Miracle-dz/UniFAR-FTUs huggingface dataset:
Linear piezoelectric actuator applied to interference microscope

A linear piezoelectric stack actuator used for the focus adjustment system of an interference microscope was proposed and a micropositioner was also developed.The structure of the actuator was designed based on the principle of triangle displacement amplification.The modeling of the steel frame structure was realized by parameter design language APDL in the ANSYS,and the parameters of the structure were optimized by the optimization algorithm of Differential Evolution(DE) in Optimus.A experimental prototype for the actuator was produced,and laser interferometric experiment shows that the actuator′s amplification factor reaches 7 when the drive voltage is between 40 V and 100 V.Finally,the piezoelectric stack actuator was mounted on the micropositioner to be a driver for an interferometer.Experiments show that the step resolution of the micropositioner with flexure hinges has reached 23 nm under the system voltage of 24~40 V and an increment voltage of 0.8 V.These data meet the requirement of interferometric fringe of interference microscope for linear displacement resolution.
Communication Skill, Student Engagement and Self-Efficacy: Flow on Effect on Student Online Learning

The transition from offline learning to online learning needs to be researched comprehensively. Accounting lessons, which were originally conducted face-to-face, were finally conducted online due to the COVID-19 pandemic. This study examines online learning using google meet on communication skills, student engagement, and student self-efficacy. The subjects of this study were students who took public sector accounting courses in their second year of study. Data collection was carried out using a google form distributed in public sector accounting classes. Paired t-test was used to analyze 120 student responses. The findings show that students' communication skills in online learning are increasing. Students can express their opinions and ideas using oral, written, and group presentations. However, online learning did not contribute to student engagement and student self-efficacy. They do not have clear learning targets because they do not have the pressure to be involved in online classroom activities. This implies that students have not realized that they should be involved in online learning. Other causes include low supervision by lecturers, and low awareness of students to learn. In addition, students are also unsure of their ability to do academic assignments. Based on these findings, this study provides significant implications for students and lecturers in choosing and using more appropriate online learning strategies to improve communication skills, student engagement, and self-efficacy.
Research on Ultracapacitor/Battery Energy Storage in Wind/Solar Power System

A complementary scenery generation of super-capacitor and battery hybrid energy storage system is presented,it makes full use of the high density of batteries energy and high power density,long cycle life advantages of super capaci-tors,the performance of energy storage system is enhanced greatly.Hybrid energy storage system and control aspects of the model are set up.The results show that in the landscape of power generation and load power pulse,battery can work in the optimization of charge-discharge state and reduce the charge-discharge cycles effectively,the battery life is extended and the efficiency of entire system is improved.It has great significance to solve the energy storage problem in new energy power generation system.
Experimental Investigation of a Small-Aspect-Ratio Elliptic Jet under Pseudolocal Excitation

The dynamics of a small-aspect-ratio elliptic jet were investigated experimentally in this paper. Since the development of instability waves in the shear layer along the minor axis is faster than those in the shear layer along the major axis, an axis-switching will take place somewhere in the downstream. Results show that the axis-switching point moves upstream when the jet is under acoustic excitation. It is interesting to note that the most unstable wave in the major axis rolls up almost at the same location as the vortex pairing in the minor axis, i.e., z/a = 1.5. Consequently, a jet excited by a fundamental frequency in the major-axis plane and a subharmonic frequency excitation in the minor-axis plane, i.e., &(/ö, fij2) can be said to be pseudolocally excited. The vortex pairing process displaces large amounts of fluid from the surroundings of the major-axis region into the minor-axis region. This enhances momentum transport significantly in the minor-axis plane.
Substrate-integrated waveguide filters based on mushroom-shaped resonators

This paper presents a new class of quasi-elliptic pass-band filters in substrate-integrated waveguide technology, which exhibits compact size and modular geometry. These filters are based on mushroom-shaped metallic resonators, and they can be easily implemented using a standard dual-layer printed circuit board manufacturing process. The presented filters exploit non-resonating modes to obtain coupling between non-adjacent nodes in the case of in-line geometry. The resulting structure is very compact and capable of transmission zeros. In this work, the singlet configuration is preliminarily investigated, and a parametric study is performed. The design of three-pole, four-pole, and higher-order filters is illustrated with examples and thoroughly discussed. A four-pole filter operating at the frequency of 4 GHz has been manufactured and experimentally verified, to validate the proposed technique.
Bioprospecting of bacterial symbionts of sponge Spongia officinalis from Savu Sea, Indonesia for antibacterial potential against multidrug-resistant bacteria

