cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Universal topological quantum computation with strongly correlated Majorana edge modes
Creators: name: Zhan, Ye-Min
name: Chen, Yu-Ge
name: Chen, Bin
name: Wang, Ziqiang
name: Yu, Yue
name: Luo, Xi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Majorana-based quantum gates are not complete for performing universal topological quantum computation while Fibonacci-based gates are difficult to be realized electronically and hardly coincide with the conventional quantum circuit models. In Ref. \cite{hukane}, it has been shown that a strongly correlated Majorana edge mode in a chiral topological superconductor can be decomposed into a Fibobacci anyon $τ$ and a thermal operator anyon $\varepsilon$ in the tricritical Ising model. The deconfinement of $τ$ and $\varepsilon$ via the interaction between the fermion modes yields the anyon {collisions} and gives the braiding of either $τ$ or $\varepsilon$. With these braidings, the complete members {of} a set of universal gates, the Pauli gates, the Hadamard gate and extra phase gates for 1-qubit as well as controlled-not gate for 2-qubits, are topologically assembled. Encoding quantum information and reading out the computation results can be carried out through electric signals. With the sparse-dense mixed encodings, we set up the quantum circuit {where the controlled-not gate turns out { to be} a probabilistic gate} and design the corresponding devices with thin films of the chiral topological superconductor. As an example of the universal topological quantum computing, we show the application to Shor's integer factorization algorithm.
description: 18 pages, 17 figues, New J. Phys. in press
Identification of PBMC-expressed miRNAs for rheumatoid arthritis
Creators: name: Zhu, Xiaowei
name: Wu, Longfei
name: Mo, Xingbo
name: Xia, Wei
name: Guo, Yufan
name: Wang, Mingjun
name: Zeng, Keqin
name: Wu, Jian
name: Qiu, Yinghua
name: Lin, Xiang
name: Lu, Xin
name: Deng, Feiyan
name: Lei, Shufeng
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Post-transcriptional regulation by miRNAs plays an important role in the pathogenesis of rheumatoid arthritis (RA), however, the roles of specific miRNAs in RA pathogenesis remain largely unclear. This study performed dual-omics (miRNA and mRNA) integration analysis and in-depth cellular and molecular functional exploration to identify novel RA-associated miRNAs and to understand their underlying pathogenic mechanism. Based on the miRNA and mRNA expression profiles in peripheral blood mononuclear cells (PBMCs) from a discovery sample set (25 RA cases and 18 healthy controls), 18 differentially expressed miRNAs (DEMIRs) (|Fold-change|>2 and P < 0.05) were identified and corresponding interaction networks of DEMIRs and mRNA were constructed. After the expression validation of the DEMIRs in a validation sample set (35 RA cases and 35 healthy controls), miR-99b-5p was highlighted. The over-expression of newly discovered miR-99b-5p is able to suppress T cell apoptosis, promote cell proliferation and activation, increase expression of proinflammatory cytokines (IL-2, IL-6, TNF-α, and IFN-γ), and inhibit expression of its target genes mTOR and RASSF4. This study comprehensively identified PBMC-expressed miRNAs along with corresponding regulatory networks significant for RA and discovered miR-99b-5p as a novel post-transcriptional mediator involved in RA pathogenesis. The findings improved our understanding of RA pathogenesis and provided novel insights into the molecular mechanisms underlying RA pathogenesis.
Regularity for $C^{1,α}$ interface transmission problems
Creators: name: Caffarelli, L. A.
name: Soria-Carro, M.
name: Stinga, P. R.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We study existence, uniqueness, and optimal regularity of solutions to transmission problems for harmonic functions with $C^{1,α}$ interfaces. For this, we develop a novel geometric stability argument based on the mean value property.
description: 25 pages, 2 figures
Identification of PBMC-Expressed MiRNAs for Rheumatoid Arthritis
Creators: name: Zhu, Xiaowei
name: Wu, Longfei
name: Mo, Xingbo
name: Xia, Wei
name: Guo, Yufan
name: Wang, Mingjun
name: Zeng, Keqin
name: Wu, Jian
name: Qiu, Yinghua
name: Lin, Xiang
name: Lu, Xin
name: Deng, Feiyan
name: Lei, Shufeng
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer

