Miracle-dz/UniFAR-FTUs huggingface dataset:
Sick Leaves Pattern in a Tertiary Healthcare Facility in Saudi Arabia

Background Frequent sick leaves in any healthcare organization is a critical problem that can undermine the patients' care through increasing the workload on other co-workers and costing the organization a lot of money. Methods This is a quantitative cross-sectional study looking at the frequency of sick leaves among employees of a large, tertiary healthcare facility in Riyadh. We randomly selected 474 employees, who were seen in family medicine clinics during a one-year period. We collected all the data retrospectively from their electronic medical records. Then we reviewed and analyzed all the data using SPSS software version 26.0 (IBM Corp., Armonk, NY). Results There was no difference in the sick leaves rate between males and females (p-value = 0.8618), but we saw a higher rate among younger employees (40 years old or less) compared to those 41 years or older (p-value <0.0001). We also investigated those who took four sick leaves or more during the period of the study, and we found that majority of them were nursing staff (31.71%), hospital assistances (24.39%) and housekeepers (14.63%). The commonest cause for taking sick leave in our study was viral upper respiratory tract infection (VURTI). Therefore, we studied the effect of influenza vaccine on the frequency of sick leaves and we found that those who took the vaccine were less likely to take a leave because of flu (p-value <0.0001, odds ratio 0.4067 with 95% CI: 0.2739-0.608). Conclusion Younger employees, nurses, hospital assistants and housekeepers are more likely to take sick leaves. Flu is the leading cause of sick leaves and influenza vaccine seemed to reduce its rate. In this study, we also discussed different methods that can be used by any healthcare organization to reduce the absence rate. Further studies are required to better manage the issue of excessive sick leaves.
Preparation and Characterization of Sulfonated Polyphenylquinoxalines

Poly(phenylquinoxaline)s. (PPQs) are a family of aromatic condensation polymers known for their outstanding thermal and chemical stability. The pendant phenyl groups and chains isomerism improve the solubility and processing characteristics of these polymers. PPQs have also been shown to possess excellent thermo-oxidative stability and thermohydrolytic stability. This stability makes these polymers candidates for development as proton exchange membranes (PEMs) to be used in fuel cells. In addition to thermohydrolytic stability, PEMs require high protonic conductivity and, in order to achieve this they also require high water uptake. Aromatic condensation polymers do not possess these properties, but ionomers derived from them may. The usual method to derivatiziting these polymers is through sulfonation. In the frames of the present investigation we have carried out sulfonation of two PPQs using an H2SO 4—oleum mixture (4 : 1) as sulfonating agent at 125 3C. As a quinoxaline ring is readily formed in acidic medium synthesis of sulfonated PPQs (SPPQs) was also carried out directly from monomers using an H 2SO4—oleum mixture as solvent, catalyst and as sulfonating agent. Depending on the conditions of the reaction (temperature, duration, and the ratio of components in a sulfonating mixture) the polymers containing 0.2—6.7% S were prepared. SPPQs are soluble in polar organic solvents1 from the solutions of SPPQs high strength films (3 = 80—100 MPa) were cast. On the basis of sulfonated PPQs new cation-exchange membranes were prepared and investigated. Among the cation-exchange membranes developed those of the greatest interest are proton-exchanging membranes for fuel cells. Proton conductivity of the membranes prepared strongly depends on relative humidity and comparable with the conductivity of Nafion 117.
An aquaporin-based vesicle-embedded polymeric membrane for low energy water filtration

Aquaporins (AQPs) are transmembrane water channel proteins that serve as nano-filters to selectively transport water molecules through plasma membranes in living cells at high speeds while blocking all other solutes from going through. It is envisioned that biomimetic membranes composed of aquaporin and amphiphilic phospholipids or copolymers may have great potential for use in high flux and low energy consumption water purification processes. However, the major barrier for using such a biomimetic membrane is that the ultrathin biomimetic bilayers are often too fragile to withstand high hydraulic or osmotic pressures in industrial water purification processes. Here, we show an innovative method to overcome membrane fragility by using these water channel proteins incorporated into vesicles and surface imprinting onto a substrate membrane. The water channel protein Aquaporin Z (AQPz) was reconstituted into self-assembled polymer vesicles and then immobilized onto a porous support membrane. In situ “surface imprinting” polymerization was then conducted to generate a dense hydrophobic polymer layer. This novel membrane was shown to have a well-controlled nano-structured selective layer that exhibits high mechanical strength and stability during the water filtration process. The water purification performance is significantly improved by using the AQPz-vesicle-imprinted membrane in either nanofiltration or forward osmosis mode.
A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks

Electricity theft decreases electricity revenues and brings risks to power usage’s safety, which has been increasingly challenging nowadays. As the mainstream in the relevant studies, the state-of-the-art data-driven approaches mainly detect electricity theft events from the perspective of the correlations between different daily or weekly loads, which is relatively inadequate to extract features from hours or more of fine-grained temporal data. In view of the above deficiencies, we propose a novel electricity theft detection scheme based on text convolutional neural networks (TextCNN). Specifically, we convert electricity consumption measurements over a horizon of interest into a two-dimensional time-series containing the intraday electricity features. Based on the data structure, the proposed method can accurately capture various periodical features of electricity consumption. Moreover, a data augmentation method is proposed to cope with the imbalance of electricity theft data. Extensive experimental results based on realistic Chinese and Irish datasets indicate that the proposed model achieves a better performance compared with other existing methods.
Role of Environmentalism in the Development of Green Purchase Intentions: A Moderating Role of Green Product Knowledge

Received: 18 July 2020 Accepted: 2 October 2020 Environmentalism has become not only a significant policy issue but also a crucial topic in marketing research. Environmental consciousness is now considered as a fundamental requirement to prevent further damage to the environment. Efforts have been made to improve the consumers understanding about the environmental consequences of their consumption patterns. This study develops a conceptual model of green purchase behaviour to determine the effects of environmentalism, advertisement message credibility and green perceived value on the consumers’ green purchase intentions with green product knowledge as a moderator. The convenience sampling technique with cross-sectional research design was used to select the sample. Data were collected using survey, and a total of 368 valid questionnaires were used for further analysis. The results from the structural analysis using Smart-PLS depict that environmentalism significantly influences the ad message credibility and green perceived value, and these constructs significantly affect the green purchase intentions. Furthermore, the green product knowledge moderates the relationship between environmentalism, ad message credibility and green perceived value. Overall, the findings of this study extend the theoretical basis of green purchase intentions by empirically testing the proposed model and provides the limitations and further research directions.
Mechanism of Molecular Diffusion in Ice Crystals

We used molecular dynamics (MD) simulations to investigate the diffusion of O2, N2, CH4, and CO2 in a crystal of ice Ih. The results show that the diffusion mechanism for the molecules differs significantly from the interstitial mechanism that applies to small atoms such as helium. The air molecules hopped between stable sites by a new mechanism called the breaking-bond mechanism in which hydrogen bonds in the lattice are broken. The diffusion coefficients determined from the MD calculations are several orders of magnitude larger than the estimates under the assumption of the interstitial mechanism. We conclude that the repulsive interactive between the air and water molecules in ice is the dominant factor governing the diffusion mechanism.
Determination of Chlorophenols and Alkylphenols in Water and Juice by Solid Phase Derivative Extraction and Gas Chromatography–Mass Spectrometry

A solid phase derivative extraction method using acetic anhydride was developed for the determination of chlorophenols and alkylphenols in water and fruit juice by gas chromatography–mass spectrometry (GC–MS). The quantitative extraction was performed by passing 100 mL of sample prepared in 0.1 mol L−1 sodium hydroxide through a column packed with 500 mg of a strong anion-exchange resin at a flow rate of 0.75 mL min−1. The retained phenols were quantitatively derivatized in the column by the introduction of 0.25 mL of acetic anhydride. The derivatized phenols were eluted with 3.0 mL of hexane and the effluent was dried under nitrogen. The final volume was diluted to fifty microliters with hexane and analyzed by GC–MS. Under the optimum conditions, preconcentration factors of 2000, limits of detection between 0.005 and 1.796 µg L−1, and relative standard deviations of 2.1% to 6.7% were obtained. The method was successfully applied to wastewater and fruit juice and the recoveries of phenols were between 76% and 111%.
Impact of Managerial Ability and Power on CEOs Compensation

