bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of carotid-femoral pulse wave velocity from finger photoplethysmography signal
Authors: Gentilin Alessandro , Tarperi Cantor , Cevese Antonio , Mattioli Anna Vittoria , Schena Federico 
Published: July 2022

Abstract

Objective. This project compared a new method to estimate the carotid-femoral pulse wave velocity (cf-PWV) to the gold-standard cf-PWV technique. Approach. The cf-PWV was estimated from the pulse transit time (FPS-PTT) calculated by processing the finger photoplethysmographic signal of Finapres (FPS) and subject’s height only (brief mode) as well as along with other variables (age, heart rate, arterial pressure, weight; complete mode). Doppler ultrasound cf-PWVs and FPS-PTTs were measured in 90 participants equally divided into 3 groups (18–30; 31–59; 60–79 years). Predictions were performed using multiple linear regressions (MLR) and with the best regression model identified by using MATLAB Regression Learner App. A validation set approach (60 training datasets, 30 testing datasets; VSA) and leave-one-out cross-validation (LOOCV) were used. Main results. With MLR, the discrepancies were: 0.01 ± 1.21 m s−1 (VSA) and 0.001 ± 1.11 m s−1 (LOOCV) in brief mode; −0.02 ± 0.83 m s−1 (VSA) and 0.001 ± 0.84 m s−1 (LOOCV) in complete mode. Using a linear support vector machine model (SVM) in brief mode, the discrepancies were: 0.01 ± 1.19 m s−1 (VSA) and −0.01 ± 1.06 m s−1 (LOOCV). Using an Exponential Gaussian process regression model (GPR) in complete mode, the discrepancies were: −0.03 ± 0.79 m s−1 (VSA) and 0.01 ± 0.75 m s−1 (LOOCV). Significance. The cf-PWV can be estimated by processing the FPS-PTT and subjects’ height only, but the inclusion of other variables improves the prediction performance. Predictions through MLR qualify as acceptable in both brief and complete modes. Predictions via linear SVM in brief mode improve but still qualify as acceptable. Interestingly, predictions through Exponential GPR in complete mode improve and qualify as excellent.
Two types of helical-core equilibrium states in tokamak plasmas
Authors: Kawagoe S , Ishizawa A , Aiba N , Nakamura Y 
Published: July 2022

Abstract
Helical distortion in the core region and its formation mechanism in weakly reversed magnetic shear tokamak plasmas are investigated using three-dimensional magnetohydrodynamic (MHD) equilibrium calculations and MHD stability analysis. It is found that there are two different types of helical equilibrium states: one is a rigid-body shift in the core region on a poloidal cross-section, while the other is a local advection only around the magnetic axis. Linear stability analysis of the corresponding axisymmetric equilibrium is carried to understand the origin of these two types of helical equilibrium states. The analysis shows that the former is related to the current-driven internal-kink instability, while the latter is linked to the pressure-driven quasi-interchange instability. The kink-mode-driven helical equilibrium state appears when the minimum value of the safety factor

q

m
i
n

is close to unity, while the quasi-interchange-driven helical equilibrium state appears when

q

m
i
n

is below unity. The appearance of the quasi-interchange state is attributed to the weak magnetic shear at the inner

q
=
1

rational surface and finite β.
Normalizing flows for likelihood-free inference with fusion simulations
Authors: Furia C S , Churchill R M 
Published: July 2022

