cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Testing for Nodal Dependence in Relational Data Matrices
Creators: name: Volfovsky, Alexander
name: Hoff, Peter D.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Developmental Biology
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences
subject: Molecular Biology
subject: Genetics
subject: FOS: Biological sciences

description: Relational data are often represented as a square matrix, the entries of which record the relationships between pairs of objects. Many statistical methods for the analysis of such data assume some degree of similarity or dependence between objects in terms of the way they relate to each other. However, formal tests for such dependence have not been developed. We provide a test for such dependence using the framework of the matrix normal model, a type of multivariate normal distribution parameterized in terms of row- and column-specific covariance matrices. We develop a likelihood ratio test (LRT) for row and column dependence based on the observation of a single relational data matrix. We obtain a reference distribution for the LRT statistic, thereby providing an exact test for the presence of row or column correlations in a square relational data matrix. Additionally, we provide extensions of the test to accommodate common features of such data, such as undefined diagonal entries, a nonzero mean, multiple observations, and deviations from normality. Supplementary materials for this article are available online.
S-Estimators for Functional Principal Component Analysis
Creators: name: Boente, Graciela
name: Salibian-Barrera, Matías
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Computational Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Mathematics
subject: FOS: Mathematics
subject: Ecology
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: Biotechnology
subject: Physiology
subject: Neuroscience
subject: Cell Biology

description: Principal component analysis is a widely used technique that provides an optimal lower-dimensional approximation to multivariate or functional datasets. These approximations can be very useful in identifying potential outliers among high-dimensional or functional observations. In this article, we propose a new class of estimators for principal components based on robust scale estimators. For a fixed dimension q, we robustly estimate the q-dimensional linear space that provides the best prediction for the data, in the sense of minimizing the sum of robust scale estimators of the coordinates of the residuals. We also study an extension to the infinite-dimensional case. Our method is consistent for elliptical random vectors, and is Fisher consistent for elliptically distributed random elements on arbitrary Hilbert spaces. Numerical experiments show that our proposal is highly competitive when compared with other methods. We illustrate our approach on a real dataset, where the robust estimator discovers atypical observations that would have been missed otherwise. Supplementary materials for this article are available online.
Material primera sesión de ecología para CCAA. UCO. 2020-2021
Creators: name: Bonet-García, Francisco Javier
Publisher: name: Zenodo
Year: 2020

description: Es un mapa mental que contiene algunas ideas generales sobre historia de la ecología. Lo uso en la primera clase de ecología para ambientólogos en la UCO. La imagen es una copia (cutre) de lo que pinto en la pizarra para explicarles lo importante que son las relaciones y la interdependencia en ecología.
Material primera sesión de ecología para CCAA. UCO. 2019-2020.
Creators: name: Bonet-García, Francisco Javier
Publisher: name: Zenodo
Year: 2020

description: Es un mapa mental que contiene algunas ideas generales sobre historia de la ecología. Lo uso en la primera clase de ecología para ambientólogos en la UCO. La imagen es una copia (cutre) de lo que pinto en la pizarra para explicarles lo importante que son las relaciones y la interdependencia en ecología.
Bandwidth Selection for High-Dimensional Covariance Matrix Estimation
Creators: name: Chen, Song Xi
name: Yumou Qiu
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Plant Biology
subject: FOS: Biological sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Cancer
subject: Mathematics
subject: FOS: Mathematics
subject: Evolutionary Biology
subject: Biotechnology
subject: Molecular Biology
subject: Genetics
subject: Engineering

description: The banding estimator of Bickel and Levina and its tapering version of Cai, Zhang, and Zhou are important high-dimensional covariance estimators. Both estimators require a bandwidth parameter. We propose a bandwidth selector for the banding estimator by minimizing an empirical estimate of the expected squared Frobenius norms of the estimation error matrix. The ratio consistency of the bandwidth selector is established. We provide a lower bound for the coverage probability of the underlying bandwidth being contained in an interval around the bandwidth estimate. Extensions to the bandwidth selection for the tapering estimator and threshold level selection for the thresholding covariance estimator are made. Numerical simulations and a case study on sonar spectrum data are conducted to demonstrate the proposed approaches. Supplementary materials for this article are available online.
Blood Flow Velocity Field Estimation Via Spatial Regression With PDE Penalization
Creators: name: Azzimonti, Laura
name: Sangalli, Laura M.
name: Secchi, Piercesare
name: Domanin, Maurizio
name: Nobile, Fabio
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Science Policy
subject: Cancer
subject: Mathematics
subject: FOS: Mathematics
subject: Information and Computing Sciences
subject: Biological Sciences
subject: Earth and Environmental Sciences
subject: Biotechnology
subject: Physiology
subject: FOS: Biological sciences

