Miracle-dz/UniFAR-FTUs huggingface dataset:
RECOGNITION OF TRANSITIONS BETWEEN DIFFERENT PHASES OF THE PRODUCT LIFE CYCLE

Management of the product life cycle and of the corresponding supply network largely depends on information in which specific phase of the life cycle one or another product is. Finding a phase of the product life cycle can be interpreted as recognition of transitions between phases of life of these products. This paper provides a formulation of the above mentioned task of recognition of transitions and presents the structured data mining system for solving that task. The developed system is based on the analysis of demand of historical products and on information about transitions between phases in those products. The paper describes necessary data pre-processing and transformation steps, whose aim is to create a possibility of discovering rules in those data. The created rule discovering framework does not need a complicated realization, because the rules themselves can be discovered by a well-known and available classifier.
TRA 6 / 14 Schema-independence in XML Keyword Search

XML keyword search has attracted a lot of interests with typical search based on lowest common ancestor (LCA). However, in this paper, we show that meaningful answers can be found beyond LCA and should be independent from schema designs of the same data content. Therefore, we propose a new semantics, called CR (Common Relative), which not only can find more answers beyond LCA, but the returned answers are independent from schema designs as well. To find answers based on the CR semantics, we propose an approach, in which we have new strategies for indexing and processing. Experimental results show that the CR semantics can improve the recall significantly and the answer set is independent from the schema designs.
THE EFFECTS OF FOOD AND DRINK INTAKE TO DRIVING PERFORMANCE : A SYSTEMATIC REVIEW Summary

Human-related factors are considered to be the main cause of traffic incidents or accidents, causing 69.70% of the incidents. Several studies have been conducted to identify the relationship between drowsiness or fatigue and driving performance. Furthermore, a number of other studies not only discussed the symptoms causing drowsiness but also tried to investigate related factors that cause sleepiness or fatigue while driving. On the other hand, some discussed the quantity and quality of sleep as well as food and drink intake before and while driving. This systematic review, which is based on the PRISMA method, aims to map previous studies that investigated the effect of different food/drink consumption, either taken prior to driving or while driving, on the on-road driving characteristics of drivers. Furthermore, this article is expected to serve as a reference for further research that could potentially contribute to minimizing driving errors that lead to incident or accident. From 1871 articles screened, 7 studies related to food/drink intake and driving performance were reviewed. On the basis of the existing studies, no real evidence showing the presence of the association between food intake and the monotony of the road to decrease the driving performance has been found; therefore, further research is needed.
Minimax Rank-1 Factorization

We consider the problem of recovering a rank-one matrix from a subset of entries subject to arbitrary perturbations, assuming we have no information about the magnitude of perturbation. We propose a weighted log least square based algorithm whose performance for small disturbances matches exactly the fundamental lower bounds that we derive for this problem, and which are related to the spectral gap of a graph representing the revealed entries. We show that for larger disturbances, potentially exponentially growing errors are unavoidable if no additional information is available. We then propose a second algorithm relying on encoding the matrix factorization in the stationary distribution of a Markov chain and leveraging known lower and upper bounds on the entries, allowing to overcome the exponential error growth. Ours is the first work that achieves minimax bounds on rank-one approximation error with algorithms of near-linear time complexity.
ICELANDIC CROWD-SOURCED CONSTITUTION AND SOCIAL MANAGEMENT : PRACTICE AND THEORY IN CITIZENS DEMOCRATIC PARTICIPATION

The Icelandic government recently, between 2009 and 2013, led the process of creating the first crowd-sourced constitution of the world. Immersed in a context of the global monetary crisis generated by the collapse of America's major financial institutions in 2008, known to the Icelanders as 'The Crash', a bill was submitted to the parliament requiring an advisory Constitutional Assembly to be instated. To ensure participation, the assembly used social media networks to conduct discussions between the people of Iceland and the Council. Although the process was not ratified like the new constitution of Iceland, it served as a model to spread throughout the world. Considering this context, the formulation of a crowd sourced constitution in Iceland will be studied on the perspective of Social Management. The analysis of this process will enable Social Management to be presented as an alternative capable of ensuring participation and emancipation worldwide. Social Management is an original Brazilian concept still under construction that, among other aspirations, aims to broaden the participation and popular engagement in the decisions that influence their lives. Studies on social management in Brazil have been expanding since 1990. This field of knowledge envisages building a new public sphere that aims to bring people and politics together in a way that they can debate and generate collective decisions about the needs and future of the community.
The effects of vitamin D and probiotic co-supplementation on glucose homeostasis , in fl ammation , oxidative stress and pregnancy outcomes in gestational diabetes : A randomized , double-blind , placebo-controlled trial

