Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Mediational Process in Online Foreign Language Learning

Faced with Covid-19 pandemic, the higher learning institutions across the planet continue to conduct classes for students via online learning. Educators impart knowledge using the latest technology at their disposition. These educators have to ensure that the online classes are engaging will lead to new understanding. Online classes can be stressful for some students and less motivating for others. It is crucial to identify the ideal online learning setting for foreign language learning as it can encourage students to actively participate in class. This quantitative research is conducted to investigate meditational process in online foreign language learning classes. The instrument used is a survey adapted from Arbaugh, ClevelandInnes, Diaz, Ice, Richardson & Swan (2008). The survey consists of 34 items, is given to 163 bachelor degree students taking French as a third language in a public university in Malaysia. The data is collected online via the Google Form and it is then analyzed using SPSS. The analysis from the data collected shows that teaching presence has the highest sum of mean, followed by cognitive presence and social presence. For teacher presence, the findings reveal that the instructors communicate the course design and its organization to the students clearly. In addition, the study shows that the instructors facilitate the learning process and give feedback to the students in a timely manner. For cognitive presence, the findings reveal that students could integrate new information to answer questions, use learning activities to construct explanations and use reflections and discussions to understand fundamental concepts in online classes. As for social presence, it is discovered through this study that it has the lowest sum of mean, especially regarding group cohesion. Therefore a future research focusing on how to improve group cohesion would be interesting and beneficial for the betterment of online foreign language learning classes.
Gender-Based Violence in Higher Education: An Integrative Review

Background: The phenomenon of gender-based violence is a global phenomenon that affects women negatively, including those in higher education. The scourge of gender-based violence has been highlighted in numerous studies and statistics have shown that instead of decreasing, the incidence the-reof is rising. Aim: To critically analyse research that has been conducted to understand the phenomenon of gender-based violence in higher education. Methodology: The revised integrative review protocol of Whittemore and Knafl was employed in the analysis. A comprehensive search was undertaken for gender-based violence in higher education research conducted and published between 2010 and 2021. Literature indexes in CINAHL, Medline, Pro-quest and Pubmed were searched. Search terms were gender-based, violence, and higher education. The integrative approach was used to conduct the methodological review. A sample of 12 research articles and reports that met the inclusion criteria were analysed. A systematic iterative method was employed to extract and reduce the data in order to draw conclusions. Results: Factors leading to gender-based violence, its effects on the victim and methods to eliminate its occurrence were revealed by the analysis. Conclusion: Becoming aware of factors contributing to gender-based violence and strategies to address this scourge can minimise the occurrence of gender-based violence in higher education institutions. Contribution: Understanding the concepts and strategies to prevent the occurrence of gender-based violence can assist higher education institutions to minimise these incidences.
Technical Composition of Smart Grid and its Implementation Sequence

The objectives, features, main technical composition of the modern power grid and its implementation sequence are briefly discussed.The four major objectives of smart-grid development are to achieve safe and stable operation of power grid, to enable distributed generation with great efficiency, to improve the utilization of the grid's assets, and to provide power for consumers with higher efficiency, reliability and quality.These objectives can technitically reach through the smart grid with close cooperation of the AMI, ADO, ATO and AAM.The costs and benefits of smart-grid development are depending on its implementation sequence, and thus the first step of smart-grid development is generally AMI while ADO is proposed to test in areas of high power quality requirement.It is suggested that even at the planning stage of a urban power grid, its long-term development should be taken into account as the flexible and reconfigurable distribution-network topology and the integrated energy and communication system architecture(IECSA) are the foundation of any smart-grid.
Highly-Integrated Wavelength Insensitive 2×16 Signal Splitters with Test Light Couplers

Optical splitters and couplers play an important role in the construction of various optical communication systems. Splitters, in particular, are now being used in optical signal distribution systems due to the progress of Er-doped fiber amplifiers. Wavelength insensitive couplers (WINCs) are used for an optical fiber transmission line testing system1). We have developed waveguide-type WINCs2) and 2×N splitters3) using silica-based planar lightwave circuit technology4), which enable multiple passive devices to be integrated on a Si substrate. Combining the two functions of signal light splitting and test light coupling is attractive for passive optical network systems. This paper will describe the successful integration of a 2×16 splitter and wavelength insensitive test light couplers.
The complete chloroplast genome of Calohypnum plumiforme (Wilson) (hypanceae, bryophyta)

Abstract Calohypnum plumiforme is a widely distributed moss in East Asia. In this study, Illumina sequencing data was used to assemble the complete chloroplast genome of C. plumiforme. The length of the circular genome is 124,037 bp. It contains a total of 121 genes, including 81 protein-coding, 36 tRNA, and 4 rRNA genes. The GC content of the chloroplast genome of C. plumiforme is 29.07%. The phylogenetic analysis suggested that C. plumiforme is sister to Calliergonella cuspidata. This study provides important sequence information for species identification and its phylogenetic relationship in the Bryopsida.
Density functional study of Ga intercalation at graphene/SiC heterointerface

