Miracle-dz/UniFAR-FTUs huggingface dataset:
Resveratrol stimulates microRNA expression during differentiation of bovine primary myoblasts

Background: Resveratrol (RSV), a phenolic compound, is present in many human dietary sources, such as peanuts, peanut butter, grapes skin, and grape wine. RSV has been widely known for its benefits on human health. Beef from cattle skeletal muscle is one of the main sources of protein for human consumption. Previous studies have also found that pork and chicken qualities are influenced by the feed supplementation with RSV. In addition, our previous study demonstrated the RSV effects on bovine myoblast differentiation using messenger RNA (mRNA) data. In this study, we mainly focused on the influences of RSV on microRNA (miRNA) expression. Method: We used 20 μM RSV to treat primary bovine myoblasts and extracted RNA for miRNA sequencing. After quality control and alignment for clean reads, we conducted quantification and analysis of differentially expressed (DE) miRNAs in the case (RSV-treated) group versus control (non-RSV treated) group. Next, we predicted the target genes for the DE miRNAs and analyzed them for the enrichments of Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Results: Finally, we identified 93 DE miRNAs (adjusted P-value < 0.05), of them 44 were upregulated and 49 were downregulated. Bta-miR-34c was the most significantly upregulated miRNA. In silico, prediction results indicated 1,869 target genes for the 93 DE miRNAs. GO enrichment analysis for the genes targeted by DE miRNAs revealed two significant GO terms (adjusted P-value < 0.05), in which the most significant one was stereocilium (GO:0032420). KEGG enrichment analysis showed five significant pathways, and the top significant KEGG pathway was the insulin signaling pathway (bta04910) (adjusted P-value < 0.05). Conclusions: This study provided an improved understanding of effects of RSV on primary bovine myoblast differentiation through the miRNA modulations. The results suggested that RSV could promote differentiation of primary bovine myoblast by stimulating the miRNA expressions. The target genes of DE miRNAs were significantly enriched in the insulin signaling pathway, thus potentially contributing to improving muscle leanness by increasing the energy metabolism.
The issue of the information technology and technical terminology translatability from English into Russian: the typology and the nominative density levels

The 21st century is characterized by its rapid scientific and technological advancement. Digital and technical inventions have resulted in computer globalization which caused the necessity of adequate translation of different kinds of English-language technical documentation, manuals, software products, etc. The article deals with the recent tendencies in translation and interpretation studies showing increasing interest to the ways English scientific and technical texts are rendered into Russian. The article considers the peculiarities of translating the scientific and technical vocabulary in the information technologies sphere and provides a typology of the English terms. Non-equivalent vocabulary is considered to be the most serious communication challenge. The authors identify the basic typical features of the computer discourse vocabulary, analyze the correlation between its nominal density and translatability level. The findings indicate that the ratio between the nominal density and translatability level of linguistic concepts is inversely proportional. The academic originality of the study involves the classification of technical and computer terms, as well as comparing nominal density and translatability levels. The article focuses on the most applicable English-language computer terms translation techniques, such as calquing, substantiation, generalization, semantic development, descriptive translation, antonymic translation, replacement and transformation of parts of a sentence. Pointing out that both linguistic and extralinguistic factors affect the translation solution choice, the authors believe that the correct approach to the translation process guarantees a successful intercultural communication.
Biobjective Optimization-Based Frequency Regulation of Power Grids with High-Participated Renewable Energy and Energy Storage Systems

Large-scale renewable energy sources connected to the grid bring new problems and challenges to the automatic generation control (AGC) of the power system. In order to improve the dynamic response performance of AGC, a biobjective of complementary control (BOCC) with high-participation of energy storage resources (ESRs) is established, with the minimization of total power deviation and the minimization of regulation mileage payment. To address this problem, the strength Pareto evolutionary algorithm is employed to quickly acquire a high-quality Pareto front for BOCC. Based on the entropy weight method (EWM), grey target decision-making theory is designed to choose a compromise dispatch scheme that takes both of the operating economy and power quality into account. At last, an extended two-area load frequency control (LFC) model with seven AGC units is taken to verify the effectiveness and the performance of the proposed method.
CONTENT ANALYSIS STUDY FOR THE STUDIES DONE ON PARENTAL EDUCATION

The aim of this study is to analyze the studies which were carried out for the education of both mother and father in respect of content analysis. This research is a document review type study. The current study is limited to and analyzed by 150 articles that were published in the database of Web of Science, Scopus, EBSCO and Ulakbim between the years 2008-2018. The articles were evaluated in terms of year of publication, country, method and sample group in accordance with the main objective. Based on this analysis, it was detected that the studies that were carried out regarding the education of mother is higher than the education of father. Furthermore, it was detected that the studies were carried out in the year 2017 mostly. Considering the analyses that were carried out, it was observed that mostly mother, subsequently father and child groups as sample groups were included in these studies. It was also detected that the studies were carried out mostly as quantitative research method. Moreover, it was specified in the reviewed databases that the studies regarding the issues of education of mother and father were implemented in America mostly. Key Words: Mother’s Education, Father’s Education, Parental Education
Correlation Between Liver Analysis Outputs

