Miracle-dz/UniFAR-FTUs huggingface dataset:
Career Competencies and Job Performance of Saudi Employees in Tourism Industry: Intelligent Career Model

Tourism industry is one of the most growing sectors that contributes significantly to Gross World Product (GWP), employment opportunities, and local culture. Saudi Arabia has witnessed a growing number of hotel projects of new international chains and domestics hotels. Studies relevant to career competencies topics are relatively scarce among the first-line staff in Saudi’s hotels industry. This study seeks to examine the relationship between career competencies and job performance among frontline staffs at luxury, mid and upper mid-scale hotels in Riyadh and Makkah regions of Saudi Arabia. This study used online questionnaire method and was sent to 700 different hotels with a response rate of 76% (n=499). Partial least squares structural equation modeling (PLS-SEM) was used for data analysis. Results showed that reflective, communicative, and behavioral career competencies have a statistically significant positive influence on individual work performance with values of (B=0.3, p<0.01), (B=0.34, p<0.01), and (B=0.21, p<0.01) respectively. A number of practical implications along with the research limitations were discussed.
Evidence of Copper and Iron Deposits of the Protohistoric City of Temesa

With the name ‘Temesa’ (Latin Tempsa), the ancients identified a settlement located along the Tyrrhenian coast of Calabria, cited by sources as an international metal exchange emporium. The town is mentioned by Homer as being famous in the ancient world for the production of bronze, and in the I century A.D. Strabo wrote that there were rich copper mines near the city. Many years of study led to the recognition of Temesa as a complex urban system located between the Oliva and Savuto rivers, near Amantea. To confirm this hypothesis, we searched, in the surrounding rocky outcrops, for the presence of minerals useful for the extraction of iron and copper. Samples of 3 different rock stratifications were taken near the protohistoric settlement of Serra Aiello. The observation under an polarized reflected light microscope and the X-ray diffraction patterns revealed the presence of many minerals useful for the extraction of iron and copper in every sample. The heating of samples under both oxidizing and reducing conditions helped us to better quantify copper and iron minerals content causing, at the same time, the appearance of a marked paramagnetic behavior that could be associated with the presence of goethite. X ray fluorescence analysis showed a high concentration of iron and a low copper content.
Applying a gender lens to biodiversity conservation in High Asia

Community-based conservation efforts represent an important approach to facilitate the coexistence of people and wildlife. A concern, however, is that these efforts build on existing community structures and social norms, which are commonly dominated by men. Some biodiversity conservation approaches may consequently neglect women’s voices and deepen existing inequalities and inequities. This paper presents two community case studies that draw upon the knowledge and experience gained in our snow leopard conservation practice in pastoral and agro-pastoral settings in Mongolia and India to better understand women’s roles and responsibilities. In these settings, roles and responsibilities in livestock management and agriculture are strongly differentiated along gender lines, and significant gaps remain in women’s decision-making power about natural resources at the community level. We argue that context-specific and gender-responsive approaches are needed to build community support for conservation actions and leverage women’s potential contributions to conservation outcomes.
Recent Developments and Perspectives of Cobalt Sulfide-Based Composite Materials in Photocatalysis

Photocatalysis, as an inexpensive and safe technology to convert solar energy, is essential for the efficient utilization of sustainable renewable energy sources. Earth-abundant cobalt sulfide-based composites have generated great interest in the field of solar fuel conversion because of their cheap, diverse structures and facile preparation. Over the past 10 years, the number of reports on cobalt sulfide-based photocatalysts has increased year by year, and more than 500 publications on the application of cobalt sulfide groups in photocatalysis can be found in the last three years. In this review, we initially summarize the four common strategies for preparing cobalt sulfide-based composite materials. Then, the multiple roles of cobalt sulfide-based cocatalysts in photocatalysis have been discussed. After that, we present the latest progress of cobalt sulfide in four fields of photocatalysis application, including photocatalytic hydrogen production, carbon dioxide reduction, nitrogen fixation, and photocatalytic degradation of pollutants. Finally, the development prospects and challenges of cobalt sulfide-based photocatalysts are discussed. This review is expected to provide useful reference for the construction of high-performance cobalt sulfide-based composite photocatalytic materials for sustainable solar-chemical energy conversion.
Analytical Modeling of Source-to-Drain Tunneling Current Down to Cryogenic Temperatures

