Miracle-dz/UniFAR-FTUs huggingface dataset:
Content Validity of Circuit Training Program and Its Effects on The Aerobic Endurance of Wheelchair Tennis Athletes

Background: “Exercise is an activity to improve technical and physical competence of athletes”, most sports require an excellent physical aspect to win. Aerobic endurance is an essential point in the preparation of a wheelchair tennis training program. Aim: This research is to validate the circuit training program and test the exercise program on the aerobic endurance of wheelchair tennis athletes. Method: This research is development research with qualitative and quantitative approaches. Participants are wheelchair tennis athletes with ten males and four females, height 156-167± cm, weight 50-70± kg, age 31-35. Participants in the program validation were seven nationally licensed physical fitness trainers. The first stage qualitatively examines documents in articles, ebooks, textbooks to design the program. The second stage quantitatively applies the Delphi technique to assess the prepared training program. The third stage analyzes the assessment results with the content validity ratio formula and, the fourth stage tests the exercise program for six weeks. The instrument used is a multistage fitness test. Results: It has been found that the assessment items from seven experts show the content validity ratio value is 1.00, so it can be categorized as having good content validity. It has been found the mean posttest (N=14, M=249.14, SD=16.033) and posttest (N=14, M=241.71, SD=17.166). It has been found that hypothesis testing using paired samples t-test analysis (p=0.000<0.05). Conclusion: the circuit training exercise program has good validity, then based on the effectiveness test, there is an increase in the aerobic endurance of wheelchair tennis athletes.
Role of Nurses in the Management of Common Gynecological Diseases: Recent Advances

In recent years the role of the specialist nurse with respect to gynecology and women’s health has gained significant importance. The advancement in the nursing practice has provided an insight to interact with patients to explore their history. Such hysteroscopy procedures may not only give a better feel to the patient but also explore the need for doctor treatment. The review updates about the ongoing advances in the field of nursing science to upgrade the life of patients with gynecological diseases. Evidence has suggested the promising role of nurses to motivate patients with improved health after the treatment. The present review will cover the various health issues of women including menstrual dysfunction, fertility, and management of pregnancy’s termination, uro-gynecological issues, and gyne-oncology, etc. The role of nurses during the above health issue will be discussed via various procedures. Therefore, the present review will conclude the significant importance of nurses in women’s health issues to sustain happiness and to strengthen the need to bring advances in the curriculum of nurses to full fill the requirement of medical staff.
High Precision Four Quadrant Converter with GaN Technology

New proton therapy facilities for the cure of tumors as well as high energy photon sources are currently being installed all around the world. In this field the request for special power supplies for corrector, scanning and quadrupole magnets are increasing. For these applications, mandatory requirements are high bandwidth and current stability as well as low output ripple which are conflicting constraints. A feasibility study, prototype development, measurements, and investigations on the control methodology of a wide bandgap GaN semiconductor-based power module is presented in the paper. The developed power module features the following characteristics: Eurocard standard PCB, bi-polar 4Q operation, minimum switching frequency 100 kHz, control bandwidth 5 kHz, output voltage and current up to 200 V / 8 A output current ripple < 20 ppm. The enlisted characteristics make it suitable for high inductive loads requiring fast transients (scanning magnets). An RST controller will be developed and a system identification approach to the transfer function of two parallel connected power modules will be presented along with simulations assessing the performance.
Control response measurements of the Skyship-500 airship

An examination is conducted of the Skyship 500's dynamic response to control inputs from elevators, rudders, and throttles at zero, 25, and 40 kts indicated airspeed. Input frequency sweeps were made with pitch and turn controls at 25 and 40 kts, ranging in frequency from about 0.03 to 1.5 Hz. FFT data analysis was then applied to compute describing functions for each run. Frequency responses are noted to be very smooth, and comparisons between repeat runs indicate excellent agreement. Summary plots of the faired describing functions from each run form the core of the data presented. These data constitute a comprehensive and reliable data base on which to predicate future dynamic simulation mathematical models of small airship dynamic response.
A Strong-Form Off-Lattice Boltzmann Method for Irregular Point Clouds

