Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Payton ' s Four Step Approach on Skill Acquisition , Self-Confidence and Self-Satisfaction among Critical Care Nursing Students .

Background: A variety of instructional approaches were used in the skill laboratory such as “see one, do one” method. Although thismethod still extensivelyused, Rodney Peyton has suggested an alternative approach, the “Four-Step Approach". This approach guarantees that the teacher divides the procedure into convenient steps, asks the learner to articulate the steps, and provides repetition to strengthen the learning and correct errors. Purpose: To determine the effect of Peyton's four step approach on critical care nursing students‟ skill acquisition, self-confidence and satisfaction level. Method: Using a quasi-experimental research design, students were taught the CPR by either the „2-stage‟ or „Peyton's four step approach‟. Students' skill acquisition, self-confidence and satisfaction levels weremeasured immediately afterapplying the approach, while skill retention wasmeasured12 weekslater. Results:A convenient sample of 78 students was assigned into two equal groups "study and control" 39 students each. Highly statistically significant differences were found between the study and control groups regarding students' self-confidence and satisfaction in performing CPR procedure in the favor of Peyton's four step approach.No statistically significant difference was found between themin relation to theirskill acquisition and retention. Conclusion:Peyton's four-step approach is an effective clinical teaching approach that contributes in improving the critical care nursing students‟ selfconfidence and satisfaction in performing CPR procedure.
Deep Learning-based Cooperative Trail Following

Vision perception for unmanned ground vehicle trail following has received significant attention from the robotics community. Recently, a new approach which is based on deep learning used as a supervised image classifier has achieved great success and outperforms the traditional methods which aim to find the low-level features. However, the robots’ views are limited and may be corrupted by substantial obstacles. One approach to address this problem is to complement the viewing capabilities of an unmanned ground vehicle with overhead data gathered from an aerial source. But the traditional methods of UAV/UGV coordination based on the vision focused more on the process of valuable feature-extraction, which is complicated and timeconsuming. This paper presents techniques to achieve accurate UGV trail following by applying CNN models to the coordination of UAV and UGV. Qualitative and quantitative results computed on a large simulation and real-world datasets show that our approach has significantly improved the accuracy of the ground
Derivation of 3 D landscape metrics from airborne laser scanning data

One of the key-research topics in landscape ecology is the analysis and characterization of landscape pattern and structure. A description of these two features is commonly achieved through derivation of various metrics (e.g. Contagion, Dominance or Fractal Dimension) for the assessment of landscape connectivity, fragmentation and patch shape complexity. Up to now, only very few analyses in landscape ecology have been carried out on the basis of airborne laser scanning (ALS) data, while the majority is based on either aerial or satellite based imagery supported by conventional field survey. However, airborne and space borne images exhibit a critical drawback in comparison to laser measurements. Images can not display information from below the canopy surface, as the measurement method is not able to penetrate it. Consequently, the derivation of landscape metrics from such data is merely 2D. It can not account for the vertical structure of vegetation, a key element in forestry and the assessment of structural diversity and, as such, landscape ecology. The laser pulses, on the other hand, are able to penetrate through little gaps in the canopy surface and can provide information on the vertical and horizontal distribution of vegetation. The aim of this study is to make use of the 3D information and penetration capability of ALS for the derivation of novel landscape metrics. The presented approach exploits the collected information about the vegetation layer structure in order to describe not only if two landscape patches are connected, but how this connection is composed in terms of vertical structure of the plants building the patches. It therefore integrates knowledge of under storey or herbaceous vegetation into the shape metrics. Additionally, 3D shape metrics that relate the surface of a patch or corridor canopy surface to its enfolded volume are introduced. In this way, information about the three-dimensional interconnection of adjacent landscape patches is obtained. *Corresponding author. Email: wm@ipf.tuwien. ac.at
Chinese Text Sentiment Analysis using Bilinear Character-Word Convolutional Neural Networks