Background and aims: This study was designed to assess the effects of combined vitamin D and probiotic supplementation on metabolic status and pregnancy outcomes in women with gestational diabetes (GDM). Methods: This randomized, double-blind, placebo-controlled clinical trial was performed in 87 women with GDM. Patients were randomly assigned three groups to receive either vitamin D (50,000 IU/every 2 weeks) plus probiotic (8 109 CFU/day) (n 1⁄4 30), probiotic (8 109 CFU/day) (n 1⁄4 29) or placebo (n 1⁄4 28) for 6 weeks. Results: Vitamin D and probiotic co-supplementation significantly reduced fasting plasma glucose (b 10.99 mg/dL; 95% CI, 14.26, 7.73; P < 0.001), serum insulin levels (b 1.95 mIU/mL; 95% CI, 3.05, 0.84; P 1⁄4 0.001) and homeostasis model of assessment-insulin resistance (b 0.76; 95% CI, 1.06, 0.45; P < 0.001), and significantly increased the quantitative insulin sensitivity check index (b 0.01; 95% CI, 0.008, 0.03; P 1⁄4 0.001) compared with the placebo. In addition, vitamin D and probiotic co-supplementation resulted in a significant reduction in triglycerides (b 37.56 mg/dL; 95% CI, 51.55, 23.56; P < 0.001), VLDL(b 7.51 mg/dL; 95% CI, 10.31, 4.71; P < 0.001), HDL-/total cholesterol ratio (b 0.52; 95% CI, 0.79, 0.24; P < 0.001), high sensitivity C-reactive protein (b 1.80 mg/L; 95% CI, 2.53, 1.08; P < 0.001) and malondialdehyde (b 0.43 mmol/L; 95% CI, 0.77, 0.09; P 1⁄4 0.01); also, a significant rise in HDL-cholesterol (b 4.09 mg/dL; 95% CI, 1.11, 7.08; P 1⁄4 0.008) and total antioxidant capacity (TAC) levels (b 97.77 mmol/L; 95% CI, 52.34, 143.19; P < 0.001) were observed compared with the placebo. Vitamin D and probiotic co-supplementation did not change other metabolic parameters. Vitamin D and probiotic co-supplementation significantly decreased triglycerides (P 1⁄4 0.02), VLDL-cholesterol (P 1⁄4 0.02) and hs-CRP (P 1⁄4 0.01), and significantly increased TAC (P 1⁄4 0.006) and total glutathione levels (P 1⁄4 0.04) compared with only probiotic group. Conclusions: In conclusion, vitamin D and probiotic co-supplementation in women with GDM had beneficial effects on metabolic status. This trial was registered at www.irct. ir as IRCT2017060-75623N119. © 2018 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.
Toughening of Carbon Fiber Reinforced Composites with Nanorubber for Advanced Industrial Applications

This paper investigates the effects of nano carboxylated acrylonitrile butadiene rubber (CNBR-NP) and micron sized acrylonitrile butadiene rubber (NBR-NP) on the mechanical properties of carbon fiber reinforced polymer composites (CFRP) with commercial dicyandiamide cured epoxy as matrix. The mechanical characteristics of both systems were systematically studied. Nano-size dispersion of rubber dramatically improved the Mode I delamination fracture toughness (GIC) of the CFRP by 250% and its Mode II fracture toughness (GIIC) by 80% with the addition of rubber.
LEBANESE AMERICAN UNIVERSITY Comparative Genomic Analysis of Staphylococcus aureus CC 80 strains