— Data mining techniques on the biological analysis are spreading for most of the areas including the health care and medical information. We have applied the data mining techniques, such as KNN, SVM, MLP or decision trees over a unique dataset, which is collected from 16,380 analysis results for a year. The results show that there is a correlation among ALT, AST, Billirubin Direct and Billirubin Total down to 15% of error rate. Also the correlation coefficient is up to 93%. This makes possible to predict the analysis results from each other or disease patterns can be applied over the linear correlation of the parameters.
The contribution of edgeworth approximation in a real study case

Edgeworth approximation has a considered contribution in the reduction of the sum of standard deviation of the independent variables’ coefficients in a Quantile Regression Model. Quantile regression is an extension of linear regression that estimates the conditional median or other quantiles and is used when the conditions of linear regression are not met. In our paper, we have generated a quantile regression model for the relation of the customers’ demand and the prices of the products in a real study case during the past two years. This model is used instead of Least Square model of Linear Regression, because the Linear Regression of the Demand and Prices was not free of autocorrelation and heteroscedasticity, and our aim is to analyze in more details the relation between the variables taken into study: the demand and the prices and how to minimize the standard errors of the independent variable involved in this study, the price. 120 Edlira Donefski, Tina Donefski and Eljona Milo In our work we have applied the Bootstrap version, Edgeworth Approximation for IID cases and the Edgeworth approximation for Bootstrap Quantile Regression Model. All these applications are concretized with graphics that makes the output of identifying the best approximating model of this study more visualized.
Long term effect of Step Aerobics Training on skin temperature. A pilot study

The purpose of this study was to evaluate the effects of a Step Aerobics Training (SAT) on the skin temperature (Tsk) in different regions (ROI) of the anterior body surface. The study included 15 healthy volunteers of the Bialystok University of Technology (BUT) without any previous experience in SAT training. Two sets of thermograms were recorded before and immediately after exercise at the first and last sessions of a 30-weeks SAT program with a progressive intensity. The results indicate a generalized drop in body temperature immediately after exercise with ΔTsk values of -2.45oC registered immediately after the first training and lower drops (ΔTsk = -1.69oC) after the 30 weeks of SAT. The regions with lower values of postvs pre-exercise Tsk were the thighs both in the first session and in the last session of the 30-weeks SAT program. The results show nonsignificant variations for asymmetries between the values of the contralateral ROIs in every moment of the data collection. We concluded that a 30-week SAT program resulted in significant drop of mean Tsk of evaluated body parts (ROI), being the thermal effects related with the areas more activated in the sport practice. From the thermal asymmetries perspective, the training program carried out did not generate any injury risk for the participants.
Usage Scenarios for Blockchain Technologies in the Domain of Civil Law Notaries

: Blockchain technologies have recently been discussed also in regard to their ap ‐ plication in the legal domain. In this paper we take the perspective of civil law notaries as an established and trustful institution and derive two potential usage scenarios for using public permissioned blockchains in this area. Thereby, the specificities of civil law notaries as state ‐ appointed officials who provide independent, impartial and objective advice for important legal transactions need to be considered. The usage scenarios intend to show possible directions for future blockchain applications.
Parametric Effects on Slump and Compressive Strength Properties of Geopolymer Concrete using Taguchi Method

This paper represents the parametric effects on slump and compressive strength of aluminosilicate based Geopolymer concrete using by Taguchi method. A total of nine mix proportions were considered to evaluate the effect of sodium hydroxide (NaOH) solution, Solution/Binder (SB) ratio and the percentage of superplasticizer. Results indicated that the highest slump of 165 mm and 28 days compressive strength of 68.37 MPa was obtained for aluminosilicate based Geopolymer concrete with the superplasticizer, Solution to Binder (SB) ratio and extra water) parameters. By using the selected (Signal-to-Noise (SN) ratio graphs, the best combination of parameters for slump and compressive strength properties was also obtained. The mix with the best combination of parameters was considered and partially replaced with silica fume and rice husk ash. The inclusion of additional silica (in form of silica fume and rice husk ash as Ground Granulated Blast Furnace Slag (GGBFS) replacement), most significantly influenced the slump and compressive strength properties.
Multivariate models for identification of elite mother bushes with high commercial potential for black tea from mature seedling fields of Camellia sinensis

