Miracle-dz/UniFAR-FTUs huggingface dataset:
Teorias Etiológicas do Transtorno de Personalidade Borderline: da neurobiologia à epigenética

Objetivo: identificar as possiveis anomalias neurobiologicas e epigeneticas, assim como os efeitos do trauma durante a infância na patogenese do Transtorno de Personalidade Borderline (TPB). Metodologia: para a revisao narrativa, utilizou-se a PubMed, Scielo, UpToDate como base de dados, no periodo entre 2010 e 2020, resultando em 688 artigos, dos quais 26, distintos por criterios de inclusao, serviram de base para este estudo. Resultados: em neurobiologia, anormalidades foram encontradas, entretanto os estudos nao conseguiram comprovar se tais modificacoes originam o transtorno ou sao decorrentes da psicopatologia, enquanto na genetica metilacoes aberrantes de genes – candidatos ou por selecao genomica ampla (GWS)- podem estar ligados a etiologia do TPB. Por fim, a analise dos artigos acerca TPB e trauma infantil revelou que uma porcentagem significativa dos individuos com o transtorno sofreu abuso ou indiligencia na infância. Consideracoes finais: a teoria que combina a neurobiologia, a epigenetica e o ambiente se mostrou a mais plausivel para explicar a etiologia do TPB. Dito isso, mais estudos devem ser realizados a fim de compreender tanto se esses achados sao patognomicos do transtorno ou consequencias dele, quanto as correlacoes anatomicas e funcionais, geneticas e ambientais para a patogenese do TPB.
Narrowing the gaps of scientific argumentation skills between the high and low academic achievers

The 21st century education has become the primary focus of the development of higher order thinking skills, such as scientific argumentation skills. The facts show that high school students from Malang, Indonesia have poor scientific argumentation performance. The implementation of innovative learning models is key to improving students’ scientific argumentation skills. This study aimed to investigate the effects of RICOSRE, Problem Based Learning (PBL) and conventional learning models on students’ scientific argumentation skills. This study involved 93 students from Public Senior High School Number 8 (SMAN 8) Malang and 90 students from Public Senior High School Number 1 (SMAN 1) Turen Indonesia. SMAN 8 Malang was selected as a representative sample of high academic achievers while SMAN 1 Turen was appointed as a representative sample of low academic achievers. This quasi experimental study employed a pre- test-post-test non equivalent control group design. Both the pretest and the post-test contained eight essay questions. ANACOVA and LSD tests were run to analyze the participants’ tests’ scores. Compared to learners in the PBL and conventional groups, learners in the RICOSRE group scored significantly higher in scientific argumentation. However, there was no significant difference between the higher academic achievers and the lower academic achievers in terms of scientific argumentation scores. Unlike PBL and conventional models, RICOSRE was proven to be the most effective learning model that can be used to narrow the gaps of scientific argumentation skills between learners from the higher academic achievement group and learners from the lower academic achievement group.
The mechanism underlying grazing shaping stoichiometry of plant community on a grassland of Guizhou subtropical plateau

Livestock grazing is a traditional and major use of grassland in China subtropics. However, plant stoichiometry and how it was affected by grazing in these ecosystems have been poorly explored. Here, the responses in plant nutrition and stoichiometry as well as soil nutrition and stoichiometry under representative grazing intensities (i.e., moderate grazing and heavy grazing) compared with no-grazing were characterized, the drivers of plant stoichiometry were explored in a subtropical artificial grassland, SW China. Wilcoxon test showed that grazing intensity significantly changed the response of soil OC, TN, AN, AP, AK, pH, OC: TN, AN: AP, AN: AK, AP: AK, and AP: AK. Grazing intensity changed the response in N, ASH, EE, ADF, P, N: P, N: P, N: Ca and P: Ca of plant. Path analysis showed the effect of grazing intensity on the stoichiometric ratio of nitrogen and phosphorus in plant community was achieved through the removal of herbivores. Our research provides some mechanistic understanding of grazing management of subtropical grassland, and also provides new insights and useful reference for the protection and utilization of grassland in Guizhou Plateau.
Evaluation of Sperm Parameters, Reproductive Hormones, Histological Criteria, and Testicular Spermatogenesis Using Turnip Leaf (Brassica Rapa) Hydroalcoholic Extract in Male Rats: An Experimental Study

