Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of the Verb Run in English Learner-Narratives

The present paper investigates the use of the verb run in texts compiled in English by three groups of multilingual learners in the North of Italy. The participants spoke three different L1s: Ladin, Italian, and German. The main objective was to ascertain whether L1 imprints could be identified in the different groups, and whether the Ladin subjects behaved more similarly to their Italian or German counterparts. Despite considerable homogeneity found across all groups, the findings surprisingly suggested a stronger closeness between the texts of Ladin and German speakers, and not – as the typological relationship between Ladin and Italian would suggest – between Ladin and Italian speakers. The present data implicate that multilingual speakers bring to bear composite cognitive and typological systems when they construct texts in English as a third or further language, and text features are usually not easily attributable to a typologically clearly defined L1.
Institutional Ambiguity and Ontological Politics in Integrating Sustainability into Finnish Dietary Guidelines

Dietary guidelines are a key policy instrument in guiding the way people eat in many countries. Traditionally, the guidelines focus on the public health aspects of diets. During the last decade, sustainability has increasingly been incorporated into dietary guidelines, emphasizing that sustainable diet benefits both health and the environment. This article analyses the integration of sustainability into dietary guidelines in Finland. The analysis is situated within the ontological turn in social theory, understanding food as ontologically multiple. We employ Annemarie Mol’s concept of ontonorms in analyzing the Finnish dietary guidelines. Currently, in Finland, there seems to be a situation of institutional ambiguity regarding where and by whom sustainable food policy is being made and what does it constitute. We claim that the ontological multiplicity of food is partly constituted by, and at the same time constitutive of, the institutional ambiguity, and as a result, the guidelines do not yet provide clear guidance for sustainable food practices. As the guidelines fail to coordinate the multiplicity, they increase the normative burden on consumers to make responsible choices. In the latest Finnish guidelines targeted for children, however, steps are taken towards a more inclusive, caring understanding of sustainable dietary guidance.
Corruption, Democracy, and Privately Financed Infrastructure

Do political institutions moderate the influence of corruption on privately financed infrastructure projects? We argue that electoral competition incentivizes politicians to monitor bureaucratic corruption and focus on the public benefits of projects. Without such incentives, corruption is not monitored and the private benefits of bribes and favorable contract terms are responsible for increasing numbers of projects. Studying 116 countries between 1984 and 2012, we find that as public-sector corruption increases in democracies, no change in the number of projects is observed, while more projects emerge in non-democracies as corruption worsens.
Long-Term Exposure to PFE-360 in the AAV-α-Synuclein Rat Model: Findings and Implications

Abstract Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with impaired motor function and several non-motor symptoms, with no available disease modifying treatment. Intracellular accumulation of pathological α-synuclein inclusions is a hallmark of idiopathic PD, whereas, dominant mutations in leucine-rich repeat kinase 2 (LRRK2) are associated with familial PD that is clinically indistinguishable from idiopathic PD. Recent evidence supports the hypothesis that an increase in LRRK2 kinase activity is associated with the development of not only familial LRRK2 PD, but also idiopathic PD. Previous reports have shown preclinical effects of LRRK2 modulation on α-synuclein-induced neuropathology. Increased subthalamic nucleus (STN) burst firing in preclinical neurotoxin models and PD patients is hypothesized to be causally involved in the development of the motor deficit in PD. To study a potential pathophysiological relationship between α-synuclein pathology and LRRK2 kinase activity in PD, we investigated the effect of chronic LRRK2 inhibition in an AAV-α-synuclein overexpression rat model. In this study, we report that chronic LRRK2 inhibition using PFE-360 only induced a marginal effect on motor function. In addition, the aberrant STN burst firing and associated neurodegenerative processes induced by α-synuclein overexpression model remained unaffected by chronic LRRK2 inhibition. Our findings do not strongly support LRRK2 inhibition for the treatment of PD. Therefore, the reported beneficial effects of LRRK2 inhibition in similar α-synuclein overexpression rodent models must be considered with prudence and additional studies are warranted in alternative α-synuclein-based models.
Research Topics on Educational Data Mining in MOOCS

Educational Data Mining Techniques have been widely used in MOOC environments to conduct different educational analyzes. In this context, a systematic mapping was conducted in five databases in order to verify which aspects of studies are inherent to the use of Educational Data Mining in MOOCs. The search comprised the period from 2015 to 2019, and 253 searches were found, out of this total, 133 studies were selected. The results revealed that studies on performance analysis, behavior analysis, forum analysis and implementation of recommendation systems are the most frequent themes.
Examining motivation theory in higher education among tenured and non-tenured faculty: Scholarly activity and academic rank

