Miracle-dz/UniFAR-FTUs huggingface dataset:
Does user satisfaction affect employee well-being? An exploratory investigation at the onward and upward stage of enterprise system experience cycle

ABSTRACT The existing literature pays little attention to the onward and upward stage, the final stage of an ES life cycle where system enhancement and integration cause permanent changes in employees’ work and profoundly impact their well-being. Drawing from the Enterprise System Experience Cycle Framework and human resource management literature, we have proposed, and examined through the survey of 109 users, the impact of user satisfaction on job satisfaction, job stress, and employee engagement. As an early effort at exploring the onward and upward stage, our research contributes to a comprehensive understanding of ES success and its impact on employee well-being.
When a Neglected Tropical Disease Goes Global: Knowledge, Attitudes and Practices of Italian Physicians towards Monkeypox, Preliminary Results

Monkeypox (MPX) has been regarded as a neglected tropic disease of Western and Central Africa since the early 70s. However, during May 2022, an unprecedent outbreak of MPX has involved most of European Countries, as well as North and South America. While the actual extent of this outbreak is being assessed by health authorities, we performed a pilot study on specific knowledge, attitudes, and practices (KAP) in a sample of Italian medical professionals (24–30 May 2022; 10,293 potential recipients), focusing on Occupational Physicians (OP), Public Health Professionals (PH), and General Practitioners (GP), i.e., medical professionals more likely involved in the early management of incident cases. More specifically, we inquired into their attitude on the use of variola vaccine in order to prevent MPX infection. From a total of 566 questionnaire (response rate of 5.5%), 163 participants were included in the final analyses. Knowledge status was quite unsatisfying, with substantial knowledge gaps on all aspect of MPX. In turn, analysis of risk perception suggested a substantial overlooking of MPX as a pathogen, particularly when compared to SARS-CoV-2, TB, HIV, and HBV. Overall, 58.6% of respondents were somehow favorable to implement variola vaccination in order to prevent MPX, and the main effectors of this attitude were identified in having been previously vaccinated against seasonal influenza (adjusted Odds Ratio [aOR] 6.443, 95% Confidence Interval [95%CI] 1.798–23.093), and being favorable to receive variola vaccine (aOR 21.416; 95%CI 7.290–62.914). In summary, the significant extent of knowledge gaps and the erratic risk perception, associated collectively stress the importance of appropriate information campaigns among first-line medical professionals.
Genetic Association between Different Metabolic Variants in APOA5 and PLIN1 in Type 2 Diabetes Mellitus among the Western Saudi Population: Case-Control Study

Type 2 diabetes mellitus (T2DM) is a multifactorial disease with a high global incidence. Hypertriglyceridemia is a major risk factor for both cardiovascular disease and T2DM. In this study, we determined the allele and genotype frequencies of apolipoprotein A5 (APOA5) single nucleotide polymorphism (SNP) rs662799 and perilipin 1 (PLIN1) SNPs rs894160, rs6496589, and rs1052700 and evaluated their association with T2DM risk in western Saudis. Only rs6496589 was found to be significantly associated with T2DM risk. We determined the risk allele for each SNP based on relative risk, and found that the G allele of rs662799, T allele of rs894160, G allele of r6496589, and T allele of rs1052700 correlated with T2DM risk. The effect of each SNP on T2DM risk and five of its clinical phenotypes was explored using multiple logistic regression. We found significant correlations between the C/G and G/G genotypes of rs6496589 and T2DM risk in the unadjusted model, whereas G/G was the only genotype that correlated with the risk of T2DM in the adjusted model. There was no significant correlation between rs662799, rs894160, and rs1052700 genotypes and T2DM risk. In conclusion, we have identified novel risk alleles and genotypes that contribute to genetic risk for T2DM in the western Saudi population.
A physically interpretable data-driven surrogate model for wake steering