description: Post-transcriptional regulation by miRNAs plays an important role in the pathogenesis of rheumatoid arthritis (RA), however, the roles of specific miRNAs in RA pathogenesis remain largely unclear. This study performed dual-omics (miRNA and mRNA) integration analysis and in-depth cellular and molecular functional exploration to identify novel RA-associated miRNAs and to understand their underlying pathogenic mechanism. Based on the miRNA and mRNA expression profiles in peripheral blood mononuclear cells (PBMCs) from a discovery sample set (25 RA cases and 18 healthy controls), 18 differentially expressed miRNAs (DEMIRs) (|Fold-change|>2 and P<0.05) were identified and corresponding interaction networks of DEMIRs and mRNA were constructed. After the expression validation of the DEMIRs in a validation sample set (35 RA cases and 35 healthy controls), miR-99b-5p was highlighted. The over-expression of newly discovered miR-99b-5p is able to suppress T cell apoptosis, promote cell proliferation and activation, increase expression of proinflammatory cytokines (IL-2, IL-6, TNF-α, and IFN-γ), and inhibit expression of its target genes mTOR and RASSF4. This study comprehensively identified PBMC-expressed miRNAs along with corresponding regulatory networks significant for RA and discovered miR-99b-5p as a novel post-transcriptional mediator involved in RA pathogenesis. The findings improved our understanding of RA pathogenesis and provided novel insights into the molecular mechanisms underlying RA pathogenesis.
Producing and detecting long-lived particles at different experiments at the LHC
Creators: name: Yuan, Chaochen
name: Zhang, Huaqiao
name: Zhao, Yue
name: Chen, Guoming
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We propose a new strategy to look for long-lived particles (LLP) at the LHC. The LLPs are produced at one experiment, but its decay products are detected by a detector at another experiment. We use a confining Hidden Valley scenario as a benchmark. Through showering and hadronization, the multiplicity of hidden mesons can be large, and their decay products, dimuon as chosen in this study, are typically too soft to pass triggers in traditional LHC searches. We find the best acceptance is achieved if we produce LLPs at collision points at the LHCb and ALICE experiments, and use the muon chamber of ATLAS for detection. This new search is cost-efficient since it does not require a new detector to be built. Meanwhile, it can provide coverage of interesting parameter space, which is complementary to other proposed LLP searches.
description: 8 pages,10 figures, 1 table
LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization
Creators: name: Lin, Yiming
name: Jiang, Daokun
name: Yus, Roberto
name: Bouloukakis, Georgios
name: Chio, Andrew
name: Mehrotra, Sharad
name: Venkatasubramanian, Nalini
Publisher: name: arXiv
Year: 2020
Subjects: subject: Databases (cs.DB)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi connectivity data consists of sporadic connections between devices and nearby WiFi access points (APs), each of which may cover a relatively large area within a building. Our system, entitled semantic LOCATion cleanER (LOCATER), postulates semantic localization as a series of data cleaning tasks - first, it treats the problem of determining the AP to which a device is connected between any two of its connection events as a missing value detection and repair problem. It then associates the device with the semantic subregion (e.g., a conference room in the region) by postulating it as a location disambiguation problem. LOCATER uses a bootstrapping semi-supervised learning method for coarse localization and a probabilistic method to achieve finer localization. The paper shows that LOCATER can achieve significantly high accuracy at both the coarse and fine levels.
Contexutal Kinship Cues Questionnaire
Creators: name: Holzleitner, Iris J
name: Lee, Anthony J
name: DeBruine, Lisa
name: Fasolt, Vanessa
name: O'Shea, Kieran J.
Publisher: name: OSF Registries
Year: 2016

description: Questionnaire assessing spatial, temporal and state-dependent kinship cues
Colossal Seebeck coefficient of thermoelectric material calculated by space charge effect, and phonon drag background
Creators: name: Kakemoto, Hirofumi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Recently colossal Seebeck coefficient ($S$) has found in the several thermoelectric (TE) materials. We present colossal $S$ and large thermal electron motivate force (EMF) reproduced by space charge (SC) model, introducing multi-Debye lengths within grain boundaries (GBs) of TE materials with phonon drag (PD) effect accompanying with electron by electron-phonon interaction. In addition to $S$, the polarity reversal was also reproduced by transfer process with inner bias around SP generated from thermal EMF. Colossal $S$ and EMF for TE material were reproduced by inner SC model as a functions of averaged multi-Debye length within GBs.
Enhancing semantic expressivity in the cultural heritage domain: exposing the Zeri Photo Archive as Linked Open Data
Creators: name: Daquino, Marilena
name: Peroni, Silvio
name: Mambelli, Francesca
name: Tomasi, Francesca
name: Vitali, Fabio
Publisher: name: figshare
Year: 2017
Subjects: Digital Humanities

