Miracle-dz/UniFAR-FTUs huggingface dataset:
A novel design of mechanical metamaterial incorporating multiple negative indexes

Mechanical metamaterials that combine multiple negative properties are rare, but have great appeal for applications in multipurpose devices. Herein, a novel metamaterial incorporating negative Poisson’s ratio, negative compressibility, and negative thermal expansion or swelling was proposed. The unit cell was designed by simulating the bond structure of lead monoxide crystals using elastic beams. Analytical models for the mechanical responses of the unit cell were established, and expressions for Young’s modulus, thermal expansion, Poisson’s ratio, and compressibility were derived and confirmed by numerical simulations. The results showed that the metamaterial not only displayed a negative Poisson’s ratio but also had negative linear and area compressibilities as well as negative linear, area, and volume thermal expansions if the geometric parameters were properly adjusted. Furthermore, metamaterials with negative linearity and area swelling were obtained experimentally by replacing the thermal expansion of the material with the water absorption expansion of a hydrogel. Such metamaterials with multiple negative indexes are expected to contribute to the feasibility of advanced multifunctional devices with mechanical, pressure, temperature, and moisture sensitivities.
X-ray holographic imaging of magnetic order in patterned Co/Pd multilayers

Carlo Spezzani, Franck Fortuna, Renaud Delaunay, Horia Popescu, Maurizio Sacchi 1 ELETTRA, Sincrotrone Trieste, Area Science Park, S.S. 14, Km 163.5, 34012 Trieste, Italy 2 Centre de Sciences Nucleaires et de Sciences de la Matiere, Universite Paris-Sud, CNRS UMR 8609, Bât. 104, 91405 Orsay, France 3 Laboratoire de Chimie Physique – Matiere et Rayonnement, UPMC Paris 06, CNRS UMR 7614, 11 rue P. et M. Curie, 75005 Paris, France 4 Synchrotron SOLEIL, L’Orme des Merisiers, Saint-Aubin, B.P. 48, 91192 Gif-sur-Yvette, France 5 Institut des NanoSciences de Paris, UPMC Paris 06, CNRS UMR 7588, 4 Pl. Jussieu, 75015 Paris, France
A Fault Diagnosis Method for Rotating Machinery With Semi-Supervised Graph Convolutional Network and Images Converted From Vibration Signals

In recent years, intelligent fault diagnosis has been widely investigated. Deep learning fault diagnosis methods for rotating machinery are primarily based on the assumption that labeled data are abundant. However, it is difficult to collect sufficient labeled samples for some practical engineering applications. To address this problem, a fault diagnosis method for rotating machinery with semi-supervised graph convolutional network (SSGCN) and 2-D images converted from vibration signals is proposed in this article. First, the 1-D vibration signals are converted into 2-D images, by the non-parameter adjacency symmetrized dot pattern (NPASDP) method in polar coordinate system and the grayscale matrix mapping (GMM) method in the Cartesian coordinate system. The local features of all samples are fully extracted using image processing methods in different coordinate systems to better characterize the relationship between different samples. Second, the normalized cross correlation coefficient (NCC) is used to calculate the similarity of images. Using each sample as a node, the graph structure is constructed by judging the adjacency relationship between all nodes through the similarity threshold. Finally, the SSGCN model is established to realize fault diagnosis. A bearing dataset and a rotor dataset with few data labels are used for validation, and the proposed method can get satisfactory fault diagnosis accuracy. The results show that the method can effectively improve the accuracy of model fault diagnosis with few labeled data.
RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics

