Miracle-dz/UniFAR-FTUs huggingface dataset:
From local wind energy resource to national wind power production

Wind power is one of the most established renewable power resources yet it is also one of the most volatile resources. This poses a key challenge for successfully integrating wind power at a large scale into the power grid. Here we present an analysis of the time scales associated with wind power from hourly to seasonal fluctuations and how combining spatially distributed wind power sources helps to reduce its volatility. The analysis, based on observed wind speeds, is then generalised in a simple statistical model to develop a tool which can estimate the power output profile from a particular consortium of wind power sources. As the estimator only uses the local, or the mean national, wind resource and the mean distance between the sites to estimate the joint power output profile, it can be used by developers to estimate the reliability of their joint power output and to form the most effective consortium.
Active Contours Model for Image Segmentation: A Review

As we all known, the start-of-the-art ACM methods can segment the objects actually. However, most of them are very time-consuming and inefficient. In this paper, we review all of these algorithms, discuss methods unifying energy minimization and curve evolution approaches and show the correspondence of level set methods to classical methods and recent advanced methods. Meanwhile, we proposed a novel fast active contours model for speed up the computational complexity.
Parallelization of the N-queens problem. Load unbalance analysis.

The paper presents an analysis of three parallelization structures of the N-queens problem, taking into account N processors. The focus has been set on investigating the adaptation of the architecture structure to the proposed algorithm type, so as to study the load unbalance in each case, for which two different metrics have been established. The experimental results and the efficient implementation of the algorithms are discussed together with the related current research lines.
Root Cause Analysis by a Combined Sparse Classification and Monte Carlo Approach

Abstract Classification methods with embedded feature selection capability are very appealing for the analysis of complex processes since they allow the analysis of root causes even when the number of input variables is high. In this work, we investigate the performance of three techniques for classification within a Monte Carlo strategy with the aim of root cause analysis. We consider the naive bayes classifier and the logistic regression model with two different implementations for controlling model complexity, namely, a LASSO-like implementation with a l 1 norm regularization and a fully Bayesian implementation of the logistic model, the so called relevance vector machine. Several challenges can arise when estimating such models mainly linked to the characteristics of the data: a large number of input variables, high correlation among subsets of variables, the situation where the number of variables is higher than the number of available data points and the case of unbalanced datasets. Using an ecological and a semiconductor manufacturing dataset, we show advantages and drawbacks of each method, highlighting the superior performance in term of classification accuracy for the relevance vector machine with respect to the other classifiers. Moreover, we show how the combination of the proposed techniques and the Monte Carlo approach can be used to get more robust insights into the problem under analysis when faced with challenging modelling conditions.
Resources foraged by Euglossa atroveneta (Apidae: Euglossinae) at Union Juarez, Chiapas, Mexico. A palynological study of larval feeding

Des echantillons de nourriture larvaire ont ete preleves chaque semaine durant une annee, du 31 mai 1990 au 29 mai 1991, dans 51 nids d'Euglossa atroveneta a Union Juarez, dans le Chiapas (Mexique). Leur analyse palynologique a montre que E. atroveneta butinait 74 especes de plantes (tableau I). On a observe des differences dans le comportement de butinage entre nids solitaires et nids parasociaux (figures 1 et 2), differences qui sont lies a la periode de nidification et aux preferences de chaque femelle. Au cours de l'annee E. atroveneta a presente un indice moyen de diversite de 0,83 figure 3) et un comportement de butinage heterogene (J'= 0,45) figure 4) avec un faible recouvrement des ressources (PS moyen = 0,38) entre les nids solitaires et les nids parasociaux etudies (figure 5). On a enregistre le plus grand nombre d'especes butinees et le plus grand indice de recouvrement pour les populations les plus nombreuses. Les ressources les plus importantes pour la nourriture larvaire sont au nombre de 22 et ont ete classees en : a) especes polliniferes : quatre taxons indetermines, Anthirhea sp. , Begonia biserrata, Cassia sp. , Combretum sp. , Commelina sp. , Cordyline terminalis, Dendropanax sp. , Legumineuses type 4, Lycianthes sp. , Rondeletia sp. , Saurauia sp. , Solanum aff. torvum, Solanum aff. tuerckheimii, Tibouchinia longifolia et b) nectaropolliniferes: Drymonia aff. strigosa, Kohleria elegans, Lonchocarpus sp. et Nautilocalyx aff. panamensis et toutes les Gesneriaceae a fleurs tubulaires. Certaines de ces especes sont associees a la pollinisation vibratile (Cassia et Solanum).
Motion Segmentation in Monocular Image Sequences