Turnip leaves are rich in vitamins, contain large amounts of various substances with biological properties, and contain various flavonoids, some of which have phytoestrogens properties. The effect of hydroalcoholic extract of turnip leaf (TLE) on pituitary-gonad axis and testicular tissue changes in adult male rats was investigated.Forty Wistar rats were used in 5 groups of 8. The control group used water and standard laboratory feed and did not receive any TLE. The placebo group received orally a certain amount of distilled water as an extracting solvent. Experimental groups 1, 2, and 3 used TLE included 500, 1000, and 2000 mg/kg, respectively, for 28 days. Finally, blood samples were collected from all examined groups to measure the serum concentrations of testosterone, LH, and FSH by the ELISA method. The testes were removed from the animals, and the diameter of the seminiferous tubules (STD) was measured by DinoCapture software. The results revealed that BW, left and right testes did not exhibit significant changes. The results of hormonal tests showed that the TLE in experimental groups increased the level of testosterone and had no significant effect on the levels of LH and FSH. Histological studies showed that the number of spermatogonia, spermatocytes, spermatids, spermatozoa, Leydig cells, STD, and germinal epithelium diameter (GED) in experimental groups showed significance. The effects of TLE were not dose-dependent and the value of 1000 mg/kg is recommended for effectiveness and margin of assurance. This research article is taken from the master's thesis in the field of animal biology.
Uncertainty in chronic kidney disease

The aim of this study was to recognize the most common uncertainties presented by patients diagnosed with Chronic Kidney Disease. Systematic review was made of the scientific literature of articles published between 2012 to 2018, in Spanish, Portuguese and English, and accessible to text full. Comprehensive and reproducible search of original works in the Scielo, PubMed, Ebschost, Dialnet, Redalyc databases, with the descriptors ( D e CS ) “Renal Insufficiency Chronic”, “Theory of uncertainty”, “Renal Dialysis” and their equivalents in Spanish, English, and Portuguese with critical assessment of the scientific quality of the studies applying PRISMA checklist (2009). The uncertainties were analyzed from the nursing theory of MIshel Merle, the findings show that the most common are related to ambi-guity and lack of information; Inference of the process, the inference is mostly presented and the confrontation of the disease is seen as a danger manifested with feelings of anxiety and depression
Load Resistance Optimization of a Broadband Bistable Piezoelectric Energy Harvester for Primary Harmonic and Subharmonic Behaviors

In this study, optimization of the external load resistance of a piezoelectric bistable energy harvester was performed for primary harmonic (period-1T) and subharmonic (period-3T) interwell motions. The analytical expression of the optimal load resistance was derived, based on the spectral analyses of the interwell motions, and evaluated. The analytical results are in excellent agreement with the numerical ones. A parametric study shows that the optimal load resistance depended on the forcing frequency, but not the intensity of the ambient vibration. Additionally, it was found that the optimal resistance for the period-3T interwell motion tended to be approximately three times larger than that for the period-1T interwell motion, which means that the optimal resistance was directly affected by the oscillation frequency (or oscillation period) of the motion rather than the forcing frequency. For broadband energy harvesting applications, the subharmonic interwell motion is also useful, in addition to the primary harmonic interwell motion. In designing such piezoelectric bistable energy harvesters, the frequency dependency of the optimal load resistance should be considered properly depending on ambient vibrations.
Differentiation of mesenchymal stem cells using metal oxide thin films

While metal oxides synthesized as thin films have attracted much attention due to their electronic applications, we show here that they can also be used as bio-surfaces for the growth of stem cells, a field of research which has not been much explored. To demonstrate this, thin films (150–200 Å) of titanium oxide (TiO2) and aluminum oxide (Al2O3) were deposited on glass using the pulsed laser deposition technique and mesenchymal stem cells were grown on these layers. Cell behavior was evaluated with respect to various key parameters, such as the composition, wettability, morphology and thickness of the films. Our results indicate that thin films of TiO2 and Al2O3 can not only support stem cell adhesion and growth, but can be used to influence the osteogenic and chondrogenic differentiation paths, which opens the route for a variety of novel biocompatible materials.
Hybrid magnetic Irish moss/Fe3O4 as a nano-biocatalyst for synthesis of imidazopyrimidine derivatives

Irish moss (IM), derived from the Chondrus crispus is a family of sulphated polysaccharide that are extracted from certain kinds of algae (red edible seaweeds). In this study, new magnetically separable, recoverable Fe3O4 nanoparticles were synthesized in the presence of natural Irish moss (IM) to afford Fe3O4@IM. FT-IR analysis, scanning electron microscopy (SEM), transmission electron microscopy (TEM), VSM analysis, Energy-Dispersive X-ray Spectroscopy (EDX) and X-ray diffraction (XRD) were combined for the characterization of the Fe3O4@IM nanocomposite. Afterward, the first catalytic report of Fe3O4@IM with no post-modification was achieved by studying its catalytic activity in the synthesis of imidazopyrimidine derivatives via a three-component reaction of 2-aminobenzimidazole, aldehyde, and C–H acidic compounds under reflux in ethanol. 1H nuclear overhauser effect (NOE) experiments have been used to ascertain the regioselectivity of addition and condensation reactions. Based on this study, Fe3O4@IM is an efficient, magnetically separable, recyclable, and green catalyst.
DIETARY NITRATE: THE NEW MAGIC BULLET?

