Miracle-dz/UniFAR-FTUs huggingface dataset:
A Case Series of Ethmoidal Dural Arteriovenous Fistulas Treated by Endovascular Embolization with Onyx

Introduction: Ethmoidal dural arteriovenous fistulas (eDAVFs) are an unusual type of intracranial vascular lesion that commonly present with acute haemorrhage. Aim: We presented 3 cases of ethmoidal DAVFs treated effectively by endovascular embolization with Onyx. Results: 3 patients hospitalized by reasons of stroke (2 cases) and vision impairment of the right eye (1 case). The digital subtraction angiography (DSA) showed the fistulas supplied by ethmoidal branches of the ophthalmic arteries (3 cases) and an additional supply from the ethmoidal branches of the internal maxillary artery (1 case). The cortical venous drainage was dilated and flowed to the superior sagittal sinus. The superselective microcatheterization through the ophthalmic artery allowed injection of Onyx sufficient plug around the distal end of the catheter without any complications. Conclusion: eDAVFs with neurologic complications could be treated effectively by endovascular embolization with Onyx.
US Forest Service Implementation of the National Environmental Policy Act: Fast, Variable, Rarely Litigated, and Declining

This paper draws on systematic data from the US Forest Service’s (USFS) Planning, Appeals and Litigation System to analyze how the agency conducts environmental impact assessments under the National Environmental Policy Act (NEPA). We find that only 1.9 percent of the 33,976 USFS decisions between 2005 and 2018 were processed as Environmental Impact Statements, the most rigorous and time-consuming level of analysis, whereas 82.3 percent of projects fit categorical exclusions. The median time to complete a NEPA analysis was 131 days. The number of new projects has declined dramatically in this period, with the USFS now initiating less than half as many projects per year as it did prior to 2010. We find substantial variation between USFS units in the number of projects completed and time to completion, with some units completing projects in half the time of others. These findings point toward avenues for improving the agency’s NEPA processes.
A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus

Estimating the electricity load is a crucial task in the planning of power generation systems and the efficient operation and sustainable growth of modern electricity supply networks. Especially with the advent of smart grids, the need for fairly precise and highly reliable estimation of electricity load is greater than ever. It is a challenging task to estimate the electricity load with high precision. Many energy demand management methods are used to estimate future energy demands correctly. Machine learning methods are well adapted to the nature of the electrical load, as they can model complicated nonlinear connections through a learning process containing historical data patterns. Many scientists have used machine learning (ML) to anticipate failure before it occurs as well as predict the outcome. ML is an artificial intelligence (AI) subdomain that involves studying and developing mathematical algorithms to understand data or obtain data directly without relying on a prearranged model algorithm. ML is applied in all industries. In this paper, machine learning strategies including artificial neural network (ANN), multiple linear regression (MLR), adaptive neuro-fuzzy inference system (ANFIS), and support vector machine (SVM) were used to estimate electricity demand and propose criteria for power generation in Cyprus. The simulations were adapted to real historical data explaining the electricity usage in 2016 and 2107 with long-term and short-term analysis. It was observed that electricity load is a result of temperature, humidity, solar irradiation, population, gross national income (GNI) per capita, and the electricity price per kilowatt-hour, which provide input parameters for the ML algorithms. Using electricity load data from Cyprus, the performance of the ML algorithms was thoroughly evaluated. The results of long-term and short-term studies show that SVM and ANN are comparatively superior to other ML methods, providing more reliable and precise outcomes in terms of fewer estimation errors for Cyprus’s time series forecasting criteria for power generation.
An Active Plume Eruption on Europa During Galileo Flyby E26 as Indicated by Energetic Proton Depletions

Strong depletions of energetic protons (115–244 keV) were observed during Galileo flyby E26 of Europa. We simulate the flux of energetic protons using a Monte Carlo particle backtracing code and show that energetic proton depletions during E26 are reproduced by taking into account the perturbations of the electromagnetic fields calculated by magnetohydrodynamic (MHD) simulations and charge exchange with a global atmosphere and plume. A depletion feature occurring shortly after closest approach is driven by plume associated charge exchange, or a combination with plume associated field perturbations. We therefore conclude, with a new method and independent data set, that Galileo could have encountered a plume during E26.
Hydrolysis of grape monoterpenyl glycosides by Candida molischiana and Candida wickerhamii β-glucosidases