Abstract. Prastiyanto ME, Kartika AI, Darmawati S, Radjasa OK. 2022. Bioprospecting of bacterial symbionts of sponge Spongia officinalis from Savu Sea, East Nusa Tenggara, Indonesia for antibacterial potential against multidrug-resistant bacteria. Biodiversitas 23: 1118-1124. Marine sponge Spongia sp. has been reported to have potential as an antibacterial agent. However, less information on the potential of bacterial symbionts of Spongia sp. as an antibacterial agent has been documented. The present investigation involves isolating bacterial symbionts of sponge Spongia officinalis and the characterization of antibacterial potential against multidrug-resistant bacteria isolated from clinical specimens. Spongia officinalis was collected from Savu Sea, East Nusa Tenggara, Indonesia and its symbionts were isolated with Zobell marine agar media. The overlay method was used to screen the antibacterial activity against selected six MDR bacteria. Antibacterial activity was determined by measuring the diameter of the inhibition zone. Identification of active bacterial symbionts was carried out based on the 16S rRNA gene sequencing. The results revealed that four out of 10 symbionts showed antibacterial activity against MDR bacteria with an inhibition index ranging from 4.8 to 12.6 mm. Prastiyanto-1A and Prastiyanto-1E isolates demonstrated antibacterial activity against ESBL- Escherichia coli and ESBL + CRE- Klebsiella pneumoniae subsp. pneumoniae, Pratiyanto-2A isolate showed antibacterial activity against MRSA, while Prastiyanto-4A isolates showed antibacterial activity against CRPA. The selected four isolates were identified as Bacillus subtilis, Bacillus mojavensis and Bacillus simplex using 16S rRNA gene sequencing and BLASTn analysis. These results provide information about the potential of bacterial symbionts of S. officinalis as natural antibacterial sources against MDR bacteria.
Towards Displacement-Based Seismic Assessment of Concrete Dams Using Non-linear Static and Dynamic Procedures

Abstract The current paper demonstrates the application of a displacement-based procedure in the seismic safety assessment of large concrete dams. Two dam structures, double arch and gravity, are used as case studies and analyzed through conventional force-based approaches for various seismic levels. Non-linear static analyses are used for the assessment of structural capacity and non-linear dynamic analyses—to obtain the maximum response for each seismic level. The safety of the dams is assessed through displacement-based damage indicators in the form of damage indexes (DIs) and safety factors (SFs). The DI accounts for the accumulated inelastic deformations in the structure and is related to pre-defined damage levels (DLs), while SF evaluates the structural safety margins in terms of seismic load intensity. In addition, the paper provides an assessment of the applicability of non-linear static procedures (NSP) for seismic assessment of large concrete dams. The results obtained from NSP for seismic level maximum credible earthquake (MCE) are compared with a set of ten dynamic non-linear analyses for the same seismic intensity. NSP results tend to give a more conservative prediction, but are still consistent with the results calculated via non-linear dynamic analyses.
Discoid and Asymmetrical Gyroless Micro-Satellite Off-Modulation Attitude Control with Kalman Filter

The gyroless attitude control method and kalman algorithm procedures presented in this paper are applicable to asymmetrical microsatellites of any shape with large mass variation and without angular rate sensors. The attitude sensors include a three-axis magnetometer, a horizon sensor, and a coarse sun sensor (CSS), which together serve as an analytic platform and help in ensuring the stability of attitude controls. The attitude control problem of microsatellites has become a focal point because microsatellite fabrication processes are short, costless, and can be flexibly used for various purposes. The center of mass of the microsatellite can be offset because of fuel consumption during propulsion, irrespective of the existence of interference from the external orbital environment, such as gravity gradient torque and solar radiation torque. For a microsatellite with a discoid and asymmetrical shape, attitude control is difficult. One of the solutions to overcome the difficulty is to design a robust controller that assists the attitude pointing of the satellite to satisfy requirements in the presence of internal parameter perturbations and external disturbances. The robust nonlinear state feedback used in the design of the propulsion mode attitude control for FORMOSAT-3 was applied in this study, and the feasibility of the controller was cross-validated through time and frequency domain stability analyses. The time-domain performance indexes (e.g., rise time, maximum overshoot, and stabilization time) of the designed state feedback gain were consistent with a robust stability margin of the stable performance index in the frequency domain. Furthermore, to reduce the weight and manufacturing cost of the satellite, an extended Kalman filter algorithm was used to obtain the gyroless satellite attitude rate. Other sensors, such as the CSS and earth horizon sensor were adopted to help sense satellite attitude controls.
Perceived and Actual Cognitive Presence: A Case Study of an Intentionally-Designed Asynchronous Online Course

