Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of webquest using Google Site in teaching Circulatory System

This study aimed to develop a webquest in teaching circulatory system using Google site for Grade VI pupils. The developed webquest was an instructional material designed to enhance pupil’s performance in engaging learning activities especially in science lessons based from the K-12 Science Curriculum. The developed webquest was evaluated and rated Excellent by the ICT Experts, In-Service Teachers and Pre-Service Teachers. The comments and suggestions were used to improve the developed webquest. The researchers also made use of the Flesh-Kencaid Readablity Test to determine the readability of the developed webquest and the results revealed that it is appropriate for Grade VI pupils.
The communicative processes of attempted political persuasion in social media environments

Purpose The purpose of this paper is to investigate the process by which social media news use leads individuals to engage in attempted political persuasion, examining the mediating roles of cognitive elaboration, political knowledge, political efficacy and political interest. Design/methodology/approach The study relies on a nationally representative two-wave online survey collected before the 2016 US Presidential Election. Serial mediation is tested using the PROCESS macro. Findings The study finds significant indirect effects of social media news use on political persuasion via cognitive elaboration, political knowledge, political efficacy and political interest. Research limitations/implications Causal inferences should be made with caution. While the measurement of cognitive elaboration is based on prior literature, it is a complex mental process that could be measured more directly in future research. Social implications The findings imply that social media news use contributes to a potentially discursive environment in which cross-cutting views may drive argumentation. Thus, the study sheds light on how social media contribute to persuasive political conversation. Originality/value The study applies the O-S-R-O-R model to political persuasion and highlights the processes of reflection, understanding and elaboration that convert news use into attempted persuasion.
Design and Analysis of a Miniaturized Meandered Slot-Line-Based Quad-Band Frequency Agile MIMO Antenna

In this work, a novel miniaturized meandered slot-line-based quad-band multiple-input-multiple-output (MIMO) antenna system is presented. The proposed design consists of two-antenna elements meandered in an H-shaped configurations. The miniaturization techniques of meandered slot-line and reactive loading are implemented to operate the antenna in sub-1 GHz bands with compact structure which results in an antenna size of <inline-formula> <tex-math notation="LaTeX">$0.08\lambda _{o}$ </tex-math></inline-formula> corresponding to its lowest operating band. The frequency reconfigurability in the design is achieved by reactively loading the slots using varactor diodes. Covering most of the modern communication standards, the antenna operates in 0.665–1.13 GHz, 1.415–2.005 GHz, 2.42–3.09 GHz, and 3.18–3.89 GHz bands. Furthermore, complete analysis of frequency reconfigurability and design procedure is provided as a guideline for designing such an antenna system for any desired band of operation. The proposed two-element design is realized on a board dimensions of <inline-formula> <tex-math notation="LaTeX">$60\times 120\times0.76$ </tex-math></inline-formula> mm<sup>3</sup> using an RO4350 substrate. The proposed design is well-suited for wireless terminals with second generation cognitive radio (CR) capabilities for radio-frequency (RF) front-end applications.
A Study On Research Trends In Deep Learning In Various Engineering Fields

: Deep learning comes under the broader concept of machine learning where the computers learn through examples. Deep learning includes many smart-world systems that are human-centred. These systems vary from self-driving vehicle systems, natural language assistants to targeted advertisements. Deep learning has been incorporated into many research areas to solve lot of problems. In this paper, deep learning is investigated thoroughly across different mechanisms and applications in smart systems. New areas for deep learning research are outlined. This paper would be of immense help to newcomers in deep learning.
High-Order Compensated Wireless Power Transfer for Dimmable Metal Halide Lamps

A high-order compensated wireless power transfer (WPT) system is proposed and implemented for dimmable metal halide (MH) lamps without using any ignitor or ballast. Possessing high ignition voltage and constant current output, the LCC-LC compensated WPT is identified to be more competent for MH lamps as compared with the four basic compensation networks as well as the double-sided LCC compensation networks. Meanwhile, dimming control and power stabilization are achieved by the phase-shift modulation, and the multilayer multitype coil is newly proposed to enhance the tolerance of varying coupling coefficients. For exemplification, a wireless dimmable MH lamp operating at 400 kHz has been designed and prototyped. Particularly, the system can tolerate coil deviation up to 20 cm and dim the lamp down to 30% of standard illuminance with the merit of acoustic resonance free. Both theoretical and experimental results are given to validate the feasibility of the proposed system.
Goubau line based end‐fire antenna