KEY POINTS • Nitric oxide (NO) is vitally important in human physiology and it modulates many of the processes that are essential to exercise performance. • Recent evidence indicates that NO availability can be enhanced by dietary supplementation with inorganic nitrate which is abundant in green leafy vegetables and beetroot. • Dietary nitrate supplementation with 5-7 mmol nitrate (~0.1 mmol/kg body mass) reduces resting blood pressure, lowers the oxygen cost of sub-maximal exercise (i.e., enhances muscle efficiency) and may enhance exercise performance. • These physiological effects can be observed as little as 3 h following nitrate consumption and can be maintained for at least 15 days if supplementation is continued. • The optimal nitrate ‘loading’ regimen and the physical activities and populations in which nitrate supplementation might be most effective remain to be determined. • Due to possible health risks associated with the consumption of nitrate salts, it is recommended that athletes wishing to explore the ergogenic potential of nitrate supplementation do so through increased consumption of nitrate-rich vegetable products such as beetroot juice.
Lab-Made Semi-Automated Microfluidic Flow Injection Spectrophotometric System for Determination of Nitrite in Natural Water

A lab-made semi-automated microfluidic flow injection spectrophotometric system for the determination of nitrite in natural water was constructed and designed. It has consist of double line microfluidic chip with dimensions (40µl×5cm), each one 20 µl volume aims to allow very small volume from reagent and sample to be used. The microfluidic system also, consists of two Arduino microcontroller programs. The first one was UNO used to dominance mini peristaltic pump and the other one was a mega type which was records the results as peaks using Microsoft Excel 2010 program. The linearity was ranged (0.025-0.15) μg/ml with regression coefficient of six points 0.9997, r.s. d% for ten replicates of 0.1 μg/ml. The detection limit was 1.75 ng/ml and the samples throughput was 150 samples per hour and one sample required 55. 7µl of chemical reagents therefore, 150 samples consumed 8.355 ml of chemical reagents which clearly indicated that the consumed reagent and waste were very low.So, the method of determination of nitrite in this system is Eco-friendly. The concentrations of nitrite in the natural water were in the range (0.025-0.4) μg/ml.
Producing secure multimodal biometric descriptors using artificial neural networks

With the rapidly growing use of biometric authentication systems, the security of these systems and the privacy of users have attracted significant attention in recent years. Multi ‐ modal biometrics have been able to improve the accuracy of the system but require additional bandwidth to exchange the data. Fragile watermarking has been used to allow the transmission of both biometric templates using the amount of data required to transmit one of them, that is, the cover image, while securing these templates against attacks. Despite the high accuracy of these systems, communicating such templates imposes risks towards the privacy of the users. In this study, a new method is proposed to generate fixed ‐ size descriptors for the face and fingerprint templates, including the timestamp of the transmission and a unique system identifier. The inclusion of the timestamp enables the system to detect and deny replay attacks, while the unique system identifier maintains the privacy of the users. The experiments conducted to evaluate the proposed method have shown that the proposed method has been able to achieve these features while maintaining high recognition rates, 99.41% and 99.32%, similar to the use of the entire biometric templates in the matching stage.
Insights into the influence of additives on the thermal gradient induced migration of lubricant

Thermo‐capillary migration is a phenomenon that the thermal gradients will drive a liquid to flow from warm to cold regions. It is of great importance to prevent the lubricant migration on rubbing surfaces in the cases where the amount of lubricant is limited. In this paper, four different lubricant additives are incorporated into one base oil, and the effects of additives on the migration behaviour and surface tension coefficient are investigated. The functional mechanisms of additives are discussed. The experimental results demonstrate that the additives have remarkable influences on the migration performance of lubricant. The migration behaviour shows the relation to not only the surface tension coefficient, but also the actions between the additive and substrate. This should be considered in the designing process of an anti‐migration lubricant. Copyright © 2016 John Wiley & Sons, Ltd.
A Noval Fuzzy Financial Investment Algorithm based on Combinatorial Entropy Value Method

According to the multi-objective and multi-decision problem of traditional financial Investment, a Financial Fuzzy Investment model based on Combinatorial Entropy Value Method is proposed. The company financial index system and index calculation model are constructed, an improved entropy method is proposed to calculate the index weight value, which can comprehensively consider the influence of historical evaluation data and current evaluation data, and the fuzzy membership function for investment satisfaction is proposed. Finally, an example is used to verify the effectiveness of the Investment model.
A Stochastic Differential Equations Model for Internal COVID-19 Dynamics

