Miracle-dz/UniFAR-FTUs huggingface dataset:
Differences between men and women in percentage of body weight supported during push-up exercise

International Journal of Exercise Science 7(2) : 161-168, 2014. The purpose of this study was to investigate the effects of push-up method (standard vs modified) and gender on percentage of body weight supported. Thirty seven men and women completed five push-ups in the standard (SPU) and modified (MPU) positions, and 5-sec hold (static) in the up (elbow extension) and down (elbow flexion) positions. Vertical ground reaction forces (expressed as load relative to body weight) were measured using force platforms. From a video-captured image, a computer software distance tool measured vertical range of motion (ROM) achieved in the down position expressed as a percentage of full vertical ROM. Maximal relative load was greater in men than women (SPU: 97.7 ± 8.1% vs 80.0 ± 3.9%; MPU: 79.7 ± 7.4% vs 68.2 ± 3.0%, p < .0001) with a greater effect during SPU (p < .0001). In the static up position, relative load did not differ between men and women (SPU: 67.0 ± 3.8% vs 65.1 ± 3.1%; MPU: 52.5 ± 3.7% vs 51.5 ± 3.1%); however, relative load was greater in men during the static down position (SPU: 74.6 ± 3.6 vs 70.3 ± 3.1%; MPU: 60.1 ± 4.5 vs 56.6 ± 2.7%, p < .0001). Percentage of full vertical ROM was greater in men than women (SPU: 67.7 ± 6.1% vs 50.1 ± 11.4%; MPU: 66.6 ± 6.9% vs 60.1 ± 8.9%, p = .001). These data indicate that women perform the push-up with less relative load and ROM, likely due to gender differences in movement patterns which can be altered by fatigue.
Detection of IM points in Seismocardiogram and possible application

The seismocardiogram (SCG) is the record of cardiac mechanical activity below 30 Hz. This paper proposes an algorithm for identifying IM points in the SCG, which are associated with isovolumetric ventricular contraction. This algorithm highlights for the exclusive use of the SCG signal in detecting points. With these points it is possible to obtain an equivalent time series to the RR series in the electrocardiogram (ECG), which can be a starting point for the analysis of heart rate variability (HRV). This paper compared the IM-IM and RR series from a group of healthy subjects. The results showed more than 96% similarity between them. In addition, SDNN, RMSDD and pNN50 indicators are evaluated in both series obtaining a correlation of 95.14%, 94.82% and 95.25% respectively. These results show that the IM-IM series can be an alternative for the analysis of HRV.
Terhadap Rating Image Marker Pada Augmented Reality

Image is one of the most popular markers on the marker tracking method of augmented reality. The device's detection process against image markers is based on features that are formed from the angle of the pattern in the image. Images are made into markers with the help of target management system (TMS) using the grayscale version of the image. To determine the quality of the image marker, TMS will assign a rating to each image used as a marker. The higher the rating obtained the better the image as a marker and the better the detection process by the device. The high rating is derived from the number and distribution of features and patterns that are not repeated. The number of features can be upgraded one of them by the brightness and / or contrast manipulation adjusted to the characteristics of each image.
VERY HIGH CYCLE FATIGUE OF FIBRE-REINFORCED COMPOSITES: AN ALTERNATIVE EXPERIMENTAL APPROACH

A special test rig for high frequent four-point bending of fibre-reinforced flat specimens has been developed and combined with several online monitoring techniques. By circumventing common problems, it allows the detailed investigation of the degradation behavior, the damage mechanisms and their interaction at very high cycle numbers in the range of 10 8 . First data for a set of cross-ply [0/90]s GFRP specimens is presented. Analysis of stiffness degradation, crack densities and delamination give first insights in the effects of load level.
Comparison of Half and Full-Leaf Shape Feature Extraction for Malaysian Medicinal Leaf Identification and Classification

