Miracle-dz/UniFAR-FTUs huggingface dataset:
In Vitro Anti-Inflammatory, Lipoxygenase, Xanthine Oxidase And Acetycholinesterase Inhibitory Activity Of Tecoma Stans (L.) Juss. Ex Kunth

The ethanol, methanol and water extracts of Tecoma stans effective against tested for antiinflammatory activity, lipoxygenase, xanthine oxidase and acetycholinesterase inhibitory activity. The methanol, ethanol and water extracts showed in vitro anti-inflammatory activity by inhibiting the heat induced albumin denaturation is 86.32, 83.81, 61.39 g/ml and red blood cells membrane stabilization with 71.29, 67.78, 54.48 g/ml respectively. Proteinase activity was also significantly inhibited by the methanol (83.91), ethanol (81.88) and water (61.73). In addition, the methanol and ethanol extracts showed anti-lipoxygenase activity range from 39.32-58.92. The study also showed that methanol and ethanol fractions exhibited a moderate xanthine oxidase inhibitory activity comparatively to the acetylcholinestearse which was weakly inhibited by the tested extracts. The results obtained in the present investigation indicate that methanol and ethanol extracts of T. stans can be a potential source of antiinflammatory agents. PHARMACOLOGY
Identification of Bots in Social Networks based on Data Mining Technologies

This article solves the problem of intelligent models constructing and their accuracy evaluating for identifying bots in social networks. The relevance of solving this problem is noted. The construction and accuracy assessment of the neural network model, decision tree and linear regression are performed. The initial data source was Twitter social network. To collect the initial data, we used our own database, consisted of 3428 users, about half of which contained characteristic features of bots. The initial data were randomly divided into the training and testing sets, each of them included approximately 50% of the records. 15 attributes were used as the model ’ s input parameters, in particular, the number of symbols in the username, the user’s number of tweets, the number of readers, etc. The models construction and study was carried out on the Deductor analytical platform base. Each model was tested on data set consisted of 1719 records. For all models, the corresponding classification matrices were constructed and the first, second kind errors and the general model’s error were calculated. In terms of minimizing these errors, the neural network model showed the best results, and the linear regression model showed the worst. This allowed us to conclude, that in order to minimize classification errors, it is advisable to use a neural network model. This indicates its effectiveness and the possibility of practical use in intelligent decision-making support systems for bots identifying in social networks.
Influence of nitrogen forms and levels on the growth and nutrition of cacao

ABSTRACT Ammonium and nitrate are the major forms of nitrogen (N) present in tropical soils. An experiment was conducted to assess the influence of nitrate and ammonium forms (NO3−, NH4+, and mix of NO3− + NH4+), and levels (1.5–12.0 mM) of N on the growth and nutrition of cacao (Theobroma cacao L). Growth parameters were significantly influenced by N forms, and nitrogen supplied as NH4+ proved better for the growth of cacao compared with NO3− form and mixtures of these two forms. Irrespective of the forms of N, levels of N had no significant effect on plant growth parameters. Nutrient efficiency ratios (NERs) (shoot dry matter produced per unit of nutrient uptake) for macronutrients were sulfur>phosphorus>calcium>magnesium>nitrogen>potassium (S>P>Ca>Mg>N>K) and for micronutrients NERs were in the order of copper>boron>zinc>iron>manganese (Cu>B>Zn>Fe>Mn).
VARIABLES RELACIONADAS CON EL NÚMERO Y ELECCIÓN DE LAS REDES SOCIALES DE LOS HOTELES ANDALUCES DE 4 Y 5 ESTRELLAS

La gestión de las redes sociales se ha convertido en un factor clave para el turismo. Los contenidos generados en las mismas pueden condicionar la elección por parte de los turistas, la reputación online, las ventas, e incluso la supervivencia de un establecimiento hotelero. A través del estudio de 503 hoteles andaluces de 4 y 5 estrellas, nuestro trabajo analiza la totalidad de redes sociales presentes en sus páginas web oficiales, así como los posibles factores (número de estrellas, modalidad, antigüedad, tamaño y pertenencia a cadena) que pueden influir en el número y la elección de estas.
Flexural performance of reinforced concrete beams containing treated attapulgite as lightweight aggregate

