Miracle-dz/UniFAR-FTUs huggingface dataset:
About recommender-like systems using co-clustering criteria

Many real word classification and predictions tasks are executed in high dimensional feature spaces like for example those occurring in the context of recommender systems. Some of these tasks are solved remarkably well by connected individuals and collectives. While, at a fundamental level or from a purist’s point of view, many of these tasks can be associated with hard combinatorial problems, in a real life decision context with severe resource constraints, agent behaviour is substantially influenced by trust and reputation effects and also by screening for (more or less hard to pin down) “soft regularities” in the relevant environment. In the context of recommender-like systems this may be done by using a collection of objects and processes, which allow for multiple structural matching, potentially using metric and non-metric similarities. Such features are introduced conceptually by using an influence cycle based on trust formation as well as on certain features of production systems, which depend on task reputation. The research methodology is mainly conceptual but also computational for illustrative purposes. Key-Words: Recommender systems; Trust; Reputation; Production; Machine Learning 1 Recommender-like systems Recommender-like systems come in many cooperative and competitive variants. They are useful for diverse real-life domains starting with e-commerce and covering many other aspects of profit or nonprofit activities like e-innovation (e.g. innovation contests by crowd-sourcing) or even e-science [2],[16],[17]. The basic form of a recommender-like system can be described by classical product recommendation as it occurs in e-commerce. Here a m N × product score matrix 0 ≥ S which contains entries ij s denoting that client } ,. , 1 { N i∈ has rated product } ,. , 1 { m j∈ in the past ( 0 > ij s ) or client i has not seen j as yet ( 0 = ij s ) or is not attracted by that product. In order to RECOMMEND j to i (or not) one has to determine in principle the similarities (for instance given by the “distances”) between all client pairs, which leads to a sets of neighbours ) (i U for all clients. One would finally recommend j to i if the clients ) (i U k ∈ have scored product j above a threshold. Many huge product score matrices S (e.g. millions of clients, hundreds of products, tens of markets) are expected to be “approximately low rank”, meaning that they have effectively many zero entries. In such situations a mathematical procedure called MATRIX COMPLETION proposes values for a matrix X having the size of matrix S such that these: minimize rank ) (X , subject to ij ij s x = coincide at all polled points } {ij (that is where there are scores 0 > ij s from the past). According to [8], a computationally tractable equivalent problem is: minimize trace ) ( 1 W + trace ) ( 2 W , subject to ij ij s x = coincide at all polled points } {ij as before,
PHYLOGENETIC ANALYSIS OF ENOLASE GENE FAMILY IN DIFFERENT SPECIES

Enolase is involved in the glycolytic pathway of many organisms and is a key rate-limiting enzyme, which plays an important role in the growth and development of various species. In this study, the enolase gene sequences and amino acid sequences of more than 40 species were first downloaded, and phylogenetic analysis and molecular evolution studies were performed using bioinformatics methods. The phylogenetic tree was constructed to predict the conserved type of enolase evolution and the enolase evolution relationship of each species. It was found that the enolase of each species was very conservative during the evolution process. In addition to studying the evolutionary relationship of enolase of various species, the protein structure was predicted, and the secondary structure of enolase protein was predicted. The results showed that the secondary structure was very similar. The homology modeling method was used to predict the tertiary structure of enolase, and it was found that although there were slight differences, they were similar. In addition, statistical comparison analysis of the introns of each species enolase found that the gap between the number of introns and the locus was small, suggesting their close evolutionary relationship. It is predicted that a variety of plant and animal enolase catalytic kinasespecific phosphorylation sites, the results show that the kinase domain sequence contains three phosphorylation sites: serine (Ser), threonine (Thr) and tyrosine (Tyr). The amount of serine is the highest and the degree of similarity is high. The Ka/Ks ratio of most species is greater than 1. This indicates that enolase is mainly influenced by positive selection in evolution. Our results will help provide insights into the evolution of enolase and provide a theoretical basis for subsequent experiments.
The mediation effect of TQM practices on the relationship between entrepreneurial leadership and organizational performance of SMEs in Kuwait