The pursuit of tenure in higher education is arguably the dominant focus of tenure track faculty throughout the United States’ higher education environment, if not a world-wide phenomenon. By applying Vroom’s Expectancy theory of motivation, this study intends to investigate the relationship between research productivity and motivation to conduct such activities at higher education institutes by examining the academic productions of tenured and not tenured faculty members. This study sought to confirm the need to further investigate the impact that long-term job security, in the form of tenure, has on faculty academic productivity in higher education. The present study used the data from the 2004 National Study of Postsecondary Faculty (NSOPF) survey which suggested that there was a significant difference in the number of academic activities among faculty of different ranks and tenure status, especially among full and associate professors, and associate professors and assistant professors, regardless of their tenure status. However, the difference was not significant among the non-tenured full and assistant rank faculty. This may suggest that overall, among the sample population of this study, tenured faculty members were more actively involved in presenting scholarly products. Key words: Faculty motivation, Vroom's expectation theory, expectation, valance, National Study of Postsecondary Faculty (NSOPF), tenure, rank, academic production, scholarly activity, faculty activity, higher education, higher education institute.
Characteristics of Pasteurization Milk Formulated with Ambon Banana Syrup (Musa acuminata colla) at Different Maturity

Pasteurized milk defined as fresh cow milk that processed through heating process with temperature 65°C. Generally, pasteurized aimed to prevent the damage of milk due to destructive microorganism (pathogen) activity, and able for controlling nutrition quality. Indonesia banana production in 2016 approximately 7.45  106 t, but only 1.5  106 t were consumed. Banana mostly consumed as fresh fruit, or processed as chip or nugget. This indicated that, banana is less treated for food product. Therefore, the objective of this research was to define the optimum Ambon banana maturity, and syrup concentration for producing the best pasteurized milk. This research consisted into 2 main stages consisted banana syrup production, and followed by application into pasteurized milk. Nested design was applied, with the main factor was the Ambon banana maturity (115 d, 120 d, and 125 d after flowering) and the sub-factor was banana syrup concentration (5%, 10%, 15%) with 3 replications. There was significant effect of banana maturity and syrup concentration to the fat content and aroma of pasteurized milk. While there was significant effect of banana syrup on the total dissolved solid (TDS), and total plate count (TPC) of pasteurized milk. The best treatment was 125 d Ambon banana and 15% syrup concentration, with TDS 13.11 °Brix, TPC 8.1  104 CFU mL-1, fat 12.65 %, protein 19.08 %, aroma 3.9 (like), and taste 2.5 (simply delicious).
Development, validity, and reliability of an educational robotics based technological pedagogical content knowledge self-efficacy scale

Abstract The integration of technology into science teaching by pre-service science teachers and their self-efficacy in using technology in their teaching practices are important issues for science education. The purpose of this study is to develop an Educational Robotics Technological Pedagogical Content Knowledge (ER-TPACK) self-efficacy scale based on a transformative TPACK framework. The data obtained from 266 pre-service science teachers were divided into two groups as 133 participants for generating exploratory factor analysis (EFA) and 133 participants for generating confirmatory factor analysis. Results of the EFA indicated that the ER-TPACK self-efficacy scale including 33 items loaded on a single factor. Cronbach’s alpha coefficient for sample 1 and sample 2 was 0.98. The findings revealed that the scale was a valid and reliable instrument for measuring pre-service science teachers’ ER-TPACK self-efficacy.
Efficient EK-means: Extended K-means Clustering for Categorical data with High Processing Speed

The typical representative of the hard clustering algorithm, K-means, is one of the fastest processing algorithms with good scalability. However, it cannot deal with categorical attributes, which is one of the important indicators to measure the pros and cons. Due to the lack of processing capabilities on categorical attributes, k-means has a large limit on data processing capabilities. This paper proposes a clustering algorithm extends from K-means. This algorithm introduces the concept of a Pseudo-mean distance calculation formula and a counting-table so that categorical attributes can be processed while reducing the time cost as much as possible. Experimental results illustrate the proposed Pseudo-means can extend the processing range of k-means to category-type data, and the counting table also effectively reduces the time cost.
Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction

A probabilistic prediction interval (PI) model based on variational mode decomposition (VMD) and a kernel extreme learning machine using the firefly algorithm (FA-KELM) is presented to tackle the problem of photovoltaic (PV) power for intra-day-ahead prediction. Firstly, considering the non-stationary and nonlinear characteristics of a PV power output sequence, the decomposition of the original PV power output series is carried out using VMD. Secondly, to further improve the prediction accuracy, KELM is established for each decomposed component and the firefly algorithm is introduced to optimize the penalty factor and kernel parameter. Finally, the point predicted value is obtained through the summation of predicted results of each component and then using the nonlinear kernel density estimation to fit it. The cubic spline interpolation algorithm is applied to obtain the shortest confidence interval. Results from practical cases show that this probabilistic prediction interval could achieve higher accuracy as compared with other prediction models.
Mathematics Day: Elements and Applications of Mathematics in the Final Year Project

