Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression, polymorphism of IRF5 gene and association with serum cytokine levels in pig

Abstract Interferon regulatory factor 5 (IRF5) gene is a crucial transcription factor in immune system and has shown its functionally diverse roles in the regulation of antiviral responses. Previous study revealed the IRF5 gene resides in the reported quantitative trait locus (QTLs) for cytokine levels. In this report, the porcine IRF5 gene was selected to investigate its effect on cytokine level in serum. The mRNA expression of IRF5 was also detected by real time quantitative PCR and the results revealed that IRF5 mRNAs were widely expressed in all analysed tissues except muscle. A genomic variant (g.10764 T > C) in exon 7 of the IRF5 gene was identified by direct sequencing, and then the SNP was genotyped by MALDI-TOF MS assay method in three pig populations. The further association analysis indicated that the SNP was significantly associated with the level of interferon-γ (day 20), interleukin 10 (day 35) and ratio of interferon-γ/interleukin 10 (day 35) in serum (p < .05). An interferon known to be key in immune processes. These results suggested that IRF5 could serve as a promising candidate gene for pig disease resistance breeding.
CHARACTERISTICS, NUTRITIVE VALUE AND ANTIOXIDANT CONTENT OF THE LIBYAN ENDEMIC (Arbutus pavarii Pamp.) STRAWBERRY TREE FRUITS

Arbutus pavarii Pamp. (Ericaceae) is one of the endemic species in Libya. Samples of the non-ripened and ripened fruits of Arbutus pavarii Pamp. were collected from its natural habitat (El-Gabel El-Akhdar, Libya). Fruit characters like fruit size, weight, fruit mass and seeds per fruit were estimated. The vitamin content of A, C and E was estimated using different methods. The total phenolic and flavonoids content of the fruits was determined spectrophotometrically. The antioxidant activity was assessed using a modified quantitative (DPPH) assay at two maturation stages of fruits (green and red). The results were discussed according to the nutritional value of the fruits.
Herding in Fast Moving Consumer Group Sector: Equity Market Asymmetry and Crisis

This study empirically examines herd behavior for fast moving consumer goods (FMCG) sector stocks under varied market return conditions and the period during the global financial crisis and its aftermath. We examine the sample of stocks trading on the Nifty FMCG Index of the Indian equity market from January 2008 up to December 2018 using the dispersion measure of cross sectional absolute deviation and examine its relationship with the market return to explore herd phenomenon. Quantile regression estimate is used and the results of the study validate rational asset pricing models as the sector does not display herding. In contrast, anti-herd behavior at lower and median quantile values is observed. A possible reason can be the non-cyclical nature of the industry where investors rely more on the fundamentals rather than crowd chasing. We also findthe absence of herd phenomenon during the market asymmetries of bull and bear phases, extreme movements, the period of the global financial crisis, and afterward. We further examine herding under the impact of the information technology (IT) industry and conclude that significant return movements in IT sector impact dispersions in the FMCG industry. Also, there is a co-varying risk between the two sectors confirming the spillover in an integrated market.
The Effect of Amending Soil with Waste Elemental Sulfur on the Availability of Selected Macroelements and Heavy Metals

Elemental sulfur of waste origin may be a valuable sulfur source for plants. However, assessing the suitability of environmental use of a waste material should confirm there is no harmful effect of the material on soil environment. The purpose of the incubation experiment was to assess the availability of selected elements (P, K, Ca, Mg, Fe, Mn, Zn, Cu, Cr, Ni, Pb, Cd) in soils supplemented with waste elemental sulfur. The research was conducted on two soils: light and heavy, and with three sulfur doses applied to each soil. Available forms of elements in the soils were extracted 60 days after the waste introduction, with three reagents: 0.01 mol L−1 CaCl2, Mehlich 3 and 1 mol L−1 HCl. Additionally, to determine the impact of the introduced sulfur on soil acidification, soil pH was periodically checked during the experiment. The sulfur addition intensified acidification of the light soil, and, to a lesser extent, of the heavy soil. The acidifying effect was stronger when the sulfur dose was higher. The content of available forms of elements in the soils depended mainly on the strength of the used extractants (generally, the highest amounts were extracted with 1 mol L−1 HCl and the lowest with 0.01 mol L−1 CaCl2). The effect of sulfur introduction on element availability was small. No harmful effect on element availability in soils was stated.
Influence of SiO2, Al2O3, CaO, and Na2O on the elevated temperature performance of alkali‐activated treated palm oil fuel ash‐based mortar

