Miracle-dz/UniFAR-FTUs huggingface dataset:
You have heard of CONSORT, you have heard of PRISMA. Now, a template for reporting exercise trials (CERT)

How should exercise trials be reported? Dr Susan Slade publishes the answer in the free access paper coining the term ‘CERT’—Consensus on Exercise Reporting Template ( see page 1428 ). Such pioneering work is not likely to be set in stone for the next decade. Let's hear your feedback via the various channels by which you can engage with BJSM . We revel in criticism , as you know (a quote from the BMJ 's Dr Fiona Godlee). It's the way the field advances. You'll see that resistance training ameliorates lung function and hypertension in the setting of obese participants. ( see page 1438 ). A second resistance training paper focuses on resistance training …
Polarization Reconfigurable Antenna: A brief Review

The main motive of this paper is to understand the different techniques which have been adopted in recent years in the design of polarization reconfigurable antenna. It is a solitary antenna that is used for different polarization diversities like horizontal linear polarization (HLP), vertical linear polarization (VLP), right-hand circular polarization (RHCP), and left-hand circular polarization (LHCP) with the help of a switching. This antenna increases the diversity gain by reducing the interference and multipath fading effects which generally occurs due to the presence of other antennas for the same purpose. Hence, these antennas can be easily used for terrestrial and aerospace applications, i.e. adaptive beam scanning and multiple inputs and multiple-output (MIMO) systems.
Taking Advantage of the Sum of the Light in Outphasing Technique for Visible Light Communication Transmitter

Visible light communication (VLC) takes advantage of the widespread use of the light-emitting diodes (LEDs), and by modifying the driver stage, the LEDs are capable of lighting and transmitting information. One of the main drawbacks is the low power efficiency due to the modification of the LED driver stage in order to add the communication capability. Most of the research work related to VLC is toward the communication task, whereas there is a limited work about the improvement on power efficiency. This article proposes a high-efficiency LED driver for VLC working as a transmitter based on the outphasing technique. This technique is used also in radio frequency (RF) communications and increases the efficiency of the amplifiers. The proposed transmitter is made up of two switching-mode power amplifiers that reproduce the signals required for the outphasing technique and a dc/dc converter that biases the LEDs. The proposal exploits the light and, instead of being added electrically, the signals are added in their light form, which leads to a reduction in the complexity of the design. As experimental results, a transmitter was built of two Class E amplifiers reproducing a 16-QAM modulation, achieving a signal-generation efficiency of 78% and an overall efficiency of 92%.
SOFTWARE DEVELOPMENT TO DETECT LUNG NODULES IN COMPUTED TOMOGRAPHY SCAN IMAGE USING SUPPORT VECTOR MACHINE

Lung nodules is a circle or oval that is often found on chest radiograph (X-ray) or computed tomography (CT) scan. Lung nodules usually do not cause a symptom, usually found incidentally on chest X- ray or CT. Diagnosis process performed by observing CT Scan. The further process by taking a sample of tissue in the lungs and perform laboratory tests. This procedure is not effective. The aim of this study was develop software to detect lumps on pulmonary CT scan images are nodules or artery. This study consists of five steps. The first step is to build user interface. The second is to develop software for lung segmentation using Active Shape Model. The third is to develop software for candidate pulmonary nodules segmentation using mathematical morphology. The fourth is detection of pulmonary nodules using Support Vector Machine (SVM). The fifth is a 3-D visualization of pulmonary nodules using volume rendering. Results of detection of pulmonary nodules is accuracy 75%, sensitivity 77%, specificity 22%.
Behavioural Intention to Use MYOB Accounting Application among Accounting Students

This research aims to investigate the effect of effort expectancy, performance expectation, facility condition and social influence on behavioural intention to use MYOB accounting application. The unified technology acceptance and use of technology (UTAUT) is used to underpin the relationship. University of Bung Hatta’s accounting students registered at computer accounting subject in first session of academic year of 2018/2019 are research object. Seventy-seven students are participated in this study. Using the smart-pls, we found that there is a positive relationship between performance expectation and social influence with behavioural intention. Theoretically, this study partially contributes to the UTAUT. Practically, this finding can be used to increase the behavioural intention to use MYOB among accounting students by increase the performance expectation and social influence.
The role of sensorimotor training and postural control in chronic low back pain rehabilitation