Staphylococcus aureus is a highly adaptive and versatile gram-positive bacterium and is considered one of the most isolated human pathogens and the most common cause of skin and soft tissue infections (SSTIs). The ongoing evolution of antimicrobial resistance namely the particularly methicillin-resistant strains of S. aureus (MRSA) has complicated the treatment of infections with such isolates. Global transmission of MRSA has been linked to international travel. However, in countries with a high prevalence of MRSA, imported cases are not easily distinguished from the domestic background prevalence. In this study we have selected ST80 MRSA strains isolated from clinical samples from Lebanon and Jordan for genome sequencing. DNA extracted from all isolates was prepared for sequencing, pooled together and run on Illumina MiSeq for paired-end 250-bp sequencing. Those isolates, found to be ST80, carried several virulence factors, namely PVL that causes a wide variety of diseases such as skin and mucosal lesions including necrotic hemorrhagic pneumonia. Additionally, intracellular adhesion proteins and clumping factors involved in biofilm formation and adhesion respectively were identified. Fibronectin binding proteins that play a role in invasion were expressed in all of our isolates. Moreover, exfoliative toxin, eta, which is the causative agent of staphylococcal scalded skin syndrome, was also detected. Nevertheless, different plasmids were identified in those isolates carrying several resistance genes towards Tetracyclines and Beta-lactams. Also, some isolates were shown to be resistant towards Lincosamide, Straptogramin and Macrolides. Finally, integrated phages, such as phi7401PVL and JS01 were identified in most of the isolates along with several CRISPR sequences that can be used in targeted therapies. Knowledge of epidemic MRSA clones can help in the development of effective strategies to aid in
Improving passenger transportation service as a part of tourism services complex in Russia

Article history: Received: September 5, 2018 Received in revised format: September 8, 2018 Accepted: October 23, 2018 Available online: October 23, 2018 In the context of active world markets expansion including actively emerging markets such as Russia, the search for possible ways of integrated development of various industries becomes an issue of special state significance for the economy competitiveness improvement. This article focuses on finding ways to optimize travel business environment in Russia by improving passengers’ transportation service. © 2019 by the authors; licensee Growing Science, Canada
DOCUMENT CLUSTERING USING SELF-ORGANIZING MAPS : A MULTI-FEATURES LAYERED APPROACH

Cluster analysis of textual documents is a common technique for better filtering, navigation, understanding and comprehension of the large document collection. Document clustering is an autonomous method that separate out large heterogeneous document collection into smaller more homogeneous sub-collections called clusters. Self-organizing maps (SOM) is a type of artificial neural network (ANN) that can be used to perform autonomous self-organization of high dimension feature space into low-dimensional projections called maps. It is considered a good method to perform clustering as both requires unsupervised processing. In this paper, we proposed a SOM using multi-layer, multi-feature to cluster documents. The paper implements a SOM using four layers containing lexical terms, phrases and sequences in bottom layers respectively and combining all at the top layers. The documents are processed to extract these features to feed the SOM. The internal weights and interconnections between these layers features(neurons) automatically settle through iterations with a small learning rate to discover the actual clusters. We have performed extensive set of experiments on standard text mining datasets like: NEWS20, Reuters and WebKB with evaluation measures F-Measure and Purity. The evaluation gives encouraging results and outperforms some of the existing approaches. We conclude that SOM with multi-features (lexical terms, phrases and sequences) and multi-layers can be very effective in producing high quality clusters on large document collections.
Modeling local stationary behavior of Internet

Non-stationary behavior of aggregated IP traffic patterns was demonstrated in a number of studies. However, none of those did either consider practical aspects of this phenomenon or propose suitable model to capture it. Searching for model for IP traffic aggregates we introduce the concept of local stationarity and demonstrate that it allows to model traffic patterns measured in high-speed operational networks. The proposed model is on-line in nature and suitable for real-time estimation of the traffic state in terms of piecewise covariance stationary stochastic process. As a basic tool of the model we use change-point statistical test allowing us to dynamically and automatically determine whether statistical characteristics of the traffic pattern changes and, if so, estimate new parameters of the traffic pattern. We provide numerical examples and discuss applications of the proposed model that include but not limited to dynamic resource reservation, routing with guaranteed bandwidth, etc.
Line Segmentation with Parametric Water Flow Algorithm

