Miracle-dz/UniFAR-FTUs huggingface dataset:
Compact Quad-Element High-Isolation Wideband MIMO Antenna for mm-Wave Applications

This paper presents a multiple-input multiple-output (MIMO) antenna system for millimeter-wave 5G wireless communication services. The proposed MIMO configuration is composed of four antenna elements, where each antenna possesses an HP-shaped configuration that features simple configuration and excellent performance. The proposed MIMO design can operate at a very wideband of 36.83–40.0 GHz (measured). Furthermore, the proposed MIMO antenna attains a peak gain of 6.5 dB with a maximum element-isolation of −45 dB. Apart from this, the MIMO performance metrics such as envelope correlation coefficient (ECC), diversity gain, and channel capacity (CCL) are analyzed, which demonstrate good characteristics across the operating band. The proposed antenna radiates efficiently with a radiation efficiency of above 80% at the desired frequency band which makes it a potential contender for the upcoming communication applications. The proposed design simulations were performed in the computer simulation technology (CST) software, and measured results reveal good agreement with the simulated one.
On the Nature and Determinants of Poor Households’ Resilience in Fragility Contexts

ABSTRACT Several global policy frameworks focus on managing (risks of) disasters affecting broad populations. In those frameworks resilience is a conceptualisation that possibly has important ideological implications. It is often opposed to fragility, and used to validate the notion of recurring insecurity, promote individual adaptability almost in the form of an obligation, and push the idea that crises/catastrophes are opportunities for profound changes. While effects from the COVID-19 pandemic have brought the protective role of the state to the fore, applying the word resilience to poor people requires clarification, especially in contexts of weak state public services and because assessment of complex poverty situations too often remains oversimplified and error-prone. We argue that to build capacity for resilience poor households need policies that protect and help them out of poverty, and that policy-making processes require engagement with people. Individuals must be asked about their perceptions and management of risks and threats, both in daily life and under exceptional circumstances, especially if the resulting stress factors accumulate and interact. This socially informed, place-specific, and multi-level approach could contribute substantially to identifying interventions, reducing poverty and poverty related risks, enhancing well-being and promoting development and cooperation programmes that meet people’s expectations.
Time Series Analysis on the Conformational Change of c-Src Tyrosine Kinase

c-Src tyrosine kinase plays an important role in signal transduction pathways, where its activity is regulated by phosphorylation of the two tyrosine residues. We performed targeted molecular dynamics simulation to obtain trajectory of conformational change from inactive to active form. To investigate the conformational change of c-Src tyrosine kinase, we applied network analysis to time series of correlation among residues. The time series of correlation between residues during the conformational change generated by targeted molecular dynamic simulation. With centrality measures such as betweenness centrality, degree centrality, and closeness centrality, we observed a few important residues that significantly contribute to the conformational change of c-Src tyrosine kinase for the different time steps.
A Simplified Finite Control Set Model Predictive Control for T-Type Three-Level Power Conversion System Based on LCL Filter

Finite control set model predictive control (FCSMPC) is a highly attractive and potential control method for grid-tied converters. However, there are several challenges when employing FCSMPC in an LCL filter-based T-type three-level power conversion system (PCS) for battery energy storage applications. These challenges mainly include the increasing complexity of control algorithm and excessive cost of additional sensors, which deteriorate the performance of PCS and limit the application of FCSMPC. In order to overcome these issues, this paper proposes a simplified FCSMPC algorithm to reduce the computation complexity. Furthermore, full-dimensional state observers are adopted and implemented to estimate the instantaneous values of grid-side current and capacitor voltage for purpose of removing unnecessary electrical sensors. The implementation of proposed FCSMPC algorithm is described step by step in detail. Simulation results are provided as a verification for the correctness of theoretical analysis. Finally, a three-phase T-type three-level PCS prototype rated at 2.30 kVA/110 V is built up. Experimental results extracted from the prototype can verify the effectiveness of the proposed control strategy.
Demonstration of edge roughness effect on the magnetization reversal of spin valve submicron wires

We prepared submicron wide trilayer spin valve wires designed with periodic “spikes” as artificial roughness. The height and the pitch of the spikes were varied systematically. No obvious dependence was found between the roughness and the domain wall velocity when the spikes were smaller than a threshold of 30 nm for NiFe. The average velocity was slowed down when the height of the spikes were larger than the threshold. In-plane transverse magnetic fields help to reduce the critical current density for current induced domain-wall motion. Our results could be attributed to the space modulation of the local magnetization.
Red and blue light treatments of ripening bilberry fruits reveal differences in signaling through ABA regulated anthocyanin biosynthesis.

