Miracle-dz/UniFAR-FTUs huggingface dataset:
Antecedents of blatant benevolence on social media

ABSTRACT With the rise of social media in people’s lives, the tendency to donate through social media platforms has increased tremendously. The positive attitudes of social media users towards online charity initiatives, such as ALS Ice Bucket Challenge, are also gaining traction. Therefore, it is of great value for the charitable organizations to identify the motivational factors that encourage social media users to participate in blatant benevolence. Drawing on costly signalling and self-presentation theories, this study undertakes a multi-method approach with the aim to explore social media users’ motivation of posting prosocial behaviour on social media platforms by identifying the antecedents of blatant benevolence. Using the interview data from 126 social media users, the study first applies rigorous grounded theory analysis to identify factors that lead to blatant benevolence, and subsequently employs a survey method approach, comprising data from 342 social media users, to empirically test the factors identified. Our findings show that desire for social network enhancement and warm glow attainment are the significant drivers that motivate people to post prosocial behaviours on social media. Theoretical and practical implications of our findings for social media behaviour researchers and charity organizations are also discussed in the paper.
Comparative evaluation of shear bond strength of a bioactive material to composite resin using three different universal bonding agents: An in vitro study

Background: Calcium silicate-based cements or bioceramics have revolutionized and simplified pulp-capping procedures due to its versatility and accessibility. Aim: This study aimed to assess the shear bond strength (SBS) of a bioceramic material to composite resin at two aging periods and with three universal adhesives. Materials and Methods: Forty-eight samples of Biodentine with a height of 2 mm and internal diameter of 4 mm were prepared. After 12 min of mixing, 24 samples were randomly selected and divided into four subgroups: Group I: Single Bond Universal, Group II: Palfique Universal Bond, Group III: G-Premio BOND, and Group IV: Control. Composite resin was restored over Biodentine after the application of universal adhesives using a cylindrical plastic mold of 2 mm height and 2 mm internal diameter. This process was repeated 24 h after mixing on the remaining 24 samples of Biodentine. The universal testing machine was used to measure the SBS of the fractured specimens, followed by stereomicroscopic evaluation. One-way ANOVA test and Bonferroni post hoc test were used to statistically analyze the data. Results: Highest SBS values were observed in Group III at 12 min and 24 h of the setting of Biodentine. Conclusions: Compared to the 12-min group, SBS was higher at 24 h. Group III exhibited higher bond strength than other subgroups.
The Effect of Team-based Training Through Smartphone Applications on Nursing Students’ Clinical Skills and Problem-Solving Ability

Background: The aim of this study was to determine the effect of a team-based educational program through smartphone applications on Iranian nursing students’ problem-solving ability and clinical skills. Methods: This quasi-experimental study with two groups, including an experimental and a control group, was conducted among 60 nursing students who spent internship period in post CCU and CCU wards for 16 weeks. The control group received routine training, and the students of the experimental group received a team-based program through a smartphone application in addition to routine training. Students involved in the program were invited to complete the clinical skills questionnaire and Heppner's Problem-Solving Inventory at baseline and week four, and week 12 of follow-up. Data were analyzed using SPSS software (Version 22). Results: A significant improvement was found in nursing students’ clinical skills and problem-solving ability at week four and week 12 of follow-up compared with baseline (P < 0.001). However, the mean scores increased more in the experimental group. Conclusions: This study suggests that team-based training through smartphone applications can enhance problem-solving perception and clinical skills in nursing students. It is expected that in the future, team-based training through smartphone applications may be used in the internship training of nursing students continuously.
Creeping Legalism: How External Demands Reshape Student Affairs Practice

Abstract:Using data from twenty-one interviews conducted with student affairs practitioners within a constructivist grounded theory study, we examined how legal issues influence the daily work of student affairs professionals. Findings demonstrate that concerns about legal issues may intrude on student-centered practice, which participants identified as a core value of the student affairs profession. The paper concludes by offering recommendations for navigating the tension between student-centered practice and legal issues.
Credit Card Fraud Prediction Using XGBoost: An Ensemble Learning Approach

With the development of technology, the internet and eCommerce online payment has become an essential mode of payment. Nowadays, credit card payment is a convenient mode of payment online as well as offline transactions. As online credit card payment increases, fraud transactions are likewise increasing day by day. Increasing fraud transactions in the online payment system became a more significant challenge for banks, companies, and researchers. Therefore, it is essential to have an efficient methodology to detect fraud transactions while payment has completed via credit card. Although many traditional approaches are already available for fraud transaction prediction, however, existing methods lack accuracy, and it can be increased by ensemble techniques such as XGBoost. In this paper, we use an ensemble approach that is XGBoost (eXtreme Gradient Boosting) for credit card fraud prediction. The results are compared with existing machine learning approaches.
A Propidium Monoazide (PMAxx)-Droplet Digital PCR (ddPCR) for the Detection of Viable Burkholderia cepacia Complex in Nuclease-Free Water and Antiseptics