Radial basis function generated finite differences (RBF-FD) represent the latest discretization approach for solving partial differential equations. Their benefits include high geometric flexibility, simple implementation, and opportunity for large-scale parallel computing. Compared to other meshfree methods, typically based upon moving least squares (MLS), the RBF-FD method is able to recover a high order of algebraic accuracy while remaining better conditioned. These features make RBF-FD a promising candidate for kinetic-based fluid simulations such as lattice Boltzmann methods (LB). Pursuant to this approach, we propose a characteristic-based off-lattice Boltzmann method (OLBM) using the strong form of the discrete Boltzmann equation and radial basis function generated finite differences (RBF-FD) for the approximation of spatial derivatives. Decoupling the discretizations of momentum and space enables the use of irregular point cloud, local refinement, and various symmetric velocity sets with higher order isotropy. The accuracy and computational efficiency of the proposed method are studied using the test cases of Taylor–Green vortex flow, lid-driven cavity, and periodic flow over a square array of cylinders. For scattered grids, we find the polyharmonic spline + poly RBF-FD method provides better accuracy compared to MLS. For Cartesian node layouts, the results are the opposite, with MLS offering better accuracy. Altogether, our results suggest that the RBF-FD paradigm can be applied successfully also for kinetic-based fluid simulation with lattice Boltzmann methods.
A New Approach to Finite Element Modeling and Simulation of Flexible Robot Manipulators

Traditional robot manipulators that have large links need powerful actuators and their massive structures strongly limit their operating speed. Flexible manipulators having lightweight links are designed to overcome these disadvantages and in this case their flexibility is an important and unavoidable characteristic. In this paper, a new approach to finite element modeling of flexible manipulators, using Hamiltonian mechanics and simulation of their dynamic behavior is presented. The finite element model includes all non-linear terms, such as dynamic interactions between linkages. A computer program is developed in the MATLAB medium to simulate the effects of flexibility on the robot’s motion quality. Our results indicate the importance of flexibility and existence of considerable errors in the end-effector's positions.
Mechanical and Electronic Properties of DNTF Crystals under Different Pressure

In the present study, the effects of pressure on the structure, elastic properties and electronic structure of DNTF compounds are studied using the first principles method. It is found that pressure has a great influence on lattice constants. When the pressure reaches 80 GPa, the structure of DNTF changes suddenly. The variation trend of C11, C22 and C33 values is consistent with that of pressure. In addition, pressure can improve the compressibility and shear resistance of the DNTF compound. The pressure can reduce the bandgap and further increases the charge density, causing DNTF to decompose and explode.
Decision tree based transient stability method a case study

The decision tree transient stability method is revisited via a case study carried out on the French EHV power system. In short, the method consists of building offline decision trees, able to subsequently assess the system transient behavior in terms of precontingency parameters (or "attributes") of it, likely to drive the stability phenomena. This case study aims at investigating practical feasibility aspects and features of the trees, at enhancing their reliability to the extent possible, and at generalizing them. Feasibility aspects encompass database generation, candidate attributes, stability classes; tree features concern in particular complexity in terms of their size and interpretability capabilities, robustness with respect to both their building and use. Reliability is enhanced by defining and exploiting pragmatic quality measures. Generalization concerns multicontingency, instead of single-contingency trees. The results obtained show real promise for the method to meet practical needs of electric power utilities. >
Lead Removal from Contaminated Water by Corn and Palm Nut Husks

This study evaluates the efficacy of using two local, cheap, and abundant waste materials such as charred husks from corn and palm nut for the remediation of lead contaminated water.The study was conductedfor the development of a very cheap, natural, easy to prepare, and effectivetechnology for the rural natives to remove lead contaminant from water as there was a concern that the dust and soil lead contamination that killed over 500 people in Nigeria coul d contaminate the water resources.Charred husks from corn
Silver Nanoparticles under Nanosecond Pulsed Laser Excitation as an Intensity Sensitive Saturable Absorption to Reverse Saturable Absorption Switching Material

Optical nonlinearity involved switching draws an important consideration in nonlinear optical studies. Based on that, we explored nonlinear absorption processes in silver nanoparticles synthesized by liquid phase laser ablation technique employing a second harmonic wavelength (532 nm) of Q switched Nd:YAG laser pulses with 7 ns pulse width and 10 Hz repetition rates. The typical surface plasmon resonance induced absorption (~418 nm) confirmed the formation of Ag NPs. The Z-scan technique was used to study the nonlinear optical processes, employing the same laser system used for ablation. Our study reveals that there is an occurrence of a saturable to reverse saturable absorption switching activity in the Ag nanoparticles, which is strongly on-axis input intensity dependent as well. The closed aperture Z-scan analysis revealed the self-defocusing nature of the sample.
Detection of embedded generator islanding condition using elliptical trajectory technique