Shape is the main information for leaf feature that most of the current literatures in leaf identification utilize the whole leaf for feature extraction and to be used in the leaf identification process. In this paper, study of half-leaf features extraction for leaf identification is carried out and the results are compared with the results obtained from the leaf identification based on a full-leaf features extraction. Identification and classification is based on shape features that are represented as cosines and sinus angles. Ten classifiers obtained from WEKA and seven ensemble methods are used to compare their performance accuracies over this data. The classifiers were trained using 65 leaves in order to classify 5 different species of preliminary collection of Malaysian medicinal plants. The result shows that half-leaf features extraction can be used for leaf identification without decreasing the predictive accuracy.
3D Discrete Wavelet Transform VLSI Architecture for Image Processing

In this paper, we propose an improved version of lifting based 3D Discrete Wavelet Transform (DWT) VLSI architecture which uses bi-orthogonal 9/7 fllter processing. This is implemented in FPGA by using VHDL codes. The lifting based DWT architecture has the advantage of lower computational complexities transforming signals with extension and regular data ∞ow. This is suitable for VLSI implementation. It uses a cascade combination of three 1-D wavelet transform along with a set of in-chip memory bufiers between the stages. These units are simulated, synthesized and optimized for Spartan-II FPGA chips using Active-HDL Version 7.2 design tools. The timing analysis tools of this (Active-HDL), reports the frequency above 100MHz and ensures 100% hardware utilization.
FACTORS INFLUENCING FINANCIAL PERFORMANCE THROUGH SUSTAINABILITY REPORTING IN INDONESIA

The study aims to examine factors influence financial performance through sustainability reporting. The sample is companies that received an Indonesia Sustainability Reporting Awards (ISRA) in 2016. This study uses secondary data from the annual report 2012-2016. The first result shows that board size and sustainability are not significant. The second and third result shows the size and leverage have a positive impact on sustainability reporting. The last result shows that sustainability reporting has a positive and significant effect on financial performance. The contributions in this study, first, it shows the mediating effect of sustainability reporting on the relationship between these factors and financial performance. Second, this study also investigates companies that received ISRA in 2016. The limitation of this study is that it focuses on companies that received the award from ISRA in 2016. Another limitation, the framework is not the best framework.
Differential expression and function of the endogenous lactate receptor , GPR 81 , in ER α-positive / HER 2-positive epithelial vs . post-EMT triple-negative mesenchymal breast cancer cells

Aim: Lactate can signal through the endogenous lactate receptor, GPR81, which is expressed in some cancers. Lactate metabolism is altered by the metastasis-promoting process of epithelial-mesenchymal transition (EMT). This study examined the expression and function of GPR81 in breast cancer samples, and in receptor-positive epithelial vs. triple-negative post-EMT mesenchymal breast cancer cells. Methods: GPR81 mRNA expression was examined by breast cancer microarray, and by a Kaplan-Meier survival curve. Using 3-dimensional culture conditions, GPR81 mRNA expression in epithelial and mesenchymal breast cancer cell lines was measured by qRT-PCR. GPR81 siRNA was used to assess the role of GPR81, alone or in conjunction with tamoxifen, in the regulation of MCT1 and MCT4 lactate transporters, intracellular lactate, and cell proliferation and survival. Results: GPR81 mRNA levels were elevated in receptor-positive breast cancer, relative to non-tumor and triplenegative samples, and correlated with increased survival. GPR81 expression was elevated in the two epithelial breast cancer cell lines vs. the corresponding post-EMT mesenchymal cell lines. GPR81 knock-down in epithelial MCF7 cells caused: 1, selectively lower mRNA and protein expression of the MCT1 transporter, but not MCT2 or MCT4 transporters; 2, lower levels of intracellular lactate; and 3, decreased proliferation and survival in lactate onlycontaining conditions. GPR81 siRNA plus tamoxifen displayed additive suppressive effects on MCT1 expression and
Emülsiyonların Özellikleri ve Emülsifikasyon Koşullarının Aroma ve Yağların Mikroenkapsülasyonu Üzerine Etkisi

