Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of spin level and ball exit speed on forearm muscle activity in the tennis forehand stroke

Elbow tendinopathy injuries are very common in tennis players. One of the commonly accepted theories describing the development of elbow tendinopathy in tennis is based on stiffness of the forearm skeletal muscle units and their repetitive overuse in the forehand stroke. Our objective was to use a novel microcontroller based wearable device to compare the influence of different forehand spin levels (flat, topspin and lob) and ball exit speed on forearm muscle activity in the potential onset of elbow tendinopathy in experienced adult tennis players. Peak normalised extensor carpi radialis (ECR) and flexor carpi radialis (FCR) muscle activity corresponding to each forehand shot and ball exit speed were determined and analysed. For the ECR shots (flat = 121, topspin = 272 and lob = 273) by 8 players, Kruskal-Wallis test (p < 0.001) and Post-Hoc tests revealed a significant difference between the flat and topspin spin levels (p < 0.01) and flat and lob spin levels (p < 0.001). For the FCR shots (flat = 125, topspin = 301 and lob = 303) by 9 players, Kruskal-Wallis test showed no significant difference between the three spin levels. For the corresponding ball speed, the Kruskal-Wallis (p < 0.001) and subsequent Post-Hoc (p < 0.001) showed that flat hits had the significantly highest ball speed followed by topspin then lob accordingly for both muscles included shots. Our results suggest that coaches could consider recommending players to hit forehands with topspin in order to potentially reduce the risk of developing lateral elbow tendinopathy.
Evaluation of Degradation State of Historic Building Facades through Qualitative and Quantitative Indicators: Case Study in Pelotas, Brazil

ABSTRACT The National Institute of Historical and Artistic Heritage in Brazil holds 88 urban complexes under its protection. Among them, Pelotas, located in southern Brazil, stands out as a protected area; there are numerous historic buildings in the city center. Aiming to preserve historic buildings and considering facades as the elements most exposed to degradation mechanisms, this study proposed the application of qualitative and quantitative indicators—damage map, measurement method of degradation, and element index performance—to assess the degradation state of historically important facades. The research methodology included a survey of the studied objects, followed by application and adaptation of the degradation measurement methods. Stains of mold, fungus, and black crust were found to be the most recurrent pathological manifestations. The appearance of damage was not correlated with solar orientation in any of the methods. Only 8.7% of the facades presented high performance levels, indicating good conservation states.
Antenna selection in nonorthogonal multiple access multiple‐input multiple‐output systems aided by machine learning

This work proposes a transmitter antenna selection (TAS) method for multiple‐input multiple‐out (MIMO) nonorthogonal multiple access (NOMA) that is a promising multiple access technique for the fifth generation mobile communications systems. Specifically, we propose to activate the more suitable subset of base station antennas while allocating users into appropriate NOMA clusters such that the system operates in energy efficiency mode, selecting such appropriate antenna subset indexes that maximize the sum‐rate (SR) of the NOMA‐MIMO system. Once that the TAS based on exhaustive‐search is very complex to be implemented in real communication systems, we propose an effective TAS method based on machine learning while keeping very promising performance. A convolutional neural network‐based transmitter antenna selection (CNN‐TAS) method is proposed for efficiently select antennas aiming at maximizing the system SR. Hence, extensive numerical results demonstrate that the CNN‐TAS can suitably learn the problem, performing with very high accuracy choosing properly the antenna subset that maximizes the system spectral efficiency while reducing substantially the processing time of real‐time operations.
Analysis of nonsuicidal self-injury posts on Twitter: A quantitative and qualitative research

Retrospective study, of mixed approach, with quantitative and qualitative approaches, with the objective of analyzing posts about non-suicidal self-harm on Twitter. The posts were collected through screen capture, transcribed and encoded. Quantitative data were analyzed using descriptive statistics, association tests and multiple logistic regression, with a significance level of 5%. Qualitative data were analyzed using thematic analysis by Braun and Clarke. In the results, female profile tweets and potentially harmful content prevailed. The expression of the suicidal behavior of the author of the post was associated with the encouragement of non-suicidal self-harm and increased chances of sharing and commenting on the posts. Reply posts were more likely to receive likes and comments. Posts encouraging non-suicidal self-harm describe social manifestations of behavior and exposure to non-suicidal self-harm through mass communication. The results bring important discussions about the potential impact of posts on nonsuicidal self-harm and reflection on the discussion of behavior in the digital social context. It is important that mental health actions include tracking risk behaviors on the internet, supporting people in situations of vulnerability, redirecting to support services, as well as strategic actions to promote the conscious and healthy use of social networks.
Sensitivity Analysis for Performance Evaluation of a Real Water Distribution System by a Pressure Driven Analysis Approach and Artificial Intelligence Method