Text Sentiment Analysis (TSA) is becoming a hot area of research in the field of Natural Language Processing (NLP). There are many researches on English text sentiment analysis, while the Chinese do not attract sufficient attention. In this paper, we provide a novel deep learning model called Bilinear Character-Word Convolutional Neural Networks (BCWCNN) to deal with Chinese text sentiment analysis task. Our model represent a Chinese sentence as a bilinear combination of features learned from two-stream CNN models, which receives character-level and word-level embedding features as input, respectively. Experiments conducted on Chinese text sentiment corpus demonstrate that the proposed architecture significantly improve the performance of this task compared to other existing architectures.
Facilitating Effective User Navigation for Improving Website Structure through Minisessions Ms

Web-site structuring and its designing to provide effective navigation to end user is most challenging since ever. The reason behind it can be the difference of understanding between the web designer and the end user, as the need and design of web-site may vary from that imagined by the user. Also to relink web pages so as to improve the ability of navigation of user data various techniques have been proposed, the new reorganized structure can be unpredictable and the disorienting users cost remains unanalyzed after the changes are made. The paper addresses the problem to improve a website without introducing any substantial changes after reorientation. A mathematical programming model is proposed to minimize alteration to current. The use of real data sets is done to define two evaluation metrics and used it for assessing their performance. The use of mini sessions are used which keeps the track of accessed data or navigated data by the users and helps in locating any target page.
Control of Rhizopus rot disease of Apricot Fruits ( Prunus armeniaca L . ) by Some Plant Volatiles Aldehydes

Rhizopus rot caused by Rhizopus stolonifer is a potentially serious postharvest disease of Apricot (Prunus armeniaca L.), Plant volatiles aldehydes (PVAs) i.e. acetaldehyde, benzaldehyde and cinnamaldhyde as a vapors phase and/or solutions phase could be an alternative to use of postharvest chemical fungicides. In vitro testes, acetaldehyde vapor 25 and 50 μl/l (30 and 60 min.) time exposure, showed that a complete reduction of fungal mycelium growth , while at low concentration 25μl/l (15 min.) acetaldehyde vapor shows that ,23.7% reduction of fungal growth followed by benzaldehyde vapor by 5.5%. Meanwhile, cinnamaldehyde vapors were found to be significantly more effective than other (PVAs) to reducing the percentage of R . stolonifer spores germination at all tested concentrations and different times exposure. At 25 μl/l and 15min.cinnamaldehyde vapor tended to significant decrease in spore germination by 33.9% followed by benzaldehyde and acetaldehyde vapors by 22.4 and 17.4%. On the other hand, acetaldehyde solution at 100 and 200 ppm shown a complete reduction of both fungal growth and spore germination, while at low concentration 25 ppm , cinnamaldhyde solution gave a highly significant effect for reducing the fungal growth and spore germination by 59.2% and 66.7%, respectively. On the other hand all (PVAs)aldehydes vapors were decreasing the percentage of Rhizopus rot incidence ,acetaldehyde vapor was more effect for reduction the percentage of disease incidence by 30.0% followed by fruits exposed to benzaldehyde and cinnamaldhyde vapor by 24.5 and 19.8%. At low tested concentration 0.5%, cinnamaldhyde solution gave 24.4% reduction in disease incidence, followed by benzaldehyde treatment by 22.3% while, acetaldehyde solution gave less effect. Apricot fruits treated with benzaldehyde solution with all tested concentrations resulting best effect to reducing the percentage of fruit decay tissue with significantly values if compared with other (PVAs) aldehydes. Combination of the above complementary techniques could well lead to effective control of Rhizopus rot disease of apricot fruits during transportation, storage and marketing process.
Automatic Navigation through a Single 2 D Image using Vanishing Point

Image based navigation paradigms have recently emerged as an interesting alternative to conventional methods. This paper focuses on the problem of automatic navigation through Road scenes that mainly consist of single vanishing point. The algorithm infers frontier information directly from the image to navigate through Road images. The major cue to terminate the navigation is the vanishing point. The proposed algorithm has 3 major steps: First, the preprocessing techniques are applied to the given image to find the vanishing point. Second, compute the distance from the ground truth position to the vanishing point which is used as the termination point for navigation. Finally, create the navigation by cropping the image. Our approach is fully automatic, since it needs no human intervention. The approach finds applications, mainly in assisting autonomous cars, virtual walk through ancient time images and in forensics. Qualitative and quantitative experiments on nearly 150 Real-road images in different scenarios show that the proposed algorithm is more efficient and accurate.
A Review on Tio 2 Nanotube Based Free Standing Membrane : Synthesis Mechanism and Structur Modification