In this article, we analyze stochastic differential equations model for internal coronavirus (COVID-19) dynamics. The stochastic differential equations model are expressed using the Ito’s formula. The Environmental stochasticity in this dynamical model is presented via parameters disturbance which is the standard method in the stochastic differential equations(SDEs) in the population modeling. We than prove that this model decided in this paper have a unique global positive solution because this is fundamental in any population dynamics model. The main aim of this paper, we formulate the interaction of coronavirus COVID-19 with host cells and presented the conditions required in order to the COVID-19 to die out. And this results also illustrated by computer simulation.
Repetitive Laser-Induced Plasma Ignition and Assisted Combustion of Premixed Methane/Air Flame

ABSTRACT Laser-induced plasma ignition and assisted combustion of premixed methane/air flames are investigated using a repetitive nanosecond Nd:YAG laser. The flame kernels formed in the ignition process break up into two sub-kernels, which results from the hydrodynamic stretch induced by the toroidal structures generated in the breakdown process. The flame propagation speeds of the upper and lower fronts of the flame kernels are enhanced under low flow speed conditions. Faster propagation of the upper fronts than the lower fronts enables the catch-up of consecutive flame kernels and flameholding using high repetition laser-induced plasmas. The laser repetition rate (frep) to realize cost-effective flameholding is determined from the temporal propagation of the flame fronts. The minimum frep to achieve flameholding at 1–5 mm above the plasma are 387–534 Hz, 454–612 Hz, and 610–869 Hz for the flows of 5.5 m/s, 6.3 m/s, and 9.0 m/s, respectively, and the corresponding up limits for the frep are 704 Hz, 775 Hz, and 1030 Hz, respectively.
Assessing Soil and Crop Characteristics at Sub-Field Level Using Unmanned Aerial System and Geospatial Analysis

Practicing agriculture is a multiparametric and for this reason demanding task. It involves the management of many factors and thorough strategic planning in a highly variable and uncertain environment. Crop production is a function of agricultural practices as applied in natural resources, such as soil and plants. When referring to conventional agriculture, variability in these resources is neglected, as any field is treated homogenously. On the other hand, site-specific crop management, which was promoted through the advance of technologies, regarding collecting and analyzing data and applying agricultural decisions at a sub-field level, considers field spatial and temporal variations. Localizing inputs in a field rationalizes agricultural waste management and offers promising perspectives towards a circular economy. In this context, two cotton fields in central Greece were selected for this study. During the growing period, reflectance data were acquired, before planting at the end of April, and 100 days after planting at the end of July, with a commercial unmanned aerial system (UAS). The fields were grid sampled for soil (clay content, pH, calcium carbonate percentage, organic matter, total nitrogen, and electrical conductivity) and plant properties (total nitrogen, potassium, iron, copper, and zinc) determination. All data were manipulated through geographical information systems (GIS) and further participated in principal component analysis (PCA) application. PCA revealed important relations and groupings between soil reflectance and organic matter, carbonates, and clay content in both fields (72 to 87% of the total variance in the initial parameters was explained by the extracted components). However, in plant data, the resulting components accounted for less variability in initial data (62 to 72%). PCA resulting scores were introduced in the Fuzzy c-means clustering algorithm, which categorized sub-areas of the fields into two discrete zones per field. Zoning, in the case of soil properties, was accompanied with the statistically important (p < 0.01) discrimination of the mean values (except for total nitrogen and pH), implicating a promising zonal management scheme. The zone delineation process regarding plant properties yielded areas that did not share statistically significant variations, except for the mean values of iron concentration (p < 0.01). According to the results, spatial variations were revealed across the fields, mostly in soil properties, which can be directly monitored through aerial reflectance data. The applied methodology can be used in extension services or by agronomists for producing fertilizer application maps. Further, when integrated with a broader spatial decision support system, it can be used by policy makers for adapting circular economy strategies in crop production.
Testing for Phenotypic Plasticity

Phenotypic plasticity, or an organism’s capacity to change its phenotype in response to environmental variation, is a pervasive—perhaps even ubiquitous—feature of the biological world. Accordingly, plasticity research suggests serious implications for biological theory, including evolutionary theory. The theoretical implications of plasticity have growing support from empirical literature documenting the range, extent, and adaptiveness of plasticity. However, the empirical evidence for particular instances of plasticity has still not been adequately scrutinized by biologists or philosophers. After reviewing some important conceptual and theoretical background information, this paper synthesizes some past discussions of the methodology of plasticity studies and provides some novel methodological guidance for plasticity researchers. My conclusion is that not all plasticity studies should carry the same weight: there are patterns we can identify in the features of such studies that should contribute to (or detract from) their credibility. In particular, I argue that some types of organisms and some types of plastic phenotypes are more conducive to the empirical study of plasticity than others.