Miracle-dz/UniFAR-FTUs huggingface dataset:
Projected changes in the frequency of climate extremes over southeast Australia

Most studies evaluating future changes in climate extremes over Australia have examined events that occur once or more each year. However, it is extremes that occur less frequently than this that generally have the largest impacts on sectors such as infrastructure, health and finance. Here we use an ensemble of high resolution (∼10 km) climate projections from the NSW and ACT Regional Climate Modelling (NARCliM) project to provide insight into how such rare events may change over southeast Australia in the future. We examine changes in the frequency of extremes of heat, rainfall, bushfire weather, meteorological drought and thunderstorm energy by the late 21st century, focusing on events that currently occur once every 20 years (those with a 5% Annual Exceedance Probability). Overall the ensemble suggests increases in the frequency of all five extremes. Heat extremes exhibit the largest change in frequency and the greatest ensemble agreement, with current 1-in-20 year events projected to occur every year in central Australia and at least every 5 years across most of southeast Australia, by the late 21st century. The five capital cities included in our model domain are projected to experience multiple climate extremes more than twice as frequently in the late 21st century, with some cities projected to experience 1-in-20 year events more than six times as frequently. Although individual simulations show decreases in some extremes in some locations, there is no strong ensemble agreement for a decrease in any of the climate extremes over any part of southeast Australia. These results can support adaptation planning and should motivate further research into how extremely rare events will change over Australia in the future.
Morphological Awareness: A Tool to Promote Reading Fluency and Accuracy in Hebrew in Students with Reading Disabilities

The effectiveness of a morphological awareness (MA) intervention program on reading fluency and accuracy performance was examined in 40 students with reading disabilities in fourth to sixth grade, ranging in age from nine to 12 years old (M = 10.51, SD = 0.89). The study used an experimental pre–post design consisting of a morphological intervention group and a comparison group. Students participating in the 15–week intervention program showed an advantage over comparison group students in all measures. Their improvement in MA resulted in a better reading fluency and accuracy performance as well as a significant change in reading level according to national norms. The results suggest that disabled readers can benefit from morphological intervention and use morphological cues in reading.
Limited-angle CT reconstruction with generalized shrinkage operators as regularizers

Limited-angle reconstruction is a very important but challenging problem in the field of computed tomography (CT) which has been extensively studied for many years. However, some difficulties still remain. Based on the theory of visible and invisible boundary developed by Quinto et.al, we propose a reconstruction model for limited-angle CT, which encodes the visible edges as priors to recover the invisible ones. The new model utilizes generalized shrinkage operators as regularizers to perform edge-preserving smoothing such that the visible edges are employed as anchors to recover piecewise-constant or piecewise-smooth reconstructions, while noises and artifacts are suppressed or removed. This work extends our previous research on limited-angle reconstruction which employs gradient \begin{document}$ \ell_0 $\end{document} and \begin{document}$ \ell_1 $\end{document} norm regularizers. The effectiveness of the proposed model and its corresponding solving algorithm shall be verified by numerical experiments with simulated data as well as real data.
A High-Permittivity Dielectric Material-Filled SISL Antenna With Cavity Backing

A high-permittivity dielectric material-filled substrate integrated suspended line (SISL) antenna with size reduction is proposed, which provides a novel fixing method for dielectric resonator antenna (DRA). The proposed antenna is based on five substrate layers with two air cavities while the high-permittivity dielectric material is filled with the upper air cavity of the hollowed substrate. So the antenna is self-packaging. The feeding line is on M5 layer and the bottom air cavity affects the resonant frequency much. The expression about the resonant frequencies, the height of the bottom air cavities, and the size of DRA is given. The operating frequency band is from 6.2 to 6.5 GHz and the maximum antenna gain is 6 dBi. In order to reduce the resonant frequency further, a cross strip is added to M2 layer. At last, the impedance bandwidth for |S11| < −10 dB is from 5.7 to 6 GHz and the maximum antenna gain is 5.2 dBi.
An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment

Stock market forecasting is an important research area, especially for better business decision making Efficient stock predictions continue to be significant for business intelligence Traditional short-term stock market forecasting is usually based on historical market data analysis such as stock prices, moving averages, or daily returns However, major events’ news also contains significant information regarding market drivers An effective stock market forecasting system helps investors and analysts to use supportive information regarding the future direction of the stock market This research proposes an efficient model for stock market prediction The current proposed study explores the positive and negative effects of coronavirus events on major stock sectors like the airline, pharmaceutical, e-commerce, technology, and hospitality We use the Twitter dataset for calculating the coronavirus sentiment with a Long Short-Term Memory (LSTM) model to improve stock prediction The LSTM has the advantage of analyzing relationship between time-series data through memory functions The performance of the system is evaluated by Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE) The results show that performance improves by using coronavirus event sentiments along with the LSTM prediction model © 2021 Tech Science Press All rights reserved
The effectiveness of tenofovir-based pre-exposure prophylaxis for prevention of HIV acquisition among sub-Saharan African women at high risk: a systematic review

