Miracle-dz/UniFAR-FTUs huggingface dataset:
Data Analytics in Steady-State Visual Evoked Potential-Based Brain–Computer Interface: A Review

Electroencephalograph (EEG) has been widely applied for brain-computer interface (BCI) which enables paralyzed people to directly communicate with and control external devices, due to its portability, high temporal resolution, ease of use and low cost. Of various EEG paradigms, steady-state visual evoked potential (SSVEP)-based BCI system which uses multiple visual stimuli (such as LEDs or boxes on a computer screen) flickering at different frequencies has been widely explored in the past decades due to its fast communication rate and high signal-to-noise ratio. In this article, we review the current research in SSVEP-based BCI, focusing on the data analytics that enables continuous, accurate detection of SSVEPs and thus high information transfer rate. The main technical challenges, including signal pre-processing, spectrum analysis, signal decomposition, spatial filtering in particular canonical correlation analysis and its variations, and classification techniques are described in this article. Research challenges and opportunities in spontaneous brain activities, mental fatigue, transfer learning as well as hybrid BCI are also discussed.
THE DEVELOPMENT OF ENTREPRENEURS AT UNIVERSITY IN AN EMERGING ECONOMY: A CONCEPTUAL FRAMEWORK

: A conceptual framework is developed to postulate the process of developing entrepreneurs at a university level as a panacea for mitigating high levels of graduate unemployment in South Africa. The challenges are compounded by slow economic growth and the resultant high unemployment levels. Despite the growing body of empirical research evidence on the development of entrepreneurs in general, there is limited research on the development of student entrepreneurship. Drawing on Azjen’s (1991) theory of planned behaviour, the paper conceptualises on factors that potentially influence the intention of students within the university to become entrepreneurs. Following Azen (1991), the paper interrogates the influence of the following four factors, namely, attitude towards entrepreneurship, role models, entrepreneurial leaders, and resources and opportunities. The conceptual framework proposes a model that will assist in developing student entrepreneurship mindsets and aptitudes that will equip them to embark on rather starting their own ventures upon graduation, than seeking employment. The entrepreneurship development process will create opportunities for self-employment, as well as employment creation within the South African economy.
The influence of biostimulants on the content of phenolic compounds in broccoli heads during short-term storage at room temperature

Background. The world literature provides information about the effect of biostimulants on the biological value of broccoli immediately after harvesting, but there is little information how the quality of broccoli heads changes during storage in plants treated with biostimulants during cultivation. Therefore, the aim of this study was to evaluate the influence of an amino acid biostimulant and Ascophyllum nodosum filtrate on the content of phenolic compounds in broccoli heads – in fresh vegetables and in the ones stored for three days at room temperature. Material and methods. The study was carried out on one broccoli cultivar: ‘Tiburon’. There were plants treated with the amino acid biostimulant, plants treated with Ascophyllum nodosum filtrate + amino acids, as well as control plants which were not treated with biostimulants. After harvesting the heads were stored at room temperature (24°C, 65% RH) for 1, 2 and 3 days. The contents of total phenols, caffeic, ferulic and sinapic acids, as well as the contents of quercetin and kaempferol were measured in fresh broccoli heads and after each day of storage. Results. The biostimulants enhanced the total phenolic content and the amount of caffeic and ferulic acids in fresh broccoli heads only in the first year of the experiment. However, the content of kaempferol increased in both years of the experiment. The biostimulants considerably affected the total phenolic content, the amount of quercetin as well as the amounts of ferulic and sinapic acids after the second or third day of storage, but only in the first or second year of the experiment. Conclusions. The biostimulants increased the content of phenolic compounds, but this effect was different in both years of the experiment. The total phenolic content and phenolic acids content increased with the length of storage. Kałużewicz, A. , Gąsecka, M. , Spiżewski, T. (2018). The influence of biostimulants on the content of phenolic compounds in broccoli heads during short-term storage at room temperature. Nauka Przyr. Technol. , 12, 2, 131– 141. http://dx.doi. org/10.17306/J.NPT. 00225 132
Online Junction Temperature Measurement for SiC MOSFET Based on Dynamic Threshold Voltage Extraction