description: We propose an innovative method for the accurate estimation of surfaces and spatial fields when prior knowledge of the phenomenon under study is available. The prior knowledge included in the model derives from physics, physiology, or mechanics of the problem at hand, and is formalized in terms of a partial differential equation governing the phenomenon behavior, as well as conditions that the phenomenon has to satisfy at the boundary of the problem domain. The proposed models exploit advanced scientific computing techniques and specifically make use of the finite element method. The estimators have a penalized regression form and the usual inferential tools are derived. Both the pointwise and the areal data frameworks are considered. The driving application concerns the estimation of the blood flow velocity field in a section of a carotid artery, using data provided by echo-color Doppler. This applied problem arises within a research project that aims at studying atherosclerosis pathogenesis. Supplementary materials for this article are available online.
SupplementaryFigures.docx
Creators: name: Gattas, Sandra
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 400802
subject: Electrical circuits and systems
classificationCode: 319999
subject: Other biological sciences not elsewhere classified

description: This is the supplementary figure file to the manuscript entitled "Signal Transformations and New Timing Rules of Hippocampal CA3 to CA1 Synapses"
Diamond quantum magnetometer with dc sensitivity of < 10 pT Hz$^{-1/2}$ toward measurement of biomagnetic field
Creators: name: Sekiguchi, N.
name: Fushimi, M.
name: Yoshimura, A.
name: Shinei, C.
name: Miyakawa, M.
name: Taniguchi, T.
name: Teraji, T.
name: Abe, H.
name: Onoda, S.
name: Ohshima, T.
name: Hatano, M.
name: Sekino, M.
name: Iwasaki, T.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: We present a sensitive diamond quantum sensor with a magnetic field sensitivity of $9.4 \pm 0.1~\mathrm{pT/\sqrt{Hz}}$ in a near-dc frequency range of 5 to 100~Hz. This sensor is based on the continuous-wave optically detected magnetic resonance of an ensemble of nitrogen-vacancy centers along the [111] direction in a diamond (111) single crystal. The long $T_{2}^{\ast} \sim 2~\mathrm{μs}$ in our diamond and the reduced intensity noise in laser-induced fluorescence result in remarkable sensitivity among diamond quantum sensors. Based on an Allan deviation analysis, we demonstrate that a sub-picotesla field of 0.3~pT is detectable by interrogating the magnetic field for a few thousand seconds. The sensor head is compatible with various practical applications and allows a minimum measurement distance of about 1~mm from the sensing region. The proposed sensor facilitates the practical application of diamond quantum sensors.
description: 8 pages, 5 figures
Isospin diffusion from $^{40,48}$Ca$+^{40,48}$Ca experimental data at Fermi energies: Direct comparisons with transport model calculations
Creators: name: Fable, Q.
name: Baldesi, L.
name: Barlini, S.
name: Bonnet, Eric
name: Borderie, Bernard
name: Bougault, Remi
name: Camaiani, A.
name: Casini, G.
name: Chbihi, A.
name: Ciampi, Caterina
name: Dueñas, J. A.
name: Frankland, J. D.
name: Genard, T.
name: Gruyer, Diego D.
name: Henri, Maxime
name: Hong, Byungsik
name: Kim, S.
name: Kordyasz, A. J.
name: Kozik, T.
name: Fèvre, Arnaud Le
name: Neindre, Nicolas Le
name: Lombardo, Ivano
name: Lopez, Olivier
name: Marchi, T.
name: Marini, Paola
name: Nam, S. H.
name: Ono, Akira
name: Park, J.
name: Pârlog, M.
name: Piantelli, Silvia
name: Rebillard-Soulié, A
name: Verde, G.
name: Vient, E.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: This article presents an investigation of isospin equilibration in cross-bombarding $^{40,48}$Ca$+^{40,48}$Ca reactions at 35 MeV/nucleon, by comparing experimental data with filtered transport model calculations. Isospin diffusion is studied using the evolution of the isospin transport ratio with centrality. The asymmetry parameter $δ=(N-Z)/A$ of the quasiprojectile (QP) residue is used as isospin-sensitive observable, while a recent method for impact parameter reconstruction is used for centrality sorting. A benchmark of global observables is proposed to assess the relevance of the antisymmetrized molecular dynamics (AMD) model, coupled to GEMINI++, in the study of dissipative collisions. Our results demonstrate the importance of considering cluster formation to reproduce observables used for isospin transport and centrality studies. Within the AMD model, we prove the applicability of the impact parameter reconstruction method, enabling a direct comparison to the experimental data for the investigation of isospin diffusion. For both, we evidence a tendency to isospin equilibration with an impact parameter decreasing from 9 to 3 fm, while the full equilibration is not reached. A weak sensitivity to the stiffness of the equation of state employed in the model is also observed, with a better reproduction of the experimental trend for the neutron-rich reactions.
Singular value decomposition quantum algorithm for quantum biology
Creators: name: Oh, Emily K.
name: Krogmeier, Timothy J.
name: Schlimgen, Anthony W.
name: Head-Marsden, Kade
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: There has been a recent interest in quantum algorithms for the modelling and prediction of non-unitary quantum dynamics using current quantum computers. The field of quantum biology is one area where these algorithms could prove to be useful, as biological systems are generally intractable to treat in their complete form, but amenable to an open quantum systems approach. Here we present the application of a recently developed singular value decomposition algorithm to two well-studied benchmark systems in quantum biology: excitonic energy transport through the Fenna-Matthews-Olson complex and the radical pair mechanism for avian navigation. We demonstrate that the singular value decomposition algorithm is capable of capturing accurate short- and long-time dynamics for these systems through implementation on a quantum simulator, and conclude that this algorithm has the potential to be an effective tool for the future study of systems relevant to quantum biology.
LCA profiles for building components: strategies for the early design process
Creators: name: Marsh, Rob
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Construction professionals are required to integrate environmental concerns in the earliest design phases. However, environmental assessments need large amounts of precise data that are typically not available in the early design process, as most variables are still fluid. To address this concern, a new approach explores how environmental information on building components can be simplified for strategic use early in the design process in a Danish context. In this paper, life cycle assessments (LCAs) are undertaken for several hundred typical external wall solutions, based on relevant standards. A full bivariate linear regression analysis is performed, showing statistically significant correlations with strong direct relationships between environmental impact categories. A simplified LCA profile consisting of total primary energy, global warming potential and acidification potential is developed. This simplified LCA profile presents environmental data in a more understandable way, creating a strategic overview that can be easily used by non-technical clients and construction professionals in the early design stages. This has a scientific and statistical validity generated by environmental assessment standards, and creates a parallel between the precision of the approach and its time of use in the design process.
Inhibition of RNA-binding protein HuR reduces glomerulosclerosis in experimental nephritis
Creators: name: Huang, Z.
name: Huang, Y.
name: Wu, X.
name: Xing, C.
name: Tang, A.
name: Liu, S.
name: Xu, L.
name: Aube, J.
Publisher: name: Portland Press Ltd
Year: 2020

