Miracle-dz/UniFAR-FTUs huggingface dataset:
Wavelet fast Fourier transform analysis of a millivolt signal for a transient oscillating chemical reaction

A procedure is described for the WFFT (wavelet fast Fourier transform) analysis of a real millivolt signal that has been collected with a moderately fast data acquisition system, 40 million samples per second (msps). The output signal is noisy, and the frequency components are resolved by using a wavelet analysis followed by an FFT of selected parts of the wavelet output. After processing, the signal is then reconstructed (from selected components) resulting in a waveform that is almost identical to the original but with reduced noise, thus simulating signal averaging
Reliability of the measurement method in determining the mass concentration of hardwood dust

The reliability of the measurement method in determining the mass concentration of wood dust relates to the sampling time for the detection of wood particles in the ambient air of woodworking places. The aim of this study was to calculate the mass limit of detection (LOD), limit of quantification (LOQ), and the minimal sampling time (tLOD and tLOQ) for determination and quantification of samples, based on the hardwood dust mass concentration at various woodworking places in the sawmills, floor production factories, and carpentries. Determination of the mass concentration of respirable, inhalable, and total hardwood dust from ambient air was performed using personal sampling pumps and three types of filter holders: respirable dust cyclone, Institute of Occupational Medicine IOM inhalable dust sampler, and total dust open-faced filter holder. The average limit of detection amounts to 0.052, 0.083, and 0.167 mg for respirable, inhalable, and total hardwood dust, respectively. The minimal detection sampling time for collecting all observed types of dust fractions ranged between 1.12 h and 1.72 h. The minimal quantification time for all collected hardwood dust samples ranged from 3.75 h to 5.51 h. Pearson's correlation test showed that the reliability of the measurements was affected more by the dustiness of the workspace than the real sampling time.
Early Childhood Antecedents of Dehumanization Perpetration in Adult Romantic Relationships

Data from the Minnesota Longitudinal Study of Risk and Adaptation (MLSRA) were utilized to provide the first investigation into the early childhood antecedents of dehumanization (i.e., treating another as less than human) in adult romantic relationships. Drawing on a sample of 109 MLSRA participants, multiple assessments of maternal care and empathy were collected during infancy and early childhood. In adulthood, MLSRA participants and their romantic partners engaged in video recorded conflict discussions in which dehumanization perpetration was coded. Maternal hostility was a significant and unique predictor of dehumanization perpetration. This longitudinal association remained even when controlling for the partner’s displays of dehumanization and several demographic covariates. This study provides the first evidence of early childhood antecedents of dehumanization and highlights how experiences during the first few years of life can have enduring downstream consequences for people’s romantic relationships 20–30 years later.
Valuation of the Environmental Effects of Socially Responsible Investments in Europe

This paper evaluated the environmental effects of socially responsible investments (SRIs) in European countries and analyzed the differentiation between them in terms of SRIs and selected features in the environmental dimension. The first section of the paper discusses contemporary trends in Europe and in certain European countries, whilst the second compares SR environmental investments and environmental factors in selected European countries from a multidimensional perspective. The aim of the study was to identify and evaluate these trends as well as to find similarities and differences between European countries, and subsequently to indicate groups of countries with similar approaches to pro-ecological investments. In order to solve the problem, descriptive and multidimensional statistical methods were used, namely correspondence analysis (CA). Although the research results clearly revealed upward tendencies in the volume of SR environmental investments in the analyzed period, they nonetheless represent a relatively low share in the total number of socially responsible investments. The overall growth in SRIs in Europe may have resulted from the more intense activities of policymakers in some countries as a consequence of concluding agreements reached during the 21st Conference of the Parties (COP21) in 2015. The results of the study also revealed no significant correlations between SR environmental investments and environmental variables among the European countries analyzed; hence, there is no substantial evidence that investors’ assets contribute to the improvement of the environment.
Long Term Soil Gas Monitoring as Tool to Understand Soil Processes

