Miracle-dz/UniFAR-FTUs huggingface dataset:
Growth, productivity and fatty acid composition of oils of peanut genotypes submitted to different levels of water replacement

The aim of this study was to evaluate the agronomics, physiological and biochemical characteristics of different peanut seeds and plant genotypes. The procedures have been performed during the secondary crop in the agricultural year 2013 to 2014, after the peanut harvest in Barbalha, Ceara – Brazil. The experiment was laid out in split-plot in randomized complete block design with four replicates, constituting scheme 4×5 factorial analysis, providing four levels of replacement of ET0 (40, 70, 100 and 130%) and five genotypes of peanut (BRS Perola Branca, L7 Beje, Runner, BRS Havana, BR 1), which were measured: number of leaves, total phytomass, and total chlorophyll content was performed, as well as hundred-seeds weight, pods weight per plant, number of pods per plant and seed yield per plant oil yield and fatty acid composition. It is shown herein that the interaction between peanut genotypes and water restriction levels promote a decrease in plant growth, physiological factors, and biochemical production of oil, possibly due to a decrease in the photosynthetic metabolism, whereas the plants exposed to water stress conditions modulated all ecophysiological responses in favor of a better performance in the harsh environment. The significant differences exhibited by different cultivars in this study for oil content, some productive characteristics and fatty acids compositions could be attributed to the genetic make-up of a particular cultivar (BR 1), its place of the environmental to reach high oil quality. Knowing better combination effects of climatic fluctuations and botanical types on fatty acid composition would be useful in designing management practices to obtain a specific oil quality and improving predictions of crop models in northeastern Brazil. Key words: Arachis hypogaea L. , water deficiency, adaptability, tolerance.
Dynamical complexity of human responses: a multivariate data-adaptive framework

Established complexity measures typically operate at a single scale and thus fail to quantify inherent long-range correlations in real-world data, a key feature of complex systems. The recently introduced multiscale entropy (MSE) method has the ability to detect fractal correlations and has been used successfully to assess the complexity of univariate data. However, multivariate observations are common in many real-world scenarios and a simultaneous analysis of their structural complexity is a prerequisite for the understanding of the underlying signal-generating mechanism. For this purpose, based on the notion of multivariate sample entropy, the standard MSE method is extended to the multivariate case, whereby for rigor, the intrinsic multivariate scales of the input data are generated adaptively via the multivariate empirical mode decomposition (MEMD) algorithm. This allows us to gain better understanding of the complexity of the underlying multivariate real-world process, together with more degrees of freedom and physical interpretation in the analysis. Simulations on both synthetic and real-world biological multivariate data sets support the analysis.
Mathematical physics. — On the notion of ergodicity for finite quantum systems, by MIRKO DEGLI ESPOSTI, SANDRO GRAFFI and STEFANO ISOLA

— We show that the orginal definition of ergodicity of Boltzmann can be directly applied to finite quantum systems, such as those arising from the quantization of classical systems on a compact phase space. It yields a notion of quantum ergodicity strictly stronger than the notion due to von Neumann. As an example, we remark that the quantized hyperbolic symplectomorphisms (a particular case is the quantized Arnold cat) are ergodic in this sense.
Studies on Antibacterial Activity of Verbascum thapsus

The antibacterial activity of the methanolic and acetone leaf extracts of V. thapsus was determined invitro against medically important pathogens such as Escherichia coli, Yersinia pestis, Bacillus cereus, Pseudomonas aeruginosa, Listeria monocytogenes and Staphylococcus aureus following agar-well diffusion method using different concentrations (25%, 50%, 75% and 100%). Results showed low to significant antibacterial activity against the mentioned bacterial strains. Methanolic leaf extract was found to be more effective against selected pathogenic bacterial spp. as compared to acetone leaf extract. Further the leaf extract of both plants inhibited grampositive bacteria more efficiently than gramnegative bacteria. Therefore, the leaf extracts of these plants can be selected for further investigation to determine their therapeutic potential.
Formation of porous structure with subspot size under the irradiation of picosecond laser pulses

