Miracle-dz/UniFAR-FTUs huggingface dataset:
Pharmacological activity investigation of Callicarpa attenuate

Callicarpa attenuate plant extract used to assess its different biological activity. Extract was made by soaking the dried plant powder in methanol. After comparing with the standard we found that Methanol extract of the sample gave the activity against all the experimented microbes of ZI (zone of inhibition) against E. coli and B. subtillis. After performing the antioxidant, thrombolytic, antidiarrheal, hypoglycemic and cytotoxic activity assay of methanol extract of sample plant we saw that it has a good biological activity that can be used as a potential traditional medicine.
Janus Micelles

A novel strategy to synthesize amphiphilic surface-compartmentalized nanoparticles based on linear ABC triblock copolymers is presented. These so-called Janus micelles consist of a cross-linked core and a corona with a “northern” and a “southern” hemisphere. Selectively cross-linking spherical domains of the polybutadiene middle block in a well-ordered bulk morphology of a polystyrene-blockpolybutadiene-block-poly(methyl methacrylate) triblock copolymer (SBM) leads to the conservation of the compartmentalization of the outer blocks after dissolution of the material. Multi-angle laser light scattering gel permeation chromatography, fluorescence correlation spectroscopy, small-angle neutron scattering, and static and dynamic light scattering, as well as scanning force microscopy, indicate the existence of an equilibrium between molecularly dissolved Janus micelles (unimers) and aggregates (multimers), so-called supermicelles.
Stem Cell Death and Survival in the Regenerating Heart

1Feinberg School of Medicine, Feinberg Cardiovascular Research Institute, Northwestern University, Chicago, Illinois 2Department of Molecular Cell Biology, Vilnius University Institute of Biochemistry, Lithuania 3Experimental Laboratory of Institute of Biological and Health Sciences of Pontifical Catholic University of Parana, Curitiba 80215-901, Paraná, Brazil 4Cell Therapy and Biotechnology in Regenerative Medicine Research Group, Pequeno Príncipe Faculty, Pelé Pequeno Príncipe Institute, Curitiba 80250200, Paraná, Brazil 5National Heart and Lung Institute. Imperial College London, Imperial Centre for Experimental and Translational Medicine, Du Cane Road, London W12 0NN, UK
Effect of processing on physical characteristics of finger millet (Eleusine coracana) varieties

Finger millet is one of the important small millets cultivated in many South Asian and African countries. An investigation was undertaken to study the effect of processing on physical characteristics of finger millet varieties. Five varieties of finger millet namely GPU 66, GPU 67, GPU 71, MR 6 and PR 202 were investigated for their physical characteristics before and after processing such as malting and popping. Colour, 1000 seed weight, 1000 seed volume, hydration capacity, hydration index, swelling capacity, swelling index, specific gravity, bulk density, percent germination, malt recovery and percent popping were analysed for raw, malted and popped finger millet varieties. Among these physical characteristics 1000 seed weight, 1000 seed volume, hydration capacity, hydration index, swelling capacity, swelling index of germinated was found to be higher followed by raw and popped finger millet varieties. However the mean specific gravity and bulk density was found to be high in raw followed by malted and popped. The mean percent germination (99.0 %), malt recovery (82.0 %) and popping (76.0 %) was found to be higher in GPU 71.
Finding Product Problems from Online Reviews Based on BERT-CRF Model

Online product reviews contain a lot of valuable information regarding product problems, which are very useful for producers to find product pain points and improve product quality. However, many studies focus only on the sentiment polarity of the product aspect, ignoring specific product problem information in online reviews. In this paper, product aspects and specific problem information are extracted from online reviews to help producers find the specific pain points of products. We call this task Review Problem Mining (RPM). At the same time, existing methods of review information extraction depend heavily on manually constructed features or large-scale data. To address these limitations, we proposed a new joint model BERT-CRF which integrates the popular pre-trained language model BERT and conditional random fields (CRF). The proposed method introduces external knowledge through BERT to reduce the model’s dependence on training data and uses CRF to model the dependencies among tags. To verify the validity of our method, we constructed a dataset from JD.com and carried out the experiments. Experimental results show that the proposed method is highly effective.
Importance of micropropagation in pineapple for disease free plantlets and rapid multiplication

