Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of the proliferation of adipose cells in fibrin and chitosan scaffolds: A systematic review

Introduction: Currently the matrices are used for the regeneration of organs and tissues. Among the most used natural polymers are chitosan and fibrin. These matrices provide a three-dimensional environment, with adequate biomechanical characteristics, which allow cell proliferation, migration and differentiation. The aim of the present study was to carry out a systematic review of those scientific works that try to “evaluate the in vitro proliferation capacity of adipose stem cells on fibrin and chitosan scaffolds”. Materials and Methods: A literature search was conducted in the PubMed, Proquest and Science direct databases, using specific search terms, from January 2006 to December 2019. Two investigators independently determined the eligibility of the studies. The articles were preselected considering the inclusion and exclusion criteria. Information on cell morphology, polymer dimensional change behavior, cell isolation and characterization, growth, viability, survival rate and evaluation / cytotoxicity of cells was extracted from the selected articles; when data were missing, the authors of the publication were contacted. The description of the methods to obtain cell proliferation data using metabolic tests such as: (MTT), (MTS), WST-1, LIVE-DEAD, scanning electron microscopy, transmission electron microscopy or fluorescence microscopy was considered. A checklist was used to assess the items and the concordance index was determined for the two researchers. Results: The initial search yielded 165 publications, of which 100 were excluded because they did not meet the inclusion criteria. Sixty-five were reviewed in full text, 58 were excluded because they found duplicates, presented a combination of chitosan and fibrin with other compounds, or because not all the information was found for the evaluation of methodological rigor. Finally, seven articles were selected and submitted to methodological evaluation. Conclusion: Selected studies demonstrate the biological and mechanical advantages of fibrin and chitosan biomaterials and their ability to stimulate cell proliferation. These biomaterials could be considered as options to be used as matrices in tissue engineering and regenerative medicine protocols. Future research on the evaluation of cell proliferation on any biomaterial should be aimed at proposing rigorous methodology that allows obtaining reliable results.
Photocatalytic degradation of methyl orange and cyanide by using TiO2/CuO composite

AbstractIn this study, the effect of adding 5–12.5 wt% CuO to TiO2 on photocatalytic properties of the nano-composite TiO2/CuO was investigated. The products were characterized by X-ray diffractometer, SEM, Brunauer–Emmett–Teller (BET), and DRS. BET-specific surface area of the TiO2/CuO composites was lower than that of the pure TiO2. Incorporation of CuO into TiO2 shifted absorption spectra to the visible region. As the CuO content increased from 0 to 12.5%, a clear decrease in optical band gap from 2.95 to 2.30 eV was observed. The photocatalytic performance was determined by methyl orange degradation and cyanide photo-oxidation under ultraviolet irradiation. However, the excessive incorporation of CuO did not improve any ability of TiO2 to degrade MeO and cyanide. The highest rate of photocatalytic degradation was found in TiO2–7.5% CuO. The rate constants of the dye degradation reaction using TiO2 and TiO2–7.5% CuO catalysts were 0.0107 and 0.0151 min−1, respectively. Corresponding results for cyanide.
A Robust Multi-Layer Framework for Online Condition Assessment of Power Transformers

Online continuous monitoring of dissolved gasses in transformer oil has become an emerging trend in the recent years. This way, in addition to sending the warning signal in the case of gas concentration, a fault diagnosis procedure can be conducted using standard Dissolved Gas Analysis (DGA) methods. However, since the fault diagnosis outcome and result of these methods are sometimes different, an appropriate solution should be suggested to accurately describe the transformer internal condition. To do so, a robust multi-layer framework has been proposed in this paper. Handling the measurement uncertainties and fusing the results of independent DGA methods without losing their diagnosis resolutions are the interesting features of this framework. To improve the overall accuracy of fused diagnosis result, an artificial neural network-based approach is proposed. It intelligently assigns the weight of each independent method in the fusion procedure according to its fault type detection accuracy for the range of input gasses concentrations. To evaluate performance of the proposed framework, comprehensive test studies have been conducted and the promising obtained results prove its superior performance for use in online applications.
Determination of flavonoids in Hypericum perforatum processed by different methods of drying by HPLC

