Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of environmental heterogeneity on the morphological and genetic diversity of Circaea lutetiana (Onagraceae) in Hyrcanian forests

Environmental gradients are important factors that can potentially influence the genetic diversity and differentiation of populations. The present study examines the effect of environmental heterogeneity of the Hyrcanian forests on populations of Circaea lutetiana L. (Onagraceae). Using morphometrics, scanning electron microscopy (SEM) of leaf epidermis, and molecular markers, we analyzed genetic diversity and differentiation among nine populations from environmentally divergent habitats. Three different gene pools were observed. Our results indicate that the genetic structure is significantly correlated to environmental factors, but not to the geographical distance. Genetic clustering in C. lutetiana is affected by temperature, humidity, elevation, and average annual rainfall. Overall, our data indicate that gene flow does not contribute to explaining spatial patterns of genetic structure and the adaptation to the environment is the main factor shaping the genetic structure of the C. lutetiana populations. The populations belonging to each of the three gene pools have similarities in microclimate parameters, despite their geographical proximity, and populations from the same genetic pool can be up to 470 km apart. This evidence, as well as morphological and genetic similarities of the populations with greater geographical distance, suggest the possibility of cryptic speciation in this species.
The Carnivalized Metropolis: The Street Carnival Groups as Surrealists and Situacionists Performances in Rio de Janeiro

The street carnival in Rio de Janeiro, cultural manifestation in rapid growth in the last three decades, has been the target of recent investments by the government and commercial interests. One of the consequences of this intervention was the distinction of blocos de rua (street carnival groups) between official and unofficial. This article will deal with this second type of groups, characterized by spontaneity and horizontality, taking as an exemplary case the group named Cordão do Boi Tolo. Such manifestations substantiate city experiences that impose themselves, from the aesthetic and cultural point of view, as creative experiences of performatization of bodies. From a political perspective, they are libertarian forms of occupation of public space and of redefining the uses of the city. Combining literary analysis, sociological reflection and ethnographic observation, the article intends to discuss this street carnival as an unexpected extension of the surrealist and situationist proposals for the re-enchantment of the world and the manifestation of the wonderful. It concludes that the magic that literature works in surrealism continues to be updated in the streets and crossroads of Rio de Janeiro by the blocos de rua, in their opposition to institutional powers and market control. It is in the enjoyment of the city by the revelers that the flânerie becomes creative writing of reality. It is in the streets of the carnivalized metropolis that the dérive is rooted in the oldest traditions of the square as a free space of popular creation.
METHODS FOR OBTAINING SILVER NANOPARTICLES - A REVIEW.

Silver has been part of active medical use for treatment and disinfection from ages, even in the present times. Particularly relevant today is the question of the effect of silver nanoparticles on bacteria and viruses, including against COVID-19. The study reviews distinct methods for producing silver nanoparticles. The comparison and preferences of different methods based on their classification and features are reviewed. The main goal of this study is to reveal the top-notch method and their benefits and prospects of the possibilities of the method laser ablation, as a costeffective and environment friendly technology for generating silver nanoparticles in an aqueous environment. The method of Pulsed Laser Ablation in Liquid for obtaining nanoparticles is explained in detail. The paper is divided into several main parts, starting with a briefing on silver and its nanoparticles and is followed by various methods for their production.
LARGER RECEPTIVE FIELD BASED RGB VISUAL RELOCALIZATION METHOD USING CONVOLUTIONAL NETWORK

Visual Relocalization is a key technology in many computer vision applications. Traditional visual relocalization is mainly achieved through geometric methods, while PoseNet introduces convolutional neural network in visual relocalization for the first time to realize real-time camera pose estimation based on a single image. Aiming at the problem of accuracy and robustness of the current PoseNet algorithm in complex environment, this paper proposes and implements a new high-precision robust camera pose calculation method (LRF-PoseNet). This method directly adjusts the size of the input image without cropping, so as to increase the receptive field of the training image. Then, the image and the corresponding pose tags are input into the improved LSTM-based PoseNet network for training, and the Adam optimizer is used to optimize the network. Finally, the trained network is used to estimate the camera pose. Experimental results on open RGB dataset show that the proposed method in this paper can obtain more accurate camera pose compared with the existing CNN-based methods.
Frequency and predictors of diagnostic coronary angiography and percutaneous coronary intervention related to stroke.

