Miracle-dz/UniFAR-FTUs huggingface dataset:
Semi-volatile compounds variation among Brazilian populations of Ilex paraguariensis St. Hil.

The use of compressed carbon towards extracting semi-volatile compounds present in mate leaves (Ilex paraguariensis St. Hil.) is due to the growing interest in mate constituents to develop new products in the cosmetic, pharmaceutical and food industries. The objective of this work was to assess the chemical distribution of semi-volatile compounds in 20 native populations of mate collected all over Brazil. The extracts of bulk samples (30 plants) of each population were obtained by the high-pressure carbon dioxide extraction technique, and analyzed by GC/MSD. The quantification of compounds (caffeine, theobromine, phytol, squalene, vitamin E, eicosane, pentatriacontane, and stigmasterol) showed significant variations within the different populations and compounds analyzed, which are not related to geographical origin or macroclimate characteristics. The results pointed out to the importance of genetic and local environmental factors on the chemical composition of this species.
Geographic variation in the sex ratio, sex specific size, and age structure of Plectropomus leopardus (Serranidae) between reefs open and closed to fishing on the Great Barrier Reef

Variation in reproductive parameters of Plectropomus leopardus populations between coral reefs open and closed to fishing was examined in two geographic regions (off Townsville (19°S) and in the Swains (22°S)) of the Great Barrier Reef, Australia. The reproductive parameters that were examined included the operational (reproductive) sex ratio and size and age structure of mature females, sex-changing individuals (transitionals), and mature males. There was a greater proportion of males above the minimum size and age of harvest on reefs closed to fishing for 8-10 years than on reefs open to fishing, although the effect varied with geographic region. Nevertheless, neither the sex ratio, mean age, nor mean size of males or transitionals varied significantly with reef closure status. Females, however, were significantly older and larger on closed than on open reefs in both regions. Marked regional variations in the sex ratio and average age of transitionals were found independent of reef closure status, sugge.
Analysis of the Stability and Accuracy of Numerical Methods Applied to the Simulation of Electromagnetic Transients Involving Double Integration Steps

-This paper presents an analysis of some numerical integration methods that can be used for multirate simulation in electromagnetic transient programs. Among the existing methods, the trapezoidal, backward Euler and Simpson’s integration rules will be evaluated. These methods are analyzed regarding characteristics such as accuracy and stability when applied to the simulation of electrical transients involving two different time steps. The transient solution of an RLC network is then presented using these numerical methods and simulating it with double integration time steps.
A Discussion of the Current Limitations of Diabetes Etiology

The first step to consider in the process of Diabetes (DM) is that of genetic expression in which a wide spectrum of genes, currently considered to be more than 60 genes [1], coherently interact in order to express pre-pro-insulin (type 1 diabetes) however the interpretation of such data is complicated when considering that the spectrum of genes which express pre-pro-insulin can differ [2] e.g. between different racial subtypes.
Ensembling Classifiers for Detecting User’s Intentions behind Web Queries

-Clients input their solicitations by entering a short succession of question terms, which are further deciphered via web crawlers keeping in mind the end goal to give pertinent answers . So client didn't get right expectations from the web search tools. This paper uses another approach of k-means bunching calculation . This makes web crawlers enter players in comprehension and naturally recognize the client aims and give the legitimate outcomes auto proficiently settling a huge number of questions. In this paper we utilizing k-implies bunching and an element rich portrayal for client goals distinguishing proof its used to cases are then used to consequently classify new questions by means of correct terms coordinating . Its perform managed learning is a machine learning errand of construing a capacity from marked preparing information from the client expectations.
Models for the pedagogical integration of information and communication technologies: a literature review

Abstract Education was, is and will continue to be a field full of questions: Why to teach? What to teach? How to teach? What, how and when to evaluate? Moreover, while the same questions persist, answers to them do not. They are dynamic, and they are transformed according to the demands of the family, the company and government policies. To address these considerations, this article aims to present the results of research into the literature of the last two decades on the elements that characterize a pedagogical model and that have been taken into account in explorations with regard to the educational integration of information and communication technologies and to identify gaps for future research. The results show that only 11% of the literature reviewed addresses the four questions listed above and concludes on the need to deepen the factors that affect the success of the changes that are introduced in the school, which seek to generate processes of educational transformation, from a holistic perspective.
On a disease in man following tick-bites and occurring in Lourenço Marques

The grass in the vicinity of the town of Lourenço Marques is often infested by larval ticks, especially in places frequented by cattle. These ticks are so numerous as to constitute a veritable scourge, since they attack a variety of animals, and man is frequently a victim to their onslaughts. The ticks are especially prevalent in July and August. Their bites may produce merely a local effect, but in some persons general symptoms may follow.
Structure-preserving video super-resolution using three-dimensional convolutional neural networks