Object To develop a method for the determination of flavonoids in Hypericum perforatum L processed by different drying methods to provide a basis for the processing of the natural herbs Methods The chromatographic conditions were Discovery C 18 column (5 μm, 4.6 mm × 25 cm). detection wavelength 365 nm; mobile phrase : water : acetonitrile : phosphoric acid (825∶175∶1); flow rate 1.0 mL/min Results The contents of rutin and hyperin were at their maximum when dried at 60 ℃ for 4 h Rutin had a good linearity in the range of 0.107～2 675 μg, average recovery rate 99 32%, RSD 1 007%, and hyperin in the range of 0 107～2 675 μg, average recovery rate 99 54%, RSD 3 591% Conclusion Temperature is the main factor influencing the content of flavonoids The HPLC determination was shown to be rapid, reliable and simple, and may be used for the quality control of H perforatum
Incorporating Forthcoming Events and Personality Traits in Social Media Based Stress Prediction

Predicting the forthcoming stress is critical for stress management. In this article, we consider not only one’s posts on social media, but also learn to understand the influence of stressor/uplift events and individual's reactions to the events by constructing an event-post correlation memory network, which evolves dynamically along with the change of events impact and one’s response reflected from their posts. We further build a joint memory network for modeling the dynamics of one’s emotions incurred by stressor/uplift events, and learn one's personality traits based on linguistic words and a fuzzy neural network. We finally predict one's future stress level based on a fully-connected network with attention, where personality traits, social activeness features, and forthcoming possible events are incorporated. We construct a dataset consisting of 1138 strongly-stressed and 985 weakly-stressed users on microblog. Experimental results show that: (1) our method outperformed the baseline, delivering 81.03 percent of prediction accuracy; (2) integrating the personality traits helped increase the prediction accuracy by 3.97 percent; (3) considering forthcoming events enabled to improve the prediction accuracy by 5.81 percent; (4) strongly-stressed users tended to be more neurotic and less active on social media, complying with psychological studies; (5) data scarcity had negative influence on stress prediction and (6) the dataset that is biased towards female made the model have a better prediction accuracy on female users.
Measurements of the Complex Anisotropic Permittivity of Laminates With TM₀ₙ₀ Cavity

Low-loss dielectric laminates that are routinely used in the manufacturing of printed circuit boards (PCBs) are known to be anisotropic. The <italic>in-plane</italic> and the <italic>out-of-plane</italic> components of the dielectric permittivity have been so far typically determined using one of several available methods. In this article, we performed measurements of both components of complex permittivity of selected isotropic and anisotropic laminar materials employing a combination of a few split-post dielectric resonators (SPDRs) and one cylindrical cavity supporting several TM<inline-formula> <tex-math notation="LaTeX">$_{0n0}$ </tex-math></inline-formula> modes in the microwave band. Based on obtained data a novel, more precise approach to measuring the <italic>out-of-plane</italic> component of complex permittivity of laminar samples has been proposed. Additionally, a detailed analysis of several sources of measurement uncertainty (e.g., due to finite tolerances of manufacturing of the sample) has been performed and some recommendations formulated.
SERUM CHOLINESTERASE AS IMPORTANT DIAGNOSTIC MARKER TO DISTINGUISH BETWEEN LIVER DISEASES AND NON LIVER DISEASES

Cholinesterase is an enzyme produced by liver, that catalyses the hydrolysis of neurotransmitter acetylcholine into choline and acetic acid. They are of two type’s acetylcholine esterase known as RBC cholinesterase (true cholinesterase) and plasma cholinesterase (pseudocholinsterase). Serum cholinesterase was found to be less than normal lower limit in 94.5% patients with liver diseases in our study. So assay of this enzyme is better than conventional test like total bilirubin etc. which are raised in other diseases also. Thus serum cholinesterase can be used as important biochemical parameter to distinguish liver diseases from non-liver diseases.
Compact Normal-Mode Hybrid-Helix Antenna and Its Application to Circularly Polarized Yagi Array

