Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic structure of populations of Aphis gossypii (Hemiptera: Aphididae) on citrus trees in Northern Iran

The cotton aphid, Aphis gossypii Glover (Hemiptera: Aphididae), is a serious pest of citrus in northern Iran, both because of the damaged caused by its feeding and as a vector of several viruses. The genetic structure of populations of A. gossypii on citrus trees at eight localities in Iran was surveyed using seven polymorphic microsatellite loci. Of 240 individuals tested, 142 multilocus genotypes (MLGs) were identified. The presence of multicopy genotypes and negative FIS values revealed that the major mode of reproduction in northern Iran is obligate parthenogenesis. The genotypic diversity of populations ranged between 0.24 and 0.93. Considerable genotypic diversity and a high frequency of unique MLGs, confirmed there is some cyclical parthenogenesis in the region. The analysis of molecular variance revealed high intrapopulation and weak interpopulation genetic differentiation (overall FST = 0.036) among the different populations. The UPGMA dendrogram of eight populations based on Nei's genetic distance indicated two clusters: genotypes from West of Mazandaran and Guilan provinces and those from East of Mazandaran. The same results were also obtained from the STRUCTURE analysis of these populations. This information on the genetic diversity of populations of A. gossypii in northern Iran could be useful for improving the Integrated Pest Management of this aphid.
Design of ANFIS Control System Using Memetic Method to Vibration Control on a Beam with Piezoelectric Materials

One of the most important considerations in structures design are analysis and control of structure vibrations. Hence how to control and suppress vibrations is one of the important issue in the design of structures. In this paper, we use neural-fuzzy inference system with memetic algorithm to dampen the vibrations. Memetic algorithm is a evolutionary algorithm and leads to better responses in an optimization problem. In this study, with respect to the evolution of behavior in an optimization problem, an adaptive strategy is proposed for the memetic algorithm. By defining an adaptive parameter for the algorithm in each iteration, number of population, mutation probability and entry conditions to local search algorithm can be detemined adaptively.The adaptive algorithm used to vibration control of beam with an ANFIS controller. The variable parameters to control network has been trained by memetic and genetic algorithms. Comparison of results shows that reduces the settling time and Maximum overshoot.
PROVINCIAL DISPARITIES AND STRUCTURAL UNEMPLOYMENT IN CANADA MCPHERSON

PROVINCIAL DISPARITIES AND STRUCTURAL UNEMPLOYMENT IN CANADA MCPHERSON, Sandra Hanson FLORES, Oscar Abstract We examine Canadian provincial structural unemployment by estimating the unemployment-vacancy relationship (Beveridge curve) for ten provinces and find that from 1988 to 2002 structural unemployment fell primarily in western provinces. A breakdown of the causes of provincial structural unemployment using a SURE estimation reveals that the generosity of the employment insurance is an important variable in the West while the mix of structural variables appear to be important for central and eastern Canada. We are unaware of any other studies evaluating the Beveridge curve at the provincial level for this period which was one of historically high unemployment for Canada.
Clinical profile of renal dysfunction in cirrhotic liver

Objectives: Renal dysfunction is a serious complication in patients with cirrhosis and associated with significant morbidity and mortality. Renal failure in cirrhosis is one of the most important risk factors when liver transplantation is being considered. The present study was carried out to analyze the profile of renal dysfunction in patients with cirrhosis. Methods: In this retrospective study we have included the medical records of one hundred cirrhotic patients admitted in Rajiv Gandhi Government General Hospital / Madras Medical College, Chennai. The definite etiology for chronic liver disease was noted. Clear definitions were used to define cirrhosis and etiologies of renal dysfunction. Chi-square test and odds ratio were used to measure the strength of association. Results: The mean age of patients was 48.32 10.19 years. The most common type of renal dysfunction was AKI (12%, 12/100) followed by HRS (7%, 7/100) and CKD (3%, 3/100). There is no significant association between the etiologies of cirrhosis and renal disorders (P = 0.25). There is a significant increase in the number of renal disorder with increase in the severity of cirrhosis (P = 0.03). Conclusion: Renal dysfunction has occurred in 22% of patients with cirrhosis and the most common cause is AKI (54%). Chronic kidney injury appears to be a rare diagnosis as seen in 3% of the cirrhotic patients. This study highlights the fact that we should take utmost care in treating chronic liver disease patients with regard to their renal function. Therefore early diagnosis, prevention and treatment of renal dysfunction can reduce the morbidity and mortality.
Assessing Measurement Noise Effect in Run-to-Run Process Control: Extends EWMA Controller by Kalman Filter