The TiO2 semiconductor material with nanotube morphology has a wide application due to its high effectiveness in responding to light on the surface as well as having a wide band gap energy. Related studies of TiO2 nanotubes were developed based on previous studies that have examined and tested the effectiveness of photoelectrocatalytic TiO2 nanotube films grown on titanium foil substrate for corrosion prevention applications (Misriyani et al., 2015). However, the presence of titanium substrate on TiO2 nanotubes precludes light absorption because it is opaque. This affects the activity of TiO2 in responding to light. The development of TiO2 nanotube films through the manufacture of film based free standing membrane becomes very important to do. Transparent film coatings in addition to improving light absorption on the surface of TiO2 also make it easy to integrate with other substrates. This paper reports the review of all the preparation technologies as well as the optimum conditions of synthesis of TiO2 nanotube based free standing membrane.
Feng Model Predictive Direct Power Control for Single Phase Three-Level Rectifier at Low Switching Frequency C

 Abstract—This paper presents a new model predictive direct power control (MP-DPC) to overcome the drawbacks of model predictive control (MPC) for single phase three-level rectifiers in the railway traction drive system, including huge online calculation, poor power control precision at the low switching frequency and variable switching frequency. To do so, an exact analytical solution of instantaneous power estimation is adopted to predict active and reactive powers in next duty cycle updating interval for achieving the deadbeat control and reducing the predictive error at the low switching frequency (below 1kHz). The optimal d-axis and q-axis components of input voltage within next duty cycle updating interval of the adopted rectifier in rotating coordinate system are directly calculated by minimizing the cost function. And the optimal drive pulses are generated by pulse width modulation stage in the proposed MP-DPC, other than evaluating cost function for each voltage vector in traditional MP-DPC. Finally, the influence of inductance mismatch on control system is analyzed, and an inductance estimation method is shown to improve the control precision. An experimental comparison with other five different DPC schemes has verified the effectiveness of the proposed MP-DPC scheme.
The silicon matrix as a charge detector in the ATIC experiment

The Advanced Thin Ionization Calorimeter (ATIC) was built for series of long-duration balloon flights in Antarctica. Its main goal is to measure energy spectra of cosmic ray nuclei from protons up to iron nuclei over a wide energy range from 30 GeV up to 100 TeV: The ATIC balloon experiment had its first, test flight that lasted for 16 days from 28 December 2000 to 13 January 2001 around the continent. The ATIC spectrometer consists of a fully active BGO calorimeter, scintillator hodoscopes and a silicon matrix. The silicon matrix, consisting of 4480 pixels, was used as a charge detector in the experiment. About 25 million cosmic ray events were detected during the flight. In the paper, the charge spectrum obtained with the silicon matrix is analyzed. r 2004 Elsevier B.V. All rights reserved. PACS: 96.40. De; 95.55. Vj; 29.40. Wk
THE SOCIAL RESILIENCE IN NEOLIBERAL ERA AS OBJECT OF THE SOCIOLOGICAL RESEARCH Nicolaie

This paper is a brief critical evaluation of the concept of social resilience, specific to the neoliberal era, as a way of natural manifestation and as an applied practical modality. Between the concrete conditions of social development and the methodological specific of sociological research, it is born a connecting bridge, on which the author launches it as a challenge. Through a modest contribution to the development of social resilience concept, it is aimed, however, to stimulate the academic and research environment from Romania in the deepening and continuation of studies in the field, which in the West they are quite advanced. The social resilience, specific to the transition period, offers to the researchers numerous particular aspects, what they are wanted exploited. The validation of the results of the scientific research offers the practical possibility of implementing governmental programs to alleviate some negative state of things and to develop new opportunities specific to the applied resilience. All these results can be constituted in a useful database to monitoring process of social vulnerabilities and of the risk situations, in the purpose of preventing trauma and development of some elements of positive resilience.
The effect of swirling vortex combustion on NO X emissions

