Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Model of Consolation

This article presents a new model of consolation that identifies five key themes: (1) an appeal to the inner strength of the consoland; (2) the regulation of emotion; (3) the attempt to preserve, re-write, and perfect the life of the deceased or, more generally, a person undergoing a radical psycho-social transition; (4) a ‘healing’ worldview, in which death has a legitimate place; and (5) reconnection with the community at the different levels of, for instance, family, society and humanity. The study is based on the Western tradition of written consolations. It partially confirms—and also supersedes—earlier studies of consolation based on different methods and smaller ranges of material. The article explores the applicability of the framework beyond the consolatory tradition by analyzing two versions of the Roman Catholic rite of anointing the sick. It argues for the heuristic usefulness of the model in the field of ritual studies, both by demonstrating the limitations of prevalent typologies of ritual and by suggesting a fresh look at ritual efficacy.
In situ process evaluation during hydrogen plasma etching of a-Si:H films by microwave detected transient photoconductivity measurements

During removal of amorphous silicon films deposited on crystalline silicon substrates by dry etching in a hydrogen plasma the kinetics of mobile excess charge carriers have been followed by measuring the change of the microwave reflection after laser pulse illumination. Following the amplitude of the measured transient signals the thickness of the remaining amorphous silicon film can be determined and the decay in the nanosecond time range yields information about the defect density of the substrate surface. The impact of the plasma process on the surface recombination is shown and a criterion for endpoint detection is given in the case of a‐Si:H removal from crystalline silicon covered with a SiO2 layer.
Role ambiguity in academics: an organizational problematic in universities

The objective of this study was to identify the presence of role ambiguity in academics, who divide their working hours between teaching and researching, of five areas of knowledge in a university in Mexico This is a study with a quantitative approach, a non-exploratory, transactional, descriptive, and correlational design. The reliability of the instrument used was of 0.93 in Cronbach’s Alpha Coefficient. The results identified that 80.3% of the sample perceives role ambiguity more strongly on the dimensions of `Job demands´ and `Norms´. Subsequently, the analysis of variance (ANOVA) showed a significant difference in the perception of role ambiguity on the dimension of `norms´ and the areas of knowledge. Therefore, it is concluded that it is necessary for universities to draw attention to establishing precision and clarity on the normativity related to teaching and researching activities, as well as providing the adequate information regarding the institution’s expectations on job performance.
Deep Oxidative Desulfurization of Dibenzothiophene in Simulated Diesel with Tungstate and H2O2 in Ionic Liquids

Abstract A green extraction and catalytic oxidative desulfurization (ECODS) system composed of simple tungsten-containing catalyst, 30 wt% H2O2, and ionic liquids was discovered suitable for the deep removal of dibenzothiophene (DBT) in simulated diesel. In the case of the system comprising Na2WO4 · 2H2O, 30 wt% H2O2 and 1-butyl-3-methylimidazolium tetrafluoroborate ([Bmim]BF4), the removal of DBT could reach 99.7% at 60°C for 3 hr, which was superior to mere solvent extraction with ionic liquid or catalytic oxidation without ionic liquid. This desulfurization system could be recycled five times with a small decrease in activity.
Weighted-density-functional approach to the structure of nonuniform fluids

The structure of simple nonuniform fluids is studied using a new weighted-density-functional approach based on the concept of universality of the free energy density functional and an assumption of a local dependence of its functional derivative on the weighted density. The theory uses as input the second-order direct correlation function and the radial distribution function of the corresponding uniform fluid which are obtained here from the integral equation theory with an accurate closure relation. The calculated numerical results on the density profiles of several confined inhomogeneous fluids are shown to compare quite well with the available simulation data.
Socio-Cultural Adaptation Of Students In A Foreign Language Environment: Factor Analysis

The research is devoted to the problem of socio-cultural adaptation of foreign students. The main purpose of the work was to identify and test experimentally the concept of the most probable, significant combination of factors affecting the process of adaptation in a foreign language environment. The article presents a rather complete analysis of the currently available works on the subject under study. The experimental part includes a description of the research tools and method. The analysis of data from the survey of a representative sample of foreign students is presented through statistical analysis of data on average values. Correlation and factor analysis were carried out using SPSS 22. The results obtained identified the most and least significant factors that can optimize and intensify the process of socio-cultural adjustment. In particular, indicators of situational and personal anxiety were identified as basic factors with the highest level of correlation with other characteristics. The factor analysis allowed identifying four block factors, each of which was represented by a set of components. The strongest factor included components of situational and personal anxiety, general indicators of culture shock, and components of linguistic anxiety with a negative value. Gender indicators and methodological aspects of foreign language learning showed minimal importance. 2357-1330 © 2020 Published by European Publisher.
Numbers, neighbors, and hungry predators: What makes chemically defended aposematic prey susceptible to predation?