Proper performance of water distribution networks (WDNs) plays a vital role in customer satisfaction. The aim of this study is to conduct a sensitivity analysis to evaluate the behavior of WDNs analyzed by a pressure-driven analysis (PDA) approach and the classification technique by using an appropriate artificial neural network, namely the Group Method of Data Handling (GMDH). For this purpose, this study is divided into four distinct steps. In the first and second steps, a real network has been analyzed by using a Pressure-Driven Analysis approach (PDA) to obtain the pressure, and α coefficient, the percentage of supplied flow. The analysis has been performed by using three different values of the design peak coefficient k*. In the third step, the Group Method of Data Handling (GMDH) has been applied and several binary models have been constructed. The analysis has been carried out by using input data, including the real topology of the network and the base demand necessary to satisfy requests of users in average conditions and by assuming that the demand in each single one-hour time step depends on a peak coefficient. Finally, the results obtained from the PDA hydraulic analysis and those obtained by using them in the GMDH algorithm have been compared and sensitivity analysis has been carried out. The innovation of the study is to demonstrate that the input parameters adopted in the design are correct. The analysis confirms that the GMDH algorithm gives proper results for this case study and the results are stable also when the value of each k*, characteristic of a different time hour step, varies in an admissible technical range. It was confirmed that the results obtained by using the PDA approach, analyzed by using a GMDH-type neural network, can provide higher performance sufficiency in the evaluation of WDNs.
A study on seismic response of buildings on coir mat reinforced sand bed

The present study examines the efficacy of coir mat as a seismic isolation material for reducing the earthquake energy transferred and, so to reduce the dynamic response of the building. A three-dimensional finite element simulation of field-scale models of G+2 and G+3 buildings resting on raft foundation in a sand bed, with and without the seismic isolation mechanism has been carried out by time history analysis with El Centro (1940) input motion. Seismic responses such as roof acceleration, roof deflection, bending moment and shear force of G+2 and G+3 buildings are studied. Variation in the base shear ratio which is defined as the ratio of seismic base shear to the total weight of the building is also analyzed by incorporating the three-dimensional soil-structure interaction effect. The results from the analysis inferred that the reinforcement of the coir mat as a seismic isolation medium limits the transmission of earthquake energy to the superstructure.
Numerical investigation of metasurface narrowband perfect absorber and a plasmonic sensor for a near-infrared wavelength range

Herein, we have presented a computation study of a metasurface (MS) narrowband perfect absorber performed utilizing the three-dimensional finite element method. In the first part of the paper, the periodic sequence of silicon meta-atoms (MAs) is positioned on a ∼100 nm gold thin-film. The gold thin-film obstructs a broadband light at normal incidence, and silicon MAs are utilized to stimulate the surface plasmon by scattering light through it. The highest absorption of 96% is procured at 930.26 nm in the air medium which can be further enhanced by using a layered structure of MAs deposited on gold. The MAs are composed of Si/SiO2/Si with an optimized layers height. Consequently, the perfect impedance matching of the electric and magnetic dipoles takes place providing a 99% of absorption insensitive to the incidence angle of light and almost negligible reflection at a resonating wavelength of 889.4 nm. This feature allows us to utilize this device as a plasmonic sensor. That is why, in the second part of the paper, the proposed device design is studied for the detection of the refractive index of the surrounding medium. The sensitivity and figure of merits of the MS device are in the range of 460–492 nm RIU−1 and 76.7–82 RIU−1, respectively. We claim that the anticipated MS element can be employed in solar photovoltaic and biomedical sensing purposes.
Real-time 3D-echocardiography of the right ventricle-paediatric reference values for right ventricular volumes using knowledge-based reconstruction: a multicentre study.

Background Real-time 3D echocardiography is a promising method for non-invasive assessment of right ventricular performance in children with congenital heart disease. Volume quantification using knowledge-based reconstruction (KBR) enables the calculation of right ventricular dimensions by matching endocardial landmarks with a reference library of right ventricular shapes. However, paediatric reference values for volumes based on KBR are missing. Aim of this study was to establish reference values for right ventricular volumes in a large paediatric population using 3D echocardiography and KBR. Methods In a multicentre prospective-design study, 545 healthy children and adolescents (age range, 1 day to 216 months) underwent 3D echocardiography of the right ventricle using two different vendors (iE33, Philips or Vivid 7, GE). Volume analysis was performed by a semiautomatic quantification software (VMS, Ventripoint Diagnostics Ltd., Washington, US). Reference centiles were computed using Cole's LMS method and the gamlss package in R. For vendor comparison, 3D datasets were recorded subsequently in 20 subjects using both ultrasound devices. Results 3D datasets of 406/545 (74.5%) subjects provided an adequate image quality. Right ventricular volumes had a significant association with age, body size and sex. We created sex-specific percentiles indexed to body surface area (BSA). Intra- and interobserver-variation for all volume calculations were excellent with intraclass correlation coefficients (ICCs) between 0.973-0.998. Agreement of both vendors showed slightly higher end-diastolic and stroke volumes (bias ± standard deviation 2.2%±6.8% respectively 4.5%±8.1%) and smaller end-systolic volumes (-0.9±10.3%) using Philips datasets. Conclusions Calculation of ventricular volumes by KBR allows reliable non-invasive assessment of right ventricular volumes with excellent intra- and interobserver variations. The calculated percentiles based on a large paediatric population serve as a reference and may facilitate the use of real-time 3D echocardiography for the analysis of right ventricular size and function.
International Students’ Experience With Health Care in Japan

