Miracle-dz/UniFAR-FTUs huggingface dataset:
a influência de três diferentes intervalos de recuperação entre séries com cargas para 10 repetições máximas

the influence of three different rest intervals between sets in loads to 10 repetitions maximum abstract - This study had as objective to investigate the influence of three different rest intervals on the performance of the muscular force in different exercises. Participate in this experiment 30 men (31,13±9,99 years), active physically. In the first visit, the 10RM was done, and after 48h a retest of 10RM. The 10RM test follows the same order: bench press (BP), leg extension (LE) and biceps curl (BC). After that, the individuals were divided in three groups (G1, G2 and G3) and were tested only in one rest interval during 4 sets each day, always the same exercise order. The two ways ANOVA repeated measures with Tukey post hoc. The one way ANOVA for repeated measure was used to verify the total volume by each exercise in the sum of all 4 sets in three rest intervals. Comparing the total number of repetitions of the three exercises, all the comparative series to 1a series had presented reduction in the number of repetitions. The total volume was bigger in 120 s (p<0.05). These dates suggest that rest intervals of 45, 90 and 120 s, showed repetitions reduction with the sets evolution, in all rest intervals evaluated. The sum of all repetitions by exercise, in all sets is affected for three rest
Proportional Resonant Control With Phase Correction for Stability and Dynamics Enhancement Under Low Carrier Ratio Conditions

Phase-corrected proportional resonant (PCPR) current controllers are mainly studied under high carrier ratio conditions. When applied to high-power converters with low carrier ratios, the system could be unstable or have poor dynamics without a proper parameter design. In order to illustrate both stability and dynamics to guide parameter design, bilateral Bode plots are tailored in this article that considers the correct negative jump direction at resonant frequencies. Then, this analysis tool verifies the feasibility of the phase correction angle set over 90°, especially under a carrier ratio below six. With the designed phase correction, the stability region of the carrier ratios is characterized as extending to the theoretical limit of one. Moreover, the resonant gain of PCPR is quantitatively designed considering the variation of carrier ratios by maximizing the bandwidth under guaranteed stability and margins. Finally, the simulations and experiments verify the enlarged stability region with the phase correction and improved dynamic performance with the proposed resonant gain design method.
Implementation of high‐order variational models made easy for image processing

High‐order variational models are powerful methods for image processing and analysis, but they can lead to complicated high‐order nonlinear partial differential equations that are difficult to discretise to solve computationally. In this paper, we present some representative high‐order variational models and provide detailed descretisation of these models and numerical implementation of the split Bregman algorithm for solving these models using the fast Fourier transform. We demonstrate the advantages and disadvantages of these high‐order models in the context of image denoising through extensive experiments. The methods and techniques can also be used for other applications, such as image decomposition, inpainting and segmentation. Copyright © 2016 John Wiley & Sons, Ltd.
Providing best practices for the management of ST-segment elevation myocardial infarction (STEMI): Pharmacoinvasive strategies

Although primary PCI remains the preferred strategy for the treatment of STEMI, the lack of expanded PCI centers and prolonged transfer times have resulted in delayed reperfusion and thus increased mortality. A pharmacoinvasive strategy involving immediate fibrinolysis followed by transfer to a PCI center to perform angiography (and PCI of infarct-related arteries) within 2 and 24 hours after successful fibrinolysis offers immediate reperfusion and better outcomes in patients in whom primary PCI could not be achieved in a timely manner without an increase in bleeding complications. The article summarizes the evidence for this approach in terms of efficacy and safety
First Steps towards a near Real-Time Modelling System of Vibrio vulnificus in the Baltic Sea

Over the last two decades, Vibrio vulnificus infections have emerged as an increasingly serious public health threat along the German Baltic coast. To manage related risks, near real-time (NRT) modelling of V. vulnificus quantities has often been proposed. Such models require spatially explicit input data, for example, from remote sensing or numerical model products. We tested if data from a hydrodynamic, a meteorological, and a biogeochemical model are suitable as input for an NRT model system by coupling it with field samples and assessing the models’ ability to capture known ecological parameters of V. vulnificus. We also identify the most important predictors for V. vulnificus in the Baltic Sea by leveraging the St. Nicolas House Analysis. Using a 27-year time series of sea surface temperature, we have investigated trends of V. vulnificus season length, which pinpoint hotspots mainly in the east of our study region. Our results underline the importance of water temperature and salinity on V. vulnificus abundance but also highlight the potential of air temperature, oxygen, and precipitation to serve as predictors in a statistical model, albeit their relationship with V. vulnificus may not be causal. The evaluated models cannot be used in an NRT model system due to data availability constraints, but promising alternatives are presented. The results provide a valuable basis for a future NRT model for V. vulnificus in the Baltic Sea.
Ursolic Acid against Prostate and Urogenital Cancers: A Review of In Vitro and In Vivo Studies