In production of emulsion based microencapsulated powders, some properties such as emulsion stability, rheology, emulsion droplet size and distribution have direct influences on final quality of powder. This review presents information about stability, rheological properties, droplet size and emulsification method of oil-water emulsions used for microencapsulation in the food industry.
A Novel Approach for optimization of Feature Selection

the accuracy of many classification problems is crucial. The number of features for collected data is increasing, and the need to find the best features to be used to increase the accuracy of classification is a necessity. There are several methods of feature selection, but none of them give the absolute best solution and most of them fall in the trap of local optima. This paper presents a new method that searches for the absolute best solution, or a solution which will give a higher classification accuracy rate by using a novel approach that divides the features into two groups: first group and second group of features. After that the method finds the best combination from the two groups to give the maximum accuracy rate. The purpose from this method is to select and find the best feature/s as individual or in groups.
Improving the Students ’ Creative Thinking using Problem Based Worksheet on the Topic of Environmetal Pollution

Improving the students’ creative thinking skills using problem based worksheet on the topic of environmental pollution. Objectives: This research aims to investigate the effectiveness of problem based worksheet to improve students’ creative thinking skills on the topic of environmental pollution. Methods: Creative thinking skills were measured using four indicators: fluency, flexibility, originality, and elaboration. The research was designed using the matching only pretestpostest control group design. The data of creative thinking skills were collected from pretest and posttest and analyzed using statistical analysis such as normality, homogeneity, t-test, and Mann-Whitney test. Findings: Students’ elaboration skill showed the highest improvement related to the effect size (0.92) and n-gain value (0.73). Conclusion: The problem based worksheet is effective to improve students’ creative thinking skill.
On the Production of Semantic and Textured 3D Meshes of Large scale Urban Environments from Mobile Mapping Images and LiDAR scans

Dans cet article nous presentons un cadre entierement au-tomatique pour la reconstruction d'un maillage, sa textu-ration et sa semantisation a large echelle a partir de scans LiDAR et d'images orientees de scenes urbaines collectes par une plateforme de cartographie mobile terrestre. Tout d'abord, les points et les images georeferences sont de-coupes temporellement pour assurer une coherence entre la geometrie (les points) et la photometrie (les images). Ensuite, une reconstruction de surface 3D simple et ra-pide basee sur la topologie d'acquisition du capteur est effectuee sur chaque segment apres un reechantillonnage du nuage de points obtenu a partir des balayages LiDAR. L'algorithme de [31] est par la suite adapte pour texturer la surface reconstruite avec les images acquises simultane-ment assurant une texture de haute qualite et un ajustement photometrique global. Enfin, en se basant sur le schema de texturation, une semantisation par texel est appliquee sur le modele final. Mots Clef scene urbaine, cartographie mobile, LiDAR, reconstruction de surface, texturation, semantisation, apprentissage pro-fond. Abstract In this paper we present a fully automatic framework for the reconstruction of a 3D mesh, its texture mapping and its semantization using oriented images and LiDAR scans acquired in a large urban area by a terrestrial Mobile Mapping System (MMS). First, the acquired points and images are sliced into temporal chunks ensuring a reasonable size and time consistency between geometry (points) and pho-tometry (images). Then, a simple and fast 3D surface reconstruction relying on the sensor space topology is performed on each chunk after an isotropic sampling of the point cloud obtained from the raw LiDAR scans. The method of [31] is subsequently adapted to texture the reconstructed surface with the images acquired simultaneously, ensuring a high quality texture and global color adjustment. Finally, based on the texturing scheme a per-texel semantization is conducted on the final model.
Treatment of psoriasis by compound glycyrrhizin injection and its effects on peripheral blood Th 17 cell proportion and IL-22 concentration

