Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining Factors Impacting the Effectiveness of Anti-Phishing Trainings

ABSTRACT Approximately 65% of the organizations in the United States have fallen victim to a successful phishing attack. Many organizations offer anti-phishing training to their employees to defend against phishing attacks. The purpose of this study is to examine factors impacting the effectiveness of anti-phishing training and study the relationship between personality traits and phishing susceptibility. Participants filled out pre- and post-training surveys that included questions on identifying phishing and legitimate URLs and questions to determine DISC (Dominant, Influence, Steadiness, and Conscientiousness) personality traits. An analysis of the survey data shows that the participants’ average accuracy in detecting phishing URLs increased 8% (t = 2.144, p-value = 0.0374) and their confidence in their answer choices increased 6% (t = 2.032, p-value = 0.0464) from pre-training to post-training surveys. Before and after training, participants with the Influence personality trait had the lowest susceptibility while both Dominant and Steadiness personalities had the highest susceptibility before and after training respectively.
Ab Initio Molecular Dynamics: Basic Theory and Advanced Methods

Ab initio molecular dynamics revolutionized the field of realistic computer simulation of complex molecular systems and processes, including chemical reactions, by unifying molecular dynamics and electronic structure theory. This book provides the first coherent presentation of this rapidly growing field, covering a vast range of methods and their applications, from basic theory to advanced methods. This fascinating text for graduate students and researchers contains systematic derivations of various ab initio molecular dynamics techniques to enable readers to understand and assess the merits and drawbacks of commonly used methods. It also discusses the special features of the widely used Car–Parrinello approach, correcting various misconceptions currently found in the research literature. The book contains pseudo-code and program layout for typical plane wave electronic structure codes, allowing newcomers to thefield to understand commonly used program packages, and enabling developers to improve and add new features in their code.
Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier

Distracted driving is known to be one of the main causes of crashes in the United States, accounting for about 40% of all crashes. Drivers’ situational awareness, decision-making, and driving performance are impaired as a result of temporarily diverting their attention from the primary task of driving to other unrelated tasks. Detecting driver distraction would help in adapting the most effective countermeasures. To tackle this problem, we employed a random forest (RF) classifier, one of the best classifiers that has attained promising results for a wide range of problems. Here, we trained RF using the data collected from a driving simulator, in which 92 participants drove under six different distraction scenarios of handheld calling, hands-free calling, texting, voice command, clothing, and eating/drinking on four different road classes (rural collector, freeway, urban arterial, and local road in a school zone). Various driving performance measures such as speed, acceleration, throttle, lane changing, brake, collision, and offset from the lane center were investigated. Using the RF method, we achieved 76.5% prediction accuracy on the independent test set, which is over 8.2% better than results reported in previous studies. We also obtained a 76.6% true positive rate, which is 14% better than those reported in previous studies. Such results demonstrate the preference of RF over other machine learning methods to identify driving distractions.
One-dimensional Anisotropic Electronic States in Needle-shaped La5Ti2CuS5O7 Single Crystals Grown in Molten Salt in Bridgman Furnace

High-quality needle-like crystals of La5Ti2CuS5O7 (a ternary transition-metallic oxysulfide) as long as 1 mm and a few μm in diameter were grown in CsCl molten-salt flux. This synthesis process was performed in a Bridgman furnace with slow motion of charge across the heating zone. Transmission electron microscopy/diffraction analysis indicated that they are product crystallites without crystalline intergrowth, and that the longitudinal direction of needle crystals is parallel to crystallographic b axis of La5Ti2CuS5O7. Optical polarized ultraviolet–visible reflectance spectroscopy provided the first experimental evidence of the one-dimensional electronic excitation along the b axis of this material. The spectroscopic peaks are assigned to the transitions between the electronic bands aided by numerical calculations on the basis of density functional theory (DFT). The advantages of this synthetic process will be applicable in general for oxysulfides that are useful as optical and photocatalytic materials.
Targeting epigenetic modifiers to reprogramme macrophages in non-resolving inflammation-driven atherosclerosis