This communication presents a compact normal-mode hybrid-helix antenna of circular polarization and its Yagi array configuration. By cascading two types of helices with different turn spacings and radii, the hybrid-helix antenna element effectively alleviates the limitation of the traditional normal-mode helix antenna that is challenging to simultaneously achieve circular polarization and high radiation efficiency. The proposed hybrid antenna element is also further extended for a Yagi array to obtain the endfire circular polarization. For experimental verification, the hybrid-helix array is fabricated using the selective laser melting (SLM) technique. Measured results agree well with simulated ones, showing that the impedance of the normal-mode helix array can cover the 10 dB impedance bandwidth from 2.27–2.47 GHz, and the axial ratio of less than 3 dB and the radiation efficiency of higher than 90% can be achieved within the whole operating bandwidth.
Expression of S100A4 and signal transducer and activator of transcription 3 in thyroid carcinoma and thyroid be-nign tumor and clinical significance

Objective To analyze the relationship between the expression of S100A4 and signal transducer and activator of transcription 3(STAT 3)and clinical biobehaviors in thyroid carcinoma and thyroid benign tumor. Methods Immunohistochemistry was used to assess the expression of S100A4 and STAT 3 in 12 cases of thyroid normal tissues,23 cases of thyroid benign tumor tissues and 88 cases of thyroid carcinoma tissues. Results The expression rate of S100A4 in normal thyroid tissues, thyroid benign tumor tissues and thyroid carcinoma tissues was 16.67%(2/12), 58.44%(12/23) and 80.68%(71/88) respectively with the difference being significant(P<0.05). The expression of S100A4 was related thyroid carcinoma to American Joint Committee on Cancer(AJCC)clinical stage, lymph node metastasis and the degree of infiltration(P< 0.05). The expression rate of STAT 3 in normal thyroid tissues,thyroid benign tumor tissues and thyroid carcinoma tissues was 25.00%(3/12),65.22%(15/23)and 85.23%(75/88)respectively with the difference being significant(P<0.05). The expression of STAT 3 was related thyroid carcinoma to AJCC clinical stage, differentiation degree and lymph node metastasis(P< 0.05). Conclusion Detecting the expression levels of S100A4 and STAT 3 in thyroid carcinoma has certain reference value for judging biological behaviors and evaluating prognosis of patients with thyroid carcinoma. Key words: S100A4; Signal transducer and activator of transcription 3; Thyroid carcinoma
Kinetic Monte Carlo Simulations of Defects in Anatase Titanium Dioxide

Anatase titanium dioxide is a highly promising material for memristors and photocatalysis. Multiple electronic transport processes are known to be influenced by defects in nanoscale anatase. Hence, in this study, we examine charge transport due to defects with respect to the fabrication of nanometer-thin TiO2 films via kinetic Monte Carlo (kMC). A compact kMC model for metal–oxide–semiconductor (MOS) and metal–oxide–metal (MOM) structures comprising TiO2 was parametrized by the electronic properties of TiO2 in agreement with the literature, in particular, spectroscopic studies and DFT calculations on defects in anatase. kMC simulations of MOS structures were refined, for the first time, by separate drift-diffusion simulations on the band bending in p+-Si substrates as well as by barrier heights adjusted for the Fermi level pinning effect. Referring to the impact of specific TiO2 film growth methods and postgrowth treatments on the parameters for defect energies in particular, electrical jV characteristics.
A Robust Heading Estimation Solution for Smartphone Multisensor-Integrated Indoor Positioning