The amount of the dead load caused by the weight of the structural concrete elements can be reduced when using lightweight aggregate in addition in saving in construction cost. Flexural behavior tests were conducted on five simply supported singly rectangular reinforced concrete (RC) beams of lightweight coarse aggregate concrete subjected to four points bending test up to failure. Lightweight coarse aggregate was produced from natural material locally available (Attapulgite) by burning it at 1100°C for 30 minutes and treating it with sodium hypochlorite of 6% concentration for 24 hour. The effect of silica fume replacement ratios (10 and 20%) by weight of cement and steel fiber content (0.5 and 1%) of volume fraction were investigated. The Attapulgite concrete mechanical properties were determined, as well as the flexural performance for the tested beams is evaluated in terms of cracking and ultimate load capacity, load-deflection relationships, failure mode and crack pattern. The test results show that treating the Attapulgite with sodium hypochlorite enhances the compressive strength of the concrete by about 18%. Adding silica fume and steel fiber contribute to enhance the mechanical properties of Attapulgite lightweight concrete. Significant warning of failure was observed for all beams, and 80 % of the total load capacity was achieved after the cracking load. The beam of 1% steel fiber fraction had the largest experimental ultimate load capacity in this study. All tested beams exhibited a typical tension failure.
Data Capitalism: Efficiency as a sociability degree function

O objetivo deste artigo é abordar a relação entre sociabilidade e eficiência nos modelos de IA, em como a economia contemporânea trouxe a noção de eficiência para nossas vidas pessoais. Inicialmente, introduzimos os conceitos básicos de três conceitos principais do artigo: capitalismo de dados, dados e aprendizado profundo. A seguir, descrevemos a evolução exponencial da tecnologia de armazenamento, processamento e transmissão, mostrando que, ao longo dos anos, a capacidade de transformar dados analógicos em dados digitais aumentou exponencialmente. Essa capacidade aumentou a eficiência dos processos operacionais com a medida de eficiência calculada e controlada contra o potencial máximo dos dados digitais produzidos nessas interações. Para empresas tradicionais, competir com rivais digitais envolve re-arquitetar a organização e o modelo operacional da empresa. A compartimentalização em silos compromete a eficiência dos modelos de acionamento AI que exigem base de dados integrada. A transformação digital requer um enorme investimento em gerenciamento, tempo e recursos financeiros. No entanto, é a única maneira de permanecer competitivo e sobreviver no mercado do século XXI. O compromisso de identificar e medir as preferências e hábitos do usuário e, em seguida, prever o comportamento, é a lógica por trás das plataformas e aplicativos de tecnologia, redes sociais online, comércio eletrônico e mecanismos de pesquisa. As plataformas digitais são projetadas para estender a vida útil de seus usuários, gerando maior envolvimento e mais dados. A originalidade deste artigo é correlacionar sociabilidade e eficiência econômica no atual ambiente de negócios com uma abordagem tecnológica e social. ABSTRACT
Categorization of process names

The categorization of processes according to their functionality is a key point to understand, how the user spent his or her time working with a computer. This task is not trivial due to the limited textual information available with applications. The existing approaches of this area commonly use predefined categories or clusterization techniques for applications, not processes. These techniques also do not describe the choice of these particular categories. In this paper, we describe our approach for the categorization of process names and explain, why we choose the set of categories we used. We evaluated the proposed approach on our collected data and got 81% correctly classified processes.
Enhancing the Catalysis of Oxygen Reduction Reaction via Tuning Interfacial Hydrogen Bonds