The number of foreign residents and visitors in Japan is increasing, which necessitates culturally competent care in hospitals. This study aimed to describe the experience of international students who visited hospitals in Japan. In total, nine international graduate students in a medical university participated in semi-structured interviews in English. The interview contents were transcribed and analyzed using content analysis. While participants were satisfied with an efficient medical system and kind staff, they also had difficulty communicating with staff and receiving health care due to language and cultural differences. Participants desired Japanese health care staff speak English, as well as have English documents. The differences from their own countries were mainly medical fees, insurance, the medical system itself, and use of English to communicate with foreign patients. It is necessary to improve staff’s English skills, provide English documents, use multilanguage interpreter services, and explain Japanese hospitals’ medical system.
Awareness of E-Cigarettes among Student in Malaysian Public University

Article History: Received: 10 November 2020; Revised: 12 January 2021; Accepted: 27January 2021; Published online: 05April 2021 Abstract:Purpose: The intention of this research is to develop understanding of e-cigarette awareness towards students in university. Method: The data collection method used in this study is online survey using Google form applications via social media platforms. The respondents consist of 304 students from Malaysian public university located in north Malaysia. This survey consists of 14 questions including the demographic question. Result: Most of the respondents (n = 304) were aware of the impact of e-cigarettes and 124 (40.79 percent) had used an e-cigarette previously. E-cigarette awareness is also high among female students compared to male students.Conclusion: Importantly, attention needs to be paid to the use of ecigarettes. Besides that, government law enforcement needs to be restructured to monitor the e-cigarette product from direct to adult access. Institutions also need to play a role in exposing students to awareness of e-cigarettes by increasing awareness programs. Overall, this study suggests a further research on this area to be conducted in a large scope of population in Malaysia and demographic locations.
How do the leadership strategies of middle leaders affect teachers’ learning in schools? A case study from China

ABSTRACT Research on how to support school-based teacher learning has largely focused on the role of leaders at the top of the school organisation. It has paid little attention to middle leaders, who directly initiate and are deeply involved in teachers’ learning processes. Linking leadership constructs with organisational learning, we examined how middle leaders practise leadership to support teachers’ learning and professional development in school-based settings. Taking a qualitative case-comparison approach, we recruited 22 teachers and middle leaders from two school-based communities in a secondary school in Shanghai, China. We found that two combinations of leadership approaches were enacted by middle leaders to motivate various forms of learning for change. A bureaucratic leadership approach, supplemented by professional strategies, supported teachers’ performance-oriented learning; and a coordinated bureaucratic and professional leadership approach supported teachers’ meaning-oriented learning. Different interpretations of the role of middle leaders and the goals of school-based teacher learning and professional development resulted in various combinations of leadership strategies, which shaped the form and quality of learning. We further suggest ways to promote teachers’ sustainable learning and professional development in school settings.
Enhancement of the correlation of the photons of thermal light

D.L. Khokhlov, Sumy State University (Retired), R. ‐Korsakov St. 2, Sumy, 40007 Ukraine. Email: dlkhokhl@rambler.ru Abstract The scheme of the arrangement of five 50/50 non‐polarizing beam splitters is considered. It may provide for the enhancement of the correlation of the photons of thermal light up to 75%. The correlation of the photons after the arrangement can be measured using ghost imaging, Bell test, Hong‐Ou‐Mandel interference.
Composite empirical likelihood for multisample clustered data

In many applications, data cluster. Failing to take the cluster structure into consideration generally leads to underestimated variances of point estimators and inflated type I errors in hypothesis tests. Many circumstance-dependent approaches have been developed to handle clustered data. A working covariance matrix may be used in generalised estimating equations. One may throw out the cluster structure and use only the cluster means, or explicitly model the cluster structure. Our interest is the case where multiple samples of clustered data are collected, and the population quantiles are particularly important. We develop a composite empirical likelihood for clustered data under a density ratio model. This approach avoids parametric assumptions on the population distributions or the cluster structure. It efficiently utilises the common features of the multiple populations and the exchangeability of the cluster members. We also develop a cluster-based bootstrap method to provide valid variance estimation and to control the type I errors. We examine the performance of the proposed method through simulation experiments and illustrate its usage via a real-world example.
Yolk–shell-structured mesoporous silica: a bifunctional catalyst for nitroaldol–Michael one-pot cascade reaction