BACKGROUND Stroke related to percutaneous coronary interventions (PCIs) is an infrequent complication, potentially life-threatening and often leading to serious disability. AIMS The study aim is to assess the relationship between the type of coronary procedure and incidence of stroke as well as its predictors. METHODS This retrospective analysis was performed on prospectively collected data gathered in the Polish National Registry of Percutaneous Coronary Interventions (ORPKI) between January 2014 and December 2019, and included 1177 161 coronary procedures. Among them, 650,674 patients underwent isolated diagnostic coronary angiography (DCA) and 526,487 PCI. Stroke was diagnosed in 157 patients (0.013%), of which 100 (0.015%) during DCA and 57 (0.011%) during PCI. Multivariable logistic regression analysis was performed to separate predictors of stroke in patients undergoing coronary angiography and PCI. RESULTS The percentage of patients with periprocedural stroke was higher in a group treated with isolated DCA during the analysed time. Among predictors of stroke in patients undergoing DCA we confirmed prior stroke (P <0.001), contrast amount (P = 0.007), femoral access (P = 0.002), unfractionated heparin use (P = 0.01), direct transport (P = 0.04), older age (P <0.001) and multi-vessel disease (P <0.001). While for PCI ± DCA, these were: prior stroke (P <0.001), thrombolysis (P = 0.003), treatment with bivalirudin (P <0.001) and acetyl-salicylic acid loading during PCI (P = 0.003). CONCLUSIONS Based on the large national registry, PCI ± DCA is associated with fewer risk factors and lower rate of periprocedural strokes than isolated DCA.
Aesthetics of Virtual: The Development Opportunities of Virtual Museums in Indonesia

The Covid-19 pandemic requires us to carry out physical and social distancing. It is undeniable, this also has an impact on government policy to close tourist destinations, including museums. Currently, sophisticated 3D visualization technology provides the potential for the development of virtual museums. The virtual museums were developed for giving the experience of the visiting museum in the digital world as a distance learning. This application can provide immersion through interactivity while exploring virtual museums. Basically, this article explains the aesthetic investigations in some virtual museums. The researchers describe the aesthetic of each sampled virtual museums projects. The literature synthesis of several virtual museums projects is expected to be able to give an idea of the potential development of virtual museums in Indonesia. The aesthetics of virtual elements could be used as a recommendation for museum conservator for the development of prospective Indonesian virtual museums. Furthermore, the aesthetics of virtual in digital museums provide opportunities to present virtual museums exploration experiences.
Emotional Analysis of Twitter Posts During the First Phase of the COVID-19 Pandemic in Greece: Infoveillance Study

Background The effectiveness of public health measures depends upon a community’s compliance as well as on its positive or negative emotions. Objective The purpose of this study was to perform an analysis of the expressed emotions in English tweets by Greek Twitter users during the first phase of the COVID-19 pandemic in Greece. Methods The period of this study was from January 25, 2020 to June 30, 2020. Data collection was performed by using appropriate search words with the filter-streaming application programming interface of Twitter. The emotional analysis of the tweets that satisfied the inclusion criteria was achieved using a deep learning approach that performs better by utilizing recurrent neural networks on sequences of characters. Emotional epidemiology tools such as the 6 basic emotions, that is, joy, sadness, disgust, fear, surprise, and anger based on the Paul Ekman classification were adopted. Results The most frequent emotion that was detected in the tweets was “surprise” at the emerging contagion, while the imposed isolation resulted mostly in “anger” (odds ratio 2.108, 95% CI 0.986-4.506). Although the Greeks felt rather safe during the first phase of the COVID-19 pandemic, their positive and negative emotions reflected a masked “flight or fight” or “fear versus anger” response to the contagion. Conclusions The findings of our study show that emotional analysis emerges as a valid tool for epidemiology evaluations, design, and public health strategy and surveillance.
Effect of Acid-Base Disorders on Mortality and Level of consciousness for Patients Admitted to Intensive Care Unit: A Prospective Observational Study

