Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization and identification of SSR markers for screening of cowpea genotypes against Bean common mosaic virus (BCMV) disease resistance

One hundred cowpea genotypes were screened against Bean common mosaic virus (BCMV) by artificial inoculation genotypes. The genotypes showed different disease reaction viz., immune, resistant, moderately resistant, Sap moderately susceptible, susceptible and highly susceptible. The SSR markers were characterized using a total of 25 randomly selected resistance and susceptible cowpea genotypes. Among, 10 SSR markers used to screen polymorphism, only 4 primers were found to be polymorphic and they were used for characterization and finding out genetic relationship of cowpea genotypes. The polymorphism information content (PIC) of these SSR markers ranged from 0.23 to 0.37 and single marker analysis (SMA) revealed, out of these 4 SSR markers M 135 marker explained 28.2 % of phenotypic variation (R2). The banding pattern of all cowpea genotypes were scored and dendrogram was constructed. A dendrogram of these genotypes based on SSR polymorphism divided into two major clusters at 35 % similarity. Cluster I was the biggest with 20 genotypes which was further separated as three sub-clusters. Whereas, 5 genotypes grouped in cluster II with two small sub-clusters. The clustering pattern of resistant and susceptible genotypes was not clear, however resistant genotypes such as V-5 and IC 8996 clustered in one group with 100 % similarity. The information provided by the identified markers would be very useful in breeding programs to select cowpea lines resistance to BCMV disease and M 135 was found to be good for rapid and accurate screening of cowpea genotypes against BCMV disease resistance.
Efficiency, Risk, and Events in the Tehran Stock Exchange

This paper analyzes market index returns in the Tehran stock exchange (TSE) within the context of three variants of the Capital Asset Pricing Model: the static international; the constant-parameter intertemporal; and a Markov-switching intertemporal CAPM, which allows for the degree of integration with regional and international equity markets to be time-varying. We find that TSE returns are CAPM-efficient at monthly frequency. Moreover, we find evidence in support of international integration of the TSE. We conduct event studies for TSE returns to examine the impact of non-market events. We find that TSE returns have become less sensitive to non-market factors over time.
The changes in lipid composition of Pythium irregulare LX oomycetes at a stressful situation created with crude oil

A B S T R A C T Pythium irregulare oomycetes adapts with environmental changes including crude oil concentration by changing the composition of lipids in the cytoplasmic membrane and providing the required characteristics for adaptation in improper and stressful environmental situations. It was found that cultivation of Pythium irregulare LX oomycetes in the nutrient media with different concentrations of crude oil with 1.0, 2.0, 3.0, 5.0 and 10.0 (%), incubated for 5 days at 26-28°C on a rotary shaker (200 rpm) in aerobic conditions and deep culturing caused an increase in the lipid content and the unsaturation degree of fatty acids, confirming the correspondence between the increase of polar lipid/free sterol in the composition of membrane lipids’ ratio and that of polar lipids in general lipid fractions. Represented data shows that the process of adaptation of oomycetes to a stressful situation created with crude oil motivated the increase of the rate of membrane phospholipids with a high quantity of unsaturated fatty acids.
ERROR ANALYSIS AND VALIDATION FOR INSAR HEIGHT MEASUREMENT INDUCED BY SLANT RANGE

Abstract. InSAR technique is an important method for large area DEM extraction. Several factors have significant influence on the accuracy of height measurement. In this research, the effect of slant range measurement for InSAR height measurement was analysis and discussed. Based on the theory of InSAR height measurement, the error propagation model was derived assuming no coupling among different factors, which directly characterise the relationship between slant range error and height measurement error. Then the theoretical-based analysis in combination with TanDEM-X parameters was implemented to quantitatively evaluate the influence of slant range error to height measurement. In addition, the simulation validation of InSAR error model induced by slant range was performed on the basis of SRTM DEM and TanDEM-X parameters. The spatial distribution characteristics and error propagation rule of InSAR height measurement were further discussed and evaluated.
Etude du comportement en sollicitations extrêmes et de l'usinabilite d'un nouvel alliage de titane aeronautique : le ti555-3