Vortex combustion is a one of the methods used to reduce pollutant emissions from a combustion process. In this work, the operation and emission of a laboratory scale furnace under vortex combustion regime using propane as fuel was examined. The air flow enters tangentially and coaxial while the fuel coaxially into the combustor. The air was injected to the chamber in a tangential and coaxial direction flow to create swirling vortex flame. Swirling Vortex provides hot gas recirculation zone at entrance to the combustor for better mixing of fuel and air. In the experimental setup, the combustor was equipped with a vortex burner systems with controlled gas fuel and oxidizer. The combustor consists of several ports that are used to measure temperature variation and analyze gas emissions. The results revealed that the laboratory scale furnace could successfully operate in swirling vortex combustion regime using propane as fuel. In terms of emission, it was found that swirling vortex combustion was more effective than the vortex combustion in reducing the rate of NOX emission and the temperature uniformed inside combustor. Key-Words: vortex combustion; swirling; NOX emission; uniformed temperature
Bioethanol Production from Sweet Potato ( Ipomoea batatas L . ) by Enzymatic Liquefaction and Simultaneous Saccharification and Fermentation ( SSF ) Process

The starch content in sweet potato (Ipomoea batatas var. Sankar) flour and fresh tubers was liquefied by treatment with 0.08% (v/w) commercial thermostable -amylase (Termamyl, Novozyme, Denmark) and 0.33% (v/w) amyloglucosidase (AMG, Novozyme, Denmark). The hydrolysate was subsequently fermented with a thermotolerant strain of Saccharomyces cerevisiae into ethanol. The result showed that the final ethanol yield of 240 and 235 g.kg (flour) and 96 and 93 g.kg (tuber), was little influenced by liquefaction conditions i.e. 80°C for 2 h and 90°C for 1 h, respectively in conjunction with treatment of 0.33% (v/w) AMG (45°C for 24 h). Similarly, the treatment of AMG for 45°C for 48h and 45°C for 24 h had little effect on the ultimate ethanol yield, i.e. 242 and 238 g.kg (flour) and 94 and 93 g.kg (tuber), respectively after liquefaction (90°C for 1 h) treatment. Another experiment was designed to study simultaneous saccharification and fermentation by saccharifying the liquefied (90°C for 1 h) hydrolysate and co-fermenting with S. cerevisiae at 40°C for 96 h. The ethanol yield was 258 g.kg for flour and 95 g.kg for tuber, respectively. _____________________________________________________________________________________________________________
SIMULATION OF SOIL WATER MOVEMENT UNDER BIOCHAR APPLICATION BASED ON THE HYDRUS-1 D IN THE BLACK SOIL REGION OF CHINA

(Received 9 Dec 2018; accepted 4 Mar 2019) Abstract. The soil water movement under different biochar treatments of the black soil region in Northeast China was simulated by the Hydrus-1d software in this paper. The simulation errors were between -5.12% and 9.15%, within the ±10% range. with the increasing amount of biochar applied, the residual soil moisture content and the shape parameter were decreasing, while the saturated soil moisture content and the reciprocal of air inlet value were increasing. The difference between the saturated and residual water content was getting bigger with the increasing amount of biochar applied, which improved the available soil moisture content, a beneficial factor of crop growth. With increasing the amount of biochar applied, the moisture rate in the soil profile clearly increased, soil water redistribution curve right shifted significantly, which indicated that biochar can greatly improve the water retention ability of the soil. Furthermore, the soil moisture content increased when the soil depth was more than 50 cm. The effects of biochar on soil moisture diminished rapidly.
Sub-Lethal Effect of Monocrotophos Pesticide on Risk Appraisal and Environmental Chemical Regulation of Muscle and Liver Fatty Acid of Channa Striatus