Abstract. Convolutional neural networks (CNN) have given rise to a new generation of video super-resolution (SR) technique. However, most existing CNN-based video SR algorithms treat the consecutive frames as a series of feature maps, just as the procedure performed in single image SR algorithms. We propose an end-to-end three-dimensional (3-D) CNN video SR framework. The input frames are considered as a cube in our framework. 3-D convolution is performed on it to extract features along spatial and temporal dimension. Image prior knowledge, such as optical flows, is introduced in reconstruction. A combination of mean square error loss and multiscale structure similarity index (MS-SSIM) loss is used to optimize the model. Experimental results show that the proposed method reconstructs high-resolution frames with more accurate and visually pleasant structures compared with state-of-the-art video SR algorithms. We also achieve comparable PSNR/SSIM results with less computation time.
COMPARISON OF CYCLE VARIABILITY BETWEEN GASOLINE AND E20 FUELLING OF A SUPERCHARGED SPARK IGNITION ENGINE

The reduction of pollutant emissions from the automotive engines by use of alternative fuels becomes a priority. The paper presents the preliminary results of cycle variability study for a turbocharged spark ignition engine fuelled with gasoline and bioethanol for rich, stoichiometric and lean dosages. The influence of bioethanol content in blends with gasoline on cycle variability of the combustion process is reflected in the calculated values of the cycle variability coefficients. The cycle variability decreases at E20 use comparative to gasoline.
The Impact of Hormonal Imbalances Associated with Obesity on the Incidence of Endometrial Cancer in Postmenopausal Women

Obesity has long been associated with endometrial cancer amongst postmenopausal women; in fact, obese women are more than twice as likely to develop endometrial cancer as women of normal weight. The risk of developing this type of cancer increases with weight gains in adulthood, especially among women who did not use hormonal therapy for menopause. Thus, with an association between menopause, obesity, and endometrial cancer established, it prompts the following question: what specific factors could cause higher risk levels for endometrial cancer in this cohort of women? In this paper, the factor of hormonal changes and imbalances associated with both obesity and menopause will be examined. The hormones that will be discussed are insulin and insulin-like factors, estrogen, and adipokines (specifically adiponectin, visfatin, and leptin).
MOBILITY ATLAS BOOKLET: AN URBAN DASHBOARD DESIGN AND IMPLEMENTATION

Abstract. The new data sources give the possibility to answer analytically the questions that arise from mobility manager. The process of transforming raw data into knowledge is very complex, and it is necessary to provide metaphors of visualizations that are understandable to decision makers. Here, we propose an analytical platform that extracts information on the mobility of individuals from mobile phone by applying Data Mining methodologies. The main results highlighted here are both technical and methodological. First, communicating information through visual analytics techniques facilitates understanding of information to those who have no specific technical or domain knowledge. Secondly, the API system guarantees the ability to export aggregates according to the granularity required, enabling other actors to produce new services based on the extracted models. For the future, we expect to extend the platform by inserting other layers. For example, a layer for measuring the sustainability index of a territory, such as the ability of public transport to attract private mobility or the index that measures how many private vehicle trips can be converted into electrical mobility.
A hybrid Sigma-Delta modulator with reusable SAR quantizer

A novel energy-efficient hybrid multi-bit Sigma-Delta modulator with a reusable successive approximation register (SAR) quantizer is proposed. By reusing the SAR quantizer, sampling capacitors in the first integrator of the modulator could be eliminated and almost rail to rail input signal range could be achieved by the modulator without the requirement of a high-swing analog adder in front of the quantizer, which is usually power hungry in multi-bit modulators. In this way, small capacitors could be used to meet the thermal noise requirements, thus reducing the power and area consumption. With an improved switching procedure, only a half number of the unit capacitors are needed in the SAR quantizer, which further reduce the area consumption.
Variations in Belowground Carbon Storage and Soil CO2 Flux Rates along a Wet Tropical Climate Gradient1

Abstract We used a humid tropical elevation gradient to examine the relationships among climate, edaphic conditions, belowground carbon storage, and soil respiration rates. We also compared open and closed canopy sites to increase the range of microclimate conditions sampled along the gradient, and determine the effects of canopy openings on C and P storage, and C dynamics. Total soil C, the light C fraction, and all of the component fractions of the P pool were significantly related to soil moisture, and all but total soil C were also significantly related to temperature. Both labile and recalcitrant soil P fractions were negatively correlated with the light C fraction, while the dilute HCl-extractable P pool, generally thought of as intermediate in availability, was positively correlated with light C, suggesting that P may play an important role in C cycling within these systems. Total fine root biomass was greatest at 1000 m elevation and lowest at 150 m, and was strongly and positively correlated with soil moisture content. Soil respiration rates were significantly and negatively correlated with fine root biomass and the light C fraction. In forested sites, soil respiration rates were strongly and negatively correlated with total belowground C pools (soils + roots + forest floor). Belowground C pools did not follow the expected increasing trend with decreases in temperature along the gradient. Our results indicated that in humid tropical forests, the relationships among soil C and nutrient pools, soil respiration rates, and climate are complex. We suggest that frequent and prolonged anaerobic events could be important features of these environments that may explain the observed trends.
From the Uncharacterized Protein Family 0016 to the GDT1 family: Molecular insights into a newly-characterized family of cation secondary transporters