This article proposes a simple and low profile planar Goubau line based end‐fire antenna. End‐fire radiation is achieved by modifying the Goubau line into inverted periodic arrangement of V‐shaped unit cells. Designed prototype is simulated and verified experimentally. Both the simulated and measured results are in good agreement. Proposed antenna radiates toward end‐fire direction between 7.8 and 8.3 GHz. The maximum gain of the antenna is obtained around 7.2 dBi. The average efficiency is observed 70% over the entire operating bandwidth. Proposed end‐fire antenna has a single metallic layer with simple configuration which is easy to fabricate and also easy to integrate with other electronics circuits. The proposed antenna can be used for satellite and RADAR applications.
Interdisciplinary Research of Virology and Nanobiology

Over the last few years, we have made progresses mainly in two aspects. Firstly, with nano/molecular fluorescent probes and techniques such as molecular beacons, quantum dots, FRET imaging, etc, we have developed a series of methods for visualizing viral nucleic acids, proteins and virus particles in living cells by using some viruses as models including influenza virus, SV40 virus, etc. We have visualized dynamic behaviors for some viral nucleic acids, viral proteins and virus particles in living cells, and demonstrated their molecular mechanisms.
Dual topology for partitioning of water distribution networks considering actual valve locations

ABSTRACT This paper proposes a general framework to adjust water distribution network (WDN) partitioning algorithms to account for the real positions of isolation valves. It is based on changing the reference WDN topology, on which partitioning algorithms typically operate. Specifically, the WDN topological description based on nodes and pipes must be replaced with a dual topology based on WDN segments and isolation valves. A generic partitioning algorithm can then be applied to the dual topology. As a result, DMAs are obtained by merging adjacent segments while inter-DMA boundary pipes are forced to be selected among the valve-fitted pipes that separate segments. This framework enables obtaining feasible WDN partitioning solutions, which do not need additional isolation valves to be installed. The applications of the novel framework to three WDN partitioning algorithms prove its effective applicability in one explicatory WDN and two WDNs of the real world.
Satellite IoT Edge Intelligent Computing: A Research on Architecture

As the number of satellites continues to increase, satellites become an important part of the IoT and 5G/6G communications. How to deal with the data of the satellite Internet of Things is a problem worth considering and paying attention to. Due to the current on-board processing capability and the limitation of the inter-satellite communication rate, the data acquisition from the satellite has a higher delay and the data utilization rate is lower. In order to use the data generated by the satellite IoT more effectively, we propose a satellite IoT edge intelligent computing architecture. In the article, we analyze the current methods of satellite data processing, combined with the development trend of future satellites, and use the characteristics of edge computing and machine learning to describe the satellite IoT edge intelligent computing architecture. Finally, we verify that the architecture can speed up the processing of satellite data. By demonstrating the performance of different neural network models in the satellite edge intelligent computing architecture, we can find that the lightweight of neural networks can promote the development of satellite IoT edge intelligent computing architecture.
An Initial States Recognition (ISR) Method for Start-Up of 1Ф BLDC Motor in Hall-Sensor-Less Fan Applications

The initial state is very important for a single-phase brushless DC (BLDC) fan motor when starting, especially in fan application with a nonstatic motor. The direction of self-rotation caused by the external thrust needs to be considered to avoid the starting fail or wrong running direction. This article proposes an initial states recognition (ISR) method to smartize the starting procedure. However, the self-rotation direction identification of single-phase BLDC motors is a challenge, which is even more difficult in some applications without rotor position sensors. The unequal air gap, which is designed by the geometric variation on the pole shoe to form the asymmetric stator, is generally the necessary design for the single-phase BLDC motor to dodge the null torque position (dead point) and determine the operation direction; and it will further form the asymmetrical waveform of the back electromotive force (EMF) voltage. The asymmetric distribution of back EMF waveform will be opposite in half cycle (positive or negative half cycle) with the rotation direction. The proposed ISR method utilizes this trait to achieve the self-rotation direction recognition before starting a dynamic single-phase BLDC fan motor. Finally, under the architecture of Hall-sensor-less control, the experimental results prove that the proposed method is reliable and feasible.
Optimization of Nonspherical Gold Nanoparticles for Photothermal Therapy

Previous investigations devoted to the optimization of nonspherical gold nanoparticles for photothermal therapy (PTT) encountered two issues, namely, the appropriate selection of objective functions and the processing of particle random orientations. In this study, these issues were resolved, and accurate optimization results were obtained for the three typical nonspherical gold nanoparticles (nanospheroid, nanocylinder, and nanorod) by using the T-matrix method. The dependence of the optimization results on the excitation wavelength and the refractive index of tissue was investigated. Regardless of the excitation wavelength and tissue type, gold nanospheroids were found to be the most effective therapeutic agents for PTT. The light absorption ability of optimized nanoparticles could be enhanced by using a laser with a longer wavelength. Finally, the design tolerance for the different sizes of nanoparticles was provided.
A Novel Integrated Topology to Interface Electric Vehicles and Renewable Energies with the Grid