Pharmaceutical products contaminated with Burkholderia cepacia complex (BCC) strains constitute a serious health issue for susceptible individuals. New detection methods to distinguish DNA from viable cells are required to ensure pharmaceutical product quality and safety. In this study, we have assessed a droplet digital PCR (ddPCR) with a variant propidium monoazide (PMAxx) for selective detection of live/dead BCC cells in autoclaved nuclease-free water after 365 days, in 0.001% chlorhexidine gluconate (CHX), and in 0.005% benzalkonium chloride (BZK) solutions after 184 days. Using 10 μM PMAxx and 5 min light exposure, a proportion of dead BCC was quantified by ddPCR. The detection limit of culture-based method was 104 CFU/mL, equivalent to 9.7 pg/μL for B. cenocepacia J2315, while that of ddPCR was 9.7 fg/μL. The true positive rate from nuclease-free water and CHX using PMAxx-ddPCR assay was 60.0% and 38.3%, respectively, compared to 85.0% and 74.6% without PMAxx (p < 0.05), respectively. However, in BZK-treated cells, no difference in the detection rate was observed between the ddPCR assay on samples treated with PMAxx (67.1%) and without PMAxx (63.3%). This study shows that the PMAxx-ddPCR assay provides a better tool for selective detection of live BCC cells in non-sterile pharmaceutical products.
High-Performance Materials for Mask-Projection Stereolithography Via In-Situ Sequential Interpenetrating Network

Stereolithography, a common technique used in additive manufacturing, offers high dimensional accuracy. However, there are limited choices of materials for this process. Acrylates and epoxies are commonly used, but their thermal properties are not suitable for applications in which high temperature performance is needed. In contrast, high-performance thermosets such as bismaleimide and cyanate ester are cured using high temperature processing techniques, and their use for stereolithography is limited. In this work, a photocurable formulation of bismaleimide, a reactive diluent, and cyanate ester was developed to improve thermal and mechanical properties as well as cure shrinkage of stereolithography resins. In-situ sequential interpenetrating polymer network (IPN) were investigated wherein the copolymerization reaction between bismaleimide and diluent occurs during printing, resulting in a cyanate ester swollen network with sub room temperature glass transition temperature (T g ). The polymerization of cyanate ester takes place during post processing. The resulting material possesses a T g well above 200 o C (loss modulus peak), significant decrease in cure shrinkage, and improved toughness.
Early Dependability Analysis of FPGA-Based Space Applications Using Formal Verification

SRAM-based FPGAs are increasingly attractive in the aerospace industry for their field programmability and low cost. Unfortunately, they suffer from cosmic radiation induced Single Event Effects (SEEs). In safety-critical applications, the dependability of the design is a prime concern since failures may have catastrophic consequences. Hence, an early analysis of dependability of such safety-critical applications will enable designers to develop systems that meet high dependability requirements, such as the DO-254 standard. In this thesis, we propose a high-level dependability and performability analysis methodology based on probabilistic model checking. Compared to the pen-and-pencil and discrete-event simulation approach, our methodology is more accurate due to the use of an automated formal verification technique. Moreover, compared to fault injection or beam testing, analysis at early design stages can guide designers to build more reliable designs reducing the overall cost and effort. The proposed methodology can perform three different types of analysis: evaluation of available design options, optimization of scrub intervals while satisfying its design assurance level requirements, and optimal partitioning of Triple-Modular Redundant (TMR) Systems. Such analysis can also guide designers to adopt proper mitigation technique(s), such as rescheduling, TMR, TMR with less frequent scrubs, or even can help to decide the number of TMR partitions for a given scrub intervals. Starting from a high-level description of a system, based on the preferred analysis, a Markov model or Markov (reward) model is constructed from the extracted Control Data Flow Graph (CDFG) and the failure/mitigation parameters for the targeted FPGA. Such modeling and exhaustive analysis elaborated using a probabilistic model checking technique can capture all the failures and repairs possible (according to some general model) in the system within the radiation environment. To illustrate the applicability of the proposed approach, we present our quantitative analysis obtained from DSP benchmark circuits.
Vermiculite Mining Waste Enriched with Elemental Sulfur as a Chemical Conditioner for Alkaline Saline Soils