The Uncharacterized Protein Family 0016 (UPF0016) gathers poorly studied membrane proteins well conserved through evolution that possess one or two copies of the consensus motif Glu-x-Gly-Asp-(Arg/Lys)-(Ser/Thr). Members are found in many eukaryotes, bacteria and archaea. The interest for this protein family arose in 2012 when its human member TMEM165 was linked to the occurrence of Congenital Disorders of Glycosylation (CDGs) when harbouring specific mutations. Study of the UPF0016 family is undergone through the characterization of the bacterium Vibrio cholerae (MneA), cyanobacterium Synechocystis (SynPAM71), yeast Saccharomyces cerevisiae (Gdt1p), plant Arabidopsis thaliana (PAM71 and CMT1), and human (TMEM165) members. These proteins have all been identified as transporters of cations, more precisely of Mn2+, with an extra reported function in Ca2+ and/or H+ transport for some of them. Apart from glycosylation in humans, the UPF0016 members are required for lactation in humans, photosynthesis in plants and cyanobacteria, Ca2+ signaling in yeast, and Mn2+ homeostasis in the five aforementioned species. The requirement of the UPF0016 members for key physiological processes most likely derives from their transport activity at the Golgi membrane in human and yeast, the chloroplasts membranes in plants, the thylakoid and plasma membranes in cyanobacteria, and the cell membrane in bacteria. In the light of these studies on various UPF0016 members, this family is not considered as uncharacterized anymore and has been renamed the Gdt1 family according to the name of its S. cerevisiae member. This review aims at assembling and confronting the current knowledge in order to identify shared and distinct features in terms of transported molecules, mode of action, structure, etc., as well as to better understand their corresponding physiological roles.
Comparison of Artificial Neural Networks and Logistic Regression for 30-days Survival Prediction of Cancer Patients

Introduction: A machine learning technique that imitates neural system and brain can provide better than traditional methods like logistic regression for survival prediction and create an algorithm by determining influential factors. Aim: To determine the influential factors on survival time of palliative care cancer patients and to compare two statistical methods for better prediction of survival. Methods: One-year data is gathered from the patients that we followed in the palliative care clinic of our hospital (2017-2018) (n = 189). All data were retrospectively evaluated. After descriptive statistics, we used Pearson and Spearman correlations for parametric and non-parametric variables. The Artificial Neural Networks (ANN) and logistic regression model were applied to parameters which have a significant correlation with short survival. Results: Significantly correlated variables with short survival were Palliative Performance Scale (PPS), Edmonton Symptom Assessment System (ESAS), Karnofsky Performance Scale (KPS), brain, liver, and distant metastasis, hemogram parameters, cero-reactive protein (CRP) and albumin (ALB). ANN model showed 89.3% prediction accuracy while the logistic regression model showed 73.0%. ANN model achieved a better AUC value of 0.86 than logistic regression model (0.76). Discussion: There are several prognostic evaluation tools such as PPS, KPS, CRP, albumin, leukocytes, neutrophil were reported several studies as survival-related parameters in logistic regression models, also. Many studies compare ANN with logistic regression. When we evaluated these parameters totally, we observed the same relations with survival then we used the same parameters in the ANN model. The effectivity of the survival prediction models can be improved with the use of ANN. Conclusion: ANN provides a more accurate estimation than logistic regression. ANN model is an important statistical method for survival prediction of cancer patients.
Methanosaeta concilii gen. nov. sp. nov. ("Methanothrix concilii") and Methanosaeta thermoacetophila nom. rev., comb. nov.?