The subthreshold swing (SS) of MOSFETs decreases with temperature and then saturates below a critical temperature. Hopping conduction via the band tail has been proposed as the possible cause for the SS saturation. On the other hand, numerical simulations have shown the source-to-drain tunneling (SDT) current limits the SS at low temperatures. It has been argued which transport mechanism dominates the cryogenic subthreshold current. Hence, for the first time, this letter presents an analytical model of the SDT current and the corresponding SS, which is validated by cryogenic measurement on devices from an advanced 16 nm FinFET technology.
Some Monte Carlo Evidence on the Relative

One of the most common practical problems in statistics and econometrics is the estimation of linear regression models with heteroscedastic errors. This article reports the results of a Monte Carlo comparison of various parametric and semiparametric estimated generalized least squares (EGLS) estimators. In small-sized (20) and sometimes medium-sized (50) samples, ordinary least squares dominated the other techniques for low levels of heteroscedasticity. In mediumsized samples, correctly specified EGLS dominated with moderate and large levels of heteroscedasticity. Apart from correctly specified EGLS, a semiparametric approach generally dominated in the medium-sized samples with moderate and large amounts of heteroscedasticity. An additional result is that an incorrectly specified EGLS estimator could, in small samples, yield more precise estimates than the other EGLS techniques. For each of the feasible parametric and semiparametric techniques considered, the usual standard errors and heteroscedasticityconsistent standard errors understated the sample variability of the estimators.
Symptomatic Brain Radiation Necrosis in an Anaplastic Lymphoma Kinase (ALK)-Positive Non-small Cell Lung Cancer (NSCLC) Patient After Fractionated Stereotactic Radiotherapy While on Alectinib

Anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) has a higher incidence of brain metastasis. Despite having a favorable prognosis and relatively long survival with second-generation ALK tyrosine kinase inhibitors (TKI), patients can have substantial morbidity, negatively affecting functional progression-free and symptom-free survival. Studies have shown that ALK-rearranged NSCLC is a risk factor for developing radiation necrosis (RN). Recently, second-generation TKI, especially lorlatinib, alectinib, and brigatinib, have demonstrated good central nervous system (CNS) penetration and overall response rates in patients with brain metastasis. However, to improve overall outcomes in symptomatic or limited brain metastases, stereotactic radiosurgery (SRS) is increasingly preferred over whole brain radiotherapy (WBRT) prior to systemic therapy to avoid significant cognitive deterioration. To improve the therapeutic ratio, fractionated stereotactic radiotherapy (FSRT) has been explored for brain metastasis. Herein, we report on one ALK-rearranged NSCLC patient who developed RN despite FSRT, one year after the completion of radiotherapy while on alectinib.
Macrophages CD163+ and Factor XIIIa+ Provide a First-Line Defence against Proliferative Verrucous Leukoplakia Antigens

This study aimed to evaluate the density of the dendritic cells (DCs) and macrophages in oral leukoplakia (OL) and proliferative verrucous leukoplakia (PVL) by immunohistochemical analysis. We analysed paraffined tissue samples of PVL (n = 27), OL (n = 20), and inflammatory fibrous hyperplasia (n = 20) as the control group using the immunomarkers for DCs (CD1a, CD207, CD83, CD208 and CD123) and macrophages (CD68, CD163, FXIIIa and CD209). A quantitative analysis of positive cells in the epithelial and subepithelial areas was determined. Our results showed a reduction in CD208+ cells in the subepithelial area of the OL and PVL compared to the control. Additionally, we found a higher density of FXIIIa+ and CD163+ cells in the subepithelial area in PVL compared to the OL and control. Four-way MANOVA revealed a relationship between increased CD123+ cell density in the subepithelial area of “high-risk” samples regardless of disease. Macrophages provide the first line of defence against PVL antigens, suggesting a distinct pattern of innate immune system activation in PVL compared to OL, which may contribute to the complexity and the high rate of malignant transformation in the PVL.
Predictive Quality in Production