Abstract RING-PyMOL is a plugin for PyMOL providing a set of analysis tools for structural ensembles and molecular dynamic simulations. RING-PyMOL combines residue interaction networks, as provided by the RING software, with structural clustering to enhance the analysis and visualization of the conformational complexity. It combines precise calculation of non-covalent interactions with the power of PyMOL to manipulate and visualize protein structures. The plugin identifies and highlights correlating contacts and interaction patterns that can explain structural allostery, active sites, and structural heterogeneity connected with molecular function. It is easy to use and extremely fast, processing and rendering hundreds of models and long trajectories in seconds. RING-PyMOL generates a number of interactive plots and output files for use with external tools. The underlying RING software has been improved extensively. It is 10 times faster, can process mmCIF files and it identifies typed interactions also for nucleic acids. Availability and implementation https://github.com/BioComputingUP/ring-pymol
Creator Name Standardization Using Faceted Vocabularies in the BTAA Geoportal

Abstract Digital libraries incorporate metadata from varied sources, ranging from traditional catalog data to author-supplied descriptions. The Big Ten Academic Alliance (BTAA) Geoportal unites geospatial resources from the libraries of the BTAA, compounding the variability of metadata. The BTAA Geospatial Information Network’s (BTAA GIN) Metadata Committee works to ensure completeness and consistency of metadata in the Geoportal, including a project to standardize the contents of the Creator field. The project comprises an OpenRefine data cleaning phase; evaluation of controlled vocabularies for semiautomated matching via OpenRefine reconciliation; and development and testing of a best practices guide for application of a controlled vocabulary.
Technical Note: PAV and the ROC Convex Hull

Classifier calibration is the process of converting classifier scores into reliable probability estimates. Recently, a calibration technique based on isotonic regression has gained attention within machine learning as a flexible and effective way to calibrate classifiers. We show that, surprisingly, isotonic regression based calibration using the Pool Adjacent Violators algorithm is equivalent to the ROC convex hull method.
Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid-attenuated inversion recovery (FLAIR) imaging

Traumatic meningeal injury is a novel imaging marker of traumatic brain injury, which appears as enhancement of the dura on post-contrast T2-weighted FLAIR images, and is likely associated with inflammation of the meninges. Dynamic Contrast Enhanced MRI provides a better discrimination of abnormally perfused regions. A method to properly identify those regions is presented. Images of seventeen patients scanned within 96 hours of head injury with positive traumatic meningeal injury were normalized and aligned. The difference between the pre- and last post-contrast acquisitions was segmented and voxels in the higher class were spatially clustered. Spatial and morphological descriptors were used to identify the regions of enhancement: a) centroid; b) distance to the brain mask from external voxels; c) distance from internal voxels; d) size; e) shape. The method properly identified thirteen regions among all patients. The method failed in one case due to the presence of a large brain lesion that altered the mask boundaries. Most false detections were correctly rejected resulting in a sensitivity and specificity of 92.9% and 93.6%, respectively.
Puromycin-induced kidney injury and subsequent regeneration in adult zebrafish

ABSTRACT Puromycin treatment can cause glomerular injury to the kidney, leading to proteinuria. However, the pathogenesis of acute kidney injury and subsequent regeneration after puromycin administration in animal models remain unclear. In this work, we examined the characteristics of kidney injury and subsequent regeneration following puromycin treatment in adult zebrafish. We intraperitoneally injected 100 μg of puromycin into zebrafish; sacrificed them at 1, 3, 5, 7, or 14 days post-injection (dpi); and examined the morphological, functional, and molecular changes in the kidney. Puromycin-treated zebrafish presented more rapid clearance of rhodamine dextran than control animals. Morphological changes were observed immediately after the puromycin injection (1–7 dpi) and had recovered by 14 dpi. The mRNA production of lhx1a, a renal progenitor marker, increased during recovery from kidney injury. Levels of NFκB, TNFα, Nampt, and p-ERK increased significantly during nephron injury and regeneration, and Sirt1, FOXO1, pax2, and wt1b showed an increasing tendency. However, TGF-β1 and smad5 production did not show any changes after puromycin treatment. This study provides evidence that puromycin-induced injury in adult zebrafish kidneys is a potential tool for evaluating the mechanism of nephron injury and subsequent regeneration.
Sex-Related Differences in Outpatient Healthcare of Acute Coronary Syndrome: Evidence from an Italian Real-World Investigation