The paper proposes an extension to the original water flow algorithm used for the text line segmentation in a document image. This extension is called a parametric water flow algorithm. The original algorithm assumes that the hypothetical water flows to the barrier representing objects. After that barrier, the hypothetical water creates different pathways under few specified angles creating labeled wetted and unwetted regions. The direction of the hypothetical water is from left to right side and vice versa. Hence, the final labeled wetted and unwetted image regions are created as their unions. The unwetted regions are used to segment text lines in a document image. The extension of the original water flow algorithm establishes the so-called water flow function, which is responsible for the unwetted region's creation. The proposed linear water flow function is exchanged with its parametric function counterpart. The basic, linear and parametric water flow algorithms are tested and evaluated under different synthetic and handwritten text samples. The experiments show promising results in the area of text line segmentation.
The Ozone Hole and Southern Hemisphere Climate Change ( Auxiliary Material )

[1] Climate change in the Southern Hemisphere (SH) has been robustly documented in the last several years. It has altered the atmospheric circulation in a surprising number of ways: a rising global tropopause, a poleward intensification of the westerly jet, a poleward shift in storm tracks, a poleward expansion of the Hadley cell, and many others. While these changes have been extensively related with anthropogenic warming resulting from the increase in greenhouse gases, their potential link to stratospheric cooling resulting from ozone depletion has only recently been examined and a comprehensive picture is still lacking. Examining model output from the coupled climate models participating in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment (AR4), and grouping them depending on the stratospheric ozone forcing used, we here show that stratospheric ozone affects the entire atmospheric circulation in the SH, from the polar regions to the subtropics, and from the stratosphere to the surface. Furthermore, model projections suggest that the anticipated ozone recovery, resulting from the implementation of the Montreal Protocol, will likely decelerate future climate change resulting from increased greenhouse gases, although it might accelerate surface warming over Antarctica. Citation: Son, S. -W. , N. F. Tandon, L. M. Polvani, and D. W. Waugh (2009), Ozone hole and Southern Hemisphere climate change, Geophys. Res. Lett. , 36, L15705, doi:10.1029/ 2009GL038671.
Assessment of genetic diversity using DNA markers among Brassica rapa var . yellow sarson germplasm lines collected from Eastern Uttar Pradesh and Uttarakhand

The genetic diversity and the relatedness among thirty-one germplasm lines of yellow sarson collected from eastern UP were evaluated using morphological characters and Random Amplified Polymorphic DNA (RAPD) markers. Molecular parameters, viz. A total number of bands, average polymorphic band, average percent polymorphism, average polymorphic information content (PIC), Jaccard’s similarity coefficient, Principal Coordinate Analysis (PCA) and dendrogram generated using RAPD markers. A total of 148 different polymorphic amplification products were obtained using 10 selected decamer primers. The Jaccard similarity coefficient ranged from 0.557-0.899. Maximum polymorphism detected was 100 %. The range of amplification was from 190bp to 9 kb. Some unique bands were also reported with different primers that can be used for the identification of particular accession. PYSC-11-11 and PYSC-11-36 genotypes showed a maximum number of unique loci of different size. 31 germplasm lines grouped into two major clusters I and II based on RAPD profiling. Morphological characterization was done on the basis of leaf, petal and beak characteristics. The similarity value among the germplasm lines ranged from 0.222 to 1.000 using morphological descriptors. The dendrogram generated grouped the germplasm accession into two major groups at 44% similarity value. The cluster analysis was comparable up to some extent with Principal Coordinate Analysis (PCA) of two and three-dimensional plots. The variability revealed by morphological and molecular profile were found to be non-comparable. This study indicated the presence of high genetic diversity among collected yellow sarson germplasm, which could be used for developing for breeding and germplasm management purposes.
Laboratory effluent Treatment by Using Coagulant Alum sulphate and Poly Aluminium Chloride ( PAC )