The biosynthesis of anthocyanins has been shown to be influenced by light quality. However, the molecular mechanisms underlying the light-mediated regulation of fruit anthocyanin biosynthesis are not well understood. In this study, we analyzed the effects of supplemental red and blue light on the anthocyanin biosynthesis in non-climacteric bilberry (Vaccinium myrtillus L.). After six days of continuous irradiation during ripening, both red and blue light elevated concentration of anthocyanins, up to 12- and 4-folds, respectively, compared to the control. Transcriptomic analysis of ripening berries showed that both light treatments up-regulated all the major anthocyanin structural genes, the key regulatory MYB transcription factors and abscisic acid (ABA) biosynthetic genes. However, higher induction of specific genes of anthocyanin and delphinidin biosynthesis alongside ABA signal perception and metabolism were found in red light. The difference in red and blue light signaling was found in NCED, ABA receptor PYL and catabolic ABA-8'hydroxylase gene expression. Red light also up-regulated expression of SNARE domain transporters, which may indicate involvement of these proteins in vesicular trafficking of anthocyanins during fruit ripening. Our results suggest differential signal transduction and transport mechanisms between red and blue light in ABA- regulated anthocyanin and delphinidin biosynthesis during bilberry fruit ripening. This article is protected by copyright. All rights reserved.
Beneficial Bioapplications of Silver Nanoparticles Synthesized by a Marine Crustacean (Erugosquilla massavensis)

Silver nanoparticles (AgNPs) have wide applications. Production of AgNPs can be occurred through different method chemical, physical, and green methods. The most popular methods are chemical approaches. Marine organisms exhibit a wide range of bioactivity. The present study was designed to establish the biosynthesis of silver nanoparticles from marine crustacean extract of the hard and soft parts of male and female E. massavensis. The microstructure, morphology and optical absorption properties of the nanoparticles were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM) and UV-visible spectroscopy. The formation of silver nanoparticles was confirmed by Uv-Vis absorption and the spectra were observed plasmon bands between 441.79–462.74 nm. XRD results show that the nanoparticles are crystalline in nature. SEM images detected the quasi-spherical AgNPs morphological shape. Silver nanoparticles from marine crustacean extract of the hard part of male E. massavensis (HM4) showed the best results in morphology and particle size. Evaluation of the cytotoxicity of AgNPs (HM4) on different cancer cell lines antiviral, anti-microbial, anti-diabetic, anti-arthritic, anti-aging and anti-inflammatory properties were assessed. AgNPs characterization may be introduced a promising applications in medical aspects.
Experimental Research on the Drag Reduction Mechanism of Natural Gas Drag Reduction Agent and Its Industrial Field Test

As environmental protection has drawn increasing attention all around the world, natural gas has been increasingly used for its high efficiency, cleanliness, and low cost. However, the frictional resistance in transportation causes a large loss of energy, thereby reducing the transportation capacity. To address this problem, this work analyzes the hydraulics of natural gas pipeline transportation, the regularity of the effects of a drag reduction agent (DRA) on the pipe inner-surface roughness, the relationship between the drag reduction effect and DRA injection technology (different doses and injection methods), and the flow pattern improvement regularity of the DRA membrane acting on the near-wall region of the pipeline. Through these studies, the fundamental reason for frictional resistance has been found, and the drag reduction mechanism has also been identified. Field test shows that the application of DRA could reduce the frictional loss by 12–16.5% in the gas pipeline transportation and raise the t.
Modelling quasi-periodic signals in geodetic time-series using Gaussian processes

Seasonal signals in geodetic time-series have long been recognized to be associated with environmental phenomena such as polar motion, atmospheric loading, groundwater loading and other hydrological processes. Modelling these periodic signals is crucial for the geophysical interpretation of these time-series. The most common approach used for resolving seasonal (annual and semi-annual) signals is their approximation by sinusoidal functions with constant amplitudes. However, because of their environmental source, seasonal signals are likely to be quasi-periodic. In this study, we investigate a Gaussian process (GP) to model quasi-periodic signals in geodetic time-series, a flexible method that allows capturing the variability structure in the data using covariance functions. We use the Markov Chain Monte Carlo method to evaluate the posterior probability density function. To test its effectiveness, we apply this method to a synthetic time-series in the presence of time-correlated noise. We find that the GP model provides a better fit to the time-series, resulting in time-series residuals with fewer systematic effects. We use the GP model to estimate the secular velocity of selected GPS sites from Antarctica and Alaska, as well as an example of Gravity Recovery and Climate Experiment time-series. The Bayesian aspect of the GP model allows inferring the linear velocity ensemble in the vicinity of the true solution while taking into account the quasi-periodic systematics in the time-series.
Does the slope of the yield curve of the interbank market influence prices on the Warsaw Stock Exchange? A sectoral perspective