description: Recent identification of an RNA-binding protein (HuR) that regulates mRNA turnover and translation of numerous transcripts via binding to an ARE in their 3‵-UTR involved in inflammation and is abnormally elevated in varied kidney diseases offers a novel target for the treatment of renal inflammation and subsequent fibrosis. Thus, we hypothesized that treatment with a selective inhibition of HuR function with a small molecule, KH-3, would down-regulate HuR-targeted proinflammatory transcripts thereby improving glomerulosclerosis in experimental nephritis, where glomerular cellular HuR is elevated. Three experimental groups included normal and diseased rats treated with or without KH-3. Disease was induced by the monoclonal anti-Thy 1.1 antibody. KH-3 was given via daily intraperitoneal injection from day 1 after disease induction to day 5 at the dose of 50 mg/kg BW/day. At day 6, diseased animals treated with KH-3 showed significant reduction in glomerular HuR levels, proteinuria, podocyte injury determined by ameliorated podocyte loss and podocin expression, glomerular staining for periodic acid-Schiff positive extracellular matrix proteins, fibronectin and collagen IV and mRNA and protein levels of profibrotic markers, compared with untreated disease rats. KH-3 treatment also reduced disease-induced increases in renal TGFβ1 and PAI-1 transcripts. Additionally, a marked increase in renal NF-κB-p65, Nox4, and glomerular macrophage cell infiltration observed in disease control group was largely reversed by KH-3 treatment. These results strongly support our hypothesis that down-regulation of HuR function with KH-3 has therapeutic potential for reversing glomerulosclerosis by reducing abundance of pro-inflammatory transcripts and related inflammation.
The HuR CMLD-2 inhibitor exhibits antitumor effects via MAD2 downregulation in thyroid cancer cells
Creators: name: Allegri, L.
name: Baldan, F.
name: Filetti, S.
name: Roy, S.
name: Russo, D.
name: Damante, G.
name: Aubé, J.
Publisher: name: Nature Publishing Group
Year: 2019

description: Hu antigen R (HuR) is indeed one of the most studied RNA-binding protein (RBP) since its fundamental role both in tumorigenesis and cancer progression. For this reason, downregulation in HuR protein levels or inhibition of HuR biological function are, nowadays, attractive goals in cancer research. Here, we examined the antitumor effects of CMLD-2 in four thyroid cancer cell lines (SW1736, 8505 C, BCPAP and K1). Indeed, CMLD-2 competitively binds HuR protein disrupting its interaction with RNA-targets. 35 μM CLMD-2 produced a significant downregulation in thyroid cancer cell viability, coupled to an increase in apoptosis. Moreover, CMLD-2 treatment hindered both migration and colony formation ability. MAD2 is a microtubules-associated protein known to be greatly overexpressed in cancer and correlating with tumor aggressiveness. Furthermore, MAD2 is known to be a HuR target. CMLD-2 treatment induced a strong MAD2 downregulation and rescue experiments depicted it as a key effector in HuR-mediated in cancer. Altogether, these data contributed to foster HuR inhibition as valid antineoplastic treatment in thyroid cancer, highlighting MAD2 as a novel therapeutic target.
The Empirical Distribution of a Large Number of Correlated Normal Variables
Creators: name: Azriel, David
name: Schwartzman, Armin
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Mathematics
subject: FOS: Mathematics
subject: Biological Sciences