Background: Acid-base disorders are very common in critically ill as well as contribute significantly to morbidity and mortality. Aim: To evaluate the effect of acid-base disorders on mortality and level of consciousness for patients admitted to ICU. Design: descriptive exploratory research design was utilized to conduct this study . Setting: This study was carried out in anesthesia intensive care units at Assiut university hospital. Sample: One hundred sixty adult male and female patients. Tools: Two tools were used in this study, the Critically Ill Patients Characteristics tool, and Acid-base parameters assessment tool. Result: more than one third of the patients (36.3%) had respiratory alkalosis and was the most common acid-base disorder observed on admission . Metabolic acidosis and respiratory acidosis was associated with higher mortality (36.4%), and (22.75). Length of ICU stay was significantly higher in non-survivors (10.23±6.91 versus 7.60±4.69, p= 0.007). Mortality was significantly higher in the GCS < 9 group with metabolic acidosis (37.5 % versus 33.3 %, p=0.033). Conclusion: Respiratory alkalosis was a common acidbase disorder. Acidemia whether due to metabolic or respiratory acidosis is associated with increased mortality in ICU patients. Low GCS low is associated with increased mortality especially in the patients with metabolic acidosis. Recommendation: Closely monitoring and early managment is important to correct acid-base imbalance to avoid poor patient outcomes.
Association of SNP g.232 G>T Calpain Gene with Growth and Live Meat Quality Prediction using Ultrasound Images in Bali Cattle

Bali cattle (Bos javanicus) are native Indonesian cattle, domesticated from banteng (Bibos banteng). Genes that have an important role in meat quality are calcium-activated neutral protease genes, known as calpains (CAPN). The objective of this study was to evaluate the polymophisms of calpain gene SNP g.232 G>T by PCR-RFLP technique and its influence on growth trait and meat quality of Bali cattle detected by ultrasound imaging of longissimus dorsi thickness (LDT), back fat thickness (BFT), marbling score (MS), and intramuscular fat percentage (PIMF). The polymorphisms of CAPN1 gene were analyzed by PCR-RFLP using BglII restriction enzyme (n=52 cattle). The ultrasound images of longissimus dorsi muscle were carried out transversally and longitudinal between 12th -13th thoracic vertebrae then analyzed by Image-J NIH software. Result showed that SNP g.232 G>T of CAPN1 gene was polymorphic in Bali cattle. SNP g.232 G>T of CAPN1 gene in Bali cattle has higher diversity which was showed of 0.48 heterozygosity value and was in Hardy-Weinberg equilibrium. The polymorphisms of SNP g.232 G>T was associated significantly (P<0.05) with bodyweight at 730 days, marbling score (MS), and intramuscular fat percentage (PIMF). It suggests that the CAPN1 gene in Bali cattle is a candidate for Marker Assisted Selection (MAS), which influences body weight at 730 days, marbling score, and percentage of intramuscular fat.
VALIDATION OF A UAV-DERIVED POINT CLOUD BY SEMANTIC CLASSIFICATION AND COMPARISON WITH TLS DATA