The aim of this study was to investigate the sub-lethal toxicity of a monocrotophos organophosphate insecticide effect of muscle and liver tissues fatty acid profile of Channa striatus. To evaluate the toxic effects of monocrotophos organophosphate insecticide from agricultural application, monocrotophos organophosphate insecticide contained sub-lethal concentration of 96 hours of monocrotophos organophosphate insecticide exposure was 0.98 ppm and 1 ppm, duration of 15 day and 30 days for mural, C. striatus. The sub-lethal concentration used for monocrotophos organophosphate insecticide was disturbed biochemical parameters and produced liver and muscle tissue fatty acids damages. In muscles and liver tissue estimation monocrotophos insecticide effects significantly (P>0.05) decreased in crude protein and carbohydrate. Free fatty acid profile of C. striatus of saturated (SFAs), mono unsaturated (MUFAs) and poly unsaturated fatty acids (PUFAs) were increased in muscle tissue 0.98 ppm 30 days and liver tissue 1 ppm 15 day while compared to control. Estimation of muscle and liver tissue saturated fatty acids (SFAs) as capric acid methyl ester, caprylic acid methyl ester, undecanoic acid methyl ester and tricosanoic acid methyl ester were decreased level of monocrotophos 50% insecticide treated groups when compared to control. Simultaneously, palmitic acid methyl ester was increased in muscle and liver tissue of 1ppm 15 days and 1ppm 30days, while compared to control, respectively. In conclusion, modify observed among the chemical composition, fatty acid profile and free fatty acid investigation of muscle and liver in toxic effect of monocrotophos 50% insecticide of gas chromatograph evaluation.
Corruption and Multinational Investment: Micro-foundations and Empirical evidence

How multinational corporations’ (MNCs) investment decisions are affected by countries’ corruption levels? In this paper, we develop a model to study the interaction between multinational corporations (MNCs) and the level of corruption in their home and host countries. The model predicts that host country corruption tend to reduce the likelihood and size of multinational investments. Moreover, our model also shows that, ceteris paribus, MNCs have incentives to invest in countries with similar levels of corruption as their home country. MNCs develop skills for dealing with corruption, and these skills become a valuable competitive advantage as they can be used in other nations with similar corruption levels. We empirically test the model’s predictions using data on foreign direct investment from 49 home countries to 167 host countries for the period 2005-2009.
THE HILBERT SCHEME OF POINTS FOR SUPERSINGULAR ABELIAN SURFACES

We study the geometry of Hilbert schemes of points on abelian surfaces and Beauville’s generalized Kummer varieties in positive characteristics. The main result is that, in characteristic two, the addition map from the Hilbert scheme of two points to the abelian surface is a quasifibration, such that all fibers are nonsmooth. In particular, the corresponding generalized Kummer surface is nonsmooth, and minimally elliptic singularities occur in the supersingular case. We unravel the structure of the singularities in dependence of p-rank and a-number of the abelian surface. To do so, we establish a McKay Correspondence for Artin’s wild involutions on surfaces. Along the line, we find examples of canonical singularities that are not rational singular-
Analysis of Methods for Automated Symbol Recognition in Technical Drawings

Even in today’s modern world, in which almost everything is digitized, many technical drawings are still only available in paper form. The main reason for this is that most of the infrastructure we see was built before the widespread availability of computers. Many of these drawings are now being digitized so as to be used by modern computer programs. Much of the digitization process of a technical drawing consists of recognizing and locating different symbols which is often a difficult and time-consuming task. Therefore, this work aims to find a method of automating the process and drastically reducing the processing time. This work begins with some basic computer vision techniques that can be very accurate, but only under certain conditions. Next, a more complex and versatile method of machine learning is proposed (Cascade Classifiers), which can be used in a multitude of situations. However, the Cascade Classifiers method still faces difficulties if a simple symbol with too few features needs to be recognized. Therefore, another technique is proposed that uses artificial neural networks to find symbols in large technical drawings. This method includes training that requires a powerful graphics processing unit (GPU), but shows very promising results. Ultimately, a graphical user interface (GUI) is created for the program which enables simple operations without in-depth programming knowledge.