The intercalation technique has harnessed tremendous attention in the 2D materials’ community, enabling to fabricate atomically thin and stable non-layered materials such as Ga at the heterointerface of graphene/SiC. However, the atomistic mechanism of the metal intercalation at such interface has still yet to been understood. In this study, first-principles calculations provide a thermodynamic and kinetic level understanding of the Ga penetration into and nucleation at the SiC/graphene interface. A Ga atom encapsulated at the graphene/SiC interface is thermodynamically more stable than adsorbed on the top of the graphene layer, signifying the necessity of exploiting the SiC substrate during the 2D Ga growth to facilitate the Ga migration into the SiC/graphene interface. Additionally, the sizes of a Ga atom and vacancy defect are critical to the Ga penetration through graphene, affecting the thermodynamic and kinetic preference of a Ga atom between the adsorption on graphene or the intercalation in to the SiC/graphene gallery.
Solidification modeling of iron castings using SOLIDCast

Solidification Modeling of Iron Castings Using SOLIDCast Piyapong Muenprasertdee SOLIDCast is a casting simulation software program which can simulate thermal changes and heat transfer in the solidification process of a casting. It assists the user to visualize the solidification process of a particular casting. The program offers functions to help guide a user in producing gating and riser designs and also have functions which produce visual outputs showing possible problem areas and defects which may occur in a casting. It can help shorten the lead time and reduce the loss in the trial casting stage. This thesis consists of studies to determine the important capabilities and limitations of the software, the usefulness of the riser and gating design wizard programs offered in SOLIDCast to help a user design the riser and gating system, and the simulation results and analysis of a casting design of a locomotive piston made from gray iron. www.Iran-mavad.com داوم نيسدنهم و نايوجشناد عجرم
Energy performance and flow characteristics of a slanted axial-flow pump under cavitation conditions

Cavitation is a complex flow phenomenon that hinders the efficient, safe, and stable operation of hydraulic machinery. To investigate the effect of cavitation on energy performance and flow characteristics of hydraulic machinery, cavitating flow in a slanted axial-flow pump based on entropy production theory and vortex dynamics is studied. The results show that the impeller chamber is a primary region of cavitation and energy loss generation under different cavitation conditions, including the incipient, growing, and wedge-shaped cavitation stages. In the incipient cavitation stage, as degree of cavitation strengthens, the flow at the impeller blade is smooth with little cavitation, and the variation in entropy production is constant, resulting in a stable energy performance. As it evolves into the wedge-shaped stage, the cavitation grows from the tip region near the impeller blade to the hub. At this time, the entropy production increases in the impeller chamber, resulting in a drop in energy performance. Meanwhile, flow separation appears at the impeller blade, and a secondary tip leakage vortex is promoted. The region with high vorticity basically matches the region with the high local entropy production rate. According to the relative vorticity transport equation, compressibility of cavitation strongly affects the relative vorticity in the impeller chamber, indicating that cavitation indirectly increases entropy production and energy loss by affecting the vorticity distribution, resulting in the drop in energy performance.
KARYA JOURNAL OF HEALTH SCIENCE

Objective: It is considered that evaluation of the stress level, in crisis situations, will provide a valuable source of the crisis intervention. The aim of the study was to test the Turkish validity and reliability of the COVID-19 Stress Scales. Method: This methodological study was conducted between December 2020 and January 2021 with 841 nursing students and online. The data collection form included socio-demographical characteristics of the participants, COVID-19 Stress Scales, Perceived Stress Scale, Scale of Fear of COVID-19, and Scale of Coronavirus Phobia. Translations and intercultural adaptation process were used for the Turkish version of the COVID-19 Stress Scales. Content, construct and criterion validity analyzes were performed for the validity of the Scale. Internal consistency and intraclass correlation coefficients values were calculated for the reliability of the scale. Results: The mean age of the participants was 23.63±8.5. The Content Validity Index of the COVID-19 Stress Scales was calculated as 0.98. According to suggestions of the experts, the subscale of "xenophobia" was excluded from the scale. In Confirmatory Factor Analysis, fit indices were calculated at acceptable levels and good fits. The five factors were reported in the original study of the scale, was confirmed in the Turkish version. The Cronbach's α value was 0.94 for the scale total. Strong and positive correlations was found between the test and retest scores of the total scale (ICC=0.799; p=0.001). Conclusion: COVID-19 Stress Scales with 30 items and five subscales was a valid and reliable measurement tool for Turkish society.
Escape angles for solitary animals and groups of the lizard Pholidoscelis fuscatus