Detecting moving objects in image sequences is still a challenging topic in computer vision. Independently moving objects can be detected by separating the motion from the static scene. For this purpose a RANSAC-based algorithm was implemented to robustly detect flow vectors which belong to the background. Therefore the basic principles of the epipolar geometry are used and the fundamental matrix is estimated. As the estimation of the fundamental matrix is sensitive to noise, a refinement strategy was developed to approach the real, noiseless measurement data iteratively. So the influence of noise was considered explicitly in the epipolar geometry-based model. So, robust results with simulated data can be achieved even in the presence of noise.
Divergent evolution of wheat populations conducted under recurrent selection and dynamic management

Les effets de la selection sont etudies sur une population composite de ble : selection artificielle dans un programme de selection recurrente (RS) et selection naturelle dans un programme de gestion dynamique (DM). La population initiale, des populations de differents cycles de RS, et des populations maintenues huit annees dans quatre environnements en DM, sont comparees pour des caracteres agro-mrophologiques. Il est montre que RS et DM conduisent a des evolutions divergentes des populations. Peu de caracteres (hauteur des plantes, precocite, frequence de plantes barbues, sensibilite a l'oidium et a la rouille brune) suffisent a differencier les populations issues des deux systemes. Sauf pour la hauteur, la variabilite genetique a ete conservee en GD, soit a l'interieur des populations, soit grâce a la structuration entre populations. La variabilite a ete preservee egalement en RS sauf pour la resistance a la rouille brune, pour laquelle l'augmentation forte du niveau de resistance s'est accompagnee d'une perte de variabilite. En comparaison, DM pourrait avoir conduit a la selection de mecanismes plus multigeniques et a la conservation d'une plus grande diversite de genes de resistance. Les conditions pour une utilisation des populations DM comme source de variabilite pour le programme RS sont discutees. Il est propose d'introduire une selection artificielle dans certaines populations de DM afin d'en preserver les caracteristiques « cultivees ». L'interet en DM, de sites de multiplication presentant de fortes pressions parasitaires contrastees est souligne.
Momentum forcing of the quasi-biennial oscillation by equatorial waves in recent reanalyses

Abstract. The momentum forcing of the QBO (quasi-biennial oscillation) by equatorial waves is estimated using recent reanalyses. Based on the estimation using the conventional pressure-level data sets, the forcing by the Kelvin waves (3–9 m s−1 month−1) dominates the net forcing by all equatorial wave modes (3–11 m s−1 month−1) in the easterly-to-westerly transition phase at 30 hPa. In the opposite phase, the net forcing by equatorial wave modes is small (1–5 m s−1 month−1). By comparing the results with those from the native model-level data set of the ERA-Interim reanalysis, it is suggested that the use of conventional-level data causes the Kelvin wave forcing to be underestimated by 2–4 m s−1 month−1. The momentum forcing by mesoscale gravity waves, which are unresolved in the reanalyses, is deduced from the residual of the zonal wind tendency equation. In the easterly-to-westerly transition phase at 30 hPa, the mesoscale gravity wave forcing is found to be smaller than the resolved wave forcing, whereas the gravity wave forcing dominates over the resolved wave forcing in the opposite phase. Finally, we discuss the uncertainties in the wave forcing estimates using the reanalyses.
Acute effects of whole-body vibration on elastic charge time in trained male athletes