Prostate cancer is the second most diagnosed form of cancer in men worldwide and accounted for roughly 1.3 million cases and 359,000 deaths globally in 2018, despite all the available treatment strategies including surgery, radiotherapy, and chemotherapy. Finding novel approaches to prevent and treat prostate and other urogenital cancers effectively is of major importance. Chemicals derived from plants, such as docetaxel and paclitaxel, have been used in cancer treatment, and in recent years, research interest has focused on finding other plant-derived chemicals that can be used in the fight against cancer. Ursolic acid, found in high concentrations in cranberries, is a pentacyclic triterpenoid compound demonstrated to have anti-inflammatory, antioxidant, and anticancer properties. In the present review, we summarize the research studies examining the effects of ursolic acid and its derivatives against prostate and other urogenital cancers. Collectively, the existing data indicate that ursolic acid inhibits human prostate, renal, bladder, and testicular cancer cell proliferation and induces apoptosis. A limited number of studies have shown significant reduction in tumor volume in animals xenografted with human prostate cancer cells and treated with ursolic acid. More animal studies and human clinical studies are required to examine the potential of ursolic acid to inhibit prostate and other urogenital cancers in vivo.
Digital twin framework for real-time dynamic analysis visualization with detecting dynamic changes in structures properties using PINN

This study developed a framework for real-time dynamic analysis of structural members using physics-informed neural networks (PINN). The interest in the use of augmented reality (AR) and virtual reality (VR) technologies to visualize the results of simulations is now increasing, and many researches are taking efforts to make these simulations more interactive and real-time. However, the application of structural dynamic simulations is limited due to its high computational cost. In this study, the Physics-informed neural networks (PINN) was used to conduct the real-time vibration analysis of a cantilever beam as a basic investigation. Prior to the real-time simulation, a PINN model for solving the cantilever beam undamped free vibration problem was constructed. Sequential trainings and predictions for the real-time simulation were then implemented at fine increment time steps by PINN. The distributions of displacement and bending moment, which were the outputs of the PINN simulations were visualized in AR on the real beam with converting the outputs to color contour for intuitive understanding. The RS framework based on PINN simulation and AR was then recognized to lead to the RS with data assimilation for real-time evaluation of structural condition using measurement data.
Extinction probabilities in predator–prey models

Two stochastic models are developed for the predator-prey process. In each case it is shown that ultimate extinction of one of the two populations is certain to occur in finite time. For each model an exact expression is derived for the probability that the predators eventually become extinct when the prey birth rate is 0. These probabilities are used to derive power series approximations to extinction probabilities when the prey birth rate is not 0. On comparison with values obtained by numerical analysis the approximations are shown to be very satisfactory when initial population sizes and prey birth rate are all small. An approximation to the mean number of changes before extinction occurs is also obtained for one of the models.
Exosomes loading Tapasin enhance T cell immune response by autophagy to inhibit HBV replication

Hepatitis B virus (HBV) specific T cell immune response plays a vital role in viral clearance. Dendritic cell derived exosomes (Dexs) can activate T cell immunity effectively. Tapasin (TPN) is involved in antigen processing and specific immune recognition. In the present study, we elucidated that Dexs loading TPN (TPN‐Dexs) could enhance CD8+ T cell immune response and inhibit virus replication in HBV transgenic mice. T cell immune response and the ability of inhibiting HBV replication were measured in HBV transgenic mice immunized with TPN‐Dexs. Meanwhile, CD8+ T cell autophagy and specific T cell immune responses were measured in vitro and vivo, and the mechanisms probably involved in were explored. Purified TPN‐Dexs could be taken up into the cytoplasm of DCs and upregulate CD8+ T cell autophagy to enhance specific T cell immune response. In addition, TPN‐Dexs could increase the expression of AKT and decrease the expression of mTOR in CD8+ T cells. Further research confirmed that TPN‐Dexs could inhibit virus replication and decrease the expression of HBsAg in the liver of HBV transgenic mice. Nevertheless, those also could elicit mice hepatocytes damage. In conclusion, TPN‐Dexs could enhance specific CD8+ T cell immune responses via the AKT/mTOR pathway to regulate the autophagy and exert the antiviral effect in HBV transgenic mice.
Reliability Enhancement by Doping Boron and Fluorine in Lightly Doped Drain Region of High-Voltage FinFET

