Miracle-dz/UniFAR-FTUs huggingface dataset:
On the Deceiving Aspects of Mixing Diagrams of Deep Cumulus Convection

Mixing processes in deep precipitating cumulus clouds are investigated by tracking Lagrangian particles in a large-eddy simulation. The trajectories of particles are reconstructed and the thermodynamic properties of cloud air are studied using mixing diagrams. The trajectory analysis shows that the in-cloud mixing is entirely dominated by lateral entrainment and that there is no significant vertical mixing by downdrafts originating from cloud top. Yet the thermodynamic properties of the particles are located close to a line in the mixing diagrams, which appears to be consistent with two-point vertical mixing. An attempt is made to resolve this paradox using the buoyancy-sorting model of Taylor and Baker, but it is found that this model does not provide a full explanation for the location of particles in the mixing diagram. However, it is shown that the mixing-line behavior can be well understood from a simple analytically solvable model that uses a range of different lateral entrainment rates. Two further factors that determine the location of particles in the mixing diagram are identified: the removal of noncloudy air and precipitation effects. Finally, a thermodynamic argument is given that explains the absence of coherent downdrafts descending from cloud top.
Effect of Calcium and Bradyrhizobium Inoculation of the Growth, Yield and Quality of Groundnut ( A. hypogaea L.)

The study was aimed at determining the effect of fertilizer element calcium and Bradyrhizobium inoculation in improving the yield and quality of groundnut seed. The experiment was conducted in 1997-78 and 1998-99 in the clay loam soil. The fertilizing element calcium significantly affected all the yield attributes and quality up to 150kg/ha and then decline. There was also an increasing trend in qualitative characteristics like percentage of oil and protein content of groundnut with the increase in the level of calcium from 0-150 kg/ha. Bradyrhizobium fertilization affected the yield significantly but most of the yield attributes was not affected significantly. Bangladesh J. Sci. Ind. Res. 41 (3-4), 181-188, 2006
Relationships among Job Satisfaction, Organizational Commitment, and Turnover Intention: Evidence from the Gambling Industry in Macau

The purpose of this study was to examine the relationships among job satisfaction, organizational commitment, and turnover intention of workers in two casinos in Macau. The current study was a correlational study and used convenience sampling, and a total of 105 surveys were retrieved from employees working in two casinos in Macau. For our sample, we found that job satisfaction had a significant and positive correlation with organizational commitment. We also found that the association between job satisfaction and turnover intention was positive but not significant and the association between organizational commitment and turnover intention was negative but not significant. Finally, the regression model indicated that job satisfaction and organizational commitment were effective predictors of employeesi¯ turnover intention.
Towards Designing a Socially Assistive Robot for Adaptive and Personalized Cognitive Training

There is a growing body of multidisciplinary research on how robotic systems can be deployed in education and training by providing personalized tutoring session to the user. So-cially Assistive Robotics (SAR) is an eﬃcient tool for educational and health-care purposes. In this work, we present our SAR system for personalized and adaptive cognitive training. More speciﬁcally, we present the sequence learning task that provides measures for executive function assessment, which may indicate learning or even behavior disabilities in children. This work outlines the designing and evaluation process of such a system, including data collection and analysis. The long-term goal of this research is to develop interactive machine learning methods towards the design of an adaptive SAR system that provides a personalized training session by adjusting the session parameters and the robot’s behavior to maximize user engagement and performance.
The relationship between personality characteristics and coping with perceived stress in pregnant women referred to health centers in Mashhad