The number of renewable energy-based generators has continued to grow in recent years. Such generators are usually integrated or embedded into utilities' network at distribution voltage levels and therefore commonly known as embedded generators. This type of operation in essence transforms a distribution network from being a passive to an active network. This in turn has created safety as well as technical problems. In addition to that a generator of this type is usually not under utilities' direct control. Consequently it is very important to ensure that an embedded generator does not effect the quality of the supply to the customers during both normal and abnormal operating conditions. A major concern by industry is the islanding operation condition whereby a generator is disconnected from the associated utility's network, for example due to a fault condition, but left to supply power to a part of the public network. The consequence of this happening could be very serious as far as the safety of personnel is concerned as well as the quality of power supply to the customers in the islanded network. This paper presents the results obtained from an investigation related to the application of elliptical trajectory technique for detecting the islanding condition described above. The proposed technique was tested on a simulated distribution system with an embedded generator and a criteria for detecting islanding condition has been identified.
Multi-Feature Fusion Multi-Step State Prediction of Nuclear Power Sensor Based on LSTM

Aiming at the problem in the prediction of nuclear power working condition parameter, this paper uses a large number of time series collected by the nuclear power plant sensor detection system to propose a multi-feature fusion multi-step state prediction model based on long short-term memory network (LSTM). This paper takes the SG1 steam pressure sensor data collected by the real-time parameter system of nuclear power plants as the research object. Firstly, the data is preprocessed for the problems of missing data and inconsistent sampling time scales, and then the structural design and modeling of the multi-feature fusion multi-step state prediction model is completed based on LSTM. Finally, the prediction model proposed in this paper is compared with the multi-step prediction models such as Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Model-S1 layer and univariate LSTM. Experimental results show that the fitting performance and prediction performance of the prediction model proposed in this paper are with overall optimization, and it also verifies the applicability of the deep learning method based on the LSTM model in the field of nuclear power plant operation safety assurance.
Collective Reasons and Agent-Relativity

Abstract Could it be true that even though we as a group ought to do something, you as an individual ought not to do your part? And under what conditions, in particular, could this happen? In this article, I discuss how a certain kind of case, introduced by David Copp, illustrates the possibility that you ought not to do your part even when you would be playing a crucial causal role in the group action. This is because you may have special agent-relative reasons against participating that are not shared by the group as a whole. I defend the claim that these are indeed cases in which you ought not to do your part in what the group ought to do. I then argue that we can expect these cases to produce a troubling kind of rational conflict.
Migrenli Bireylerin Klinik Özellikleri ve Fiziksel Aktivite İlişkisi

Objective: To determine the clinical characteristics of individuals with migraine and to determine the relationship between these characteristics and physical activity. Methods: In the study, 310 individuals with migraine were included. Pain characteristic and clinical symptoms of migraine were questioned. Physical activity levels, migraine-related disability status and quality of life were evaluated with International Physical Activity Questionnaire, Migraine Disability Assessment Scale and Headache Impact Test, respectively. Results: The average pain intensity, number and duration of attacks of individuals during the last month was found as 8 (4-10), 4 (1-30) and 120 (50-4320) minutes, respectively. It was detected that 89.7% (n=278) of individuals experienced aura. It was determined mostly photophobia (91.3%; n=283) and phonophobia (95.2%; n=295) complaints individuals during the attack. The Migraine Disability Assessment Scale and Headache Impact Test scores were 24.0 (1.0-180.0) and 66.0 (38.0-78.0), respectively. There were no relationship between physical activity level and pain intensity (rho=-0.022; p=0.730), number of attacks (rho=0.070; p=0.221) and duration (rho=-0.057; p=0.318), migraine-related disability (rho=0.005; p=0.932) and quality of life (rho=-0.021; p=0.714). Conclusion: It was found that the individuals experienced severe pain intensity and aura, the most severe migraine-related disability, and the most severe impact on quality of life during migraine attacks. It was found that the vast majority of individuals were not physically active. However, it was not observe a relationship between physical activity level and pain characteristic, disability and quality of life.
Microbiological Quality and Shelf Life Studies of Ready to Eat (RTE) Halal Burgers Sold at Street Stalls Around Kuantan City, Pahang

This study aimed to evaluate RTE halal burgers' microbiological quality and determine their shelf life. A total of 68 samples were randomly purchased from street stalls around Kuantan city as convenience selected samples and examined for Total Plate Count (TPC), presumptive S. aureus count and presumptive E. coli count. For the shelf-life study, 14 samples were purchased at one time from one street stall and the analyses of TPC and presumptive S. aureus count were performed at seven intervals of holding times. The results showed that all samples have low to medium risks with TPC <3.0x103 cfu/g and presumptive S. aureus count range between 0.1x102 – 3.3 x103 cfu/g. In addition, Presumptive E. coli were not detected in all samples. Therefore, halal RTE street burgers have low to medium risks even though they were left at ambient temperature up to 24 hours of shelf life.
PENGARUH KOMITE AUDIT,KEPEMILIKAN INSTITUSIONAL DAN TANGGUNG JAWAB SOSIAL PERUSAHAAN TERHADAP KINERJA KEUANGAN