A study was presented in this paper on porous structure with microsize holes significantly smaller than laser spot on the stainless steel 304 target surface induced by a picosecond Nd:van regenerative amplified laser, operating at 1064 nm. The target surface variations were studied in air ambience. The estimated surface damage threshold was 0.15 J/cm2. The target specific surface changes and phenomena observed supported a complementary study on the formation and growth of the subspot size pit holes on metal surface with dependence of laser pulse number of 50-1000 and fluences of 0.8 and 1.6 J/cm2. Two kinds of porous structures were presented: periodic holes are formed from Coulomb Explosion during locally spatial modulated ablation, and random holes are formed from the burst of bubbles in overheated liquid during phase explosion. It can be concluded that it is effective to fabricate a large metal surface area of porous structure by laser scanning regime. Generally, it is also difficult for ultrashort laser to fabricate the microporous structures compared with traditional methods. These porous structures potentially have a number of important applications in nanotechnology, industry, nuclear complex, and so forth.
Short term Bayesian inflation forecasting for Tunisia

In order to explain clearly inflation forecasting and the dynamic of Tunisian prices, this paper uses two econometric approaches, the Standard VAR and Bayesian VAR (BVAR), to assess three models for predicting inflation, the mark-up model, the monetary model and Phillips curve over the period 1990 Q1 – 2013 Q4. In order to compare predictions, an out-of-sample estimation was conducted. We used the structural break test of Bai & Perron (1998, 2003) and the RMSE criterion for both inflation indices: CPI and PPI. We found that the Bayesian VECM mark-up model is best suited to forecast inflation for Tunisia. Our conclusions corroborate the literature of Bayesian VAR forecasting. Our findings indicate that the models which incorporate more economic information outperform the benchmark autoregressive models (AR (1) and AR (2)). The results reveal that forecasting with the BVECM markup model leads to a reduction in forecasting error compared to the other models. The results of the study are relevant to decision-makers to predict inflation in the short- and long-terms in Tunisia and may help them adopt the appropriate strategies to contain inflation.
The Sensitivity of an Empirical Model of Married Women's Hours of Work to Economic and Statistical Assumptions

This study undertakes a systematic analysis of several theoretic and statistical assumption s used in many empirical models of female labor supply. Using a singl e data set (PSID 1975 labor supply data) the author is able to replic ate most of the range of estimated income and substitution effects fo und in previous studies in this field. He undertakes extensive specif ication tests and finds that most of this range should be rejected du e to statistical and model misspecifications. The two most important assumptions appear to be the Tobit assumption used to control for sel f-selection into the labor force and exogeneity assumptions on the wi fe's wage rate and her labor market experience. Copyright 1987 by The Econometric Society.
An Investigation of Teacher Evaluation Systems and How They Can Be Transformed To Improve Teaching and Learning: A Change Leadership Plan

i PREFACE ii SECTION ONE: INTRODUCTION 1 Statement of the Problem 1 Rationale 2 Goals 2 Setting 3 SECTION TWO: ASSESSING THE 4 CS 4 Contexts 4 Culture 5 Conditions 7 Competencies 8 SECTION THREE: RESEARCH METHODOLOGY 11 Research Design Overview 11 Participants 12 Data Gathering Techniques 13 Data Analysis Techniques 13 SECTION FOUR: RELEVANT LITURATURE 15 Teacher Evaluation on the Home Front 15 The Power of Professional Development 17 An International Look 21 The Role of Technology: It’s More Than a Tool 24
Stability and loss in an ion-trap resonator

The stability and ion loss in a linear electrostatic ion trap are investigated experimentally and by numerical simulations. The decay of a stored 4.2-keV Ar + beam was monitored for various potential configurations of thetrap. Both classical trajectory calculations and optical models were used to numerically study the stability and dynamics of the trapped ions. Two different modes of trapping were identified with very different dynamical properties. It is found that the ion-loss processes are controlled by collisions both with residual gas species and among the stored ions.
INFLUENCE OF THE TRANSITIONAL PROCESSES TO MENTAL HEALTH