description: Motivated by the advent of high-dimensional, highly correlated data, this work studies the limit behavior of the empirical cumulative distribution function (ecdf) of standard normal random variables under arbitrary correlation. First, we provide a necessary and sufficient condition for convergence of the ecdf to the standard normal distribution. Next, under general correlation, we show that the ecdf limit is a random, possible infinite, mixture of normal distribution functions that depends on a number of latent variables and can serve as an asymptotic approximation to the ecdf in high dimensions. We provide conditions under which the dimension of the ecdf limit, defined as the smallest number of effective latent variables, is finite. Estimates of the latent variables are provided and their consistency proved. We demonstrate these methods in a real high-dimensional data example from brain imaging where it is shown that, while the study exhibits apparently strongly significant results, they can be entirely explained by correlation, as captured by the asymptotic approximation developed here. Supplementary materials for this article are available online.
Revisiting the β-lactams for tuberculosis therapy with a compound-compound synthetic lethality approach
Creators: name: Bishai, W.R.
name: Guo, H.
name: Weiner, W.S.
name: Maddox, C.
name: Lun, S.
name: Schoenen, F.J.
name: Aubé, J.
name: Pelly, S.
name: Mao, C.
name: Lucile White, E.
name: Rasmussen, L.
name: Xiao, S.
name: Gunosewoyo, H.
Publisher: name: American Society for Microbiology
Year: 2019