The mechanical, physical, and chemical changes due to oxides molar ratios (SiO2/Al2O3 and SiO2/CaO), and various Na2O concentrations of treated palm oil fuel ash (TPOFA)‐based alkali‐activated mortar (AAM) after being exposed to different elevated temperatures up to 1,000°C were investigated. The source materials (SMs) and alkaline activator (AA) were used as the main base material to produce the AAM. The SMs consist of TPOFA with and without mineral additives (Ca(OH)2, Al(OH)3, and silica fume (SF)). The AA was characterized by various Na2O concentrations of 7.1, 6.0, and 5.5% relative to the AAB weight. The results indicated that the relative compressive strength (CS) improved significantly from 9.20 to 34.62% after being exposed to 800°C. This was mainly due to the decrease in the total oxide's ratio of SiO2/Al2O3 and SiO2/CaO from 14.84 and 6.98% to 4.27 and 2.03%, respectively. The relative CS has increased from 0.0 to 101.38% after exposed to 1,000°C when Na2O concentration reduced from 7.1 to 5.5%. This was due to the formation of more N–A–S–H and C–A–S–H gel binders as indicated at 28 days, which were transformed to nepheline (NaAl(SiO4)) and wollastonite (CaSiO3) phases after exposure to 800°C and 1,000°C, respectively.
Assessing the Efficiency of a New Gasoline Compression Ignition (GCI) Concept

A practical Gasoline Compression Ignition (GCI) concept is presented that works on standard European 95 RON E10 gasoline over the whole speed/load range. A spark is employed to assist the gasoline autoignition at low loads; this avoids the requirement of a complex cam profile to control the local mixture temperature for reliable autoignition. The combustion phasing is controlled by the injection pattern and timing, and a sufficient degree of stratification is needed to control the maximum rate of pressure rise and prevent knock. With active control of the swirl level, the combustion system is found to be relatively robust against variability in charge motion, and subtle differences in fuel reactivity. Results show that the new concept can achieve very low fuel consumption over a significant portion of the speed/load map, equivalent to diesel efficiency. The efficiency is worse than an equivalent diesel engine only at low load where the combustion assistance operates. In this work, a detailed, dynamic longitudinal simulation model was created that allows accurate CO2 emission and fuel consumption predictions for a typical C-segment vehicle in the New European Drivecycle (NEDC), Worldwide Harmonized Light-Duty Test Cycle (WLTC) and Real Driving Emissions (RDE) driving cycles. Modelling and simulation were performed in the GT-Suite simulation environment. The vehicle simulation for the NEDC with its low load demand shows that the outstanding fuel consumption at higher engine loads is more than compensated by the poor efficiency at lower engine loads. For the WLTC and RDE cycles, the fuel consumption improves relative to the NEDC due to the higher average load. In order to take better advantage of the GCI concept’s performance at high loads, a virtual engine map for a 4-cylinder engine was also created that is capable of running in cylinder deactivation mode. Avoidance of low-load operating points in this way leads to a significant improvement in cycle efficiency © 2020 Concawe. Published by SAE International. This Open Access article is published under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0), which permits noncommercial use, distribution, and reproduction in any medium, provided that the original author(s) and the source are credited. Downloaded from SAE International by null, Wednesday, January 06, 2021
Dictionary lookup with one genome evolution operation