Mathematics is one of the major subjects that every engineering student needs to learn. However, every student may have different views and interests on Mathematics subjects because of their different levels of thinking. To foster the appreciation of engineering students on the applications of Mathematics in engineering courses and help them apply and enhance their mathematical knowledge, the Fundamental Engineering Unit at the Faculty of Engineering and Built Environments, Universiti Kebangsaan Malaysia (UKM), organised the first ‘Mathematics Day' on Thursday, May 4, 2017. For their final year project, 12 students participated in a competition where they used mathematical or statistical applications to create a poster. The competition was judged by the academic assessors, industry and UKM alumni. This study examines the mathematical elements and applications in students' posters. The relevance of the elements and topics in the Engineering Mathematics course in the posters is reviewed. Reports from students who were present during the competition are also analysed to determine the effectiveness of the activity. The expected outcome of the student reports is interpreted using a statistical descriptive method, and results indicate that the students had a positive reaction to the activity.
A Dual-Polarized and High-Gain X-/Ka-Band Shared-Aperture Antenna With High Aperture Reuse Efficiency

This article describes a dual-polarized and high-gain shared-aperture antenna operating in <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>- and <italic>Ka</italic>-bands. The proposed shared-aperture antenna is implemented by combining a folded transmitarray (TA) antenna operating in <italic>Ka</italic>-band and a Fabry–Perot (FP) cavity antenna operating in <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>-band together. In this configuration, the shared aperture serves as a phase-shifting surface for the TA antenna and as a partially reflective surface for the FP antenna simultaneously. Since both of the two antennas radiate into free space through the same physical aperture, the aperture reuse efficiency of the proposed shared-aperture antenna is 100%. A four-layered, metallic double-ring structure is selected as the unit cell (UC) to implement the shared aperture to fulfill the aforementioned requirements. It is found that the frequency responses of the UC in <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>- and <italic>Ka</italic>-bands are highly independent, which can be controlled separately to facilitate the antenna design and optimization. Two dual-polarized patch antennas operating in <inline-formula> <tex-math notation="LaTeX">${X}$ </tex-math></inline-formula>- and <inline-formula> <tex-math notation="LaTeX">${K}\text{a}$ </tex-math></inline-formula>-bands are utilized to enable a dual-polarized manner of the proposed shared-aperture antenna. The simulated results reveal that the proposed shared-aperture antenna has −10 dB bandwidth of 9.8–10.2 GHz and 26.5–29 GHz with the realized gain of 14.8 dBi (at 10 GHz) and 24.4 dBi (at 28 GHz) in two polarizations. All the simulations are experimentally verified.
Identification of vital nodes in the fake news propagation

Fake news causes an adverse effect on the regular public order and has become easier to propagate with the popularity of online social networks. The threat of fake news propagation makes it important to explore the vital nodes, which are defined as nodes with large branch sizes and hence generating a wider influence than others in this work. Previous studies about identifying vital nodes are mainly from single propagation of fake news networks, which do not consider that users may participate in different propagation networks. Here we identify vital nodes with the feature named the Ck-value that combines structural feature out-degree in a single network and multi-network user activeness. The Ck-value could reflect the branch size with a strong correlation, even at the early stage of propagation, and percolation based on Ck-value is more efficient than other indicators such as node activeness and out-degree. Thus, this research may provide a better understanding of vital nodes in the fake news propagation from topology properties, and further inspires innovative ways to identify vital nodes of fake news propagation.
Analysis of the Methylation Status of CpG Sites Within Cancer-Related Genes in Equine Sarcoids

Abstract In the recent years, particular attention was given to the research aimed at optimizing the use of tumour epigenetic markers. One of the best known epigenetic changes associated with the process of carcinogenesis is aberrant DNA methylation. The aim of the present research was to evaluate the methylation profile of genes potentially important in the diagnosis and/or prognosis of equine sarcoids, the most commonly detected skin tumours in Equidae. The methylation status of potential promoter sequences of nine genes: APC, CCND2, CDKN2B, DCC, RARβ, RASSF1, RASSF5, THBS1 and TRPM1, was determined using bisulfite sequencing polymerase chain reaction (BSP-CR). The results of this study did not reveal any changes in the level of DNA methylation in the analysed group of candidate genes between the tumour and healthy tissues. Despite numerous reports describing the aberrant methylation of the promoters of the analysed genes in human cancers, the data obtained did not confirm the existence of such relationships in the examined tumour tissues, which excludes the possibility of using these genes for the diagnosis of the equine sarcoid.
Using V2G Technology as Virtual Active Power Filter for Flexibility Enhancement of HVDC Systems