description: The suboptimal effectiveness of β-lactam antibiotics against Mycobacterium tuberculosis has hindered the utility of this compound class for tuberculosis treatment. However, the results of treatment with a second-line regimen containing meropenem plus a β-lactamase inhibitor were found to be encouraging in a case study of extensively drug-resistant tuberculosis (M. C. Payen, S. De Wit, C. Martin, R. Sergysels, et al., Int J Tuberc Lung Dis 16:558-560, 2012, https://doi.org/10.5588/ijtld.11.0414). We hypothesized that the innate resistance of M. tuberculosis to β-lactams is mediated in part by noncanonical accessory proteins that are not considered the classic targets of β-lactams and that small-molecule inhibitors of those accessory targets might sensitize M. tuberculosis to β-lactams. In this study, we screened an NIH small-molecule library for the ability to sensitize M. tuberculosis to meropenem. We identified six hit compounds, belonging to either the N-arylindole or benzothiophene chemotype. Verification studies confirmed the synthetic lethality phenotype for three of the N-arylindoles and one benzothiophene derivative. The latter was demonstrated to be partially bioavailable via oral administration in mice. Structure-activity relationship studies of both structural classes identified analogs with potent antitubercular activity, alone or in combination with meropenem. Transcriptional profiling revealed that oxidoreductases, MmpL family proteins, and a 27-kDa benzoquinone methyltransferase could be the targets of the N-arylindole potentiator. In conclusion, our compound-compound synthetic lethality screening revealed novel small molecules that were capable of potentiating the action of meropenem, presumably via inhibition of the innate resistance conferred by β-lactam accessory proteins. β-Lactam compound-compound synthetic lethality may be an alternative approach for drug-resistant tuberculosis.
A red orange extract modulates the vascular response to a recreational dive: a pilot study on the effect of anthocyanins on the physiological consequences of scuba diving
Creators: name: C. Balestra
name: F. Cimino
name: S. Theunissen
name: T. Snoeck
name: S. Provyn
name: R. Canali
name: A. Bonina
name: F. Virgili
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Nutritional antioxidants have been proposed as an expedient strategy to counter the potentially deleterious effects of scuba diving on endothelial function, flow-mediated dilation (FMD) and heart function. Sixteen volunteers performing a single standard dive (20 min at 33 m) according to US Navy diving procedures were randomly assigned to two groups: one was administered with two doses of 200 mg of an anthocyanins (AC)-rich extract from red oranges, 12 and 4 h before diving. Anthocyanins supplementation significantly modulated the effects of diving on haematocrit, body water distribution and FMD. AC administration significantly reduces the potentially harmful endothelial effects of a recreational single dive. The lack of any significant effect on the most common markers of plasma antioxidant capacity suggests that the mechanism underlying this protective activity is independent of the putative antioxidant effect of AC and possibly involves cellular signalling modulation of the response to high oxygen.
LCA profiles for building components: strategies for the early design process
Creators: name: Marsh, Rob
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Construction professionals are required to integrate environmental concerns in the earliest design phases. However, environmental assessments need large amounts of precise data that are typically not available in the early design process, as most variables are still fluid. To address this concern, a new approach explores how environmental information on building components can be simplified for strategic use early in the design process in a Danish context. In this paper, life cycle assessments (LCAs) are undertaken for several hundred typical external wall solutions, based on relevant standards. A full bivariate linear regression analysis is performed, showing statistically significant correlations with strong direct relationships between environmental impact categories. A simplified LCA profile consisting of total primary energy, global warming potential and acidification potential is developed. This simplified LCA profile presents environmental data in a more understandable way, creating a strategic overview that can be easily used by non-technical clients and construction professionals in the early design stages. This has a scientific and statistical validity generated by environmental assessment standards, and creates a parallel between the precision of the approach and its time of use in the design process.
New Cu(II) complex with acetylpyridine benzoyl hydrazone: experimental and theoretical analysis
Creators: name: Tiago, Fernanda S.
name: Santiago, Pedro H.O.
name: Amaral, Marília M.P.
name: Martins, João B.L.
name: Gatto, Claudia C.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Neuroscience
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This work describes the synthesis and the crystal structure of a copper(II) complex – [Cu(HL)(NO3)2]·H2O – based on 2-acetylpyridine-benzoylhydrazone ligand (HL). In the complex, copper(II) is five-coordinate with two nitrate ligands and a tridentate NNO-donor. The copper center has square pyramidal geometry with an axial nitrate and the equatorial positions occupied by another nitrate and the hydrazone. Besides X-ray studies, the complete structural characterization includes elemental analysis, IR, and UV–vis spectroscopy. Plane wave and localized basis set calculations support the distorted square pyramidal geometry. Theoretical calculations using several DFT functionals were used to study the performance of functionals for this complex. Solvent effect was studied on optimized geometries allowing better support to its spectroscopic data. Noncovalent π⋯π stacking interactions were also analyzed.
Molecular rationale delineating the role of lycopene as a potent HMG-CoA reductase inhibitor: in vitro and in silico study
Creators: name: Sahir Sultan Alvi
name: Danish Iqbal
name: Saheem Ahmad
name: M. Salman Khan
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Physiology
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: This study initially aimed to depict the molecular rationale evolving the role of lycopene in inhibiting the enzymatic activity of β-hydroxy-β-methylglutaryl-CoA (HMG-CoA) reductase via in vitro and in silico analysis. Our results illustrated that lycopene exhibited strong HMG-CoA reductase inhibitory activity (IC50 value of 36 ng/ml) quite better than pravastatin (IC50 = 42 ng/ml) and strong DPPH free radical scavenging activity (IC50 value = 4.57 ± 0.23 μg/ml) as compared to ascorbic acid (IC50 value = 9.82 ± 0.42 μg/ml). Moreover, the Ki value of lycopene (36 ng/ml) depicted via Dixon plot was well concurred with an IC50 value of 36 ± 1.8 ng/ml. Moreover, molecular informatics study showed that lycopene exhibited binding energy of −5.62 kcal/mol indicating high affinity for HMG-CoA reductase than HMG-CoA (ΔG: −5.34 kcal/mol). Thus, in silico data clearly demonstrate and support the in vitro results that lycopene competitively inhibit HMG-CoA reductase activity by binding at the hydrophobic portion of HMG-CoA reductase.
Supplementary materials for the paper "Automatic Test-Case Reduction in Coq"
Creators: name: Gross, Jason
name: Zimmermann, Théo
name: Poddar-Agrawal, Miraya
name: Chlipala, Adam
Publisher: name: figshare
Year: 2022
Subjects: subject: 80309 Software Engineering
subject: FOS: Computer and information sciences