Background: Proprioceptive training (PrT) is popularly applied as preventive or rehabilitative exercise method in various sports and rehabilitation settings. Its effect on pain and function is only poorly evaluated. The aim of this systematic review was to summarise and analyse the existing data on the effects of PrT on pain alleviation and functional restoration in patients with chronic (≥3 months) neckor back pain. Methods: Relevant electronic databases were searched from their respective inception to February 2014. Randomised controlled trials comparing PrT with conventional therapies or inactive controls in patients with neckor low back pain were included. Two review authors independently screened articles and assessed risk of bias (RoB). Data extraction was performed by the first author and crosschecked by a second author. Quality of findings was assessed and rated according to GRADE guidelines. Pain and functional status outcomes were extracted and synthesised qualitatively and quantitatively. Results: In total, 18 studies involving 1380 subjects described interventions related to PrT (years 1994 − 2013). 6 studies focussed on neck-, 12 on low back pain. Three main directions of PrT were identified: Discriminatory perceptive exercises with somatosensory stimuli to the back (pPrT, n = 2), multimodal exercises on labile surfaces (mPrT, n = 13), or joint repositioning exercise with head-eye coordination (rPrT, n = 3). Comparators entailed usual care, home based training, educational therapy, strengthening, stretching and endurance training, or inactive controls. Quality of studies was low and RoB was deemed moderate to high with a high prevalence of unclear sequence generation and group allocation (> 60%). Low quality evidence suggests PrT may be more effective than not intervening at all. Low quality evidence suggests that PrT is no more effective than conventional physiotherapy. Low quality evidence suggests PrT is inferior to educational and behavioural approaches. Conclusions: There are few relevant good quality studies on proprioceptive exercises. A descriptive summary of the evidence suggests that there is no consistent benefit in adding PrT to neckand low back pain rehabilitation and functional restoration.
Current Trends in Preservation Rhinoplasty

Abstract Recently there has been a dramatic acceptance of the preservation principle in rhinoplasty surgery. Surgeons worldwide now preform preservation rhinoplasty, which has led to an expanding list of indications and techniques. Most rhinoplasty surgeons have accepted the fundamental principle that preservation is better than resection and that a natural result is superior to a fabricated or reconstructed structure, especially with regards to the nasal dorsum. Currently, the main emphasis is on defining the indications/contraindications, technical refinements, and minimizing complications. This paper provides an overview of the current trends in preservation rhinoplasty. In the 2 years following publication of the Editorial, “The Preservation Rhinoplasty: A New Rhinoplasty Revolution,” 1 there has been a dramatic acceptance of the preservation principle. Numerous surgeons throughout the world are preforming preservation rhinoplasty, which has led to an expanding list of indications and techniques. The majority of rhinoplasty surgeons have accepted the fundamental principle that preservation is better than resection, and that a natural result is superior to a fabricated or reconstructed structure, especially as regards the nasal dorsum. Currently, the main emphasis is on defining the indications/contraindications, technical refinements, and minimizing complications. The present paper is an overview of the current trends in preservation rhinoplasty.
Patterns of use of new psychoactive substances and perceived benefits and negative effects: results of online survey in Georgia (country)

ABSTRACT Introduction: The increasing use of new psychoactive substances (NPS) represents a growing public health challenge. This is the first study in Georgia that aims to explore the characteristics of NPS users, patterns of use, and perception of health risks. Methods: We conducted an online survey in which individuals who have used NPS during the past 12 months filled in a structured questionnaire that covered socio-demographics, drug use practices, and perception of effects of NPS use. Results: The final database consisted of 353 questionnaires. Cannabis-, MDMA- and LSD-type NPS were most often used substances. Majority obtained NPS from friends and used NPS in a group of friends. Majority of the respondents did not attribute any physical and mental health problems to NPS use. A range of negative effects was reported. Discussion: Respondents identified a range of negative and positive health and social effects and linked them to the consumption of a particular NPS. Results of this research are important for guiding future efforts to assess health risks associated with NPS use, and to propose harm reduction strategies to mitigate those risks.
Model Penerjemah Bahasa Isyarat Indonesia (Bisindo) menggunakan Convolutional Neural Network

This research proposed the development of the Indonesian Sign Language (Bisindo) translator model using machine learning technology especially the Convolutional Neural Network (CNN). In contrast to existing research, Bisindo is a sign language that is relatively wide-used by the Deaf but it is not the official sign language, so the required dataset is almost non-exist. The purpose of this study is to improve the accessibility of the Deaf by increasing the number of Bisindo electronic translators. Besides, this study also aimed to evaluate the parameter-transfer method to overcome the limitations on the amount of data in the dataset and its performance in the implementation of different sign language systems. The development of the Bisindo model is done by utilizing the architecture of the American Sign Language (ASL) Model through two approaches based on the usage of the model parameters, called Model A and Model B. Model A developed without using parameters from the ASL Model (without parameter-transfer),while the Model B developed using the ASL Model parameters and the knowledge parameters within (with transfer parameters). The method used in the development is experiment and data analysis to determine the best model was done quantitatively by analyzing the duration of the training, accuracy during testing and F1 score at testing. The ASL model in the study hada testing accuracy of 96.40%. The results showed that Model A produced a testing accuracy of94.38% while Model B produced only 30% of testing accuracy. It can be concluded that the parameter-transfer in Model B requires less training time than Model A and makes the model be able to learn the Bisindo features that have similarities to the ASL features. However, to study the entire Bisindo alphabet, using architecture without parameter-transfer is a better approach than using parameter-transfer.
Cournot-Nash Family Decision and Economic Growth in an Extended Solowian Model