The online junction temperature monitoring of power devices is a viable technique to ensure the reliable operation of mission-critical power electronic converters. This article provides a potential approach for the junction temperature estimation of SiC MOSFETs based on the dynamic threshold voltage. The proposed method is independent of load current variation, which eliminates the complicated calibration procedure with load current. First, the physical mechanism and the temperature dependence of the dynamic threshold voltage are analyzed. An analytical model for the dynamic threshold voltage is built to investigate the effects of gate loop parameters on the temperature sensitivity and measurement accuracy. Then, the principle of the dynamic threshold voltage measurement circuit is introduced. Finally, the proposed dynamic threshold voltage measurement circuit is experimentally evaluated through the double-pulse tests. The experimental results show that the dynamic threshold voltage of SiC MOSFET has a good linear relationship with junction temperature. The temperature sensitivity of the dynamic threshold voltage of two SiC MOSFETs is approximately 5.2 mV/°C and 19.6 mV/°C, respectively.
Gastronomia do Pará: avaliação nutricional de ingredientes e pratos típicos com desenvolvimento de cardápio

This study aimed to evaluate the nutritional composition of the main ingredients and typical foods from State of Pará. The ingredients (shrimp regional, maniva, tucupi and jambú) and the typical foods (caruru, maniçoba, tacacá and vatapá) were obtained in local Market and local restaurant, respectively, of the city of Belém-PA. The samples were characterized by pH, total acidy, ash content, moisture, concentration of protein, lipids carbohydrate and fiber and total energy value. The ingredients showed high moisture yields ranging from 60.8 to 86.68g/100g. In the ingredients, ash content ranged from 0.45 to 3.08g/100g, and in the typical foods the values varied from 0.85 to 2.50g/100g. The regional shrimp showed the highest protein yield, 22.98g/100g, followed by maniva with 5.44g/100g. For the typical foods, the ash values varied from 0.85g/100g (caruru) to 2.50g/10g (tacacá). The tacacá and maniçoba presented the lowest and the highest protein and lipid yields with values of 1.66g/100g and 11.36g/100g, respectivily, for proteins, and 0.39g/100g and 21.41g/100g, respectivily, for lipids. Four menus suggestions were proposed for lunch and showed that ingredients and regional preparations can be part of a balanced and healthy diet.
Impact of nuclear data evaluations on data assimilation for an LFR

The Lead-cooled Fast Reactor is one of the three technologies selected by the Sustainable Nuclear Energy Technology Platform that can meet future European energy needs. The main drawbacks for the industrial deployment of LFR are the lack of operational experience and the impact of uncertainties. In nuclear reactor design the uncertainties mainly come from material properties, fabrication tolerances, operation conditions, simulation tools and nuclear data. The uncertainty in nuclear data is one of the most important sources of uncertainty in reactor physics simulations. Furthermore, it is known that the uncertainties in reactor criti-cality safety parameters are severely dependent on the nuclear data library used to estimate them. However, the impact of using different evaluations while performing data assimilation to constraint the uncertainties in the criticality parameters has not been properly assessed yet. In this work, a data assimilation for the main isotopes contributing to the uncertainty in keff of the ALFRED lead-cooled fast reactor has been performed with the SUMMON system using JEFF-3.3, ENDF/B-VIII.0 and JENDL-4.0u2 state-of-the-art nuclear data libraries, together with critical mass experiments from the International Criticality Safety Benchmark Evaluation Project that are representative of ALFRED, in order to assess the impact of using different evaluations for data assimilation.
A Stacked LSTM-Based Approach for Reducing Semantic Pose Estimation Error