Predation can be an important factor shaping the dynamics of animal groups. The lizard Pholidoscelis fuscatus forms small groups while foraging, providing the opportunity to examine how predation risk influences group dynamics. We studied the escape angles of P. fuscatus during simulated predator approaches, focusing on whether grouped lizards behaved differently from solitary animals and the extent to which group cohesion was maintained during escape. Both solitary and grouped lizards exhibited non-random escape angles, oriented away from the approaching predator. However, lizards in groups exhibited escape angles closer to 0° (i.e., more directly away from the predator) than solitary lizards. Groups maintained their cohesiveness during flight. Grouping by P. fuscatus could allow more effective escape behaviour to occur.
Improving Semantic Segmentation of Urban Scenes for Self-Driving Cars with Synthetic Images

Semantic segmentation of an incoming visual stream from cameras is an essential part of the perception system of self-driving cars. State-of-the-art results in semantic segmentation have been achieved with deep neural networks (DNNs), yet training them requires large datasets, which are difficult and costly to acquire and time-consuming to label. A viable alternative to training DNNs solely on real-world datasets is to augment them with synthetic images, which can be easily modified and generated in large numbers. In the present study, we aim at improving the accuracy of semantic segmentation of urban scenes by augmenting the Cityscapes real-world dataset with synthetic images generated with the open-source driving simulator CARLA (Car Learning to Act). Augmentation with synthetic images with a low degree of photorealism from the MICC-SRI (Media Integration and Communication Center–Semantic Road Inpainting) dataset does not result in the improvement of the accuracy of semantic segmentation, yet both MobileNetV2 and Xception DNNs used in the present study demonstrate a better accuracy after training on the custom-made CCM (Cityscapes-CARLA Mixed) dataset, which contains both real-world Cityscapes images and high-resolution synthetic images generated with CARLA, than after training only on the real-world Cityscapes images. However, the accuracy of semantic segmentation does not improve proportionally to the amount of the synthetic data used for augmentation, which indicates that augmentation with a larger amount of synthetic data is not always better.
Friction Calculation of Hydrate-slurry Pipeline Transportation and Its Influencing Factors

For gas hydrate,the slurry pipeline transportation is a novel technology recently.But,a friction may occur between slurry and pipeline wall to generate a friction loss when slurry flows, further to bring about a decrease of transportation efficiency and an increase of energy consumption.In this paper,a mathematical model to calculate the loss is established based on an analysis on slurry rheological behavior and pipeline resistance property;and then,a solution is carried out according to software programming; the effect of three factors(including hydrate solid volume percentage, pipeline inner diameter and average flow rate of slurry within pipeline) on the loss is analyzed by orthogonal method.At last, some results are obtained:the largest effect is the average flow rate,the pipeline inner diameter the second,the volume percentage the last,respectively.In addition,it is noted that the effect of flow-rate scale on friction loss should be taken into consideration when selecting water pump.
The complete chloroplast genome of Chimonobambusa utilis (Keng) P. C. Keng, known as ‘the king of bamboo shoots’

Abstract The whole chloroplast (cp) genome sequence of Chimonobambusa utilis (Keng) P. C. Keng has been characterized using Illumina pair-end sequencing. The complete cp genome (GenBank accession: OK040769) was 139,540 bp in length, containing a large single copy region (LSC) of 83,133 bp and a small single copy region (SSC) of 12,811 bp, which were separated by a pair of 21,798 bp inverted repeat regions (IRs). The genome contained 133 genes (114 unique), including 86 protein-coding genes (81 unique), 39 tRNA genes (29 unique), and eight rRNA genes (four unique). The overall GC content of C. utilis cp genome is 38.88%. Phylogenetic analysis of 32 cp genomes within the supertribe Bambusatae suggests that C. utilis is closely related to C. quadrangularis.
Nonlinear Estimation and Control of Bending Soft Pneumatic Actuators Using Feedback Linearization and UKF

In this article, we combine nonlinear estimation and control methods for precise bending angle control in soft pneumatic actuators driven by a pressure source and single low-cost on/off solenoid valve. First, a complete model for the soft actuator is derived, which includes both the motion and pressure dynamics. An unscented Kalman filter (UKF) is used to estimate the velocity state and filter noisy measurements from a pressure sensor and an embedded resistive flex sensor. Then, a feedback linearization approach is used with pole placement and linear quadratic regulator (LQR) controllers for bending angle control. To compensate for model uncertainties and improve reference tracking, integral action is incorporated to both controllers. The closed-loop performance of the nonlinear estimation and control approach is experimentally evaluated with a soft pneumatic network actuator. The simulation and experimental results show that the UKF provides accurate state estimation from noisy sensor measurements. The results demonstrate the effectiveness and robustness of the proposed observer-based nonlinear controllers for bending angle trajectory tracking.
Individual and Province-level Determinants of Unemployed NEET as Young People’s Productivity Indicator in Indonesia During 2020: A Multilevel Analysis Approach