Abstract Epigenomic and epigenetic research has been providing several new insights into a variety of diseases caused by non-resolving inflammation, including cardiovascular diseases. Atherosclerosis (AS) has long been recognized as a chronic inflammatory disease of the arterial walls, characterized by local persistent and stepwise accelerating inflammation without resolution, also known as uncontrolled inflammation. The pathogenesis of AS is driven primarily by highly plastic macrophages via their polarization to pro- or anti-inflammatory phenotypes as well as other novel subtypes recently identified by single-cell sequencing. Although emerging evidence has indicated the key role of the epigenetic machinery in the regulation of macrophage plasticity, the investigation of epigenetic alterations and modifiers in AS and related inflammation is still in its infancy. An increasing number of the epigenetic modifiers (e.g. TET2, DNMT3A, HDAC3, HDAC9, JMJD3, KDM4A) have been identified in epigenetic remodelling of macrophages through DNA methylation or histone modifications (e.g. methylation, acetylation, and recently lactylation) in inflammation. These or many unexplored modifiers function to determine or switch the direction of macrophage polarization via transcriptional reprogramming of gene expression and intracellular metabolic rewiring upon microenvironmental cues, thereby representing a promising target for anti-inflammatory therapy in AS. Here, we review up-to-date findings involving the epigenetic regulation of macrophages to shed light on the mechanism of uncontrolled inflammation during AS onset and progression. We also discuss current challenges for developing an effective and safe anti-AS therapy that targets the epigenetic modifiers and propose a potential anti-inflammatory strategy that repolarizes macrophages from pro- to anti-inflammatory phenotypes.
Screen time-based sedentary behaviour, eating regulation and weight status of university students during the COVID-19 lockdown

Purpose This study aims to investigate the relationships among screen time-based sedentary behaviour, eating self-regulatory skills and weight status among private university students during the Movement Control Order (MCO). Design/methodology/approach A total of 186 private university students was enrolled in this cross-sectional study using a combination of snowball and purposive sampling approaches. Anthropometric measurements, including body height, body weight before and during the MCO enforcement were self-reported by the respondents. Screen-time based sedentary behaviour sedentary behaviour was evaluated using HELENA sedentary behaviour questionnaire, whereas the Self-Regulation of Eating Behaviour Questionnaire (SREBQ) was used to determine the eating self-regulatory skills in MCO. Findings Respondents spent most of the time on the internet for non-study purposes (148 ± 77.7 min). It is also noted that 64.5% of the respondents had medium eating self-regulatory skill during the MCO, with an average score of 3.0 ± 0.5. Findings from path analysis confirmed that poor eating self-regulation significantly contributed to the weight gain during home confinement (ß = −0.24, p = 0.01). In conclusion, eating self-regulation, but not total screen time, emerged as the determinant for weight gain during the COVID-19 lockdown. Originality/value According to the authors’ knowledge, this study was among the few that investigated sedentary behaviour, eating self-regulatory skills and weight status of university students during the COVID-19 pandemic.
Profilistic Study of Bioactivities of Extracts of Gongronema latifolium Incorporated with Alum on some Clinical Bacteria

Profilistic study of bioactivities of aqueous, ethanolic and methanolic leaf extracts of Gongronema latifolium in combination with potassium aluminium sulphate (Alum) against some clinical bacterial pathogens were investigated by disc diffusion (DD) and Agar well diffusion (AWD) methods respectively. The leaf extracts at concentrations of 0.1-0.3g were reconstituted in sterile distilled water as well as 1.0-3.0g of alum prior to application. In-vitro bioactivity of various concentrations of the extracts and in combination with alum were evaluated by measuring diameter of inhibition zones (DIZs) respectively. Methanolic leaf extract (MLE) had the largest mean DIZs of 14.5±0.5 and 11.5±0.0mm on Escherichia coli and Salmonella typhi, with enhanced bioactivity of 19.5±0.7 and 17.5±0.7mm with alum against Bacillus subtilis, Sal. typhi and Pseudomonas aeruginosa by DD and AWD methods respectively. However, aqueous leaf extract (ALE) and ethanolic leaf extract (ELE) and their combinations depicted appreciable antibacterial activity on the pathogens but incomparable to MLE. Generally, there was enhancement of bioactivties with the incorporation of Alum to the leaf extracts (irrespective of solvent of extraction) on a dose response fashion particularly by AWD method. Furthermore, the low MIC values of <0.05 to 0.2mg/ml on the bacteria with MLE and ALE, validates their potency and broad spectrum activity. In contrast, the very large DIZs of Ciprofloxacin (CP) reflects the beneficial impact of purified chemotherapeutics against pathogens. Thus, the improved efficacy of these extracts with alum would justify future application in ethnomedicine as well as in nutraceuticals/pharmaceuticals or in food systems as “green chemicals” or “biopreservatives”. International Current Pharmaceutical Journal, October 2018, 6(12): 92-98
Relational Capabilities under Moderating and Mediating Effects to Understand their Impacts on Firm Financial Performance

Relational Capabilities (RC) appear are valuable capabilities not only for performance but also to generate profitability. In this vein, this study performed a meta-analytic investigation of RC dimensions influencing firm financial performance. It also examined the role of mediating and moderating effects of knowledge management and partners integration influencing this association. From a meta-analytic procedure, 54 empirical studies were examined through random- effects model of Pearson’s correlations as the effect size and a meta-analytical regression analysis (MARA) to examined moderation effects and meta-analytical structure equation modeling (MASEM) to examined mediation effects. Our findings confirm that firm financial performance is impacted directly and positively by RC itself excepting by the intrafirm relational capacity dimension. We also find that knowledge management and partner integration do not mediate positively the effect RC on firm financial performance. Further, RC dimensions effects on firm financial performance vary positively and negatively across partner integration and knowledge management moderation effects. This study RC business their of to in a financial favorable of
Pedigree accumulation analysis: Combining methods from community ecology and population genetics for breeding adult estimation

