Miracle-dz/UniFAR-FTUs huggingface dataset:
EMPLOYERS PERSPECTIVE OF THE EMPLOYABILITY SKILLS-GAP IN REAL ESTATE EDUCATION IN NIGERIA

The study examined the skills-gap in real estate education with the aim of identifying the important employability skills that are required for a graduate of Estate Management to excel in the Nigerian real estate industry. Data was collected with the aid of questionnaire survey distribution to one hundred and ninety-eight (198) employers within the study area. One hundred and thirty-one (131) questionnaires were duly filled, returned and considered ideal for the study. Data collected were analyzed with the use of relative importance index and principal component analysis. The study revealed that the most important employability skills from the perspective of the employers include teamwork, written communication, oral presentation, willingness to learn and adaptability. The study recommended that higher institutions of learning should adopt the University-Industry based approach so as to foster a good relationship between the employers and the academia.
An active learning Kriging-based method combining the weight information entropy function and the adaptive candidate sample pool

The reliability analysis methods based on the Kriging model have been explored to update the design of experiments (DoE), but the number of calls to the performance function is high. In this paper, a new active learning method combining the weight information entropy function (WH) and the adaptive candidate sample pool is proposed to improve the reliability analysis efficiency. Based on the information entropy function (H), the learning function WH is constructed to consider Kriging variance and the joint probability density function (PDF). In this proposed method, the sample points can be assigned different weight by the learning function WH according to the important degrees of sample points. The point which not only nears the limit state function (LSF), but also has a high probability density function value and large Kriging variance is assigned more weight than others. To select the sample points with lower confidence level, the adaptive candidate sample pool is generated by Markov Chain Monte Carlo (MCMC) simulation. The Kriging model can be updated efficiently by the proposed method. Four numerical examples and an engineering example with implicit performance function are used to verify the efficiency and accuracy of the proposed method. The results show that the proposed method can significantly improve the computational efficiency of the reliability analysis without losing accuracy.
Enhanced body-force propeller model for non-uniform inflow flow and application to turning circle test of KCS in calm water

An enhanced body-force propeller model is developed to consider propulsion effects without solving the actual propeller geometry in ship maneuvering problems. Application to the KCS turning circle test in calm water (starting at the self-propulsion point) is conducted using the computational fluid dynamics solver, snuMHLFoam, which was developed on OpenFOAM-plus. Based on the original Hough and Ordway model, the non-uniform advance velocity of the propeller is considered using the local velocity on the inflow plane, to compute the local advance coefficient for different parts of the propeller disk when the propeller works behind a hull. The original overset algorithm is revised by introducing more flexible hole-patch definitions for the hole-cutting procedure and an iterative procedure for the donor-searching procedure to remove invalid donors. The motion decomposition of ship and rudder motions with the revised overset is implemented in order to handle body motions effectively. Self-propulsion and turning circle tests for KCS ships are successfully conducted in calm water. The predicted results, including the PI control results, turning trajectory and parameters, ship motions and velocities, forces and moments, and flow and vortical structures are illustrated and compared with the benchmark experimental data, as well as the numerical results obtained using the Maneuvering Modeling Group (MMG) model. The results indicate that the developed body-force propeller model can provide more reasonable predictions of the propulsive performance when the propeller works behind a hull. The snuMHLFoam solver, which is coupled with motion decomposition using the revised overset grid methodology, is validated to be effective and reliable.
Deep water sedimentary processes in the Enderby Basin (East Antarctic margin) during the Cenozoic

The thick sequence of mid‐late Cenozoic sediments preserved within the Enderby Basin of the East Antarctica margin contains key information regarding glacial history and palaeo‐oceanographic conditions during the last 34 My. The interplay between glacial processes and ocean circulation can be reconstructed from seismic stratigraphic studies. Here, interpretation of seismic sequences and geomorphology from an extensive 2D seismic dataset (∼75,000 km) are correlated with lithological data of the ODP site 1165 drilled on the continental rise, and used to assess the age and origin of the sediment, and the possible influence of oceanic currents on its distribution. Mapping of seismic units and facies reveals that, in addition to glacial sediments derived from the Antarctic mainland, the upper Cenozoic succession includes drift units with prograding sequences building out from the Mac. Robertson Land margin, west of the Prydz Bay. Three contourite drifts grew on the western side of submarine channels and large sediment wave fields suggest a mixed system of turbidity currents influenced by west‐flowing bottom currents. The drifts are composed of four seismic units representing stages of onset (Lower Oligocene), main growth (Early‐Middle Miocene), maintenance (Middle‐Late Miocene) and burial (Pliocene). The internal geometry and reflection patterns of the drifts imply an intensified current activity from the Early to Middle Miocene. The results plausibly reflect that the formation of proto Antarctic Bottom Water (AABW) started around the Eocene–Oligocene boundary and intensified episodically from the early to middle Miocene.
Recurrent Neural Networks for Pavement Performance Forecasting: Review and Model Performance Comparison