AbstractFluid-based scrape-off layer transport codes, such as UEDGE, are heavily utilized in tokamak analysis and design, but typically require user-specified anomalous transport coefficients to match experiments. Determining the uniqueness of these parameters and the uncertainties in them to match experiments can provide valuable insights to fusion scientists. We leverage recent work in the area of likelihood-free inference (‘simulation-based inference’) to train a neural network, which enables accurate statistical inference of the anomalous transport coefficients given experimental plasma profile input. UEDGE is treated as a black-box simulator and runs multiple times with anomalous transport coefficients sampled from priors, and the neural network is trained on these simulations to emulate the posterior. The neural network is trained as a normalizing flow model for density estimation, allowing it to accurately represent complicated, high-dimensional distribution functions. With a fixed simulation budget, we compare a single-round procedure to a multi-round approach that guides the training simulations toward a specific target observation. We discuss the future possibilities for use of amortized models, which train on a wide range of simulations and enable fast statistical inference for results during experiments.
The influence of water and ethanol adsorption on the optical blinking in InGaN quantum wells
Authors: Yoshida Shunra , Fujii Yusuke , Alfieri Giovanni , Micheletto Ruggero 
Published: July 2022

Abstract
We studied the adsorption of liquids over the surface of InGaN quantum well based wide band-gap devices and found that the immersion in certain liquids has noticeable effects on the optical blinking phenomena. We used two samples with different indium concentrations, emitting on the green and blue range, and immersed them while under direct illumination with 365 nm ultraviolet light. We found that especially water and ethanol provoked evident optical variations compared to observation in air. While blinking spots can be observed irrespective of the In concentration, their contrast and luminosity increased for samples with the emission in the 510 nm range, rather than for those in the 460 nm. Based on these results, we put forward the hypothesis that the presence of liquids induces the formation of radiative centers, possibly complexes related to intrinsic defects binding with adsorbed impurities, such hydrogen or oxygen.
Stacked ferroelectric heterojunction tunnel field effect transistor on a buried oxide substrate for enhanced electrical performance
*
Authors: Gopal Girdhar , Garg Heerak , Agrawal Harshit , Varma Tarun 
Published: July 2022

Abstract
The device behavior of a stacked ferroelectric heterojunction tunnel field effect transistor (Fe-HTFET) on a buried oxide substrate is investigated in this paper. Si-doped HfO2 was taken as the ferroelectric material over an oxide layer (gate dielectric) in a stacked gate configuration. A higher drive current and reduced subthreshold swing (SS) may be achieved using Si-doped HfO2 that amplifies the gate bias. The effect of various electrical parameters has been investigated by changing the geometric dimensions of the proposed device. The dimensional parameters have been optimized after extensive simulations. The proposed Fe-HTFET simulations and results show that this structure boosts performance significantly and could be considered a good candidate for ultra-low-power applications. To investigate the performance of the proposed Fe-HTFET, two-dimensional simulations have been done using the Sentaurus technology computer-aided design tool.
A defect detection method for topological phononic materials based on few-shot learning
Authors: Zhang Beini , Luo Xiao , Lyu Yetao , Wu Xiaoxiao , Wen Weijia 
Published: July 2022

Abstract
Topological phononic materials have been widely used in many fields, such as topological antennas, asymmetric waveguides, and noise insulation. However, due to the limitations of the manufacturing process, topological protection is vulnerable to some severe defects that may affect the application effect. Therefore, the quality inspection of topological materials is essential to ensure reliable results. Due to the low contrast and irregularity of defects and the similarity of topological phononics, they are difficult to recognize by traditional image processing algorithms, so manual detection is still mainstream at present. But manual detection requires experienced inspectors, which is expensive and time-consuming. In addition, topological materials are expensive to produce, and there is no large publicly available dataset, but deep learning usually relies on large datasets for training. To solve the above problems, we propose an automatic deep learning topology structure defect detection method (ADLTSDM) in this work, which could classify not only the structure of topological materials but also detect the defects of topological phononics based on a small dataset. ADLTSDM exploits the prior knowledge of the topological material structure and achieves an augmentation factor of more than 100 times through the random and fixed interval screenshot algorithm, thus enabling the training of deep neural networks with only two raw data. For defect detection, ADLTSDM has an accuracy of more than 97% and improves detection speed by more than 38% compared with manual detection. For structure classification, ADLTSDM can achieve an accuracy of over 99% and seven times faster speed compared with manual classification. Besides, the detection standard of ADLTSDM is unified, so the accuracy will not be affected by the experience of the inspectors, which has more potential in high-throughput industrial applications.
The Cartesian analytical solutions for the N-dimensional compressible Navier–Stokes equations with density-dependent viscosity
Authors: Fan EnGui , Qiao Zhijun , Yuen ManWai 
Published: July 2022