L'alliage de titane Ti555-3, qui commence a etre utilise dans le domaine aeronautique, souleve des difficultes specifiques en usinage. Cette etude propose d'analyser l'usinabilite de cet alliage et de la comparer a un alliage de reference, le Ti-6Al-4V. Trois aspects ont ete explores. Des essais de coupe orthogonale instrumentes ont ete realises avec examen de la morphologie des copeaux. Cette etude a permis d'entrevoir l'influence de differents parametres de coupe sur les conditions d'usinage sur l'usinabilite du Ti555-3. Ainsi l'evolution des efforts de coupe, des temperatures dans la zone de coupe, la modification de la morphologie du copeau et les evolutions des contraintes residuelles ont pu etre mis en evidence. Des essais de comportement en cisaillement rapide ont permis de reproduire les observations faites sur l'usinage et de proposer l'identification de la loi de Johnson-Cook des materiaux que nous avons ensuite utilises dans des simulations de formation de copeaux. Une etude sur l'usinage assiste jet d'eau haute pression (UAJEHP) a ete menee a differentes vitesses de coupe et d'avance, avec assistance haute pression et a sec. Les copeaux obtenus ont ete examines geometriquement. Les contraintes residuelles du materiau genere par l'UAJEHP ont ete etudiees, leurs analyses ont permis de constater que cette technique reduit le niveau maximal des contraintes residuelles superficielles. L'utilisation de l'usinage assiste Laser (UAL) permet d'accroitre de nombreux aspects de l'usinabilite des alliages de titane. Cette etude a permis de montrer une influence tres significative du la puissance laser sur les efforts de coupe et sur l'integrite de surface des pieces usinees.
Availability assessment for multivalent and multifunctional systems

The degree in which a system is operational in a given horizon of time is the key indicator of service quality perceived by business users. The availability of critical systems is a function of the system reliability, maintainability and accessibility of support resources. Based on a comparative analysis, selecting an adequate method of availability assessment requires typical structures identification, reliability indices characterization and evaluation of non-reliability impact of the parts on system availability. Frequently used, binomial method leads to optimistic results due to bivalent states of components (operating/fault). For serial or parallel reliability structures, a realistic evaluation of system availability is obtained by applying polynomial or direct analysis based on reliability block diagram. A complex structure implies a successive assessment of structural components allowed by Monte-Carlo simulation providing accurate indices values. The paper presents a method of availability evaluation using Monte-Carlo simulation techniques which allows a comparative analysis of component impact on the system availability.
Study on Talent Introduction Strategies in Zhejiang University of Finance and Economics Based on Data Mining

Current talent introduction strategies are mainly based on staff arrangement, school discipline construction and so on, which depend on experience actually. However, this kind of empirical approach, lacking of scientific basis, usually causes problems in applications such as uneven scientific research level. In this paper, we intend to use data mining to analyze talent information of teachers in Zhejiang University of Finance and Economics, China from 2011 to 2017, and then to predict their capabilities in obtaining National Foundation of China. In a word, this paper aims to provide decision support for universities’ talent introduction strategies. After data cleaning and feature engineering, Apriori algorithm is applied to mine the association rules and find key factors that are closely related to teachers' acquisition of National Science Foundation of China. Then we make predictions with four kinds of models, including Logistic Regression Model, Decision Tree Model, Artificial Neural Network Model and Support Vector Machine Model. In the end, in order to get a more accurate model, Logistic Regression Model which has the highest accuracy of prediction is used to do stepwise regression.
ANALYSING THE LAW OF DYNAMIC SUBSIDENCE IN MINING AREA BY FUSING INSAR AND LEVELING MEASUREMENTS

Understanding the law of mining surface dynamic subsidence plays an important role in protecting the villages and other infrastructures against subsidence damage and disturbance. Unfortunately, the existed methods are mostly based on a few sparse leveling measurements, the accuracy and reliability of which are degraded when the feature points of the leveling measurements are lost in the processing of subsidence evolution. This paper presents a method to analysing the law of mining surface dynamic subsidence by fusing interferometric synthetic aperture radar (InSAR) and leveling measurements. By comparing the fitted results obtained by fusing InSAR/leveling and those only by independent leveling, it is shown that the InSAR/levelling fusion not only can make up the deficiency when the leveling measurements lost the feature points of dynamic subsidence, but also can improve the accuracy and reliability of results.
Analysis of Customer Reviews for Opinion Feature Summary

M.E. Research Scholar, P.G. Department of Computer Engineering, D.Y. Patil School of Engineering, Maharashtra, India Assistant Professor , P.G. Department of Computer Engineering , D.Y. Patil School of Engineering , Maharashtra, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The idea of opinion mining or sentiment analysis is to process a set of search results for a given entity, generating a list of attributes which are termed as opinion features of that entity. The system proposed helps in identifying the opinion features from online reviews by applying feature filtering criterion. Existing opinion feature extraction techniques are mainly based on mining patterns from a single review corpus which is most of the times dependent review corpus. Identifying candidate features which are from both corpora i.e. domain dependent and domain independent, this is captured by a measure called Domain relevance. Features extracted from this are specific to a domain. For each extracted candidate feature its respective Intrinsic Domain Relevance and Extrinsic Domain Relevance values are estimated. These values are compared with threshold and are identified as best candidate features. These opinion features contribute to summarizing product reviews which evaluates all the features.
Flux-linkage characteristics of switched reluctance motor