Whole-body vibration (WBV) has been shown to increase jump height, power and strength but the mechanisms behind these changes are not fully understood. The aim of this study was to investigate the influence of WBV on elastic charge time, a surrogate measure of tendon and aponeurosis stiffness. 7 trained males were exposed to 10 vibrations at 30 Hz ± 4 mm with 60 seconds rest between each exposure. Pre and post-tests were conducted immediately, 5, 10, 15, 20, 30 and 40 minutes following vibration exposure. A significant increase in elastic charge times of both vibrated (p=0.004) and control (p=0.024) limbs suggest whole-body vibration decreases tendon and aponeurosis stiffness, possibly due to a warm-up effect of the lower limbs. Further study of the muscle stiffness response to vibration will improve understanding of the mechanisms behind performance improvements following vibration exposure.
A Comparative Study of Academic Achievement of Traditional Classroom and Smart Classroom Technology in Relation to Intelligence

This paper focuses on comparing the effectiveness of smart classroom over traditional classroom in terms of academic achievement and its relation to intelligence.40 students of class VIII of age 13–15 years were selected, for the study and two groups were formed of 20 students each in experimental and control group. Experimental group was taught through Smart Board technology Classroom and control group through traditional classroom.
EFFECT OF HEALTH EDUCATION PROGRAM ON QUALITY OF LIFE IN PATIENTS UNDERGOING CORONARY ARTERY BYPASS SURGERY

Quality of life has emerged as an important concept and outcome in health and health care. This study was performed to evaluate the ability of the health education program to improve quality of life of patients with coronary artery bypass graft surgery (CABG). In pre operation period, 70 patients were randomized in two groups, experimental and control group (35 patients in each). The demographic information, SF-36 and Nottingham Health Profile questionnaire were administered before surgery to all patients. Patients in the experimental group received the educational intervention according to Mico’s education planning model. These patients were followed up to 1-month. At result, SF-36, Nottingham Health Profile questionnaires were administered 1-month after education by patients again. Significant improvements in quality of life between two groups, as measured by the Nottingham Health Profile, were seen in energy (P < 0.001), pain (P < 0.006), emotional reaction (P < 0.00001), sleep (P < 0.01), physical mobility (P < 0.00001) and total average quality of life (P < 0.00001). Significant improvements in quality of life between two groups, as measured by the SF-36, were seen in physical function (P < 0.00001), role limitations resulting from emotional status (P < 0.007), role limitations resulting from physical status (P < 0.05), mental health (P < 0.03), vitality (P < 0.02) and total average quality of life (P < 0.02). The findings demonstrate that health education result is improved quality of life for patients with CABG.
Enhancement of Anti-Robo1 Immunotoxin Cytotoxicity to Head and Neck Squamous Cell Carcinoma via Photochemical Internalization

Background: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. The long-term complications arising from standard therapy with surgery, chemotherapy and radiotherapy lower the quality of life (QOL) due to eating disorders, speech problems and cosmetic issues. Recently the importance of antibody therapy has increasingly come to be recognized for its capacity to enhance QOL. Robo1, an axon guidance receptor, has been received considerable attention as a monoclonal antibody target in various cancers. Methods and findings: We checked the expression of Robo1 and the cytotoxic effect of saporin-conjugated anti- Robo1 immunotoxin (IT) against several HNSCC cell lines. The Robo1 cell surface expression level estimated by flow cytometry using the antibody B5209B was approximately 220,000 copies in Robo1 over-expressed CHO (Robo1/ CHO) cells, and in HNSCCs, 22,000 copies in HSQ-89 cells, 3,000 copies in Sa3 cells, and few copies inSAS cells. Conventional IT treatment exhibited an inadequate cytotoxic effect even in HSQ-89 cells. When we added a photosensitizer and LED light illumination (650 nm), the cytotoxic effect was remarkably improved in HSQ89. With longer exposure, significant cytotoxicity was observed, even in Sa3 cells. Conclusion: These results suggest that the photochemical internalization (PCI) is a promising method for augmenting the cytotoxicity of IT against tumors. The drug delivery system shown in this study should be applicable to other targets with low level expression on cancer cells, thus widening the therapeutic window in rare cancers.
On the Impact of Inequality on Productivity Growth in the Short and Long Term: A Synthesis