Abstract
In this paper, we prove the existence of general Cartesian vector solutions
u
=
b
(t) + A(t)
x
for the N-dimensional compressible Navier–Stokes equations with density-dependent viscosity, based on the matrix and curve integration theory. Two exact solutions are obtained by solving the reduced systems.
An Integrated MPPT And Inverter 12 VDC to 220 VAC with Current Limiter for Grid Connected Solar Cell System
Authors: Mairizwan M , Anshari Rio , Dewi Wahyuni Satria 
Published: July 2022

Abstract
Research on the integration of current limiters in solar power plants connected to the electricity network with an on grid system. This study aims to regulate the flow capacity of the solar cell source to the load of electronic devices / needs of a house and connect to the national electricity network. The main features of the current limiting integration are: First, it avoids damage caused by excess current flowing; second, cut off in the national electricity network will not affect the flow of power to electronic devices; third, the characteristics of the components and the circuit configuration can be made simpler, which can improve the efficiency of the solar cell generation system. Built-in devices can be controlled simultaneously with easier synchronization. The performance of the developed system produces the power supply needed by electronic devices during the day / when there is sunlight that can continue to be supplied even though there is a power outage from the national electricity source. Thus, the results of simulations and experiments carried out with a prototype system in the laboratory are in accordance with the theoretical analysis.
Perturbations For Coaching Implications: A Preliminary Study on Swinging Arm Coordination Instrument During Tennis Forehand Stroke
Authors: Syahputra Risky , Bakhtiar Syahrial , Rizal Wan , Sujae Ian Harris , Ong Alex 
Published: July 2022

Abstract
The purpose of this study was to describe swinging limb joint co-ordination while executing the tennis forehand stroke and to establish the effects of a perturbation on joint co-ordination between players of different skills levels to determine if the intended perturbations are required during training. A total 25 forehand stroke performed by 1 novice and 1 skilled tennis players respectively were captured using a 16-camera high-speed optical camera system at 250hz. Swingling limb joint co-ordination differs between players possibly due to differences in swinging kinematics. When subjected to perturbations, it took a longer time for the novice player to return to normal swinging patterns. Even with perturbations, the skilled player adapted their swinging limb co-ordination to ensure optimal performance outcomes. This strategy is key for coaching implications where including perturbations during training will provide players with the know how to re-adjust their swinging patterns most quickly when performing the next forehand stroke.
Power setting based on load using phase control on conveyor system
Authors: Fitriani Ledyana , Tarigan Kerista , Humaidi Syahrul 
Published: July 2022

Abstract
The advantage of using conveyors that have been successfully designed through this research is in the power settings based on the load’s condition on the conveyor in which we hope that the system performance would be better in terms of electrical power usage. The conveyor’s speed control system used the PWM (Pulse Width Modulation) method, a pulse width setting to supply current for the engine. Inputs come from a Load cell censor that measures the weight together with the motor’s activator. Microcontroller ATMega328 is used as a controller of the system. When the system is activated, the controller will activate the motor activator with the PWM signal based on the load weight The Microcontroller then identifies the load weight and determines the PWM count to set the corresponding power and speed. Through the optocoupler, Microcontroller provides the pulse to control the gate on the TRIAC (Triode for Alternation Current), which acts as a phase controller connected to the induction motor to power the conveyor. The result of this research shows that the heavier the load is, the generated power will correspondingly be higher.
Land Movement Vulnerability in South Padang District Using Geospatial Information System (GIS)
Authors: Maiyudi Riko , Anaperta Yoszi Mingsi , Octova Adree , Awindya Azura 
Published: July 2022