Recent years showed a gradual transition from terrestrial to aerial survey thanks to the development of UAV and sensors for it. Many sectors benefited by this change among which geological one; drones are flexible, cost-efficient and can support outcrops surveying in many difficult situations such as inaccessible steep and high rock faces. The experiences acquired in terrestrial survey, with total stations, GNSS or terrestrial laser scanner (TLS), are not yet completely transferred to UAV acquisition. Hence, quality comparisons are still needed. The present paper is framed in this perspective aiming to evaluate the quality of the point clouds generated by an UAV in a geological context; data analysis was conducted comparing the UAV product with the homologous acquired with a TLS system. Exploiting modern semantic classification, based on eigenfeatures and support vector machine (SVM), the two point clouds were compared in terms of density and mutual distance. The UAV survey proves its usefulness in this situation with a uniform density distribution in the whole area and producing a point cloud with a quality comparable with the more traditional TLS systems.
MOTIVACIÓN INTRÍNSECA, INTELIGENCIA EMOCIONAL Y AUTORREGULACIÓN DEL APRENDIZAJE: UN ANÁLISIS MULTINIVEL

La finalidad del estudio es modelar, por primera vez, las relaciones entre la motivación intrínseca, la inteligencia emocional y la autorregulación del aprendizaje en las clases de Educación Física (EF). La muestra estuvo formada por 480 estudiantes (248 varones y 232 mujeres) de cuarto curso de Educación Primaria (M = 9,29, DT = 0,52) procedentes de un total de 23 clases de EF. El análisis multinivel, tomando la motivación intrínseca como variable dependiente, reveló un efecto estadísticamente significativo para el profesor (colegio), la planificación, la autocomprobación, el esfuerzo, la regulación, el control emocional y el reconocimiento emocional. La reducción en el coeficiente de correlación intraclase, del modelo nulo al modelo final, fue aproximadamente del 67%. Promover el desarrollo de inteligencia emocional y la mejora de la autorregulación en las clases de EF podría incrementar la motivación intrínseca del alumnado por la materia.
Kinetic Study of Subcritical Water Extraction of Carbohydrate from Microalgae Nannochloropsis sp.

Microalgae contain a significant amount of carbohydrates that can be converted further to produce valuable compounds. To extract carbohydrates from microalgae, subcritical water extraction (SWE) is a viable and novel method. Compared to other existing chemical and biological extraction methods, SWE is more economical, effective, and efficient in terms of process conditions. This process uses high temperature and pressure of water at just below supercritical conditions to keep water at a liquid state. This study aims to investigate the factors that affect the extraction yield of carbohydrates from microalgae Nannochloropsis sp. using the SWE process. The extraction was carried out at a temperature of 160 – 320 C, a duration of 5 – 25 min, and microalgal biomass loading of 5 25% w/v. The kinetics study was conducted in an extraction time of 5 – 25 min at 200 C and 5% (w/v) biomass loading. A simplified kinetic model based on a consecutive reaction was used to describe carbohydrate production and decomposition via SWE. It was found that the maximum yield of total carbohydrate was 18.04 g/100 g which was obtained at 200 C, 10 min, and 5% (w/v) microalgal biomass loading. The carbohydrate concentration was decreased as the temperature, extraction time and microalgal biomass loading increased. This result indicated that the SWE is a promising extraction method for carbohydrate recovery from microalgae, and the factors investigated here had a significant effect on the extraction process. The proposed kinetic model was also able to capture the experimental data well within the range of operating conditions studied in this work.
Human Capital Production and Parental Beliefs

In this paper we incorporate parental beliefs about returns to parental time investments in the estimation of a human capital production function. We proceed in three steps. First, we use data collect on parental beliefs about returns to parental time investments using hypothetical scenarios to predict parental investments. Second, using the British Cohort Study we estimate a dynamic latent factor model of cognitive and noncognitive skill production and document how these skills map into outcomes over the lifecycle. Third, we combine the estimates from the two previous steps to simulate the effect of a shift in beliefs on investments and child outcomes. We find that increasing beliefs about the returns to investments for parents with low perceived returns has large payoffs in terms of the future earnings of a child. The gains from increasing beliefs are greatest for children with parents at the bottom of the income distribution.
Lumbar intervertebral disks: morphometric parameters and indices