Proton activity at the electrified interface is central to the kinetics of proton-coupled electron transfer (PCET) reactions for making chemicals and fuels. Here we employed a library of protic ionic liquids in an interfacial layer on Pt and Au to alter local proton activity, where the intrinsic ORR activity was enhanced up to 5 times, exhibiting a volcano-shaped dependence on the pKa of the ionic liquid. The enhanced ORR activity was attributed to favorable proton transfer kinetics for strengthened hydrogen bonds between the ionic liquid to the ORR product with comparable pKa. This proposed mechanism was supported by in situ surface-enhanced Fourier-Transform Infrared Spectroscopy and our simulation of PCET kinetics based on computed proton vibrational wavefunction at the H-bond interface. These findings highlight opportunities in using non-covalent interactions of hydrogen bond structures and solvation environments at the electrified interface to tune the kinetics of ORR and beyond.
La metáfora biológica en la obra de Manuel González Prada

Manuel González Prada is one of the most important Latin American authors. He used the biological metaphor to criticize Peruvian society in the late nineteenth century. The metaphor of disease, animal and plant are three kinds of analog procedures that González Prada uses according to a naturalistic vision, heiress of Spencer's evolutionism. González Prada questions the imitation and lack of stylistic precision of writers in the nineteenth century, as well as conceiving that Peru is a sick organism.
Differences in Upper Quarter Y Balance Test Performance According to Playing Position in Youth Handball Players

Objective Handball is an Olympic intermittent sport with different playing positions that can be differentiated between first line players who positions themselves near the 6-m line and second line players who typically play outside the 9-m space. Additionally, goalkeepers have a distinctive role as they mostly only play within their own 6-m space. The objective of the study was to assess whether the specific physiological positional demands in handball lead to functional performance differences between the playing positions in terms of shoulder mobility and stability in any reach direction as assessed through the Upper Quarter Y Balance Test (YBT-UQ). Results No significant differences in any reach direction of the YBT-UQ were found between the playing positions, irrespective of reach arm and reach direction. The obtained effect sizes (ηp2) were solely small and ranged between . 003 and . 030.
A Single-Input Multiple-Output Unity Power Factor Rectifier

The increasing consumer electronics, most of which are natively dc loads, demand efficient power conversion from input ac grid to dc loads. Good power quality and unity power factor (UPF) for maintaining a stable grid can be achieved using power factor correction (PFC) circuits. This article proposes a family of single-input multiple-output (SIMO) rectifiers, which can provide one dc output higher and multiple dc outputs lower than the peak voltage of the ac input. Compared to separate conventional rectifiers at every point-of-load, each with a boost-based PFC circuit followed by a buck converter, the proposed topology requires a less number of switches and has inherent shoot-through protection. In this article, the operation of an N-output (N-switch) rectifier is explained, and its general large-signal and small-signal models are developed. It is further illustrated using a single-input dual-output (SIDO) rectifier. Of the two dc outputs, one dc output voltage is higher, and one is lower than the peak voltage of the ac input. The small-signal model and the control scheme to enforce output voltage regulation and UPF operation are discussed. Experimental results are provided to validate the proposed topology and the control scheme.
On the role of stablecoins in cryptoasset pricing dynamics

We examine the interactions between stablecoins, Bitcoin, and a basket of altcoins to uncover whether stablecoins represent the investors’ demand for trading and investing into cryptoassets or rather play a role as boosting mechanisms during cryptomarkets price rallies. Using a set of instruments covering the standard cointegration framework as well as quantile-specific and non-linear causality tests, we argue that stablecoins mostly reflect an increasing demand for investing in cryptoassets rather than serve as a boosting mechanism for periods of extreme appreciation. We further discuss some specificities of 2017, even though the dynamic patterns remain very similar to the general behavior. Overall, we do not find support for claims about stablecoins being bubble boosters in the cryptoassets ecosystem.
Internet of nano things

Интернет нановещей — следующий эволюционный этап в развитии интернета вещей, нанотехнологий и средств коммуникации между различными датчиками и сенсорами. В статье дается краткий обзор современного состояния концепции интернета нановещей и ее реализации, а также тех вызовов и проблем, которые требуют решения для того, чтобы интернет нановещей стал для доступен для широкого круга потребителей.
Impact of heat transfer on MHD boundary layer of copper nanofluid at a stagnation point flow past a porous stretching and shrinking surface with variable stream conditions