Au debut des annees 1990, la traditionnelle relation de compromis «equite-efficacite» a ete mise en question par des preuves empiriques suggerant que l'inegalite des revenus avait un impact negatif sur la croissance. Cela a encourage le developpement de plusieurs theories alternatives fondees sur des marches incomplets, et de travaux empiriques destines a decouvrir quels mecanismes sont les plus importants. Cependant, des decouvertes empiriques recentes, aussi bien au niveau micro qu'au niveau macro, ont mis en question, sur plusieurs fronts, cette theorie des marches incomplets. Cet article examine la litterature theorique et empirique recente entourant ce debat, et pose la question de savoir si, une fois qu'on fait la distinction entre relation a court terme et relation a long terme, les opinions conflictuelles sont effectivement aussi inconsistantes qu'elles apparaissent a premiere vue. In the early 1990s, the
Fate of applied urea 15N in a soil-maize system as affected by urease inhibitor and nitrification inhibitor

A micro-plot field experiment with reduced urea N-15 application was conducted to study the effects of urease inhibitor NBPT (N-(n-butyl) thiophosphoric triamide) and nitrification inhibitor DMPP(3,4-dimethyl-1H-pyrazolium dihydrogen) on the fate of applied urea N-15; it aimed to find an efficient way to reduce the urea N application rate while improving the agronomic and environmental benefits. Five treatments were installed, i.e., 180 kg N/ha (N-1, conventional application rate), 126 kg N/ha (N-2, reduced to 70% conventional application rate), N-2 + NBPT, N-2 + DMPP, and N-2 + NBPT + DMPP. Compared with treatment N-1, all the other treatments had a significantly higher total N-15 recovery by both soil and plant (P l 0.05 48.20, 41.39, 37.69, 38.85 and 34.83% soil recovery for N-2 + NBPT + DMPP, N-2 + DMPP, N-2 + NBPT, N-2 and N-1 treatment, respectively; and 42.68, 40.86, 40.25, 37.18 and 36.30% plant recovery for N-2 + NBPT + DMPP, N-2 + DMPP, N-2 + NBPT, N-2, and N-1 treatment, respectively). In the plant N-15 recovery, the N-15 absorbed in grain/stem was highest in treatment N-2 + NBPT + DMPP. The maize biomass and the maize yield had a slight increase in treatment N-2 + NBPT + DMPP, compared with those in treatment N-1. In sum, for the maize production in study area, N-2 + NBPT + DMPP application method would be a feasible way to ensure the normal maize yield while improving yield quality, saving urea fertilizer, and protecting the environment.
Investigating the Efficacy of Three Divergent Output Tasks in the Acquisition of Formulaic Expressions

The significance of learning formulaic expressions in EFL/ESL is undeniable; however, few studies have been conducted on teaching through collaborative approaches. Accordingly, the current study intended to investigate the efficacy of three divergent output tasks including individual, collaborative pair, and group work in the acquisition of formulaic expressions among Iranian EFL learners. To this respect, 65 intermediate female students were divided into three experimental groups and were taught 76 formulaic expressions during 12 sessions. A test for participants’ homogeneity as well as a test of formulaic expressions including 60 idioms to measure the participants’ knowledge over the acquisition of idioms in two levels of comprehension and production was utilized. The findings of the present study indicated that the individual group outperformed the collaborative groups at the level of production which shed light on the negative side of collaboration.
Preparation of Citric Acid Crosslinked Chitosan/Poly(Vinyl Alcohol) Blend Membranes for Creatinine Transport