Pineapple (Ananas comosus) is a delicious tropical fruit with a superior flavor and high nutritive value. It is one of the most important commercial fruit crops in the world. Pineapple is propagated by vegetative means from basal, stem slip, and crown suckers with varying degrees of success. The traditional methods of propagation would take 8 years to obtain enough planting materials from one mother plant to plant just only a half hectare. Plant tissue culture methods have been successfully applied to pineapple and it is an efficient method for rapid in vitro clonal propagation. Micro-propagation of pineapple plants also has many advantages, such as, it allows rapid increase of selected varieties, overcomes serious diseases causing considerable production losses of pineapple at the time of planting material preparation disease free plants and increase the multiplication rate of elite genotypes.
Study of antimicrobial, antioxidant, Anti-inflammatory activities and phytochemical analysis of cooked and uncooked different spinach leaves

Spinach is a green leaf that grows in most parts of the world. In this paper a study has been carried on antimicrobial, antioxidant and anti-inflammatory activities and phytochemical analysis of cooked and uncooked spinach leaves. The Phytochemical analysis of carbohydrates, flavonoids, proteins, amino acids, steroids, tannins, anthroquinones, coumarin, saponins was carried out and this showed the presence of many bioactive compounds. The maximum total phenol content was found in cooked leaves of Alternanthera sessilis of 113.75 ± 0.05 µg GAE/mg dry extract followed by uncooked leaves of Tropical amaranth of 86.25 ± 0.14 µg GAE/mg dry extract. Spinach leaves showed effective and determinative antimicrobial activity against Staphylococcus aureus. The antioxidant activity showed the effective scavenging activity in cooked leaves of Moringa oleifera of 2.38 ± 0.21 µg/ml and poor scavenging activity was found in uncooked leaves of Alternanthera sessilis of 38.79 ± 0.33 µg/ml. The anti-inflammatory activity showed maximum inhibition in cooked leaves of Moringa oleifera of 51.38 ± 0.28 µg/ml and minimum inhibition in Alternanthera sessilis of 8.45 ± 0.24 µg/ml. These activities are useful for treating diseases and extracting drugs from spinach leaves.
MASTERARBEIT / MASTER’S THESIS

Okun’s Law is an inverse relationship between unemployment rate and economic growth. The idea of this thesis is to provide an econometric analysis of Okun’s Law for five EU-Candidate countries and Ukraine (potential candidate country). The study is based on new annual data set from 1999 to 2018. For the analysis we use the first difference method and gap method originally stated by Okun (1962). We apply Hodrick-Prescott filter to extract cyclical unemployment and cyclical output needed for the analysis using gap method. We also attempt to examine whether including additional lags to the models can stabilize the coefficients of the static models. The obtained results could explain the institutional differences in selected countries that determine the rigidity or flexibility of labor market.
An Evaluation of Neural Network Models for Toxic Comment Classiﬁcation

Today, online discussion has become an integral part of people’s interactions, e.g., through commenting interfaces as well as the various popular social media platforms. Alas, these channels also suffer from abuse in the form of online harassment through so-called toxic comments. In this paper we provide a systematic evaluation of neural network based text classiﬁers for the task of automatically detecting such toxic comments and classifying them according to the type of toxicity. We present a large-scale analysis of the sensitivity of the prevalent recurrent and convolutional neural network architectures to hyperparameters. We report a comprehensive experimental evaluation of those state-of-the-art models on the Kaggle Toxic Comment Classiﬁcation Challenge dataset. Our experiments provide practical insights into the relative importance of factors such as neural network type, pretrained embeddings, network depth, RNN cell type, attention, regularization and sensitivity to initialization. We ﬁnd that baseline convolutional and recurrent neural networks are competitive in terms of evaluation metrics. However, convolutional neural networks show less sensitivity to initialization and hyperparameter selection. A crucial aspect of neural network based classiﬁers is the use of pretrained embeddings which are most effective when trained on web-scale corpora.
Phytochemical estimation and in vitro antioxidant activity of rhizome of in vitro regenerated Zingiber zerumbet (L.) Sm.

