Miracle-dz/UniFAR-FTUs huggingface dataset:
Dekompozicija dinamičnih površinskih elektromiogramov s prilagodljivo obtežitvijo prispevkov motoričnih enot

Analysis of electromyograms (EMG) is of great importance in neurophysiology, rehabilitation, neurology, ergonomics and prosthetics. In the last decade, method called Convolution Kernel Compensation (CKC) was developed in System Software Laboratory at the Faculty of Electrical Engineering and Computer Science, University of Maribor. This method successfully decomposes surface EMG signals into contributions of individual motor units. It has been extensively tested in different experimental conditions and has proven to be very efficient in the case of isometric muscle contractions. However, in dynamic muscle contractions, geometrical deformations of muscle tissue severely affect performance of CKC method. In this manuscript, we study surface EMG in dynamic muscle contractions and introduce new surface EMG decomposition approach. The algorithm builds on dynamical weighting of contributions from individual motor units in CKC and adapts very well to the dynamic changes of motor unit action potentials. In moderate dynamic contractions of vastus lateralis muscle of three healthy young subjects the method accurately identified firing patterns of 6.3 ± 1.3 motor units per contraction.
Improvement of regression with unlabeled data

: This paper studies a technique to improve regression with unlabeled data. The key idea of our proposal is that the semi-supervised learning can be recasted as a regression problem under covariate shift. The weighted likelihood approach is a natural choice for estimating regression parameters under covariate shift. Literature [9] showed that the optimal choice of weight function is the ratio of labeled data density to unlabelled data density. In application of this idea to our setting, the optimal weight function is trivially taking always the value one. However, our proposal is to discard this optimal weight function and to estimate it. This is deeply related to the work by [5]. The resultant algorithm is shown to perform well by some experiments.
Efficacy of Balloon Blowing Exercise on Peak Expiratory Flow Rate in Young Adult Smokers

Background Smoking cigarettes which progressively impairs the lung functions is a leading risk factor for early death and disability worldwide. Alternate use of the tobacco products along with some exercise practicing behaviour help to prevent the impairment of lung function because most smokers fail to cease smoking. The objective of this research was to find out the effectiveness of the balloon blowing exercise among the young adult smokers using the peak expiratory flow meter. Methods A quasi- experimental study in which 100 male participants were included according to inclusion and exclusion criteria. Pre-test and Post-test was taken using Peak expiratory flow meter, after intervention is provided. Results The mean appraise of the Group A pre-test was 287.1 and the post-test was 283.2, and the mean appraise of the Group B pre-test was 279.7 and the post-test was 367.2. The significant appraise was . 581 for Group A and . 000 for the Group B since the p < 0.05. The study shows the significant result as the p appraise is less than 0.05. Conclusion This study concludes that there was a significant increase in the peak expiratory flow rate in the post test of Group B.
miRNA‐216 knockdown has effects to suppress osteosarcoma via stimulating PTEN

Abstract The aim of this study is to explain the effects and mechanism of miRNA‐216 in osteosarcoma. We firstly evaluated the PTEN expression in 30 pairs of tumor and adjacent tissues which were from the 30 osteosarcoma patients. In the following cell experiments, we measured the cell proliferation, cell cycle, cell invasion, and migration abilities of NC (normal control) group, BL (blank) group, siRNA (miRNA‐216 inhibitor) group, and siRNA+PTEN inhibitor group. Furthermore, we measured the relative protein expression of difference groups by WB to explain the mechanism of miRNA‐216 in osteosarcoma. The PTEN was confirmed the target gene of miRNA‐216 by double luciferase target test. In conclusion, miRNA‐216 was an oncogene in osteosarcoma. miRNA‐216 knockdown had effects to suppress cancer cell proliferation, invasion and migration and improve cell apoptosis by keeping in G1 phase via PTEN.
Eucommia ulmoides leaf extract alters gut microbiota composition, enhances short‐chain fatty acids production, and ameliorates osteoporosis in the senescence‐accelerated mouse P6 (SAMP6) model

Abstract The bark and the leaf of Eucommia ulmoides Oliv. content similar bioactive components, but the leaf of this medically important plant is mostly abandoned. In this study, we revealed that the aqueous extract of E. ulmoides leaf (EUL) can promote the growth of the probiotic Lactobacillus bulgaricus (LB) and inhibit the formation of osteoclast in vitro. This extract was next administrated to senescence‐accelerated mice P6 to evaluate examine its influence on the composition of gut microbiota (GM), short‐chain fatty acids (SCFAs), and osteoporosis (OP). The results showed that supplementation of the EUL aqueous extract to the mouse model: (a) increased bacterial diversity and Firmicutes/Bacteroidetes ratio in the gut, (b) increased SCFAs concentration in the feces and serum, and (c) ameliorated OP based on the results of bone mineral density (BMD), Dual‐energy X‐ray bone scan, and HE staining of distal femur.
Determinants of stunting during the first 1,000 days of life in Bangladesh: A review