Tea producers are in demand of new high yielding cultivars, which produce high quality tea liquors. To breed for these phenotypic traits is challenging due to their polygenic disposition and influence by environment. Two C. sinensis populations, namely Comm cultivars from open pollinated field selections, and NComm cultivars from the reciprocal cross of two parents were used. These cultivars were employed to identify the metabolites responsible for distinguishing Comm cultivars, with high yield, high quality and DT from NComm cultivars that did not show these traits. PCA and PLS-DA models were constructed on UPLC/DAD data, which showed clear separation between the Comm and NComm cultivars. CHAID decision trees constructed aimed to classify the 303 genotypes as either Comm or NComm cultivars using subset of compounds. Breeders can predict the quality of new selections from mature seedling fields by employing CHAID decision trees, or the CAF/EC ratio, as predictors.
A Poriferous Nanoflake-Assembled Flower-Like Ni5P4 Anode for High-Performance Sodium-Ion Batteries

Sodium-ion batteries (SIBs) have been regarded as one of the most competitive alternatives for lithium-ion batteries (LIBs) due to the abundance of sodium and comparable electrochemical characteristics of sodium to that of lithium. However, while highly desired, developing stable anode materials remains a critical challenge. In this work, the development of a stable anode for SIBs is reported, a poriferous nanoflake-assembled flower-like nickel tetraphosphide (PNAF-NP) with high surface area and typical mesoporous property. Due to the unique structure, the PANF-NP anode exhibits excellent reversible capacity of 648.34 mAh g-1 at 0.2 A g-1 with a Coulombic efficiency of 98.67%, and superior cycling stability at 0.2 A g-1 with high retention capacity of 456.34 mAh g-1 and average Coulombic efficiency of 99.19% after 300 cycles. Moreover, the high reversible capacity of 614.43, 589.49, 512.66, and 432.23 mAh g-1 is achieved at 0.5, 1, 2, and 5 A g-1, respectively, indicating the superior rate capability of the PNAF-NP anode. This work represents a great advancement in the field of SIBs by reporting a high-performance anode material.
Three-Dimensional Pulse Width Modulation Techniques for Three-Phase Four Leg Voltage Source Converters

This paper presents a new control strategy to improve the performance of shunt active power filter (SAPF) in three-phase four-wire system when operating under an unbalanced system. A control method based on the instantaneous power theory have been used and discussed. On the other side, a threedimensional hysteresis current controller is used to track the compensated current references. This scheme requires the service of a phased-locked loop (PLL) to make the system insensitive to the distortions that are generally present in the utility voltages. The performance of the proposed topology under the used control approach has been finally discussed through the obtained simulation results.
A REAL-TIME IRRADIATION MODEL

The authors modified the numerical method of Smith et al(1984) to calculate the irradiation on the sea surface and in the interior of seawaters,and presented a real-time irradiation model.Application of this model in the Bohai Sea surface from September 24 to October 7,1998 and from April 28 to May 11 1999 showed a good agreement to the observation data; the bias between calculated and measured irradiation energies are 0.27% and 6.67% for the two periods,respectively.When the phytoplankton biomass is small,light irritation could promote algae growth quickly if other influencing factor are ignored; however,the increase in the phytoplankton biomass would shield the light from entering deep water,resulting in light attenuation and algae growth holdback.
Tracking Verb Phrases for Formative Feedback in Foreign Language Writing

—Providing feedback is crucial in the language learning process. In time, formative feedback can help both learners and teachers confirm the ongoing acquisition of language. However, as of today, there is still little research not only on manual formative feedback but also on automated formative feedback. Thus, in this paper, we elaborate on how to track learners’ acquisition for formative feedback by developing a system for foreign language writing. The system is implemented based on the results of an analysis of data collected from conventional face-to-face classrooms in Chinese learning.
Surface Energy and Thermal Stability Studies of Poly(dimethyl siloxane)–Poly(alkyl(meth)acrylate) Copolymers

ABSTRACT The correlation between the surface energy and thermal stability of polymers plays an important role in engineering of plastic materials. In this work, microstructural characteristics of copolymers of poly(dimethyl siloxane) with benzyl methacrylate, ethyl methacrylate, and methyl acrylate are correlated with their surface energy and thermal stability. The poly(dimethyl siloxane) segments in the copolymer chains affected the hydrophobic behavior. The surface energy of the synthesized copolymers decreased by increasing segments of alkyl methacrylates. The thermal stability of copolymers suggesting that heat resistance of poly(dimethyl siloxane) copolymers used in this correlation can be improved by adjusting the units of alkyl methacrylates in copolymers. GRAPHICAL ABSTRACT
Socio-economic and nutritional determinants associated with low birth weight among urban and rural Rajasthan: a case control study