Zingiber zerumbet (L.) Sm. is an important medicinal plant belongs to the family Zingiberaceae and it is commonly known as Bitter ginger, Pine cone ginger, Pine cone lilly. The present study aimed to estimate the phenols and flavonoids in the crude methanolic extract of rhizome and to assess the in vitro antioxidant activity by using 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2’-azino-bis (3-ethyl-benzothiazoline-6-sulfonic acid) (ABTS) radical assay. The phenols like gallic acid, hydroxyl benzoic acid, coumaric acid, vallinic acid and cinnamic acid and flavonoids like rutin, quercetin, kaempferol and luteolin were estimated with various quantities (mg/g). In vitro antioxidant activity of the extract was determined in terms of hydrogen donating or radical scavenging ability using the stable radicals DPPH and ABTS. IC50 values are 179µg/mL and 77µg/mL for DPPH and ABTS respectively. The findings of the phytochemical and antioxidant properties of the rhizome of in vitro regenerated plant are indeed highly valuable to promote the use Z. zerumbet as natural sources of phytochemicals and potential antioxidant.
IT RUNS IN THE FAMILY? THE ACQUIRER’S IMPACT ON THE BUSINESS NETWORK UPON ACQUISITIONS OF FAMILY FIRMS

This paper reviews the literature on acquisitions of family firms and present central topics in that research ad presents two cases of acquisition of family business. The review reveals that there is still a quite limited amount of research on acquisitions of family firms, and the business network dimension is basically non-existent. The paper points at that most studies focus on the inertia created as family firms are unwilling to divest, while it tells much less about the process following divestment decisions, the impact of new owners, and the network consequences. Contributions are made to the literature on network effects of mergers and acquisitions and to the broader acquisiton literature, where the main focus on large-scale, publicly traded fnirms’ transactions, mean that family firms constructs a specific setting.
Exogenous application of osmoprotectants for improving crop physiological parameters and seed yield of rice under high temperature stress

An investigation was conducted during summer season of 2016-17 and 2017-18 in the Department of Seed Science and Technology, College of Agriculture, OUAT, Bhubaneswar to study the role of osmoprotectants on rice crop physiology and seed yield under high temperature stress. Rice variety Naveen (120 days duration) was chosen for the experiment. The experiment was laid out in SPD, the main plot factor being date of sowing (D1 – 30th November, D2 – 15th December and D3 – 30th December) and the sub-plot factor being foliar spray of chemicals at vegetative and seed filling stage. The foliar sprays included Glycine betaine 600 ppm (T1), Salicylic acid 400 ppm (T2), Salicylic acid 800 ppm (T3), Ascorbic acid 10 ppm + Citric acid 1.3% (T4), α-Tocopherol 150 ppm (T5), KCl 1% (T6), Brassinolides 5 ppm (T7) and Brassinolides 10 ppm (T8). One control (T0) was also taken in which equal volume of water was sprayed. Significantly higher superoxide dismutase (SOD), peroxidase and catalase activity of leaves, proline content of leaves, pollen viability and seed set were recorded from leaves of first date of sowing both at vegetative and seed filling stages, as compared to the second and third dates of sowing. The treatments T2 and T8 were most effective in increasing the pollen viability to almost at par with the Control from the first date of sowing (D1T0). Similar trend was observed with regards to percent seed set and 1000-seed weight. Highest seed yield was obtained from the first date of sowing, while it declined as the sowing was delayed. Among the treatments, T8 and T3 gave the highest seed yields (5243 kg/ha and 5195 kg/ha, respectively), followed by T2 and T4 (5193 kg/ha and 5147 kg/ha, respectively). The treatments T2 and T8 gave highest harvest index as compared to untreated control. From the experiment, it can be concluded that rice seed production is adversely affected under heat stress leading to lower seed yield and quality. Spray of chemicals such as Salicylic acid 400 ppm, Salicylic acid 800 ppm, Brassinolides 10 ppm or Ascorbic acid 10 ppm + Citric acid 1.3% at vegetative and seed filling stages was effective in mitigating the effects of heat stress on physiological parameters, yield attributing characters, seed yield and quality to a considerable extent.
YIELDING OR MAINTAINING THE FLOOR: THE ROLE OF INTONATIONAL MORPHEMES INTHETURN-TAKING SYSTEM IN MONTENEGRIN