The exocellular β-glucosidases of Candida molischiana and Candida wickerhamii are able to hydrolyse geranyl, neryl, citronellyl, linalyl and α-terpinyl-β-D-glucopyranosides. The nature of the aglycone residue greatly affects the rate of hydrolysis. Glucosides with a tertiary alcohol as aglycone residue are more slowly hydrolysed than those with a primary alcohol. The β-glucosidase from C molischiana is also able to hydrolse α-L-arabinofuranosides. This results in the release of monoterpenols from a glycoside extract from grape juice.
The Relationship between the Factors and Conditions of the Autonomy of Preschool Teachers and Fostering the Autonomy of Preschool Children in Kindergarten

In the paper, we argue that fostering the autonomy of children in kindergarten contributes to the positive effects of the individual’s autonomy later in life. Various sources substantiate the assumption that there is a relationship between the child’s autonomy and the autonomy of educators. In the paper, we identify and investigate how preschool teachers evaluate the factors of their own professional autonomy, we determine the factors and conditions that, in their opinion, foster the autonomy of preschool children, and we verify whether the assessment of both factors and conditions affects the actual state of the stimulation of the autonomy of children in kindergarten. With regard to fostering the autonomy of children, we have in mind the participation of children, enabling them to play and learn and to manipulate materials and teaching aids in their own way, so that preschool teachers can offer them a choice, take into account their feelings and perspectives, and provide them with rational feedback. The results of the research show that an evaluation of the factors and conditions for fostering the autonomy of children by preschool teachers (N = 524) has a beneficial effect on fostering the autonomy of the children, but it is not crucial. The most important factors in fostering the autonomy of children are the preschool teacher as a person and the participation of children.
Generation of Digital Signature for Blockchain victimization Hash operate

: This paper considers the issue about advanced mark age, and advances the code to actualize this. We can make a protected way for the transmission of any exchange or information. This strategy is utilized in the blockchain innovation. We can actualize it utilizing various strategies, here we are utilizing hash work. Here in this paper we have used the Xilinx 14.7 ISE design suit software for simulation
SML ON HIGH FREQUENCY TRADING DATA

— Market traders often try to predict the financial market trends and try to extract information from the trading of the various securities. To extrapolate these trends, practitioners often use a fundamental concept of capital asset pricing model (CAPM). The main purpose of this paper is to explore the High-Frequency Trading (HFT) data to verify the Efficient Market Hypothesis (EMH) as assumed by the Security Market Line (SML) using statistical methods and to find abnormal returns above the market, if exist, using the proposed model. The paper then validates the pragmatism of the obtained abnormal return using a rolling window of short interval of time trading strategy.
Gel time prediction of polyester resin for lamination of polymer composites

Lamination of fibre reinforced plastics (FRP) and catalytic curing of unsaturated polyester (UP) resin were the major focus of this study. The polyester resin was cured at ambient temperature with methyl ethyl ketone peroxide (MEKP) catalyst, cobalt octoate accelerator and phenol inhibitor. This was used to generate model equations that can predict the gel time of polyester resin when curing additives are added. The gelation was obtained by stirring 20 g of catalysed UP resin weighed into a plastic container until the viscosity suddenly increased. Gel times obtained were subjected to regression analysis and analysis of variance (ANOVA) so as to obtain the best predictive model. The ANOVA result showed that the gel time (Ti) in terms of inhibitor concentration, Ti = 2820i – 6 was the best predictive equation of the gel time with a degree of accuracy of 98.89%; where i is the inhibitor concentration. In the model, catalyst and accelerator are at constant concentrations of 1% and 0.5%, respectively. The model was validated by laminating pilot components using hand lay-up technique. Thereafter, a laminating template was developed that would aid in reducing material wastes and lengthy down time during FRP lamination. This will be useful in increasing productivity and profitability in FRP small scale industry. Bull. Chem. Soc. Ethiop. 2020, 34(1), 163-174. DOI: https://dx.doi. org/10.4314/bcse.v34i1. 16
Ein α-Methylanthrachinon aus Streptomyceten

An α-Methylanthraquinone from Streptomycetes From cultures of several streptomycete strains producing isochromanquinone antibiotics (4, 5), 3,8-dihydroxy-1-methylanthraquinone-2-carboxylic acid (2b), one of the rare naturally occurring α-methylanthraquinones, was isolated. Native compounds of this group became known only as insect pigments (e.g. 1d) and later on as constituents of a few plants. A common biosynthesis of benzoisochromanquinones and α-methylanthraquinones is discussed.
Oviposition Preferences in Newts: Does Temperature Matter?