Methanosaeta concilii gen. nov., sp. nov. (“Methanothrix concilii”) is described. Cells of species in the genus Methanosaeta are obligately anaerobic, gram-negative, nonmotile rods (length, 2.5 to 6.0 μm) with flat ends. The cells are enclosed within a proteinaceous, cross-striated sheath. Growth can occur as long filaments which represent chains of individual cells separated by spacer plugs and continuously enclosed by the tubular sheath. Acetic acid is used as the sole source of energy; its metabolism results in the production of about equimolar amounts of CH4 and CO2. Acetic acid and CO2 are carbon sources for growth. The description of Methanosaeta concilii, the type species, is based on type strain GP6 (= DSM 3671 = OGC 69 = NRC 2989 = ATCC 35969).
Testing the Mechanism of Action of Computerized Cognitive Training in Young Adults with Depression: Protocol for a Blinded, Randomized, Controlled Treatment Trial

Background: Depression is associated with a broad range of cognitive deficits, including processing speed (PS) and executive functioning (EF). Cognitive symptoms commonly persist with the resolution of affective symptoms and increase risk of relapse and recurrence. The cognitive control network is comprised of brain areas implicated in EF and mood regulatory functions. Prior research has demonstrated the effectiveness of computerized cognitive training (CCT) focused on PS and EF in mitigating both cognitive and affective symptoms of depression. Methods: Ninety participants aged 18–29 with a current diagnosis of major depressive disorder or persistent depressive disorder, or a Hamilton Depression Rating Scale score ≥12, will be randomized to either PS/EF CCT, verbal CCT, or waitlist control. Participants in the active groups will complete 15 min of training 5 days/week for 8 weeks. Clinical and neuropsychological assessments will be completed at baseline, week 4, week 8, and 3-month follow-up. Structural and functional magnetic resonance imaging (fMRI) will be completed at baseline and week 8. We will compare changes in mood, cognition, daily functioning, and fMRI data. We will explore cognitive control network functioning using resting-state and task-based fMRI. Results: Recruitment began in October 2019; we expect to finish recruitment by April 2022 and subsequently begin data analysis. Conclusions: This study is innovative in that it will include both active and waitlist control conditions and will explore changes in neural activation. Identifying the neural networks associated with improvements following CCT will allow for the development of more precise and effective interventions. Trial Registration: ClinicalTrials.gov NCT03869463; https://clinicaltrials.gov/ct2/show/NCT03869463.
Molecular Mechanisms and Clinical Manifestations of Catecholamine Dysfunction in the Eye in Parkinson’s Disease As a Basis for Developing Early Diagnosis

This review provides information on the non-motor peripheral manifestations of Parkinson’s disease (PD) associated with a pathology of the visual analyzer and the auxiliary apparatus of the eye. The relationship between neurodegenerative processes that take place in the brain and in the eye opens new prospects to use preventive ophthalmologic examination to diagnose PD long before the characteristic motor symptoms appear. This will encourage the use of neuroprotective therapy, which stops, or at least slows down, neuronal death, instead of the current replacement therapy with dopamine agonists. An important result of an eye examination of patients with PD may be a non-invasive identification of new peripheral biomarkers manifesting themselves as changes in the composition of the lacrimal fluid.
Diagnostic and prognostic values of upregulated SPC25 in patients with hepatocellular carcinoma

Background Spindle pole body component 25 (SPC25) plays a vital role in many cellular processes, such as tumorigenesis. However, the clinical significance of SPC25 in hepatocellular carcinoma (HCC) has not been investigated. This study aimed to explore the expression patterns of SPC25 in HCC and non-neoplastic tissues and to investigate the diagnostic and prognostic values of SPC25. Method The expression of SPC25 was examined in 374 HCC issues and 50 non-neoplastic tissues from The Cancer Genome Atlas (TCGA) cohort. The diagnostic and prognostic values of SPC25 were analyzed via receiver operating characteristic (ROC) curve and survival analyses, respectively. Univariate and multivariate Cox regression analyses were used to identify the prognostic factors and to establish a nomogram. The diagnostic and prognostic values were further validated in an external cohort from the International Cancer Genome Consortium (ICGC) database. Results The expression of SPC25 in HCC tissues was significantly higher than that in normal tissues in both cohorts (all P < 0.001). The ROC curve analysis indicated that SPC25 expression has high diagnostic value in HCC with area under the curve (AUC) value of 0.969 (95% confidence interval [CI] [0.948–0.984]) and 0.945 (95% CI [0.920–0.965]) for TCGA and ICGC cohorts, respectively. Patients with HCC exhibiting high SPC25 expression were associated with worse prognosis than those exhibiting low SPC25 expression in both cohorts (all P < 0.001). SPC25 was independently associated with overall survival in both cohorts (all P < 0.001). The concordance indices of the nomogram for predicting overall survival in TCGA and ICGC cohorts were 0.647 and 0.805, respectively, which were higher than those of the American Joint Committee on Cancer (AJCC) staging system. Conclusion SPC25 was upregulated in HCC and independently predicted poor overall survival of patients with HCC. Therefore, SPC25 is an effective diagnostic and prognostic biomarker for HCC. An SPC25-based nomogram was more accurate and useful than the AJCC staging system to predict prognosis of HCC.