At the time of first acute coronary syndrome (ACS) hospital admission, women are generally older and have more comorbidities than men, which may explain differences in their short-term prognosis. However, few studies have focused on differences in the out-of-hospital management of men and women. This study investigated (i) the risk of clinical outcomes, (ii) the use of out-of-hospital healthcare and (iii) the effects of clinical recommendations on outcomes in men vs. women. A total of 90,779 residents of the Lombardy Region (Italy) were hospitalized for ACS from 2011 to 2015. Exposure to prescribed drugs, diagnostic procedures, laboratory tests, and cardiac rehabilitation in the first year after ACS hospitalization were recorded. To evaluate whether sex can modify the relationship between clinical recommendations and outcomes, adjusted Cox models were separately fitted for men and women. Women were exposed to fewer treatments, required fewer outpatient services than men and had a lower risk of long-term clinical events. The stratified analysis showed an association between adherence to clinical recommendations and a lower risk of clinical outcomes in both sexes. Since improved adherence to clinical recommendations seems to be beneficial for both sexes, tight out-of-hospital healthcare control should be recommended to achieve favourable clinical benefits.
Secure Control of Markovian Jumping Systems Under Deception Attacks: An Attack-Probability-Dependent Adaptive Event-Triggered Mechanism

This article considers the secure control of Markovian jumping systems (MJSs) under stochastic deception attacks that occurred in the communication network. Therein, the stochastic deception attack is described by a Bernoulli random variable. Considering the limited network bandwidth and the impact of deception attacks simultaneously, we propose an attack-probability-dependent adaptive event-triggered mechanism. Not only can it reduce the number of controller updates, but it can also adapt to the variation of system dynamics subject to deception attacks. A mathematical model is established for the closed-loop system under stochastic deception attacks. Then, a time-dependent looped functional is constructed to reduce the conservatism of stability results. The norm of the system state is estimated, and based on the discrete-time Lyapunov theory, a less conservative stability criterion is derived. Then, an easy-to-implement design algorithm for the controller gain is given so that the exponential stabilization in the mean square sense can be realized for the MJS subject to stochastic deception attacks. Finally, an electrical circuit example is provided to validate the feasibility and superiority of the presented method.
Plume Gamma Dose Evaluation under Non-Homogeneous Non-Stationary Meteorological Conditions using Particle Trajectory Model for Short Term Releases

The particle trajectory model is employed to estimate plume gamma dose due to elevated release (100 m) of 41 Ar under non-homogeneous and non-stationary meteorological conditions using time varying vertical profiles of meteorological parameters given by SODAR. Unit release rate (1 Bq.s -1 ) of 41 Ar was assumed for one hour for the estimation of gamma dose. The gamma dose is also computed using the Gaussian plume model for comparison based on one hour average meteorological data. It is observed that the ground level plume gamma dose derived using the Gaussian plume model is lower by a factor of 4 than that derived using the particle trajectory model for typical unstable conditions. It is higher by two orders of magnitude for the typical stable condition studied here. The present study considers only vertical profiles of meteorological parameters and their variation with time. However, the model is capable of including horizontal variation in meteorological parameters on a three-dimensional computational domain, if such data are available. The internal consistency of the particle trajectory model is verified with the Gaussian plume model under homogeneous and stationary meteorological condition. This study assumes great significance during any unplanned releases of radioactivity into the atmosphere from nuclear power plants.
Robust logistic regression with shift parameter estimation