Abstract Stunting is a major problem in Bangladesh, with a prevalence of 31% in 2017. The prevalence of stunting in children aged under two has reduced by only 6% since 2004. After children reach 2 years of age, the consequences of stunting become almost irreversible. This paper seeks to examine and analyze the determinants associated with stunting during the first 1,000 days of life in Bangladesh to assist in developing evidence‐based interventions in Bangladesh. A literature review was conducted comprehensively on all relevant peer‐reviewed and gray literature of studies conducted in Bangladesh. The existing literature was searched and examined using the World Health Organization (WHO) conceptual framework for stunting. Evidence indicates that low maternal weight, lack of maternal education, severe food insecurity, lack of access to suitable nutrition, nonexclusive breastfeeding, pathogen‐specific diarrhea, and low weight and height at birth are associated with early childhood stunting in Bangladesh. The relation of the quality of drinking water with stunting is not clear in Bangladesh. Literature about the association between stunting and determinants such as the political economy, education systems, and agriculture and food systems is not found. This synthesis shows that the factors of stunting are multifaceted. As such, a multi‐sectoral approach is essential in Bangladesh, employing evidence‐based interventions to address the determinants that contribute to the risk of stunting to achieve the global nutrition target by 2025.
Polystyrene nanoplastics accumulate in ZFL cell lysosomes and in zebrafish larvae after acute exposure, inducing a synergistic immune response in vitro without affecting larval survival in vivo

The presence of small-sized plastic particles in marine and freshwater environments is a global problem but their long-term impact on ecosystems and human health is still far from being understood. Nanoplastics (<1000 nm) could pose a real and uncontrolled ecological challenge due to their smaller size and sharp ability to penetrate living organisms at any trophic level. Few studies evaluate the impact of nanoplastics in vivo on the immune system of aquatic organisms, while most of them assessed the impact on indirect markers of immune response such as regulation of gene expression, ROS production or DNA genotoxicity, among others. Moreover, the study of the effects of nanoplastics on aquatic vertebrate species in vivo is still scarce. In this context, we seek to shed light on the underlying effects of polystyrene nanoplastics (PS-NPs) on the immune response in a model fish species (Danio rerio, zebrafish) after an acute exposure, with a combination of in vitro and in vivo experiments. Our results show that PS-NPs (65 nm) are efficiently taken up by zebrafish liver cells, accumulating mainly in lysosomes. Furthermore, the expression of immune genes presents a synergy when cells were simultaneously exposed to PS-NPs, at a low dose and early time point (12 h) and challenged with a viral stimulus (poly(I:C)). Moreover, zebrafish larvae also internalize PS-NPs, accumulating them in the gut and pancreas. However, at concentrations of up to 50 mg l−1 in an acute exposure (48 h), PS-NPs do not interfere with the survival of the larvae after a lethal bacterial challenge (Aeromonas hydrophila). This study addresses the relevant environmental question of whether a living organism exposed to PS-NPs can cope with a real immune threat. We show that, although PS-NPs can induce an immune response, the survival of zebrafish larvae challenged with a bacterial infection after an acute exposure to PS-NP is not decimated with respect to unexposed larvae.
The fruticose genera in the Ramalinaceae (Ascomycota, Lecanoromycetes): their diversity and evolutionary history

Abstract We present phylogenetic analyses of the fruticose Ramalinaceae based on extensive collections from many parts of the world, with a special focus on the Vizcaíno deserts in north-western Mexico and the coastal desert in Namibia. We generate a four-locus DNA sequence dataset for accessions of Ramalina and two additional loci for Niebla and Vermilacinia. Four genera are strongly supported: the subcosmopolitan Ramalina, the new genus Namibialina endemic to SW Africa, and a duo formed by Niebla and Vermilacinia, endemic to the New World except the sorediate V. zebrina that disjunctly occurs in Namibia. The latter three genera are restricted to coastal desert and chaparral where vegetation depends on moisture from ocean fog. Ramalina is subcosmopolitan and much more diverse in its ecology. We show that Ramalina and its sister genus Namibialina diverged from each other at c. 48 Myrs, whereas Vermilacinia and Niebla split at c. 30 Myrs. The phylogeny of the fruticose genera remains unresolved to their ancestral crustose genera. Species delimitation within Namibialina and Ramalina is rather straightforward. The phylogeny and taxonomy of Vermilacinia are fully resolved, except for the two youngest clades of corticolous taxa, and support current taxonomy, including four new taxa described here. Secondary metabolite variation in Niebla generally coincides with major clades which are comprised of species complexes with still unresolved phylogenetic relationships. A micro-endemism pattern of allopatric species is strongly suspected for both genera, except for the corticolous taxa within Vermilacinia. Both Niebla and saxicolous Vermilacinia have chemotypes unique to species clades that are largely endemic to the Vizcaíno deserts. The following new taxa are described: Namibialinagen. nov. with N. melanothrix (comb. nov.) as type species, a single new species of Ramalina (R. krogiae) and four new species of Vermilacinia (V. breviloba, V. lacunosa, V. pustulata and V. reticulata). The new combination V. granulans is introduced. Two epithets are re-introduced for European Ramalina species: R. crispans (= R. peruviana auct. eur.) and R. rosacea (= R. bourgeana auct. p.p). A lectotype is designated for Vermilacinia procera. A key to saxicolous species of Vermilacinia is presented.
Effect of Different Land use Practices on Earthworm Abundance and Soil Properties