Given an m‐length query string q, approximate dictionary lookup searches for strings in a string dictionary D at a distance of 1 to q under some distances. In biological retrieval systems, the distances in such queries are defined by evolution operations on genomes. We consider the approximate dictionary lookup with one genome evolution operation including reversal and transposition, which searches for strings in D that can be generated from q by one reversal or one transposition. When the length of the reversed substring is confined to a constant α>1, we propose an O(m)‐time approach which uses O((|D|−αd)log|D|) bits space, where the dictionary D has d strings with totally |D| symbols. If the lengths of the reversals are in a range [α,β], the time for query is O((β−α+1)mloglog|D|+occ) , and the space is O(|D|logε(|D|)) words for any constant ε, in which occ is the number of matched strings. For problems allowing one transposition, when the length of the transposition is fixed to α, the time for a dictionary lookup is O(αmloglog|D|+occ) , while using O(|D|logε(|D|)) words. In the case that the two swapped substrings are of the same length, the time for answering the query is O(m), while the space is O((|D|−αd)log|D|) bits.
Clinical Evaluation of Wear Behavior of Human Enamel and Chipping of Veneered Zirconia against Monolithic Zirconia (Randomized Controlled Clinical Trial)

Objective: To evaluate the wear behavior of human enamel and chipping of veneered and monolithic zirconia for posterior full coverage restorations. Material and methods: Thirty-four zirconia full coverage restorations (seventeen in each group) were fabricated. The patients were divided into two groups according to the type of zirconia used; group 1 (comparator group) veneered zirconia crowns and group 2 (intervention group) monolithic zirconia single crowns. All crowns were lab fabricated and polished. For opposing teeth wear measurements 3D non-contact profilometer was used where epoxy resin replicas were constructed for opposing arch immediately after crowns cementation, three, six and twelve months. Restoration chipping was measured using modified United States Public Health Services (USPHS) criteria. Results: All restorations were reported as alpha with no chipping. There was no statistically significant difference between (Group 1) and (Group 2) for wear test. Conclusion: Both monolithic and veneered restorations revealed satisfactory mechanical properties with no chipping after one year of clinical use. Wear of opposing enamel was clinically acceptable for both materials. Keywords Ceramics; Chipping; Monolithic zirconia; Veneered zirconia; Wear.
Accurate characterization of full pore size distribution of tight sandstones by low‐temperature nitrogen gas adsorption and high‐pressure mercury intrusion combination method

The full pore size distribution represents the integrated characteristics of micro‐nano pore‐throat systems in tight reservoirs. And it involves experiments of different scales to fully analyze the microscope properties. In this paper, we established a new approach for full pore size characterization through conducting the high‐pressure mercury intrusion (HPMI) experiments and low‐temperature nitrogen gas adsorption (LTN2GA) experiments. Meanwhile, we studied the petrology feature of the tight sandstones through X‐ray diffraction (X‐rD) and TESCAN Integrated Mineral Analyzer (TIMA). Then, we investigated the HPMI capillary pressure curves and pore size distribution characteristics, as well as the adsorption‐desorption isotherms features and BET‐specific surface area. Finally, the BJH, non‐local density functional theory (NLDFT) and the quenched solid density functional theory (QSDFT) are contrasted for analyzing the adsorption and pore size distribution characteristics. The HPMI method characterizes the macropores distribution accurately, and the micro/mesopores take up of 14.47% of the total pore spaces. The physisorption isotherms take on the combining shape of type II and IV(a), and the hysteresis loops are like type H3 combined with H4. The BET‐specific surface area is inversely proportional to permeability, and the constant of adsorption heat shows consistence with the analysis results of mineral content. QSDFT can characterize the pore size distribution of micro/mesopores more accurately than the BJH, HPMI, and NLDFT method. By combining the pores narrower than 34 nm calculated from QSDFT method and pores larger than 34 nm calculated from HPMI data with mercury intrusion pressure lower than 42.65 MPa, the full pore size distribution features of tight sandstones are accurately characterized. The micro/mesopores from the new combination method are 3.72% more than that calculated from the HPMI data, and it is of great significance for the accurate pore distribution evaluation and development of tight reservoirs.
CBRL and CBRC: Novel Algorithms for Improving Missing Value Imputation Accuracy Based on Bayesian Ridge Regression