Nowadays, employment has become one of the focus of attention for developing countries, including Indonesia. This is one of the urgencies that must be addressed considering that the Indonesian population is entering the demographic divident period. Success in achieving the demographic divident is very dependent on the employment conditions of young people in realizing a low level of dependence. However, obstacles in terms of education and employment are still experienced by youth which can be seen from the percentage of NEET from Year-on-Year (YoY), especially in 2020 it is exacerbated by Covid-19 pandemic. Based on these problems, it is necessary to research NEET in Indonesia in 2020. This study uses 2020 National Labor Force Survey (Sakernas) data which is analyzed by using multilevel binary logistic regression analysis. The unemployed status of young NEETs is influenced by gender, age, marital status, highest education completed, disability status, classification of the area of residence, and recent migrant status. There is a multilevel effect in the NEET assessment of young people as evidenced by the influence of Gross Domestic Product (GDP) and Human Development Index (HDI). The research results are expected to be used as a reference in making policies to optimizing the mismatch program on the pre-employment card to bridge the young age of job seekers with available job opportunities and based on the province-level variable, the province government are expected to maximize the province-level variables that affect the tendency of NEETs to remain active in the labor market. that are targeted towards the NEET problem in Indonesia.
An underwater moving dipole tracking method of artificial lateral line based on intelligent optimization and recursive filter

Inspired by the lateral line system of fish, an artificial lateral line system is proposed for underwater target detection. The dipole is treated as a standard and simplified target. In previous studies, most researchers focused on the dipole at a fixed position and the trajectory tracking of a moving dipole was barely considered. In this paper, a new trajectory tracking method for a moving dipole is proposed. First, based on the instant pressure amplitude and loss function, the dipole trajectory is tracked by particle swarm optimization (PSO). Then, the PSO-tracked trajectory is optimized by using recursive filters such as a Kalman filter (KF) and a particle filter (PF) to reduce the tracking error. The experiment result showed that when the trajectory of the dipole was rectangular, the target tracking accuracy of PSO was competitive compared with the Gauss–Newton method. The mean error distance (MED) of PSO was 12.51 mm. The PF showed better optimization performance than the KF in this study, and the corresponding MED of the PF was 7.064 mm. The main factor that caused tracking errors was pressure mismatch. In the simulation, when pressure mismatch was not considered, the performance of the proposed dipole tracking method was highly improved.
Study on the Detection of Water Treeing in XLPE Power Cable with Duffing Chaotic Oscillation

On-line Detection is very important for XLPE Power Cables running.The AC Superposition Method is efficient method for XLPE Power Cables' water tree deterioration detection.Its key problem is the precision measuring of the weak 1 Hz characteristic current which is the token of water tree deterioration.In this paper,theory of controlling chaos is introduced in the XLPE Power Cables water tree on-line detection and a special chaotic system is put forward to precise measure the 1 Hz characteristic current,which based on that the Duffing chaos oscillation is respond sensitively to the 'same frequency' periodic signal and immunity to the 'biggish frequency difference' periodic signal with the periodic instigated force.The results of experiment show that the chaotic system can effectively to detect the 1 Hz characteristic current precisely and sensitively.
Contextualizing the Impact of the COVID-19 Pandemic on the Educational Experiences and Outcomes of Latinx College Students in Texas

ABSTRACT The transition to remote education during the COVID-19 pandemic is feared to have widened the achievement gap previously experienced by students from low socioeconomic and minority backgrounds. We utilized data from the COVID-19 Texas College Student Experiences Survey to assess the impact of the pandemic on Latinx students’ (n = 231) educational experiences and outcomes, including perceptions about institutional resources, coursework outcomes and experiences, and home educational environments. Regression models examined within-Latinx differences in educational outcomes across age, gender, income, nativity, parental status, student classification, and enrollment status. Interactions between student classification and the other student characteristics were tested. Overall, the educational experiences and outcomes of Latinx students varied significantly in the initial months of the pandemic. Latinx students from low-income backgrounds had less access to home educational resources, had lower GPAs, expected their GPAs to decline, and their ability/motivation to complete coursework was negatively impacted compared to high-income students. Undergraduates also experienced more challenges than graduate students, and in some instances, gender and income differences in educational experiences were worse among undergraduates. Higher education institutions and policymakers should support policies that expand access to educational tools and resources to facilitate learning during the pandemic and to better support Latinx students.