description: A paper introducing the development of two ontologies for representing the Arts and Photography domains, and the realization of the Zeri Photo Archive RDF Dataset.
On the Perron root and eigenvectors associated with a subshift of finite type
Creators: name: Cheriyath, Haritha
name: Agarwal, Nikita
Publisher: name: arXiv
Year: 2020
Subjects: subject: Dynamical Systems (math.DS)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: In this paper, we describe the relationship between the Perron root and eigenvectors of an irreducible subshift of finite type with the correlation between the forbidden words in the subshift. In particular, we derive an expression for the Perron eigenvectors of the associated adjacency matrix. As an application, we obtain the Perron eigenvectors for irreducible $(0,1)$ matrices which are adjacency matrices for directed graphs. Moreover, we derive an alternate definition of the Parry measure in ergodic theory on an irreducible subshift of finite type.
description: Python code added
Citizen Science Survey Noordhoek.pdf
Creators: name: Sheraine Van Wyk
Publisher: name: figshare
Year: 2017
Subjects: subject: 50203 Environmental Education and Extension
subject: FOS: Earth and related environmental sciences

description: These are data generation tools used in a citizen science research project to probe learning dynamics of the ToadNUTS group.
Vector Control Algorithm Based on Different Current Control Switching Techniques for Ac Motor Drives
Creators: name: Usama, Muhammad
name: Kim, Jaehong
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: A comparative analysis of vector control scheme based on different current control switching pulses (HC, SPWM, DPWM and SVPWM) for the speed response of motor drive is analysed in this paper. The control system using different switching techniques, are comparatively simulated and analysed. Ac motor drives are progressively used in high-performance application industries due to small size, efficient performance, robust to torque response and high power to size ratio. A mathematical model of ac motor drives is presented in order to explain the numerical theory of motor drives. The vector control technique is utilized for efficient speed control of ac motor drive based on independent torque and air gap flux control. The study compares the total harmonic distortion contents of phase currents of ac motor drive and speed response in each case. The simulation result shows that total harmonic distortion across the phase current in SVPWM is less as compared to other switching techniques while the rise time in speed response across SVPWM technique is faster as compared to other switching methods. The simulation result of ac motor drives speed control is demonstrated in Matlab/Simulink 2018b.
A Computational Approach to Hedging Credit Valuation Adjustment in a Jump-Diffusion Setting
Creators: name: van der Zwaard, T.
name: Grzelak, L. A.
name: Oosterlee, C. W.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Finance (q-fin.CP)
subject: Mathematical Finance (q-fin.MF)
subject: FOS: Economics and business

description: This study contributes to understanding Valuation Adjustments (xVA) by focussing on the dynamic hedging of Credit Valuation Adjustment (CVA), corresponding Profit & Loss (P&L) and the P&L explain. This is done in a Monte Carlo simulation setting, based on a theoretical hedging framework discussed in existing literature. We look at hedging CVA market risk for a portfolio with European options on a stock, first in a Black-Scholes setting, then in a Merton jump-diffusion setting. Furthermore, we analyze the trading business at a bank after including xVAs in pricing. We provide insights into the hedging of derivatives and their xVAs by analyzing and visualizing the cash-flows of a portfolio from a desk structure perspective. The case study shows that not charging CVA at trade inception results in an expected loss. Furthermore, hedging CVA market risk is crucial to end up with a stable trading strategy. In the Black-Scholes setting this can be done using the underlying stock, whereas in the Merton jump-diffusion setting we need to add extra options to the hedge portfolio to properly hedge the jump risk. In addition to the simulation, we derive analytical results that explain our observations from the numerical experiments. Understanding the hedging of CVA helps to deal with xVAs in a practical setting.
Constraining the Chiral Magnetic Effect with charge-dependent azimuthal correlations in Pb-Pb collisions at $\sqrt{\it{s}_{\mathrm{NN}}}$ = 2.76 and 5.02 TeV
Creators: name: ALICE Collaboration
Publisher: name: arXiv
Year: 2020
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Systematic studies of charge-dependent two- and three-particle correlations in Pb-Pb collisions at $\sqrt{\it{s}_\mathrm{NN}} = $ 2.76 and 5.02 TeV used to probe the Chiral Magnetic Effect (CME) are presented. These measurements are performed for charged particles in the pseudorapidity ($η$) and transverse momentum ($p_{\rm{T}}$) ranges $\left|η\right| < 0.8$ and $0.2 < p_{\mathrm{T}} < 5$ GeV/$c$. A significant charge-dependent signal that becomes more pronounced for peripheral collisions is reported for the CME-sensitive correlators $γ_{1,1} = \langle \cos (φ_α +φ_β - 2Ψ_{2}) \rangle$ and $γ_{1,-3} = \langle \cos (φ_α -3φ_β + 2Ψ_{2}) \rangle$. The results are used to estimate the contribution of background effects, associated with local charge conservation coupled to anisotropic flow modulations, to measurements of the CME. A blast-wave parametrisation that incorporates local charge conservation tuned to reproduce the centrality dependent background effects is not able to fully describe the measured $γ_{1,1}$. Finally, the charge and centrality dependence of mixed-harmonics three-particle correlations, of the form $γ_{1,2} = \langle \cos (φ_α +2φ_β - 3Ψ_{3}) \rangle$, which are insensitive to the CME signal, verify again that background contributions dominate the measurement of $γ_{1,1}$.
description: 29 pages, 8 captioned figures, 4 tables, authors from page 24, published version, figures at http://alice-publications.web.cern.ch/node/6296
title: Autorisation de captation, utilisation, diffusion et conservation de la voix d'une personne
Creators: name: de Quieroz Campos, Daniela
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2017