INTRODUCTION: One of the most critical periods of women’s life is pregnancy, which tends to induce large changes, including the physiological and psychological changes. These changes cause disorders such as stress in the mother and require the use of coping strategies. Personality factors affect the choice of appropriate coping strategies.This study aimed to determine the relationship between personality characteristics and level of perceived stress and coping strategy with in mother during all three trimester of pregnancy. Methods: This correlation studywas conducted on 500 pregnant women referred to 20 health centers in Mashhad with helping multi-stage sampling in 2014.The data collection tools included: Demographic, obstetrics & gynecology Questionnaire, Hardiness Questionnaire (Survey questionnaire personal view Kobasa), Optimistic Questionnaire (Life orientation testRevised), Revised Prenatal Coping Inventory and Perceived stress scale.Data were analyzed by statistical software SPSS version 16 using multiple regression Test andSpearman. Findings: Results showedthat there is a significant positive linear relationship between psychological hardiness, optimism and spiritual and preparationplanning coping strategies (p <0.0001) however it was correlatedsignificantly negatively with avoidance strategy (p <0.0001). More hardy and optimistic pregnant women received less stress (p<0.0001). Conclusion: Personality characteristicsare associated with coping strategies and stress levels in pregnant women.
Mediacje rówieśnicze – edukacja w kierunku pokojowego rozwiązywania konfliktów uczniowskich

A school is a place where a lot of misunderstandings, disputes and conflicts occur between students, that are often solved with aggression and physical violence. One of the tools that may be of help in solving of problems of that type is peer mediation. During such a mediation, an impartial and neutral mediator, being a properly trained student, helps his school friends to reach a mutually beneficial agreement. Peer mediation becomes a chance to quit solving problems in a controversial way based on competition and only one party winning, and replacing it with a dialogue and cooperation of both parties searching for a solution being a win-win situation. Such an approach to solving conflicts is a practical training in communicative skills and group cooperation, based on creativeness of young people looking for peaceful problem solving. They learn to take responsibil-ity for what they do. With that approach they show respect for another man and are open to his needs. The cooperation and dialogue oriented education started at school is at the same time a chance to solve also out-of-school conflicts constructively.
An asymptotic expansion for the vortex-induced vibrations of a circular cylinder

This paper investigates the vortex-induced vibrations (VIV) of a spring-mounted circular cylinder. We compute analytically the leading-order equations describing the nonlinear interaction of the fluid and structure modes by carrying out an asymptotic analysis of the Navier–Stokes equations close to the threshold of instability of the fluid-only system. We show that vortex-shedding can occur at subcritical Reynolds numbers as a result of the coupled system being linearly unstable to the structure mode. We also show that resonance occurs when the frequency of the nonlinear limit cycle matches the natural frequency of the cylinder, the displacement being then in phase with the flow-induced lift fluctuations. Using an extension of this model meant to encompass the effect of the low-order added-mass and damping forces induced by the displaced fluid, we show that the amount of energy that can be extracted from the flow can be optimized by an appropriate choice of the structural parameters. Finally, we suggest a possible connection between the present ‘exact’ model and the empirical wake oscillator model used to study VIV at high Reynolds numbers. We show that for the low Reynolds numbers considered here, the effect of the structure on the fluid can be represented by a first coupling term proportional to the cylinder acceleration in the fluid equation, and by a second term of lower magnitude, which can stem either from an integral term or from a term proportional to the third derivative of the cylinder position.
A Novel Approach for WEKA & Study On Data Mining Tools

Mining tools to solve large amounts of problems such as classification, clustering, association rule, neural networks, it is a open access tools directly communicates with each tool or called from java code to implement using this. In this paper we present machine learning data mining tool used for different analysis, Waikato Environment for Knowledge Analysis is introduced by university of New Zealand it has the capacity to convert CSV file to Flat file. Our work shows the process of WEKA analysis of file converts and selection of attributes to be mined and comparison with Knowledge Extraction of Evolutionary Learning not only analysis the data mining classifications but also the genetic, evolutionary algorithms is the best efficient tool in learning.
The Use of Recommender Systems in Demand Management in Intelligent Supply Chain Management