description: This is the supplementary material for the paper "Automatic Test-Case Reduction in Proof Assistants: A Case Study in Coq" that was published at the 2022 Interactive Theorem Proving (ITP) conference.
Voluntary recycling despite disincentives
Creators: name: Briguglio, Marie
name: Delaney, Liam
name: Wood, Alex
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Biophysics
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: This paper assesses the determinants of take-up of a voluntary waste separation scheme, in a scenario where residents sorted, stored and paid for collection of recycling waste even though mixed waste was collected at the kerbside more conveniently, free of charge and without any quantity limits. Uptake of the scheme was positive, persistent and diverse across localities, offering an opportunity to assess the factors determining voluntary participation in the presence of disincentives. We employ a unique panel data-set (n = 4,644) from Malta, including data on recyclable waste kilogrammes collected over the first 86 weeks of the scheme's operation. Drawing on insights from environmental economics and psychology, a model is empirically estimated. Results indicate that uptake is suppressed by the initial constraints households may face and stimulated by collection frequency. Political vote is an important determinant of participation and this interacts with scheme promotion to create diverse uptake rates.
Enhancing CMB map reconstruction and power spectrum estimation with convolutional neural networks
Creators: name: Costanza, Belén
name: Scóccola, Claudia G.
name: Zaldarriaga, Matías
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The accurate reconstruction of Cosmic Microwave Background (CMB) maps and the measurement of its power spectrum are crucial for studying the early universe. In this paper, we implement a convolutional neural network to apply the Wiener Filter to CMB temperature maps, and use it intensively to compute an optimal quadratic estimation of the power spectrum. Our neural network has a UNet architecture as that implemented in WienerNet, but with novel aspects such as being written in python 3 and TensorFlow 2. It also includes an extra channel for the noise variance map, to account for inhomogeneous noise, and a channel for the mask. The network is very efficient, overcoming the bottleneck that is typically found in standard methods to compute the Wiener Filter, such as those that apply the conjugate gradient. It scales efficiently with the size of the map, making it a useful tool to include in CMB data analysis. The accuracy of the Wiener Filter reconstruction is satisfactory, as compared with the standard method. We heavily use this approach to efficiently estimate the power spectrum, by performing a simulation-based analysis of the optimal quadratic estimator. We further evaluate the quality of the reconstructed maps in terms of the power spectrum and find that we can properly recover the statistical properties of the signal. We find that the proposed architecture can account for inhomogeneous noise efficiently. Furthermore, increasing the complexity of the variance map presents a more significant challenge for the convergence of the network than the noise level does.
description: 33 pages, 23 figures
Mainstreaming Mimesis Criticism
Creators: name: Bilby, Mark G.
Publisher: name: Zenodo
Year: 2018
Subjects: Mimesis Criticism, New Testament, Classics

description: This first chapter recounts the neglect of mimesis criticism throughout New Testament studies, literature, and curricula; calls for scholars to incorporate it as a legitimate, vital, and standard methodology; suggests fora and nuances that can help transition mimesis criticism into a movement; and suggests that faith-based approaches (Christian, Jewish and Muslim) may find much to appreciate in mimesis critical interpretation.
Detoxification of Patulin by Kombucha tea culture
Creators: name: Ismaiel, Ahmed A.
name: Bassyouni, Rasha H.
name: Zeinat Kamel
name: Gabr, Shaimaa M.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Ecology
subject: Cancer

description: Kombucha is a refreshing beverage, obtained by fermenting sugared tea with a symbiotic culture of acetic acid bacteria and yeast, consumed for its positive effects on human health. In this study, the potential of kombucha supernatant for reduction of patulin (PAT) of three toxigenic fungal strains (Penicillium expansum LC015096, Talaromyces purpureogenus LC015095, and Acremonium implicatum LC015097) in liquid medium and apple fruit was investigated. In liquid medium, kombucha up to 10% (v/v) significantly inhibited PAT production of P. expansum by 77.2% and that of T. purpureogenus and A. implicatum by 100%. In apple fruit, inhibition percent of PAT accumulation by the respective fungal strains was 49.8%, 100%, and 53%. In aqueous solution, kombucha cells showed a relative greater PAT uptake capacity than Sacchromyces cerevisiae. The maximum PAT uptake (64.67% and 60.69%) by viable and heat-treated kombucha cells was achieved at pH 3.0 throughout 48 h incubation, respectively.
New Cu(II) complex with acetylpyridine benzoyl hydrazone: Experimental and theoretical analysis
Creators: name: Tiago, Fernanda S.
name: Santiago, Pedro H. O.
name: Amaral-, Marília M. P.
name: Martins, João B. L.
name: Gatto, Claudia C.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Biological Sciences
Chemistry
Earth and Environmental Sciences
Neuroscience
Physics
Biochemistry
Biophysics

description: This work describes the synthesis and the crystal structure of a copper(II) complex - [Cu(HL)(NO3)2]∙H2O - based on 2-acetylpyridine-benzoylhydrazone ligand (HL). In the complex, copper(II) is five-coordinate with two nitrate ligands and a tridentate NNO-donor. The copper center has square-pyramidal geometry with an axial nitrate and the equatorial positions occupied by another nitrate and the hydrazone. Besides X-ray studies, the complete structural characterization includes elemental analysis, IR and UV-Vis spectroscopy. Plane wave and localized basis set calculations support the distorted square pyramidal geometry. Theoretical calculations using several DFT functionals were used to study the performance of functionals for this complex. Solvent effect was studied on optimized geometries allowing better support to its spectroscopic data. Noncovalent π∙∙∙π stacking interactions were also analyzed.
Detoxification of Patulin by Kombucha tea culture
Creators: name: Ismaiel, Ahmed A.
name: Bassyouni, Rasha H.
name: Zeinat Kamel
name: Gabr, Shaimaa M.
Publisher: name: Taylor & Francis
Year: 2015
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Ecology
subject: Cancer