Achieving high estimation accuracy is significant for semantic simultaneous localization and mapping (SLAM) tasks. Yet, the estimation process is vulnerable to several sources of error, including limitations of the instruments used to perceive the environment, shortcomings of the employed algorithm, environmental conditions, or other unpredictable noise. In this article, a novel stacked long short-term memory (LSTM)-based error reduction approach is developed to enhance the accuracy of semantic SLAM in presence of such error sources. Training and testing data sets were constructed through simulated and real-time experiments. The effectiveness of the proposed approach was demonstrated by its ability to capture and reduce semantic SLAM estimation errors in training and testing data sets. Quantitative performance measurement was carried out using the absolute trajectory error (ATE) metric. The proposed approach was compared with vanilla and bidirectional LSTM networks, shallow and deep neural networks, and support vector machines. The proposed approach outperforms all other structures and was able to significantly improve the accuracy of semantic SLAM. To further verify the applicability of the proposed approach, it was tested on real-time sequences from the TUM RGB-D data set, where it was able to improve the estimated trajectories.
Expansion of invasive Ceratium furcoides (Dinophyta) toward north-central Brazil: new records in tropical environments

Abstract: Aim We record new occurrences of the invasive species Ceratium furcoides in reservoirs and their affluents in the Paraná River basin, State of Goiás (GO), central-western Brazil, and in some localities in the São Francisco River basin, northeastern region. Methods Qualitative and quantitative phytoplankton samples were collected from Corumbá Reservoir and Cascatinha Falls, Caldas Novas, GO, and João Leite Reservoir, Goiânia, GO, both in the Paraná River basin, and samples from the São Franscisco River basin. Specimens of C. furcoides were observed with optical, epifluorescence and scanning electron microscopy. Results The individuals of C. furcoides from these environments agreed morphologically with populations in other reservoirs in Brazil and other locations, especially concerning the tabulation and the shape of the fourth apical plate. These environments ranged from oligotrophic to eutrophic conditions. Physical and chemical variables of these waterbodies, compared to other environments where this species was found, demonstrate that C. furcoides is a highly eurytopic species. The dispersal pattern of C. furcoides seems to be more complex than upstream-downstream regulation, since the species occurs in high-altitude environments and systems upstream from previously recorded locations. Conclusion An analysis based on the areas of occurrence and the chronology of the records demonstrated that C. furcoides has spread toward northern Brazil. Studies of the relationships among populations recorded in other parts of Brazil and South America are required in order to develop accurate models of dispersal for this invasive species, and will facilitate the development of management policies for aquatic systems in Brazil.
Plant growth promoting bacteria increases biomass, effective constituent, and modifies rhizosphere bacterial communities of Panax ginseng

ABSTRACT Purpose: The main aim of this study was to introduce and explore plant growth-promoting bacteria (PGPB) indigenous to ginseng, and to evaluate their ability to improve production and quality, and effect on rhizosphere niche in ginseng. Materials and methods: Endophytic bacteria were isolated from root, stem, and leaf of ginseng from different sites and genotype in China and Korea, screened based on their beneficial properties as PGPB. Nine bacterial isolates were selected according to their plant growth properties including soluble phosphate and potassium, ammonia, auxin and siderophore producing, ACC deaminase, and antagonistic pathogen as well. Changes in ginseng after PGPB inoculation were evaluated with respect to the non-inoculated control. Results and Conclusions: The PGPB isolates were identified as genera Bacillus, Lysinibacillus, Rhizobium, Stenotrophomonas, Erwinia, Ochrobactrum, Enterobacter and Pantoea based on 16S rRNA sequences. Inoculation of G209 and G119 increased not only plant height, root length, fresh weight, and dry weight, but also root activity and the amount of ginsenosides significantly. In particular, using the Illumina Miseq platform, the native bacterial community of rhizospheric soil maintained high community diversity and increased abundance of specific bacteria. Therefore, they may be play a crucial role in sustainable ginseng cultivating in farmland.
Optimized cutting of yellow passion fruit and its potential for unstaked or trellised cultivation