Objective: To observe the therapy efficacy of compound glycyrrhizin for psoriasis vulgaris and investigate peripheral blood Th17 cell proportion and IL-22 level changes, patients were evaluated before and after the treatment. Methods: One hundred patients with psoriasis vulgaris were recruited in our hospital from June 2015 to June 2016. Two groups (glycyrrhizin for compound glycyrrhizin plus standard treatment, standard for general treatment) were allocated randomly. Forty healthy people were selected as the control group (control). The therapy efficacy of compound glycyrrhizin was evaluated through changes of Psoriasis Area and Severity Index (PSAI) score. The safety of compound glycyrrhizin was expressed as changes in blood pressure, blood and urine routine, live and renal function parameters as well as electrolyte balance. Before and 4 weeks after the treatment, peripheral blood of each group was further collected to detect the percentage of Th17 cells and IL-22 expression concentrations. Results: Compound glycyrrhizin plus standard treatment showed higher effective rate for psoriasis vulgaris than standard treatment (87% vs. 62%, P<0.05). Patients with psoriasis vulgaris showed higher percentage of Th17 cells and increased IL-22 concentrations in the peripheral blood compared with healthy controls (both P<0.05). The decreasing of Th17 cell proportion and IL-22 level showed positive correlation with PSAI grade. Compound glycyrrhizin plus standard treatment resulted more decreases in peripheral blood Th17 cell proportion and IL-22 concentration compared with standard treatment (P<0.05). No significant changes were found for blood pressure, blood and urine routine, liver and renal function parameters as well as electrolyte balance during compound glycyrrhizin treatment (both P>0.05). Conclusion: Th17 and IL-22 may be related to the pathogenesis of psoriasis. The combination of compound glycyrrhizin and standard treatment showed good efficacy, which may be related with the decreasing of Th17 cell proportion and IL-22 levels.
Noise Suppression Algorithm Based on Loudness Management for Preserving Speech Components

A hearing aid amplifies the input sound from a microphone in conformity with the hearing threshold of a user; however, it simultaneously enhances undesired environmental sounds such as the noise of an air conditioner or a car. According to MarkeTrak V [1], such kinds of noise are often perceived by the hearing aid user with a strong feeling of discomfort, and thereby, the user perceives the continuous use of the hearing aid to be inconvenient. Numerous algorithms have been proposed and implemented for hearing aids as well as cell phones for the purposes of speech enhancement, reduction of discomfort due to noise [2, 3], and alleviation of listening effort [4]. However, it is widely known today that speech intelligibility is not significantly improved by using conventional algorithms, despite the improvement in sound quality [5]. Considering that a hearing aid is an effective communication device for the hearingimpaired, the most important issue for users in their daily lives is to improve the speech recognition rate during communication. Noise reduction algorithms based on spectral subtraction estimate the spectrum of the noise component and then subtract it from the observed signal spectrum; even hence, if the speech spectrum is masked in the noise, it would result in a decrease in the output signal or level of loudness. The degradation of output level for certain frequency components might affect the speech quality depending on the hearing level of the patients, because the output sound level will be lower than the patients threshold of hearing, though this degradation has a positive effect in terms of reducing the annoyance of patients. In this study, a noise reduction algorithm based on loudness management, which eliminates unnecessary spectral subtraction, is proposed. The concept of our algorithm is that noise components are preserved as much as possible by keeping loudness level of speech signal for positive effect of speech recognition.
Chapter 2 Naturally Occurring Pathogens and Invasive Arthropods

Establishment of introduced pest arthropods has been attributed, in part, to the pest arthropods’ separation from natural control agents in their native ranges. Here we focus on the role of endemic pathogens in establishment and population regulation of exotic pest and beneficial arthropods and explore factors affecting their regulation by endemic pathogens. We do not attempt an exhaustive list of examples but illustrate some instances showing diverse aspects of the host-pathogen relationships involved. As a case study, we discuss establishment of the multicolored Asian lady beetle and its rapid spread across North America as related to its resistance to an endemic fungal pathogen to which some native lady beetle species are susceptible. It is clear that advances in our knowledge about the epizootiology of endemic pathogens with exotic arthropods will enhance our understanding of invasion biology and assist in regulation of invasive pests.
Power Quality Enhancement Across A Micro Grid by using Fuzzy Controlled H-Bridge Multilevel PV Inverter