This study focuses on the influence of boron doping in FinFET Lightly Doped Drain (LDD) region. By modulating the concentration of boron, the maximum of electric field can be reduced to improve the reliability in hot carrier stress (HCS), while the initial electric characteristics of boron doped devices do not change a lot, compared with those of the standard (STD) device. Even though Boron doping may cause slight decreases in transconductance (gm) and Ion, but it can effectively improve the reliability of the device. The reduction of the electric field affected by boron is demonstrated in the simulation. Careful adjustment is needed to prevent the maximum of the electric field from shifting to the other side of LDD and causing the rise of the electric field rise. In this study, the electric characteristic of LDD boron doping in FinFET structure is comprehensively analyzed.
Design of inverse kinematics algorithms: extended Jacobian approximation of the dynamically consistent Jacobian inverse

The paper presents the approximation problem of the inverse kinematics algorithms for the redundant manipulators. We introduce the approximation of the dynamically consistent Jacobian by the extended Jacobian. In order to do that, we formulate the approximation problem and suitably deﬁned approximation error. By the minimization of this error over a certain region we can design an extended Jacobian inverse which will be close to the dynamically consistent Jacobian inverse. To solve the approximation problem we use the Cholesky decomposition and the Ritz method. The computational example illustrates the theory.
A Low-Cost System for Far-Field Non-Anechoic Measurements of Antenna Performance Figures

Prototype measurements are the key step in the development of antenna structures. Typically, their far-field characteristics are validated in expensive, dedicated facilities such as open range sites, or anechoic chambers. Despite being necessary for obtaining high-precision data (e.g., for device qualification), the use of costly infrastructure might not be fully justified when the main goal of measurements includes demonstration of the methodology behind determination of the performance figures of interest (e.g., for the purpose of teaching), or rough validation of the EM simulation model correctness. From this perspective, systems for far-field measurements in non-anechoic environments represent an interesting alternative to the utilization of the state-of-the-art equipment and facilities. Despite their proven usefulness, the mentioned systems are normally constructed around the expensive, laboratory-grade equipment, which contradicts the whole concept of low-cost measurements. This paper discusses a cost-efficient, mobile system for experimental validation of antennas. Its main components include the in-house developed rotary heads, an open-hardware-based vector network analyzer, and the measurements post-processing software. The cost of the system amounts to only around 3630 USD. The capabilities of the device have been demonstrated through measurements of two antenna structures. The considered performance figures include radiation pattern and single-direction gain vs. frequency. Comparisons against the measurements performed in benchmark conditions (anechoic chamber), as well as using professional network analyzer have also been provided. Furthermore, the documentation that facilitates the construction of the system components is shared in an online repository.
Evaluating the Measurement Validity of Lifestyle Typologies with Qualitative Measures and Multiplicative Factoring

The validity of two lifestyle typologies, SRI's Values and Lifestyles system and the Lastovicka et al. Drinking-Driving typology, are examined empirically. Each typology is measured by three methods. One measurement method, characterized as “quantitative,” consists of statistical modeling of responses to Likert-type items collected in structured interviews. The two other measurement methods, characterized as “qualitative,” are judgmental codings of data collected from a schedule of open-ended and projective tasks conducted in face-to-face, in-home interviews. Two well-known methods, Campbell and Fiske's multimethod-multitrait approach and the analysis of covariance structures (LISREL) approach, are used to examine the convergent and discriminant validity of the lifestyle typologies. In addition, Browne's class of direct product factor models is introduced and applied. In contrast to the well-known LISREL approach, direct product models assume the effects of method factors on trait factors are multiplicative instead of additive.
A Bifilar Helices-Based Bidirectional Same-Sense Circularly Polarized Antenna With Wide Bandwidth and High Gain