The present study aims to test whether the rent extraction or efficient contracting which significantly influences the compensation of CEOs in Indian companies. By drawing the sample from all the listed companies providing data on CEO characteristics from the year 2006 to 2018, the study tests the empirical model using ordinary least squares regression and quantile regression. The results of analysis reveal that CEO compensation is tenure-variant and there is a trivial difference between the impact of CEO power and CEO tenure. It is in line with the bargaining theory of managerial ability view on CEO compensation. It supports efficient contracting in CEO compensation. The results of the analysis also reveal that impact of CEO power is comparatively less for long-tenured CEOs. It implies that managerial ability view is maintained and CEO compensation is influenced by their bargaining power. The results also prove that power premium is more in case of group companies compared to non-group companies. Key words: CEO compensation, rent extraction theory, efficient contracting theory, CEO Power, CEO Tenure, Indian companies.
Size distribution and properties of wheat starch granules in relation to crumb grain score of pup-loaf bread

ABSTRACT Twelve hard winter wheat flours with protein contents of 11.8–13.6% (14% mb) were selected to investigate starch properties associated with the crumb grain score of experimentally baked pup-loaf bread. The 12 flours were classified in four groups depending on the crumb grain scores, which ranged from 1 (questionable-unsatisfactory) to 4 (satisfactory). Flours in groups 1, 2, 3, and 4 produced breads with pup-loaf volumes of 910–1,035, 1,000–1,005, 950–1,025, and 955–1,010 cm3, respectively. Starches were isolated by a dough handwashing method and purified by washing to give 75–79% combined yield (dry flour basis) of prime (62–71%) and tailing (7–16%) starches. The prime starch was fractionated further into large A-granules and small B-granules by repeated sedimentation in aqueous slurry. All starches were assayed for weight percentage of B-granules, swelling power (92.5°C), amylose content, and granular size distribution by quantitative digital image analysis. A positive linear correlation was fo.
Electronic Banking and Profitability in the Nigerian Banking Industry

The primary objective of this study was to assess the impact of electronic banking on profitability in the Nigeria banking industry. An inferential survey research design was adopted. Primary data were collected through questionnaires from both staff and customers of the surveyed bank. It was complemented with secondary data sourced from the company’s audited financial statements for the period 2010 to 2017. Data collected were analyzed using both descriptive and inferential statistics while testing of the hypotheses was done using multiple regression analysis. The study revealed that cards play a significant role more than other channels and immediately followed by ATM. Also, it was observed that E-Banking channels contributed to Bank's profitability, that E-banking services (EBS) had an influence on the retention and loyalty of bank's customers and that the quality of service, security, reliability and efficiency have a definite impact on the usage of the services of e-banking. It was recommended that the Nigerian banking industry should invest more in card products, followed by ATM amongst other electronic channels; as they generate more revenues for the bank. The study also recommended further development of other channels (Mobile, Corporate Payments, POS and internet banking) to further enhance their contribution to the bank's profitability. Nigerian banks should also create a business strategy that is customer-centric by being continuously innovative in identifying the needs of their customers and improving on their products offering while developing new ones, to retain and keep the loyalty of their existing customers while attracting new ones.
Carrier localization in self-organized quantum dots: An interplay between quantum and solid mechanics

Localization of carriers in a self-organized quantum dot is a problem of quantum mechanics to be solved with the localizing potential for electrons and holes determined by the geometry, chemical composition, and built-in mechanical stress–strain field. We show that changes in the aspect ratio of a buried pyramidal quantum dot result in a substantial redistribution of the mechanical field components, which in turn provides certain non-trivial conditions for the strongest carrier localization at any given volume of the quantum dot.
Sympolymnia, a new genus of Neotropical ant-like spider, with description of two new species and indirect evidence for transformational mimicry (Araneae, Salticidae, Simonellini)

