Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of particle size on the thermal properties of serpentine minerals

The efiects of particle size of chrysotile and platy serpentine on the difierential thermal and thermal gravimetric analyses have been investigated. It 'r,'as found with D'IA that decreasing the particle size decreased the starting and peak temperatures of the endothermic or dehydroxylation reaction and that the peak height of the exotherm was considerably increased although the peak temperature was not appreciably changed As the chrysotile particle size decreased the endothermic peak temperature decreased from a maximum of 710' C. l,r'ith no grinding, to a minimum of 670' C. when it was finely ground. When chrysotile samples from several sources were ground following a standard procedure, the DTA thermograms obtained were quite similar. TGA also showed the dehydroxylation (weight loss) occurring at lower temperatures when the samples were ground. The results indicate that if comparison between serpentine samples is the objective of a DTA-TGA study, the sampie preparation is of utmost importance, otherwise difierences noted may not be true differences but due to variations in particle size between samples. Data obtained with chrysotile and platy serpentine on a thermal increment diffractometer are given. DTA-TGA were also obtained on a brucite-carbonate sample indicating particle size has a similar effect on its endothermic reactions but it is not as larse as those noted for the serpentine minerals.
Discrimination, Harassment and Racism in Finnish Lower Secondary Schools

Abstract In this article, we examine the experiences of students in the ninth grade (aged 15–16 years) in relation to harassment, discrimination and racism. The study was carried out at eight Finnish lower secondary schools with a high proportion of students with an immigrant background in 2015. The sample consisted of survey data (n = 445) and thematic interviews (n = 112) conducted with young people of Finnish and immigrant origins. Approximately one-quarter of the respondents said that they had been harassed or discriminated against at schools, and one-tenth had experienced this behaviour in their free time. In addition, almost half of the young people thought that discrimination is widespread in Finland. The more often a student experienced discrimination, the less they liked school. Experiences of harassment, discrimination and racism were especially downplayed when the respondent was the target.
An Artificial Bee Colony Algorithm Based on a Multi-Objective Framework for Supplier Integration

Modern day industries strive to obtain long-term supplier integrations (SI) with potentially stronger supplier groups, to achieve fast and reliable production. This paper studies the process of selecting vendors, while simultaneously considering the aspects of random factors, multiple criteria, and efficiently reaching optimal solutions to improve the SI. A framework was developed that consists of three layers of expert opinions, supplier requirements, and multi-objective bee colony optimization. The model factors affecting the SI decision were explored from the comprehensive relevant literature, and these factors were shortlisted and prioritized. Routines for the modeled framework were coded by using the proposed algorithms which were implemented for a real-world problem from a manufacturing small and medium enterprise (SME) in Pakistan. Optimization of SI was carried out on an archived artificial bee colony (AABC). Its effectiveness was also evaluated by comparison with simple artificial bee colony (ABC) and particle swarm algorithms. The methodologically calculated results, obtained from simulation of a mathematically reinforced optimization framework, are highly beneficial for the industry, as well as local and international suppliers. A detailed and in-depth evaluation of suppliers was provided by the sensitivity analysis, which presented a more rigorous authentication and elaboration of the results. The presented framework is the first of its kind for the SMEs of Pakistan and can be applied with little modification to other industries.
MEDIATING ROLE OF COMMUNICATION SATISFACTION IN THE EFFECT OF INTERACTIONAL JUSTICE ON ORGANIZATIONAL CITIZENSHIP BEHAVIOR: THE CASE OF PUBLIC UNIVERSITY