As a part of Internet-of-Things applications, various smartphone-based indoor location services have considerable commercial value. It is largely agreed that the integration of multiple sensors is the preferable solution for improving the performance of smartphone indoor positioning, thanks to the diversity of built-in sensors. However, heading error remains a challenge for smartphone indoor positioning, especially in complex indoor scenes. This article, therefore, proposes a heading estimation solution to enhance the accuracy and reliability of smartphone indoor positioning. The extended Kalman filter (EKF)-based solution fuses smartphone built-in motion sensors, magnetometers, building map knowledge, and fingerprinting coarse positions from Wi-Fi or Bluetooth. First, the context of pedestrian mobility and scene knowledge is inferred by combining these data. Then, a scene augmentation strategy and magnetic interference online detection method are applied to calibrate the gyro accumulation error and improve the heading estimation accuracy. Additionally, quasistatic and low-dynamic judgments and online calibration are used to mitigate gyro drift. The proposed solution is implemented on a smartphone device and validated in several experiments under natural pedestrian mobility and complex indoor scenarios. Experiments show that the accuracy of heading estimation is improved from 13.1° to 2.0°. The improved heading estimation enhances the accuracy of smartphone indoor positioning from 3.57 to 0.90 m. The proposed solution is applicable to real location-based service scenarios.
Price personalization in the Big Data and GDPR context

THE AIM OF THE PAPER This study intends to discuss a rather newly observable fact in management practice that is the personalization of pricing. The possibility of this phenomenon is brought up by the rapid industrial development called by scientists and practitioners the fourth industrial revolution. METHODOLOGY It is a conceptual paper based not on the results of particular field research. Its methodology is grounded on desk research, which contained the review of the scientific literature and observations of research institutions analyzing the practical development going on nowadays in the different fields of the economy. MOST IMPORTANT RESULTS The study proves that as a result of the fourth industrial revolution, the elbowroom of pricing is growing. The growing zone for price-setting makes it necessary for companies to use new and more sophisticated methods among them price personalization. Personalization requires lots of information about the individual behavior of customers. The advanced analytics of Big Data can deliver real-time information; however, if they are used without control, the privacy of customers may become hurt. The paper discusses the effects of the General Data Protection Rules (GDPR) on companies and customers. RECOMMENDATIONS The paper concludes that price personalization, which is a kind of price discrimination, should be used by sellers with care. The effects of GDPR will be not limited to the European Union; it will have worldwide consequences. Acknowledgements: The earlier version of this paper was submitted and accepted for presentation to the 11th International Odyssey Conference on Economics and Business organized by the FEB, University of Zagreb 2020.
The Relationship Between Facebook Users’ Self-Systems And Social Capital Effects

The study examined how the self-systems of users of the social networking website Facebook (where a self-system comprises four elements—self-efficacy, self-assertion, social presence, and self-esteem) and intensity of use affected the above mentioned social relations and the social capital effect. The study also found that bridging and bonding social relationships are mediated by Facebook users’ self-systems and social capital effects. The study’s findings provide potentially significant implications that can be used to develop guidelines and a framework for assessing SNS users’ behavior.
A Numerical Study of Response Surface Based Shape Optimization Using Neural Networks

Industrial pipes that are used for fluid transport generally have to undergo many changes of shape to accommodate interfacing equipment related to plant operation, which results in flow maldistribution zones and higher pressure drops, and in turn leads to higher power consumption. In an attempt to redress this problem, ANSYS, a commercial Computational Fluid Dynamics (CFD) software, is used to perform numerical simulations based on a deterministic computational model of the internal fluid flow using the Reynolds Averaged Navier Stokes equations (RANS), a multi objective optimization study employing Response surface methodology and artificial neural networks. This numerical analysis has been performed on a galvanized steel duct for water recirculation. The focus of the paper is the study of the effect of a chosen set of several geometrical dimensions on the pressure drop and flow distribution inside the duct. Subsequently, a new set of designs with different geometrical parameters has been obtained to minimize the pressure drop and achieve a more uniform flow distribution by using artificial neural networks to generate a response surface and further employing Screening (Shifted-Hammersley sampling) as the optimization method that was used to select the best designs from amongst those that have been generated from the response surface.
Study on the Mechanism of Erucamide Mediating Anti-stress Liver Injury in Rats by Inhibiting Glycine Cleavage