Accurate pavement performance forecasting is critical in supporting transportation agencies’ predictive maintenance strategies: programs that prolong pavement service life while using fewer resources. However, because of the complex nature of pavement deterioration, high accuracy for long-term and project-level pavement performance forecasting is challenging to traditional models. Therefore, researchers have taken advantage of machine learning (ML) technology to create more sophisticated models in recent years. However, there are no extant studies that compare different ML models on a singular, real-world, large-scale, and comprehensive pavement data set to evaluate their capability for pavement performance forecasting. Thus, the goal of this study is to critically evaluate ML models, such as multiple linear regression (MLR), fully connected neural network (FCNN), recurrent neural network (RNN), gated recurrent unit (GRU), long short-term memory (LSTM), and a hybrid LSTM-FCNN model, on Florida’s statewide, 31 year historical pavement data set. The results demonstrate that the RNN, GRU, LSTM, and LSTM-FCNN models perform significantly better than MLR and FCNN for predicting time-series pavement condition, with the LSTM-FCNN model performing the best. This result provides a valuable demonstration and recommendation to transportation agencies and researchers that RNN-based ML models are a promising direction to improve the accuracy of pavement performance forecasting.
Palmar Striated Xanthomas in Clinical Practice

Abstract Context Palmar striated xanthomas (PSX) are macular subcutaneous lesions conferring a yellow-to-orange coloration of palmar and finger creases that characterize dysbetalipoproteinemia, a disease associated with sustained plasma accumulation of triglyceride-rich lipoprotein remnants. Although remnants accumulation may occur in any condition interfering with triglyceride-rich lipoprotein hydrolysis or clearance, the presence of PSX has not been systematically assessed across the spectrum of lipid disorders potentially associated with sustained or recurrent remnants accumulation. Objective The aim of this study was to assess the occurrence of (PSX) in a wide spectrum of lipid disorders ranging from very severe hypercholesterolemia (homozygous familial hypercholesterolemia) to very severe hypertriglyceridemia (chylomicronemia). Methods This study involved 3382 dyslipidemic White adult patients (1856 men and 1526 women) seen at the Chicoutimi Hospital Lipid Clinic (Quebec, Canada), covering a wide range of lipid disorders, from severe hypertriglyceridemia to severe hypercholesterolemia. Categorical variables were compared using the Pearson χ 2 statistic, whereas univariate analysis of variance or nonparametric Kruskal-Wallis was used for continuous variables. Results A total of 5.1% (173/3382) of the studied patients presented PSX, a majority of them (67.1%) being women. PSX were observed in 18.8% of patients with dysbetalipoproteinemia and also among 14.1% of hypertriglyceridemic patients with partial lipoprotein lipase deficiency, 3.7% of patients with chylomicronemia, and in all those with homozygous familial hypercholesterolemia. Overall, 10.7% of patients with PSX did not meet dysbetalipoproteinemia diagnosis criteria. Conclusion According to our study, the PSX prevalence estimate among patients without dysbetalipoproteinemia would be around 10% and they could be observed in a wide spectrum of lipid disorders associated with recurrent or sustained remnant lipoprotein accumulation.
“Terrifying and Exhausting”: Secondary Victimization in Title IX Proceedings at U.S. Higher Education Institutions

Students at United States colleges and universities increasingly turn to campus Title IX processes to address sexual violence, but little research exists on the emotional fallout of Title IX processes and student perceptions of process bias. This paper presents an analysis of 72 responses to a 2021 survey of Title IX process complainants and respondents at higher education institutions. While students on both sides of Title IX processes experienced negative emotions, complainants often minimized these experiences while respondents emphasized them. This form of comparative secondary victimization risks further marginalizing complainant voices at higher education institutions.
Modulation of cisplatin resistance in gastric cancer by LncRNA SNHG15