In this study, it was aimed to examine the effect of interactional justice perceptions and communication satisfaction levels of employees on organizational citizenship behavior (OCB) and to determine whether communication satisfaction has a mediating role in the relationship between interactional justice and organizational citizenship behavior. For this purpose, data was collected from the academic and administrative staff of Osmaniye Korkut Ata University through a questionnaire. In the study, frequency analysis, normality test, exploratory and confirmatory factor analysis, reliability analysis, Pearson correlation analysis, path analysis with structural equation model (SEM) and Sobel test were used. As a result of the analyzes, it has been determined that interactional justice affects communication satisfaction and organizational citizenship behavior. It was found that communication satisfaction also affects organizational citizenship behavior. In addition, it has been revealed that communication satisfaction has a mediating role in the effect of interactional justice on organizational citizenship behavior.
Title: Effects of Lightness-Location Congruency on Consumers’ Purchase Decision Making Running Head: Lightness-Location Congruency Effect

A considerable body of psychological and neuroscientific research has demonstrated the existence of robust sensory correspondences between various features, attributes, or dimensions of experience in different sensory modalities. Despite findings indicating the importance of sensory correspondences to human information processing, research on purchase decision-making has not to date focused sufficiently on this phenomenon. The present study examines how the lightness of packaging colors, and the location of products on a display shelf interact to affect consumers’ purchase decision-making via perceived visual heaviness. As predicted, a display with light (dark) colored products positioned in the upper (lower) shelf positions increases shoppers’ perceptual fluency and facilitates their visual search, thus leading to the suggestion that “light” (“heavy”) locations are most appropriate for light (dark) colored products. Moreover, the lightness-location congruent display is shown to influence people’s choice behavior positively as well. This research also demonstrates that when consumers consider the lightness (in terms of their weight) of the products, they are more likely to choose light (vs. dark) colored products located in the upper shelf positions. These results therefore demonstrate that consumers’ purchase decision-making may be promoted by in-store environments designed to be congruent with their sensory correspondences.
BRAF V600E mutant, PD-L1

Over the last decade, we have witnessed significant advances in the treatment of advanced non-small cell lung cancer (NSCLC) through the joint revolutions of targeted genomic therapy and immunotherapy. We now have multiple effective therapeutics for metastatic NSCLC patients in the front-line setting that offer proven and durable clinical benefit compared to platinum doublet chemotherapy. As our tool set of therapeutics expand, so has the development of predictive and prognostic biomarkers. These biomarkers have been crucial in better defining subsets of NSCLC and directing optimal therapeutics in these more defined subsets. Currently, the main biomarkers in NSCLC that predict therapeutic efficacy include driver oncogene alterations detected by next-generation sequencing (NGS), such as ALK, ROS1, and NTRK fusions, sensitizing EGFR mutations, RET rearrangements, MET exon 14 skipping mutations, and BRAF mutations, and immune profiling with immunohistochemistry for Programmed death ligand-1 (PD-L1) expression level. For NSCLC patients with sensitizing driver mutations in oncogenes detected by NGS, matched kinase inhibitors offer excellent response rates and often with minimal toxicity. For NSCLC patients without driver mutations, immunotherapy with immune checkpoint inhibitors (ICI) targeting programmed death-1 (PD-1) or its ligand (PD-L1) offer improved overall survival, especially in patients with high PD-L1 expression, driven by the subset of patients that achieve remarkable durable responses. Despite our significant advancements, many questions remain, and among them being the optimal combination and sequencing of efficacious therapies. BRAF targeted therapy in NSCLC
On the 2018 Outburst of the Accreting Millisecond X-Ray Pulsar Swift J1756.9–2508 As Seen with NICER

We report on the coherent timing analysis of the 182 Hz accreting millisecond X-ray pulsar Swift J1756.9−2508 during its 2018 outburst as observed with the Neutron Star Interior Composition Explorer (NICER). Combining our NICER observations with Rossi X-ray Timing Explorer observations of the 2007 and 2009 outbursts, we also studied the long-term spin and orbital evolution of this source. We find that the binary system is well described by a constant orbital period model, with an upper limit on the orbital period derivative of ∣ P ˙ b ∣ < 7.4 × 10 − 13 s s−1. Additionally, we improve upon the source coordinates through astrometric analysis of the pulse arrival times, finding R.A. = 17h56m57. ˢ18 ± 0. ˢ08 and decl. = −25°06′27. ″8 ± 3. ″5, while simultaneously measuring the long-term spin frequency derivative as ν ˙ = − 7.3 × 10 − 16 Hz s−1. We briefly discuss the implications of these measurements in the context of the wider population of accreting millisecond pulsars.
The Technology Acceptance Model: An E-Commerce Extension