Aufgrund der steigenden Komplexität moderner Anlagen, bei gleichzeitiger Zunahme der Datenmenge, werden eine effiziente Produktionsplanung und -überwachung immer wichtiger. Das frühzeitige Erkennen von Qualitätsproblemen in Fertigungsprozessen spielt hierbei eine große Rolle. Während in der Vergangenheit Experten dazu in der Lage waren, wird diese Aufgabe künftig immer mehr durch intelligente Assistenzsysteme unterstützt werden. Methoden des maschinellen Lernens sind mittlerweile sehr gut in der Lage, Daten im Kontext einer Zeitreihe zu analysieren und Vorhersagen zu treffen. Die Komplexität des Datensatzes bestimmt dabei die Architektur der Wahl. Insbesondere die Korrelation vergangener Daten mit dem zu vorhersagenden Ereignis, kann hohe Ansprüche an das Modell stellen. Je nachdem, wie weit diese Korrelation in die Vergangenheit zurückreicht, kommen Architekturen in Frage, die über ein mehr oder weniger gutes „Gedächtnis“ verfügen.
Deep feature fusion and optimized feature selection based ensemble classification of liver lesions

ABSTRACT Classification of liver abnormalities is crucial for the early identification of liver cancer. In clinical settings, radiological professionals typically make diagnoses manually which is subjective, time-consuming and vulnerable to error. Therefore, there is still a demand for precise classification of liver diseases. We propose an Ensemble learning-based classification model to classify liver lesions on CT images. To excerpt all the essential facts from the image, deep feature fusion is incorporated by concatenating the features from pre-trained deep CNN models densenet201 and InceptionResnetV2. To minimize the feature space and boost classification accuracy, hybrid optimization methodologies, Genetic Algorithms and Ant Colony Optimization are applied. Finally, a Heterogeneous Ensemble classifier divides the retrieved features into four groups (liver abscess, liver cirrhosis, hepatocellular carcinoma, and metastasis). It is clearly seen and observed that 98.3% accuracy is contributed by ensemble classifier with the support of concatenated deep features and this classifier excels in all other ways and means.
Fast and highly resolved capture of the joint spectral density of photon pairs

Controlling the spatial and spectral–temporal properties of photon pairs produced in artificially structured materials is fundamental to the realization of numerous photonic quantum information applications. Tailoring the joint spectral properties of photon pairs is of particular importance for applications relying on time–energy entanglement, high-visibility interference, and heralding. Yet measuring the joint spectral properties is a time-consuming task requiring coincidence counting, typically resulting in low-resolution spectra with a poor signal-to-noise ratio. In this work we capture the joint spectral correlations of photon pairs that would be produced in optical fibers with unprecedented speed, resolution, and signal-to-noise ratio, using a scheme based on stimulated four-wave mixing. We also illustrate that this technique can be used in engineering joint spectral correlations, making it a powerful tool for studying quantum states.
An isogeometric discontinuous Galerkin method for Euler equations

An isogeometric discontinuous Galerkin method for Euler equations is proposed. It integrates the idea of isogeometric analysis with the discontinuous Galerkin framework by constructing each element through the knots insertion and degree elevation techniques in non‐uniform rational B‐splines. This leads to the solution inherently shares the same function space as the non‐uniform rational B‐splines representation, and results in that the curved boundaries as well as the interfaces between neighboring elements are naturally and exactly resolved. Additionally, the computational cost is reduced in contrast to that of structured grid generation. Numerical tests demonstrate that the presented method can be high order of accuracy and flexible in handling curved geometry. Copyright © 2016 John Wiley & Sons, Ltd.
Static Cosmology from Chaos-Borne Hubble Law

