Miracle-dz/UniFAR-FTUs huggingface dataset:
The electrocatalysis of oxygen evolution reaction on La 1 ¡ x Ca x FeO 3 ¡ d perovskites in alkaline solution

The electrocatalytic oxygen evolution reaction (OER) on iron based perovskites with composition La1 xCaxFeO3 d (0.0 x 1.0) in alkaline solution has been investigated. The perovskite samples were synthesized by combustion method. Energy dispersive spectroscopy and X-ray photoelectron spectroscopy were used to determine the bulk and the surface composition, respectively. The X-ray diffraction and iodometric titration method were employed to examine the phases and the oxidation state, respectively. It was observed that incorporation of calcium (Ca2þ) ions in the lattice of LaFeO3 decreases the lattice parameters and the cell volume systematically as evaluated by Rietveld method. Furthermore, increase in the degree of Ca2þ substitution from 0.0 to 1.0, increases the average oxidation state of iron from Fe3þ to Fe4þ in addition to creating oxygen vacancies. The evaluation of OER kinetics on a rotating disk electrode setup suggests that incorporation of Ca2þ decreases the activity initially (0.0 x 0.4), but further substitution increases the activity. The maximum activity was observed for x 1⁄4 1.0. This change in the OER activity suggests an interplay between the bond lengths and angles, oxygen vacancy and the average oxidation state of Fe. © 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
Unconventional superconductivity in 3 d rocksalt transition metal carbides

Through calculation and analysis of electronic structure and lattice dynamics in 3d transition metal carbides, we identify MnC as a novel compound displaying unconventional superconductivity. Though unstable in the absence of applied pressure at 0 K, MnC may be stabilized above 300 K or 13 GPa due to enhanced t2g orbital overlap or phonon-phonon interactions respectively. In the resulting structure, which adopts a ferromagnetic configuration with magnetization of 1.55 μB/Mn, we predict superconductivity occurring below a critical temperature of 16.2 K. Further investigation reveals this unconventional superconductivity derives from phonon-mediated minority-spin-triplet Cooper pairs, for which competing magnetic order is also suggested to play a role. Consideration of all 3d transition metal carbides yields a holistic explanation of trends in stability and superconductivity. Two unique cases are highlighted: (i) FeC, with a critical temperature of 4.0 K, may be stabilized by temperature or pressure, whereas (ii) ZnC, with a high critical temperature of 27.8 K, remains stable at 0 K owing to complete filling and strong localization of its 3d shell. The findings here contribute to the understanding of factors influencing superconductivity, hence forming a basis on which a materials-by-design approach may be utilized for next-generation applications such as spintronic devices. Page 3 of 38 Journal of Materials Chemistry C
A cross-sectional household analysis of household consumption patterns: an indirect approach to identify the possible factors of personal bankruptcy

Although the standard of living has consistently improved, personal bankruptcy remains an uncommon issue in Malaysia. This paper investigates the relationship between consumption patterns and income of Malaysians by examining income elasticity using the Engel curve. Data were collected from the Household Expenditure Surveys of 2004, 2009, and 2014 and analysed using ordinary least square regression and the Working-Leser model. The results showed that out of 12 expenditure components, three were found to be necessity goods: food and non-alcoholic beverages, clothing and footwear, and housing and utility. It was found that households led by youths spent more on luxury goods compared to those led by heads aged 40 and above. Males, Bumiputeras, and households living in urban areas spent more on luxury goods. Tobacco, alcoholic beverages, hotels, private education, and private healthcare were considered as luxury goods for Malaysian households. This study suggests that the public, especially the younger generation, should be exposed more to the knowledge and awareness of debts, bankruptcy and lifestyles.
Impact-Focused Cyber Incident Response