Article history: Received: September 5 2019 Received in revised format: September 5 2019 Accepted: October 15, 2019 Available online: October 16, 2019 Small and medium enterprises (SMEs) play a vital role for the economic development of most countries, particularly in developing economies such as Kuwait. There are, however, challenges and problems that have to be addressed in an effort to achieve a better performance and ensure longer-term success. In the pursuit of entrepreneurial leadership (EL), SMEs frequently adopt total quality management (TQM) practices as their key strategies to enhance their competitive advantage. However, there is a dearth of studies that investigate the relationship of these concepts with the performance SMEs in developing countries. This paper seeks to examine the association between determinants of organizational performance, such as entrepreneurial leadership (EL) and TQM practices, of Kuwait's SMEs. This study uses a quantitative method. A survey questionnaire is administered to collect data from 500 SME owners and CEOs in Kuwait, and 384 are found to be usable. The outcomes of this study show beneficial and considerable influence of entrepreneurial leadership and TQM practices on organizational performance. The association of entrepreneurial leadership with organizational performance of SMEs is fundamentally mediated by TQM practices. © 2020 by the authors; licensee Growing Science, Canada
Speed Breakers, Road Marking Detection and Recognition Using Image Processing Techniques

This paper presents a image processing technique for speed breaker, road marking detection and recognition. An Optical Character Recognition (OCR) algorithm was used to recognize traffic signs such as “STOP” markings and a Hough transform was used to detect line markings which serves as a pre-processing stage to determine when the proposed technique does OCR or speed breaker recognition. The stopline inclusion serves as a pre-processing stage that tells the system when to perform stop marking recognition or speed breaker recognition. Image processing techniques was used for the processing of features from the images. Local Binary Pattern (LBP) was extracted as features and employed to train the Support Vector Machine (SVM) classifier for speed breaker recognition. Experimental results shows 79%, 100% “STOP” sign and speed breaker recognitions respectively. The proposed system goes very well for the roads which are constructed with proper painting irrespective of their dimension.
Ice in the Environment: Proceedings of the 16th IAHR International Symposium on Ice

The impact of sea ice on the periodic currents in the eastern Laptev Sea was evaluated in 1998–1999 within the framework of the Russian-German project “Laptev Sea System 2000”. Acoustic Doppler current profiler (ADCP) records from two moorings deployed for one year were analyzed. Ice conditions, as derived from remote sensing and ADCP data, were shown to significantly affect surface circulation down into the pycnocline layer. With fall freeze-up, the tidal currents shift from a barotropic to a baroclinic regime and are furthermore amplified in the pycnocline. Opening of polynyas induces a return to the initial barotropic mode with surface water dynamics primarily controlled by atmospheric forcing. INTRODUCTION The sea-ice cover strongly affects the Arctic continental shelf environment. However, comparatively little is known about the influence of different ice conditions upon shallow water dynamics in a water column that is highly stratified due to input of riverine freshwater in the summer months. This is particularly true for the broad Siberian shelves, which have received little attention in comparison with work carried out from drifting stations over the deeper Arctic Ocean. To improve the lack of longerterm current profiling records in the Siberian Arctic, two moorings equipped with upward looking acoustic Doppler current profilers (ADCP, profiling depths of 40 and 22 m) were deployed in the eastern Laptev Sea for a one-year period within the framework of the Russian-German project “Laptev Sea System 2000”. The study region is strongly impacted by Lena River runoff. Ice conditions vary from open water in summer to completely ice-covered in winter. Between March and May, the Great Siberian coastal polynya (Zakharov, 1997) opens up episodically along the margin of the landfast ice. This paper discusses the impact of the sea-ice cover on the periodic 1 International Arctic Research Center, University of Alaska Fairbanks, P.O. Box 757335, Fairbanks, USA, e-mail: igordm@iarc.uaf. edu 2 Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany 3 Arctic and Antarctic Research Institute, St.Petersburg, Russia 4 Russian State Hydrometeorological University, St.Petersburg, Russia 5 Geophysical Institute, University of Alaska Fairbanks, USA 6 GEOMAR Research Center for Marine Geosciences, Kiel, Germany currents in the eastern Laptev Sea and other Siberian shelf regions that have not been considered in any detail from this perspective.
A Review On Big Data With Machine Learning And Fuzzy Logic For Better Decision Making