Online instructional design and how to engage students cognitively in online asynchronous courses have been an ongoing question. This case study presents an intentional design of an asynchronous online graduate course to foster cognitive presence. The research questions investigate students’ cognitive presence (CP) captured by two measures: Community of Inquiry (CoI) survey (for self-report) and Linguistic Inquiry and Word Count (LIWC) software (for actual behaviors) in this online course. Additionally, it also addresses how cognitive presence is related to other presences and how the online course design elements were perceived by students. Results showed that students perceived high levels of cognitive presence and they showed high cognitive presence in their discussion board acts. There was a relationship between three presences; and findings showed that teacher and social presence were strong predictors of perceived cognitive presence. Although students in the study rated themselves high on the CoI instrument and scored high on the LIWC for cognitive presence, self-presentation bias still emerged. Strategies that helped students to stay cognitively present in this asynchronous online course included: instructor responsiveness in discussion posts and creating dialogue, creating course assignments as online hands-on project, interviewing guest speakers on specific course topics, weekly recap and orientation videos, feedback, case-based discussions, and other elements.
Design of PWM rectifier based on fuzzy PI controller

An effective control method for three-phase voltage source PWM rectifier based on fuzzy controller was proposed to solve the problem, which PI parameters obtained by some simple mathematical model of the PWM Rectifier were uncoordinated to achieve a good system response performance. Compared with conventional PI control method, PI parameters could be automatically changed and the system was made better in response performance and in stability and robustness ability. Finally, a simulation model of the rectifier was built by the Matlab /Simulink toolbox to prove the reasonable of the above design method.
Relationships between Connectedness, Performance Proficiency, Satisfaction, and Online Learning Continuance

Maintaining momentum is vital in terms of how soon students can complete a program, especially for those who are in the early stage of taking online courses. This study attempted to extend the existing literature by examining the influence of online students’ perceived sense of connectedness, performance proficiency, and satisfaction on their intentions to continue an online learning course. A quantitative survey approach was adopted to test our hypothesized structural model. Three hundred and sixty-nine students who had taken fewer than three fully online courses participated in this study. The results revealed that three out of four testing hypotheses were all supported at the 0.01 significance level, and one of the path coefficients indicated that online students’ confidence in their ability or competency to perform academic tasks did not directly influence their intention to take future online courses. Instead, the influence of performance proficiency on online learning continuance intention was mediated through the factor of satisfaction. In addition, satisfaction was found to have a significantly direct impact on online learning continuance intention, suggesting that when students taking online courses are satisfied with their online learning experience, the likelihood for them to continue taking other online courses is higher.
Use of Mechanistic Empirical Pavement Design Software for Proper Design and Construction of Reclaimed Pavements

The Maine Department of Transportation (DOT) spends a considerable amount of funds on construction, rehabilitation and maintenance of asphalt pavements in the state of Maine. Full depth reclamation without using any additive, or by using foamed asphalt or plant mixed recycled asphalt pavement provides a cost effective way of rehabilitation of old and distressed asphalt pavements. Generally, these reclaimed pavements consist of approximately 18 inch of subbase, 6 inch of reclaimed base and 3 inch of hot mix asphalt. One of the critical things needed for the durability of these pavements is the consideration of the entire structure and its resistance against the different kinds of distresses, namely, fatigue cracking, rutting and thermal cracking during design and construction. This study was carried out to model such pavements and simulate the effects of design traffic and environmental conditions. The scope of work involved collection of data for the pavement structures and materials, setting up models, and simulating the effect of different materials and structures with the newly available Mechanistic Empirical Pavement Design Software. Pavements reclaimed between 2002 and 2003 were surveyed to determine the prevalent type of distress. In relatively cooler areas with low traffic, the prevalent distress mechanism seems to be thermal cracking. The results of simulation with different binder grades show that a 34 grade binder is necessary to prevent thermal cracking failure (> 1000 ft per mile) within a design life of 15 years for pavements in projects located north of Bangor. To continue with the currently used -28 grade binder, these pavements must be constructed with 8 inch (or more) thick hot mix asphalt surface layers. In consideration of the initial cost, the use of a -34 grade binder seems to be the more attractive option to prevent premature thermal cracks in such pavements.
Energy Conversion and Conservation Technology in Facing Net Zero-Emission Conditions and Supporting National Defense

Conversion technology is a solution that was born to solve energy problems and human needs. Without energy, all human activities ranging from households and jobs to the industry cannot work as they should, but energy conversion that uses conventional fuels will cause new issues such as climate changes. Therefore, energy conservation is very important for sustainability and energy saving. So, by reducing energy use, the pollution produced will decrease. This paper focuses on the introduction of energy conversion and conservation technology based on a qualitative literature review to deal with net-zero emission conditions. The conversion technology is environmentally friendly and efficient, and is committed to following the international Net Zero Emissions (NZE) agreement, renewable energy conversion technology and new technologies (fuel cells) to meet Indonesia's defense equipment and defense needs. Indonesia's energy use (2019) consists of oil 35%, coal 37.3%, gas 18.5%, hydropower 2.5%, geothermal 1.7%, biofuel 3%, and other renewables at nearly 2%. In 2013 Indonesia's recoverable shale resources obtained a value of 8 Billion Barrels. Because of that the total CO2 emissions resulting from energy use in Indonesia are 581 MtCO2 in 2019. Efforts to fulfil Indonesia's Nationally Determined Contribution (NDC) continue to be carried out, so that Indonesia's target is to enter a state of net-zero emission by 2060. Fuel cell technology has the potential to be applied in the Indonesian National Army, because of its relatively small size, light weight, zero-emission, high specific energy and zero-noise.
Update on the psychometric properties for the Italian version of the Aachen Aphasia Test (IT-AAT)