Traditional incident response methods, where the standard approaches have been to contain, stop and recover from attacks as quickly as possible, have always represented the best intentions of the CyberDefence community. However, if learning about the attacker is one of the interests of the defending organisation, the traditional methods have not necessarily been the most appropriate method of accomplishing this goal. To evaluate the appropriateness of the standard incident-response methods, several influences on traditional and non-conventional cyber-security were considered by stakeholders potentially affected by cyber-attacks. Their opinions were evaluated to produce conceptual models relating to dynamic asset value, intelligence value and cyber-response decision-making considering a balance of equities. Finally, their responses to a survey were assessed using Structural Equation Modelling which resulted in the production of a high-level model. This model describes a novel Cyber-Incident Response method which uses the potential “effects” and impact (on the mission) of a cyber-attack to determine the most appropriate response method rather than utilising the traditional methods as a standard response. It is intended that this model be used to drive the creation of cyber-incident response procedures which can be tailored within the legal, political and resource constraints of an organisation. Introduction Since the earliest days of formal Computer Emergency Response Teams (Schleris, 1988), traditional Cyber-Incident Response processes have concentrated on responding to cyber threats by triaging attacks until systems can be restored to full functionality as quickly as possible. This can be seen in the evolution from the early descriptions of processes (Wack, 1991), (West-Brown, Stikvoort, & Kossakowski, 1998), (Northcutt, 2003) illustrated by the diagram at Figure 1, to the model from the National Institute of Standards and Technology (NIST) shown at Figure 2 (Cichonski, Millar, Grance, & Scarfone, 2012). Figure 1 SANS Institute Incident Response Processes, 2003 Preparation
Visualizing Categorical Data Arising in the Health Sciences Using Hammock Plots

I introduce the hammock plot, a new plot that can be used to visualize categorical data and mixed categorical / continuous data. It is well suited for all types of categorical data: both unordered and ordered categorical data as well as interval data. It can be viewed as a generalization of parallel coordinate plots where the lines are replaced by rectangles that are proportional to the number of observations they represent. In addition to the rectangles, hammock plots also incorporate univariate descriptors such as category labels into the graph. I illustrate the hammock plot with examples from the health sciences. Introduction There are four commonly used plots for visualizing high dimensional data: scatter plot matrices (Hartigan 1975), Mosaic plots (Hartigan and Kleiner, 1991, Friendly, 1994, Theus, 1996), parallel coordinate plots (Inselberg 1984, Wegman 1990) and Trellis displays (Becker et al. 1996, Theus, 1999). Scatter plot matrices and parallel coordinate plots are best suited for continuous data. Over plotting is sometimes a problem for these plots. Over plotting occurs when more than one observation is assigned to the same physical space on the plot. A common way to deal with (unordered) categorical data is to assign each category a numerical value. If these values are then plotted an extreme amount of over plotting occurs. Consequently, neither scatter plot matrices nor parallel coordinate plots do well with categorical data either. Jittering, i.e. adding spherical noise to an observation, can be used to alleviate the over plotting problem somewhat. Mosaic plots were conceived to display categorical data. Mosaic plots are not suited for continuous data at all. There are several types of categorical data: unordered categorical data, ordered categorical data, and interval data. Interval data are ordered data for which the separation between data points has meaning (Agresti, p.3). The number of comorbidities of a patient, or the number of children of a parent are examples of interval data. Mosaic plots are well suited for unordered and ordered categorical data. Mosaic plots treat interval data like ordered categorical data the distance between categories is not visually apparent. Neither Mosaic plots, scatter plot matrices nor parallel coordinate plots are well suited for data that have both categorical and continuous variables. In Trellis displays one specific plot (e.g. scatter plot or a box plot) is displayed for different subsets of conditioning variables. These plots are then arranged as a panel. For example, one might display two continuous and one categorical variable as a panel of scatter plots – one for
Th 17 cells promote tumor growth in an immunocompetent orthotopic mouse model of prostate cancer