Abstract Many chemically defended aposematic species are characterized by relatively low toxin levels, which enables predators to include them in their diets under certain circumstances. Knowledge of the conditions governing the survival of such prey animals—especially in the context of the co‐occurrence of similar but undefended prey, which may result in mimicry‐like interactions—is crucial for understanding the initial evolution of aposematism. In a one‐month outdoor experiment using fish (the common carp Cyprinus carpio) as predators, we examined the survival of moderately defended aposematic tadpole prey (the European common toad Bufo bufo) with varying absolute densities in single‐species prey systems or varying relative densities in two‐species prey systems containing morphologically similar but undefended prey (the European common frog Rana temporaria). The density effects were investigated in conjunction with the hunger levels of the predator, which were manipulated by means of the addition of alternative (nontadpole) food. The survival of the B. bufo tadpoles was promoted by increasing their absolute density in the single‐species prey systems, increasing their relative density in the two‐species prey systems, and providing ample alternative food for the predator. Hungry predators eliminated all R. temporaria individuals regardless of their proportion in the prey community; in treatments with ample alternative food, high relative B. bufo density supported R. temporaria survival. The results demonstrated that moderately defended prey did benefit from high population densities (both absolute and relative), even under long‐term predation pressure. However, the physiological state of the predator was a crucial factor in the survival of moderately defended prey. While the availability of alternative prey in general should promote the spread and maintenance of aposematism, the results indicated that the resemblance between the co‐occurring defended and undefended prey may impose mortality costs on the defended model species, even in the absence of actual mimicry.
Effect of Solvent Evaporation Time of Polysulfone Incorporated Copper Oxide Nanoparticles Incorporated Polysulfone Ultrafiltration Membrane on Protein Removal

Polysulfone (PSf) membranes are becoming more popular in wastewater treatment recently, mostly due to its stability in chemical, thermal and mechanical properties. PSf membranes are hydrophobic, causing difficulty of water permeation. Incorporating metal oxide nanoparticles improving the membrane hydrophilicity, thus increasing membrane permeation and rejection. In this study, copper oxide nanoparticle (CuO NPs) incorporated PSf membranes were fabricated under different evaporation times of 3s, 6s, 8s, and 9s to investigate on membrane morphology and performance. The membrane morphologies were characterized by using scanning electron microscope (SEM) while the membrane performance was determined through pure water flux (PWF) and bovine serum albumin (BSA) rejection. When characterized by SEM, all membranes showed an asymmetric structure with thin and dense at the top while the bottom layer was thick and porous. It was discovered that as the evaporation time increased, the formation of the finger-like structure became narrower while dense layer became thicker. When tested with PWF, membranes with higher evaporation times showed less permeability, decreasing from 139.74 Lm -2 h -1 to 89.89 Lm -2 h -1 . In terms of BSA rejection, increased in evaporation time caused the rejection rate to increase from 87.79% to 92.15%. This study proved that evaporation time is one of important parameters that influences the membrane performance significantly.
Technological capabilities, open innovation and perceived operational performance in SMEs: the moderating role of environmental dynamism

Purpose In the current dynamic environment, technological capabilities and open innovation play vital roles in operational performance of small and medium enterprises (SMEs). Thus, the purpose of this paper is to explore the influence of technological capabilities on open innovation and consequent impact on perceived operational performance of the SMEs in Malaysia by considering the moderating effect of environmental dynamism. Design/methodology/approach This study is quantitative in nature and used a survey questionnaire to gather responses from 202 SME owners in Malaysia. The data were analyzed with SmartPLS software, as it used structural equation modeling. Findings The results show that technological capabilities significantly influence open innovation whereas open innovation plays an instrumental role to achieve operational performance of the SMEs. Interestingly, environmental dynamism was found to have a negative moderating role in the relationship between open innovation and perceived operational performance. Practical implications This paper will assist SME managers in making effective decisions while using technological capabilities and open innovation practices. Managers need to be aware of the vital role of technological capabilities to build external and internal collaboration and incorporate their knowledge that is necessary for open innovation practices. The results also assist managers in a way that in the dynamic and competitive environment SMEs should take further proactive actions to compete in the market to survive. Originality/value This study provides new insights by dismantling technological capabilities and open innovation to understand further the effects of technological capabilities on open innovation and its consequence on a firm’s operational performance.
Prediction of Evaluation Result of E-learning Success Based on Student Activity Logs With Selection of Neural Network Attributes Base on PSO