Great interest in heterogeneous asymmetric catalysis has focused on obtaining an enantioselective cascade reaction through a controllable active site-isolated heterogeneous catalyst. Herein, we utilize a yolk–shell-structured mesoporous silica and assemble an active site-isolated bifunctional heterogeneous catalyst, where chiral cinchonine-based squaramide molecules are anchored within a silicate channel as an outer shell while amine-functionalities are entrapped onto a silicate yolk as an inner core. Structural analyses and characterizations of the heterogeneous catalyst reveal its well-defined single-site chiral active species within its silicate network. Electron microscopy confirms the yolk–shell-structured mesoporous material. As presented in this study, as a bifunctional heterogeneous catalyst, it enables an efficiently nitroaldol–Michael cascade reaction to conduct the three-component coupling of nitromethane, aldehyde and acetylacetone into various chiral diones with high yields and up to 99% enantioselectivities in a one-pot process. As expected, this active site-isolated catalyst not only enhances the catalytic selectivity of the first-step nitroaldol condensation, but also keeps the enantioselectivity of the second-step Michael addition. Moreover, the heterogeneous catalyst can be also recovered easily and recycled repeatedly, making it an interesting feature in a three-component organic transformation.
Detecting and filtering rumor in social media using news media event

In social media platform, many users post messages to express their interests and preferences daily. Because of its fast and easy access abundant people follow news events and there is a possibility for spreading rumor or fake news. This fake news is unverified at the time of posting. Therefore, it is necessary to detect and remove the fake news before it spread widely. Rumors or fake news are created illegally for the purpose of popularity, hike in their business or financial, and so forth, and these rumors need to be detected as easily as possible. Our proposed rumor detection method compares the social media content with news media and applies the support vector machine (SVM) as binary classification technique. Our experiments results revealed that the proposed method attained considerable improvement when compared to the existing machine learning techniques. The proposed SVM rumor detection approach attained better results of 89% precision, 64% recall, and 85% F‐measure. The experimental results proved that the proposed method will be useful for avoiding social damages caused by rumors in social media.
The study on dynamic shear modulus and damping ratio of marine soils based on dynamic triaxial test

Abstract The dynamic shear modulus and damping ratio, as important parameters of soil dynamics, are indispensable for the evaluation of seismic safety and analysis of soil layer seismic response. Due to the limited existing research into marine soil’s dynamic shear modulus and damping ratio, there is a failure to get the reference values, along with the reference values for relevant parameters of soil. The soil physical mechanics and dynamic triaxial test research concerning the 25 samples of the Yellow Sea offshore project in Sheyang, Jiangsu Province were made in this paper, where the particle-grade curve of marine soils was also given. According to the current research theory, the method of determining the confining pressure values was explained in detail. Eventually, a linear influence on the maximum dynamic shear modulus with the increase of effective confining pressure was established, following research into the relationship between the maximum dynamic shear modulus and the effective confining pressure, using the hyperbolic model proposed by Hardin. According to the attenuation model relationship of G/G max proposed by Martin, fitting with least square method, the relationship between the dynamic shear modulus and damping ratio of marine soils with shear strain was discussed. The results demonstrate that with the increase of the shear strain, the dynamic shear modulus ratio shows a trend of slight change followed by quick decrease and the damping ratio shows a trend of slow increase followed by quick increase. The reference values for dynamic shear modulus and damping ratios of various marine soils were proposed, via comparison with existing research results. The research results obtained provide basic data for marine soil dynamics and seismic engineering research.
Interfacial magnetic coupling and orbital hybridization for D022-Mn3Ga/Fe films

Interfacial magnetic coupling interactions between D022-Mn3Ga and ultrathin Fe films were studied using first principles calculations. Based on the calculations of surface energy and interface energy, it is demonstrated that Mn-Ga/Fe is the most stable interfacial structure. As a result, four possible coupling states between D022-Mn3Ga and Fe films may be present by considering the relative direction of magnetic moment for the interfacial and inner-layer Mn atoms. Their corresponding energies were calculated by varying the Fe atomic layer thicknesses from 1 to 6 monolayers. It is found that the antiferromagnetic coupling energy in D022-Mn3Ga/Fe films with an anti-parallel magnetic moment of the interfacial and inner-layer Mn atoms is the smallest one, regardless of the Fe layer numbers. The possible mechanism about the antiferromagnetic interactions between D022-Mn3Ga and ultrathin Fe films was analyzed by the orbital-resolved electronic density of states.