The objective of this work was to evaluate types of cuttings, indole-3-butyric acid (IBA) concentrations, and potting media on the rooting of passion fruit (Passiflora edulis) cultivars, and to compare the initial performance of flowering-competent cuttings cultivated in a trellising system or in a nonstaking method on ground covered with plastic mulch. The passion fruit cultivars evaluated were BRS Gigante Amarelo, Isla Redondo Amarelo, and FB 200 Yellow Master were evaluated. The assessed treatments were: softwood or semi-hardwood cuttings; five concentrations of IBA (0, 500, 1,000, 2,000, and 4,000 mg L-1); and the pine bark or phenolic foam potting media. Initial growth, fruit yield, and bacteriosis severity were evaluated in the field in flowering-competent cuttings and seedlings, both in the trellising system and in the nonstaking method on mulched ground. For the evaluated cultivars, a high rooting rate (>90%) was observed for both softwood and semihardwood cuttings grown in phenolic foam or decomposed pine bark for potting media, regardless of the IBA concentration. In the espalier system, 14 months after transplanting, fruit yield was 45% higher for cuttings than for seedlings. Unstaked plants had a low number of flowers and fruit set, and a great damage by bacteriosis according to the used cultivar. The evaluated cultivars can be propagated either by softwood or semi-hardwood cuttings, in phenolic foam or decomposed pine bark, without IBA application. Flowering-competent cuttings have the potential to anticipate the production in the trellised cultivation of yellow passion fruit.
Choice Experiments for Estimating the Non-Market Value of Ecosystem Services in the Bang Kachao Green Area, Thailand

Bang Kachao, the largest green area in the Bangkok metropolitan area, delivers significant ecosystem services to sustain society free of charge. It is therefore difficult to achieve socially optimal services because of inefficient allocation of resources, over-consumption, and negative externalities resulting from market failures. This study’s purpose is to assess consumers’ willingness to pay (WTP) for enhancing ecosystem services from the Bang Kachao Green Area and to investigate factors influencing the WTP of Bangkok residents. A choice experiment was applied by interviewing 200 respondents living in the Bangkok metropolitan area. The data were collected between July and September 2016 and analyzed using a conditional logit model. The results reveal that the respondents are willing to pay 42 USD per year to improve the ecosystem services in Bang Kachao. The respondents demand clean air the most, followed by food, recreation, and bird diversity. The government of Bangkok may take proactive steps to promote agroforestry and ecotourism in Bang Kachao. A Payment for Ecosystem Services (PES) scheme may ensure the provision of ecosystem services in Bang Kachao.
Robustness Analysis of a Steganography File Against a Media Sharing Process In Instant Messaging Applications

The main challenge in digital communication is not only the need to share information but also to protect that information from attacks from irresponsible people, such as hackers. One method that effectively protects data is steganography. The application of steganography includes media such as images, audio, and video. The survey ‘We are Social’ in 2016 described the most widely used instant messaging applications in Indonesia as BlackBerry Messenger (BBM), WhatsApp, and Messenger. All these applications can be used for sharing media in the form of images, audio, and video, which means steganographic messages can be sent through these applications. However, in order to share media there is an inherent process of editing or compression of the files. This is one of the weaknesses of steganography. In this research, the authors will attempt a simulation by sending steganographic files of images, audio, and video through three instant messaging (BBM, WhatsApp, Messenger) applications. The results obtained indicate that the majority of steganographic files are lost after going through the sharing process, which means instant messaging applications are not suitable for use as media to send steganographic files.
Plant regeneration through callus induction from nodal segments of Polygonum hydropiper L., an important medicinal plant

The investigation was carried out to observed callus induction and subsequent regeneration potentiality of hydropepper (Polygonum hydropiper) from nodal segments of mature plants. Greenish friable callus was achieved from nodal segment on MS medium supplemented with 5.0mgl-12,4-D within two weeks of inoculation. The callus produced large number of shoots when cultured on MS medium with 5.0 mgl-12,4- D +0.2 mgl-1Kn within 10 days of culture. In vitro raised shoots were rooted on MS medium with 1.0 mgl-1IBA within 15 days of culture. In vitro grown plantlets with well root system were successfully established in natural condition through successive phages of acclimatization. The survival rate of plantlets was found to be 100% in the natural condition.
Capturing multiple-type interactions into practical predictors of type replacement following HPV vaccination

