Miracle-dz/UniFAR-FTUs huggingface dataset:
Exploring the Relationship Between the Indices of Body Composition With Grip Strength Performance and Peak VO2

Background The importance of measurements of body composition in terms of various indices including Body Mass Index (BMI), Body Surface Area (BSA), Body Size Index (BSI), and Waist to Height ratio (WtHR) in the diagnosis of health risks and mortality outcome analysis has largely been limited to their use relating to determining abdominal obesity. The understanding of the extent of implications of the newer, underutilized indices of body composition is deficient. Peak VO2 (maximal oxygen uptake) majorly serves for the evaluation of the measure of aerobic capacity. Grip strength performance is a simple, primary, objective predictor of overall physical status and muscular and cardiovascular fitness. This study aimed to derive the relationship between a gamut of parameters such as BMI, BSA, WtHR, BSI, grip strength performance and peak VO2 investigated using the latest scientific methodology in a cross-section of the population in a rural tertiary care center. Methodology This study was a descriptive, cross-sectional study carried out in a rural medical college in central India. Sixty participants from the healthcare setting were considered eligible for the study within the age group of 18 to 45 years. Anthropometric assessments like height (in cm), weight (in kg), waist circumference (in cm), and BMI were carried out. BSA, WtHR, and BSI were calculated using the respective formulae. VO2 max (maximal oxygen uptake) recordings were done using the treadmill/ergometer and metabolic module of LabChart software (Bella Vista, New South Wales, Australia). Grip Strength Performance was quantified by measuring the amount of static force with which the hand is able to squeeze a transducer. It was measured using Grip Force Transducer (MLT004 / ST) from AD Instruments (Bella Vista, New South Wales, Australia). Results Upon analysis, a signiﬁcant negative correlation was obtained between BSI and BMI (r= -0.51, p<0.0001) whereas a significant positive correlation was found between BSA and BMI (r= 0.71, p< 0.0001). A significant correlation was also seen between WtHR and BMI (r= 0.71, p< 0.0001) while a negative significant correlation between peak VO2 and BMI (r= -024,p=0.0425) was deduced. Similarly, a negative correlation was evident between BSA and BMI (r= -0.46, p=0.0002) with a positive correlation between WtHR and BSA (r= 0.30,p=0.0188). Grip strength performance positively correlated with BSA (r= 0.58, p< 0.0001) whereas peak VO2 showed a significant negative correlation with WtHR (r= -026,p=0.043). There was also a positive significant correlation between grip strength performance and peak VO2 (r= 0.37, p=0.0033) Conclusion The study determined the relationships of grip strength performance and peak VO2, with the body composition indices in order to provide an overview of the mortal risks of an individual which might mediate the prognosis. Based on the relative independence of BSI with peak VO2 and grip strength performance, the unification of these parameters can help assess the overall health of an individual.
Several Characteristics of Oidiodendron maius G.L. Barron Important for Heather Plants’ Controlled Mycorrhization

Oidiodendron maius G.L. Barron is a recognized fungal species capable of forming ericoid mycorrhiza with various positive effects on host plants; therefore, newly found and previously uncharacterized O. maius strains may be valuable for heather plants’ controlled mycorrhization. Characteristics of the O. maius F3860 strain were studied, i.e., mycelium growth on various nutrient media and the ability to secrete auxins and enzymes. O. maius F3860 grew rapidly on malt extract agar and potato dextrose agar. It was also able to grow on nutrient media suitable for heather plant cultivation. The presence of the flavonoids rutin and quercetin increased the mycelium growth rate compared to the control, starting from the 8th to the 13th days of cultivation. The ability to secrete auxins was confirmed with bioassay and thin-layer chromatography, and their content, as well as phytase activity, was estimated spectrophotometrically. Both in nutrient media with tryptophan and without it, O. maius F3860 secreted about 6 μg IAA/mL growth medium. O. maius F3860 possessed extracellular phytase, protease, and phenol oxidase activities. The investigation indicates O. maius F3860’s promise for heather seedling inoculation as an approach to increase their fitness.
New passivity criteria for discrete-time neural networks with leakage and time-varying delays