Background: The role of long non-coding RNA (lncRNA) small nucleolar RNA host gene 15 (SNHG15) in cisplatin-resistance was studied in gastric cancer. Methods: The relative SNHG15 expression and its correlation with survival were assayed on the Cancer Genome Atlas data and confirmed with the clinical samples we collected. Cisplatin-resistant MKN45 cell line (MKN45 CR) was established. SNHG15 plasmid and SNHG15 shRNA plasmid were transfected into MKN45 cells and MKN45 CR cells. Colony formation analysis and cell counting kit-8 assay were utilized to determine cell proliferation and viability. The binding between SNHG15 and zeste 2 polycomb repressive complex 2 subunit (EZH2) was testified with RNA immunoprecipitation (RIP). The promoter activity of phosphatase and tensin homolog (PTEN) was evaluated by luciferase reporter assay. Results: High SNHG15 expression was correlated with the poor overall survival of gastric cancer patients, and cisplatin treatment can induce time and dose-dependent up-regulation of SNHG15. At the same time, SNHG15 overexpression could promote the cisplatin resistance, while SNHG15 inhibition could diminish the cisplatin resistance. RIP assays confirmed the interaction of SNHG15 with EZH2. More importantly, SNHG15 inhibited PTEN promoter activity by reducing EZH2 recruitment in MKN45 CR cells. Conclusion: SNHG15 epigenetically prohibits PTEN expression by recruiting EZH2 in gastric cancer cisplatin-resistant cells.
The fruit glossiness locus, dull fruit (D), encodes a C2H2-type zinc finger transcription factor, CsDULL, in cucumber (Cucumis sativus L.)

Abstract Fruit glossiness is an important external fruit quality trait for fresh-consumed cucumber fruit, affecting its marketability. Dull fruit appearance is mainly controlled by a single gene, D (for dull fruit) that is dominant to glossy fruit (dd), but the molecular mechanism controlling fruit glossiness is unknown. In the present study, we conducted map-based cloning of the D locus in cucumber and identified a candidate gene (Csa5G577350) that encodes a C2H2-type zinc finger transcription factor, CsDULL. A 4895-bp deletion including the complete loss of CsDULL resulted in glossy fruit. CsDULL is highly expressed in the peel of cucumber fruit, and its expression level is positively correlated with the accumulation of cutin and wax in the peel. Through transcriptome analysis, yeast one-hybrid and dual-luciferase assays, we identified two genes potentially targeted by CsDULL for regulation of cutin and wax biosynthesis/transportation that included CsGPAT4 and CsLTPG1. The possibility that CsDULL controls both fruit glossiness and wart development in cucumber is discussed. The present work advances our understanding of regulatory mechanisms of fruit epidermal traits, and provides a useful tool for molecular breeding to improve external fruit quality in cucumber.
Predictive Data Mining Approaches for Diabetes Mellitus Type II Disease

Diabetes is among the major public health problem especially in developing countries which cause by abnormal insulin secretion in human body. It is a common disease that can led to several health complications and mortality. In Malaysia, most of the cases are categorized as Diabetes Mellitus (DM) Type II. Patients with diabetes increases from year to year due to unhealthy lifestyles e.g. smoking, overweight and hypertension. Therefore, this study meant to identify the influential factors that may contribute to DM Type II by comparing the performance of different data mining approaches. Between April 2017 and November 2018, 684 patients from a public clinic participated in this retrospective cross-sectional study. Four predictive models involved in the study are Logistic Regression, Decision Tree, Naïve Bayes, and Artificial Neural Network (ANN). The error measures (Average Squared Error and Misclassification Rate) with ROC Index are used to evaluate the performance of the models. Results show that the performance of Logistic Regression-Stepwise outperformed to other predictive models with classification accurateness of 73% and able to predict positive outcome (Y=1) correctly by 90%. The significant inputs that affect DM Type II prediction (Y=1) are Hypertension and Glycated Hemoglobin (HbA1c) given the Root Mean Squared Error (RMSE) of model is 0.424. The importance of study may be able to contribute in improving the strategies and planning on diabetes diseases in Malaysia.
The Role Of Corporate Governance And Tax Risk In Indonesia Investor Response To Tax Avoidance And Tax Aggressiveness

This study examines the effect of tax avoidance and tax aggressiveness on firm value. Besides, this study also analyzes the moderating role of tax risk and corporate governance in this relationship. This study employs secondary data from financial reports and stock price information at www.idnfinancials. com and www.yahoo. finance.com. The sample utilized in this study is Indonesian manufacturing companies from 2016 to 2019. Using purposive sampling, the sample obtained in the study is 260 observations. Data were analyzed employing multiple linear regression for panel data. This study suggests that tax avoidance is positively associated with firm value, while tax aggressiveness is negatively associated. Also, tax risk and corporate governance can reduce the positive effect of tax avoidance on firm value. Furthermore, tax risk and corporate governance can reduce the negative impact of tax aggressiveness on firm value. This study indicates that investors need to pay attention to companies' information to the public. Besides, the Financial Services Authority needs to improve governance policies for companies listed on the Exchange to support Indonesia's investors' protection.
Studying the Islamic lifestyle and academic success of Russian Muslim students

for themselves are deeply related to their success in life. Therefore, the present study aimed to evaluate the effect of the Islamic lifestyle on the academic success of Russian Muslim students in 2021. In total, 2000 graduate students of Kazan, Russia were studied in this research. According to the results of mean analysis in SPSS, the academic success of the students who followed the Islamic lifestyle was reported to be higher than the mean level (more than 3 out of 5). Furthermore, according to the Structural Equation Modeling in LESREL, the Islamic lifestyle has a positive significant effect on the students’ academic success ( p -value: 0.83; t -value: 7.92). Contribution: Amongst the various factors that can influence students’ academic success, the current research focused on the Islamic lifestyle. The findings of the present study offered a new insight into the relationship between the Islamic lifestyle and academic success in Russia.
The Use of Hemispherical Directional Reflectance to Evaluate the Interaction of Food Products with Radiation in the Solar Spectrum