Electric Vehicles (EVs) are an alternative to internal combustion engine cars to reduce the environmental impact of transportation. It is common to use several power sources to achieve the requirements of the electric motor. A proper power converter and an accurate control strategy need to be utilized to take advantage of the characteristics of every source. In this paper is presented a novel topology of a multiple-input bidirectional DC-DC power converter to interface two or more sources of energy with different voltage levels. Furthermore, it can be used as a buck or a boost in any of the possible conversion of energy. It is also possible to independently control the extracted power in each source and any combination of the elements of the system can be used as source and destiny for a transfer. Finally, the interaction with the grid is possible. The operation, analysis and design of the converter are presented with different modes of power transfer. Simulation results are shown where the theoretical analysis of the converter is validated.
Effects of personality on job burnout and safety performance of high-speed rail drivers in China: the mediator of organizational identification

Abstract Although the rapid development of high-speed rail (HSR) enhanced the national transportation and boosted the economical grow in China, it also has great impacts on the psychology and behaviors of high-speed rail drivers. Personality traits affect individual's psychological and behavioral performance at work. In this paper, two studies were designed to partly investigate whether or not personality factors affects job burnout and safety performance of HSR drivers in China. In Study 1, the data was collected from 273 HSR drivers in China. The results showed the personality of HSR drivers affected their job burnout. In particular, neuroticism, openness and agreeableness negatively influenced job burnout. Organization identification partly mediated the association between neuroticism, openness, agreeableness and job burnout. In Study 2, we collected data from 349 high-speed rail drivers from 6 railway bureaus across the country, and the results are very similar to of Study 1. That is neuroticism, openness and agreeableness positively influenced safety performance. Organization identification partly mediated the association between neuroticism, openness, agreeableness and safety performance. Finally, the difference between the results of this study and other scholars' research results is also discussed, and practical suggestions are put forward.
Systematic Common-Mode Filter Design for Inverter-Driven Motor System Based on In-Circuit Impedance Extraction

Inverter-driven induction machines often suffer from premature bearing failure due to high-frequency common-mode (CM) voltage and induced CM current. One effective remedy is adding a CM filter to suppress the CM current. Optimal CM filter design requires prior knowledge of both noise source and termination impedances. With an improved in-circuit impedance measurement setup, the CM noise source impedance of a high-power inverter-driven motor system with strong background noise can be extracted. The setup also protects the measurement instruments from surges and transients from the harsh operating environment. The extracted noise source impedance allows a CM filter to be designed systematically without overdesigning. In the evaluation of the first-order single-inductor and second-order LC filters, it is found that the second-order CM filter is prone to differential-mode to common-mode (DM-to-CM) conversion, especially at the resonant frequency caused by the leakage inductance of the CM choke and the equivalent DM capacitance of the line-to-ground capacitors. Therefore, an additional DM inductor is necessary to curb the mode conversion, which may not necessarily result in final size reduction as compared to that of first-order single-inductor filter.
Diphenylalanine Nanotube Coated Fiber Bragg Grating for Methanol Vapor Detection

Etched fiber Bragg grating (EFBG) was coated with diphenilalanine nanotubes (DNT) to produce sensors capable of detecting methanol in methanol-ethanol blend vapors. The DNT was studied in two phases, hexagonal and orthorhombic, which were observed by Raman spectroscopy and scanning electron microscopy (SEM). The temperature transition between the phases was determined through small angle x-ray scattering (SAXS). Considering the methanol concentration in the vapor, the orthorhombic phase showed a sensitivity of −7.3 ± 0.8pm / (%v/v), which was 33 times greater than that observed for the hexagonal phase, with approximately the same response time. The maximum wavelength shift measured was −0.98 ± 0.02nm. Additionally, we proposed a mathematical model to describe the sensor’s response, and we hypothesized the mechanisms that could lead to its nonlinear behavior.
Highly Efficient 2.4 and 5.8 GHz Dual-Band Rectenna for Energy Harvesting Applications

In this letter, highly efficient dual-band rectenna at 2.4 and 5.8 GHz for energy harvesting is presented. A new sickle-shaped antenna is designed to operate at both frequencies. Rectenna shows the maximum RF–DC conversion efficiency of 63% and 54.8% at 2.4 and 5.8 GHz, respectively. The impact of matching network and output filter on RF–DC conversion efficiency at both frequencies is analyzed. The output dc voltage of 3 and 2.6 V is measured for 2.4 and 5.8 GHz correspondingly at a 600 Ω load resistance. The rectenna can be utilized for various low-power applications.
Rehabilitation of mental illness and chronic pain – the impact on sick leave and health