Abstract. In this paper, the problem of passivity of discrete-time neural networks with leakage and time-varying delays is investigated. By constructing a novel Lyapunov-Krasovskii functional and reciprocally convex method, some sufficient passivity conditions are obtained in the forms of linear matrix inequalities. In order to illustrate the effectiveness of the proposed results, a numerical example is presented.
Stacking ensemble transfer learning based thermal displacement prediction system

Abstract In the precision machining industry, machine tools are usually affected by various factors during machining, and various machining errors generated accordingly. Where thermal error is one of the most common and difficult to control factors for machine tools. Therefore, in this study, six temperature sensors and an eddy current displacement meter are provided in a machine tool with 4-axis for dataset collection required for the model training, then data are organized and normalized. Next, data are introduced into a variety of learning models and validated by k-Fold cross-validation for predicting those nonlinear factors that affect the errors. At the end, predicted results are summarized and compared to find out the best two model with better predictive performance for pre-trained model of transfer learning. It observes better predicted results from a retraining conducted through applying Multilayer Perceptron (MLP) on these two pre-trained models, wherein MAE value as 0.40, RMSE as 0.52625 and R2 score as 0.99696 respectively.
Gap functions and Hausdorff continuity of solution mappings to parametric strong vector quasiequilibrium problems

In this paper, we consider parametric strong vector quasiequilibrium problems in Hausdorff topological vector spaces. Firstly, we introduce parametric gap functions for these problems, and study the continuity property of these functions. Next, we present two key hypotheses related to the gap functions for the considered problems and also study characterizations of these hypotheses. Then, afterwards, we prove that these hypotheses are not only sufficient but also necessary for the Hausdorff lower semicontinuity and Hausdorff continuity of solution mappings to these problems. Finally, as applications, we derive several results on Hausdorff (lower) continuity properties of the solution mappings in the special cases of variational inequalities of the Minty type and the Stampacchia type.
Young adults’ job satisfaction in Poland and the Czech Republic: a comparative analysis

Motivation: Job satisfaction as an attitude that reflects an evaluation judgment of the various aspects of a job is an essential factor influencing employees as well as employers. The well-being of individuals, activity in the labor market, productivity, and turnover are examples of effects of job satisfaction. The inclusion of the circumstances of Poland and the Czech Republic countries and additionally young generations (GenY and GenZ) context enables the formulation of practical implications for increasing job satisfaction for both employers and employees in CEE countries.Aim: The research aims to identify factors that shape job satisfaction patterns among young adults, including age as an indicator variable in Poland and the Czech Republic. The identification is based on the two separate ordered logit models estimated in the group of young adults ages 18–29. The models were built upon the data collected in 2021 in a survey using the CAWI technique on a sample of 304 respondents in Poland and 259 in the Czech Republic.Result: The results of the logit models estimation indicate that job satisfaction in Poland and the Czech Republic is determined by various sets of factors considered in four dimensions, i.e., behavioral, economic, educational, and socio-demographic. Substantial differences between young adults in both countries were recognized. The greatest impact on job satisfaction in Poland has the willingness to control expenses and wage satisfaction. In the Czech Republic, job satisfaction is most strongly influenced by the imposition of rules that discipline expenditure and wage satisfaction.
Primary Capacities as a Predictor of Perceived Stress, Anxiety, and Depression in the Pandemic Crisis of Covid-19

Fifty years of worldwide success of Positive Psychotherapy practice suggested that primary capacities, postulated by prof. Nossrat Peseschkian, are reliable criteria to diagnose the integration level of personal psychological functioning. If this assumption is correct, then the higher level of integration of primary capacities should correlate with better adaptability, and inversely the lower level of integration should correlate with a higher level of perceived stress, anxiety and depression under the pressure of crisis, such as the COVID-19 pandemic. To test this hypothesis, we surveyed internationally 1165 respondents, collecting data on emotional reactions and coping strategies engaging primary capacities of personality structure. As a result of this research, we discovered that a lower integration level of 4 out of 8 primary capacities, namely: ideal, trust, love, and time significantly correlate with a higher level of perceived depression, anxiety and stress. Those results support our initial hypothesis that the lower level of primary capacities would allow a higher level of depression and anxiety.
Saturation-aware control design for micro–nano positioning systems