Sympolymnia, a new genus of myrmecomorph jumping spider belonging to the tribe Simonellini Peckham, Peckham & Wheeler, 1889, is described. It comprises five species: the type species, Sympolymnia lucasi (Taczanowski, 1871), comb. nov., Sympolymnia lauretta (Peckham & Peckham, 1892), comb. nov., Sympolymnia edwardsi (Cutler, 1985), comb. nov. and Sympolymnia shinahota sp. nov. and S. cutleri sp. nov. Sympolymnia lauretta (Peckham & Peckham, 1892) is recorded from Bolivia for the first time. Ontogenetic shifts of ant-resemblance are observed: Juveniles of S. cutleri sp. nov. and S. lauretta mimic black ants of the genus Crematogaster Lund, 1831, but those of S. shinahota sp. nov. most closely resemble Pseudomyrmex ethicus (Forel, 1911). Adults of S. cutleri sp. nov., S. lauretta and S. shinahota sp. nov. resemble the ant Camponotus sanctaefidei Dalla Torre, 1892 and orange adults of S. shinahota sp. nov. are putative mimics of Camponotus latangulus Roger, 1863.
Removal of Molybdenum(VI) from Raw Water Using Nano Zero-Valent Iron Supported on Activated Carbon

Traces of Molybdenum (Mo) in drinking water pose potent dangers owing to its harmful effects on the health of humans. This study used nanoscale zero-valent iron (Fe0) supported by activated carbon (NZVI/AC) for removing Mo(VI) from raw water. In an attempt to gain an understanding of the various factors that affect the process, we designed the study to look into the impact of various experimental parameters including pH, adsorption kinetics, and coexisting ions on the Mo(VI) removal using fixed-bed column runs and a batch-adsorption method and for Mo(VI) removal using NZVI/AC. The optimum conditions were found to be pH 4.5 and an equilibrium time of 9 h and 72 h for simulation water (SW) and raw water (RW), respectively. The removal of Mo(VI) was remarkably inhibited by the presence of silicate (SiO42−) and phosphate (PO43−), while the impact of humic acid and some other anions was insignificant. Metal cations such as Fe3+, Al3+, Zn2+, and Ni2+ enhanced the adsorption of Mo(VI). The influent contaminant concentration Mo(VI) in raw water was found to be 0.1603 mg/L, the empty-bed contact time (EBCT) was 3 and 6 min, whereas the breakthrough empty-bed volumes were 800 and 1100 and at the value of 70 μg/L provided by WHO provisional guidelines, respectively.
ALKAL1 gene silencing prevents colorectal cancer progression via suppressing Sonic Hedgehog (SHH) signaling pathway

Anaplastic lymphoma kinase (ALK) has been described in a range of human cancers and is involved in cancer initiation and progression via activating multiple signaling pathways, such as the PI3K-AKT, CRKL-C3G, MEKK2/3-MEK5-ERK5, JAK-STAT and MAPK signal pathways. Recently ALK and LTK ligand 1 (ALKAL1) also named “augmentor-β” or “FAM150A” is identified as a potent activating ligands for human ALK that bind to the extracellular domain of ALK. However, due to its poor stability, the mechanisms of ALKAL1 underlying the tumor progression in the human cancers including colorectal cancer have not been well documented. Herein, ALKAL1 expression was evaluated by RNA sequencing datasets from The Cancer Genome Atlas (TCGA) of 625 cases colorectal cancer, immunohistochemical analysis of 377 cases colorectal cancer tissues, and Western blotting even Real-time PCR of 10 pairs of colorectal cancer tissues and adjacent normal tissues, as well as 8 colorectal cancer cell lines. Statistical analysis was performed to explore the correlation between ALKAL1 expression and clinicopathological features in colorectal cancer. Univariate and multivariate Cox regression analysis were performed to examine the association between ALKAL1 expression and overall survival. In vitro and in vivo assays were performed to assess the biological roles of ALKAL1 in colorectal cancer. Gene set enrichment analysis (GSEA), Western blotting and luciferase assays were used to identify the underlying signal pathway involved in the tumor progression role of ALKAL1. As a result, we showed that ALKAL1 was upregulated in colorectal cancer tissues and cell lines. Upregulation of ALKAL1 correlated with tumor malignancy and poor prognosis in colorectal cancer. ALKAL1 silencing inhibited tumorigenesis, metastasis and invasion of colorectal cancer cells, and inhibited SHH signaling pathway, which is essential for ALKAL1 induced migration. Our findings reveal a new mechanism by which ALKAL1 participates in colorectal cancer migration and invasion via activating the SHH signaling pathway.
Investigation of customer churn insights and intelligence from social media: a netnographic research