A female’s decision where and when to place her eggs has important fitness consequences for her offspring. Although temperature is considered among the most relevant abiotic factors affecting female oviposition site choice in ectotherms, little is known about the relative importance of temperature cues in complex oviposition decisions. In this study, we examined female’s oviposition choice under conflicting demands for temperature and embryo protection by studying oviposition behaviour in female alpine newts, Triturus alpestris, exposed to various thermal conditions and the availability of egg-wrapping vegetation. Females oviposited between 12.5 and 22.5°C in the aquatic thermal gradient (5–32.5°C) with the unrestricted availability of oviposition vegetation. The removal of the vegetation from predominantly chosen oviposition temperatures (15–20°C) induced egg-retention in most females. This suggests that both temperature and the presence of egg-wrapping vegetation play important roles in oviposition site choice of alpine newts.
Changes in the concentration of organic acids during the soaking of soybeans for tempe production

Summary Soybeans were soaked for 24h in tap water at 30°C in preparation for tempe fermentation. Soaking was conducted under conditions that give a microbial fermentation, and in the presence of antibiotics where microbial growth was inhibited. Valeric, propionic, formic and acetic were the main acids in the beans. Their concentrations decreased progressively during soaking as they were leached from the bean into the soak-water. At the end of soaking, lactic and malic were the main acids in the beans. They were produced by microbial fermentation in the soak-water and diffused into the beans. The concentration of acids produced in the soak-water was determined by the microbial species responsible for the fermentation.
Capri: Consensus Accelerated Proximal Reweighted Iteration for A Class of Nonconvex Minimizations

We consider a class of nonconvex regularized optimization problems, which appear frequently in machine learning and data processing. Due to the structure of the problems, the iteratively reweighted algorithm was developed and applied to the consensus optimization. In this paper, we propose the acceleration of this scheme by adding an inertial term in each iteration. The proposed algorithms inherit the advantages of classical decentralized algorithms: they can be implemented over a connected network, in which the agents communicate with their neighbors and perform local computations. We also employ the diminishing stepsizes technique for the iteratively reweighted algorithm and consider its acceleration. In specific cases, our algorithms reduce to existing decentralized schemes and also indicate novel ones. Mathematically, we prove the convergence for both algorithms with several assumptions on the objective functions. With Kurdyka-Łojasiewicz property, convergence rates can be derived for constant stepsize case. Numerical results demonstrate the efficiency of the algorithms.
Camera Re-Localization with Data Augmentation by Image Rendering and Image-to-Image Translation