Abstract. Wake steering models for control purposes are typically based on analytical wake descriptions tuned to match experimental or numerical data. This study explores whether a data-driven surrogate model with a high degree of physical interpretation can accurately describe the redirected wake. A linear model trained with large-eddy-simulation data estimates wake parameters such as deficit, center location and curliness from measurable inflow and turbine variables. These wake parameters are then used to generate vertical cross-sections of the wake at desired downstream locations. In a validation considering eight boundary layers ranging from neutral to stable conditions, the far wake's trajectory, curl and available power are accurately estimated. A significant improvement in accuracy is shown in a benchmark study against two analytical wake models, especially under derated operating conditions and stable atmospheric stratifications. Even though the results are not directly generalizable to all atmospheric conditions, locations or turbine types, the outcome of this study is encouraging.
The Perception and Experience of Parents of Children with Cleft Lip and Palate Concerning the Use Pre-Surgical Infant Orthopedics: A Questionnaire-Based Cross-Sectional Survey

Background: A transitory period prior to the surgical correction of cleft lip and palate (CLP) is associated with adverse impacts, which may require a medical intervention. Pre-surgical infant orthopedics (PSIO) is deemed to reduce the functional and psychological burden, offering a transition until the definite surgical intervention. Aim: To assess the attitude of Iraqi mothers concerning the application and management of pre-surgical orthopedic appliances in children with cleft lip and palate, taking consideration of the mothers’ occupational status. Methods: The cross-sectional study was conducted in the College of Dentistry at Baghdad University from 5 January 2020 to 4 December 2021. A questionnaire form was validated based on existing data related to the assessment of parents’ satisfaction concerning PSIO. Results: A concern related to the impression procedure was reported by a minority of the participants (6.8%) and it was associated mainly to the perceptions of housewives’ vs. working mothers (p < 0.05). The perceived infants’ discomfort during the impression procedure reported at 11.9% was significantly associated with housewives’ status (p < 0.05). In general, the vast majority of respondents considered the impression as being non-invasive (96.6%). Most mothers found no difficulties in following the instructions of the specialist regarding the insertion of the PSIO and/or taping the elastic bands (62.7%). Respondents believed that CLP infants routinely require PSIO treatment. Interestingly, only a minority of mothers performed an Internet search to look for information about PSIO (7%). The majority indicated the PSIO treatment as beneficial for their infant and a substantial proportion of respondents were satisfied with the outcomes of PSIO, encouraging other parents to consent the PSIO treatment. Conclusion: In general, mothers broadly acknowledged the primary concept of PSIO and accepted the proposed treatment, with a positive attitude towards pre-surgical CLP management, regardless their socio-economic status. They seemed to understand well the expected benefits of PSIO, including feeding improvement, normalization of speech, and optimization of future surgical outcomes.
Fast Parallel Bayesian Network Structure Learning

Bayesian networks (BNs) are a widely used graphical model in machine learning for representing knowledge with uncertainty. The mainstream BN structure learning methods require performing a large number of conditional independence (CI) tests. The learning process is very time-consuming, especially for high-dimensional problems, which hinders the adoption of BNs to more applications. Existing works attempt to accelerate the learning process with parallelism, but face issues including load unbalancing, costly atomic operations and dominant parallel overhead. In this paper, we propose a fast solution named Fast-BNS on multi-core CPUs to enhance the efficiency of the BN structure learning. Fast-Bns is powered by a series of efficiency optimizations including (i) designing a dynamic work pool to monitor the processing of edges and to better schedule the workloads among threads, (ii) grouping the CI tests of the edges with the same endpoints to reduce the number of unnecessary CI tests, (iii) using a cache-friendly data storage to improve the memory efficiency, and (iv) generating the conditioning sets on-the-fly to avoid extra memory consumption. A comprehensive experimental study shows that the sequential version of Fast-BNS is up to 50 times faster than its counterpart, and the parallel version of Fast-Bns achieves 4.8 to 24.5 times speedup over the state-of-the-art multi-threaded solution. Moreover, Fast-BNS has a good scalability to the network size as well as sample size.
Effect of Meta-Learning Teaching Method on the Academic Performance of Building Trades Students in Technical Colleges in South-East Nigeria