The inverters are categorized according to the configuration of the PV system, the configuration of the conversion stages within the inverter and whether they use transformers. After the introduction of the state of the art of inverters for PV systems with and without transformers, the paper focuses on some known problems and challenges for transformer less inverters. Topologies without transformers have big advantages like low weight, volume and cost. In addition they often reach higher efficiencies than topologies with transformers. Eliminating the leakage current is one of the most important issues for transformer less inverters in grid-connected photovoltaic system applications, where the technical challenge is how to keep the system common-mode voltage constant to reduce the leakage current. To realize better utilization of PV modules and maximize the solar energy extraction, a distributed maximum power point tracking control scheme is applied to both singleand threephase multilevel inverters, which allows independent control of each dc-link voltage. For three-phase grid-connected applications, PV mismatches may introduce unbalanced supplied power, leading to unbalanced grid current. The intend of the fuzzy logic approach is to meet high quality output, minimum THD, fast response and high robustness. Finally Total Harmonics Distortion (THD) generated by the inverter is compared with conventional proportional Integral controls (PI) and fuzzy controller is evaluated. The results are verified with the help of MATLAB/Simulink.
Scores, Camera, Action? Incentivizing Teachers in Remote Areas

Poor teacher accountability leads to poor education quality, especially in remotely-located schools that are costly to supervise. This paper reports the impacts of three interventions that linked community-based monitoring to a government allowance for teachers working in remote areas in Indonesia. In all treatments, the project helped communities to formulate a joint commitment between schools and community members to improve education. Teacher-specific scorecards were developed based on this commitment and performance was evaluated and disseminated by a newly-formed user committee. Treatments 2 and 3 added to this a pay for performance scheme that relied on the community reports. In Treatment 2 (SAM+Cam), the remote area allowance was made dependent on teacher presence, which was monitored with a camera with a time stamp. In Treatment 3 (SAM+Score), the overall score on the scorecard determined the allowance. We find improvements in learning outcomes across all treatments; however, the strongest impacts of between 0.17-0.20 standard deviation (s.d.) were observed for SAM+Cam. In this treatment, teachers increased teaching hours and parents increased investments in their children’s education. We show evidence that bargaining and the community’s propensity to punish free-riders may have a role in affecting treatment effectiveness. JEL Classifications: H52, I21, I25, I28, O15
UNCONDITIONALLY STABLE LEAPFROG ADI-FDTD METHOD FOR LOSSY MEDIA

This paper presents an unconditionally stable leapfrog alternating-direction-implicit finite-difference time-domain (ADIFDTD) method for lossy media. Conductivity terms of lossy media are incorporated into the leapfrog ADI-FDTD method in an analogous manner as the conventional explicit FDTD method since the leapfrog ADI-FDTD method is a perturbation of the conventional explicit FDTD method. Implementation of the leapfrog ADI-FDTD method for lossy media with special consideration for boundary condition is provided. Numerical results and examples are presented to validate the formulation.
On ψ-Hilfer fractional differential equation with complex order

Fractional calculus deals with the study of fractional order integral and derivative operators over real or complex domains and some of their applications are in the area of fluid flow, control theory of dynamical systems, diffusive transport akin to diffusion, electrical networks, probability and statistics, viscoelasticity, electrochemistry of corrosion, dynamical processes in self-similar and porous structures, optics and rheology etc. There has been significant development in fractional differential equations in recent year (see [1]-[6]) The generalization of Riemann-Liouville and Caputo fractional derivatives was introduced by R. Hilfer [1] in 1999. A significant development and interest has been shown by many researchers. Vanterler et al. interpolated HFD and ψ-fractional derivative is called as ψ-HFD [7]. This fractional derivative is different from the other classical fractional derivative because the kernel is in terms of function. The study on ψ-HFD with classical properties and interpolation of many fractional derivatives. Alternatively, the stability problem of functional equations initiated form a question of Ulam, created in 1940, relating to the stability of group homomorphism. In the next year, Hyers gave a partial affirmative respond to the question of Ulam in the background of Banach spaces that was the opening momentous breakthrough and a step towards more solutions in this area. In view of the fact that a large number of papers have been published in connections with various generalizations appeared devoted to the data dependence in the theory of fractional differential equations [8]-[11]. Inspired by the above discussion, we introduce complex order to ψ-HFD and we establish the existence, uniqueness and stability of solutions. Consider the differential equations with ψ-HFD with complex order of the form