An important requirement in the modelling of switched reluctance motors (SRM) is the knowledge of their flux-linkage characteristics. Idealisation of the flux-linkage characteristics will result in a model which cannot predict the performance of the machine with sufficient accuracy. It is necessary therefore to determine flux-linkage characteristics as closely as possible. In this paper, a method of finding the flux-linkage characteristics is explained. The same method is demonstrated on a commercially available 4 kW, 8/6 pole OULTON SRM. The validity of the test results is checked by computing the static torque characteristics based on the measured flux-linkage characteristics and comparing them with experimentally measured static torque characteristics. The sources of measurement error are discussed.
Discrepancies between isochrone fitting and gyrochronology for exoplanet host stars

Using a sample of 68 planet-hosting stars, I carry out a comparison of isochrone fitting and gyrochronology to investigate whether tidal interactions between the stars and their planets are leading to underestimated ages using the latter method. I find a slight tendency for isochrones to produce older age estimates but find no correlation with tidal time-scale, although for some individual systems the effect of tides might be leading to more rapid rotation than expected from the stars’ isochronal age, and therefore an underestimated gyrochronology age. By comparing to planetary systems in stellar clusters, I also find that in some cases isochrone fitting can overestimate the age of the star. The evidence for any bias on a sample-wide level is inconclusive. I also consider the subset of my sample for which the sky-projected alignment angle between the stellar rotation axis and the planet's orbital axis has been measured, finding similar patterns to those identified in the full sample. However, small sample sizes for both the misaligned and aligned systems prevent strong conclusions from being drawn.
The Noblesse Oblige of Global Business; An Agenda for Research

This article charts the evolution and content of the current debate around the legitimate role of global business, in which business is charged with a broader responsibility for social, economic and environmental conditions in the developing world. Drawing from the human rights framework, the paper suggests there is a distinction between the ‘depths’ of responsibility presented in this debate, and identifies Sustainable Enterprise as a more active engagement of global business in addressing the challenges of globalization. Within the approach business attempts to create both financial and social value for the world’s economically-excluded human majority. Undertaken by a number of global corporations under a discursive frame that echos ideas of noblesse oblige, this approach presents a number of practical and conceptual challenges which are the focus of my doctoral research.
Trust, Workplace Organization, and Comparative Economic Development

I propose and test a bottom-up channel through which trust between parties to an exchange can go on to affect comparative economic development of societies as a whole. My approach revolves around the autonomy that employers (principals) grant to workers (agents), which is a key feature of workplace organization. Analyses using measures of the cultural component of trust confirm my hypothesis that higher social trust leads countries to specialize in industries characterized by high levels of work autonomy in their production processes. My key contribution is to integrate the microeconomic literature on workplace organization with the macroeconomic literature on trust. (JEL D23, F14, L23, M54, O43, O57, P50)
Infrageneric Grouping of Turkish Acantholimon Boiss. (Plumbaginaceae) Assessed by Numerical Taxonomy

2 Abstract: This study examines whether a satisfactory infrageneric grouping of Turkish Acantholimon can be obtained from phenetic clustering based on external vegetative and floral morphological characters. Forty-one morphological characters were selected and scored for the 52 species of Acantholimon found in Turkey and the data subjected to numerical taxonomic analyses. The results of this study suggest that there are basically three sections (Staticopsis Boiss., Tragacantina Boiss. and Acantholimon) and the sectional cut off line is drawn at 0.67 similarity level. A phenon line at 0.75 similarity level results in five subsections in sect. Staticopsis and three of these subsections (subsect. Robustea subsect. nov., subsect. Dianthifoliea subsect. nov. and Circinnatea subsect. nov.) are described for the first time.
A Survey on Set Similarity Search and Join

Set similarity search and join operations have a wide range of applications, including e-commerce, information retrieval, bioinformatics, and so on. Although extensive techniques have been suggested for set similarity search and join, there is literature on systematically categorizing these techniques and comprehensively comparing them. To bridge this gap, this paper provides a comprehensive survey of set similarity search and join. The survey starts from the basic definitions, framework, ordering and similarity functions of set similarity search and join. Next, it discusses the main filtering techniques used in the state-of-the-art algorithms, and analyses the pros and cons of these algorithms in detail. For set similarity join algorithms, we divide them into 2 main categories based on the key underlying techniques they use: prefix filtering based algorithms and partition based algorithms. Prefix filtering is the most dominant technique, so algorithms based on prefix filtering and their recent variants are analyzed thoroughly. Partition is also a promising technique as it can exploit comparisons between multiple partitions. Furthermore, some efforts on MapReduce based set similarity join algorithms are also discussed briefly. In the end, the open challenges and questions are presented for future pursue.
Piezo-force and vibration analysis of ZnO nanowire arrays for sensor application