ABSTRACT About 60 to 80% of the material extracted in vermiculite mining consists of unused waste, composed of minerals containing plant nutrients that can chemically improve the soil. The objective was to evaluate the potential of vermiculite mining residue associated with elemental sulfur in the chemical attributes of two alkaline saline soils. Two experiments were carried out in a completely randomized design in a 6 × 2 factorial scheme with four replications. In the first experiment, six doses of vermiculite waste enriched with 5% (50 g kg−1) elemental sulfur (0, 10, 20, 30, 40 and 50 t ha−1), and two alkaline soils (sodic soil and other non-sodic) were tested. In the second experiment, six doses of elemental sulfur (0; 0.25; 0.50; 0.75; 1.0; 1.25 g dm−3) and two soils (sodic soil and other non-sodic) were tested. At 30 and 105 days after soil incubation, the hydrogenionic potential (pH) values, electrical conductivity, concentrations of available sulfate (SO4 −2), phosphorus (P), and exchangeable calcium (Ca2+), potassium (K+) and sodium (Na+) were determined. The vermiculite waste associated with elemental sulfur can be used as an alternative source of K+ and contribute to reduce the pH of the alkaline soil and adding Ca2+ and SO4 −2 to the soil. However, in soils with poor drainage, this compound should be used with caution due to the risk of soil sodification. Elemental sulfur only, reduced the pH and increased the levels of Ca2+ and SO4 −2 in both studied soils and reduced levels of Na+ in sodic soil after 105 days of incubation.
Computation of Self-impedance and Mutual Impedance of Transformer Winding Considering the Frequency-dependent Losses of the Iron Core

Abstract To study electromagnetic transients in transformers, it is necessary to compute the impedance matrix of windings considering the frequency-dependent behavior of the iron core. In this article, a new method based on the application of the surface impedance boundary condition is presented by which the impedances of windings at high frequencies can be computed accurately inside and outside the core window. The idea of using the surface impedance boundary condition stems from the fact that the depth of penetration of leakage flux into the iron core decreases considerably at enough high frequencies (above some kilohertz), motivating the use of this condition for core walls to take the iron core's eddy current losses into account. As a result of this representation, the problem of impedance calculation inside the core window is converted to a Sturm–Liouville eigenvalue problem. The accuracy of the proposed method has been verified by finite-element method simulations. The results of this study make a noteworthy contribution to the calculation of transformer impedance matrix inside the core window through finding a way for considering the effects of eddy currents in the yokes on impedance values, a subject thus far not appropriately addressed in previous studies.
THE MEDIATING EFFECT OF INFORMATION AND COMMUNICATION TECHNOLOGY LEARNING ON THE RELATIONSHIP BETWEEN SOCIAL MEDIA USAGE AND INFORMATION-SEEKING BEHAVIOR OF STUDENTS

This study aimed to determine the mediating effect of information and communication technology learning on the relationship between social media usage and students' behavior from the Bachelor of Science and Technology program at the University of Mindanao. A stratified random sampling method was used, with 300 students serving as respondents. The results of a non-experimental quantitative mediation analysis using a validated questionnaire, mean, regression techniques, and Pearson r revealed a significant relationship between social media usage, behavior, and information and communication technology learning. Results of the study showed that students' level of social media usage was moderate. The study also revealed that students' level of information-seeking behavior was moderate. Further, there was a partial mediation on the effect of information and communication technology learning on the relationship between social media usage and information-seeking behavior. As a result, one of the reasons why social media usage can influence information-seeking behavior is information and communication technology learning. Nevertheless, it cannot wholly account for the relationship between the two variables. Article visualizations:
The relationship between ERP systems success and internal control procedures : a Saudi Arabian study

In recent years, Internal Control has become the focus of attention every time there is a notable scandal in the corporate world. An effective internal control system can prevent an organisation from fraud and errors, and provide an organisation with assurance and competitive advantages. It is argued that in order to have a robust internal control system, an integrated system, such as an Enterprise Resource Planning (ERP) system is needed. ERP systems have the ability to control user access and facilitate the separation of duties, which is one of the most common internal control mechanisms used in order to deter fraud within financial systems. Moreover, there are other factors that can provide support for effective internal control systems. This thesis aims to explain how ERP success, organisational and ERP factors affect the effectiveness of internal control procedures. In particular, this thesis develops and validates a research model with empirical evidence collected in the context of the Saudi Arabia business environment. In order to achieve the research aim, this research identifies four key propositions derived from the existing literature to establish the relationships between organisational factors, ERP factors, ERP success and effectiveness of internal control procedures. An exploratory study is used to initially test the four propositions. The findings indicate that different companies follow different requirements that mainly depend on ownership. Additionally, the study indicates that the eight components of the Committee of Sponsoring Organizations of the Treadway Commission’s (COSO) Enterprise Risk Management framework are considered by the companies investigated, however there are variations regarding their level of consideration. The findings suggest that further study is needed to explain the impact of ERP success on internal control and to measure the effect of the organisational and ERP factors. Based on the four propositions, four hypotheses are developed and tested in a quantitative study. A questionnaire is constructed and sent to 217 Saudi ERP-
Influence of heat flux different between wide and narrow face in continuous casting mould on unevenness of hypo-peritectic steel solidification at off-corner