Soils provide many functions as they represent a habitat for flora and fauna, supply water, nutrient, and anchorage for plant growth and more. They can also be considered as large bioreactors in which many processes occur that involve the consumption and production of different gas species. Soils can be a source and sink for greenhouse gases. During the last decades this topic attracted special attention. Most studies on soil-atmosphere gas fluxes used chamber methods or micro-meteorological methods. Soil gas fluxes can also be calculated from vertical soil gas profiles which can provide additional insights into the underlying processes. We present a design for sampling and measuring soil gas concentration profiles that was developed to facilitate long term monitoring. Long term monitoring requires minimization of the impact of repeated measurements on the plot and also minimization of the routine workload while the quality of the measurement needs to be maintained continuously high. We used permanently installed gas wells that allowed passive gas sampling at different depths. Soil gas monitoring set ups were installed on 13 plots at 6 forest sites in South West Germany between 1998 and 2010. Until now, soil gas was sampled monthly and analysed for CO2, N2O, CH4, O2, N2, Ar, and C2H4 using gas chromatography. We present typical time series and profiles of soil gas concentrations and fluxes of a selected site as an example. We discuss the effect of different calculation approaches and conclude that flux estimates of O2, CO2 and CH4 can be considered as highly reliable, whereas N2O flux estimates include a higher uncertainty. We point out the potential of the data and suggest ideas for future research questions for which soil gas monitoring would provide the ideal data basis. Combining and linking the soil gas data with additional environmental data promises new insights and understanding of soil processes.
A reference dataset for the Neogene lithostratigraphy in Flanders, Belgium

1. Introduction The Neogene state-of-the-art compilation by the Subcommission for Neogene and Paleogene Lithostratigraphy of Belgium, formed an excellent opportunity to collect the data points to which the individual publications refer and to identify these data in the federal and regional databases. Two main data holders provide structured information concerning boreholes and outcrops of the geological subsurface of the northern region of Belgium, where Neogene deposits underlie the Quaternary sediments: (1) the regional Flanders Soil and Subsoil Database (Databank Ondergrond Vlaanderen or DOV), and (2) the federal Geological Survey of Belgium of the Royal Belgian Institute of Natural Sciences (GSB-RBINS). DOV (https://www.dov.vlaanderen.be; 2020) is the public web portal for open data concerning geology, natural resources, soil, hydrogeology, geotechnical characteristics and groundwater licenses of the (sub)soil of Flanders. The Flemish Planning Bureau for the Environment and Spatial Development (VPO) of the Department of Environment & Spatial Development is responsible for the durable management and use of the subsurface, including the natural resources and the deep subsurface (-500 m TAW) (Departement Omgeving, 2020). VPO is also responsible for the geological data and information available on the DOV-platform. In addition, VPO manages the soil data in cooperation with all relevant stakeholders in that domain and coordinates the development of DOV. The GSB-RBINS manages a
Epigenetic Trajectories of the Premalignant-to-Malignant Transition of Chronic Lymphocytic Leukemia.

Kretzmer and colleagues show that the transition to altered methylome occurs very early in chronic lymphocytic leukemia, and once acquired, it is a clonal and extremely stable change. However, the precise time point when the leukemic clone starts deviating significantly from the normal B-cell differentiation trajectory is still elusive.See related article by Kretzmer et al., p. 54.
Stock price forecast of macro-economic factor using recurrent neural network

The stock market is one of the investment choices that always have traction from time to time. Aside from being a means of corporate funding, investing in the stock market can benefit investors. Investing also has a higher risk because the pattern of stock prices is volatile, which is caused by internal and external factors. One external factor that affects stock prices is the macro-economic, where these factors are events that occur in a country where one of the economic sectors affected is stock prices. Investors often feel confused about the right time in decisions making related to buying or selling stock. One way to look at how the prospect of stock prices is a stock price forecasting activity. For this study, we will be making use of the recurrent neural network (RNN) to forecast stock prices for the next periods. This research involves two variables: the closing stock price and the rupiah exchange rate against the dollar for the daily period. We achieve a MAPE value of 1.546% for RNN model without the variable foreign exchange rate and 1.558% for the RNN model that uses the foreign exchange rate against the dollar.
Diffuse and constricted glow discharges in SF6

SF6 glow discharges have been investigated for currents up to 20 mA, in the pressure range 0.1 to 10 Torr. As the pressure is increased, the discharge changes from an abnormal glow with a diffuse positive column to a normal glow with a constricted, positive column. The diffuse discharges have positive voltage-current characteristics, while the characteristics of the constricted discharges are negative. From measurements of axial potential distribution and radial profiles of gas temperature in the positive column, radial profiles of E/N (electric field/gas number density) were determined. E/N falls off from the axis to the wall, and the profiles show that the radial limit of the positive column for both diffuse and constricted discharges corresponds closely to the position where E/N=(E/N)c, the value (362 Td) where the rates of ionisation and attachment in SF6 are the same. The E/N measurements have been used, together with established electron and ion transport data for SF6 and a set of continuity equations for the electrons and ions, to determine radial density profiles for electrons, positive ions and negative ions in several SF6 diffuse and constricted positive columns.
A formally verified authentication protocol in secure framework for mobile healthcare during COVID-19-like pandemic