description: Source: T-4868
description: Source: C-4868
Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems
Creators: name: Grove, Matt
name: Borg, James M.
name: Polack, Fiona
Publisher: name: arXiv
Year: 2020
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/f^\b{eta}) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before introducing coloured noise as an appropriate model for environmental variation in artificial evolutionary systems. To illustrate and explore the effects of different noise colours, a simple evolutionary model that examines the trade-off between specialism and generalism in fluctuating environments is applied. The results of the model clearly demonstrate a need for greater generalism as environmental variability becomes `whiter', whilst specialisation is favoured as environmental variability becomes `redder'. Pink noise, sitting midway between white and red noise, is shown to be the point at which the pressures for generalism and specialism balance, providing some insight in to why `pinker' noise is increasingly being seen as an appropriate model of typical environmental variability. We go on to discuss how the results presented here feed in to a wider discussion on evolutionary responses to fluctuating environments. Ultimately we argue that Artificial Life as a field should embrace the use of coloured noise to produce models of environmental variability.
description: 8 pages, 4 figures, 2020 conference on Artificial Life
Heavy hydrocarbon fate and transport in the environment
Creators: name: Brown, David M.
name: Bonte, Matthijs
name: Gill, Richard
name: Dawick, James
name: Boogaard, Peter J.
Publisher: name: Geological Society of London
Year: 2017
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences

description: The effect of hydrocarbon concentration and soil organic content on the partitioning of heavy hydrocarbon (EC >44) into soils
Additional file 4 of Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060
Creators: name: Jin, Jia
name: Xiang, Wenhua
name: Zeng, Yelin
name: Ouyang, Shuai
name: Zhou, Xiaolu
name: Hu, Yanting
name: Zhao, Zhonghui
name: Chen, Liang
name: Lei, Pifeng
name: Deng, Xiangwen
name: Wang, Hui
name: Liu, Shirong
name: Peng, Changhui
Publisher: name: figshare
Year: 2022
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 4. Site-specific parameters used in TRIPLEX1.6 for simulating subtropical forest ecosystems in Hunan Province, subtropical China (Zhao et al., 2013).
Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory
Creators: name: Schwalbe-Koda, Daniel
name: Hamel, Sebastien
name: Sadigh, Babak
name: Zhou, Fei
name: Lordi, Vincenzo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Machine Learning (cs.LG)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: An accurate description of information is relevant for a range of problems in atomistic machine learning (ML), such as crafting training sets, performing uncertainty quantification (UQ), or extracting physical insights from large datasets. However, atomistic ML often relies on unsupervised learning or model predictions to analyze information contents from simulation or training data. Here, we introduce a theoretical framework that provides a rigorous, model-free tool to quantify information contents in atomistic simulations. We demonstrate that the information entropy of a distribution of atom-centered environments explains known heuristics in ML potential developments, from training set sizes to dataset optimality. Using this tool, we propose a model-free UQ method that reliably predicts epistemic uncertainty and detects out-of-distribution samples, including rare events in systems such as nucleation. This method provides a general tool for data-driven atomistic modeling and combines efforts in ML, simulations, and physical explainability.
description: v2.0
КОАГУЛОПАТИЯ ПРИ ОЖОГОВОМ СЕПСИСЕ
Creators: name: Юнусов, Ойбек
Publisher: name: Zenodo
Year: 2024