Introduction women in sub-Saharan Africa (SSA) are disproportionately affected by the HIV epidemic. In 2019, they constituted 59% of new infections; thus, they remain a key population for control. Public health interventions to prevent acquisition of HIV in this high-risk population are urgently needed. Tenofovir-based pre-exposure prophylaxis (TFV-PrEP) has been shown to reduce HIV infections in other key populations. However, comprehensive evidence regarding TFV-PrEP effectiveness in women living in SSA has not been determined. Therefore, we undertook a systematic review to determine the effectiveness of tenofovir-1% (TFV-1%) vaginal gel, oral tenofovir (TFV) and tenofovir-emtricitabine (TDF-FTC) pre-exposure prophylaxis for primary acquisition of HIV in at-risk women living in SSA. Methods OVID Medline, Embase, CENTRAL, Web of Science and Clinical Trials.gov were searched for eligible studies from 1st January 2020 to 31st July 2020. Only randomised controlled trials (RCTs) conducted in women living in SSA were included. Measures of effectiveness (hazard ratios (HR), incidence rate ratios (IRR)) were extracted from individual studies to determine the effectiveness of TFV-PrEP in preventing HIV infection among at-risk women living in SSA. Results from 2002 non-duplicate articles, four RCTs evaluating the effectiveness of one or more of the interventions against placebos were included. TFV-1% vaginal gel, oral TDF or TDF-FTC were not effective in preventing the acquisition of HIV infection in women living in SSA. However, poor adherence by study participants could have confounded the true effectiveness of TFV-PrEP in this high risk population. Meta-analysis was not conducted given the limited number of eligible studies identified from the search. Conclusion the current evidence does not support the effectiveness of TFV-PrEP for HIV in SSA women. More studies aimed at addressing factors driving low adherence to HIV interventions in this high risk population are urgently needed in order to improve the design of future RCTs leading to the determination of more reliable estimates of TFV-1% vaginal gel or oral TDF or TDF-FTC effectiveness. Protocol registration: this systematic review was not registered in PROSPERO.
Civic Learning for Dissent: Developing Students' Activist Orientation

Abstract:Our multi-institutional study addresses the question: How do college students' backgrounds, collegiate engagement, and perceptions of the campus climate relate to the development of an activist orientation? Activism is framed as engagement in collective, sociopolitical action and measured using the Activism Orientation Scale (AOS). Meaningful engagement with peers and perceiving a positive climate for contributing to a larger community supported students' propensity to engage in activism. Two key findings were inconsistent with previous scholarship. Participation in service-learning courses and the climate for perspective taking were negatively associated with activism. Findings suggest heterogeneity among civic outcomes, recognizing that some outcomes may exist in tension.
Deposition of unattached RaA atoms in the tracheobronchial region

To accurately evaluate a human lung dose, it is important to know the fraction of inhaled unattached radon daughters deposited on the surfaces of the trachea and bronchi as well as their distribution. Our experimental results are described for determining the deposition of unattached RaA on a model of the tracheobronchial tree, based on Weibel`s model of airway dimensions. The airway cast, which simulated generations 0 to 4 of the Weibel model, was placed in a glass cell connected to a chamber filled with radon gas. After radon gas (concentration, {approximately}150 kBq m{sup -3}) passed through the model at a flow rate of 15 L min{sup -1} for 20 min, the model was removed and sectioned in small pieces. Alpha activity on the inner surface of each piece was counted by a small detector with a ZnS(Tl) scintillator. {open_quotes}Hot spots{close_quotes}, which had activity several times higher than the surrounding area, where especially observed on the inner side of each generation. The deposition efficiency measured at generation 0 was 2.1 to 2.7 times higher than the value calculated from the Gormley and Kennedy formula, and at generation 3 the efficiency was lower by one-half. Values at other generations agreed with thosemore » predicted theoretically. « less
Thermosphere modeling capabilities assessment: geomagnetic storms