PurposeThe purpose of this paper is to investigate the distinct reasons and more common reasons that reduce customer satisfaction and are antecedents to customer churn behavior in the telecommunication industry.Design/methodology/approachThe study adopted the netnography approach to investigate churn behavior by utilizing online user-generated content in qualified social media communities.FindingsThe investigation revealed that “data speed issue”, “ineffective relationship building”, “service area coverage issues” and “billing issues” are some of the most important attributes that influence a consumers' decision to churn. Further, the churn consequence influencers model summarizes the attributes that contribute to overall dissatisfaction and finally results in churn behavior. The study found out the application of the netnography approach in a quantitatively dominant research area and stands out with its insights from a rich qualitative data.Practical implicationsProper clarification of customer expectations and pain points can help reduce customer churn. The study will serve as the basis for developing future churn prediction models that will contribute to the informed decision-making process.Originality/valueContributing to research on customer churn behavior, the study offers a novel attempt to study customer satisfaction and customer churn behavior jointly. The paper is the first attempt that contributes to the extant literature by adopting the unique qualitative approach to understand the reasons for telecommunication churn behavior in the emerging Indian market. Another contribution of this research is that the paper shifts the focus of the electronic word-of-mouth (eWOM) literature to the telecommunications industry, thus adding another block to ongoing research in eWOM communication.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/ OIR-02-2020-0048
A Better Medical Interpreting Service

Medical interpreting has become a new research focus in recent decades, but few studies have discussed the role of interpreter in combination with strategies. This paper aims to work out how a medical interpreter plays his or her role and adopts strategies when interpreting between English and Chinese. Based on a first-hand medical interpreting corpus, this empirical study tagged the interpretation and made a detailed analysis of the interpreter’s role and strategies. The results revealed that under the guideline of Goffman’s participation framework theory the medical interpreter facilitated the therapeutic talk via three roles, namely “animator,” “author,” “principal”; for each role, different interpreting strategies, like “supplement,” “omission,” “compression,” etc. were adopted. Moreover, the study found motives behind interpreting strategies under the specific context. The sociological discussions are presented in the hope of enhancing medical interpreters’ understanding of their roles and the importance of adopting more flexible strategies in order to provide better service.
Temperature‐dependent inactivation and catalysis rates of plant‐based ureases for engineered biomineralization

Engineered (bio)mineralization uses the enzyme urease to catalyze the hydrolysis of urea to promote carbonate mineral precipitation. The current study investigates the influence of temperature on ureolysis rate and degree of inactivation of plant‐sourced ureases over a range of environmentally relevant temperatures. Batch experiments at 30°C demonstrated that jack bean meal (JBM) has a 1.7 to 56 times higher activity (844 μmol urea hydrolyzed g−1 JBM min−1) than the other tested plant‐sourced ureases (soybean, pigeon pea and cottonseed). Hence, ureolysis and enzyme inactivation rates were evaluated for JBM at temperatures between 20°C and 80°C. A combined first‐order urea hydrolysis and first‐order enzyme inactivation model described the inactivation of urease over the investigated range of temperatures. The temperature‐dependent rate coefficients (kurea) increased with temperature and ranged from 0.0018 at 20°C to 0.0249 L g−1 JBM min−1 at 80°C; JBM urease became ≥50% inactivated in as little as 5.2 minutes at 80°C and in as long as 2238 minutes at 50°C. The combined urea hydrolysis kinetics and enzyme inactivation model provides a mathematical relationship useful for the design of biomineralization technologies and can be incorporated into reactive transport models.