:- Big data is playing an important role for many years due to the vast and vide growth of data in various fields and it has become difficult to find the sense from all those large collective data. Since there is an increase in the large amount of data it is difficult to make better decisions . To overcome these challenges, machine learning and fuzzy logic are the two techniques that are used for getting better knowledge from various and such large amount of data sources. This paper discuss about the review on knowledge based decision making that are derived from these two techniques and how efficiently these two techniques provides the decision making in their own way and the steps involved in these techniques for decision making. Machine learning is a technique of artificial intelligence to give better intelligent decisions. Fuzzy logic is a process of giving conclusion or decisions from an uncertain problem.
Determination of Ibuprofen in Pharmaceutical Formulations Using Differential Pulse Polarography

A reliable differential pulse polarographic (DPP) method has been developed and applied for the determination of ibuprofen IBU in dosage form with dropping mercury electrode (DME) versus Ag/AgCl. The best peak was found at cathodic peak of -1.18 V in phosphate buffer at pH=4 and 0.025M of KNO3 as supporting electrolyte. In order to obtaine the highest sensitivity, instrumental and experimental parameters were examined including the type and concentration of supporting electrolyte, pH of buffer solution, pulse amplitude and voltage step time. Diffusion current showed a direct linear relationship to ibuprofen concentration in the range of (5 â€“ 30) Î¼g. mL-1 (2.43Ã— 10-5 â€“ 1.45 Ã— 10-4 molÂ·Lâ€“1) with correlation coefficient r= 0.9999, detection limit (S/N = 3) =3.40 Î¼g. mL-1 (1.65 Ã— 10-5 molÂ·Lâ€“1) and the value of precision in terms of relative standard deviation RSD%, ranged between 0.374-0.5176 %. The established DPP method offers an excellent analytical figure of merits as well as its successful applicability to examine two commercial drug forms (tablet and suspension) for the determination of ibuprofen.
Anti-inflammatory and healing effect of leaf-flower mixture extract of Cytisus triflorus L

Objective: The present study aims to study the anti-inflammatory and healing effects of the crude leaf and flower mixture extract of Cytisus triflorus L. , known in Algeria as Igoulli. Methodology and results: The method consists of studying the anti-inflammatory effect by measuring the diameter of edema of the paw of rats that received carrageenan. In addition, 2 cm diameter circular incision wounds were made in rats to evaluate the healing activity of the crude leaf and flower mixture extract of Cytisus triflorus L. at doses of 200 mg/kg and 400 mg/kg. The anti-inflammatory effect of C. triflorus showed that E.Br at the dose 400 mg has the higher activity, which induces a significant decrease in the thickness of the rat paw from the second hour, its effects being similar to those of Diclofenac. The percentages of inhibition of edema at 4 h and 6 h are 80.05 and 88.56% for E.Br and Diclofenac respectively. With respect to healing activity, the results show that after 18 days, complete healing was achieved with almost two concentrations of crude C. triflorus, tissue remodeling and reoccurrence of hair was observed at level of scars. Conclusion: The results of the study show that the leaf extract and flower extract of Cytisus triflorus L. has healing and anti-inflammatory properties that could justify the use of this plant in traditional medicine against inflammatory diseases.
Teacher beliefs and practices surrounding the use of literature in the EFL classroom: A case for explicit instruction