The effects of the difference of the heat flux between the wide face and narrow face of the mould, the mould taper, casting speed and cooling rate on unevenness of hypo-peritectic steel at the off-corner in the mould, which leads to longitudinal cracking, bleeding and breakout during continuous casting, were evaluated by a finite element model (FEM) simulation and a plant test with a commercial continuous caster. The simulation results show that an increase in the difference in the heat flux between the wide and narrow face increases the off-corner unevenness of solidification because the solidified shell on the low heat flux side is pulled toward the high heat flux side. The analysis results were in good agreement with the plant test results. These results revealed the importance of optimizing the heat flux ratio between the wide face and narrow face mould even under a high casting speed condition.
Ciprofloxacin in Patients Undergoing Extracorporeal Membrane Oxygenation (ECMO): A Population Pharmacokinetic Study

Extracorporeal membrane oxygenation (ECMO) is utilized to temporarily sustain respiratory and/or cardiac function in critically ill patients. Ciprofloxacin is used to treat nosocomial infections, but data describing the effect of ECMO on its pharmacokinetics is lacking. Therefore, a prospective, observational trial including critically ill adults (n = 17), treated with ciprofloxacin (400 mg 8–12 hourly) during ECMO, was performed. Serial blood samples were collected to determine ciprofloxacin concentrations to assess their pharmacokinetics. The pharmacometric modeling was performed (NONMEM®) and utilized for simulations to evaluate the probability of target attainment (PTA) to achieve an AUC0–24/MIC of 125 mg·h/L for ciprofloxacin. A two-compartment model most adequately described the concentration-time data of ciprofloxacin. Significant covariates on ciprofloxacin clearance (CL) were plasma bicarbonate and the estimated glomerular filtration rate (eGFR). For pathogens with an MIC of ≤0.25 mg/L, a PTA of ≥90% was attained. However, for pathogens with an MIC of ≥0.5 mg/L, plasma bicarbonate ≥ 22 mmol/L or eGFR ≥ 10 mL/min PTA decreased below 90%, steadily declining to 7.3% (plasma bicarbonate 39 mmol/L) and 21.4% (eGFR 150 mL/min), respectively. To reach PTAs of ≥90% for pathogens with MICs ≥ 0.5 mg/L, optimized dosing regimens may be required.
Study on the Characteristics of the Dispersion and Conductivity of Surfactants for the Nanofluids

Given the importance of nanofluid dispersion and stability, a number of approaches were proposed and applied to the nanofluid preparation process. Among these approaches, the noncovalent chemical process was intensively utilized because of its effective dispersion ability. For the noncovalent dispersion method, polymers and surfactants are typically used. In order to find an effective noncovalent dispersion method, several types of solutions were prepared in this study. The widely used naturally cellulose nanocrystal (CNC) aqueous solution was compared with several surfactant aqueous solutions. The dispersion characteristics of the prepared fluids were examined by UV/VIS spectroscopy at operating wavelengths ranging from 190 to 500 nm. Furthermore, the heat capacity and the electrical and thermal conductivity of the fluids were analyzed to evaluate their heat transfer performance and conductivity. The Lambda system was utilized for thermal conductivity measurement with operation at proper temperature ranges. The electrical conductivity of the fluids was measured by a conductivity meter. This experimental study revealed that the cellulose nanocrystal was an effective source of the noncovalent dispersion agent for thermal characteristics and was more eco-friendly than other surfactants. Moreover, cellulose aqueous solution can be used as a highly thermal efficient base fluid for nanofluid preparation.
Measurement and Analysis of Vibration Levels in Rail Transport in Central Europe

In the last decade, with a continued change in world economic conditions and global trade, transportation of goods has continued to increase. The opening of new and existing markets requires that products and packages move through various regions of the world using available logistical equipment and networks at a faster pace. It also requires that damage be kept at a minimum while providing maximum safety to individuals. This can be achieved by properly designing packages to transportation levels that occur in the supply chain. The purpose of this research is to both measure and analyse the vibration physical forces that occur during rail transport. Rail shipments are widely used across the world, and they are an integral part of the intermodal transfer of ISO containers from ships and trucks to rail. The aim of this paper is to provide vibration levels measured for rail shipments on a major railway line in Central Europe that has not been previously published. The vibration levels that were measured in this study were compared with American Society of Testing and Materials, United States Military Standards and United Kingdom Defense Standard standards and International Safe Transit Association procedures in the form of power spectral density spectrums. A composite power spectral density spectrum is provided which can be used to simulate the measured rail vibration levels in Central Europe. Results are also compared with rail travel in other international shipments for North America and Asia. Copyright © 2016 John Wiley & Sons, Ltd.