Evaluation of learning systems based on e-learning is very important to determine learning success. The purpose of this study is to obtain predictive results from evaluating students who follow e-learning based learning systems. The data used is the result of logs of student learning activities taken from the LMS. The data used in this study were 641 user logs of student activity. In predicting the evaluation results based on the learning system on e-learning we use a neural network method based on swarm particle optimization. Neural Network has a problem in optimizing very large data so using swarm particle optimization can solve this problem. From the data testing we have done, the results obtained by the Neural Network method get an accuracy value of 95.47%, and the results of the AUC value of 97.90%. The observation of variables C, ∊ and population of Neural Network and particle swarm optimization use the K-Fold Cross Validation method. Then the researchers tested several choices on the attributes used. By using the Neural Network method based on the swarm particle optimization attribute, there are 9 predictor variables so that as many as 6 attributes are used, namely sports, chat, discussion, messages, Quiz exercises and total logs. The results show an accuracy rate higher than 97.50%, and an AUC value of 98.20%. So the accuracy value increased by 2.03% and the AUC increased by 0.3%. With accuracy and AUC values, the Artificial Neural Network algorithm based on particle optimization is very well categorized.
2020 Korean guidelines for the management of metastatic prostate cancer

In 2017, Korean Society of Medical Oncology (KSMO) published the Korean management guideline of metastatic prostate cancer. This paper is the 2nd edition of the Korean management guideline of metastatic prostate cancer. We updated recent many changes of management in metastatic prostate cancer in this 2nd edition guideline. The present guideline consists of the three categories: management of metastatic hormone sensitive prostate cancer; management of metastatic castration resistant prostate cancer; and clinical consideration for treating patients with metastatic prostate cancer. In category 1 and 2, levels of evidence (LEs) have been mentioned according to the general principles of evidence-based medicine. And grades of recommendation (GR) was taken into account the quality of evidence, the balance between desirable and undesirable effects, the values and preferences, and the use of resources and GR were divided into strong recommendations (SR) and weak recommendations (WR). A total of 16 key questions are selected. And we proposed recommendations and described key evidence for each recommendation. The treatment landscape of metastatic prostate cancer is changing very rapid and many trials are ongoing. To verify the results of the future trials is necessary and should be applied to the treatment for metastatic prostate cancer patients in the clinical practice. Especially, many prostate cancer patients are old age, have multiple underlying medical comorbidities, clinicians should be aware of the significance of medical management as well as clinical efficacy of systemic treatment.
Modeling and Forecasting Gender-Based Violence through Machine Learning Techniques

Gender-Based Violence (GBV) is a serious problem that societies and governments must address using all applicable resources. This requires adequate planning in order to optimize both resources and budget, which demands a thorough understanding of the magnitude of the problem, as well as analysis of its past impact in order to infer future incidence. On the other hand, for years, the rise of Machine Learning techniques and Big Data has led different countries to collect information on both GBV and other general social variables that in one way or another can affect violence levels. In this work, in order to forecast GBV, firstly, a database of features related to more than a decade’s worth of GBV is compiled and prepared from official sources available due to Spain’s open access. Then, secondly, a methodology is proposed that involves testing different methods of features selection so that, with each of the subsets generated, four techniques of predictive algorithms are applied and compared. The tests conducted indicate that it is possible to predict the number of GBV complaints presented to a court at a predictive horizon of six months with an accuracy (Root Median Squared Error) of 0.1686 complaints to the courts per 10,000 inhabitants—throughout the whole Spanish territory—with a Multi-Objective Evolutionary Search Strategy for the selection of variables, and with Random Forest as the predictive algorithm. The proposed methodology has also been successfully applied to three specific Spanish territories of different populations (large, medium, and small), pointing to the presented method’s possible use elsewhere in the world.
Surface-initiated atom transfer radical polymerization—a technique to develop biofunctional coatings

The initial formation of initiating sites for atom transfer radical polymerization (ATRP) on various polymer surfaces and numerous inorganic and metallic surfaces is elaborated. The subsequent ATRP grafting of a multitude of monomers from such surfaces to generate thin covalently linked polymer coatings is discussed briefly in order to provide a readily accessible survey. The potential for achieving a range of well-defined biofunctionalities, such as inhibition of non-specific fouling, immobilization of biomolecules, separation of proteins, adsorbents for proteins or cells, antibacterial activity, and encapsulation of drugs in particular provided by these surface-grafted polymers is described.
Evaluation of 1‐arylpiperazine derivative of hydroxybenzamides as 5‐HT1A and 5‐HT7 serotonin receptor ligands: An experimental and molecular modeling approach