With the rapid development of internet technology, electronic commerce (e-commerce) has become a new development direction of the application of internet technology. E-commerce has the characteristics of opening, global, offering low cost and high efficiency services. The traditional supply chain cannot match the speed of the development of e-commerce, as a result, the intelligent supply chain management shows up and plays an important role in e-commerce. It not only uses internet as a method of communication, but also deeply excavate the potential application of internet throughout the whole process of e-commerce, such as strategic planning, inventory management, demand management and so on, by using electronic data interchange technology (EDI), inventory management technology, and recommender systems. In intelligent supply chain management, demand management predicts the demand using collected information from users’ behavior. For this reason, precise collection and analysis of information are quite necessary. This can be achieved by recommender systems, as they can collect data from users’ historical behavior and feedback, and then identify and recommend product or content to users that they are looking for in the front end. It is based on user interest and offers personalized services to users. With the help of recommender systems, the intelligent supply chain in e-commerce process can achieve a great improvement in efficiency. So, it is an important choice for the e-commerce-based enterprises to improve the sales ability of themselves and the loyalty from the users. This paper focuses on demand management in supply chain management, analyzing how recommender systems can affect the intelligent supply chain. Cases as Amazon, Alibaba are used to present explanations and make contrastive analysis. Based on theoretical exposition and case analysis, this paper discusses the concept of the recommender systems and their trend of development in the recent years, the problems appearing, and the potential solutions to the problems are put forward.
Rendu basé image avec contraintes sur les gradients

Le rendu base image consiste a generer un nouveau point de vue a partir d'un ensemble de photos d'une scene. On commence en general par effectuer une reconstruction 3D approximative de la scene, utilisee par la suite pour synthetiser l'image cherchee a partir des images sources. Malheureusement, les discontinuites dans les poids des images sources, dues a la geometrie de la scene ou au placement des cameras, causent des artefacts visuels dans la vue resultante. Dans cet article nous montrons qu'une facon d'eviter ces artefacts est d'imposer des contraintes supplementaires sur le gradient de l'image synthetisee. Nous proposons une approche variationnelle suivant laquelle l'image cherchee est solution d'un systeme lineaire resolu de facon iterative. Nous testons la methode sur plusieurs jeux de donnees multi-vues structures et non-structures, et nous montrons que non seulement elle est plus performante que les methodes de l'etat de l'art, mais elle elimine aussi les artefacts crees par les discontinuites de visibilite.
Building a 3-D Appearance Model of the Human Face

This paper describes a method for building an appearance model from three-dimensional data of human faces. The data consists of 3-D vertices, polygons and a texture map. The method uses a set of nine manually placed landmarks to automatically form a dense correspondence of thousands of points. This makes sure the model is able to capture the subtle details of a face. The model can be used for face segmentation and fully automated face registration.
Laboratory-generated primary marine aerosol via bubble-bursting and atomization

Abstract. A range of bubble and sea spray aerosol generators has been tested in the laboratory and compared with oceanic measurements from the literature. We have shown that the method of generation has a significant influence on the properties of the aerosol particles produced. Hence, the validity of a generation system to mimic atmospheric aerosol is dependent on its capacity for generating bubbles and particles in a realistic manner. A bubble-bursting aerosol generator which produces bubbles by water impingement was shown to best reproduce the oceanic bubble spectral shapes, which confirms previous findings. Two porous bubblers and a plunging-water jet system were tested as bubble-bursting aerosol generators for comparison with a standard nebulizer. The methods for aerosol production were evaluated by analysing the bubble spectrum generated by the bubble-bursting systems and the submicron size distribution, hygroscopicity and cloud condensation nucleus activity of the aerosols generated by the different techniques. Significant differences in the bubble spectrum and aerosol properties were observed when using different aerosol generators. The aerosols generated by the different methods exhibited similar hygroscopicity and cloud condensation nucleus activity behaviour when a sample of purely inorganic salts was used as a parent seawater solution; however, significant differences in the aerosol properties were found when using samples of filtered natural seawater enriched with biogenic organics. The presence of organics in the aerosol caused suppression of the growth factor at humidities above 75% RH and an increase in the critical supersaturation with respect to the generation from artificial seawater devoid of organics. The extent of the effect of organics on the aerosol properties varied depending on the method of particle production. The results of this work indicate that the aerosol generation mechanism affects the particles organic enrichment, thus the behaviour of the produced aerosols strongly depends on the laboratory aerosol generator employed. Comparison between bubble lifetimes in several laboratory simulations and the oceanic conditions indicated that it would require a considerable extension of the dimensions of the currently used bubble-bursting laboratory systems in order to replicate the characteristic oceanic bubble lifetimes. We analyzed the implications derived from the reduced bubble residence times in scaled systems, regarding marine surfactants adsorption on rising bubbles, and found that adsorption equilibrium is reached on a timescale much shorter than the bubble lifetime in small-scale laboratory generators. This implies that adsorption of marine surface-active material is not limited by surfactant transport to the bubble surface.
New biomarkers for assessing kidney diseases