The aim of our study was to evaluate the density and species richness of earthworm and physicochemical properties of soil in different land use systems. The study was carried out in Sambalpur district of western Odisha. Soil sampling was carried out in between the months of June 2019 to December 2019 from natural forest site, agriculture systems, pasture land and 15 year fallow lands. Earthworm collection and soil characteristics were done as per TSBF Protocol (Anderson and Ingram, 1994). A total 7 species have been found from the selected land use study sites including seven family namely Megascolecidae, Acanthodrilidae, Canthodrilidae, Almidae, Moniligastridae with two new species identified after Julka and Senapati (1989) from Sambalpur districts namely Drawida japonica and Glyphidrilus tuberosus. Highest species richness of earthworm was recorded agricultural land followed by fallow land and least numbers earthworms were encountered in the forest present at Chandili dangri hill slope. Highest density (Ind m) and Species richness, moisture content, pH, OC, Potassium, Phosphorus content was observed in crop land soil followed by fallow land. All the studied parameters were least in sloppy forest sandy soil. High decomposition and mineralization of SOC in surface soil during previous year cropping and accumulation of soil nutrients with the age of fallow period might have made the soil favourable for earthworm species. Therefore, encouraging farmers to return agricultural residues to decompose in their fields and keeping the abandoned crop land fallow could improve soil quality parameters for higher earthworm density and sustainable production.
MULTI-MODAL EVENT TOPIC MODEL FOR EVENT TRACKING

In Social media documents or any document collected from Google contains certain events having long text. Due to variety of uploaded information over internet it is required to model them with appropriate images associated with story of particular event. Variety of text is considered to be different but the images are same for those events. Because may they have different textual information but the visual modalities are always same. Multimodal event topic model is proposed in this paper. Which can effectively model these events having so many images and text and find correlation between them. For evaluating the results we have prepared our own dataset which contains almost 5000 records related to stocks. For event tracking in case of multiple events, similarity computing identification method is used. For various documents rather multiple documents this method can be used to distribute topics in the document. For feature extraction Affinity Proportion Algorithm is suggested in this paper. For dataset parsing instead of XML parsing JSON parsing is used which can parse the entries for data efficiently. And in fast manner it can parse the dataset values. So Multi-modal topic model can effectively track the bunch of events over the time.
Modèle de turbulence explicite algébrique dédié aux écoulements soumis à la flottabilité

Résumé Un modèle de turbulence prenant en compte les effets de flottabilité a été développé. L’hypothèse d’équilibre local à l’origine des modèles algébriques a été validée sur des DNS de canal plan vertical différentiellement chauffé pour les différents régimes de convection. Deux modèles explicites algébriques, dynamique et thermique, ont été modifiés pour inclure la flottabilité. De plus, ces deux modèles ont été étendus à la région de paroi. Enfin, ils ont été couplés afin de prendre en compte le couplage des champs dynamique et thermique induit par la flottabilité. Les premiers résultats sont encourageants pour tous les régimes de convection.
The (Subjective) Well-Being Cost of Fiscal Policy Shocks, WP/20/5, January 2020

Do discretionary spending cuts and tax increases hurt social well-being? To answer this question, we combine subjective well-being data covering over half a million of individuals across 13 European countries, with macroeconomic data on fiscal consolidations. We find that fiscal consolidations reduce individual well-being in the short run, especially when they are based on spending cuts. In addition, we show that accompanying monetary and exchange rate policies (disinflation, depreciations and the liberalization of capital flows) mitigate the well-being cost of fiscal consolidations. Finally, we investigate the well-being consequences of the two wellknowns expansionary fiscal consolidations episodes taking place in the 80s (in Denmark and Ireland). We find that even expansionary fiscal consolidations can have well-being costs. Our results may therefore shed some light on why some governments may choose to consolidate through taxes even at the cost of economic growth. Indeed, if spending cuts are to generate a large well-being loss, they can trigger an opposition and protest against a fiscal consolidation plan and hence making it politically costly. JEL Classification Numbers: D69; E62; H20; H5; I3; N10
Impact of BTI-Induced Threshold Voltage Shifts in Shoot-Through Currents From Crosstalk in SiC MOSFETs