Penelitian ini bertujuan untuk mengetahui apakah komite audit, kepemilikan institusional dan tanggung jawab social perusahaan berpengaruh terhadap kinerja keuangan. Jumlah sampel yang dapat digunakan dalam penelitian ini sejumlah 8 perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia dengan total pengamatan selama 4 tahun menghasilkan total 32 data perusahaan yang diambil dengan menggunakan metode purposive sampling. Faktor – faktor tersebut kemudian diuji dengan menggunakan regresi pada tingkat signifikansi 5 persen. Hasil penelitian mengidentifikasi bahwa komite audit berpengaruh terhadap kinerja keuangan, kepemilikan institusional tidak berpengaruh terhadap kinerja keuangan, dan tanggung jawab social berpengaruh negatif terhadap kinerja keuangan pada perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia periode 2016 – 2019.
Sommerfeld Pole or Brewster Zero?: Zenneck wave or surface plasmon?

The surface waves that may exist at a planar interface between a lossless dielectric and a conventional or plasmonic medium are investigated. It is shown that these surface waves are pole waves associated with the pole of the Fresnel reflection coefficient looking into the structure. Furthermore, it is shown that Zenneck waves and surface plasmon-polaritons (SPPs) are two manifestations of a pole wave corresponding to different media, and as such are closely related. It is also shown that both surface waves may be set up by illuminating the structure with an inhomogeneous plane wave incident at the complex Brewster angle. The case of a graphene sheet at the interface is also considered and it is shown that this structure supports a highly attenuated SPP. The theoretical development is illustrated and supported by representative numerical results.
Exploiting Chirp Rate Estimation Methods to Improve Image Formation Quality of Synthetic Aperture Radar

A common assumption in SAR image formation and processing algorithms is that the chirp rates of the transmitted and received radar signals are exactly the same. Dechirp processing is also done based on this common assumption. In real scenarios, the chirp rate of the received signal is different from that of the transmitted signal due to several reasons. In case the difference between the chirp rates of the transmitted and received signals is obvious, the demodulation and compression of the received pulse are not carried out precisely and defocusing the targets and the output images of the SAR processor results. In the present paper, a new technique is proposed to improve the image formation quality of SAR by exploiting chirp rate estimation methods. Based on the proposed technique, the chirp rate of the received signal is estimated, and then, dechirp is carried out by using a time-reversed complex conjugate filter constructed based on the estimated chirp rate. In this stage, the existing chirp rate estimation algorithms can be used. The quality of the output image is assessed using PSLR as a quantitative criterion and the average number of point target extension pixels along the azimuth direction. Simulation results indicated that the smaller the average number of point target extension pixels along with azimuth and the higher the PSLR average is, the better the output image quality would be. Therefore, output images obtained from the proposed method by exploiting chirp rate estimation algorithms would have a better quality with a higher PSLR average (14.1 and 13.6) and also the lower average number of point target extension pixels along the azimuth directions (2.1 and 4.9) than the common method with PSLR average (8.3) and an average number of point target extension pixels along the azimuth direction (7.1).
Larval dispersal and fishing pressure influence recruitment in a coral reef fishery

We thank the Kia House of Chiefs, the Kia district spearfishers, Isabel Provincial Government and Solomon Islands Ministry of Fisheries and Marine Resources for supporting and granting permission for this work. We thank W. Dolava, M. Giningele, P. Kame, A. Kokoe, H. Kokoe and M. Vaka for assisting with data collection. Assistance with genetic sequencing was provided by the Bioscience Core Laboratory at the King Abdullah University of Science and Technology (KAUST). We thank Emilie Stump for drawing the graphical abstract used in the online version of this manuscript. We acknowledge financial support from the Australian Research Council (DE160101141) and KAUST (baseline research funds to M.L.B.). This work is dedicated to the memory of the late Chief Leslie Miki.
Semantic key generation based on natural language

In recent years, the public has become more aware of security concerns, and the demand for convenient and efficient encryption technology has increased. Biological data is used in identity authentication and key generation as the innate characteristic information of people. Biological key have the advantage of convenience and fast application without carrying any document; however, they also have the disadvantage of biological characteristic leaks and the inability to change. Based on the advantages and disadvantages of biological key, we propose the concept of semantic key. Language, a medium that fills the lives of people, has similar characteristics of convenience and fast application as biological key; however, semantic key will not reveal biological information. As the amount of semantic information is large, it can be changed at any time. Compared with biological key, it provides better security and flexibility. Therefore, we propose a semantic key generation framework of semantic extraction + feature stabilization + fuzzy extraction that improves the existing semantic extraction model and feature stabilization model and design the semantic key extraction model. In terms of artificial sentence formation, semantic key can be extracted with an accuracy of more than 99%, and an error rate of less than 0.5%.