—Electronic-commerce has gained a great importance as a medium for conducting business. Researchers and market executives alike are still studying online consumer behavior with the purpose of better understanding it. One model widely used for understanding technology adoption in general is the technology acceptance model (TAM). In this study, we develop and test an E-commerce specific extension of the TAM. Two predictor variables are added to the original TAM, namely, process satisfaction, and outcome satisfaction. In addition, the TAM is extended by measuring actual behavior, in contrast to previous TAM application studies that measured intentions as a substitute for actual behavior. We measured actual use variable in terms of four criterion variables, namely, purchase, access number, access total time, and access average time. The extended TAM proved to better fit E-commerce environments by better explaining actual behavior than the original TAM.
A study on the performance of natural neighbour‐based Galerkin methods

In this paper we address the problem of improving natural element simulations in terms of computational cost. Several problems are discussed, that include an efficient natural neighbour search algorithm and a comparison of different natural neighbour‐based interpolation algorithms. In particular, we review the so‐called pseudo‐NEM, a moving least squares‐like approximation scheme that employs natural neighbours, and compare it with traditional Sibson and Laplace interpolation schemes in terms of both accuracy and computational cost. Some examples in linear Elasticity and visco‐plasticity are analysed in order to test the proposed schemes in engineering problems. Copyright © 2007 John Wiley & Sons, Ltd.
Optimal Prevention for Multiple Risks

This paper analyzes optimal prevention expenditures in a situation of multiple correlated risks. We focus on probability reduction (self-protection). This renders correlation endogenous so that we measure dependence as the relative deviation of the probability of joint losses from the uncorrelated case. If prevention concerns only one risk, introducing a negatively correlated exogenous risk increases the level of prevention expenditures. If prevention expenditures may be invested for both risks, a substitution effect arises due to the competition for resources. Under decreasing returns on self-protection we find that increased dependence increases overall prevention expenditures, but not necessarily prevention expenditures for each risk due to differences in prevention efficiency. Similar results are found when considering the impact of more severe losses. We derive policy implications from our results.
Amphoterin, the 30-kDa Protein in a Family of HMGl-type Polypeptides

Amphoterin is a heparin-binding protein that is developmentally regulated in brain and functionally involved in neurite outgrowth. Unexpectedly, amphoterin has a high mobility group 1 (HMG1)-type sequence. In the present study we have expressed amphoterin cDNA in a baculovirus vector and produced antibodies against the recombinant protein and several synthetic peptides. It was found that the amphoterin cDNA encodes the 30-kDa form of the protein isolated from tissues, whereas the co-purifying 28and 29-kDa proteins (p28 and p29) have closely related but distinct primary structures. Partial amino acid sequencing shows several local changes in the sequences of p28 and p29 compared with amphoterin, suggesting the occurrence of a multigene family that encodes at least three different HMG1-type sequences in the rat. Studies using the probes that discern amphoterin from the other HMG1-type proteins indicate a high level expression in various transformed cell lines. Immunostaining of cells with the amphoterinspecific antibodies indicates a cytoplasmic localization that becomes remarkably enriched at the leading edges in spreading and motile cells. An extracellular localization is suggested by immunostaining of nonpermeabilized cells and by a plasminogen-dependent degradation of amphoterin in the substratum-attached material of cells. Tissue-derived and recombinant amphoterins strongly enhance the rate of plasminogen activation and promote the generation of surfacebound plasmin both by tissue-type and urokinase-type plasminogen activators. The results suggest an extracellular function for amphoterin in the leading edge of various invasive cells.
Adjustment of the Minimum Spouting Velocity in a Conical Spouted Bed from Artificial Neural Networks