Interleukin-17 (IL-17) has been demonstrated to promote development of a variety of cancers including prostate cancer in genetically modified mouse models. IL-17 is the main product secreted by T helper 17 (Th17) cells. A recent study has shown that Th17 cells and related genes are upregulated in human prostate cancers. However, there is no direct experimental evidence to demonstrate Th17’s role in prostate cancer. In the present study, we co-implanted mouse prostate cancer MPC3-luc cells with Th17-polarized mouse splenocytes in the prostate of immunocompetent C57BL/6J male mice. We found that Th17-polarized splenocytes promoted orthotopic allograft prostate tumor growth compared to the control splenocytes. The numbers of IL-17-positive lymphocytes and macrophages were higher in the prostate tumors grown from co-implantation of MPC3-luc cells and Th17polarized splenocytes, compared to the prostate tumors grown from co-implantation of MPC3-luc cells and control splenocytes. Our findings provide the first direct experimental evidence that Th17 cells may promote prostate cancer growth.
Efficacy and safety of budesonide / formoterol compared with salbutamol in the treatment of acute asthma

This study compared the efficacy and safety of budesonide/formoterol (Symbicort Turbuhaler) with salbutamol pressurized metereddose inhaler (pMDI) with spacer for relief of acute bronchoconstriction in patients with asthma. In this randomized, double-blind, parallelgroup study, patients (nZ104 allocated to treatment; nZ103 received treatment; mean age 45 years) seeking medical attention for acute asthma (mean FEV1 43% of predicted) received two doses repeated at tZK5 and 0 min of either budesonide/formoterol (320/9 mg, two inhalations) or salbutamol (100 mg! eight inhalations); total doses 1280/36mg and 1600 mg, respectively. All patients received prednisolone 60 mg at 90 min and FEV1 was assessed over 3 h. FEV1 90 min after dosing (primary variable) increased compared with pre-dose FEV1 by an average of 30% and 32% for budesonide/formoterol and salbutamol, respectively (PZ0.66), with similar increases at all timepoints from 3 to 180 min for both groups. Mean pulse rate over 3 h was significantly higher in the salbutamol group versus the budesonide/formoterol group (92 vs. 88 bpm; P! 0.01). No treatment differences were seen for other vital signs, including ECG. High-dose budesonide/formoterol was effective and well tolerated for the treatment of acute asthma, with rapid onset of efficacy and a safety profile over 3 h similar to highdose salbutamol. q 2005 Elsevier Ltd. All rights reserved.
Goal-Driven Exploration for Android Applications

This paper proposes a solution for automated goal-driven exploration of Android applications - a scenario in which a user, e.g., a security auditor, needs to dynamically trigger the functionality of interest in an application, e.g., to check whether user-sensitive info is only sent to recognized third-party servers. As the auditor might need to check hundreds or even thousands of apps, manually exploring each app to trigger the desired behavior is too time-consuming to be feasible. Existing automated application exploration and testing techniques are of limited help in this scenario as well, as their goal is mostly to identify faults by systematically exploring different app paths, rather than swiftly navigating to the target functionality. The goal-driven application exploration approach proposed in this paper, called GoalExplorer, automatically generates an executable test script that directly triggers the functionality of interest. The core idea behind GoalExplorer is to first statically model the application's UI screens and transitions between these screens, producing a Screen Transition Graph (STG). Then, GoalExplorer uses the STG to guide the dynamic exploration of the application to the particular target of interest: an Android activity, API call, or a program statement. The results of our empirical evaluation on 93 benchmark applications and the 95 most popular GooglePlay applications show that the STG is substantially more accurate than other Android UI models and that GoalExplorer is able to trigger a target functionality much faster than existing application exploration techniques.
FEATURE EXTRACTION FROM IMAGES WITH USE OF CONVOLUTIONAL NEURAL NETWORKS : APPLICATION TO SECURING PERSONAL DATA

The task of recognizing the bank cards on images is considered in this paper. This task is motivated by premoderation of images in social networks in order to avoid leakage of personal data. An example of such data is the number of bank card. Detection algorithm based on convolutional neural networks is applied for this task. A number of experiments were conducted to develop the most optimal neural network architecture, which took into account the speed and accuracy of recognition. In the course of the experiments, the recognition accuracy of 91% and the processing speed of 25 images per second were achieved.
GLUTATHIONE PEROXIDASE PRO 200 LEU GENE POLYMORPHISM AS A POTENTIAL PREDICTOR OF RENAL FUNCTION DECLINE IN RENAL TRANSPLANT RECIPIENTS