An important element of evidence-based medicine is to take into account the individual variability of the indicators of the norm of intervertebral discs, which is undoubtedly the basis for early preclinical detection of their pathology. Mathematical modeling and comprehensive assessment of the parameters of the intervertebral discs can not only predict and determine the early manifestations of pathological changes, but also help to correct them in advance. The aim of the study was to calculate and evaluate the variability of absolute, calculated and relative metric parameters of intervertebral discs in the norm with the subsequent possibility of modeling standards based on individual linear dimensions of intervertebral discs of the lumbar spine and general anthropometric characteristics (body length and weight) in young men and men of the first period of adulthood (17-28 years), both in separate age groups and in the combined group. The series of MRI scans obtained on a Phillips Achieva 1.5T scanner measured the anterior, middle and posterior vertical dimensions, maximum sagittal and frontal dimensions of the intervertebral discs L1-L2, L2-L3, L3-L4, L4-L5 segments of the spine (IVDL1-L2, IVDL2-L3, IVDL3-L4, IVDL4L5). We calculated the average height of the intervertebral discs, cross-sectional area and volume of intervertebral discs, as well as relative indicators the ratio of the sum of sagittal and transverse dimensions, the sum of three dimensions, cross-sectional area and volume of intervertebral discs to the average intervertebral disc height. Statistical analysis of the obtained morphometric parameters was performed in the license package "STATISTICA 6.1". The distribution of variation series indicators, their average values and standard errors, coefficients of variation and asymmetry were evaluated. It was determined that the sums of the transverse and sagittal sizes and the sums of the three sizes increase proportionally in the caudal direction, have a distribution of indicators as close as possible to normal, and their coefficients of variation are many times smaller than for cross-sectional areas and volumes. Indicators of the ratio of the sum of the sagittal and transverse size and the sum of the three sizes to the average height of the intervertebral discs have a variability of less than 10% and correspond to the characteristics of the general population. Body weight and length have significantly higher correlation coefficients with the sums of sagittal and transverse dimensions, the sums of three dimensions and cross-sectional areas than with the partial dimensions of the intervertebral discs.
TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY

This research is the first to apply MeshCNN – a deep learning model that is specifically designed for 3D triangular meshes – in the photogrammetry domain. We highlight the challenges that arise when applying a mesh-based deep learning model to a photogrammetric mesh, especially w.r. t. data set properties. We provide solutions on how to prepare a remotely sensed mesh for a machine learning task. The most notable pre-processing step proposed is a novel application of the Breadth-First Search algorithm for chunking a large mesh into computable pieces. Furthermore, this work extends MeshCNN such that photometric features based on the mesh texture are considered in addition to the geometric information. Experiments show that including color information improves the predictive performance of the model by a large margin. Besides, experimental results indicate that segmentation performance could be advanced substantially with the introduction of a high-quality benchmark for semantic segmentation on meshes.
FUZZY APPROACH TO DEVICE LOCALIZATION BASED ON WIRELESS NETWORK SIGNAL STRENGTH

The paper presents an original approach to device location detection in a building. The new method is based on a map of individual interiors, drawn up based on the measurements of the strength of wireless network signals for each building venue. The device is initially assigned to all venues whose descriptions sufficiently correspond with the current measurements taken by the device. A fuzzy assignment level for each of the potentially considered venues depends on the difference between the averaged network strengths for the venue and the signal strengths currently measured with the device for localization purposes. Ultimately, the device is assigned to the venue with the highest level of assignment.
Assessing SO 2 , NO 2 and O 3 in rural areas of the North West Province

Introduction Anthropogenic activities are increasing the ambient tropospheric concentrations of inorganic gaseous pollutants, which include nitrogen dioxide (NO2), sulphur dioxide (SO2) and ozone (O3). These species are globally considered as important pollutants and are criteria pollutants according to the South African National Environment Management: Air Quality Act of 2004 (Government Gazette 2005).