This paper exploits a government initiative to analyze the effect of cognitive behavioral therapy (CBT) for individuals with mild or moderate mental illness and multidisciplinary treatment (MDT) for individuals with pain in back and shoulders. We employ a propensity score matching approach to study the effects on sick leave, health care consumption and drug prescriptions. We find that CBT improved health and prevented sick leave for individuals who were not on sick leave when treatment was initiated but had no effect for individuals who were on sick leave when the treatment was initiated. MDT was a failure regardless of the individual’s sick leave status at the time of treatment. MDT increased sick leave while having no long term impact on either health care visits or drug prescriptions.
Motion Pattern of the Healthy Yoga Practitioner – Kinetics and Kinematics of the Lower Extremity During Three Yoga Postures and Comparison to Three Activitiesm of Daily Living

The purpose of this study was to establish a motion pattern by characterizing the kinetics and kinematics associated with the hip, knee and ankle joint of a group of healthy yoga teachers when performing three yoga postures and comparing them to three activities of daily living (ADL). A group of experienced female yoga practitioners (n = 13), with a minimum of 5 years teaching experience, between the ages of 20 to 45, performed the Lunge, Warrior II, and Triangle poses starting from Downward Dog. The kinetic and kinematic data of the yoga practitioners was collected when performing yoga postures. The step length, joint angles, range of motion (ROM), joint moments, and angular impulse in sagittal and frontal plane were studied for the hip, knee and ankle during performance. The data were averaged, descriptive statistics of the measures were obtained, and results for each posture as well as for the average yoga practice were presented in tables and figures with standard deviation. The percentages of change and effect sizes were calculated to compare yoga movements to ADL. The stride lengths were similar in the Lunge (1.98m), Warrior II (1.51m), and Triangle (1.43m). The motion patterns of the Lunge and the Warrior II poses follow similar joint angle and joint moment, and angular impulse patterns, whereas the Triangle pose creates distinctly different patterns in most joints and planes. In the Lunge and Warrior II poses, the knee joint reaches a maximal flexion angle of 73.76° and 67.69° respectively, 18% to 32% less than what is classically instructed in a yoga class. The knee reached 9.5° of extension while in Triangle pose. The hip contributed 50-70% of the angular impulse in the lower limb in all three yoga movements. When comparing to ADL, ROM was only greater in the hip in of sagittal plane motion and in the knee if frontal plane motion, and most of the joint moments of the lower extremity were notably smaller
A 3-MHz 17.3- $\mu$ W 0.015% Period Jitter Relaxation Oscillator With Energy Efficient Swing Boosting

This brief presents a low-power RC relaxation oscillator with low period jitter for sensor interface applications. A switched capacitor RC network is proposed to boost the timing capacitor voltage swing with high energy efficiency, so that the output jitter can be effectively reduced. An inverter-based comparator with replica bias is used for switching threshold tracking under the supply variation. Implemented in a standard 65nm CMOS process, the proposed oscillator achieved 3.0 MHz output frequency with 0.015% relative period jitter and consumed 17.3- $\mu \text{W}$ power under 1 V supply voltage. The frequency variation is ±0.15% over a supply range of 0.95 V to 1.45 V and ±0.6% for temperature across 0°C to 90°C, respectively. The circuit achieved a Figure of Merit (FOM) of 161 dBc/Hz and the total energy efficiency is 5.7 pJ/cycle.
Examining regional mobility patterns of public transit and automobile users based on the smart card and mobile Internet data: a case study of Chengdu, China

Understanding human travel patterns with relation to land uses and other land characteristics is a crucial topic in urban studies and offers guidance to better design, plan and manage diverse transportation systems and infrastructures. However, previous studies on such patterns still have some limitations. First, current studies mainly focus on mobility pattern analysis on stop and route levels. Rare studies have investigated user mobility on region levels to exhibit a macroscopic perspective on human activities. Second, the works usually examine one specific transportation mode and fail to compare regional mobility among multiple modes. This study proposes a comprehensive methodology framework to uncover regional travel patterns and regularities. Regional travel patterns are analysed using the non-negative matrix factorisation method. The travel regularity is examined using the Lempel–Ziv algorithm. A case study of Chengdu, China, is conducted to validate the proposed framework. Results can support several applications that are beneficial for urban transportation planning.
The Experimental Humanoid Robot E2-DR: A Design for Inspection and Disaster Response in Industrial Environments

Against the backdrop of a rising number of disasters in industrial facilities due to a lack of maintenance, robots are expected to increasingly undertake dangerous, dirty, and laborious tasks conventionally performed by humans, such as daily maintenance and inspection of industrial plants. It is much safer to use robots to gather information and conduct first response, but, with the installation of new equipment over time, the narrow premises of industrial infrastructure become obstructed with equipment. Robots navigating these spaces must achieve mobility utilizing narrow pathways, steep stairs, vertical ladders, and gaps while also fulfilling manipulation tasks like opening doors and valves.