The aim of this paper is to determine the occurence and role of the intonational morphemes in the turn-taking system in Montenegrin. The focus is on the function of boundary tones in helping the interlocutors project a possible completion point and on their potential interaction with other linguistic components in that respect. The basic assumption is that the interlocutors follow not only the syntactic signals, but also the intonational ones while taking turns and successfully organizing the conversation. The empirical study, which involves the analysis of Montenegrin TV talk shows, points to the low boundary tone L% as the cue most frequently used in signaling transition relevance place. However, the high boundary tone H% was registered as well, although sometimes at points where it was unexpected.
DEV118422 331..342

In vertebrates, the digestive tract develops from a uniform structure where reciprocal epithelial-mesenchymal interactions pattern this complex organ into regions with specific morphologies and functions. Concomitant with these early patterning events, the primitive GI tract is colonized by the vagal enteric neural crest cells (vENCCs), a population of cells that will give rise to the enteric nervous system (ENS), the intrinsic innervation of the GI tract. The influence of vENCCs on early patterninganddifferentiationof theGI tracthasnever beenevaluated. In this study, we report that a crucial number of vENCCs is required for proper chick stomach development, patterning and differentiation. We show that reducing the number of vENCCs by performing vENCC ablations induces sustained activation of the BMP and Notch pathways in the stomachmesenchymeand impairs smoothmuscle development. A reduction in vENCCs also leads to the transdifferentiation of the stomach into a stomach-intestinal mixed phenotype. In addition, sustained Notch signaling activity in the stomach mesenchyme phenocopies the defects observed in vENCC-ablated stomachs, indicating that inhibition of the Notch signaling pathway is essential for stomach patterning and differentiation. Finally, we report that a crucial numberof vENCCs is also required formaintenance of stomach identity and differentiation through inhibition of the Notch signaling pathway. Altogether, our data reveal that, through the regulation of mesenchyme identity, vENCCs act as a new mediator in the mesenchymal-epithelial interactions that control stomach development.
Interactive comment on “ When does vapor pressure deficit drive or reduce evapotranspiration ? ” by Adam Massmann et al

The authors present a study of how evapotranspiration respond to vapor pressure deficit (VPD) at the ecosystem scale by deriving an analytical equation based on Penman-Monteith equation and an empirical model of stomatal conductance (Eq. 7) and by analyzing flux tower observations in 66 sites of the Fluxnet-2015 dataset. Theoretical and empirical results suggest that ET mostly decreases as VPD increases below a given VPD threshold, this threshold is at quite high VPD values except for crops. The authors attribute this result to a dominant role of plant physiological controls on ET as VPD rises.
A Comparative Analysis of Machine Learning Methods for Image Compression

—Cameras are everywhere in today’s world, from security cameras to smartphone cameras and webcams. All of these cameras produce an endless stream of images, which often need to be compressed for efficient storage and/or transmission. Image compression has been researched upon for many decades; however, in recent times, advances in machine learning have achieved great success in many computer vision tasks, and are now gradually being used in image compression. In this paper, we compare techniques involving Eigen Value based K-means clustering, GANs, CAEs, and the Gaussian Mixture Model using Bits Per Pixel(bpp) and PSNR(dB) as metrics
Bending angles of a broken line causing bifurcations and chaos