Current HPV vaccines target a subset of the oncogenic human papillomavirus (HPV) types. If HPV types compete during infection, vaccination may trigger replacement by the non-targeted types. Existing approaches to assess the risk of type replacement have focussed on detecting competitive interactions between pairs of vaccine and non-vaccine types. However, methods to translate any inferred pairwise interactions into predictors of replacement have been lacking. In this paper, we develop practical predictors of type replacement in a multi-type setting, readily estimable from pre-vaccination longitudinal or cross-sectional prevalence data. The predictors we propose for replacement by individual non-targeted types take the form of weighted cross hazard ratios of acquisition versus clearance, or aggregate odds ratios of coinfection with the vaccine types. We elucidate how the hazard-based predictors incorporate potentially heterogeneous direct and indirect type interactions by appropriately weighting type-specific hazards and show when they are equivalent to the odds-based predictors. Additionally, pooling type-specific predictors proves to be useful for predicting increase in the overall non-vaccine-tvpe prevalence. Using simulations, we demonstrate good performance of the predictors under different interaction structures. We discuss potential applications and limitations of the proposed methodology in predicting type replacement, as compared to existing approaches.
Soybean molasses: an alternative to sheep's supplementation

The objective was to evaluate soybean molasses as supplement for sheep at crescent levels. Five-crossbred ½ Dorper - Santa Ines ewes with initial body mass of 45 ± 3.5 kg and 12 ± 2 months of age were used. Treatments consisted of 0, 3, 6, 9 and 12% of soybean molasses inclusion to a basal corn silage diet, which fed exclusively supports the nutritional requirements of ewes at maintenance. The treatments were assigned into 5×5 latin square design. Five experimental periods, of 12 days each (1st to 5th day: diet adaptation period; 6th to 12th: data collection and sampling), was adopted. The statistical analysis performed were regression analysis with 5% of significance. Crude protein and water intakes increase as increase the supplementation levels of soybean molasses, allowing the fit of linear regressions (P 0.05). Also ingestive behavior and blood variables, as metabolicand mineral profile, was not affected (P>0.05). Soybean molasses can be used as supplement for sheep until 12 % of daily ration without affect feed digestibility, ingestive behaviour and metabolic profile.
Multi-Feature Fusion Approach for Epileptic Seizure Detection From EEG Signals

In this article, a new fusion scheme based on the Dempster–Shafer Evidence Theory (DSET) is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various features in temporal, spectral, and temporal-spectral domains are extracted from Electroencephalogram (EEG) signals. Afterward, a Correlation analysis via the Pearson Correlation Coefficient (PCC) is conducted on the extracted features to select and remove highly correlated features. It leads to the second feature set with about half numbers of the first feature set. Next, three separate filter-type feature selection techniques, including Relief-F (RF), Compensation Distance Evaluation Technique (CDET), and Fisher Score (FS), are conducted to this second feature set for ranking features. Following that, a feature fusion is engaged by the DSET through the individual feature ranking results to generate high qualified feature sets. Indeed, the DSET-based feature fusion is devoted to enhancing the feature selection confidence using the least superb ranked features. In the classification stage, an Ensemble Decision Tree (EDT) classifier, along with two common validation procedures, including hold out and 10-fold cross-validation, is appropriated to classify the selected features from the EEG signals as normal, pre-ictal (epileptic background), and ictal (epileptic seizure) classes. Finally, several test scenarios are investigated using experimental data of Bonn University to evaluate the proposed ESD performance. Moreover, a comparison with other research works on the same dataset and classes is accomplished. The obtained results indicate the effectiveness of the proposed feature fusion approach and superior accuracy compared to the traditional methods.
Cost-Effectiveness Analysis of Leuprorelin Acetate Atrigel in the Treatment of Prostate Cancer

METHODS The primary health-related outcome was life-years gained, and effectiveness was measured through the difference between treatment options. Analyses were performed separately for testosterone suppression targets of <20 ng/dL and <50 ng/dL for disease risk groups (intermediate and high risk) and for disease periods (relapse-free, postrelapse, and postdistant metastasis). Only direct treatment costs were used for cost analyses. Resource utilization was estimated according to the National Comprehensive Cancer Network guidelines and expert opinion.