Recently, the Exponentially Weighted Moving Average (EWMA) controller has become a popular control method in Run-to-Run (RtR) process control, but the issue of measurement noise from metrology tools has not been addressed in RtR EWMA controllers yet. This paper utilizes a Kalman Filter (KF) controller to deal with measurement noise in RtR process control and investigates the output properties for steady-state mean and variance, and for closed-loop stability. Five disturbance models modeling semiconductor process disturbances are investigated. These disturbance models consist of Deterministic Trend (DT), Random Walk with Drift (RWD), Integrated Moving Average process (IMA(1,1)), AutoRegressive Moving Average (ARMA(1,1)), and Autoregressive Integrated Moving Average (ARIMA(1,1,1)). Analytical results show that a KF controller can be considered as an extended version of a RtR EWMA controller. In particular, the EWMA controller is a special case of KF in a filtering form without the capability of measuring noise. Simulation results also show that the KF has a better ability to deal with measurement noise than the EWMA controller.
Open Loop Optimistic Planning

We consider the problem of planning in a stochastic and discounted environment with a limited numerical budget. More precisely, we investigate strategies exploring the set of possible sequences of actions, so that, once all available numerical resources (e.g. CPU time, number of calls to a generative model) have been used, one returns a recommendation on the best possible immediate action to follow based on this exploration. The performance of a strategy is assessed in terms of its simple regret, that is the loss in performance resulting from choosing the recommended action instead of an optimal one. We first provide a minimax lower bound for this problem, and show that a uniform planning strategy matches this minimax rate (up to a logarithmic factor). Then we propose a UCB (Upper Confidence Bounds)-based planning algorithm, called OLOP (Open-Loop Optimistic Planning), which is also minimax optimal, and prove that it enjoys much faster rates when there is a small proportion of near-optimal sequences of actions. Finally, we compare our results with the regret bounds one can derive for our setting with bandits algorithms designed for an infinite number of arms.
METAGENOMICS AND FUTURE PERSPECTIVES FOR BIODETERIORATION AND BIODEGRADATION STUDIES

Summary Biodegradation is a long process and microorganism communities responsible for this process are complex, mostly composed mainly of fungi and bacteria. Some of these communities, depending on the substrate and micro climatic conditions, may be associated with cyanobacteria, algae and Archaea . Determination of the diversity of microorganisms that inhabit different art works is of major importance for restoration and conservation. The methods used in studying these communities in recent decades can be summarized to a few techniques (DGGE, cultured and uncultured methods, 16S rDNA clone library analysis etc), but these may und erestimate the diversity of communities compared to new techniques available (next generation sequencings methods) that provide more close to reality results . In this paper we tried to show the research findings in last few decades that point mi croorganism communities that populate the world heritage objects and we support the need to investigate these communities using new next generation sequencing methods. Even if conservation can be extended at millennia, preserving for centuries the works of art is a win for world culture.
Intellectual capital in tangible intensive firms: the case of Brazilian real estate companies

Purpose – The purpose of this paper is to clarify whether value created by real estate (RE) companies (tangible intensive firms) can be evaluated better using intellectual capital (IC) elements (human, structural and physical assets) or traditional accounting measures of efficiency (ROIC and profit margins). Design/methodology/approach – Correlations and cross-sectional OLS regressions with robust standard errors were used to find relationships between variables explaining value creation. Data were collected from 2007 to 2011 for Brazilian RE firms. To measure market risk, the authors used a new approach to deal with low liquidity. VAIC and I j ratios were used as IC proxies even though both have limitations. Findings – IC has a significant inverse relationship with market value. The more valuable companies showed lower levels of IC except for CEE which explains value as much as ROIC. Also, IC does not influence market risk caused by size and leverage and does not explain ROIC. Research limitations/implic.
SeqARM: An Association Rule Mining Algorithm Based on Sequence Constraint

Sequence constraint mainly considers the occurrence time of item, which can determine whether an association rule is valid. This paper proposes a novel algorithm SeqARM that aims to mine strong association rule with sequence constraint and runs on the second phase of association rule mining. SeqARM employs a fine data structure, named FI-Tree, which is used to save and find frequent itemsets according to a few characteristics of association rule. This work can dramatically reduce the number of invalid association rules, and speed up the procedure of association rules. At last, the experiments prove that SeqARM can improve the performance and effect of the association rule mining. Keywords-association rule; sequence constraint; SeqARM; FITree
Testing and validating measurement for halal requirement practices among food industries in Malaysia

