisher wurde dabei angenommen, dass die Einträge des Zielvariablenvektors unkorreliert sind. In dieser Arbeit wird die JOP-Methode auf korrelierte Zielgrößen erweitert. Zunächst werden vier unterschiedliche Modelle vorgestellt und erweitert, bei denen sowohl der Erwartungswertvektor als auch die Kovarianzmatrix des Zielvariablenvektors von Kovariablen abhängen. Die Schätzung des Erwartungswertvektors und der Kovarianzmatrix auf Basis der vier genannten Modellvorstellungen wird in einer Simulationsstudie untersucht und verglichen. Als Referenz gilt ein einfaches Vorgehen, bei dem für jede Einstellung das arithmetische Mittel und die empirische Kovarianzmatrix berechnet wird. Dabei stellt sich zwar kein klarer Favorit heraus, allerdings wird das einfache Vorgehen immer von mindestens einem der übrigen Modelle übertroffen. Im weiteren Verlauf wird die JOP-Methode auf korrelierte Zielgrößen erweitert. Es wird eine Wahl von nichtdiagonalen Kostenmatrizen vorgeschlagen und die Pareto- Optimalität der JOP-Methode nachgewiesen. Danach folgt die Vorstellung eines Algorithmus der JOP-Methode für korrelierte Zielgrößen. Anschließend wird die JOPMethode für korrelierte Zielgrößen auf einen Datensatz aus der Literatur sowie auf einen im Rahmen des SFB 823 entstandenen Datensatz aus einem thermischen Spritzprozess angewandt. Den Abschluss der Arbeit bildet eine Zusammenfassung und ein Ausblick.
On Detection and Structural Reconstruction of Small-World Random Networks
Creators: name: Cai, T. Tony
name: Liang, Tengyuan
name: Rakhlin, Alexander
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistics Theory (math.ST)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: In this paper, we study detection and fast reconstruction of the celebrated Watts-Strogatz (WS) small-world random graph model \citep{watts1998collective} which aims to describe real-world complex networks that exhibit both high clustering and short average length properties. The WS model with neighborhood size $k$ and rewiring probability probability $β$ can be viewed as a continuous interpolation between a deterministic ring lattice graph and the Erdős-Rényi random graph. We study both the computational and statistical aspects of detecting the deterministic ring lattice structure (or local geographical links, strong ties) in the presence of random connections (or long range links, weak ties), and for its recovery. The phase diagram in terms of $(k,β)$ is partitioned into several regions according to the difficulty of the problem. We propose distinct methods for the various regions.
description: 22 pages, 3 figures
Exploring the Solubility Limits of Edaravone in Neat Solvents and Binary Mixtures: Experimental and Machine Learning Study
Creators: name: Przybyłek, Maciej
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 340602
subject: Chemical thermodynamics and energetics
classificationCode: 340608
subject: Solution chemistry
classificationCode: 340699
subject: Physical chemistry not elsewhere classified
classificationCode: 340704
subject: Theoretical quantum chemistry
classificationCode: 340701
subject: Computational chemistry
classificationCode: 340799
subject: Theoretical and computational chemistry not elsewhere classified

description: This study explores the edaravone solubility space encompassing both neat and binary dissolution media. Efforts were made to reveal the inherent concentration limits of common pure and mixed solvents. For this purpose, the published solubility data of the title drug were scrupulously inspected and cured, which made the dataset consistent and coherent. However, the lack of some important types of solvents in the collection called for an extension of the available pool of edaravone solubility data. Hence, new measurements were performed to collect edaravone solubility values in polar non-protic and diprotic media. Such an extended set of data was used in the machine learning process for tuning the parameters of regressor models and formulating the ensemble for predicting new data. In both phases, namely the model training and ensemble formulation, close attention was paid not only to minimizing the deviation of computed values from the experimental ones but also to ensuring high predictive power and accurate solubility computations for new systems. Furthermore, the environmental friendliness characteristics determined based on the common green solvent selection criteria, were included in the analysis. Our applied protocol led to the conclusion that the solubility space defined by ordinary solvents is limited, and it is unlikely to find solvents that are better suited for edaravone dissolution than those described in this manuscript. The theoretical framework presented in this study provides a precise guideline for conducting experiments, as well as saving time and resources in the pursuit of new findings.