description: ДВС-синдром – наиболее распространенный и опасный вид патологии гемостаза – представляет собой катастрофу, подобно шоку, и сопровождает ожоговую болезнь. Самые неблагоприятные последствия ДВС–синдрома отмечаются при его остром течении. Таким образом, исследование системы гемостаза у пациентов с ожоговым шоком представляет собой актуальную задачу.
DC electricity generation from dynamic polarized water-semiconductor interface
Creators: name: Yan, Yanfei
name: Zhou, Xu
name: Feng, Sirui
name: Lu, Yanghua
name: Qian, Jianhao
name: Zhang, Panpan
name: Yu, Xutao
name: Zheng, Yujie
name: Wang, Fengchao
name: Liu, Kaihui
name: Lin, Shisheng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Liquid electricity generator and hydrovoltaic technology have received numerous attentions, which can be divided into horizontal movement generator and vertical movement generator. The horizontal movement generator is limited for powering the integrated and miniaturized energy chip as the current output direction is depending on the moving direction of the water droplet, which means a sustainable and continuous direct-current (DC) electricity output can be hardly achieved because of the film of limited length. On the other hand, the existing vertical movement generators include triboelectricity or humidity gradient-based liquid electricity generator, where the liquid or water resource must be sustainably supplied to ensure continuous current output. Herein, we have designed an integratable vertical generator by sandwiching water droplets with semiconductor and metal, such as graphene or aluminum. This generator, named as polarized liquid molecular generator (PLMG), directly converts the lateral kinetic energy of water droplet into vertical DC electricity with an output voltage of up to ~1.0 V from the dynamic water-semiconductor interface. The fundamental discovery of PLMG is related to the non-symmetric structure of liquid molecules, such as water and alcohols, which can be polarized under the guidance of built-in field caused by the Fermi level difference between metal and semiconductor, while the symmetric liquid molecules cannot produce any electricity on the opposite. Integratable PLMG with a large output power of ~90 nW and voltage of ~2.7 V has been demonstrated, meanwhile its small internal resistance of ~250 kilohm takes a huge advantage in resistance matching with the impedance of electron components. The PLMG shows potential application value in the Internet of Things (IoTs) after proper miniaturization and integration.
The association between mitochondrial genetic variation and reduced colony fitness in an invasive wasp
Creators: name: Dobelmann, Jana
name: Alexander, A
name: Baty, James
name: Gemmell, NJ
name: Gruber, MAM
name: Quinn, O
name: Wenseleers, T
name: Lester, Philip
Publisher: name: Open Access Victoria University of Wellington | Te Herenga Waka
Year: 2021
Subjects: Uncategorized

description: Despite the mitochondrion's long-recognized role in energy production, mitochondrial DNA (mtDNA) variation commonly found in natural populations was assumed to be effectively neutral. However, variation in mtDNA has now been increasingly linked to phenotypic variation in life history traits and fitness. We examined whether the relative fitness in native and invasive common wasp (Vespula vulgaris) populations in Belgium and New Zealand (NZ), respectively, can be linked to mtDNA variation. Social wasp colonies in NZ were smaller with comparatively fewer queen cells, indicating a reduced relative fitness in the invaded range. Interestingly, queen cells in this population were significantly larger leading to larger queen offspring. By sequencing 1,872 bp of the mitochondrial genome, we determined mitochondrial haplotypes and detected reduced genetic diversity in NZ. Three common haplotypes in NZ frequently produced many queens, whereas the four rare haplotypes produced significantly fewer or no queens. The entire mitochondrial genome for each of these haplotypes was sequenced to identify polymorphisms associated with fitness reduction. We found 16 variable sites; however, no nonsynonymous mutation that was clearly causing impaired mitochondrial function was detected. We discuss how detected variants may alter secondary structures, gene expression or mito-nuclear interactions, or could be associated with nuclear-encoded variation. Whatever the ultimate mechanism, we show reduced fitness and mtDNA variation in an invasive wasp population as well as specific mtDNA variants associated with fitness variation within this population. Ours is one of only a few studies that confirm fitness impacts of mtDNA variation in wild nonmodel populations.
The association between mitochondrial genetic variation and reduced colony fitness in an invasive wasp
Creators: name: Dobelmann, Jana
name: Alexander, A
name: Baty, James
name: Gemmell, NJ
name: Gruber, MAM
name: Quinn, O
name: Wenseleers, T
name: Lester, Philip
Publisher: name: Open Access Te Herenga Waka-Victoria University of Wellington
Year: 2021