Die Selbstlokalisierung von Automobilen, Robotern oder unbemannten Luftfahrzeugen sowie die Selbstlokalisierung von Fusgangern ist und wird fur eine Vielzahl an Anwendungen von hohem Interesse sein. Eine Hauptaufgabe ist die autonome Navigation von solchen Fahrzeugen, wobei die Lokalisierung in der umgebenden Szene eine Schlusselkomponente darstellt. Da Kameras etablierte fest verbaute Sensoren in Automobilen, Robotern und unbemannten Luftfahrzeugen sind, ist der Mehraufwand diese auch fur Aufgaben der Lokalisierung zu verwenden gering bis gar nicht vorhanden. Das gleiche gilt fur die Selbstlokalisierung von Fusgangern, bei der Smartphones als mobile Plattformen fur Kameras zum Einsatz kommen. Kamera-Relokalisierung, bei der die Pose einer Kamera bezuglich einer festen Umgebung bestimmt wird, ist ein wertvoller Prozess um eine Losung oder Unterstutzung der Lokalisierung fur Fahrzeuge oder Fusganger darzustellen. Kameras sind zudem kostengunstige Sensoren welche im Alltag von Menschen und Maschinen etabliert sind. Die Unterstutzung von Kamera-Relokalisierung ist nicht auf Anwendungen bezuglich der Navigation begrenzt, sondern kann allgemein zur Unterstutzung von Bildanalyse oder Bildverarbeitung wie Szenenrekonstruktion, Detektion, Klassifizierung oder ahnlichen Anwendungen genutzt werden. Fur diese Zwecke, befasst sich diese Arbeit mit der Verbesserung des Prozesses der Kamera-Relokalisierung. Da Convolutional Neural Networks (CNNs) und hybride Losungen um die Posen von Kameras zu bestimmen in den letzten Jahren mit etablierten manuell entworfenen Methoden konkurrieren, ist der Fokus in dieser Thesis auf erstere Methoden gesetzt. Die Hauptbeitrage dieser Arbeit beinhalten den Entwurf eines CNN zur Schatzung von Kameraposen, wobei der Schwerpunkt auf einer flachen Architektur liegt, die den Anforderungen an mobile Plattformen genugt. Dieses Netzwerk erreicht Genauigkeiten in gleichem Grad wie tiefere CNNs mit umfangreicheren Modelgrosen. Desweiteren ist die Performanz von CNNs stark von der Quantitat und Qualitat der zugrundeliegenden Trainingsdaten, die fur die Optimierung genutzt werden, abhangig. Daher, befassen sich die weiteren Beitrage dieser Thesis mit dem Rendern von Bildern und Bild-zu-Bild Umwandlungen zur Erweiterung solcher Trainingsdaten. Das generelle Erweitern solcher Trainingsdaten wird Data Augmentation (DA) genannt. Fur das Rendern von Bildern zur nutzlichen Erweiterung von Trainingsdaten werden 3D Modelle genutzt. Generative Adversarial Networks (GANs) dienen zur Bild-zu-Bild Umwandlung. Wahrend das Rendern von Bildern die Quantitat in einem Bilddatensatz erhoht, verbessert die Bild-zu-Bild Umwandlung die Qualitat dieser gerenderten Daten. Experimente werden sowohl mit erweiterten Datensatzen aus gerenderten Bildern als auch mit umgewandelten Bildern durchgefuhrt. Beide Ansatze der DA tragen zur Verbesserung der Genauigkeit der Lokalisierung bei. Somit werden in dieser Arbeit Kamera-Relokalisierung mit modernsten Methoden durch DA verbessert.
Estabelecimento e multiplicação in vitro de Physalis peruviana L.

Visando o estabelecimento e a multiplicacao in vitro de Physalis, foram realizados dois experimentos. Para o estabelecimento, testou-se 5 procedimentos de desinfestacao das sementes (P1: Alcool 70% durante 30 segundos; P2: Hipoclorito de Sodio 2,5% durante 3 minutos; P3: Hipoclorito de Calcio 2,5% por 3 minutos; P4: Alcool 70% por 30 segundos + Hipoclorito de Sodio 2,5 % por 3 minutos; P5: Alcool 70% por 30 segundos + Hipoclorito de Calcio por 3 minutos). Metade das sementes foi mantida no escuro e a outra metade foi transferida para sala de crescimento com 16 horas de fotoperiodo, densidade de fluxo luminoso de 42 µmol. m-2 s-1 e temperatura de 25 + 2 oC. Ao final dos 28 dias, o procedimento 3 mostrou as maiores taxas de contaminacao in vitro . Sendo que as maiores porcentagens de germinacao foram obtidas nos procedimentos de desinfestacao 1, 2 e 4. Para a multiplicacao foram avaliados os meios de cultura MS e MS¾ (reduzido em 25% dos sais do meio inteiro), e as concentracoes de: 0,0; 0,1; 0,2 ou 0,3 mg L-1 de BAP. Foram utilizados frascos com 30 mL de meio de cultura com o pH ajustado para 5,8 e agar na concentracao de 6 g L-1. Ao final de 21 dias, observou-se maior numero de brotacoes na concentracao de 0,3 mg L-1 de BAP para os dois meios de cultura estudados.
Numerical analysis of the plasma-induced self-shadowing effect of impinging particles and phase transformation in a novel long laminar plasma jet