Existing schemes in the realm of mobile healthcare (also, e-Healthcare) based on cloud and IoMT (Internet of Medical Things) do not ensure end-to-end security and are not compliant with HIPAA (Health Insurance Portability and Accountability Act). It is also very difficult often for these schemes to obtain evidence from the cloud in case of security breaches. In addition to these issues, mobile healthcare applications are prone to various types of attacks and formal proof is often unavailable. In this work, we propose our community cloud framework in an IoMT setting that ensures end-to-end security and circumvents many of the existing negative aspects using the Trusted Platform Module (TPM). We provide necessary proofs using BAN logic and Scyther tool. Also, we show that the energy consumption and the costs of communication and computation for our proposed protocol are far less than that of the existing protocols. We have implemented our protocol using Kotlin language in Android Studio ensuring all the required security properties.
Metamaterial based Flexible Coplanar Antenna Design and Simulation for Human Body Applications

This study presents a metamaterial based flexible coplanar antenna designed to operate close to the human model in the 2.45 GHz operation frequency band. Firstly, the reflection values and radiation pattern of the suggested antenna were analyzed. After obtaining good results, electromagnetic band gap (EBG) structure that is a kind of metamaterials was designed. Secondly, the EBG and the antenna was combined to form an integrated structure. At the same time, a human model was designed for the integrated structure. Conductive textile fabrics such as pure copper polyester taffeta fabric and felt were used for coplanar antenna and EBG design, respectively. Finally, the specific absorption rate (SAR) values of the coplanar wearable antenna and the integrated model were separately computed. As a result, the proposed EBG structure effectively reduced the SAR value of the integrated model. It was seen that the SAR value of integrated model was suitable with the standard threshold. The originality of the work lies in the use of wearable textile materials and making calculation by applying bend to the proposed structure. In addition, the sharp drop in SAR value from 31.8 to 0.0344 W/kg is remarkable when compared to many studies in the literature. The proposed integrated design has potentials to be applied to many research areas such as the military systems, health applications, and e-textile technologies.
Interspeaker code-switching use in school-aged bilinguals and its relation with affective factors and language proficiency

Abstract Bilingual children may choose to reply to utterances in one language with another language. This behavior, which we call interspeaker code-switching, reportedly varies in frequency across children yet the sources of such variation are not well understood. While its use has been linked to variation in proficiency both concurrently and longitudinally, quantitative analyses of this relationship are limited. Here we measure frequency of interspeaker code-switching in a new population, French–English bilinguals in France (ages 5–8), using parental report and relate it to children’s self-reported language attitudes and perceptions of dominance, English receptive and expressive vocabulary, and sentence repetition ability. These children use interspeaker code-switching infrequently and nearly exclusively in the direction of French. Use is predicted by children’s expressive lexical and grammatical proficiency but not their attitudes toward English and French and exhibits only a marginally significant relationship with self-reported dominance. It shows a closer relationship with proficiency than other more well studied experience variables such as current exposure and output, especially for children with lesser English use. These results support a strong link between interspeaker code-switching and proficiency but not for children’s attitudes in a context where they are generally favorable.
Optical study of the ferroelastic phase transition in CsLiSO4

Abstract The piezooptic behaviour of CsLiSO4 corresponds to the phenomenological model of a pseudoproper ferroelastic transition in a wide temperature region of the paraelastic phase but is violated in the vicinity of the phase transition. Log-log analysis of spontaneous values of birefringence, optical indicatrix rotation and shear strain indicates that the transition is very near (0.2°) the tricritical point.
Economic Effect of Dust Particles on Photovoltaic Plant Production

The performance of photovoltaic panels decreases depending on the different factors to which they are subjected daily. One of the phenomena that most affects their energy production is dust deposition. This is particularly acute in desert climates, where the level of solar radiation is extreme. In this work, the effect of dust soiling is examined on the electricity generation of an experimental photovoltaic pilot plant, installed at the Solar Energy Research Center (CIESOL) at the University of Almería. An average reduction of 5% of the power of a photovoltaic plant due to dust contamination has been obtained, this data being used to simulate the economic effect in plants of 9 kWp and 1 and 50 MWp. The economic losses have been calculated, and are capable of being higher than 150,000 €/year in industrial plants of 50 MWp. A cleaning strategy has also been presented, which represents a substantial economic outlay over the years of plant operation.
Significant learning and public administration education: The impact of short-term courses