We replace the cubic characteristics in the Duffing equation by two line segments connected at a point and investigate how an angle of that broken line conducts bifurcations to periodic orbits. Firstly we discuss differences in periodic orbits between the Duffing equation and a forced planar system including the broken line. In the latter system, a grazing bifurcation split the parameter space into the linear and nonlinear response domains. Also, we show that bifurcations of non-resonant periodic orbits appeared in the former system are suppressed in the latter system. Secondly, we obtain bifurcation diagrams by changing a slant parameter of the broken line. We also find the parameter set that a homoclinic bifurcation arises and the corresponding horseshoe map. It is clarified that a grazing bifurcation and tangent bifurcations form boundaries between linear and nonlinear responses. Finally, we explore the piecewise linear functions that show the minimum bending angles exhibiting bifurcation and chaos.
A Survey on Consensus Clustering Techniques

—Consensus clustering is an important elaboration of the classical clustering problem, in which multiple clusterings of a dataset are consolidated in to a single clustering. The different clusterings are obtained from different runs of the same algorithm or different algorithms. Formally, given r clusterings of a dataset, λ 1 , . , λ r , the objective is to produce a single clustering ˆ λ that agrees as much as possible with the r clusterings. In this survey, we describe and classify various approaches to the problem of consensus clustering. We discuss different formulations of the problem, consensus functions and efﬁcient algorithms to compute them, and speciﬁc applications addressed in the literature.
A Predictive Analysis for Detecting Deadlock in MPI Programs

A common problem in MPI programs is deadlock: when two or more processes are blocked indefinitely due to a circular communication dependency. Automatically detecting deadlock is difficult due to its schedule-dependent nature. This paper presents a predictive analysis for single-path MPI programs that observes a single program execution and then determines whether any other feasible schedule of the program can lead to a deadlock. The analysis works by identifying problematic communication patterns in a dependency graph to form a set of deadlock candidates. The deadlock candidates are filtered by an abstract machine and ultimately tested for reachability by an SMT solver with an efficient encoding for deadlock. This approach quickly yields a set of high probability deadlock candidates useful for reasoning about complex codes and yields higher performance overall in many cases compared to other state-of-the-art analyses. The analysis is sound and complete for single-path MPI programs on a given input.
Identification of functional groups in Thymus linearis ethanol leaf extract through fourier transform infrared spectroscopy (FTIR)

The present study aims to identify the functional groups in Thymus linearis leaf extract through Fourier Transform Infrared Spectroscopy (FTIR). In the current study, eleven functional groups were identified in Thymus linearis leaf extract. The FTIR analysis of ethanol leaf extracts of Thymus linearis confirmed the presence of alkyne, aldehyde, aromatic amine, aliphatic ether, anhydride, alkene, 1,2,4 trisubstituted, 1,4-disubstituted and halo compound, which show major peak. Interpretation of FTIR results revealed the presence thymol, carvacrol and phytol. The presence of thymol, carvacrol and phytol provides the ant pathogenic properties to the Thymus lineraris plant.
Disassociating a Monolithic Application Into Microservices without any Downtime

As the code architecture of an application develops to face newer updates, it is difficult to update and maintain. Because of this, a Traditional Monolith Architecture is hard to scale, along these lines to present new systems, highlights and advances is a perplexing issue which thusly constrains the zone of development. In this research article with the assistance few Amazon Web Services (AWS) technologies, a straightforward solid application in a Docker Container is deployed, and the same application is conveyed as microservices, at that point change traffic to the microservices with no down time. When building up a server-side application, it is important to begin with a Modular or layered approach comprising of few components. Despite the fact that there are few advantages of a Monolithic Application Architecture, it additionally houses some disadvantages. To overcome the downsides, Microservices Application Architecture was presented. Every Microservice is an application which frames an assortment of littler, interconnected administrations which has its own business rationale alongside different connectors. The Microservice architecture fundamentally impacts the connection between the application and the database. Rather than offering a solitary database pattern to different administrations, each assistance has its own database outline. These Microservices can be composed with the assistance of various structures and programming dialects and these Microservices can be sent autonomously as a solitary service or a cluster of services. AWS technologies used are as follows: Amazon EC2