A distance-proportional light-ray expansion in the cosmos was empirically discovered by Slipher and Hubble in the early 20th century, as is well known. A recent classical-mechanical finding, Fermi deceleration, implies a classical light-ray expansion and Hubble-like law. The magnitude of the effect appears to be competitive with the space-expansion paradigm of the big-bang cosmology. Therefore some old and new questions concerning the size and the age of the cosmos arise. An early result of Mandelbrot’s - fractality of the cosmos - offers itself as a corollary. So does a Hawking-type hypothesis of void-induced particle acceleration. A current empirical quandary - existence of ”too old” early galaxies - supports the prediction of a much larger and older cosmos. So does Riccardo Giacconi’s preliminary finding of ultrahigh-redshift x-ray point sources. The proposed new synthesis sees itself in the tradition of the Peebles school.
The Boussinesq-Rayleigh series for two-dimensional flows away from boundaries

The Boussinesq-Rayleigh series solutions of the unsteadyNavier-Stokes equations are computed symbolically in twodimensions. For finite Reynolds numbers, a nonlinear system ofdifferential recurrent relations admits two formal solutions: ageneral solution for flows forced by the dynamic pressure and ageneral solution for freestreams. For generating functions, whichare bounded together with their derivatives, the absoluteconvergence of the series solutions is shown symbolically byconverting the differential recurrent relations into tensorrecurrent relations and using the comparison and ratio tests. Atriangular structure of three-dimensional tensors of derivativesemployed in the tensor recurrent relations is obtained byinduction. A detailed examination of four basic forced flows andfour basic freestreams shows that the formal series solutions awayfrom boundaries are nonlinear superpositions of the Stokes flow, the Bernoulli flow, the Couette flow, and the Poiseuille flow thatare unsteady, two-dimensional continuations of the classicalsolutions at high Reynolds numbers. A tensor algorithm fornumerical evaluation and continuation of the series solutions isimplemented by parallel computing. Emergence of multi-scalecoherent structures of the Poiseuille flow at high Reynoldsnumbers is tackled by using multivalued contours of the streamfunction.
Associations of Eliminating Free-Stall Head Lock-Up during Transition Period with Milk Yield, Health, and Reproductive Performance in Multiparous Dairy Cows: A Case Report

The objective of this retrospective case study was to understand the effects of eliminating free-stall lock-up time during 21 days postpartum on milk yield, reproductive performance, and health events at a large dairy herd. A group of 200 cows were selected as the treatment (TRT) group, which did not receive a lock-up time during early lactation, and a separate group of 200 cows served as the control (CON) group, which received on average 2 h/day of lockup time. The TRT group had greater milk yield (mean ± SE) on the third monthly milk test day (33.1 ± 0.75 vs. 29.9 ± 1.22; p = 0.04) and tended to have greater milk yield on the second test day (38.3 ± 1.55 vs. 39.1 ± 0.79; p = 0.06) compared to the CON cows. Milk fat% (mean ± SE) was greater in the TRT group than in the CON group on the first monthly milk test (3.65 ± 0.06 vs. 3.31 ± 0.12, p = 0.01). The TRT group had lower linear somatic cell scores on the first monthly milk test day compared to the CON group (2.6 ± 0.24 vs. 3.2 ± 0.11; p = 0.01). Cows in the TRT group had lower days in milk at first breeding (DIMFB) (66.2 ± 3.7 vs. 76.7 ± 2.9; p = 0.02) and were confirmed pregnant earlier as indicated by smaller days in milk to pregnancy (DIMPREG) (96.9 ± 12.32 vs. 112.1 ± 5.5; p < 0.01). Cows in the TRT group also had fewer incidences of all health events combined (13% vs. 30.5%; p < 0.001), lameness (3% vs. 9.5%; p = 0.01), and mastitis (3% vs. 16%; p < 0.001). We conclude that eliminating the stall lockup may have contributed to the increased milk yield, health, and reproductive performance of dairy cows in this dairy herd. Future prospective cohort studies are needed to further assess the potential effect of eliminating lock up time on cow performance.
Patient satisfaction with medication in rheumatoid arthritis: an unmet need