The purpose of this paper is to study economic growth with family-based microeconomic foundation. It develops a neoclassical growth model of endogenous wealth accumulation and consumption of two-person families. Growth mechanism and economic structures are based on a generalized Solowian growth model with Zhang’s concept of disposable income and utility. Each spouse maximizes his/her utility function which is dependent on his/her egocentric utility function and the spouse’s egocentric utility function. One’s egocentric utility function is related to one’s private consumption of goods, consumption of family goods, and saving made out of one’s own disposable income. The couple’s decisions are interdependent and are modelled as a Cournot-Nash game. Our model endogenously determines intra-household wealth accumulation and resource allocation on consumption and saving. The paper make an integration of some basic ideas in neoclassical growth theory and family economics. We conduct comparative dynamic analyses to show how the movement of the economy is affected by different exogenous changes in gender relations, preferences, and technologies.
Event‐triggered observer‐based robust H∞ control for networked control systems with unknown disturbance

In this article, the event‐triggered robust H∞ control is studied for a class of uncertain networked control systems (NCSs) subject to unknown state and variable disturbance. First, aiming to decrease the unnecessary transmissions of sampled data, an efficient adaptive event‐triggered scheme (AETS) is presented, which can reflect the full real‐time variation of addressed NCSs and help to reduce the conservativeness. Second, based on the triggered output signals and disturbance model, two effective observers are, respectively, exploited to estimate the state and disturbance, which are further utilized to reject the disturbance and design the controller. By using the overall closed‐loop system and selecting an augmented Lyapunov‐Krasovskii functional, two sufficient conditions on jointly designing the adaptive event scheme, observers, and controller are established via linear matrix inequality forms, which can guarantee the global exponential stability and ensure H∞ performance. Finally, some simulations and comparisons in a numerical example are provided to demonstrate the effectiveness of the derived results.
The determination of meat species by PCR-RFLP method using mitochondrial ND4 gene in pastırma, a traditional dry cured meat product

Pastirma is a high value, traditional, dry cured, and edible coated meat product. For economic and sociocultural reasons, it is important to know which meat species are used in pastirma. The present study aims to carry out the determination of the meat species in pastirma. A total of 144 pastirma samples were collected from different stores. After genomic DNA isolation, the total DNAs obtained were subjected to polymerase chain reaction (PCR) using specially designed novel primers amplifying the mitochondrial ND4 (MTND4) gene region, specific for cattle (Bos taurus), water buffalo (Bubalus bubalis), horse (Equus caballus), and donkey (Equus asinus) species. For the identification of the meat species, gel purified 952 bp PCR products were digested with fast digest SaqAI restriction enzymes selected based on preliminary in silico analyses. The results of the present study revealed that all of the pastirma samples were made from cattle meat. Cross-reactions and false-positive identifications are serious problems in routine determination of the meat species in food control laboratories. It is important to perform fast, inexpensive determination with high sensitivity and specificity for the identification of meat species. This study has shown that meat species can be detected with high specificity in products such as pastirma, which uses large pieces of meat cuts.
Basic wood properties of Borneo ironwood (Eusideroxylon zwageri) planted in Sarawak, Malaysia

The aim of this study is to obtain the basic wood properties of planted Borneo ironwood (Eusideroxylon zwageri) from a plantation established about 80 years ago. Stem diameter at 1.3 m above the ground, tree height, and stress-wave velocity (SWV) of stem were measured on 36 planted E. zwageri trees. Later, core samples were collected from four trees whose measurements represented the average stem diameter of all the measured trees. Using the core samples, the moisture content (MC), basic density (BD), and compressive strength parallel to grain (CS) were measured. Dynamic Young’s modulus for longitudinal direction at green condition (E) was also calculated from SWV. There was no significant relationship between growth characteristics and SWV. Mean values of MC, BD, CS, and E were 37.2 %, 0.86 g/cm, 64.3 MPa, and 18.47 GPa, respectively. Significant differences among individual trees were found in MC, BD, and CS. In addition, radial variations were almost constant from bark side to pith side. The results indicate that longitudinal E is independent from growth characteristics, and that the E. zwageri wood tested in this study has uniform BD and CS in the radial direction.
Effect of Moral Disengagement on Cyberbullying Perpetration in Middle School Students and the Moderating Role of Self-Control