The aimed of this study is to develop a validated and reliable questionnaire to measure halal requirement practices among food manufacturers in order to fulfill halal requirements. The study was conducted in Malaysia and the response rate for the Internal Halal Committee is 75%. Each item was developed based on act, standards and guidelines used by competent authority in halal certification. Then, it was measured using a 5 point Likert Scale. All the questionnaire items were elaborated and reviewed. Content and construct validity, item analysis, test-retest, and internal consistency were developed which was grouped into 4 dimensions; halal and thoyyib, internal process, halal assurance and staff management. The data were tested using the Statistical Package For Social Science (SPSS) software version 21.0 and Smart Partial Least Square (PLS) version 2.0. The developed instrument was validated and determined using exploratory factor analysis (EFA) for gaining the dimension and indicator reduction. Then it was followed by PLS for confirmatory factor analysis (CFA) and reliability test. The EFA result through SPSS analysis showed that the items were acceptable and consist of 4 factors. Meanwhile, the confirmatory results through Smart PLS also showed that the factor loadings for reflective measurement scale are good through 4 dimensions namely as Halal Requirement Practices Questionnaire (HRPQ).
Artificial selection for genetic adaptation to temperature extremes in Aphytis lingnanensis Compere (Hymenoptera: Aphelinidae)

Artificial selection was applied to several lines of Aphytis lingnanensis Compere (Aphelinidae) for more than 100 generations in an attempt to enhance tolerance to climatic extremes. Significant results included: (1) improved tolerance to temperature extremes as a result of selection; (2) irradiation failed to contribute measureably to enhanced tolerance; (3) the temperature tolerance was apparently well fixed genetically; and (4) general hardiness as indicated by adult longevity was improved coincidentally.
Molecular orientation in small-molecule organic light-emitting diodes

In research on small-molecule organic light-emitting diodes (OLEDs), the molecular orientation in vacuum-deposited amorphous films has been disregarded for around 20 years, and its effects on device performance have not been sufficiently discussed at the microscopic level. Only recently have the intermolecular interaction and subsequent horizontal molecular orientation in OLEDs been investigated and reported. In this article, an overview of the recent studies on molecular orientation in OLEDs is presented. The general properties of molecular orientation of OLED materials are shown, and its significant effects on the electrical and optical properties of devices are discussed to understand device physics and improve the future performance and reliability of OLEDs.
GENDER WARS - ANACHRONISTIC CONFLICT BETWEEN ORGANIZATIONAL CULTURE AND NATIONAL CULTURE?

The cultural differences play an important role in business life. This role became more and more stronger. But we cannot find a methodology which is precise and exhausted in all ways. Because of the mixture of the national and corporate cultures, it is hard to examine the influence of the culture in business interactions. That's why, it is very important to understand the difference between cultural comparison models and corporate culture models. So thus, we can identify the origin of the behaviour in various business situations, and draw conclusions in order to ease the responds in these situations. We can distinguish the universalistic models and the dynamic cultural models. The latter one seems to can handle more precisely the duality of culture (its variability and permanency). It can help in examining the culture, which is the mixture of the national and corporate cultures (the culture is like a mule). If we identify the origins of our behaviour in different business situations, we can draw a conclusion easier, and we can predict the partners behaviour in the future. I am using cultural metaphor in order to describe this phenomenon. So the question is: Where the horse ends, and where the donkey begins? Or in other words: What is the secret of a successful marriage?
A non-linear potential model to predict large-ampli tudes-motions: application to a multi-body wave energy converter.

The paper is dedicated to the study of non-linear w aves acting on three dimensional surface-piercing structures. A time-domain non-linear potential-flow model has been developed to predict the largeamplitude motions of devices in a prescribed seaway. While earlier models have been developed for sing le wave energy devices, this paper addresses multi-bod y devices, with particular application to the WAVEBOB wave energy device.
Determinants of Job Satisfaction in Young Russian Workers

A growing economic literature regards the analysis of job satisfaction; however, as for young people the investigations are still scarce. In this paper we analyse job satisfaction among Russian young workers by using the data collected for four items, the first of which concerns the general satisfaction about the job; the other three items concern specific aspects of job satisfaction with respect to work condition, earning, and opportunity for professional growth. The corresponding response variables are categorical with five ordered categories, from “absolutely unsatisfied” to “absolutely satisfied”. The longitudinal dataset also contains personal information about the respondents (gender, age, marital status, number of children, educational level, etc.). We estimate ordered logit models of job satisfaction with individual fixed effects for a panel data of Russian young workers, carrying out separate analyses for the general job satisfaction variable and three variables on specific aspects of job satisfaction. If wages adjusted to fully compensate workplace disamenities, we would expect that differences in job satisfaction across individuals would not be systematically related to wage differentials, ceteris paribus. But this is not the case for our panel: for all but one of the samples considered there is at least one job satisfaction variable with a significantly positive wage effect. We, therefore, interpret this result as a failure of the theory of compensating wage differentials in the Russian youth labour market. There is the interesting exception, though, that compensating wage differentials do seem at work among the older subjects in the panel. Our estimates also show strong gender and location effects.
BEYOND THE FEED AND BOARD: HOLISTIC PRINCIPLES FOR EXPRESSIVE WEB CURATION A Thesis by NICHOLAS LANE LUPFER