Abstract
Based on data from the Center for Volcanology and Geological Hazard Mitigation in April 2021, South Padang District has the potential for high land movement vulnerability. This is due to the high intensity of rainfall, geological conditions and the area is generally a hilly area. The location of South Padang, especially the Gado-Gado Hill area, is a residential area and a tourist attraction. Therefore, it is necessary to know the potential for land movement vulnerability in the South Padang District to minimize the occurrence of landslides which can result in material and no material losses. Research on land movement vulnerability in South Padang District uses Geospatial Information System (GIS) software with parameters such as rainfall data, earthquakes, land slope, vegetation, soil type, water slope, and rock geology. From this research, the results will be obtained in the form of rainfall maps, earthquake maps, slope maps, vegetation maps, soil maps, slope water maps, geological maps and vulnerability maps in South Padang District. From the results of processing the vulnerability map, the area with low vulnerability is 390.99 ha, middle vulnerability is 528.08 ha and high vulnerability is 274.78 ha.
Optimization of Object Injection Current in the Development of Electrical Impedance Tomography for Bone Fracture Detection
Authors: Kamus Zulhendri , Nofrianto Aldo , Satwika Yokanan Wigar , Ekawati Estiyanti , Kurniadi Deddy 
Published: July 2022

Abstract
Electrical Impedance Tomography (EIT) nearly has all the parameters of the ideal of a modality tomography. There is one parameter that makes the EIT modality not yet ideal. It is the low spatial resolution of the image. Unfortunately, it is limited in the range of 5 percent to 10 percent of the object diameter. The causal factor is the limited number of measurement data obtained. The focus of research on EIT at now is the development of functional applications. The novel application developed in this research is to detect bone fractures, mainly due to sports injuries. The hardware characteristics are certainly different from other applications. Optimization of the injection current to match the most resistive characteristics of bone compared to all human body tissues has been carried out. The image of bone is reconstructed using the adjacent method of data collection and the Newton-Raphson iterative algorithm with Tikhonov regularization. The optimization results are seen from the high quality and contrast of the reconstructed image for various injection current values. The current injection frequency is selected at 10 kHz. In the results of this research, the injection current that can produce the highest quality and contrast is 0.3 mA.
Digital experimental system of connecting wheel motion with remote laboratory based on website
Authors: Asrizal  , Lorenza Vina , Yohandri  
Published: July 2022

Abstract
The motion of the connecting wheels is an interesting phenomenon in physics because it is found in everyday life. This connecting wheel motion experiment should be carried out in physics learning. However, this experiment was rarely carried out due to the unavailability of equipment and the covid-19 pandemic. The solution to the problem is to design a connecting wheel motion experiment system with remote laboratory based on website. Remote laboratory is software to support experimental activities through long distance. The objective of this research was to investigate the accuracy and reliability of stepper motor speed controller and a connecting wheel motion experimental system with remote laboratory. This research can be classified into engineering research. From the results of data analysis can be stated the three results of this research. First, the performance specification of the associated connecting wheel motion tool consist of a length of 54 cm, a width of 43 cm, and a height of 21 cm. Second, the average value of accuracy and of stepper motor speed controller are 99.33% and 99.08%, respectively. Third, the accuracy value for linear velocity is 99.16% for angular velocity is 99.68%. These accurate values can be classified into high category.
Development of Online Learning Tools for Elasticity Materials Using the 7E Learning Model in Class XI Senior High School
Authors: Nasbey Hadi , Serevina Vina , Rokhimah Maulida , Purwani Bety 
Published: July 2022