The current study investigates the application of virtual active power filter (VAPF) based on connecting of electric vehicle (EV) to grid (V2G) to sustain power quality standards. The optimal discrete functionality of the power converter of EV has been established using identifying desired switching states based on the model predictive control (MPC) algorithm. An agile-dynamic property, reduced THD and appropriate desired tracking property are achieved through the suggested strategy. The simulation outcomes using MATLAB/SIMULINK confirm the usefulness of the suggested strategy in enhancing power quality as well as appropriate dynamic property in power exchanging capability.
The complete genome sequence of Sorbus insignis (Rosaceae: Amygdaloideae), an epiphytic shrub in this genus

Abstract Sorbus insignis (Hook. f.) Hedl. , belonging to S. sect. Multijugae Yu is an epiphytic shrub. Its phylogenetic position is still poorly understood. In this study, we assembled its complete chloroplast genome from whole-genome high-throughput sequencing data. The chloroplast genome was 159, 993 bp in length, with a large single-copy (LSC) region of 87, 932 bp, a small single-copy (SSC) region of 19, 255 bp, separated by two inverted repeat (IR) regions of 26, 403 bp each. It was predicted to contain a total of 132 genes, with an overall GC content of 36.56%. Phylogenetic analysis suggested S. insignis belongs to S. L. sensu stricto and closest to S. prattii Koehne among the published chloroplast genome.
Ink Classificstion in Hyperspectral Images

— Hyperspectral imaging provides vital information about the objects and elements present inside the image. That’s why they are very useful in satellite imagery as well as image forensics. Hyperspectral document analysis (HSDI) can be used for document authentication using ink analysis which can provide sufficient information about the composition and type of ink. In this project, we have implemented HSDI based ink classification technique using Principle Component Analysis for dimensionality reduction and K-means clustering for ink classification. This is unsupervised learning approach and it is very simple and efficient in order to classify limited number of bands. We have used this technique to classify 33 different bands of ink.
Corporate Social Responsibility on Firms’ Financial Performance: Evidence of Banking Sectors of Nepal

The purpose of this study was to find the trend and relationship of Corporate Social Responsibility (CSR) practices and Firm’s Financial Performance of Commercial Banks in Nepal. CSR became a mandatory issued in Nepal. Based on gaps in the extant literature, the current study hypothesizes that three dependent variables of financial performance i.e. Return on Assets (ROA), Return on Equity (ROE) and Net Income (NI) on the independent variable CSR. Out of listed 27 Commercial banks, the sample includes only 3 banks for the base of extensively disclosing CSR activities, from earlier than issued mandatory laws in Nepal. Four years of data (2015/16 to 2018/19) were collected for the study purposes. Data analyzed and interpreted using Statistical Package for Social Science (SPSS) Specifically Pearson’s Correlation to analysis the relationship between CSR disclosure activities and Financial Performance. The results revealed that out of 3 variables only a CSR activity on ROA is significantly accepted with having a negative correlation among them. Moreover, CSR activity on ROE & CSR activity on NI both are insignificant, having a neutral relationship i.e. rejected.
Correlation and multiple regression analysis of the central incisors and gingival color relationship.

Introduction The color of the gingiva was thought to be valuable assist in determining the color of the missing central incisors. The aim of this study was to investigate the correlation between CIE L*a*b* color coordinates of central incisor teeth and attached gingiva. Materials and methods Two hundred patients participated in this study, the color coordinates L*a*b* of the central incisors and attached gingiva was determined by the clinical spectrophotometer Shadepilot, Pearson's correlation and multiple regression were used to assess whether one can predict the value of the tooth color coordinates based on the values of gingival color. Results The results of current work showed significant correlation of the teeth to gingival color, except for maxillary central incisor a*, and showed that gingival color can be used to predict the color of missing central incisor teeth. Conclusion Within the limitation of the study, it was concluded that the significant correlation found between central incisors and gingival color. Keywords: Attached gingiva color, CIELAB color system, Spectrophotometer, Tooth color.
Stop-skipping in rolling horizons

Stop-skipping (also known as expressing) is a typical control strategy in public transit operations with a dual objective: (i) reduce the trip delays and (ii) improve the travel times of on-board passengers. Dynamic stop-skipping approaches decide about the stop-skipping strategy of each bus trip in isolation, neglecting the effect of the skipped stops on future trips. To rectify this, we introduce a rolling horizon stop-skipping model that determines the stop-skipping strategies of several trips within a rolling horizon. Then, we model the rolling horizon stop-skipping problem as an integer nonlinear program, and we prove that it is (at least) an NP-complete decision problem which can be solved to global optimality for small-scale scenarios. Simulation-based tests using real data from bus line 15L in Denver demonstrate a potential performance improvement of 13% when using our rolling horizon stop-skipping approach in the presence of travel time uncertainty.