In this article, a method for evaluating the implications of threshold voltage (<italic>V<sub>TH</sub></italic>) drift from gate voltage stress in SiC <sc>MOSFET</sc>s is presented. By exploiting the Miller coupling between two devices in the same phase leg, the technique uses the shoot-through charge from parasitic turn-<sc>on</sc> to characterize the impact of bias temperature instability (BTI)-induced <italic>V<sub>TH</sub></italic> shift. Traditional methods of BTI characterization rely on the application of a stress voltage without characterizing the implication of the <italic>V<sub>TH</sub></italic> shift on the switching characteristics of the device in a circuit. Unlike conventional methods, this method uses the actual converter environment to investigate the implications of <italic>V<sub>TH</sub></italic> shift and should therefore be of more interest to applications engineers as opposed to device physicists. Furthermore, a common problem is the underestimation of the <italic>V<sub>TH</sub></italic> shift since recovery from charge detrapping can mask the true extent of the problem. The impact of temperature, the recovery time after stress removal, and polarity of the stress has been studied for a set of commercially available SiC <sc>MOSFET</sc>s.
A Comprehensive Survey on Outlier Detection Methods

: In ancient days, outlier is viewed as noisy data in statistics, has turned out to be a vital problem which is being researched in different fields of application domains. Outlier detection is a primary step in many scientific research studies, because it has a negative impact on the results. Visual inspection alone cannot always identify an outlier and it can lead to mislabelling an observation as an outlier. Using a specific function of the observations leads to a superior outlier labelling rule. The estimation of parameters with classical measures such as mean is highly sensitive to outliers. Statistical methods were developed to accommodate outliers and to reduce their impact on the analysis. Numerous outlier detection methods have been developed specific to certain application domains, while few methods are more general. Outlier detection has been explored in a much broader area including discriminant analysis, experimental design, multivariate data, linear models etc. There are various approaches to outlier detection depending on the application and number of cases/variables in the data set. An attempt has been made to review the outlier detection methods which are entrenched and commonly used now-a-days. This paper provided a survey on the structure of existing outlier detection methodologies.
Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles

This brief addresses the position and attitude tracking fixed-time practical control for quadrotor unmanned aerial vehicles (UAVs) subject to nonlinear dynamics. First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. Then, a fixed-time adaptive law is proposed for neural networks to achieve fixed-time stability, and convergence time is dependent only on control gain parameters. Based on Lyapunov analyses and fixed-time stability theory, it is proved that the fixed-time adaptive neural network control is finite-time stable and convergence time is dependent with control parameters without initial conditions. The effectiveness of the NN fixed-time control is given through a simulation of the UAV system.
School Promotion to Smoking-Related Knowledge, Attitude, Self-Efficacy and Practice of Sundanese Students in Indonesia

The impact of smoking is both a threat and challenge to the nation. Schools have particular advantage for educational initiatives because they have access to students and can encourage them to develop knowledge, attitude and practice concerning a healthy lifestyle. This research was conducted in the intervening program based on reducing or preventing smoking initiation. The design was quasi-experimental study, while data was analyzed inferentially using One Way ANOVA of Dependent Groups/Within Subjects and Independent Group/Between Subjects. Data analysis was assisted by using software STATA 12.0. The results showed the health education intervention affected positive changes in knowledge, attitude, self-efficacy, and practice either in Intervention 1 and 2 groups, even in the Control Group, slight behavior changes were found due to factors of school policy. Meanwhile, the best changes that linearly increased through three time measurements in variables of knowledge, attitude, self-efficacy, and practice were found in the Intervention 1 Group. It can be concluded that policy factors determine the success of health promotion and education. On one hand, schools are under the Department of Education and Culture, while community activities are referred to the Department of Home Affairs. Therefore, improved cooperation between these two relevant departments is needed to regulate smoking and enhance the implementation of smoking prevention policies in schools.
ELEMENT MIMO ANTENNA WITH NOTCH BAND CHARACTERISTICS FOR WLAN APPLICATIONS

In this paper, a 4 x 4 element wide band (UWB) multiple-input multiple-output (MIMO) antenna is proposed. The total size of the proposed antenna is 40 x 40 x 1.6 mm 3 . The antenna elements are placed orthogonal to each other. A CSRR shape like elliptical slot is etched on the radiating element to achieve dual band notch characteristics at WiMAX 4.8 GHz regions. The proposed antenna operates from 4.8 to 9.2 GHz, which exhibits a reflection coefficient of S11< -10 dB and has isolation better than 20 dB. Envelope correlation coefficient (ECC) mutual coupling performance of the presented antenna is around 0.01 to 0.02 at the operating bands.