It has been investigated of the laboratory effluent treatment using coagulant Alum sulphate (AS) and Poly Aluminum Chloride (PAC). This research purposes to get the best doses of coagulant in waste water treatment. Parameter focuses are Total Dissolved Solid (TDS), Fe, Mn, Cr, and Ammoniac (NH3). The result shows the Alum sulphate was more effective. The effectiveness of pollutant decrease is 58,80% of TDS, 99,14% of Fe, 98% of Cr, 77,24% of Mn, and 23,18% of Ammoniac, respectively.
Effect of Climate Change on Rainfall in the Upper Basin of Chicamocha River in 1980-2012 Efecto del Cambio Climático en la Precipitación de la Cuenca Alta del Río Chicamocha en el Periodo 1980-2012

Indications suggest that anthropic activities have altered the atmospheric composition, causing alterations in elements generating extreme weather events and contributing to what we know today as global warming, through global and local changes in the rain regime and other climatic variables that interact in the hydrological cycle, causing extreme events with greater frequency. It is necessary to know the trends and extreme events of rains in order to have a basis for the adaptation and prevention of natural disasters caused by these macroclimatic phenomena. Through non-parametric tests, we found an increasing trend in rainfall between 5% to 20% average, in comparison with the behavior in the period of 1980 to 1990. Similarly, the influence of the macroclimatic variables in rainfall behavior is null.
3 D IMAGE ANALYSIS OF OPEN FOAMS USING RANDOM TESSELLATIONS C

Volume image analysis provides a number of methods for the characterization of the microstructure of open foams. Mean values of characteristics of the edge system are measured directly from the volume image. Further characteristics like the intensity and mean size of the cells are obtained using model assumptions where the edge system of the foam is interpreted as a realization of a random closed set. Macroscopically homogeneous random tessellations provide a suitable model for foam structures. However, their cells often lack the degree of regularity observed in real data. In this respect some deterministic models seem to be closer to realistic structures, although they do not capture the microscopic heterogeneity of real foams. In this paper, the influence of the model choice on the obtained mean values is studied. Moreover, a method for reconstruction of the cells of an open foam from its edge system is described and tested for the tessellations under consideration.
Analysis and Design of the Parallel Quasi Resonant DC Link Converter for Induction Motor Drive Application

A parallel quasi resonant DC link converter for induction motor drive application is analyzed and designed. The proposed soft-switching inverter is formed from the traditional pulse-width modulated (PWM) inverter by simply augmenting with auxiliary resonant circuits, and the soft switching is achieved through applying PWM switching control signals with suitable delays for the switches. The designed soft-switching inverter is used for powering an induction motor drive which is connected to drive the constant nominal load. The converter is designed to achieve the maximum voltage gradient and simultaneously to have low peak current and voltage stresses on the devices and thereby to reduce the losses.
Development and characterization of SSR markers for Trichloris crinita using sequence data from related grass species - Desarrollo y caracterización de marcadores moleculares SSR para Trichloris crinita usando secuencias de gramíneas filogenéticamente cercanas

Fil: Kozub, Perla Carolina. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Mendoza. Instituto de Biologia Agricola de Mendoza. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias. Instituto de Biologia Agricola de Mendoza; Argentina. Universidad Nacional de Cuyo. Facultad de Ciencias Agrarias; Argentina
Antecedents and consequences of marketing audits : Empirical evidence from Taiwanese fi rms

The purpose of this study is to develop and test a model of antecedents and consequences for marketing audits (MAs). The research used a mail survey and a partial least square (PLS) method to test the hypotheses. Drawing on a sample of Taiwanese firms, the results show that (a) a greater environmental munificence indicates that less MAs are implemented, (b) a proactive business strategy contributes significantly to the implementation of MAs, (c) MAs can contribute significantly to marketing performance, and (d) MAs mediate the relationship between environmental factors and marketing performance. © 2015 College of Management, National Cheng Kung University. Production and hosting by Elsevier Taiwan LLC. All rights reserved.