The interest rate curve is often viewed as the leading indicator of economic prosperity in a broad sense. This paper studies the ability of the slope of the yield curve in the term structure of interest rates to impact the sectoral indices on the Warsaw Stock Exchange, using daily data covering the period from 1 January 2001 to 30 September 2020. The results of the research indicate an ambiguous dependence of the logarithmic rates of return of sub-indices on the change of the interbank interest rate curve. The only sectors showing a clear relationship of this type is energy and pharmaceuticals.
AQUATIC MACROINVERTEBRATE STRUCTURE AND DIVERSITY IN ANGUEDEDOU STREAM (ANGUEDEDOUBASIN : COTE DIVOIRE)

Aquatic macroinvertebrates play an important rÃ´le in ecosystems and are usually used as bioindicators to assess their health. This study aim to assess the structure and diversity of these organismson one hand and the effect of the environmental variables on the characteristics of their communities in Anguededou Stream basin (CÃ´te dIvoire) on the other hand. Six stations were monthly sampled during one year period (March 2018 - February 2019). A total of 171 taxa belonging to 77 famillies and 14 orders were recorded. The Insecta class was the most diversified with 150 taxa (87.20% of total species richness) followed by the Gasteropoda, Malacostraca, Acheta and one species in Oligocheta. The highest values of diversity indices were collectedin the upstream station A1 while highest values of Sorensen similarity index were found between the midstream stations (i.e. A3, A4, A5). A strong positive correlation between conductivity, turbidity, salinity, and a negative correlation with dissolved oxygenwas found with the Chironominae subfamily, and the species Diplonychus sp. , Hydrobius sp. , Hydracharina sp. , Hydrochara sp. and Physa marmorata, while the Tanypodiinae subfamily was highly associated with increased of dissolved oxygen. Macroinvertebrates diversity and species composition was found significantly affected by anthropogenic disturbances.
#MeToo and testimonial injustice: An investigation of moral and conceptual knowledge

Two decades ago, Tarana Burke started using the phrase ‘me too’ to release victims of sexual abuse and rape from their shame and to empower girls from minority communities. In 2017, actress Alyssa Milano made the hashtag #MeToo go viral. This article’s concern is with the role of testimonial practices in the context of sexual violence. While many feminists have claimed that the word of those who claim to being sexually violated by others (should) have political and/or epistemic priority, others have failed to recognize the harm and injury of instances of sexual violence that are not yet acknowledged as such and failed to listen to victims from marginalized social groups. In fact, some feminists have attacked #MeToo for mingling accounts of ‘proper’ sexual violence and accounts that are not ‘proper’ experiences of sexual violence. My aim in this article is to show why this critique is problematic and find a philosophically fruitful way to understand the #MeToo-movement as a movement that strives for moral and conceptual progress.
Segmentation and classification of ground glass nodule on CT images

The symptoms of lung cancer mainly manifest as lung nodules. The recognition and diagnosis of a ground glass nodule (GGN) are relatively difficult, and its image features are not easy to extract. To improve the accuracy of segmentation and invasive classification of GGN, a region adaptive Markov random field (MRF) model and a two‐channel integrated network based on densely connected convolutional neural networks (DenseNet) are developed in this paper. First, the lung parenchyma is segmented coarsely, and the corresponding contour is repaired. Afterwards, the fuzzy C‐means (FCM) clustering algorithm and a simple MRF model for the coarse segmentation of GGN are applied. Then, the region adaptive MRF model for the fine segmentation of GGN is used. Moreover, the two‐channel integrated network based on DenseNet is used for GGN invasive classification. Results show that the average value of the overlapping area ratio of the segmentation result to that obtained by one physician was 0.9144, and the accuracy of the proposed GGN invasive classification model, the specificity, sensitivity, and the area under curve were 92.553%, 87.500%, 97.826%, and 0.9715, respectively. The proposed segmentation method can segment GGN more accurately, and the corresponding GGN invasive classification model achieved satisfying classification performance.
Effect of adhesive application method on repair bond strength of composite

Objectives This study aimed to evaluate the effect of the application method of universal adhesives on the shear bond strength (SBS) of repaired composites, applied with different thicknesses. Materials and Methods The 84 specimens (Filtek Z350 XT) were prepared, stored in distilled water for a week and thermocycled (5,000 cycles, 5°C to 55°C). They were roughened using 400-grit sandpapers and etched with phosphoric acid. Then, specimens were equally divided into 2 groups; Single Bond Universal (SU) and Prime&Bond Universal (PB). Each group was subdivided into 3 subgroups according to application methods (n = 14); UC: 1 coat + uncuring, 1C: 1 coat + curing, 3C: 3 coats + curing. After storage of the repaired composite for 24 hours, specimens were subjected to the SBS test and the data were statistically analyzed by 2-way analysis of variance and independent t-tests. Specimens were examined with a stereomicroscope to analyze fracture mode and a scanning electron microscope to observe the interface. Results Adhesive material was a significant factor (p = 0.001). Bond strengths with SU were higher than PB. The highest strength was obtained from the 1C group with SU. Bonding in multiple layers increased adhesive thicknesses, but there was no significant difference in SBS values (p = 0.255). Failure mode was predominantly cohesive in old composites. Conclusions The application of an adequate bonding system plays an important role in repairing composite resin. SU showed higher SBS than PB and the additional layers increased the adhesive thickness without affecting SBS.
Test Case Recording using JavaScript for Automation Testing