The synthesis and evaluation as 5-HT1A and 5-HT7 serotonin receptor ligands of the two sets of O-substituted hydroxybenzamides, structurally related to 2-{3-[4-(2-methoxyphenyl)piperazin-1-yl]propoxy}benzamide (1), (Ki 5-HT1A = 21 nM, 5-HT7 = 234 nM) are reported. To affect the affinity for 5-HT1A and 5-HT7 receptors, an amide moiety (2, 3, 4, 5, 6) and a hydrocarbon chain length (7, 8, 9, 10) were modified. The serotonergic activity of compounds 2, 3, 4, 5, 6, 7, 8, 9, 10 was generally higher in the case of 5-HT1A receptors compared with 5-HT7 ones; the most active 5-HT1A ligands being meta-isomer 2 (Ki = 7 nM) and both analogs of 1 with the longest spacer, i.e., penta- and hexa-methylene derivatives 9 and 10 (Ki = 4 and 3 nM, respectively). The observed biological properties of compounds 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 were elucidated using molecular modeling procedures. J. Heterocyclic Chem., (2010).
GC‐MS Determination of Amphetamines in Human Urine

Abstract An analytical method for the simultaneous determination of amphetamine (AP), methamphetamine (MA), 3,4‐methylenedioxyamphetamine (MDA), 3,4‐methylenedioxy‐methamphetamine (MDMA), and 3,4‐methylenedioxy‐ethamphetamine (MDEA) in urine, using gas chromatography–mass spectrometry (GC–MS), is proposed. The analytes were subjected to liquid–liquid extraction with 4∶1 (v/v) methylene chloride/isopropanol at pH 12, and derivatized with pentafluoropropionic anhydride (PFPA) and ethyl acetate. Calibration curves for the five analytes in methanol and urine were constructed over the range 0.5–5.0 µg·ml−1, using their respective pentadeuterated analogues as internal standards. The average extraction recoveries from the urine were higher than 91% for the five amphetamines. The limits of detection and quantitation achieved were 2.02 and 6.74 ng·ml−1 for AP; 0.56 and 1.88 ng·ml−1 for MA; 2.74 and 9.13 ng·ml−1 for MDA; 2.95 and 9.85 ng·ml−1 for MDMA; and 5.41 and 18.03 ng·ml−1 for MDEA. The accuracy was in the range ±4% and the coefficients of variation were less than 9% for all analytes. The analysis of real urine samples with the proposed method provided 24 positives for amphetamines, with the following average concentrations: 0.56 µg·ml−1 for AP, 6.78 µg·ml−1 for MA, 0.90 µg·ml−1 for MDA, 8.78 µg·ml−1 for MDMA, and 1.13 µg·ml−1 for MDEA.
Neural network classification of aviation personnel as an element of the information and control space for the security of a transport infrastructure object

The following article considers the development of a neural network assessment program for the level of readiness of aviation security personnel to carry out professional activities. The collection and preparation of initial data for training a neural network were carried out, a neural network was studied in the MATLAB system to assess the level of readiness of aviation security personnel to perform professional activities. As a result of the study, it was found out that the neural network provided precision 100%, recall — 97.4%, specificity — 95.9%. The dialogue program for assessing the competencies of aviation security personnel has been developed, based on the neural network parameters obtained in the MATLAB system in C++.
Chemical interdiffusion in binary systems; interface barriers and phase competition

The problem of simultaneous growth and competition of intermediate phases during reactive diffusion is formulated and solved. In this paper, we compare existing models of steady state reaction diffusion and introduce the new one basing on the bi-velocity method. We extend old problem and propose method based on material (lattice) fixed frame of reference. It allows computing the material velocity in the reacting system in which reactions at several moving interfaces occur. All reactions lead to the lattice shift due to the difference of intrinsic diffusivities and different molar volumes. The following peculiarities are taken into account: (1) the deviation from local equilibrium at all interfaces; (2) the mobilities of the components in the bulk and interphase zone; and (3) the molar volumes of the components. We show the kinetic of the reactions, the non parabolic regime, the multiphase scale growth and present the practical application of the method.
Testing the Sensitivity of Terahertz Spectroscopy to Changes in Molecular and Supramolecular Structure: A Study of Structurally Similar Cocrystals

Terahertz time-domain-spectroscopy (THz-TDS) has emerged as a versatile spectroscopic technique, and an alternative to powder X-ray diffraction in the characterization of molecular crystals. We tested the ability of terahertz spectroscopy to distinguish between chiral and racemic hydrogen-bonded cocrystals that are similar in molecular and supramolecular structure. Terahertz spectroscopy readily distinguished between the isostructural cocrystals of theophylline with chiral and racemic forms of malic acid which are almost identical in molecular structure and supramolecular architecture. Similarly, the cocrystals of theophylline with chiral and racemic forms of tartaric acid, which are similar at the molecular level but dissimilar in crystal packing, were distinguished unequivocally. The investigation of the same cocrystals using X-ray powder diffraction and Raman spectroscopy suggested that THz-TDS is comparable in sensitivity to diffraction methods and more sensitive than Raman spectroscopy to changes in .