description: Despite the mitochondrion's long-recognized role in energy production, mitochondrial DNA (mtDNA) variation commonly found in natural populations was assumed to be effectively neutral. However, variation in mtDNA has now been increasingly linked to phenotypic variation in life history traits and fitness. We examined whether the relative fitness in native and invasive common wasp (Vespula vulgaris) populations in Belgium and New Zealand (NZ), respectively, can be linked to mtDNA variation. Social wasp colonies in NZ were smaller with comparatively fewer queen cells, indicating a reduced relative fitness in the invaded range. Interestingly, queen cells in this population were significantly larger leading to larger queen offspring. By sequencing 1,872 bp of the mitochondrial genome, we determined mitochondrial haplotypes and detected reduced genetic diversity in NZ. Three common haplotypes in NZ frequently produced many queens, whereas the four rare haplotypes produced significantly fewer or no queens. The entire mitochondrial genome for each of these haplotypes was sequenced to identify polymorphisms associated with fitness reduction. We found 16 variable sites; however, no nonsynonymous mutation that was clearly causing impaired mitochondrial function was detected. We discuss how detected variants may alter secondary structures, gene expression or mito-nuclear interactions, or could be associated with nuclear-encoded variation. Whatever the ultimate mechanism, we show reduced fitness and mtDNA variation in an invasive wasp population as well as specific mtDNA variants associated with fitness variation within this population. Ours is one of only a few studies that confirm fitness impacts of mtDNA variation in wild nonmodel populations.
TIPPME (Typology of Interventions in Proximal Physical Micro-Environments): full version and guidance for use
Creators: name: GJ Hollands
name: G Bignardi
name: M Johnston
name: MP Kelly
name: D Ogilvie
name: M Petticrew
name: A Prestwich
name: I Shemilt
name: S Sutton
name: TM Marteau
Publisher: name: figshare
Year: 2017
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 111716 Preventive Medicine

description: This is a pdf containing the full version of TIPPME.
If using this material, please cite and refer to the following journal article:
Hollands GJ, Bignardi G, Johnston M, Kelly MP, Ogilvie D, Petticrew M, Prestwich A, Shemilt I, Sutton S, Marteau TM (2017). The TIPPME intervention typology for changing environments to change behaviour. Nature Human Behaviour; 1:0140.
Semantically Adversarial Learnable Filters
Creators: name: Shamsabadi, Ali Shahin
name: Oh, Changjae
name: Cavallaro, Andrea
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We present an adversarial framework to craft perturbations that mislead classifiers by accounting for the image content and the semantics of the labels. The proposed framework combines a structure loss and a semantic adversarial loss in a multi-task objective function to train a fully convolutional neural network. The structure loss helps generate perturbations whose type and magnitude are defined by a target image processing filter. The semantic adversarial loss considers groups of (semantic) labels to craft perturbations that prevent the filtered image {from} being classified with a label in the same group. We validate our framework with three different target filters, namely detail enhancement, log transformation and gamma correction filters; and evaluate the adversarially filtered images against three classifiers, ResNet50, ResNet18 and AlexNet, pre-trained on ImageNet. We show that the proposed framework generates filtered images with a high success rate, robustness, and transferability to unseen classifiers. We also discuss objective and subjective evaluations of the adversarial perturbations.
description: 13 pages
Supplemenal Information
Creators: name: Sickle, Jordan
name: Higgins, Wesley
name: Wright, Wendelin
name: Pharr, George
name: Dahmen, Karin
Publisher: name: AIP Publishing
Year: 2024
Subjects: classificationCode: 51
subject: Physical sciences
subject: FOS: Physical sciences

description: Supplemental information which contains analysis that supports the main text's claim and is referred to in the main text. Section S1 shows the full time trace for the ZrHf sample compression and preliminary evidence that the method may be used to observe a change in ductility as shear bands accumulate. Section S2 shows the full time trace for the simulated avalanche system. Section S3 shows the full, unbinned power spectra atop the binned power spectra originally shown in Figure 2. Section S4 shows the obtained value of ω_o for all indentations in ZrHf and Vit 105 and discusses the statistical significance of the difference. Section S5 discusses practical considerations for determining the minimum size S_c used to calculate the results in Figure 3. Section S6 discusses the method for determining how many indentation samples are likely to be required to detect the difference in ductility between two samples. Section S7 briefly discusses the methods and code used.
Cubature rules based on bivariate spline quasi-interpolation for weakly singular integrals
Creators: name: Falini, A.
name: Kanduč, T.
name: Sampoli, M. L.
name: Sestini, A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: In this paper we present a new class of cubature rules with the aim of accurately integrating weakly singular double integrals. In particular we focus on those integrals coming from the discretization of Boundary Integral Equations for 3D Laplace boundary value problems, using a collocation method within the Isogeometric Analysis paradigm. In such setting the regular part of the integrand can be defined as the product of a tensor product B-spline and a general function. The rules are derived by using first the spline quasi-interpolation approach to approximate such function and then the extension of a well known algorithm for spline product to the bivariate setting. In this way efficiency is ensured, since the locality of any spline quasi-interpolation scheme is combined with the capability of an ad--hoc treatment of the B-spline factor. The numerical integration is performed on the whole support of the B-spline factor by exploiting inter-element continuity of the integrands
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Creators: name: Lago, Jesus
name: Marcjasz, Grzegorz
name: De Schutter, Bart
name: Weron, Rafał
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applications (stat.AP)
subject: Machine Learning (cs.LG)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business