Estimates of the number of successfully breeding adults (NS) in a population can predict levels of recruitment. However, assessments of NS are often difficult to obtain because encounters with adults are limited due to life‐history characteristics, low abundance or other constraints associated with access to critical habitats. Alternatively, efforts to sample individuals at earlier ontogenetic stages can be more tractable, resulting in more comprehensive samples. To estimate NS, we describe, evaluate and apply two nonparametric species richness estimators to information associated with genetic pedigree reconstruction. Simulations compared bias and precision associated with Chao and Jackknife methods when estimating NS. We also evaluated NS estimation sensitivity to two sources of variation associated with species reproductive ecology (variance in reproductive success and sex ratio skew) and genetic pedigree assignment error. Finally, the application of our novel method was demonstrated in two different species and systems (Chinook Salmon in Oregon, USA and Lake Sturgeon in Michigan, USA). We found unbiased NS estimates were generated across a broad range of offspring sample sizes using the Chao method. Empirical results corroborated simulation‐based expectations and highlighted applications where parents and offspring are sampled, and when only offspring are sampled. When offspring sample sizes are adequate and pedigree reconstruction errors are low, the combination of established methods from community ecology and genetic pedigree reconstruction provides an accurate alternative method to estimate NS that can facilitate population assessments.
Efficacies of Eruca Sativa and Raphanus Sativus Seeds’ Oils in Streptozotocin- Induced Diabetic Rats

Objective: The study was planned to investigate the effect of Eruca sativa seeds’ oil (ESSO) and Raphanus sativus seeds’ oil (RSSO) on impaired glucose tolerance, lipid profile and oxidative stress in streptozotocin-induced diabetic albino rats. Also, the probable mechanisms of action were suggested
The Effect of Online Customer Review and Promotion through E-Trust on the Purchase Decision of Bukalapakin Medan City

Technological developments have made a shift in customer behavior from purchasing through an offline shop to purchasing through an online shop or through e-commerce. People tend to use technology to support their needs. The development of e-commerce sites is increasingly intense with many e-commerce sites competing with each other to attract the attention of sellers and buyers. Currently in Indonesia, the online shop trend is on the rise. Many new online shops have started to appear, adding to the list of old online shops that have already been in this e-commerce business. One of the e-commerce sites originating from within the country, including Bukalapak. Bukalapak is a marketplace that was founded by Ahmad Zaky in 2010. Consumer decisions in making purchases at Bukalapak are influenced by several factors, namely online customer reviews, promotions and e-trust. The purpose of this study was to analyze the influence of online customer reviews and promotions through e-trust on Bukalapak's purchasing decisions in Medan City. The type of this research is associative research and the population in this study is Bukalapak users in Medan City whose number is unknown. The sampling method used is accidental sampling. Data analysis was carried out through PLS-SEM using the SmartPLS program. The results show that online customer reviews, promotions and e-trust directly have a positive and significant impact on Bukalapak's purchasing decisions in Medan City. then indirectly online customer review has a positive and significant effect on purchasing decisions through e-trust and promotions through e-trust have a positive and significant impact on Bukalapak's purchasing decisions in Medan City. Keywords: Online Customer Review, Promotion, e-Trust, Purchase Decision.
Fintech Credit and Bank Efficiency: International Evidence

The expansion of fintech credit around the world is challenging the global banking system. This study investigates the interrelationships between the development of fintech credit and the efficiency of banking systems in 80 countries from 2013 to 2017. The findings indicate a two-way relationship between them. More specifically, a negative relationship between bank efficiency and fintech credit implies that fintech credit is more developed in countries with less efficient banking systems. Meanwhile, a positive impact of fintech credit on the efficiency of banking systems suggests that fintech credit may serve as a wake-up call to the banking system. Therefore, fintech credit should be encouraged by the authorities around the world.
Changes in public service motivation: Can public administration education help cultivate it?