Currently, the self-shadowing effect of impinging particles is recognized as a vital factor to form columnar-like coating in the manufacture of thermal barrier coatings. Most of these quasi-columnar coatings are usually prepared under a very low-pressure condition. This paper investigates a novel quasi-columnar yttria stabilized zirconia (YSZ) coating using an atmospheric plasma spray-physical vapor deposition method. The microstructures of the coating present a quasi-columnar structure that is distributed along the cross-section of the coating within certain intervals with a large number of cluster-like structures on the top surface of the coating. A lower particle velocity that contributes to the generation of a mass of vapor YSZ materials is studied via experimental and numerical analyses and these results are compared with other current plasma spray methods. The mechanism of the self-shadowing effect from impinging particles that leads to the formation of a quasi-columnar feature at the boundary layer of the substrate is demonstrated by a three-dimensional numerical simulation and experimental observation. Furthermore, the hybrid growth model of the vapor and droplet co-deposited coating is clarified in this paper.
The role of an expansive workplace in the schoolwide adoption of a new assessment framework in English primary schools

ABSTRACT Recent changes to English national assessment policy have resulted in primary school leaders adopting new frameworks to evaluate pupil progress. This study examines the role of expansive workplace characteristics and staff meetings to support teachers to change their assessment practice at a schoolwide level, following engagement with a new framework. One hundred in-service teachers who had used the framework rated their schools against expansive workplace criteria in an online survey. They also rated staff meetings to support their use of the framework against effective meeting criteria. Statistical analysis of these data demonstrated expansive workplace characteristics were more frequently linked to participants’ subsequent reports of schoolwide changes to assessment practice than the characteristics of meetings held to support them. It is argued that expansive workplace characteristics might better enable the social learning processes entailed in schoolwide changes to an aspect of practice, such as discussion between colleagues, than the staff meetings intended to support a resource’s use.
Needs for applied climate education in agriculture

This paper reports on a purposive survey study which aimed to identify needs for the development, delivery and evaluation of applied climate education for targeted groups, to improve knowledge and skills to better manage under variable climatic conditions. The survey sample consisted of 80 producers and other industry stakeholders in Australia (including representatives from consulting, agricultural extension and agricultural education sectors), with a 58% response rate to the survey. The survey included an assessment of (i) knowledge levels of the Southern Oscillation Index and sea surface temperatures, and (ii) skill and ability in interpreting weather and climate parameters. Results showed that despite many of the respondents having more than 20 years experience in their industry, the only formal climate education or training undertaken by most was a 1-day workshop. Over 80% of the applied climate skills listed in the survey were regarded by respondents as essential or important, but only 42% of educators, 30% of consultants and 28% of producers rated themselves as competent in applying such skills. Essential skills were deemed as those that would enable respondents or their clients to be better prepared for the next extended wet or dry meteorological event, and improved capability in identifying and capitalising on key decision points from climate information and a seasonal climate outlook. The complex issue of forecast accuracy is a confounding obstacle for many in the application of climate information and forecasts in management. Addressing this problem by describing forecast 'limitations and skill' can help to overcome this problem. The survey also highlighted specific climatic tactical and strategic information collated from grazing, cropping and agribusiness enterprises, and showed the value of such information from a users perspective.
The Quenching Effect of BGO Crystals on Relativistic Heavy Ions in the DAMPE Experiment

The DArk Matter Particle Explorer (DAMPE) is a satellite-borne, calorimetric-type, high-energy-resolution detector for the precise measurement of high-energy electrons, gamma rays, and nuclei from deep space. The DAMPE electromagnetic calorimeter consists of bismuth germanate (BGO) crystals that can measure incident hadron energies from 50 GeV to 100 TeV. For an inorganic scintillator, such as BGO, the nonlinear fluorescence response when measuring ions contributes to the difference between the experimental data and Monte Carlo simulations. This article reports the BGO quenching nonlinearity occurring in the DAMPE experiment. The ionization energy response of BGO to several kinds of ions lighter than iron is investigated by conducting beam tests and analyzing flight data. We compare the scintillator output with the energy loss according to GEANT4 simulations and determine the quenching parameters. The combined result of beam test and flight experiment shows that the quenching effect strongly depends on the density of the ionization energy loss.