We investigate a shift parameter approach to logistic regression for robust classification. Shift parameter moves margin to the minimum of loss function. For robust estimation, margin-based logistic regression requires its own version of thresholding-type estimate which is different from residual-based regression. We discuss shift parameter estimation desirable to robust classification and propose some penalty functions producing such shift parameter estimates. Comparing to existing robust logistic regression methods requiring non-convex optimization or label transition modelling, our proposal is implemented in a simple alternating optimization: the classifier is obtained as a solution of conventional logistic regression with an offset and shift parameter is individually estimated in a closed form. We discuss some robust properties of the method and demonstrate its performance in linear and nonlinear classification with synthetic and real-world examples.
Linear Quadratic Gaussian with noise signals for lateral and longitudinal of F-16

Today, classical control methods are still widely used because of their excellent performance in a working enviroment with noise signals. Besides, they are suitble for functiions of the system : operations to control a machine are more flexible, easy to perform, less unwanted risks occur, the efficiency of controlling a system better. In the early years of the 21st century, traditional algorithms still promote their effects. Besides the traditional control methods, the author has applied more moderm and smarter algorithms such as adjusting Linear Quadratic Gaussian (LQG) to control a system on the ground or a system moving in the air. In the paper, LQG regulator is applied to a flight model to demonstrate its effectiveness in all cases. LQG regulator has not been applied before for this model. Results are as expected by the author for the working enviroment with noise signals affecting the system. Kalman filter used in this paper has shown its usefulness in the problem of dealing with unwanted signals. Simulation is done by Matlab.
A Compact Axial-Mode Helical Antenna Based on Spoof Surface Plasmon Polaritons

A compact axial-mode helical antenna (AMHA) is presented based on spoof surface plasmon polaritons (SSPPs). The proposed antenna consists of an SSPP waveguide, a matching metal strip, and a reflective metal ground. To achieve miniaturization and good circular polarization (CP) performance, an SSPP waveguide formed by a periodically slotted metal strip wound around a uniform foam cylinder surface is designed as the radiation part of AMHA. Compared with the traditional AMHA using a metallic strip line, the SSPP AMHA can reduce the length of the metal strip by 20%, while the physical aperture, height, and volume are reduced by 36%, 20%, and 49%, respectively. Experimental results demonstrate that the antenna has good radiation performance in the operating frequency from 3.3 to 4.7 GHz with a gain of 9.6 dBic at the central frequency. In addition, the size of the proposed SSPP AMHA can be further significantly reduced if the foam rod in the center of the helix is replaced by a high-permittivity dielectric rod. The proposed SSPP AMHA has the advantages of compact size and good CP radiation performance, which may find potential applications in radar and wireless communication systems.
In vitro ruminal fermentation parameters of canola meal protein in response to incremental doses of gamma irradiation

Rapid ruminal degradation of canola meal (CM) limits its feed value for high-producing ruminants. Attempts to reduce ruminal degradability of CM through gamma irradiation have generated conflicting results. While this strategy has the potential to reduce CM degradability, the optimal radiation dose is unknown for this valuable co-product. Therefore, this in vitro ruminal fermentation study was designed to evaluate the efficacy of gamma irradiation to protect CM protein from ruminal degradation. Canola meal was irradiated at 0 (CM0), 15 (CM15), 30 (CM30), 45 (CM45), 60 (CM65), 75 (CM75), and 90 kGy (CM90). Irradiated CM was then analysed for proximate composition and incubated with rumen fluid to determine in vitro degradability of dry matter (DMD) and nitrogen (ND). The data were evaluated for linear and quadratic effects using response surface regression analysis. Neutral detergent fibre and acid detergent fibre linearly decreased as irradiation dosage increased. Quadratic responses were observed for total nitrogen (N) content, DMD12, and DMD36 in response to increasing irradiation dosage. Gamma irradiation linearly increased the rapidly soluble fraction (a) and effective degradability (ED) of dry matter. There were no irradiation effects on ND12, ND36, ND48, fractional rate constant (c), and potential degradability, but significant quadratic trends were observed for ND24, a, slowly degradable fraction (b), and ED of N. It was concluded that although gamma irradiation altered the chemical composition of CM, it was not an effective method to protect CM from extensive ruminal degradation
Sustainability Reporting and Economic Value Added: Empirical Evidence from Listed Manufacturing Entities in Nigeria