The need to improve academic performance in building trades by students of technical colleges in South-east Nigeria necessitated this study to determine the effect of meta-learning teaching method (MTM) on the students' academic performance. Two research questions guided the study and two hypotheses were tested at 0.05 level of significance. A quasi-experimental design involving experimental and control groups plus pre-test and post-test was adopted. Population of the study was all the 376 National Technical Certificate (NTC) year II building trades students. A sample of 120 was purposively drawn for the study. Instrument for data collection was Building Trades Performance Test (BTPT) validated by experts with a reliability coefficient of 0.60. Data were analyzed with mean, standard deviation and ANCOVA. It was found that MTM improved students' academic performance in building trades. No significant interaction effect was observed between school ownership and the two methods used. Conclusion was drawn and it was recommended that building trades teachers should use MTM while supervisory agencies should assist them through seminars and conferences.
Whose Public Virtue? Exploring Freedom of Information Efficacy and Support

Little is known about public perceptions of how FOI laws influence government operations or impact citizens’ daily lives. A large representative sample of U.S. adults was surveyed for support of FOI laws and perceptions of FOI efficacy. Findings showed advanced education and higher perceptions of general government efficacy to be strongly significant in predicting both support for FOI and greater FOI efficacy. Males and liberal respondents also demonstrated significance in predicting support for FOI and higher FOI efficacy, while individuals identifying as Black race was a significant negative predictor in support for FOI and whether FOI improved government operations and accountability.
Chlorpromazine and Promethazine (C+P) Reduce Brain Injury after Ischemic Stroke through the PKC-δ/NOX/MnSOD Pathway

Cerebral ischemia-reperfusion (I/R) incites neurologic damage through a myriad of complex pathophysiological mechanisms, most notably, inflammation and oxidative stress. In I/R injury, nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (NOX) produces reactive oxygen species (ROS), which promote inflammatory and apoptotic pathways, augmenting ROS production and promoting cell death. Inhibiting ischemia-induced oxidative stress would be beneficial for reducing neuroinflammation and promoting neuronal cell survival. Studies have demonstrated that chlorpromazine and promethazine (C+P) induce neuroprotection. This study investigated how C+P minimizes oxidative stress triggered by ischemic injury. Adult male Sprague-Dawley rats were subject to middle cerebral artery occlusion (MCAO) and subsequent reperfusion. 8 mg/kg of C+P was injected into the rats when reperfusion was initiated. Neurologic damage was evaluated using infarct volumes, neurological deficit scoring, and TUNEL assays. NOX enzymatic activity, ROS production, protein expression of NOX subunits, manganese superoxide dismutase (MnSOD), and phosphorylation of PKC-δ were assessed. Neural SHSY5Y cells underwent oxygen-glucose deprivation (OGD) and subsequent reoxygenation and C+P treatment. We also evaluated ROS levels and NOX protein subunit expression, MnSOD, and p-PKC-δ/PKC-δ. Additionally, we measured PKC-δ membrane translocation and the level of interaction between NOX subunit (p47phox) and PKC-δ via coimmunoprecipitation. As hypothesized, treatment with C+P therapy decreased levels of neurologic damage. ROS production, NOX subunit expression, NOX activity, and p-PKC-δ/PKC-δ were all significantly decreased in subjects treated with C+P. C+P decreased membrane translocation of PKC-δ and lowered the level of interaction between p47phox and PKC-δ. This study suggests that C+P induces neuroprotective effects in ischemic stroke through inhibiting oxidative stress. Our findings also indicate that PKC-δ, NOX, and MnSOD are vital regulators of oxidative processes, suggesting that C+P may serve as an antioxidant.
Advances in Graph-Cut Optimization: Multi-Surface Models, Label Costs, and Hierarchical Costs