Food product packaging should block light to protect nutrients, color and active ingredients in functional food from degradation. Currently, packages are not optimized in terms of the solar radiation impact on the products they contain. The aim of this study was to develop a method of quantifying the interaction of food products with solar radiation, which would enable the optimization and selection of packaging that would protect the product from the spectral range specifically absorbed by it. In order to determine the reflectance of chocolate, the total reflectance ratio was measured. For this purpose, a SOC 410 Solar DHR reflectometer from Surface Optics Corporation, San Diego, CA, USA was used. Directional reflectance was measured for seven discrete spectral ranges from 335 to 2500 nm, which correspond to the spectrum of solar radiation. The value of total reflectance for chocolate differed significantly in the studied spectral ranges. The highest reflectance ratio, averaged for all the tested chocolate, was recorded for the spectral range 700–1100 nm and the lowest for the 335–380 nm range. The total reflectance was significantly correlated with the cocoa content and the brightness of the chocolate. The proposed method of hemispheric directional reflectance enables the measurement of the total reflectance of food products. It can be used as a measure of exposure to radiation. Thus, it is possible to design a package that will protect the product from the spectral range that is most harmful for it.
Effect of Biochar Application to Fertile Soil on Tomato Crop Production under Saline Irrigation Regime

Biochar application is a promising sustainable strategy for enhancing soil properties thus crop production. However, biochar application to soil certainly alters its biological and physical properties, and could require extra costs. Therefore, biochar suitability to agroecosystems must be proactively estimated. The advantage of biochar addition to poor fertile or weathered soils has been well studies, however, its feasibility to fertile soil under low quality (saline) irrigation water was not frequently studied. Consequently, this work investigates the hypothesis of whether the application of biochar at a rate of 4.8 tons/ha to fertile soil (Nile Valley, Giza, Egypt) would ameliorate the negative effects of saline irrigation regime (3000 ppm) on tomato crop and soil. The results of two seasons experiments showed that saline irrigation significantly reduced tomato crop yield by an average reduction ratio of 51%, and biochar addition could not compensate such reduction. Furthermore, biochar did not reduce accumulated Na+ in fruits or roots. Tomato fruits produced from biochar-added soil were lower in TSS levels (41.7% reduction ratio) yet larger in diameter by approximately 1.5-fold increase. Interestingly, biochar addition into soil greatly promotes the length of stem-borne lateral roots and elevates the expression of LeNR (encodes nitrate reductase enzyme) in leaves yet under fresh irrigation regime. For soil properties, biochar application enhanced the soil properties under either saline or fresh water irrigation conditions. Collectively, it is assumed that biochar application to fertile soil in Nile Valley of Egypt could not alleviate tomato fruits yield reduction affected by applied saline irrigation regime.
Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image

Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.
Sheilas and the Beeb: How the BBC provided liberating pathways for ABC women in the early years of television

This article discusses the important role the BBC played in advancing the careers of ABC women in the post-war era. Adopting an integrated, transnational approach, it revisualises the British broadcasting empire from a dominion perspective, a gendered perspective. This research follows ABC television producers as they undertook transformative, transnational excursions and recognises the necessary mobility, flexibility and ingenuity women activated in order to succeed. It identifies how they exploited the imbalanced dominion dynamic and strategically used their BBC experiences to counteract the compromising gender constraints of their local production environments.
The effects of Chinese and English background music on Chinese reading comprehension

The study investigated the influence of the language of background music with lyrics (Chinese and English) on Chinese reading comprehension after controlling for English listening proficiency. A total of 38 Chinese English learners from a university were enrolled in a within-subject design experiment. All participants were exposed to three background conditions: silence, English background music with lyrics (EL-BGM), and Chinese background music with lyrics (CL-BGM). The results showed that participants’ Chinese reading performance was negatively influenced by EL-BGM, with significantly lower reading efficiency and reading rate. Participants with better English listening ability had higher Chinese reading efficiency under the EL-BGM condition. Possible explanations for these findings in terms of the interference-by-process hypothesis, the attentional capture account, and the duplex-mechanism account are discussed.