This study proposes a non-linear saturation-aware controller for dual-stage micro–nano actuators. Dual-stage motion systems use two actuators in series in order to achieve an improved performance: a micro actuator responsible for a large range of actuation, and a nano actuator (NA) able to achieve a high bandwidth. The NA is commonly driven by flexure-based piezoelectric actuators subject to a limited range which presents large oscillations in the presence of output saturation. In order to avoid these oscillations, a non-linear smooth switching function that limits the actuation of the NA to only track references within its range is proposed. Experimental results demonstrate the effectiveness of the proposed approach, which is able to reduce oscillations and energy consumption without compromising settling time performance.
A Technical Concept for sensor-based Trafﬁc Flow Optimization on connected real-world intersections via a SUMO Feature Gap Analysis

: Trafﬁc within cities has increased in the last decades due to increasing mobility, changing mobility behavior and new mobility offerings. These accelerating changes make it increasingly difﬁcult for responsible authorities or other stakeholders to predict mobility behavior, to conﬁgure t rafﬁc ru les or to si ze ro ads, br idges an d pa rking lots. Trafﬁc simulations are a powerful tool for estimating and evaluating current and future mobility, upcoming trafﬁc services and automated functionalities in the domain of trafﬁc management . For being able to simulate a complex real-world trafﬁc environment and trafﬁc incidents, the simulation environment needs to fulﬁll requirements from real-world scenarios related to sensor-based data processing. In addition, it must be possible to include latest advancements of technology in the simulation environment, for instance, (1) connected intersections that communicate with each other, (2) a complex and ﬂex-ible set of rules for trafﬁc sign c ontrol and trafﬁc ma nagement or a well-deﬁned data processing of relevant sensor data. In this paper we therefore deﬁne requirements for a trafﬁc simulation based on a complex real-world scenario in G ermany. The project addresses major urban challenges and aims at demonstrating the contribution that the upcoming 5G mobile generation can make to solving real-time trafﬁc ﬂow optimization. In a second step, we investigate in detail if the simulation environment SUMO (Simulation of Urban Mobility) fulﬁlls t he p ostulated r equirements. T hirdly, w e p ropose a technical concept to close the gap of the uncovered requirements for later implementation.
Migration Activities, Household Characteristic and Child Health in Indonesia

This paper investigates the impact of household characteristics on child health outcomes in Indonesia using Indonesian family Life Survey. This paper using birth wage, infant mortality and Z score to represent child health. Using Random effect method and random effect probit method, this paper found sending migrant household have larger amount of infant mortality case than non-sending migrant household. According to that findings we know that sending migrant household dominated by families with low incomes. However, we also find food consumption have influence of child health in the families. These results provide a broader view of the economic characteristics of households and their consequences for infant health than is offered by the existing literature.Keywords: The authors are requested to supply 3-5 Keywords, separated by a comma, that can be used for indexing/abstracting purposes.
Direct search for dark matter with the DarkSide experiment

A wide range of observational evidence suggests that the matter content of the Universe is dominated by a non-baryonic and non-luminous component: dark matter. One of the most favoured candidate for dark matter is a big-bang relic population of Weakly Interacting Massive Particles (WIMPs). The DarkSide program aims to the direct detection of WIMPs with a dual-phase liquid argon TPC and a background free exposure. The first phase of the experiment, DarkSide-50, is running since Oct 2013 and has (46 ± 0.7) kg active mass. A first run, with an atmospheric argon fill (AAr), provided the most sensitive limit ever obtained by an argon-based experiment. The current run, with an underground argon fill (UAr, depleted in 39Ar), represents a milestone towards the construction of DarkSide-20k, a low-background dual-phase TPC with a fiducial mass of 20 t. This work is been mainly devoted to the description of G4DS, the DarkSide Monte Carlo simulation, and to its applications. G4DS is a GEANT4-based simulation, it provides the geometry description of each detector of the DarkSide program, it is tuned to reproduce the DarkSide-50 response at the percent level and incorporates a custom model for ionisation and scintillation mechanisms in liquid argon, tuned on real data. The principal applications of the simulation include the estimate of the neutron and gamma backgrounds for DarkSide-50, the measurement of the 39Ar depletion factor in UAr with respect to AAr and the design studies for DarkSide-20k.
An IDS Alerts Aggregation Algorithm Based on Rough Set Theory