Test automation is the usage of software to monitor the execution of experiments and the comparison of actual results with expected results, apart from the software being evaluated. In a formalized web testing method already in place, test automation may automatize certain routine but required tasks and carry out extra testing which can be troublesome to try and perform manually. There is a need to simplify the test case recording process as most of the methods used at present requires the testers to generate scripts using any coding language. Hence, a light weight script less model is developed which uses JavaScript to record mouse and keyboard actions. Selenium framework is used to induce the JavaScript in the browser. Therefore, this paper focuses on developing a lightweight script less model for recording test cases on browsers.
DFT Study of Electronic Structure and Optical Properties of Kaolinite, Muscovite, and Montmorillonite

Clay mineral materials have attracted attention due to their many properties and applications. The applications of clay minerals are closely linked to their structure and composition. In this paper, we studied the electronic structure properties of kaolinite, muscovite, and montmorillonite crystals, which are classified as clay minerals, by using DFT-based ab initio packages VASP and the OLCAO. The aim of this work is to have a deep understanding of clay mineral materials, including electronic structure, bond strength, mechanical properties, and optical properties. It is worth mentioning that understanding these properties may help continually result in new and innovative clay products in several applications, such as in pharmaceutical applications using kaolinite for their potential in cancer treatment, muscovite used as insulators in electrical appliances, and engineering applications that use montmorillonite as a sealant. In addition, our results show that the role played by hydrogen bonds in O-H bonds has an impact on the hydration in these crystals. Based on calculated total bond order density, it is concluded that kaolinite is slightly more cohesive than montmorillonite, which is consistent with the calculated mechanical properties.
Policy-making by tweets: discursive governance, populism, and Trump Presidency

ABSTRACT Experience in various countries demonstrated that populist leaders enfeeble democracy. Once elected, populist leaders concentrate power in their hands while undermining horizontal checks on their power. By drawing upon the Trump presidency in the U.S., this article reveals one of the dynamics in which populist leaders bypass institutions of horizontal checks in policy-making. It argues that populist leaders use social media platforms to disseminate discourse to convince people that a certain course of action is necessary and thereafter bypass formal institutions in policy-making. Trump used discourse first to discipline the federal bureaucracy, second to roll back Obama-era social and environmental regulations, and third to reorient the US migration policy. His discourse became pervasive thanks to his efficient use of Twitter, which allowed him to achieve political change without going through formal institutional channels.
An Integrated Approach for Formation Micro-Image Rock Typing Based on Petrography Data: A Case Study in Shallow Marine Carbonates

Core rock-typing (RT) is commonly used for creating geologically reliable models of porous media in carbonate reservoirs. This approach is more advanced than the traditional porosity–permeability relationship and is based on the division of carbonate rocks into groups, using common classifications (lithofacies, FZI, Winland–Pittman, etc.). These clustering methods can provide either geological or petrophysical descriptions of the identified rock types. Besides, the connection of identified core rock types with standard logs could be challenging due to the different scales of measurement. This paper considers the creation of a new approach, named “integrated rock-typing,” which connects geologically and petrophysically driven rock types using borehole image logs. The methodology was applied to an Upper Devonian–Lower Carboniferous carbonate field. The workflow comprises borehole image structural/textural analysis with vug fraction identification, quantitative geological descriptions from thin sections, and petrophysical measurements. The geological section is divided into six rock types, which were controlled by sedimentary and diagenetic processes. The created Rock Type Catalogue provides clear links between rock types and log data, including wells with standard suites of logs. The results will be useful for geological modelling and validation of the future drilling strategy for the studied field.
Predicting task performance from psychological ownership and innovative work behaviour: A cross sectional study

Abstract The study examines a mediated mechanism for enhancing nurses’ task performance through the interaction of psychological ownership and innovative work behaviour. Data for the study was conveniently collected using self-reported questionnaires from a sample of 438 respondents and analysed using partial least square-based structural equation modelling . Results showed that psychological ownership of nurses improves their’ innovative work behaviour and task performance. Besides, innovative work behaviour was found to positively predict nurses’ task performance and further mediates the effect of psychological ownership on task performance. Health-care managers can capitalize on psychological ownership competencies of nurses to enhance their innovative work behaviour and performance. This can foster the promotion of quality and efficient health-care services which are critical in any health-care facility and for nations at large.