The minimum spouting velocity is one of the fundamental parameters in the application of the conical spouted bed pyrolysis, gasification and combustion, therefore it is necessary the adequate calculation and the use of a correlation with good adjustment, for this an artificial neural network has been applied, in order to improve the correlations of the literature. Six variables that involve different geometrical parameters and operation of the bed have been used. With the purpose to compare the results of the model with the experimental data and those predicted by the empirical equations, the quadratic error has been used. Although there is a complex relationship between the input variables and the output variables, and despite numerous of available data, the training and test steps of the network show a good adjustment with respect to the experimental values. This shows that an artificial neural network is an agile method to predict the minimum velocity of the bed at the pump, especially when the relationship between geometric parameters, operating parameters and minimum speed is complex and difficult to define.
Complete description of the magnetic ground state in spinel vanadates

We explore a source-free local spin density approximation (LSDA)$+U$ functional within density functional theory for its capabilities in describing noncollinear spin textures; capturing the noncollinear magnetic ground state of the spinel vanadates $A{\mathrm{V}}_{2}{\mathrm{O}}_{4}$ ($A=\text{Mn}$, Fe, and Co) remains an outstanding challenge for state-of-the-art ab initio methods. We demonstrate that both the noncollinear spin texture, as well as the magnitude of local moments, are captured, provided the source term (i.e., magnetic monopole term) is removed from the exchange-correlation magnetic field ${\mathbf{B}}_{\text{XC}}$. This suggests that for treatment of strongly correlated magnetic materials within the $\mathrm{LSDA}+U$ method the subtraction of the unphysical magnetic monopole term from the ${\mathbf{B}}_{\text{XC}}$ is essential.
Running head: PREDICTING HEALTHY EATING BEHAVIOURS 1 Predicting What Mothers Feed Their Preschoolers: Guided by an Extended Theory of Planned Behaviour

Background: Healthy eating behaviours are important for physical and mental well-being and developing healthy eating behaviours early in life is important. As parents are the main providers of preschool children’s food the main objective of this study was to use the theory of planned behaviour, expanded to include habit and past behaviour, to predict parents’ healthy feeding intention and behaviour. Methods: Theory of planned behaviour, habit strength, and past behaviour were reported at baseline by 443 mothers. One week later, 235 mothers completed a healthy feeding questionnaire on the eating behaviours of their 2 to 4 year old child. Data were analysed using hierarchical regression analyses to predict parent’s general healthy feeding behaviour, and five sub-behaviours: parents’ perceptions of their child’s fruit and vegetable consumption, healthy and unhealthy snacking behaviour, as well as healthy and unhealthy drinking behaviour. Results: Intention, perceived behavioural control, habit strength and past behaviour were all positively associated with parents’ general healthy feeding (47% explained variance). Perceived behavioural control was the only variable positively associated with mothers’ perception of their child’s fruit and vegetable consumption and unhealthy snacking behaviour. The theory did not explain the other behaviours. Moreover, habit strength only strengthened the intentionbehaviour link for fruit and vegetable consumption and child’s age was only positively associated with the mothers’ perception of their child’s unhealthy snacking behaviour. Discussion: The findings suggest important differences in the predictors of different feeding behaviours that can provide direction for future intervention development.
Oricultural farming practice: a novel approach to agricultural productivity