Within a system in which has been deployed several IDS, a great number of alerts can be triggered by a single security event, making real alerts harder to be found. To deal with redundant alerts, we propose a scheme based on rough set theory. In combination with basic concepts in rough set theory, the importance of attributes in alerts was calculated firstly. With the result of attributes importance, we could compute the similarity of two alerts, which will be compared with a pre-defined threshold to determine whether these two alerts can be aggregated or not. Also, time interval should be taken into consideration. Allowed time interval for different types of alerts is computed individually, since different types of alerts may have different time gap between two alerts. In the end of this paper, we apply proposed scheme on DAPRA98 dataset and the results of experiment show that our scheme can efficiently reduce the redundancy of alerts so that administrators of security system could avoid wasting time on useless alerts.
Guidelines for the Growth of Smes in the Thai Sports Industry

Purpose: The aim of this study is to examine the variable factor of the guidelines for the growth of SMEs in the thai sport industry and develop a structural equation model. Theoretical framework: The concept of competitive advantage Porter (1980) stated that competitive advantage is a strategy to gain competitive advantage over competitors. The organization can differentiate from competitors in 3 aspects, namely cost leadership strategy; differentiation strategy and a strategy to focus on specific markets. Design/methodology/approach: The mixed research methodology was employed by starting with qualitative research based on in-depth interviews with nine experts to create tools for quantitative research and conducting a group discussion with 11 experts to find a consensus on the model of this research. Research, Practical & Social implications: The research is useful for small and medium-sized enterprises in the sports industry business development approach. Leading to creating a competitive advantage in Thailand and to international business.
Vasodilating Effects of Antispasmodic Agents and Their Cytotoxicity in Vascular Smooth Muscle Cells and Endothelial Cells—Potential Application in Microsurgery

This study aimed to elucidate the vasodilatory effects and cytotoxicity of various vasodilators used as antispasmodic agents during microsurgical anastomosis. Rat smooth muscle cells (RSMCs) and human coronary artery endothelial cells (HCAECs) were used to investigate the physiological concentrations and cytotoxicity of various vasodilators (lidocaine, papaverine, nitroglycerin, phentolamine, and orciprenaline). Using a wire myograph system, we determined the vasodilatory effects of each drug in rat abdominal aortic sections at the concentration resulting in maximal vasodilation as well as at the surrounding concentrations 10 min after administration. Maximal vasodilation effect 10 min after administration was achieved at the following concentrations: lidocaine, 35 mM; papaverine, 0.18 mM; nitroglycerin, 0.022 mM; phentolamine, 0.11 mM; olprinone, 0.004 mM. The IC50 for lidocaine, papaverine, and nitroglycerin was measured in rat abdominal aortic sections, as well as in RSMCs after 30 min and in HCAECs after 10 min. Phentolamine and olprinone showed no cytotoxicity towards RSMCs or HCAECs. The concentrations of the various drugs required to achieve vasodilation were lower than the reported clinical concentrations. Lidocaine, papaverine, and nitroglycerin showed cytotoxicity, even at lower concentrations than those reported clinically. Phentolamine and olprinone show antispasmodic effects without cytotoxicity, making them useful candidates for local administration as antispasmodics.
HPPLO-Net: Unsupervised LiDAR Odometry Using a Hierarchical Point-to-Plane Solver