We develop holistic principles for expressive web curation through the iterative design and study of a new medium and system, IdeaMâché. Web curation is the process of gathering and assembling content into online exhibits. The linear organization of the feed—e.g., Facebook and Twitter—and board—e.g., Pinterest—constrains authors in expressing themselves. We conducted a field study of IdeaMâché with 472 undergraduate student users. Quantitative, qualitative, and visual data show how students expressed themselves and developed ideas. Interaction logs show how students utilized expressive operations. We analyze students’ creative works with ideation metrics of curation. Interviews expose users’ underlying motivations and experiences. Visual data is compelling. While iteratively designing IdeaMâché features in conjunction with the mixed methods data, we derive holistic design principles for media and systems supporting expressive web curation: direct clipping with context, diverse and heterogeneous media, freeform non-linear medium of assemblage, multi-scale organization, sketching as annotation, and novice-friendly direct manipulation command selection and parameter adjustment.
Speech Translation Statistical System for Teaching Environments and Conference Speeches

The synergic combination of different sources of knowledge is a key aspect in the development of modern statistical translators. The effect and implications of adding additional other-than-voice information in a voice translation system for teaching environments and conference speakers is described in this work. The additional information serves as the bases for the log-linear combination of several statistical models. A prototype that implements a real-time speech translation system from Spanish to English is presented. In the scenario of analysis a teacher, or presenter, as speaker giving its presentation could use a real time translation system for foreign students or participants. The speaker could add slides or class notes as additional reference to the voice translation system. Should notes be already translated into the destination language the system could have even more accuracy. In this paper, first, we present the theoretical framework of the problem, then, we summarize the overall architecture of the system, next, we specify the speech recognition module and the machine translation module, then, we show how the system is enhanced with capabilities related to capturing the additional information, and, finally, we present the performance results of the developed system. Keywords-pedagogical tool; adaptation; speech recognition; speech translation; natural language processing.
Australasian ( ACIS ) December 2005 Applications of data mining techniques in assisted reproductive technology

In this paper we present a clinically modified info-fuzzy network (IFN) algorithm and a modified composite association rule algorithm for the analysis of discrete valued clinical data obtained at the Westmead Fertility Clinic. The clinically modified IFN (CMIFN) algorithm takes into account the clinical significance of an attribute in relation to a specified target attribute as well as its statistical significance. This gives us the flexibility for exploring the data set according to the clinical question and hypothesis. The MCAR algorithm gives the flexibility of selecting the composition of the “if” node. It also recursively incorporates all relevant attributes. The results show that the MCAR algorithm is marginally better. On the other hand we note that the CMIFN has the ability to produce negative associations as well as positive and nil associations.
A Comparison of the Online Shopping Behavior Patterns of Consumer Groups with Different Online Shopping Experiences

The appearance of Internet does not only bring changes to consumption patterns, but also to the business modes of companies, as a result of which Internet has become a perfect sales channel. When a consumer shops online, s/he might be influenced by a huge variety of factors. In this study, ABC model of attitude was adopted to investigate empirically the influences of website characteristics and external stimulus on consumers’ online shopping behavior. A relationship model was also established to compare the differences of consumer groups with different online shopping experiences. Using convenience sampling, a total of 818 valid questionnaires were collected for the purpose of this study. Based on their online shopping experiences, consumers were divided into high frequency and low frequency groups in order to compare their consumption patterns as a group. According to the results, the two groups with different online shopping experiences were significantly different in three relational paths. To be specific: (1) Compared to the low frequency group, consumers in the high frequency group is more significantly positively influenced by website characteristics along the affection path during their online shopping. (2) Compared to the high frequency group, consumers in the low frequency group are more significantly positively influenced by website characteristics along the attitude path during their online shopping. (3) Compared with the low frequency group, a more significant positive influence is found among consumers in the high frequency group between consumer affection and consumer behavior path. These differences in the consumer behavior patterns of groups with different online shopping experiences according to the research results, therefore, could be used as references for online shopping business owners in their formulation of strategies.