Agricultural production through known farming practices relies on artificial fertilizers. Increasing frequency of pest outbreaks and pesticide hazards together with great dependence on artificial fertilizers became a tremendous problem for people and the environment. In this context, it is timely to adopt safe organic farming practices by using oribatid mites, an approach referred to as ‘oricultural farming practice’. Oribatid mites play several vital roles in soil ecosystems, of which biodegradation and subsequent soil enrichment deserve special mention. The present study revealed that several species of oribatid mites are instrumental in biodegradation because they consume large amounts of plant materials and digest them with enzymes (such as cellulose and cellobiase) produced by microbial colonies in mite guts. Large quantities of organically rich faecal pellets laid by the mites increase soil fertility, plant growth and productivity. Okra plants (Abelmoschus esculentus (L.) Moench, 1794) cultivated by using oriculture farming practice were significantly taller, had flowers earlier, and their pods were larger in comparison with the control plants. This clearly warrants wide usage of oricultural farming practice to increase crop productivity.
Fluxes of CO 2 above a sugarcane plantation in Brazil 1 2 3

NOTICE: this is the author’s version of a work that was accepted for publication in Agricultural and Forest Meteorology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Agricultural and Forest Meteorology (2013), 182-183. 54-66. 10.1016/j.agrformet. 2013.08. 004
FOLLOW-UP AFTER PERCUTANEOUS MITRAL COMMISSUROTOMY

(PTMC). PTMC resulted in an increase in mitral valve area from 1.1•}0.3 to 1.7•}0.4cm2 (p<0.0001), a decrease in mean left atrial pressure from 16•}7 to 13•}5mmHg (p<0.0001), and an increase in exercise time from 4.6•}2.1 to 6.3•}2.3min (p<0.0001). At 6 months follow-up, mitral valve area was unchanged (1.7•}0.4cm2). Of 52 patients, 33 showed clinical improvement and 19 had no clinical improvement after PTMC. Univariate analysis showed (1) younger age, (2) echocardio-
Reductive Roasting Process for the Recovery of Iron Oxides from Bauxite Residue through Rotary Kiln Furnace and Magnetic Separation

Bauxite residue (BR), the main by-product formed during the Bayer process for alumina production, is a secondary raw material source, containing usually iron (Fe), titanium (Ti), aluminium (Al) and in some cases rare earth elements (REEs) including Sc. This work addresses the high temperature carbothermic conversion of hematite and goethite in the BR to magnetic iron phases. The reductive process developed in a laboratory scale static tube furnace, was scaled up using a rotary kiln furnace. Experiments were carried out by mixing BR with a carbon source (C/BR=0.225) and an additive (Na2CO3/BR=0.25), at 1000 °C in the presence of N2. The results show that hematite is almost fully (> 99 wt.%) converted to magnetic iron phases after 1 hour. Subsequently, this work was focused on the magnetic separation process through a wet high-intensity magnetic separator. Two current intensities (0.01 and 0.5 A) were employed to collect three fractions (Magnetic I, Magnetic II and Non Magnetic), 70 % of the total Fe content was concentrated in the first magnetic fraction, producing a secondary iron concentrate while the non-magnetic fraction is enriched in Ti and REEs.
Barriers and Supports in Empowering Parents Care for Children with Cancer

Cancer that occurs in children does not only affect children, but also parents. Parents experience anxiety, stress, fear of losing their children, and helplessness in caring for their children, so that parents are less than optimal in caring for their children. Parent empowerment can increase parents’ knowledge, confidence, and ability to care for their children. Previous research found several obstacles to parent empowerment carried out by nurses so that parent empowerment was not optimal in its implementation. Knowing barriers and supports in implementation of parent empowerment in caring for children with cancer can support implementation of parent empowerment to be more optimal. The purpose of this study was to explore barriers and supports in parent empowerment in caring for children with cancer based on the nurse’s perception. The design of this study was qualitative research design with a phenomenological approach. The data was collected by indepth interview method using semi-structured interview guidelines on six nurses who were selected by purposive sampling technique. The data analysis was carried out by thematic analysis with the analysis stage according to Colaizzi. The results of this study were resulted in four themes, namely parental attitudes, parental characteristics, attitudes of nurses, availability of nurses and facilities. This study concluded that implementation of empowering parents to care for children with cancer became more optimal by knowing the barrier and supports in empowering parents care for children with cancer and nurses could make more effective planning in caring for children with cancer.