Background: A baby’s weight at birth is associated with mortality risk during the first year, developmental problems in childhood and also with the risk of various diseases in adulthood. Methods: It was a hospital-based case control study conducted from 1 st January 2019 to 30 th June 2020 in a tertiary care hospital in Udaipur, Rajasthan. Mothers who delivered low birth weight baby (LBW) at the hospital, during the study period were taken as cases and controls were selected after matching. Total 86 cases and 172 controls were included in the study. A pre-structured questionnaire was used to collect information given by mothers. Results: Mean age was 28±4.51 years. Low birth weight was found to be significantly associated with sociodemographic variables such as rural area, caste and lower socio-economic status. Birth weight was also associated with weight gain during pregnancy, iron folic acid and calcium supplements and protein powder intake. Conclusions: Sociodemographic variables and maternal nutrition are the key determinants that need to be addressed to reduce the prevalence of LBW in India. Implementation of health promotion strategies are needed to address these factors effectively.
Studies on the role of homobrassinolide on the metabolites in turmeric leaves

The effect of homobrassinolide (HBL) sprayed in four different concentrations viz., viz., 0. 5µM, 1. 0µM, 2. 0µM, and 3. 0µM on the metabolites viz., chlorophyll pigments, carbohydrate fractions (reducing sugars, non-reducing sugars, total sugars and starch) and soluble proteins present in turmeric plants grown in the semi-arid tropics of Nizamabad was studied. The soil of Nizamabad is known to posses high concentrations of salt and the place is usually a semi-arid tropical area where the crops are prone to drought and salt stresses and foliar application of HBL is to ameliorate these stresses and improve the metabolites of turmeric plant. All the four concentrations of HBL played a very positive role in ameliorating the saline stress and enhanced the metabolite contents viz., chlorophyll pigments, carbohydrate fractions (reducing sugars, total sugars, total sugars and starch), and soluble proteins in turmeric plants. HBL at 3. 0μM was found most effective in increasing chlorophyll pigments, carbohydrates and soluble proteins compared to the other treatments as well as control plants.
Generalized Traffic Flow Model for Multi-Services Oriented UAV System

Unmanned Aerial Vehicles (UAVs) are opening up new opportunities for extensive applications. The traffic flow model is critical to evaluate the traffic needs of various applications in designing and deploying UAV system. However, the traffic flow model has not been explored in multi-services oriented UAV system. To this end, this paper proposes a general traffic flow model for multi-services orientated UAV system. Under such a model, the network services are first categorized into three subsets, each corresponding to one of telemetry, Internet of Things (IoT), and streaming data. According to the Pareto distribution, all UAVs are further partitioned into three subgroups relying on their network usages. We can measure the packet arrival rate for the nine segments, each of which represents one map relationship between a services subset and a UAV subgroup. Therefore, we can also obtain the number of packets for each network service and total data size. Simulation results are presented to illustrate that the number of packets and the data size predicted by our traffic model can well match with these in real scenarios with different network services.
INTER-COMPARISON BETWEEN MODIS SATELLITE-BASED AND AERONET GROUND-BASED AEROSOL OPTICAL DEPTH PRODUCTS IN VIETNAM

Although a number of studies have extensively inter-compared the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite-based aerosol optical depth (AOD) with the Aerosol Robotic Network (AERONET) ground-based AOD on both global and regional scales, almost no similar studies have been conducted for Viet Nam a humid subtropical climate region. For the first time, inter-comparison between the MODIS Terra and Aqua Collection 6.1 (C6.1) Dark Target (DT) 10 km, Deep Blue (DB) 10 km, and merged DT-DB 10 km with the AERONET AODs has been performed in different areas with different surface types and different climatic characteristics in Viet Nam. Three investigated AERONET stations are Nghia Do (urban), Son La (mountainous rural), and Bac Lieu (coastal urban) with the studying periods of 2010 2016, 2012 2017, and 2010 2017, respectively. Our findings showed the better performances of DB algorithm than those of DT and DT-DB products in the urban area. Additionally, all MODIS AOD algorithm performed worse over the coastal area compared to those in the non-coastal areas. Generally, the ability of all the MODIS AODs to catch up the monthly-mean AERONET AODs has been expressed in this study.
Predicting Airline Passenger Satisfaction with Classification Algorithms

Airline businesses around the world have been destroyed by Covid-19 as most international air travel has been banned. Almost all airlines around the world suffer losses, due to being prohibited from carrying out aviation transportation activities which are their biggest source of income. In fact, several airlines such as Thai Airways have filed for bankruptcy. Nonetheless, after the storm ends, demand for air travel is expected to spike as people return for holidays abroad. The research is aimed at analyzing the competition in the aviation industry and what factors are the keys to its success. This study uses several classification models such as KNN, Logistic Regression, Gaussian NB, Decision Trees and Random Forest which will later be compared. The results of this study get the Random Forest Algorithm using a threshold of 0.7 to get an accuracy of 99% and an important factor in getting customer satisfaction is the Inflight Wi-Fi Service.