This paper considers online courses in human resources, public budgeting, and public procurement, within a public administration program, developed and taught during one calendar year at a public regional university in the southeastern United States. Each course had an underpinning of required reading, but also included individual and collaborative role-playing and simulation activities. The effect of shorter term online classes on the potential for significant learning, in public administration programs or otherwise, has not been fully explored. The research question is: What impact do short-term classes have on the potential for significant learning? A survey of students was conducted, and the resulting corpus was analyzed, using a two-cycle coding strategy. It is concluded that short-term classes may limit the ability of students to fully gain knowledge transfer and applied skill. There are specific concerns raised by study participants about work expectations that are voluminous, even given the accelerated nature of programs, and how this might undermine the potential for quality learning outcomes. At minimum, short-term courses raise significant potential learning-related issues, and show gaps between the expectations of a knowledge-transfer-centered program and the added value of significant learning opportunities.
Does bilingualism correlate with or predict higher proficiency in L3 English? A contrastive study of monolingual and bilingual learners

This study investigates whether English in instructed settings is more successfully acquired by learners who are already bilingual in comparison to those with a monolingual background. There remains substantial controversy regarding potential advantages of bilingual speakers in their acquisition of additional languages, especially in heritage speaker contexts. We here contribute to this discussion by analysing the English C-test results of 1,718 bilingual and monolingual students of grades 7 and 9, sampled in schools across Germany. The bilingual students speak either Russian or Turkish (heritage language) and German (majority language). The monolingual control group was raised in German only. The main predictor variables are reading fluency and comprehension in German and the heritage languages. Additional predictor variables include school type, school year, socioeconomic status, cognitive ability, amongst others. Using correlation and regression analyses we test if reading fluency and comprehension impact proficiency in English and if bilingual students enjoy advantages over their monolingual German peers. The results reveal no systematic advantage of bilingual students, although we find significant correlations between reading fluency and comprehension and C-test results. School type, cognitive skills, among others, are predictors for English performance, whereas socioeconomic status returns no significant effect.
Removal of Phenol and Monochlorophenols Pollution from Aqueous Solutions with HDTMA-Modified Halloysite

ABSTRACT Dynamic and equilibrium research on the adsorption of phenol and monochlorophenols (2-chlorophenol, 3-chlorophenol, 4-chlorophenol) on modified halloysite with the use of HDTMA (hexadecyltrimethylammonium) bromide was conducted at three temperatures: 293, 303, and 313 K. The interpretation of experimental data was based on the Temkin, the Dubinin-Radushkevich, the Freundlich, and the Langmuir equations to establish the appropriate adsorption models and to define the characteristic parameters describing the process. We determined that the Freundlich isotherm perfectly described experimental data as regards the adsorption equation concerning phenol; however, 2-chlorophenol, 3-chlorophenol, and 4-chlorophenol sorption took place in compliance with the Langmuir model. The adsorption of the studied compounds on the HDTMA-modified halloysite increased in the following order: phenol <4-chlorophenol <2-chlorophenol <3-chlorophenol. Thermodynamic parameters of the processes indicated the physical as well as exothermal adsorption character. The adsorption kinetics of phenol and monochlorophenols was discussed based on the following models: pseudo-first-order, pseudo-second-order, Elovich, intraparticle diffusion, and film-diffusion model. The rate of the sorption process was described with the pseudo-second-order model. The global electrophilicity indices of phenol and the monochlorophenols were applied to demonstrate the difference through the interaction of these adsorbates with a molecule of surfactant (HDTMA) and, as a result, the different properties of the studied compounds.
Socially responsible HRM and Environmental Performance of Banking Organization in Bangladesh: Mediating Effect of Green Innovation

The current study tries examining the effect of socially responsible human resource management (SR-HRM) practices on environmental performance in banking industry of Bangladesh with mediating effect by green innovation. This study has tested the hypotheses upon 365 line-managers and has found positive effect of SR-HRM upon both environmental performance and green innovation. In the current research, green innovation also showed positive impact upon environmental performance. Additionally, Green Innovation significantly mediates the linkage between SR-HRM and environmental performance. This research recommends the future researchers to think of mediating effects by other responses of employees in the linkage between SR-HRM and environmental performance.