The specification and prediction of density fluctuations in the thermosphere, especially during geomagnetic storms, is a key challenge for space weather observations and modeling. It is of great operational importance for tracking objects orbiting in near-Earth space. For low-Earth orbit, variations in neutral density represent the most important uncertainty for propagation and prediction of satellite orbits. An international conference in 2018 conducted under the auspices of the NASA Community Coordinated Modeling Center (CCMC) included a workshop on neutral density modeling, using both empirical and numerical methods, and resulted in the organization of an initial effort of model comparison and evaluation. Here, we present an updated metric for model assessment under geomagnetic storm conditions by dividing a storm in four phases with respect to the time of minimum Dst and then calculating the mean density ratios and standard deviations and correlations. Comparisons between three empirical (NRLMSISE-00, JB2008 and DTM2013) and two first-principles models (TIE-GCM and CTIPe) and neutral density data sets that include measurements by the CHAMP, GRACE, and GOCE satellites for 13 storms are presented. The models all show reduced performance during storms, notably much increased standard deviations, but DTM2013, JB2008 and CTIPe did not on average reveal a significant bias in the four phases of our metric. DTM2013 and TIE-GCM driven with the Weimer model achieved the best results taking the entire storm event into account, while NRLMSISE-00 systematically and significantly underestimates the storm densities. Numerical models are still catching up to empirical methods on a statistical basis, but as their drivers become more accurate and they become available at higher resolutions, they will surpass them in the foreseeable future.
Synthesis, characterization, and structural determination of copper(II) complexes with alkyl derivatives of hydroxybenzophenones

Abstract Four mononuclear copper(II) complexes, [Cu(LFQM-115)2] (1), [Cu(LFQM-116)2] (2), [Cu(LFQM-117)2] (3) and [Cu(octyloxy)2] (4) [LFQM-115 = 2-hydroxy-4-O-methylbenzophenone (C14H11O3), LFQM-116 = 2-hydroxy-4-O-butylbenzophenone (C17H18O3), LFQM-117 = 2-hydroxy-4-O-(33-dimethylallyl)benzophenone (C18H18O3) and octyloxy = 2-hydroxy-4-O-octylbenzophenone (C21H25O3)], have been prepared and investigated by infrared spectroscopy, thermal analysis, and powder and single crystal X-ray diffraction. Even though the synthesis and infrared analysis of 1, 2, and 4 have been reported previously, their crystal structures were elucidated for the first time here. In addition, the crystal structures of LFQM-116 and LFQM-117 were also determined by single crystal X-ray diffraction. The pseudo-translational symmetry found in LFQM-116 and the isomorphism between LFQM-115 and LFQM-117 are discussed. The complexes were prepared from a reaction of copper(II) nitrate trihydrate and the respective ligand in a (1:2) molar ratio in methanol (for 1 and 2) or THF (for 3 and 4) with addition of NaOH. Furthermore, crystallographic studies show that each copper(II) exhibits a square planar geometry, coordinated by four oxygens of two ligands. The nature and crystal packing of the intermolecular interactions are discussed. Compounds 2 and 3 are isomorphic crystals and all structures have the same supramolecular synthon.
Education Policies in the Context of Political Communication in Turkey

The present study aims to discuss how political communication shape education policies in Turkey: How does political communication make education policy a political product based on ideology? What are the ideological differences between education policies in Turkey? The political party programs and election manifestos related to the General Election held on June 24, 2018 in Turkey are examined with the content analysis method in the context of political communication. The data of this research confirmed that political party’s ideologies are effective in the determination and the application process of education policies in Turkey. As a result, the impact of political communication on education policy is defended as a political product in this paper.
Consumer Versus Corporate Moral Responsibilities for Creating a Circular Fashion: Virtue or Accountability?

Scholars in the fashion discipline have become more attentive to investigating how the fashion business can become more circular. In the past, many of the studies focused on identifying the supporting and/or hindering factors when creating a circular fashion (CF). Despite the insights these studies provide, their contributions are relatively limited in that many of them are exploratory in nature and skewed toward understanding CF from the stance of fashion companies who are situated at the supply side of the fashion economy. In contrast, little attention has been given to how consumers, on the demand side, perceive a CF. We employed a mixed-method approach using 332 respondents’ narrative data and empirically identified whether consumers attribute moral responsibility to fashion companies as well as to themselves for creating a CF and, if so, whether there are any nuanced differences in their perceptions of consumer versus corporate moral responsibilities for a CF.
Lp ‐Estimates for the ∂¯b ‐equation on a class of infinite type domains

We prove Lp estimates, 1≤p≤∞ , for solutions to the tangential Cauchy–Riemann equations ∂¯bu=ϕ on a class of infinite type domains Ω⊂C2 . The domains under consideration are a class of convex ellipsoids, and we show that if ϕ is a ∂¯b ‐closed (0,1)‐form with coefficients in Lp , then there exists an explicit solution u satisfying ∥u∥Lp(bΩ)≤C∥ϕ∥Lp(bΩ) . Moreover, when p=∞ , we show that there is a gain in regularity to an f‐Hölder space.
Customer Profiling for Malaysia Online Retail Industry using K-Means Clustering and RM Model