The present invention relates to a metabolic biomarker set for assessing kidney disease comprising at least two amino acids, at least two acylcarnitines and at least two biogenic amines. Moreover, the present invention relates to a method for assessing kidney disease in a mammalian subject which comprises obtaining a biological sample, preferably blood and /or urine, from the subject and measuring in the biological sample the amount of at least two amino acids, of at least two acylcarnitines and of at least two biogenic amines, as well as to a kit adapted to carry out the method. By employing the specific biomarkers and the method according to the present invention it becomes possible to more properly and reliably assess kidney disease. Claims (OCR text may contain errors)
New constrains on Gliese 86 B - VLT near infrared coronographic imaging survey of planetary hosts

Aims. We present the results of multi epoch imaging observations of the companion to the planetary host Gliese 86. Associated with radial velocity measurements, this study aimed at dynamically characterizing with the orbital properties and the mass of this companion (hereafter Gliese 86 B), but also at investigating the possible history of this particular system. Methods. We used the adaptive optics instrument NACO at the ESO Very Large Telescope to obtain deep coronographic imaging to obtain new photometric and astrometric measurements of Gliese 86 B. Results. Part of the orbit is resolved. The photometry of Gl 86 B indicates colors compatible with a ~70 Jupiter mass brown dwarf or a white dwarf. Both types of objects fit the available, still limited astrometric data. If we attribute the long term radial velocity residual drift observed for Gl 86 A to B, then the mass of the latter object is ${\simeq}0.5\,M_\odot$. We analyse both astrometric and radial velocity data to propose first orbital parameters for Gl 86 B. Assuming Gl 86 B is a ${\simeq}0.5\,M_\odot$ white dwarf, we explore the constraints induced by this hypothesis and refine the parameters of the system.
Women's Part-Time Employment and Gender Inequality in the Family

This article examines the effects of full- and part-time employment of women on various aspects of a household's arrangements. It argues that only full-time employment represents a significant transformation in women's roles, thus providing the bargaining resources that allow them to affect the household's arrangements. The authors see part-time involvement in market work as a way to maintain, rather than change, the traditional division of labor. Based on data collected in the fall of 1994 from a representative sample of the Israeli Jewish population, the authors find that although full-time employment contributes to gender equality within the household, part-time employment does not. Husbands of fully employed wives are more likely to participate in housework chores that are female-dominated, and full-time employed women are more likely than part-time employed or housewives to take part in the household's financial and expenditure responsibilities. Part-time workers gain no advantage over housewives within their families.
A Measure of Search Efficiency in a Real World Search Task

Abstract : In visual search, preattentive processes locate potential target regions and selective attention is directed to potential target locations. The current experiments examined the role of global visual clutter in participants' ability to deploy attention to target regions containing relatively more or less local clutter. Participants searched maps of high, medium, or low global clutter for a target in a high or low local clutter region. Global and local clutter influenced search time, with larger effects of local clutter as global clutter increased. in addition, there was no effect of set size on search time. We propose that the preattentive precess of detecting regions likely to contain the target is less efficient as the amount of global clutter increases. Furthermore, in complex images and real world search tasks, global and local clutter measures can provide a good predictor of search efficiency when search set size is difficult to determine.
Differential expression of serum microRNAs in locally advanced esophageal squamous cell carcinoma patients undergoing radiochemotherapy in Xinjiang area