The purpose of this study was to uncover the current practices and beliefs regarding the inclusion of literature in the EFL classroom among a group of 11 Chilean English teachers who were studying a master’s degree in teaching EFL. Data was collected through questionnaires and semi-structured interviews. The study found that only those teachers who had received explicit instruction on how to teach literature, or had guide teachers who modeled appropriate practices, were currently using literature in their classes.
Polyene macrollide biosynthesis in streptomycetes and related bacteria: recent advances from genome sequencing and experimental studies

The polyene macrolide group includes important antifungal drugs, to which resistance does not arise readily. Chemical and biological methods have been used in attempts to make polyene antibiotics with fewer toxic side effects. Genome sequencing of producer organisms is contributing to this endeavour, by providing access to new compounds and by enabling yield improvement for polyene analogues obtained by engineered biosynthesis. This recent work is also enhancing bioinformatic methods for deducing the structures of cryptic natural products from their biosynthetic enzymes. The stereostructure of candicidin D has recently been determined by NMR spectroscopy. Genes for the corresponding polyketide synthase have been uncovered in several different genomes. Analysis of this new information strengthens the view that protein sequence motifs can be used to predict double bond geometry in many polyketides. Chemical studies have shown that improved polyenes can be obtained by modifying the mycosamine sugar that is common to most of these compounds. Glycoengineered analogues might be produced by biosynthetic methods, but polyene glycosyltransferases show little tolerance for donors other than GDP- - D -mycosamine. Genome sequencing has revealed extending glycosyltransferases that add a second sugar to the mycosamine of some polyenes. NppY of Pseudonocardia autotrophica uses UDP-N-acetyl- - D -glucosamine as donor whereas PegA from Actinoplanes caeruleus uses GDP- - D -mannose. These two enzymes show 51% sequence identity and are also closely related to mycosaminyltransferases. These findings will assist attempts to construct glycosyltransferases that transfer alternative UDP-or (d)TDP-linked sugars to polyene macrolactones.
Lifestyle risk factors, non-communicable diseases and labour force participation in South Africa

ABSTRACT This paper investigates the indirect effects of lifestyle risk factors associated with non-communicable diseases on labour force participation in South Africa utilising data from the National Income Dynamics Study. Endogenous multivariate probit models with a recursive simultaneous structure were employed in the study as a method of analysis. Findings showed a negative effect of non-communicable diseases on labour force participation. When the analysis was disaggregated by gender, the results showed that the effect of stroke and heart diseases were only significant for men, while diabetes and hypertension were only significant for women. The results also emphasised the significant indirect impact of obesity, physical activity and alcohol consumption on labour force participation through non-communicable diseases, especially for men. The policy implications of this study are thus gender-specific. These results can be used to inform the South African National Department of Health to strengthen current health strategies with the aim of reducing lifestyle risk factors and thus promoting sustained labour force participation rates in South Africa.
Antioxidant activity in different morphological fractions of some cereal grains

The purpose of this study was to examine the antioxidant properties of 70% ethanolic extracts of cereal grains and their different morphological fractions. Wheat (Triticum durum L.), barley (Hordeum vulgare L.), rye (Secale cereale L.), and buckwheat (Fagopyrum esculentum) were used. The total phenolic content (TPC), determined by the Folin-Ciocalteu method and antioxidant activities (AOA) were assessed using 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging capacity, ferric ion-reducing antioxidant power (FRAP) and thiobarbituric acid (TBA) methods. The following hierarchy of antioxidant activity was provided for 70% ethanolic extracts originated from whole grain: buckwheat >barley > wheat > rye. In respect to hulls, the antioxidant hierarchy was the same. The outer layers of grains had higher amount of phenolic compounds and subsequently higher antioxidant activity. Buckwheat had the highest amount of total phenolics, with the highest DPPH radical scavenging activity and capacity for Fe3+ reduction, but it had the lowest lipid peroxidation inhibition ability.
On Application of Case-Based Reasoning to Personalise Learning