description: Kombucha is a refreshing beverage, obtained by fermenting sugared tea with a symbiotic culture of acetic acid bacteria and yeast, consumed for its positive effects on human health. In this study, the potential of kombucha supernatant for reduction of patulin (PAT) of three toxigenic fungal strains (Penicillium expansum LC015096, Talaromyces purpureogenus LC015095, and Acremonium implicatum LC015097) in liquid medium and apple fruit was investigated. In liquid medium, kombucha up to 10% (v/v) significantly inhibited PAT production of P. expansum by 77.2% and that of T. purpureogenus and A. implicatum by 100%. In apple fruit, inhibition percent of PAT accumulation by the respective fungal strains was 49.8%, 100%, and 53%. In aqueous solution, kombucha cells showed a relative greater PAT uptake capacity than Sacchromyces cerevisiae. The maximum PAT uptake (64.67% and 60.69%) by viable and heat-treated kombucha cells was achieved at pH 3.0 throughout 48 h incubation, respectively.
Prediction of the endocrine disruption profile of pesticides
Creators: name: J. Devillers
name: E. Bro
name: F. Millot
Publisher: name: Taylor & Francis
Year: 2015
Subjects: Biological Sciences
Chemistry
Earth and Environmental Sciences
Pharmacology
Molecular Biology
Biochemistry

description: Numerous manmade chemicals released into the environment can interfere with normal, hormonally regulated biological processes to adversely affect the development and reproductive functions of living species. Various in vivo and in vitro tests have been designed for detecting endocrine disruptors, but the number of chemicals to test is so high that to save time and money, (quantitative) structure–activity relationship ((Q)SAR) models are increasingly used as a surrogate for these laboratory assays. However, most of them focus only on a specific target (e.g. estrogenic or androgenic receptor) while, to be more efficient, endocrine disruption modelling should preferentially consider profiles of activities to better gauge this complex phenomenon. In this context, an attempt was made to evaluate the endocrine disruption profile of 220 structurally diverse pesticides using the Endocrine Disruptome simulation (EDS) tool, which simultaneously predicts the probability of binding of chemicals on 12 nuclear receptors. In a first step, the EDS web-based system was successfully applied to 16 pharmaceutical compounds known to target at least one of the studied receptors. About 13% of the studied pesticides were estimated to be potential disruptors of the endocrine system due to their high predicted affinity for at least one receptor. In contrast, about 55% of them were unlikely to be endocrine disruptors. The simulation results are discussed and some comments on the use of the EDS tool are made.
Visualizing High-Dimensional Configuration Spaces: A Comprehensive Analytical Approach
Creators: name: Jimenez, Jorge Ocampo
name: Suleiman, Wael
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The representation of a Configuration Space C plays a vital role in accelerating the finding of a collision-free path for sampling-based motion planners where the majority of computation time is spent in collision checking of states. Traditionally, planners evaluate C's representations through limited evaluations of collision-free paths using the collision checker or by reducing the dimensionality of C for visualization. However, a collision checker may indicate high accuracy even when only a subset of the original C is represented; limiting the motion planner's ability to find paths comparable to those in the original C. Additionally, dealing with high-dimensional Cs is challenging, as qualitative evaluations become increasingly difficult in dimensions higher than three, where reduced-dimensional C evaluation may decrease accuracy in cluttered environments. In this paper, we present a novel approach for visualizing representations of high-dimensional Cs of manipulator robots in a 2D format. We provide a new tool for qualitative evaluation of high-dimensional Cs approximations without reducing the original dimension. This enhances our ability to compare the accuracy and coverage of two different high-dimensional Cs. Leveraging the kinematic chain of manipulator robots and human color perception, we show the efficacy of our method using a 7-degree-of-freedom CS of a manipulator robot. This visualization offers qualitative insights into the joint boundaries of the robot and the coverage of collision state combinations without reducing the dimensionality of the original data. To support our claim, we conduct a numerical evaluation of the proposed visualization.
description: 8 pages, 11 figures
Genotypic specificity of walnut (Juglans regia L.) pollen germination on different germination media
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: Soil Science
subject: Ecology
subject: FOS: Biological sciences
subject: Education
subject: Plant Biology

description: The pollen of three walnut cultivars ('Geisenheim 139', 'Geisenheim 251' and 'Elit') was germinated on the culture media designed by combining different concentrations of agar (0.6 and 0.8%), sucrose (10, 15 and 20%), boric acid (0, 300 and 600 ppm) and calcium chloride (0, 50 and 100 ppm). A total of 54 combinations of these substances for each of the cultivars were tested in order to develop the most suitable medium for in vitro pollen germination tests in walnut. Walnut pollen germination was significantly affected by genotype and agar, sucrose,
boric acid and calcium chloride concentrations in the medium. The average pollen germination percentage was the highest (13.4%) in cv. 'Geisenheim 251' and the lowest (6.8%) in cv. 'Geisenheim 139'. Significant interactions were observed between the germination medium components, as well as between cultivars and germination medium. The optimum germination medium for 'Geisenheim 139' pollen contained 0.6% agar, 20% sucrose, 600 ppm boric acid and 0% calcium chloride. The pollen of cvs. 'Elit' and 'Geisenheim 251' gave maximum germination on the medium containing 0.6% agar, 15% sucrose, 300 ppm boric acid and 50 ppm calcium chloride.
СУРУНКАЛИ ҚАЙТАЛАНУВЧИ ПАРАДОНТИТЛАРНИ ҲАРБИЙЛАРДА ДАВО-ПРОФИЛАКТИКАСИНИ ТАКОМИЛЛАШТИРИШ
Creators: name: Мухаммедова, М.Г.
name: Хамраева, Раъно
Publisher: name: Zenodo
Year: 2024