In most scientific studies such as data analysis, the existence of missing data is a critical problem, and selecting the appropriate approach to deal with missing data is a challenge. In this paper, the authors perform a fair comparative study of some practical imputation methods used for handling missing values against two proposed imputation algorithms. The proposed algorithms depend on the Bayesian Ridge technique under two different feature selection conditions. The proposed algorithms differ from the existing approaches in that they cumulate the imputed features; those imputed features will be incorporated within the Bayesian Ridge equation for predicting the missing values in the next incomplete selected feature. The authors applied the proposed algorithms on eight datasets with different amount of missing values created from different missingness mechanisms. The performance was measured in terms of imputation time, root-mean-square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE). The results showed that the performance varies depending on missing values percentage, size of the dataset, and the missingness mechanism. In addition, the performance of the proposed methods is slightly better.
Safe implementation of enhanced recovery after surgery protocol in transfemoral transcatheter aortic valve replacement

Abstract Enhanced recovery after surgery (ERAS) protocols are gaining wide acceptance. We evaluated ERAS protocol implementation in transfemoral transcatheter aortic valve replacement (TAVR) patients. The ERAS protocol included (1) moderate sedation or general anesthesia with on-table extubation, (2) no pulmonary artery or urinary catheters, (3) arterial line removal within 4 hours, (4) no postoperative narcotics, (5) mobilization at 4 hours and ambulation within 8 hours, and (6) antihypertensive reinstitution without nodal blockers. Patients who received TAVR before and after ERAS implementation were compared (N = 121 and N = 368, respectively). The primary endpoint was total hospital length of stay (LOS). ERAS patients had a lower mean Society of Thoracic Surgeons predicted risk of mortality (6.7% vs 7.5%; P = 0.04). Unadjusted analysis demonstrated that ERAS was associated with significantly decreased mean LOS (2.8 vs 4.0 days, P < 0.001), decreased 30-day mortality (0.8% vs 5.0%; P = 0.003), and increased discharge home (90.2% vs 79.3%, P = 0.002) with no increase in 30-day readmission (11.1% vs 14.0%, P = 0.39). After risk adjustment, ERAS patients had a 1.87-day shorter LOS (P = 0.001) and trended toward increased discharge home (odds ratio 1.76, P = 0.078) without increased readmission (odds ratio 0.74, P = 0.4). An ERAS protocol for TAVR is safe and is associated with shorter LOS without increased readmission.
Effects of epigallocatechin-3-gallate (EGCG) on a scleroderma model of fibrosis

Abstract Objective The aim of the present study was to evaluate the potential protective effects of epigallocatechin-3-gallate (EGCG) on fibrosis in bleomycin induced scleroderma model. Materials and methods Thirty-two healthy female Balb-c mice with the average body weight of 22±5 g were used in this study. The mice were randomly divided into four groups as control (n=8), Bleomycin (n=8), Bleomycin+EGCG (n=8) and EGCG (n=8). Skin tissue samples were collected to quantify matrix metalloproteinases (MMP-1, MMP-8, MMP-13), p-SMAD 2/3 and SMAD 2/3 in protein homogenates by western blotting. TGF-β1 expression was determined by real-time PCR. Immunohistopathological and histopathological examinations of skin tissues were also done. Results When measured with Masson Trichrome, EGCG treatment was found to decrease fibrosis in connective tissue compared to the BLM injected control. EGCG was decreased dermal fibrosis. Bleomycin+EGCG group showed a significant reduction in fibrosis at the dermal surface area using hematoxylin measurements compared with the BLM group. MMP-1, MMP-8 protein levels were increased and p-SMAD 2/3 protein level was decreased. TGF-β mRNA expression was decreased in the EGCG+BLM group compared with the BLM group. Conclusion These results suggest an antifibrotic role for EGCG.
Influencer marketing: brand control, commercial orientation and post credibility