This study examined the effects of moral disengagement (cognitive restructuring and blaming the victim) and selfcontrol on cyberbullying perpetration and investigated if self-control moderated the relationship between moral disengagement (cognitive restructuring and blaming the victim) and cyberbullying perpetration. Participants in the study consisted of 551 middle school students (273 boys and 278 girls) from five middle schools in Seoul and Gyeonggi-do. Cyberbullying perpetration, moral disengagement and self-control were measured using the Bullying/ Victimization Questionnaire, the Mechanisms of Moral Disengagement Scale, and the Self-Control Scale for children and adolescents. Data were analyzed by means of descriptive statistics and a hierarchical regression analysis. The moderating effect of self-control was analyzed using procedures proposed by Baron and Kenny (1986). The results indicated that both levels of cognitive restructuring and blaming the victim increased cyberbullying perpetration whereas the level of self-control decreased cyberbullying perpetration. In addition, self-control moderated the effect of cognitive restructuring on cyberbullying perpetration. The influence of cognitive restructuring on cyberbullying perpetration was greater when the level of self-control was low, compared to when it was high.
Phytochemical constituents in edible parts of anchote (Coccinia abyssinica (lam.) (cogn.)) accessions from Ethiopia

Anchote (Coccinia abyssinica) accessions from Ethiopia were tested for the presence of major phytochemicals using qualitative and quantitative methods. The qualitative tests were performed for 12 phytochemical compounds with 6 solvent extracts and water using standard methods. Quantitative analysis for important secondary metabolites included total phenols, total flavonoids, crude saponins and beta-carotene. Of the 12 phytochemicals tested, five compounds showed positive results for all the seven extracts in the tubers, whereas only two phytochemicals responded positively in the leaves. The water extract of anchote showed positive results for 11 of the phytochemicals while n-butanol showed positive results for six in both the tuber and leaf parts. The water extract also had the highest phytochemicals in both the tuber and leaf parts when compared to the other solvent extracts. Anchote leaf had the highest total phenol and flavonoid contents followed by the fruit and the least concentration was in the tuber for all the accessions. The leaf contained the highest percentage of saponins (27.65%) while tuber had the lowest (14.65%). The β-carotene content in five accessions of anchote leaf ranged from 25.9±0.03 to 35.2±0.16 µg/g. Anchote is popular in the Oromo and non-Oromo tribes in Ethiopia, because of its medicinal role. Owing to the various phytochemical compounds present in the plant further screening and identification of its active compounds is recommended.
Color Difference Detection of Polysilicon Wafers Using Optimized Support Vector Machine by Magnetic Bacteria Optimization Algorithm With Elitist Strategy

A support vector machine (SVM) is an important method in the detection and classification of the color difference on a polysilicon wafer. However, the accuracy of a SVM is affected by its feature vector and parameters. Owing to the complex color information and random texture features on the wafer surface, the feature design is extremely complicated. Meanwhile, a SVM optimized using a popular intelligent algorithm easily falls into a local optimum, and the convergence of the algorithm needs to be improved. Therefore, a classification method is proposed for detecting the color difference from multi-scale features in polysilicon wafer images. First, to extract the features, an image segmentation method is devised based on the maximum region contrast, which effectively applies a threshold segmentation of the wafer images. Second, the multi-scale features and color representations in different color spaces are used to construct a nine-dimensional feature vector that sufficiently describes the surface characteristics of the wafer. An approach to optimize the SVM is finally proposed using a magnetic bacteria optimization algorithm based on an elitist strategy for parameter optimization. The optimum individual of each generation is used to adjust the magnetic moment such that the solution approaches the optimal direction and enhances the global search ability. A fitness function is also introduced to improve the diversity of the solutions through a cross-validation method. The experiment results show that the proposed algorithm achieves an accuracy of 98.3% with a better classification performance than the other methods and that the color difference of polysilicon wafers can be effectively detected.
The Marikana Massacre and the Unstable Geographies of Capital: Spatialising Financialisation

ABSTRACT On the 16th of August 2012, a protracted strike at a platinum mine in Marikana culminated in the killing of 34 mineworkers by local security officers. As literature on the historical significance of this event in post-apartheid South Africa grows, the many socio-spatial legacies of apartheid become exposed. This article builds on these discussions and considers how financialisation in the post-Bretton Woods era has reworked historical tensions between labour, capital, and state regulation. Financial markets, their intermediaries and interests have become central to the articulation of value, with finance centres like Wall Street and London dominating evaluations of worth, profit, risk, and uncertainty. Yet, as the Marikana massacre made clear, these articulations go far beyond the cloistered markets and exchanges of New York and London. Instead, the articulation and circulation of value resembles the functioning of an infrastructural assemblage that brings together multiple geographies of power in uneven and unstable ways. During times of disruption, like the Marikana massacre, we are able to expose and challenge the unequal politics of power and opportunity this infrastructure creates and stabilise.