description: Ушбу мақолада ҳарбийларда оғиз бўшлиғи шиллиқ қавати касалликлари ҳамда парадонтитларни даволаш усулларини такомиллаштириш бўйича олиб борилган тадқиқотларда қатор илмий натижалар олинган, жумладан, замонавий жамиятда ҳар қандай касалликнинг аҳамияти ушбу касалликнинг аҳоли орасида тарқалиши, оғирлик даражаси ва натижаларнинг жиддийлиги, бемор ва унинг оиласининг ёки умуман жамиятнинг иқтисодий йўқотишлари билан  аниқланганлиги келтирилган.
The hp nonconforming mesh refinement in discontinuous Galerkin finite element method based on Zienkiewicz-Zhu error estimation
Creators: name: Jaskowiec, Jan
Publisher: name: figshare
Year: 2015
Subjects: subject: 10301 Numerical Analysis
subject: FOS: Mathematics
subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: The paper deals with $hp$--type adaptation in the discontinuous Galerkin method (DG).The DG method is formulated in this paper with a non-zero mesh skeleton width which leads to a version of the method in this paper called the Interface Discontinuous Galerkin (IDG) method. In this formulation the mesh skeleton has a finite volume and special finite elements are used for discretization. The skeleton spatial calculations are performed using finite difference or mid-values formulas which are based on the shape functions of the neighbouring finite elements. The Dirichlet boundary conditions are applied using the non-zero width of the material between the outer boundary and finite element aligned to the boundary. The paper discusses the mesh refinement of $hp$ type. In IDG method the mesh does not have to be conforming. The Zienkiewicz-Zhu error estimator is adapted for IDG method for the purpose of mesh refinement. The paper is illustrated with two-dimensional examples, where the mesh refinement based on an elliptic problem is performed.
title: Tiny houses, big ideas: Best practices of an emerging house typology in British Columbia
Creators: name: Girdler, Annie
Publisher: name: Electronic version published by Vancouver Island University
Year: 2022
Subjects: subject: Housing
subject: Community planning--British Columbia
subject: Ecological houses

description: As many cities around the world struggle with the housing affordability crisis, while at the same time striving for achievement against stringent sustainability goals, the tiny house movement has pushed for the integration of a new housing typology. Under the current housing market and planning regime, homes are being built bigger than ever before while the average household size continues to fall across Canada. In pursuit of freedom, tiny house enthusiasts are struggling to find their place in BC’s housing stock. The main guiding research question behind this work is how could planning optimize tiny houses as a housing typology by integrating them into BC communities in a harmonious way that aligns with the values and principles behind the tiny house movement? Research methods include a literature review to investigate the emerging tiny house movement that is making its way across North America and Australia. Additionally, case studies from BC are used to uncover what planning contexts and regulatory frameworks are being used to support tiny house integration. The case studies are evaluated using criteria formed under the Brundtland report’s triple bottom line definition of sustainability. Key findings and best practices inform recommendations for planning authorities on how to proceed with implementation processes. The main indicator of success for these recommendations will be the replication of strategies and tactics utilized in BC in alignment with case studies analyzed in the literature review. Findings suggest that BC is on track in enabling successful tiny house integration into the housing stock with other tiny house friendly communities around the world.
The hp nonconforming mesh refinement in discontinuous Galerkin finite element method based on Zienkiewicz-Zhu error estimation
Creators: name: Jaskowiec, Jan
Publisher: name: figshare
Year: 2016
Subjects: subject: 10301 Numerical Analysis
subject: FOS: Mathematics
subject: Mechanical Engineering
subject: FOS: Mechanical engineering

description: The paper deals with $hp$--type adaptation in the discontinuous Galerkin method (DG).The DG method is formulated in this paper with a non-zero mesh skeleton width which leads to a version of the method in this paper called the Interface Discontinuous Galerkin (IDG) method. In this formulation the mesh skeleton has a finite volume and special finite elements are used for discretization. The skeleton spatial calculations are performed using finite difference or mid-values formulas which are based on the shape functions of the neighbouring finite elements. The Dirichlet boundary conditions are applied using the non-zero width of the material between the outer boundary and finite element aligned to the boundary. The paper discusses the mesh refinement of $hp$ type. In IDG method the mesh does not have to be conforming. The Zienkiewicz-Zhu error estimator is adapted for IDG method for the purpose of mesh refinement. The paper is illustrated with two-dimensional examples, where the mesh refinement based on an elliptic problem is performed.