Objective: To investigate the changes of serum microRNA (miRNA) expressions in locally advanced esophageal squamous cell carcinoma (ESCC) patients before and after radiochemotherapy among different ethnic groups in Xinjiang area. Methods: Agilent microRNA gene chip was applied to detect serum miRNA levels of each subject. Results: 1. Compared with normal controls, 98 miRNAs were differentially expressed with dominant distinction of has-miR-483-5p and has-miR-5703 (3 times difference) in the ESCC patients; 2. Prior to the treatment, the Han patients had 160 differentially expressed miRNAs, Uygur had 92 and Kazak had 115 compared with the normal controls; 3. After the treatment, 124 miRNAs were differentially expressed in the Han patients, 103 in Uygur patients and 129 in Kazak patients compared with the normal controls; 4. Compared with the miRNA levels before the treatment, the Han patients exhibited 6 differentially expressed miRNAs, Uygur exhibited 2 and Kazak exhibited 4 after the treatment; 5. Overall, the Han and Kazak patients shared 6 differentially expressed miRNAs, the Kazak and Uygur patients shared 10, while Uygur and Han patients shared 17. Conclusions: Serum miRNAs are differentially expressed in ESCC patients, and those miRNAs may function as biomarkers for diagnosis of ESCC. Radiochemotherapy may alter serum levels of part miRNAs. In addition, there are different miRNAs profiles in ESCC patients among the three ethnic groups.
Effect of Maleic Anhydride Content and Ethanol Dilution on the Polymerization of Furfuryl Alcohol in Wood Veneer Studied by Differential Scanning Calorimetry

The polymerization kinetics of furfuryl alcohol in wood veneer were studied using differential scanning calorimetry (DSC) and were compared with weight gains of treated wood veneers. Maleic anhydride was used as the reaction initiator. DSC data were obtained for samples of the veneers that had been impregnated with neat furfuryl alcohol or with furfuryl alcohol diluted with ethanol, and using two ratios of maleic anhydride to furfuryl alcohol. The high ratio of maleic anhydride to furfuryl alcohol (1:9) favoured rapid polymerization at a lower temperature, whereas the lower ratio (1:19) resulted in a relatively slower rate of polymerization, which required higher temperatures to affect the reaction. A higher temperature also led to an increase in furfuryl alcohol evaporation from the prepared veneers. The DSC data was compared with data obtained from furfuryl alcohol impregnated wood veneers but without the addition of maleic anhydride. DSC data is in good agreement with weight percentage gains (WPGs) obtained for samples impregnated with differently composed solutions. While higher maleic anhydride contents led to higher WPGs, ethanol dilution inhibits polymer formation, resulting in lower WPG.
Numerical Investigation of Mid-Infrared Supercontinuum Generation in GeAsSe Based Chalcogenide Photonic Crystal Fiber Using Low Peak Power

We numerically investigate the use of photonic crystal fiber (PCF) through dispersion engineering of its cladding containing air-holes for supercontinuum (SC) generation in the mid-infrared region using low peak power. A 3.6-cm-long PCF made using Ge11.5As24Se64. 5 chalcogenide (ChG) glass with a hexagonal array of air-holes was optimized for obtaining zero-dispersion wavelength through dispersion tailoring around the pump wavelength of 4 μm. We have performed numerical simulations for such dispersion tailored ChG PCF with the peak power range between 0.25 kW and 2 kW. It was found through rigorous numerical simulations that an ultrabroadband mid-infrared SC spectra covering the wavelength range 2-8 μm which is equivalent to 2 octaves could be generated using pump pulses of 320 fs duration at a wavelength of 4 μm with a relatively low peak power of 2 kW by using our proposed ChG PCF design.