description: While the field of electricity price forecasting has benefited from plenty of contributions in the last two decades, it arguably lacks a rigorous approach to evaluating new predictive algorithms. The latter are often compared using unique, not publicly available datasets and across too short and limited to one market test samples. The proposed new methods are rarely benchmarked against well established and well performing simpler models, the accuracy metrics are sometimes inadequate and testing the significance of differences in predictive performance is seldom conducted. Consequently, it is not clear which methods perform well nor what are the best practices when forecasting electricity prices. In this paper, we tackle these issues by performing a literature survey of state-of-the-art models, comparing state-of-the-art statistical and deep learning methods across multiple years and markets, and by putting forward a set of best practices. In addition, we make available the considered datasets, forecasts of the state-of-the-art models, and a specifically designed python toolbox, so that new algorithms can be rigorously evaluated in future studies.
Additional file 6 of Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060
Creators: name: Jin, Jia
name: Xiang, Wenhua
name: Zeng, Yelin
name: Ouyang, Shuai
name: Zhou, Xiaolu
name: Hu, Yanting
name: Zhao, Zhonghui
name: Chen, Liang
name: Lei, Pifeng
name: Deng, Xiangwen
name: Wang, Hui
name: Liu, Shirong
name: Peng, Changhui
Publisher: name: figshare
Year: 2022
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 6. Descriptive statistics for the spatial heterogeneity of stand growth by forests in all selected permanent forest plots in Hunan Province in 2014. Including stand-structure variables: stem density (stems ha-1), stand age (year), diameter at breast height (DBH, cm), height (m), NPP (t ha-1 yr-1) and stand biomass (t ha-1).
Manual do Indexador Edubase: versão 2.0 (2018)
Creators: name: Santos, Gildenir Carolino
Publisher: name: figshare
Year: 2018
Subjects: subject: 80604 Database Management
subject: FOS: Computer and information sciences
subject: 80704 Information Retrieval and Web Search
subject: FOS: Media and communications
subject: Education

description: Este manual tem como finalidade auxiliar os editores, bibliotecários ou assistentes no processo de indexação dos registros da sua publicação na Edubase. A Edubase é uma base de dados de assuntos referentes à Educação e áreas afins, tendo como propósito formar uma rede de colaboradores que visam preservar dados e registros de suas publicações numa plataforma automatizada que permita oferecer visibilidade, interoperabilidade e recuperação da informação, de forma rápida e padronizada. A Edubase está abrigada no servidor da empresa Modal, nossa parceira no desenvolvimento do Portal, desde 1998, e integrada ao Sistema de Bibliotecas da UNICAMP (SBU), desde 2015. Hoje, a Edubase tem aproximadamente 45 títulos de periódicos científicos de acesso aberto correntes, 40 títulos não ativos, contando com a indexação de 21.017 registros em sua base, inseridos desde 1994, e desde 2013 de forma colaborativa, ou seja, indexação compartilhada a partir dos editores que integram ao Portal Edubase.
Fast Magnetic Reconnection with Turbulence in High Lundquist Number Limit
Creators: name: Liping, Yang
name: Hui, Li
name: Fan, Guo
name: Xiaocan, Li
name: Shengtai, Li
name: jiansen, He
name: Lei, Zhang
name: Xueshang, Feng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We use extensive 3D resistive MHD simulations to study how large-scale current sheets will undergo fast reconnection in the high Lundquist number $S$ limit (above $\sim 10^4$), when the system is subject to different externally driven turbulence levels and the self-generated turbulence produced by 3D reconnection dynamics. We find that the normalized global reconnection rate $\sim 0.01 - 0.13$, weakly dependent on $S$. Global reconnection with the classic inflow/outflow configurations is observed, and 3D flux ropes are hierarchically formed and ejected from reconnection regions. A statistical separation of the reconnected magnetic field lines follows a super-diffusive behavior, from which the rate is measured to be very similar to that obtained from the mixing of tracer populations. We find that the reconnection rate scales roughly linearly with the turbulence level during the peak of reconnection. This scaling is consistent with the turbulence properties produced by both the externally driven and self-generation processes. These results imply that large-scale thin current sheets tend to undergo rigorous reconnection.
description: Accepted By ApJL
Manual do Indexador Edubase
Creators: name: Santos, Gildenir Carolino
Publisher: name: figshare
Year: 2017
Subjects: subject: 80604 Database Management
subject: FOS: Computer and information sciences
subject: 80704 Information Retrieval and Web Search
subject: FOS: Media and communications
subject: Education