This communication presents a novel bifilar helices-based bidirectional same-sense circularly polarized (CP) antenna. It consists of two conical bifilar helices with a back-to-back configuration and a wideband feeding network. Since the helices are identical and each of them radiates unidirectional CP waves, the proposed antenna is able to produce same-sense CP waves in opposite directions. For each helix, a pair of conformal fan-shaped structures are designed for impedance matching while they act as reflecting surfaces for generating endfire radiation. A parallel strip line is adopted to connect the two helices and provide differential feeds for them. Thanks to the wide band feature of both the bifilar helices and the feeding network, the proposed antenna exhibits superior bandwidth performance over the existing studies. In addition, due to the full metal structure, the dielectric loss can be avoided and thus the proposed antenna has the advantage of high gain. To validate the design idea, a prototype is fabricated by using metal 3-D printing technology. The experimental results show that the 3-dB axial ratio bandwidth (ARBW) is 40% from 1.9 to 2.86 GHz and the peak gain is 8 dBic.
Monitoring of fresh concrete exposed to various environmental conditions using Acoustic Emission (AE) and Digital Image Correlation (DIC)

Early-age concrete undergoes displacements and volume changes due to ongoing processes such as settlement, hydration, shrinkage, and cracking, which can strongly affect its durability and long-term performance. In this paper, fresh concrete is monitored by the non-destructive techniques of Acoustic Emission (AE) and Digital Image Correlation (DIC). Elastic waves released by the physical processes taking place while concrete is in a fresh state can be well-recorded by AE, while the three-dimensional strain and displacement evolution on the surface can be measured by DIC. Monitoring fresh concrete is of paramount importance to ensure the desired final mechanical properties, especially when novel admixtures for internal curing such as SuperAbsorbent Polymers (SAPs) are added to the mixture. SAPs are particles that can swell by absorbing water when exposed to it, and later release it back to the cementitious matrix when the internal relative humidity linked to the capillary pressure decreases, mitigating autogenous shrinkage. These admixtures strongly interact with the microstructure, resulting in an increased amount of AE activity. The motivation of this study is to obtain real-time information on the different ongoing processes in fresh concrete using AE and compare the results to concrete containing SAPs. Specimens are subjected to different environmental conditions, to monitor the changes in the SAP activity. Results are complemented by DIC to confirm the mitigation of shrinkage by the SAPs. The DIC results showed that SAPs mitigate settlement and shrinkage in early-age concrete, while AE showed SAP concrete exposed to windy conditions demonstrated a delay in the SAP activation, lower amplitude values and higher peak frequency values than the ambient SAP concrete.
A Bootstrap Aggregating Technique on Link-Based Cluster Ensemble Approach for Categorical Data Clustering

Although attempts have been made to solve the problem of clustering categorical data via cluster ensembles, with the results being competitive to conventional algorithms, it is observed that these techniques unfortunately generate a final data partition based on incomplete information. The underlying ensemble-information matrix presents only cluster-data point relations, with many entries being left unknown. The paper presents an analysis that suggests this problem degrades the quality of the clustering result, and it presents a BSA (Bootstrap Aggregation) is a machine learning ensemble meta-algorithm designed to improve the stability and accuracy along with a new link-based approach, which improves the conventional matrix by discovering unknown entries through similarity between clusters in an ensemble. In particular, an efficient BSA and link-based algorithm is proposed for the underlying similarity assessment. Afterward, to obtain the final clustering result, a graph partitioning technique is applied to a weighted bipartite graph that is formulated from the refined matrix. Experimental results on multiple real data sets suggest that the proposed link-based method almost always outperforms both conventional clustering algorithms for categorical data and well-known cluster ensemble techniques.
Study of the importance of protein needs for catch-up growth in Indonesian stunted children: a narrative review

Stunting is a chronic nutritional deficiency due to various adverse cross-sectoral environmental conditions, including food intake. This influences the linear growth and development of children’s brains and their cognitive function. Providing interventions to meet stunted children’s protein needs tends to prevent the further abnormal development of cognitive functions. High-protein foods are supplied from various edible local commodities in Indonesia. Therefore, this study aims to demonstrate the importance of feeding stunted children with high-protein diets and provide insight that local food ingredients in the country have growth-promoting potential. Through Google Scholar, PubMed, Science Direct, and Nature, 107 articles were obtained with keywords related to stunting, such as protein intake, catch-up growth + stunting, and adverse effect + catch-up growth. The preferred citations randomized-controlled trials and systematic reviews relevant to the study question were compiled using Mendeley version 1.19. 8. Based on the literature review results, stunting is hereditary and affects the quality of generations. The adequacy of protein needs is closely related to growth and development, hence, foods containing a high amount of the nutrient facilitate catch-up growth in stunted children. This conclusion is expected to provide information to policymakers and health agencies in the country concerning the education related to high nutritional local food, which can be reached by the community. Interventions with high-protein-containing local foods ought to be tailored to dietary needs and accompanied by monitoring for the presence or absence of unreasonable weight gain to prevent overweight or obesity.