Computer vision is full of problems that are elegantly expressed in terms of mathematical optimization, or energy minimization. This is particularly true of “low-level” inference problems such as cleaning up noisy signals, clustering and classifying data, or estimating 3D points from images. Energies let us state each problem as a clear, precise objective function. Minimizing the correct energy would, hypothetically, yield a good solution to the corresponding problem. Unfortunately, even for low-level problems we are confronted by energies that are computationally hard—often NP-hard—to minimize. As a consequence, a rather large portion of computer vision research is dedicated to proposing better energies and better algorithms for energies. This dissertation presents work along the same line, specifically new energies and algorithms based on graph cuts. We present three distinct contributions. First we consider biomedical segmentation where the object of interest comprises multiple distinct regions of uncertain shape (e.g. blood vessels, airways, bone tissue). We show that this common yet difficult scenario can be modeled as an energy over multiple interacting surfaces, and can be globally optimized by a single graph cut. Second, we introduce multi-label energies with label costs and provide algorithms to minimize them. We show how label costs are useful for clustering and robust estimation problems in vision. Third, we characterize a class of energies with hierarchical costs and propose a novel hierarchical fusion algorithm with improved approximation guarantees. Hierarchical costs are natural for modeling an array of difficult problems, e.g. segmentation with hierarchical context, simultaneous estimation of motions and homographies, or detecting hierarchies of patterns.
The efficacy of commercial decontamination agents differs between standardised test settings and research laboratory usage for a variety of bacterial species

Decontamination of surfaces and items plays an important role in reducing the spread of infectious microorganisms in many settings including hospitals and research institutes. Regardless of the location, appropriate decontamination procedures are required for maintaining biosafety and biosecurity. For example, effective decontamination of microbial cultures is essential to ensure proper biocontainment and safety within microbiological laboratories. To this end, many commercial decontamination agents are available which have been tested to a prescribed standard to substantiate their efficacy. However, these standardised tests are unlikely to accurately reflect many conditions encountered in medical and biomedical research. Despite this, laboratory workers and other users of decontamination agents may assume that all decontamination agents will work in all situations. We tested commonly used commercial decontamination agents against a range of bacterial species to determine their efficacy under real-world research laboratory conditions. As each decontamination agent has a different recommended dilution for use, to compare their efficacy we calculated their ‘effective ratio’ which reflects the difference between the manufacturer-recommended dilution and the dilution needed to achieve decontamination under real-world research laboratory conditions. Effective ratios above one indicate that the agent was effective at a dilution more dilute than recommended whereas effective ratios lower than one indicate that the agent required a higher concentration than recommended. Our results show that the quaternary ammonium agents TriGene Advance and Chemgene HLD4L were the most effective out of the agents tested, with biocidal activity measured at up to 64 times the recommended dilution. In contrast, hypochlorite (bleach) and Prevail™ (stabilised hydrogen peroxide) had the lowest effective ratios amongst the tested agents. In conclusion, our data suggests that not all decontamination agents will work at the recommended dilutions under real-world research laboratory conditions. We recommend that the protocols for the use of decontamination agents are verified under the specific conditions required to ensure they are fit for purpose.
Gender dynamics in high school policy debate: propagating gender hierarchies in advocating ‘better’ futures

ABSTRACT High school policy debate is an academically rigourous and highly competitive US activity—elite debaters often go on to top universities and pursue successful careers. Access to the skills that debate teaches is invaluable for high schoolers, but these benefits are not equally accessible to all. As a historically male-dominated activity, the number of male debaters remains disproportionately high and the activity continues to be highly influenced by gender hierarchies. Through semi-structured interviews, this paper addresses the question: what makes high school policy debate a unique educational space for producing gender dynamics, and what are the impacts of those dynamics on debaters that identify as women? Our findings show that debate is a complex and contradictory space. While women in debate are disadvantaged by gender imbalance, implicit activity norms, and instances of objectification and sexual violence, the activity also arms students with tools to disrupt these gender hierarchies.
Aberrant Expression of ACO1 in Vasculatures Parallels Progression of Idiopathic Pulmonary Fibrosis