To estimate the potential of ZnO nanostructures for force sensing applications, arrays of single nanowires and arrays of nanowire bundles have been fabricated by wet chemical growth method. The piezoelectrical and electrical properties of the single nanowires have been investigated by atomic force microscopy based techniques. The piezoelectric constant d33 = 15 pm/V has been determined from vibration analyses. The electrical response in the range up to 400 fA upon applying force between 40 nN and 1 μN has been recorded. The nanowire bundles were studied by electro-mechanical macro probing technique within the force range 1 10 mN, where a reproducible response in pA range has been measured. © 2016 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the organizing committee of the 30th Eurosensors Conference.
On the management of distributed learning agents

This thesis research concentrates on the problem of managing a distributed collection of intelligent learning agents across large and distributed databases The main challenge is to identify and address the issues related to the e ciency scalability adaptivity and compatibility of these agents and the design and implemention of a complete and co herent distributed meta learning system for large scale data mining applications The resulting system should be able to scale with many large databases and make e ective use of the available system resources Furthemore it should be capable to adapt to changes in its computational environment and be exible enough to circumvent vari ances in database schema de nitions In this thesis proposal we present the architec ture of JAM Java Agents for Meta learning a distributed data mining system and we describe in detail several methods to cope with the issues of scalability e ciency adaptivity and compatibility Through experiments performed on actual credit card and other public domain data sets we evaluate the e ectiveness and performance of our approaches and we demonstrate their potential
From listening to team commitment : individual and group level processes and outcomes shaped by active empathic listening behavior within self-managing work teams

The aim of this study was to show how listening plays a role in creating team commitment. Previous researchers already demonstrated that there is a relation between listening and team commitment. The current study adds relevant insights to previous listening literature as (1) it investigates a team based listening context rather than a dyadic one, and (2) it examines qualitatively the processes which arise based on perceived listening in teams rather than measuring the effects quantitatively. Based on qualitative interviews (n=26) and observations within 3 self-managing work teams of the health care sector, five positive (pleasant feelings, positive regard, trust, mutuality and team spirit) as well as five negative (unmet expectations, unpleasant feelings, angry feelings, resistance and distance) individual level outcomes and processes related to perceived listening are described. The Rose of Leary was used to describe and categorize interaction processes. Most interesting are the outcomes mutuality and resistance as this ‘states’ are very dynamic and shape group processes positively or negatively. (Inter-) Relationships between these processes and outcomes are presented. A trust giving listening environment is fundamental to mutuality, based on which teams are able to come up with more than the sum of their individual ideas. In this state teams improve quality, learn from each other, describe productive team work and a shared responsibility. This positive team work can result in a feeling of connectedness. Resistance on the other hand influences the concerned interaction partners as well as the indirect involved team members in a negative way. A lack of listening, can create a distance between team members. In the end this study demonstrates that a team based listening context is more complex than a dyadic one. Besides that it gets clear that listening does not influence team commitment directly, first teams have to create trust to create an open communication atmosphere. However, improving listening within teams will pay off when it comes to mutuality and team spirit.
MODIFICATION OF OXIDIZED ACTIVATED CARBON SURFACE BY Fe AND Mn FOR ARSENIC REMOVAL FROM AQUEROUS SOLUTION

Carboxylate groups on oxidized activated carbon surface were transformed to the forms of Mn 2+ and Fe 3+ (signed as OAC-Mn and OAC-Fe respectively) through multi-step procedure. This modified activated carbon then was used as an adsorption material for arsenic removing from aqueous solution. Synthetic water containing As(III) and As(V) was used for study of arsenic adsorption capacities of OAC-Fe and OAC-Mn. The similar study had also been done with original granular activated carbon for comparison. The effects of modified metals onto oxidized activated carbon, metals doses and initial arsenic concentration on the removal of As(III), As(V) have been surveyed and discussed. Batch adsorption experiments were carried out with arsenic concentration in the range of 1 – 50 mg/l. Langmuir models were used for the adsorption isotherm screening. The results showed that both of OAC-Fe and OAC-Mn have good adsorption capacities for As(III) but OAC-Fe has a greater removal capacity for As(V) than OAC-Mn. OAC-Mn was identified as a good material for the of As(III) removal, because of its oxidation efficiency of As(III) to As(V) during adsorption process.
Application of Wavelets and AutoCorrelation-Function For Cancellation of High-Frequency EMI Noise

− This paper presents a wavelet transforms and auto-correlation function based approach for the high-frequency switching noise cancellation. The noise is extracted by wavelet multi-resolution analysis. The enough features of signal in frequency and time domains are obtained by using arguments and magnitudes of complex wavelet transform as well as main frequency evaluation of auto-correlation function. The simulation results showed that the high frequency noise could be detected and reconstructed accurately and the average noise attenuation is larger than 20dB. This new method provides a multi-level process and multi-level description method for disturbance identification and cancellation.