In this paper, the effects of MHD boundary layer on a stagnation point flow and heat transfer over a porous stretching/shrinking surface in nanofluids are analyzed. The resulting system is then solved numerically by Maple 18 software. It is concluded that the magnetic field can be used as a means of controlling the heat transfer characteristics in the presence of copper nanofluid.
Análise comparativa de plataformas baseadas em Cloud para o desenvolvimento de aplicações IoT

O uso da Internet das Coisas (IoT) é crescente e plataformas de IoT baseadas na nuvem são um componente fundamental das aplicações de IoT. Existem diversas plataformas com diferentes funcionalidades, capacidades, preços e limitações. Neste cenário como escolher a plataforma mais adequada? Quais critérios utilizar nesta escolha? Este trabalho realiza análise comparativa de um conjunto de plataformas IoT com arquitetura baseada na nuvem através de um método consistente e bem definido. Além de ser mais atual que a literatura atualmente disponível, o trabalho considera um maior número de critérios de comparação que a literatura correlata apresentando informações valiosas para a comunidade envolvida com IoT.
Network Pharmacology Integrated Molecular Docking Reveals The Mechanism of Huanglian Wendan Decotion Against Metabolic Syndrome

Background: Metabolic syndrome (MetS) is a group of abnormalities which includes abdominal obesity, hypertension, insulin resistance, and dyslipidemia. Many clinical studies showed that Huanglian Wendan Decoction(HWD) is effective in the treatment of MetS.Methods: In this study, the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, STITCH database and Swisstargetpredicition database were used to excavate the active components of HWD and to predict the potential targets. The key targets of MetS are screened through GeneCards database and DisGeNET database. Moreover, we obtained the overlapping target of HWD and MetS based on venndiagram of "R program". Next, we performed enrichment analysis for common-target network and protein-protein interaction (PPI) network. Afterwards, Cytoscape was used to construct the components-targets core network for HWD in treating MetS, and R program was used to perform GO-BP and KEGG pathway enrichment analysis on these core targets. Last, we further investigated our predictions of crucial targets by performing molecular docking studies with components of HWD.Results: The component-target core network of HWD against MetS was screened to contain 22 active components, which corresponded to 77 core targets. Additionally, enrichment analysis suggested that targets of HWD against MetS were mainly clustered into multiple biological processes (response to nutrient levels, gland development, response to steroid hormone, cellular response to oxidative stress, reproductive structure development etc and related pathways (AGE-RAGE, AMPK, JAK-STAT, MAPK), indicating the underlying mechanisms of HWD on MetS. The results of molecular docking showed that beta-sitost, naringenin, berberine and baicalein bound well to IL6 and AKT1.Conclusion: The network pharmacological strategy integrated molecular docking to explore the mechanism of HWD against MetS. Our present outcomes might shed light on the further clinical application of HWD on MetS treatment.
Does Sukuk financing boost economic growth? Empirical evidence from Southeast Asia

Purpose This paper aims to investigate empirically whether Sukuk financing is boosting the economic growth in Southeast Asia within the framework of the endogenous growth model. Design/methodology/approach This paper applied dynamic panel one-step system generalized method of moments as an optimal estimation approach to investigate the impact of Sukuk financing on economic growth in Southeast Asia spanning from 2013Q4–2019Q3. Sukuk financing was proxied by the total issued Sukuk holdings, while economic growth was proxied by gross domestic product. The sample covered all full-fledged Islamic financial institutions in the most developed Sukuk financial markets countries in Southeast Asia (Malaysia, Indonesia and Brunei). Findings The findings demonstrated that Sukuk financing is boosting economic growth in Southeast Asia, which reflects the significant role of the Islamic financial markets of Sukuk as a vital contributor to economic growth. Practical implications This paper would fill the literature by investigating the link between Sukuk financing and economic growth in Southeast Asia within the framework of the endogenous growth model, as the outcome of this paper serves as a guide for financial researchers, decision-makers and policymakers to improve the Sukuk market globally as an alternative financing source for the best contribution to economic growth. Originality/value This paper is the first that investigates empirically the link between Sukuk financing and economic growth in Southeast Asia with a new theoretical context of the endogenous growth model to gain robust information about this link.
Improving Image Transmission by Using Polar Codes and Successive Cancellation List Decoding