Mutations in genes encoding antioxidant enzymes may reduce their activity and make organism more prone to oxidative damage. The objective of this study was to determine the distribution of glutathione peroxidase 1 (GPX1) Pro200Leu gene polymorphism in renal transplant recipients and healthy volunteers, as well as the association between investigated gene polymorphism and erythrocytes’ antioxidative status and estimated GFR (eGFR) within a two-year follow–up after renal transplantation. A total of 85 patients with transplanted kidney and 110 healthy volunteers were genotyped for GPX1 Pro200Leu gene polymorphisms using the polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) method. Of all patients enrolled in genotyping analysis, only 72 patients on tacrolimus went into oxidative stress parameters research. We measured the erythrocytes’ concentration of reduced glutathione (GSH) and the activities of GPX and glutathione reductase (GR). GFR was estimated by MDRD formula for creatinine clearance. There was no statistical difference in the distribution of GPX1 gene polymorphism between patients and controls. The obtained results demonstrated that renal transplant recipients with Leu/Leu genotype of tested GPX1 polymorphism had higher erythrocytes’ activity of GR compared to the carries of Pro/Pro genotype, but there were no differences in other oxidative stress parameters. The carriers of at least one Leu allele (Pro/Leu + Leu/Leu genotype) had significant decline in eGFR between the first and second year post-transplant. Genotyping of tested polymorphism in clinical practice may represent significant predictor of renal function decline and may provide identification of patients at high risk of graft loss. Acta Medica Medianae 2017;56(1):17-23.
ANTIMICROBIAL , ACUTE TOXICITY AND ANTI-INFLAMMATORY INVESTIGATIONS OF MG ( II ) COMPLEX OF ACETAMINOPHEN

Magnesium complex of Acetaminophen was synthesized and characterized by infrared spectroscopy, UV-Visible spectroscopy, melting point, X-Ray diffraction analysis and conductivity measurements. On the basis of this study, it is proven that acetaminophen acts as a bidentate ligand coordinated to the metal ion through phenol and carbonyl oxygen atom. Antimicrobial and antifungal activities of magnesium complex and acetaminophen were determined against Bacillus subtilis, Staphylococcus aureus, Escherichia coli, Salmonella typhi, Pseudomonas aeroginesa and Candida albicans. The results indicate that acetaminophen showed sensitivity against Pseudomonas aeroginesa. Magnesium complex of acetaminophen showed activity against Staphylococcus aureus, Salmonella typhi and Pseudomonas aeroginesa. The lethal dose determination (LD50) of magnesium complex was 1265 mg/kg. The complex was considered to be slightly toxic. Anti-Inflammatory activity of the synthesized complex has been carried out by paw edema method in rats. The Maximum Percentage inhibition of Magnesium complex was 18.9%.
Egg Production and Longevity of Lygus hesperus ( Hemiptera : Miridae ) Adult Females Under Constant and Variable Temperatures 1

Changing irrigation practices and rising global temperatures will impact pest insect populations, but limited knowledge of the thermal ecology of individual species prevents accurate modeling of their likely responses. Most studies focusing on temperature responses of the western tarnished plant bug, Lygus hesperus Knight (Hemiptera: Miridae), a major pest of cotton (Gossypium spp.), have been limited to constant conditions, whose relevance to the variable temperatures of field environments is unknown. To address this, newly emerged adults of L. hesperus were reared under environmentally relevant low (mean, 158C), medium (mean, 228C), or high (mean, 298C) constant (6,0.58C) or diurnally fluctuating (688C) temperatures. Females under the warmest conditions produced eggs sooner and at a faster rate than those reared under the coolest conditions but also had reduced lifespans. Variable temperatures shortened the preoviposition period under cool conditions and lengthened the duration under high heat. Lifetime egg production was unaffected by temperature regime. The adaptive responses of adult L. hesperus to environmental temperature indicate that implementing a control strategy that uses the thermal stress created by deficit irrigation may be difficult, although other developmental stages of this pest may be more susceptible.
Attenuation of EphrinB 2 Reverse Signaling Decreases Vascularized Area and Preretinal Vascular Tuft Formation in the Murine Model of Oxygen-Induced Retinopathy