description: Este manual tem como finalidade auxiliar os editores, bibliotecários ou assistentes no processo de indexação dos registros da sua publicação na Edubase. A Edubase é uma base de dados de assuntos referentes à Educação e áreas afins, tendo como propósito formar uma rede de colaboradores que visam preservar dados e registros de suas publicações numa plataforma automatizada que permita oferecer visibilidade, operabilidade e recuperação da informação, de forma rápida e padronizada. A Edubase está abrigada no servidor da empresa Modal, nossa parceira no desenvolvimento do Portal, desde 1998, e integrada ao Sistema de Bibliotecas da UNICAMP (SBU), desde 2015. Hoje, a Edubase tem aproximadamente 85 títulos de periódicos científicos de acesso aberto, contando com a indexação de 19.000 registros em sua base, inseridos desde 2013 de forma colaborativa, ou seja, indexação compartilhada a partir dos editores que integram ao Portal Edubase.
Read-out of Quasi-periodic Systems using Qubits
Creators: name: Saha, Madhumita
name: Agarwalla, Bijay Kumar
name: Venkatesh, B. Prasanna
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We develop a theoretical scheme to perform a read-out of the properties of a quasi-periodic system by coupling it to one or two qubits. We show that the decoherence dynamics of a single qubit coupled via a pure dephasing type term to a 1D quasi-periodic system with a potential given by the André-Aubry-Harper (AAH) model and its generalized versions (GAAH model) is sensitive to the nature of the single particle eigenstates (SPEs). More specifically, we can use the non-markovianity of the qubit dynamics as quantified by the backflow of information to clearly distinguish the localized, delocalized, and mixed regimes with a mobility edge of the AAH and GAAH model and evidence the transition between them. By attaching two qubits at distinct sites of the system, we demonstrate that the transport property of the quasi-periodic system is encoded in the scaling of the threshold time to develop correlations between the qubits with the distance between the qubits. This scaling can also be used to distinguish and infer different regimes of transport such as ballistic, diffusive and no transport engendered by SPEs that are delocalized, critical and localized respectively. When there is a mobility edge allowing the coexistence of different kinds of SPEs in the spectrum, such as the coexistence of localized and delocalized states in the GAAH models, we find that the transport behaviour and the scaling of the threshold time with qubit separation is governed by the fastest spreading states.
Nonequilibrium electrical, thermal and spin transport in open quantum systems of topological superconductors, semiconductors and metals
Creators: name: Bondyopadhaya, Nilanjan
name: Roy, Dibyendu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We study nonequilibrium transport in various open quantum systems whose systems and leads/baths are made of topological superconductors (TSs), semiconductors, and metals. Using quantum Langevin equations and Green's function method, we derive exact expressions for steady-state electrical, thermal, and spin current at the junctions between a system and leads. We validate these current expressions by comparing them with the results from direct time-evolution simulations. We then show how an electrical current injected in TS wires divides into two parts carried by single electronic excitations and Cooper pairs. We further show ballistic thermal transport in an open TS wire in the topological phase under temperature or voltage bias. The thermal current values grow significantly near the topological phase transition, where thermal conductance displays a sharp quantized peak as predicted earlier. We relate the quantized thermal conductance to the zero-frequency thermoelectric transmission coefficient of the open TS wire. We also observe a large thermoelectric current near the topological transition of the TS wires. We introduce a differential spin conductance which displays a quantized zero-bias peak at zero temperature for a spinful TS wire in the topological phase. The role of superconducting baths in transport is demonstrated by thoroughly examining the features of zero-temperature differential electrical conductance and thermal conductance in open systems with TS baths. Our new thermoelectric and spin transport findings in various two-terminal geometries are beneficial to the present challenges in probing the emergence of Majorana quasi-particles in experiments.
description: 64 pages, 14 figures
Horizon-independent Preconditioner Design for Linear Predictive Control
Creators: name: McInerney, Ian
name: Kerrigan, Eric C.
name: Constantinides, George A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: First-order optimization solvers, such as the Fast Gradient Method, are increasingly being used to solve Model Predictive Control problems in resource-constrained environments. Unfortunately, the convergence rate of these solvers is significantly affected by the conditioning of the problem data, with ill-conditioned problems requiring a large number of iterations. To reduce the number of iterations required, we present a simple method for computing a horizon-independent preconditioning matrix for the Hessian of the condensed problem. The preconditioner is based on the block Toeplitz structure of the Hessian. Horizon-independence allows one to use only the predicted system and cost matrices to compute the preconditioner, instead of the full Hessian. The proposed preconditioner has equivalent performance to an optimal preconditioner in numerical examples, producing speedups between 2x and 9x for the Fast Gradient Method. Additionally, we derive horizon-independent spectral bounds for the Hessian in terms of the transfer function of the predicted system, and show how these can be used to compute a novel horizon-independent bound on the condition number for the preconditioned Hessian.
description: Accepted for publication in IEEE Transactions on Automatic Control