Introduction Shared decision-making between rheumatologists and patients has become an overarching principle in current treatment recommendations in rheumatoid arthritis (RA). Therefore, in the present study, we aimed to assess the satisfaction of patients with RA with their treatment and to investigate the associated factors. Material and methods A cross-sectional study was carried out in the Rheumatology Department of Mongi Slim Hospital. We included adults with RA receiving their current disease-modifying anti-rheumatic drugs for at least 12 months. Satisfaction among patients was assessed by the Treatment Satisfaction Questionnaire for Medication (TSQM) and it was defined by a score ≥ 80%. The factors indirectly influencing patient satisfaction that were assessed were: satisfaction with medical care management, disease activity, functional impact, professional impact, and the impact of RA. Multivariable regression analysis was applied to determine the predictors of satisfaction. Results We included 70 patients (63 female/7 male) with a mean age of 57.8 ±10.6 years. The mean disease duration was 13.71 ±7.2 years. Mean TSQM scores were 65.42 ±14.77 for convenience, 68.71 ±18 for effectiveness, 70.60 ±24.5 for side effects, and 67.95 ±17.10 for global satisfaction. Satisfaction rates were: 20% for convenience, 39% for effectiveness, 46% for side effects and 30% for global satisfaction. In multivariable analysis, the predictors of global dissatisfaction were Rheumatoid Arthritis Impact of Disease (RAID) overall score (p = 0.003) and the degree of physical difficulties (p = 0.001). Satisfaction with the physician was correlated with better global satisfaction (p = 0.029). Difficulties in adapting to RA (p = 0.043) and current treatment with biologics (p = 0.027) were predictors of dissatisfaction with convenience. Predictors of dissatisfaction with efficiency were the RAID overall score (p = 0.032) and the difficulties of adapting to RA (p = 0.013). The predictors of satisfaction with side effects were a lower degree of interference with domestic work (p = 0.02) and better involvement of the patient in the treatment decision (p = 0.014). Conclusions The satisfaction with the attending physician, the participation in the treatment decision, and the impact of RA seem to influence treatment satisfaction the most. These data suggest that a better understanding of patients’ medical needs and preferences would improve satisfaction outcomes.
Editorial: Advances in the treatment of chronic myeloid leukemia

COPYRIGHT © 2023 Eşkazan, Kok, Yeung, Dalal and Tiribelli. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. TYPE Editorial PUBLISHED 09 March 2023 DOI 10.3389/fonc.2023. 1166588
Association between serum manganese and serum klotho in a 40–80-year-old American population from NHANES 2011–2016

Objectives: Manganese is one of the essential trace elements that are required by the human body. Klotho protein is a classic anti-aging marker. The association between the levels of serum manganese and serum klotho in individuals between the ages of 40–80 in the United States remains unclear. Methods: Data for this cross-sectional study was obtained from the National Health and Nutrition Examination Survey (NHANES 2011–2016) in the United States. We performed multiple linear regression analyses to investigate the association between the levels of serum manganese and serum klotho. Furthermore, we performed a fitted smoothing curve according to a restricted cubic spline (RCS). Stratification and subgroup analyses were performed for further verification of the results. Results: Weighted multivariate linear regression analysis showed that serum manganese levels were independently and positively associated with serum klotho levels (β = 6.30, 95% confidence interval: 3.30–9.40). Kruskal–Wallis test showed that participants with higher manganese quartiles had higher serum klotho levels (Q1: 808.54 ± 256.39 pg/mL; Q2: 854.56 ± 266.13 pg/mL; Q3: 865.13 ± 300.60 pg/mL; and Q4: 871.72 ± 338.85 pg/mL, p < 0.001). The RCS curve indicated that the association between the levels of serum manganese and serum klotho was non-linear. Furthermore, a significantly positive association was found between serum manganese and serum klotho levels in the majority of subgroups. Conclusion: A non-linear and positive association was found between the levels of serum manganese and serum klotho in individuals aged 40–80 in the United States according to the NHANES (2011–2016).