ABSTRACT Background The Aachen Aphasia Test (AAT) is still the main test in use for the evaluation of aphasic deficits in German-speaking individuals (Huber et al., 1983, 1984). The test has also been adapted to the Italian language (Luzzatti et al., 1996) and was administered to 384 people with aphasia (PWA) almost exclusively after left-hemisphere brain damage (plus 24 individuals with residual symptoms and 8 without aphasia) and 88 control individuals. The study of construct validity and reliability, as well as norm data, were based on those 343 PWA who passed the preliminary examination for applicability of the Token Test. Aims Motivated by current calls for improving the quality of outcome measures in aphasiology, we re-analyzed the psychometric properties of the Italian version of the AAT (IT-AAT) in an enlarged participant sample, and, for key analyses, with more recent psychometric methods. The overall sample comprised 674 PWA (plus 89 individuals with left-brain damage, including 60 individuals with residual aphasic symptoms and 29 individuals without aphasia). The investigation of construct validity, reliability, and extended norm data was based on the subset of 598 PWA who passed the AAT Token Test inclusion criterion. Main Contributions Assessment of construct validity, differential validity, and reliability aspects corroborated the earlier test properties. The extended norm data applied to the performance of an exemplary PWA yielded unanimous assignment to a Wernicke-type aphasia at initial assessment, which evolved, after speech-language therapy, to an impairment pattern consistent with conduction aphasia, characterized by disproportionately poorer performance in subtest Repetition than in subtest Comprehension. Significant improvement could be demonstrated for all subtests, which remained reliable even after taking into account the average expected increase in scores due to spontaneous recovery. Conclusions The psychometric properties and the enlarged normative sample size are well suited for a valid application of diagnostic psychometric single-case analysis procedures to individual patients’ AAT performance profiles and their comparison to detect changes in performance over time.
Predicting Cognitive Presence in At-Scale Online Learning: MOOC and For-Credit Online Course Environments

In this study, we work towards a strategy to measure and enhance the quality of interactions in discussion forums at scale. We present a machine learning (ML) model which identifies the phase of cognitive presence exhibited by a student’s post and suggest future applications of such a model to help online students develop higher-order thinking. We collect discussion forum transcript data from two online courses: CS1301 (an introductory computer programming MOOC) offered by edX and CS6601 (a graduate course on artificial intelligence) which uses the Piazza online discussion tool. We manually code a random sample of students’ posts based on the Community of Inquiry coding scheme and explore trends in cognitive presence within and across the courses. We further use this coded data to analyze the relationship between students’ observed cognitive presence and course grades. In terms of testing and building an ML model, we use a Bidirectional Encoder Representations from Transformers model that uses a deep learning technique to train large text corpus and fine-tune the language model. Our results suggest that deeper cognitive engagement with course concepts, as expressed by higher cognitive presence, are associated with better learning outcomes for students in both course settings. Our ML approach achieves 92.5% accuracy on the classification task, motivating the use of ML for instructional interventions in online courses. We expect that our research study will not only contribute to extending the literature on cognitive presence but also have a beneficial impact on online instructors or curriculum developers in higher education.
Metacognitive Skills of Junior High School Students in a Pandemic Period Based on the Enriched Virtual Model of PjBL

Currently, the Covid-19 pandemic has become a significant problem faced by the world of education. The presence of Covid-19 has affected the teaching and learning process in various countries. Almost all countries implement physical distancing policies so that many schools are forced to replace face-to-face learning with online learning based on information and communication technology. The limitations of face-to-face activities in online learning are an obstacle for education, especially in the pandemic era. Moreover, the development of science and technology in the 21st century provides new challenges for the world of education, requiring students to have cognitive skills and metacognitive skills. This quantitative study investigates the effect of the project-based learning-based enriched virtual learning model on students' metacognitive skills. The research design was quasi-experimental with a nonequivalent control group design involving 40 students (22 male students and 18 female students) in class VII. Metacognitive skills were measured using a metacognitive rubric. Data collection is done by using pre-test, post-test, and assignment. Successively, the test used to analyze the metacognitive skills data was One-Way ANCOVA. The results showed that the project-based learning-based enriched virtual learning model significantly affected metacognitive skills (Sig = 0.000). Overall, students got a very memorable experience when following the learning stages so that the model can be used as a reference for use in the following science lesson.