PURPOSE. EphB4 and ephrinB2 are known key regulators of retinal vascular development, but due to their capacity for bidirectional signaling, delineation of their individual roles in this process remains unclear. To better dissect out individual contributions, a model of proliferative retinopathy in mice with attenuated ephrinB2 reverse signaling was studied. It was hypothesized that endothelial ephrinB2 reverse signaling regulates hypoxia-induced capillary sprouting, as well as the pathologic formation of neovascular tufts in postnatal retinal microvascular networks.
A search for clusters in arrival directions of UHECRs observed by the Yakutsk array

Recent claims of autocorrelations in the data of giant extensive air shower (EAS) arrays and presumable correlations between BL Lacertae and ultra-high energy cosmic rays (UHECRs) incite to sift the Yakutsk array data. Present analysis is based on data recorded between 1974 and 2004, with a total of 19407 showers selected with energies from 10 to 10 eV, zenith angles below50 and axes within array area. An aim is to check whether there is an appreciable flux of neutral particles from BL Lacertae.
SIMULATION ANALYSIS OF THE ELECTRODE-ARC INTERACTION IN FREE BURNING ARCS

Electrodes are important constituents of plasma devices determining the properties of arc discharge. The arc-electrode interaction enables the current transfer in the thin near-electrode layer and controls the energy balance and the heating of the electrodes. In this work, an up-todate nonequilibrium model, aimed at the unified description of the arc from the one electrode to the other, is used to analyse the arc-electrode interaction in a free-burning argon arc at atmospheric pressure. The space-charge sheaths adjacent to the electrodes are treated consistently with the bulk plasma in order to obtain the sheath voltage drops. The heat fluxes toward the electrodes, and the temperatures of heavy particles and electrons, are presented for arc currents of 100-200 A.
Demographic and psychosocial characteristics of middle-aged women and men who use dietary supplementsResults from the Malmo Diet and Cancer Study

In the Western world, huge amounts of money are being spent on dietary supplements, although this usage may be useless and possibly harmful. Factors that influence supplement consumption have not been well defined. This paper aims to describe relations between supplement usage and various sociodemographic and psychosocial factors. The study cohort consisted of 6,545 men and women, aged 45–65 years, who during 1991 and 1992 participated in the Malmo Diet and Cancer Study, a large-scale prospective cohort study. Data on supplement consumption were recorded during 7 consecutive days. Each participant also completed a questionnaire, covering education, work history, alcohol, smoking, perceived health and psychosocial factors such as social network, social support, job strain, etc. Total body fat was also measured. The prevalence of supplement consumption was 43% among women and 29% among men. The most important sododemographic factors were education, ethnicity and age. Female users tended to be slim, have worse perceived health and to drink more alcohol than other women, none of which applied to male users. No differences in smoking habits between users and non-users were noted. None of the psychosodal factors appeared to influence supplement consumption. Those who used vitamins and/or minerals only were more similar to non-users than those who used all kinds of dietary supplements. There was a substantial variation in consumption prevalence with season. The prevalence of supplement consumption is influenced by a number of demographic factors and also by season. To claim that supplement users are health-conscious is an over-simplification. The psychosocial factors behind supplement usage call for further analyses.
Animacy norms for 224 European Portuguese concrete words

Words are frequently used, for example, as stimuli in cognitive and linguistic research. Consideringthat there are various psycholinguistic variables known to influence word processing (e.g., frequency,concreteness), it is important to control for those variables. Recently, it has been reported that animacy(the characteristic of being a living/animate or a non-living/inanimate entity) also affects variouscognitive and linguistic processes. In fact, animacy has been found to be one of the best predictors offree recall. However, animacy is still an uncontrolled variable in most studies and information aboutthis variable is still, for the most part, absent. In this study, we provide animacy norms for a set of224 European Portuguese concrete words. Such data should provide Portuguese researchers a helpfultool to start considering this dimension in a systematic way in their research.