ABSTRACT Leveraging social media influencers allows companies to provide information on their products in a more social and interactive way. Yet, scholarly research on the implications of the effect of influencers on consumer trust, their interest and the purchase decision process is still in its infancy. This study proposes a theoretical model to explain how perceived brand control over an influencer’s post and the perceived commercial orientation of such a post affects consumer trust in influencers. Results show that trust of the influencer is reduced more by the post’s perceived commercial orientation than perceived brand control of the influencer’s post. Although perceived brand control also reduces the willingness to search for more information. The results also show that trust of the influencer is salient in predicting post credibility, which in turn predicts interest and willingness to search for more information.
Fluoride Risk Assessment from Consumption of Different Foods Commercialized in a European Region

Fluoride is a halogen found in soil and water from natural and anthropogenic sources. Foods, such as cereals, fruits, and vegetables, among others, absorb and accumulate fluoride. High intakes of this element produce toxic effects such as dental or skeletal fluorosis. Fluoride content was determined in a total of 144 samples from different food groups (cereals and derivatives, fruits, tree nuts, dry fruits, mushrooms, vegetables, and legumes) using selective fluoride ion potentiometry. The fluoride concentration stood out in almonds (3.70 ± 0.96 mg/kg), walnuts (3.53 ± 0.62 mg/kg), bread (2.54 ± 0.85 mg/kg), and rice (2.28 ± 0.93 mg/kg). Consumption of 236 g/day of bread or 263 g/day of rice represents 100% of the recommended daily intake (DRI) set at 0.6 mg/day for children aged 1–3 years. In the case of rice consumption by children of these ages, it is recommended to use bottled water for rice preparation. The consumption of the analyzed foods by teenagers and adults does not pose a health risk.
Whether, How, and Why Networks Influence Men’s and Women’s Career Success: Review and Research Agenda

Substantial research has documented challenges women experience building and benefiting from networks to achieve career success. Yet fundamental questions remain regarding which aspects of men’s and women’s networks differ and how differences impact their careers. To spur future research to address these questions, we present an integrative framework to clarify how and why gender and networks—in concert—may explain career inequality. We delineate two distinct, complementary explanations: (1) unequal network characteristics (UNC) asserts that men and women have different network characteristics, which account for differences in career success; (2) unequal network returns (UNR) asserts that even when men and women have the same network characteristics, they yield different degrees of career success. Further, we explain why UNC and UNR emerge by identifying mechanisms related to professional contexts, actors, and contacts. Using this framework, we review evidence of UNC and UNR for specific network characteristics. We found that men’s and women’s networks are similar in structure (i.e., size, openness, closeness, contacts’ average and structural status) but differ in composition (i.e., proportion of men, same-gender, and kin contacts). Many differences mattered for career success. We identified evidence of UNC only (same-gender contacts), UNR only (actors’ and contacts’ network openness, contacts’ relative status), neither UNC nor UNR (size), and both UNC and UNR (proportion of men contacts). Based on these initial findings, we offer guidance to organizations aiming to address inequality resulting from gender differences in network creation and utilization, and we present a research agenda for scholars to advance these efforts.
A study on utilizing 3D motion-capture analysis to assist in Chinese opera teaching

ABSTRACT Chinese opera performance proceedings can be divided into two types. The first is ‘visible proceedings’, which can be directly seen and heard in the performance, and the second is ‘invisible proceedings’, which arrange the story and performance of the opera using procedural thinking. The research methods of this study were mainly used to analyze and verify whether Chinese opera movements could improve teaching performance after using 3D motion-capture technology. The experimental method was based on two phases. The first phase used a pre-experimental design in a one-shot case study. The second phase of the experiment was a true-experimental design, in which the data collection method adopted a randomized control-group pretest-posttest design. Bivariate correlation, paired sample T-test, ANOVA, and multivariate linear regression were used for comparison of the movements of the instructor and participant variables among the motions of key limbs. The two experimental phases were both exploratory processes. The two assumed null hypotheses could be rejected based on a significant difference after analysis. It has a high probability of causing variations in student learning during teaching because the changed quantity of the teaching and learning clearly indicates how the high degree of connected influence comes into being.