The paper aims to present application of Educational Data Mining and particularly Case-Based Reasoning (CBR) for students profiling and further to design a personalised intel - ligent learning system. The main aim here is to develop a recommender system which should help the learners to create learning units (scenarios) that are the most suitable for them. First of all, systematic literature review on application of CBR and its possible implementation to personalise learning was performed in the paper. After that, methodology on CBR application to personalise learning is presented where learning styles play a dominate role as key factor in proposed personalised intelligent learning system model based on students profiling and person - alised learning process model. The algorithm (the sequence of steps) to implement this model is also presented in the paper.
Liprin-alpha/SYD-2 determines the size of dense projections in presynaptic active zones in C. elegans

Depending on the organism and synapse type, DPs differ in size and structure, probably reflecting their different functional requirements. In central nervous system synapses of higher vertebrates, DPs have been shown to form a weblike grid of cone-shaped densities with intermediate slots for SV docking and fusion (Phillips 2001). On the other hand, EM tomography of the frog neuromuscular junction (NMJ) revealed an elongated ribbonlike array that runs along the midline of the ynaptic vesicle (SV) release is spatially and tempo-rally regulated by a network of proteins that form the presynaptic active zone (AZ). The hallmark of most AZs is an electron-dense projection (DP) surrounded by SVs. Despite their importance for our understanding of triggered SV release, high-resolution analyses of DP structures are limited. Using electron microscopy, we show that DPs at Caenorhabditis elegans neuromuscular junc-tions (NMJs) were highly structured, composed of building units forming bays in which SVs are docked to the AZ membrane. Furthermore, larger ribbonlike DPs that were multimers of the NMJ building unit are found at synapses between inter- and motoneurons. We also demonstrate that DP size is determined by the activity of the AZ protein SYD-2/Liprin-  . Whereas loss of syd-2 function led to smaller DPs, syd-2 gain-of-function mutants displayed larger ribbonlike DPs through increased recruitment of ELKS-1/ ELKS. Therefore, our data suggest that a main role of SYD-2/ Liprin-  in synaptogenesis is to regulate the polymerization
VIRTUAL STRUCTURE FOR SUSTAINABLE WIRELESS NETWORKS IN CLOUD SERVICES AND ENTERPRISE INFORMATION SYSTEM

The wireless network virtualization for the cloud and the enterprise information system would enable maximum utilization of resources, causing an enhancement in the enterprise information system efficiency, by sharing the infrastructure among multiple applications or service provisioning’s. The physical wireless structure of the network and the radio resources are split and shared among different applications by abstraction and isolation to provide a cost effective and efficient handling of the enormous amount of the services. Further the virtualization also provides a migration to the latest products and the technologies at ease. In spite of all these potentials there are several challenges that are to be handled before embedding the virtual wireless network over the physical infrastructure. The paper focuses on developing a virtual wireless network that are sustainable(VSWN) for the cloud and enterprise information system involving the software defined networks that includes network function virtualizing and deep packet inspection for improving the agility and the flexibility of the Cloud enterprise information system. The further validation of the proposed model using the network simulator shows throughput enhancements with cost efficiency when compared to the other wireless network management of cloud.
Effect of daily intense exercise on asymmetry in sympathoadrenomedullary activity

In this study we tested changes in quantity of phenylethanolamine Nmethyltransferase (PNMT), a “rate limiting” enzyme in the synthesis of adrenaline (A), as an indicator of sympatho-adrenomedullary activity in the left and right adrenal medulla of control animals and animals exposed to intensive physical activity. We utilised the model of chronic forced running (CFR: 12 weeks of treadmill running), which according to intensity and duration falls under intensive physical activity. The tested parameters were quantified by using the Western blot. We discovered that CFR considerably increases the level of PNMT proteins in the right adrenal medulla, which suggests that, in the conditions of daily intensive exercise, the sympatho-medullary link greatly influences the right adrenal medulla. The considerable increase of PNMT proteins in the right adrenal medulla confirms that the left hemisphere of the brain is much more sensitive to intensive physical activity.