This paper investigates the transmission of grey scale images encoded with polar codes and de-coded with successive cancellation list (SCL) decoders in the presence of additive white Gaussian noise. Po-lar codes seem a natural choice for this application be-cause of their error-correction efficiency combined with fast decoding. Computer simulations are carried out for evaluating the influence of different code block lengths in the quality of the decoded images. At the encoder a default polar code construction is used in combination with binary phase shift keying modulation. The results are compared with those obtained by using the clas-sic successive cancellation (SC) decoding introduced by Arikan. The quality of the reconstructed images is assessed by using peak signal to noise ratio (PSNR) and the structural similarity (SSIM) index. Curves of PSNR and SSIM versus code block length are presented il-lustrating the improvement in performance of SCL in comparison with SC.
Construction and Evaluation of Information Granules: From the Perspective of Clustering

While granular computing has experienced rapid growth in the past decades and some milestones have been reached, a comprehensive study of the representation capabilities delivered by numeric prototypes and granular prototypes produced by different techniques still calls for comprehensive research and a comparative analysis. Well-constructed information granules are reflective of the nature of the numeric evidence and serve as backbones of granular classifiers and granular models. The objective of this study is to review a number of clustering paradigms aimed at the construction of information granules, discuss the development of granular prototypes, and conduct a comprehensive evaluation of quality of numeric prototypes and their corresponding augmentations coming in the form of granular prototypes. We have been witnessing many studies devoted to the construction of information granules, but a comparative analysis of the quality of information granules constructed on a basis of prototypes produced by different clustering algorithms is still lacking. In this regard, the review of the clustering algorithms supporting the formation of information granules and the comprehensive comparative study of their usefulness in classification and modeling tasks offered in this study make sense. This will promote the usage of information granules in various future works, especially classification problem and system modeling.
Ensemble Method to classify multi class with concept drift

Real world scenarios is expected to have more number of classes, evolution of new class, change in concept, different distribution of data etc., This paper focus on the joint problem of multi class imbalance problem and different types of concept drift detection. The proposed work Enhanced Concept drift based Resampling ensemble (ECDRE) algorithm addresses the combined issues of Multi Class Imbalance problem with different types of Concept Drifts using the Ensemble Relearning Model. In this framework, EMUOB and EMOOB algorithm helps to re-balance the multi class distribution of the latest block. Window based strategy is used to classify the multi class imbalance dataset with different types of drifts. A group of classifiers form an ensemble and members belonging to the ensembles are updated frequently, where weights are calculated to emphasis misclassification cost. Meanwhile, ECDRE is swiftly adaptable to new conditions. Observed studies proof that ECDRE algorithm is more effective for learning non-stationary environment which suffers from multi class imbalance with different types of concept drift. CDRE algorithm was implemented to deal with multi-class problem and concept drift, but it is not much efficient to handle all types of concept drift. Even in situations of Data Streams which suffer from drifts such as real, virtual and recurring types, ECDRE works well and shows overall better results of above 80% accuracy.
Germanium modified BaTiO3 as a promising electroceramics

ABSTRACT The polycrystalline sample of BaTi0.95Ge0. 05O3 was prepared by solid-phase reaction using a conventional method. The morphology of investigated sample was characterised by scanning electron microscopy (SEM). The results allowed to determining the stoichiometry of the material and evaluate their microstructure. High quality samples were investigated, the grains are well shaped without of a glassy phase. The dielectric properties of the BaTi0.95Ge0. 05O3 ceramics were determined. The results were compared with these ones obtained for pure BaTiO3. The obtained data indicated that the substitution of Ge+4 ions had an influence on the values of the real (ϵ′) and imaginary (ϵ″) parts of electric permittivity.