The essence of this study is to evaluate the effect of three aspects of Sustainability reporting on economic value addition of Nigerian listed manufacturing companies from 2013 to 2020. Ex-post facto research design was adopted while secondary data were sourced from annual reports and accounts of 37 sampled companies out of 73 listed manufacturing companies in Nigeria as at 30th September 2019. The panel data gathered for the study were subjected to empirical tests using panel regression techniques (random effect) at 5% level of significance. Evidence generated revealed among others that economic, social and environmental reporting aspects of sustainability reporting all had positive effect on economic value added over the period. However, the effects were found to be significant for economic and social reporting while the effect of environmental reporting was not statistically significant. Consequently, it was concluded that sustainability reporting has significant positive effect on economic value addition by listed manufacturing companies in Nigeria. This study therefore recommends amongst others that business organizations should incorporate sustainability reporting in their reporting system to reap the associated benefit of economic value added which should also be measured and reported annually. By policy implication, government across countries should put in place, annual awards and recognition programmes for companies with highest disclosure scores for all indices of sustainability reporting to encourage a more sustainability-driven economy, this will indirectly promote economic value added by corporations.
The glacial geomorphology of the Mackenzie Mountains region, Canada

ABSTRACT During the Last Glacial Maximum, the Mackenzie Mountains region was glaciated by three distinct ice sources; the Laurentide Ice Sheet, the Cordilleran Ice Sheet, and independent montane glaciers. Rapid ice sheet thinning of the Laurentide-Cordilleran ice saddle in the south of this region contributed to rapid sea level rise events and influenced the style of deglaciation to the north. The current understanding of the glacial history of the broader region has been established through mapping from aerial imagery and early surveys between the early 1970s to the 2010s. The central portions of the Mackenzie Mountains have not yet been mapped. We present a new glacial geomorphological map for the Mackenzie Mountains region covering over 220,000 km2. This updated geomorphological map will form the basis of future work to reconstruct the former maximum ice extents, flow dynamics, and retreat pattern.
Incidence geometry from an algebraic graph theory point of view

The goal of this thesis is to apply techniques from algebraic graph theory to finite incidence geometry. The incidence geometries under consideration include projective spaces, polar spaces and near polygons. These geometries give rise to one or more graphs. By use of eigenvalue techniques, we obtain results on these graphs and on their substructures that are regular or extremal in some sense. The first chapter introduces the basic notions of geometries, such as projective and polar spaces. In the second chapter, we introduce the necessary concepts from algebraic graph theory, such as association schemes and distance-regular graphs, and the main techniques, including the fundamental contributions by Delsarte. Chapter 3 deals with the Grassmann association schemes, or more geometrically: with the projective geometries. Several examples of interesting subsets are given, and we can easily derive completely combinatorial properties of them. Chapter 4 discusses the association schemes from classical finite polar spaces. One of the main applications is obtaining bounds for the size of substructures known as partial m- systems. In one specific case, where the partial m-systems are partial spreads in the polar space H(2d − 1, q^2) with d odd, the bound is new and even tight. A variant of the famous Erdős-Ko-Rado problem is considered in Chapter 5, where we study sets of pairwise non-trivially intersecting maximal totally isotropic subspaces in polar spaces. A combination of geometric and algebraic techniques is used to obtain a classification of such sets of maximum size, except for one specific polar space, namely H(2d − 1, q^2) for odd rank d ≥ 5. Near polygons, including generalized polygons and dual polar spaces, are studied in the last chapter. Several results on substructures in these geometries are given. An inequality of Higman on the parameters of generalized quadrangles is generalized. Finally, it is proved that in a specific dual polar space, a highly regular substructure would yield a distance- regular graph, generalizing a result on hemisystems. The appendix consists of an alternative proof for one of the main results in the thesis, a list of open problems and a summary in Dutch.