Rationale: Idiopathic pulmonary fibrosis (IPF) is characterized by mitochondrial dysfunction. However, details about the non-mitochondrial enzymes that sustain the proliferative nature of IPF are unclear. Aconitases are a family of enzymes that sustain metabolism inside and outside mitochondria. It is hypothesized that aconitase 1 (ACO1) plays an important role in the pathogenesis of IPF given that ACO1 represents an important metabolic hub in the cytoplasm. Objectives: To determine if ACO1 expression in IPF lungs shows specific patterns that may be important in the pathogenesis of IPF. To determine the similarities and differences in ACO1 expression in IPF, bleomycin-treated, and aging lungs. Methods: ACO1 expression in IPF lungs were characterized and compared to non-IPF controls by western blotting, immunostaining, and enzymatic activity assay. ACO1-expressing cell types were identified by multicolor immunostaining. Using similar methods, the expression profiles of ACO1 in IPF lungs versus bleomycin-treated and aged mice were investigated. Measurements and main results: Lower lobes of IPF lungs, unlike non-IPF controls, exhibit significantly high levels of ACO1. Most of the signals colocalize with von Willebrand factor (vWF), a lineage marker for vascular endothelial cells. Bleomycin-treated lungs also show high ACO1 expressions. However, most of the signals colocalize with E-cadherin and/or prosurfactant protein C, representative epithelial cell markers, in remodeled areas. Conclusions: A characteristic ACO1 expression profile observed in IPF vasculatures may be a promising diagnostic target. It also may give clues as to how de novo angiogenesis contributes to the irreversible nature of IPF.
A computational theory of laurent polynomial rings and multidimensional fir systems

A Laurent polynomial ring is a natural ground ring for the study of FIR (Finite Impulse Response) systems in signal processing since an FIR filter bank can be seen as a matrix over this ring, and the notion of perfect reconstruction is represented by the unimodularity of the corresponding multivariate Laurent polynomial matrices. Contrary to the conventional affine approach to the theory of multidimensional FIR filter banks as a linear algebra over polynomial rings, the toric approach based on Laurent polynomial rings offers a more adequate framework. In connection with these applications, we look at the computational aspects of the theory of modules over Laurent polynomial rings, and develop a few of their applications to signal processing: (1) A new, computationally effective algorithm for the Quillen-Suslin Theorem is found, and implemented using the computer algebra package SINGULAR. (2) An algorithmic proof of Suslin's Stability Theorem is found, which gives an analogue of Gaussian Elimination over a polynomial ring. (3) An algorithmic process of converting results over polynomial rings to their counterparts over Laurent polynomial rings is developed. With the help of this process, we extend the above two algorithms, the Quillen-Suslin Theorem and Suslin's Stability Theorem, to the case of Laurent polynomial rings. (4) A notion of inner product spaces over Laurent polynomial rings is introduced, and a theoretical framework for this notion is developed. (5) A few outstanding problems in multidimensional perfect reconstructing filter banks are shown to be solvable with the aid of the above algorithms. Explicit examples are included that are worked out by SINGULAR.
Awareness and Usage of Internet Banking Facilities in Pokhara Metropolitan, Nepal

Background: Many businesses’ operating models have shifted as a result of evolution of the internet, and the banking industry has been no exception in recent years. Objectives: The purpose of this study is to determine the internet banking awareness and usage in Pokhara Metropolitan, Nepal. Further, it investigates the factors that affect the internet banking usage in the research area. Methods: A quantitative approach has been employed in this study using descriptive and analytical research design. This study is based on a survey of 225 customers of commercial banks living in Pokhara which are selected purposively. Results: This study finds that the majority of the respondents are aware and use the internet banking services provided by banks mostly for checking the account and bank statement, topping up the mobile phone, transferring money between accounts, and paying utility bills. Similarly, it finds that time-savings, 24 hours’ availability, easy banking transactions, speediness, and reliability are the primary reasons for internet banking usage. Whereas, insufficient understanding of internet banking, preference of traditional banking over internet banking, lack of internet using habit are the major reasons for no use of internet banking services. The regression analysis shows that the factors such as awareness, access, security, and bank support have a significant positive effect on internet banking usages. Conclusion: Internet banking is widely used in Pokhara Metropolitan. Further, increase in awareness level, internet access, secure internet banking, and bank’s support helps to increase the internet banking usage in Nepal.