This study aims to investigate the influence of public administration education on the development of college students' public service motivation over time. The data come from a four-wave panel survey of 868 Taiwanese undergraduate students who enrolled in college in 2015; 418 of them majored in public administration and 450 majored in business administration. Latent growth modeling was employed to capture a change of overall public service motivation and individual public service motivation dimensions. Our findings show that students' public service motivation tends to change during the college years, while public administration education may not significantly contribute to its development. Points for practitioners Research findings offer some implications for practice. Given that public service motivation seems to be changeable, it becomes relevant for public managers to invest in developing employees' motivation to serve and make a positive difference in others' lives. However, any in-service training aiming to foster employee public service motivation should not focus too much on knowledge delivery, but rather accentuate the establishment and practice of service values.
Modeling and Control of Dynamic Stall Loads on a Smart Airfoil at Low Reynolds Number

This article describes the development and testing of a modified, semi-empirical ONERA dynamic stall model for an airfoil with a trailing edge flap—a “smart airfoil”—pitching at reduced frequencies up to 0.1. The Reynolds number is 105. The model reconstructs the load fluctuations associated with the shedding of multiple dynamic stall vortices (DSVs) in a time-marching solution, which makes it suitable for real-time control of a trailing edge flap (TEF). No other model captures the effect of the DSVs on the aerodynamic loads on smart airfoils. The model was refined and tuned for force measurements on a smart NACA 643-618 airfoil model that was pitching with an inactive TEF and was validated against the measurements when the TEF was activated. A substantial laminar separation bubble can develop on this airfoil, which is challenging for modelers of the unsteady response. A closed-loop controller was designed offline in SIMULINK, and the output of the controller was applied to the TEF in a wind tunnel. The results indicated that the model has a comparable accuracy for predicting loads with the active TEF compared to inactive TEF loads. In the fully separated flow regime, the controller performed worse when dealing with the development of the laminar separation bubble and DSVs.
Are Working Children in Developing Countries Hidden Victims of Pandemics?

The consequences of the recent pandemic have been disproportionately disruptive to several social groups, including children. As developing economies have been firefighting the recent pandemic, the welfare of minors could be affected and children’s economic exploitation and abuse could increase. Therefore, the present research aims to shed light on and to investigate the association between child labour in developing countries and pandemics, including the coronavirus, through conducting a systematic literature review on previous empirical studies. The present research concludes that previous studies on non-COVID-19 pandemics have mainly focused on the African economies, while studies on the recent pandemic have focused on Asian countries. In addition, differences were observed in relation to the methodological approaches and the characteristics of minor employees and the protection services in certain countries have proven to be insufficient. Suggestions for future research and policy implications are presented.
Seasonal differences in formation processes of oxidized organic aerosol near Houston, TX

Abstract. Submicron aerosol was measured to the southwest of Houston, Texas, during winter and summer 2014 to investigate its seasonal variability. Data from a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) indicated that organic aerosol (OA) was the largest component of nonrefractory submicron particulate matter (NR-PM1) (on average, 38 % ± 13 % and 47 % ± 18 % of the NR-PM1 mass loading in winter and summer, respectively). Positive matrix factorization (PMF) analysis of the OA mass spectra demonstrated that two classes of oxygenated OA (less- and more-oxidized OOA, LO and MO) together dominated OA mass in summer (77 %) and accounted for 39 % of OA mass in winter. The fraction of LO-OOA (out of total OOA) is higher in summer (70 %) than in winter (44 %). Secondary aerosols (sulfate + nitrate + ammonium + OOA) accounted for ∼76 % and 88 % of NR-PM1 mass in winter and summer, respectively, indicating NR-PM1 mass was driven mostly by secondary aerosol formation regardless of the season. The mass loadings and diurnal patterns of these secondary aerosols show a clear winter–summer contrast. Organic nitrate (ON) concentrations were estimated using the NOx+ ratio method, with contributions of 31 %–66 % and 9 %–17 % to OA during winter and summer, respectively. The estimated ON in summer strongly correlated with LO-OOA (r=0.73) and was enhanced at nighttime. The relative importance of aqueous-phase chemistry and photochemistry in processing OOA was investigated by examining the relationship of aerosol liquid water content (LWC) and the sum of ozone (O3) and nitrogen dioxide (NO2) (Ox = O3+NO2) with LO-OOA and MO-OOA. The processing mechanism of LO-OOA apparently was related to relative humidity (RH). In periods of RH < 80 %, aqueous-phase chemistry likely played an important role in the formation of wintertime LO-OOA, whereas photochemistry promoted the formation of summertime LO-OOA. For periods of high RH > 80 %, these effects were opposite those of low-RH periods. Both photochemistry and aqueous-phase processing appear to facilitate increases in MO-OOA concentration except during periods of high LWC, which is likely a result of wet removal during periods of light rain or a negative impact on its formation rate. The nighttime increases in MO-OOA during winter and summer were 0.013 and 0.01 µg MO-OOA per µg of LWC, respectively. The increase in LO-OOA was larger than that for MO-OOA, with increase rates of 0.033 and 0.055 µg LO-OOA per µg of LWC at night during winter and summer, respectively. On average, the mass concentration of LO-OOA in summer was elevated by nearly 1.2 µg m−3 for a ∼20 µg change in LWC, which was accompanied by a 40 ppb change in Ox.