High-precision LiDAR odometry (LO) plays an essential role in autonomous driving. Generally, due to inaccurate data associations and the existence of outliers, it is a challenging task to estimate ego-motions reliably and efficiently given sparse and complexly distributed point clouds in outdoor environments. In this article, we propose an unsupervised method for LiDAR odometry, named HPPLO-Net, to predict the relative pose of a LiDAR sensor in a hierarchical way. Specifically, we achieve accurate 6-DoF (Degree of Freedom) pose estimation between the source and target point clouds using a differentiable Point-to-Plane solver with the assistance of scene flow. The novel Point-to-Plane solver consists of a multi-scale aggregation (MSA) normal estimation layer and a differentiable weighted Point-to-Plane SVD module. The MSA layer is introduced to find reliable normal vectors of the pseudo target point cloud by aggregating multi-scale contextual information. The differentiable weighted Point-to-Plane SVD is embedded in the network to solve the pose matrix and alleviate the problem of lacking accurate data association in two LiDAR scans, which exists in the point-to-point alternatives. To reduce the impact of noises and outliers, our method can learn and update the inlier mask and the (residual) flow uncertainty at each layer of the hierarchy. We demonstrate the effectiveness of our method on the KITTI Odometry Dataset, Ford Campus Vision and Lidar DataSet, and the Apollo-SouthBay Dataset. Our method has achieved superior performance than recent unsupervised learning-based methods and some traditional geometry-based methods and has also achieved promising performance close to A-LOAM with mapping optimization.
A Preliminary Analysis of the Relationship Between the Common Octopus (Octopus vulgaris) Juveniles Abundance and Environmental Parameters off the Moroccan Coast

In the Moroccan ecosystem, Octopus vulgaris population shows high seasonal and interannual variability. Understanding the processes that influence octopus abundance is important in order to manage the fishing grounds and offer advice on the exploitation of this important resource. Fluctuations in the abundance of exploited stocks may be due to a great variety of factors. However, in short-lived animals such as octopuses, in which abundance depends on the strength of the recruitment, it is well known that population abundance is highly influenced by environmental conditions.
Convergence to Zero of Quadratic Lyapunov Functions for Multiagent Systems in Time-Varying Directed Networks

The quadratic Lyapunov function-based method for consensus analysis of discrete-time single-integrator multiagent systems (MASs) in general time-varying directed networks is not well developed, whereas for continuous-time cases remains blank. This note develops this method for both discrete-time and continuous-time MASs with a constant-gain protocol when the network is uniformly strongly connected. By proving the convergence to zero of quadratic Lyapunov functions, we first establish the exponential consensus convergence results for single-integrator MASs in general time-varying directed networks. Then, we show the proposed method can be applied to the consensus analysis of continuous-time MASs with relative-state-dependent noises. Finally, simulation examples are given to illustrate the effectiveness of the proposed method.
Impacts of Whole-Body Vibration on Muscle Strength, Power, and Endurance in Older Adults: A Systematic Review and Meta-Analysis

Background: Randomized clinical trials (RCTs) were conducted to identify the effectiveness of whole-body vibration (WBV) on strength, power, and muscular endurance in older adults. However, the results of different studies are contradictory. Objective: To verify the impacts of the WBV on strength, power, and muscular endurance in older adults. Methods: The search was carried out in PubMed, Embase, CENTRAL, CINAHL, SPORTDiscus, Web of Science, LILACS and PEDro databases. Methodological quality was assessed using the PEdro scale. Meta-analysis calculations were performed using the standardized mean difference, comparing WBV with control groups and WBV with other types of exercise. Results: Thirty-four studies were included in the current systematic review. Most studies (56%) had low methodological quality (PEDro score < 6). WBV, compared with control groups, has significant effects on muscle strength of knee extensors and flexors, lower limb extensors, and ankle plantar flexors. There were no differences between WBV and other types of exercise. Subgroup analyzes demonstrated that, in general, the significant results observed in the primary analyzes were not dependent on body position during vibration, kind of vibration, cumulative dose or magnitude of WBV. Conclusion: WBV was effective in increasing lower limb muscle strength. However, no significant results were observed for upper limb strength, lower limb power, and lower and upper limb muscle endurance in older adults. However, more studies are needed to better understand the physiological impacts of WBV in older.