Malaysia's online retail industry is growing sophisticated for the past years and is not expected to stop growing in the following years. Meanwhile, customers are becoming smarter about buying. Online Retailers have to identify and understand their customer needs to provide appropriate services/products to the demanding customer and attracting new customers. Customer profiling is a method that helps retailers to understand their customers. This study examines the usefulness of the LRFMP model (Length, Recency, Frequency, Monetary, and Periodicity), the models that comprised part of its variables, and its predecessor RFM model using the Silhouette Index test. Furthermore, an automated Elbow Method was employed and its usefulness was compared against the conventional visual analytics. As result, the RM model was selected as the finest model in performing K-Means Clustering in the given context. Despite the unusefulness of the LRFMP model in K-Means Clustering, some of its variables remained useful in the customer profiling process by providing extra information on cluster characteristics. Moreover, the effect of sample size on cluster validity was investigated. Lastly, the limitations and future research recommendations are discussed alongside the discussion to bridge for future works.
Formation Control of Stochastic Multivehicle Systems

In this article, we propose a decentralized approach to formation control in groups of stochastic mobile robots. Different from existing work, we explicitly model the presence of stochastic perturbations affecting the dynamics and model the multivehicle system through stochastic differential equations. We design a decentralized formation control strategy where only a subset of informed agents is aware of the desired target locations and derive sufficient conditions for almost sure convergence to the desired formation pattern. Specifically, we illustrate how the achievement of the control goal is related to the intensity of the noise and to the topology of the communication graph among the robots. The proposed formation control strategy is tested through extensive numerical analyses and validated experimentally on ground robots.
Efficient Taylor expansion computation of multidimensional vector functions on GPU

The Taylor expansion [19] is used in many applications for a value estimation of scalar functions of one or two variables in the neighbour point. Usually, only the first two elements of the Taylor expansion are used, i.e. a value in the given point and derivatives estimation. The Taylor expansion can be also used for vector functions, too. The usual formulae are well known, but if the second element of the expansion, i.e. with the second derivatives are to be used, mathematical formulations are getting too complex for efficient programming, as it leads to the use of multi-dimensional matrices. This contribution describes a new form of the Taylor expansion for multidimensional vector functions. The proposed approach uses "standard" formalism of linear algebra, i.e. using vectors and matrices, which is simple, easy to implement. It leads to efficient computation on the GPU in the three dimensional case, as the GPU offers fast vector-vector computation and many parts can be done in parallel.
On the local theory of prescribed Jacobian equations revisited

In this paper we revisit our previous study of the local theory of prescribed Jacobian equations associated with generating functions, which are extensions of cost functions in the theory of optimal transportation. In particular, as foreshadowed in the earlier work, we provide details pertaining to the relaxation of a monotonicity condition in the underlying convexity theory and the consequent classical regularity. Taking advantage of recent work of Kitagawa and Guillen, we also extend our classical regularity theory to the weak form A3w of the critical matrix convexity conditions.
The Development of Android-based Control System for Reinforcing the Electronic Control Subject

The advancement of technology has brought the control system technology recently to be more precise, stable, and reliable. It is also possible to utilize the sophisticated hardware embedded in the smartphone for controlling or monitoring system through the external modules. This study aimed to develop an Android-based control system that can be used to reinforce the students’ competence, particularly in the Electronic Control subject. The method used in this study was a linear sequential model that comprises analysis, design, coding, and testing. A total number of nine items of functional testing has been conducted, and the results revealed that the prototype control system could successfully react as designed. Nevertheless, the one that should be considered in the future study is the compatibility issue between the external controlled hardware and the smartphone.
Al-doped graphene as an effective adsorber for some toxic derivatives of aromatic hydrocarbons

The density functional theory (DFT) was used to investigate some toxic derivatives of aromatic hydrocarbons adsorption on perfect graphene (pG) and graphene-doped with B/Al/Ga (BG/AlG/GaG). And the parallel and vertical adsorptions were considered for the position relation between the adsorbent and adsorbate. The adsorption energy, adsorption distance, charge transfer and density of states (DOS) were discussed in optimized structures. The greater adsorption energy, shorter adsorption distance and more charge transfer were found in AlG by studying the four kinds of molecules (phenol/m-cresol/PCP/p-NP) adsorption on pG/BG/AlG/GaG. Then, 10 derivatives adsorption on AlG were reported, and the adsorption energy increased in the order of pentachlorophenol < 2,4,6-trichlorophenol < 2,4-dichlorophenol < p-cresol < m-cresol < phenol < o-chlorophenol < o-cresol < 2,4,6-trintrotoluene < para-nitrophenol. The interaction between these derivatives and the substrate was chemisorption for AlG and physisorption for pG. The oxygen atom in nitro group was more closer to the substrate than in hydroxyl group about optimized structures.