Preparation of membrane using crosslinking reaction between chitosan and citric acid showed that functional group modification increased the number of active carrier groups which lead to better transport capacity of the membrane. In addition, the substitution of the carboxyl group increased creatinine permeation of chitosan membrane. The transport capacity of citric acid crosslinked chitosan membrane for creatinine was found to be 6.3 mg/L. The presence of cyanocobalamin slightly hindered the transport of creatinine although compounds did not able to pass through citric acid crosslinked chitosan/poly(vinyl alcohol) blend membrane, as compounds no found in the acceptor phase.
How companies’ good deeds encourage consumers to adopt pro-social behavior

Purpose – This paper aims to investigate the effects of company corporate social responsibility (CSR) initiatives on two consumers’ pro-social behaviors closely related to the social cause promoted by the company, such as consumers donating money and volunteering time. In addition, the role of moral elevation as a mediating variable in such relationships is tested. Design/methodology/approach – After an exploratory study, the authors tested the role of moral elevation as a mediator that facilitates the effects of company CSR activities in social domains on two specific types of pro-social behavior displayed by consumers: donating money and volunteering time for the same cause sponsored by the company. The authors conducted two quantitative studies to test their hypotheses. In Study 1, they considered the two pro-social behaviors as intentions; in Study 2, they analyzed them as actual behaviors. In both studies, the authors conducted controlled experiments administered in the field. By using experimental a.
RELATIONSHIP BETWEEN MATHEMATICS MOTIVATION AND MATH ANXIETY IN DEAF STUDENTS OF ARAK AND QOM IN 2013- 2014 ACADEMIC YEARS

The purpose of this study was to investigate the relationship between mathematics motivation and math anxiety in Deaf Students of Arak and Qom in 91-92 academic years. For this field, all deaf Students in guidance school and high school of Arak and Qom selected and filled the mathematics motivations and math anxiety scales. Pearson correlation and regression were used for analyzing the data. Results indicated that there is negative correlation between mathematics value and its dimensions (intrinsic goal orientation, extrinsic goal orientation and task value) with math anxiety; there is negative correlation between mathematics expectancy and self-efficacy with math anxiety; there is positive correlation between mathematics affect(mathematics test anxiety) and math anxiety. According to regression results, the strongest variable to predict the math anxiety is mathematics test anxiety in deaf Students (p<0.05). Paying attention to mathematics motivation plays an important role in academic motivation among deaf students.
Why Publicly-Financed Health Insurance Schemes Are Ineffective in Providing Financial Risk Protection

This paper provides early and robust evidence on the impact of publicly-financed health insurance schemes on financial risk protection in India’s health sector. It conclusively demonstrates that the poorer sections of households in intervention districts of the Rashtriya Swasthya Bima Yojna , Rajiv Aarogyasri of Andhra Pradesh, and Tamil Nadu Health Insurance schemes experienced a rise in real per capita healthcare expenditure, particularly on hospitalisation, and an increase in catastrophic headcount – conclusive proof that
BLOGGING AS EMPOWERMENT:Self-presentation of bloggers in Surabaya, Indonesia

Apparently, the emerging of blog has created a lot of new communication opportunities. Bloggers choose and control the content of their blog in order to create their identity. This research focuses on how the freedom to choose and control the content of the media is being used by bloggers in Surabaya to present something outside of their stereotype. Using the self presentation theory, this study investigates how the Surabaya bloggers are involved in the cyberspace community. Specifically, there are five strategies namely ingratiation, competence, intimidation, exemplification, and supplication. By using the content analysis, it shows that ingratiation (48%) and competence (26%) are the top two strategies which are applied by the bloggers. Additionally, the researcher has found that the bloggers tend to soften the message when they give critic. This result indicates there is an empowered way of communication by blogging to break the typical stereotype.