Abstract
The COVID-19 pandemic has an impact on the education sector. Educators must ensure learning activities continue. The solution is that educators must design learning devices with innovative learning models. The 7E learning model consists of 7 stages, namely: elicitation, engagement, exploration, explanation, elaboration, evaluation, and extension. This study aims to produce independent learning tools for online learning to support distance learning programs. This type of research is Research and Development and was developed using the ADDIE model which consists of five stages, namely: (1) Analysis, (2) Design, (3) Development. (4) Implementation, and (5) Evaluation. The results of the research are in the form of independent learning lesson plans with online interactive learning using the 7E learning model. This product has been validated and is suitable for use as an alternative media for learning physics in schools with the validation results of 81.6 from material experts, media experts give an average score of 87.1% and learning experts give an average score of 86.7 %.
The Development of an Interactive Learning Module in The Topic of Transistor and Its Usability among Physics Trainee Teachers
Authors: Adnan Siti Nadia , Omar Al-Zuhairi , Mohtar Lilia Ellany 
Published: July 2022

Abstract
The paper demonstrates the development of an interactive learning module in the topic of transistor and its usability among physics trainee teachers at one of the public universities in Malaysia. The research design was a developmental research using the ADDIE module and the developed module portrayed a high percentage value of expert agreement of 89.57% for face validity and 91.67% for content validity. The sample was 40 Physics trainee teachers from six-eight semesters. The instrument was a questionnaire, which was adapted from a standardized instrument to obtain the level of its usability. The findings portrayed that the module was useful (mean = 3.90 and standard deviation = 0.19), easy to use (mean = 3.91 and standard deviation = 0.17) and the respondents were satisfied with it (mean = 3.93 and standard deviation = 0.18). In conclusion, the interactive learning module can be used as a teaching aid for teaching the topic of transistor. In the educational implication, students can utilize the interactive learning module to explore and build knowledge simultaneously as it encourages active students’ involvement in line with the constructivist learning theory.
The Effectiveness of Using Quizizz in Fundamental Physics Learning in the Era of the Covid-19 Pandemic
Authors: Henukh Anderias , Made Astra I , Supriyadi  , Reski Andi , Hidayatullah Muhammad Musa Syarif 
Published: July 2022

AbstractThis study describes the effectiveness of using Quizizz in fundamental physics online learning activities regarding learning outcomes and student responses. The research was conducted at Musamus University in the odd semester 2020/2021 academic year. This type of research used a mixed method. The subjects in this study were 59 students who took fundamental physics courses. The instruments used in this study were multiple-choice questions, student response questionnaires, and interview guide sheets. This study indicates that the percentage of students’ complete learning outcomes in fundamental physics courses is 79,24%. In addition, 14.3% of students said they strongly agree that Quizizz is effective in learning, and 85.7% say that they agree. The learning outcomes obtained are also supported by interviews, which state that students are pleased and motivated in participating in fundamental physics learning. Because learning basic physics using Quizizz makes them feel that learning is exciting and increases their interest in listening to basic physics learning materials. Thus, it can be concluded that the use of Quizizz in learning Basic Physics in the era of the Covid-19 pandemic has very high effectiveness.
The importance of e-books in improving students’ skills in physics learning in the 21st century: a literature review
Authors: Sari Silvi Yulia , Rahim Fanny Rahmatina , Sundari Putri Dwi , Aulia Fauzan 
Published: July 2022

AbstractAlong with the development of technology, the education system began to change from face-to-face learning to blended learning. Blended learning uses a combination of print and digital learning media. Most digital learning resources are e-books that replace the function of printed books and the role of the teacher in the classroom. The focus of research in this paper is how e-books can improve student skills in the 21st century. There has been a number of researches related to e-books and their use in high schools. In-depth literature study is needed to get a conclusion on how e-books affect students’ skills, especially after studying Physics. This research provides invaluable insight into how educators were maximizing the use of e-books so as to improve student learning outcomes which in turn impact 21st century skills. These studies describe a lot of data which enables other researchers to understand how teachers use and wish to use e-books. The analysis of these empirical results is used as the basis for developing e-books that have effective content and features that are relevant to e-book literacy.