Objectives: In order to research the erucamide effect on Stress-induced rats liver injury and potential mechanism of the protect effect.Methods: Stress-induced liver injury in SD rats was used as an in vivo model. Adult female SD rats were differentiated into three groups: Normal group, SLI(Stress-induced liver injury)-group and [SLI+Erucamide (95.4uM/Kg)]-treated group. In addition, the transcriptomes from 9 liver tissues were sequenced using an Illumina sequencing platform, screened the differentially expressed genes and related cell signal transduction pathways. Gene expression was measured by RT-qPCR. Furthermore, observe the pathological changes of rats liver tissues by HE staining , and levels of alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were measured by microplate method. Human LO2 cells was used for in vitro model, the cells in the logarithmic growth phase were differentiated into normal group, corticosterone groups, erucamide, and glycine intervention groups. Corticosterone (300uM) was used to induce LO2 cell damage in vitro. And using tetrazolium (MTT) colorimetric method to determine and calculate cells viability. Hoechst 33342 staining was used to observe the morphology of hepatocyte apoptosis.Result: This study showed that erucamide has a significant effect on Stress-induced liver injury in rats, which is proved by HE staining test and ALT / AST detection experiment (p<0.05). The results of transcriptomes indicated that erucamide could inhibit the cleavage of glycine to prevent stress-induced liver injury in rats. Moreover, RT-qPCR results demonstrated that erucamide reduced the expression of DLD and AMT(p<0.05) genes in glycine cleavage system, thereby reducing glycine cleavage. Compared with the SLI group, erucamide inhibited UNC5B gene expression(p<0.05), which is related to cell apoptosis, indicating that erucamide can inhibit cell apoptosis. In addition, erucamide inhibited the expression of GPSM3 (p<0.05) and IGSF11 that are associated with inflammation. In addition, both erucamide and glycine could prevent the damage of LO2 hepatocytes induced by CORT. Erucamide and Glycine were effective in preventing Crot-induced LO2 cell damage.Conclusions: In this research, erucamide inhibits the cleavage of glycine to anti-stress liver injury in rats.
Impact of Remittances Inflows and Macroeconomic Stability on Poverty in Nigeria (1977-2014)

The study explored the trend and effects of macroeconomic conditions on poverty (using household consumption as proxy for poverty) in Nigeria. It also analyzed how foreign migration remittances affect aggregate household poverty. It relied on secondary data analyzed using trend and cointegration analysis. It was found that on the long run, when gleaned from the perspective of aggregate household consumption, level of poverty in the country could be explained by economic growth (GDP per capita current USD, lngdp), volume of export trade as percentage of GDP (lnexptrgdp), official exchange rate of Nigerian Naira to USD (lnforex), inflation rate (lninf) and age dependency ratio of population (proxy for aggregate level of unemployment) (lnagedprat). Efforts must be put in place to promote youth employment opportunities, export market access to Small and medium scale enterprises, proper management of foreign exchange regimes. Since migration is not a sustainable source of income for the country, Nigerian authorities must provide education and skills acquisition opportunities too and enhanced working conditions to reduce dependency on immigration as a source of poverty reduction in households.
Water Model Study on Bottom Gas Blowing Processin Continuous Casting Tundish

Bottom gas blowing process in continuous casting tundish was studied with water model, prototype of which is the one in Meishan Iron and Steel Cooperation. Air is blown into the tundish from the bottom with an air-supply equipment, with which tiny and steady bubbles can be produced in tundish. The results show that, without bottom gas blowing, water flowing through the weir flows close to the bottom of tundish bath in a laminar type, and flows out from the outlet directly, so that the average residence time is short and the dead-zone volume fraction is large, which is unfavorable for inclusion removal. With bottom gas blowing, water is uplifted by up-going gas acting as gas baffle, and flows close to the bath surface. Bottom gas blowing is benefit to increasing average residence time and reducing the dead-zone volume fraction. In addition, the ascending gas flow has a role of cleaning, which is in favor of inclusion removal. Inclusions can be removed with a relative small amount of low gas flow rate. It has similar influence of different locations on the average residence time, dead-zone volume fraction and the shortest residence time. But, on the whole, blowing at location in the middle of bath has a better effect.