Summary. Mental health and its protection are given the central place and role in developmental aims, perspectives, and prosperity of a nation, which is a prerequisite of continuity and successful survival. Man as a specific psychological and social being, with characteristics acquired in a long natural evolutionary selection, must be able to control and direct the course of his behaviour towards ethical norms and needs of our time such as: tolerance, solidarity, constraint from violence, love, equality, and altruism. Recognizing the importance of mental health as the factor of social stability, as well as of the creation of the most humane society possible, we find it necessary to commit ourselves to the most adequate concept of protection and improvement of mental health in Serbia.
Vision-based Classification of Pakistani Sign Language

Automated sign language recognition is one of the important areas of computer vision today, because of its applicability in vast fields of life. This paper presents automated recognition of signs taken from Pakistani Sign Language (PSL). The paper presents empirical analysis of two statistical and one transformation based shape descriptors for the recognition of PSL. A purely vision based, efficient, signer independent, multi-aspect invariant method is proposed for the recognition of 44 signs of PSL. The method has proved its worth by utilizing a very small shape descriptor and giving promising results for a reasonable size of sign dictionary. The proposed methodology achieved an accuracy of 92%.
Vibration Based Methods For Damage Detection In Structures

Vibration based damage detection methods are among the most popular and promising approaches for health monitoring of structures. In this work a critical review of different methods for damage detection methods of structures is presented. The theoretical bases of the most popular methods based on the changes in the modal properties of the structures are deduced. The review includes the modal displacements, the mode shape slopes, the modal curvatures and the strain energy methods. The efficiency of all these methods is compared by using a finite element analysis of intact and damaged beams. The methods are tested experimentally by using a scanning laser vibrometer to measure the modal properties of specially prepared composite beams with defects. All this methods are compared with the damage detection method based on the analysis of the Poincare maps of the motion of the structures). Conclusions concerning the advantages and the applicability of the considered methods are deduced.
The effects of process technology on the physicochemical properties of peony seed oil

Peony seed oils (PSOs) were prepared using supercritical CO2 (SC) and compared with soxhlet extraction (SE) and mechanical screw press extraction (SPE) methods. The fatty acid compositions of the oils were determined, and the physicochemical properties of the oils, including free radical-scavenging activity, α-amylase and α-glucosidase inhibition, thermal and rheological properties were evaluated. The unsaturated fatty acids in the SE oils were higher than SC and SPE oils due to the higher percentage of olefinic, allylic methylene and allylic methine protons in the SE oils. The SPE oils also displayed the highest DPPH and ABTS+ radical scavenging activity at the tested concentrations. However, the SE oils showed stronger inhibitory effects on α-amylase and α-glucosidase enzymes under in vitro conditions when compared with the other oil samples. The three oils had similar melting and crystalline point due to similar contents of fatty acids (FAs). The SC oils had a lower Ea than the others.
WHAT CAN WE LEARN FROM TOP 10 PERCENT STUDENTS IN BIOEMCHANICS

The aim of this study was to revisit the previous study and identify the behaviours that help undergraduate students who achieved a final grade above 90th percentile and achieved most normalized gain of biomechanical concepts. A total of 149 students were recruited from introductory biomechanics classes from three public universities. The first version of Biomechanics Concept Inventory was given during the first and last week of the sessions with a 19-item questionnaire. Fifteen high achievement students in final grade and normalized gain were selected for further analysis. Students’ interest in biomechanics was identified as a common factor that related to high final grades and greatest normalized improvement. Students learning biomechanics in small groups and playing an active and important role may enhance learning and final grade.
The role of low-mass star clusters in massive star formation. The Orion case

To distinguish between the different theories proposed to explain massive star formation, it is crucial to establish the distribution, the extinction, and the density of low-mass stars in massive star-forming regions. We analyze deep X-ray observations of the Orion massive star-forming region using the Chandra Orion Ultradeep Project (COUP) catalog. We studied the stellar distribution as a function of extinction, with cells of 0.03 pc x 0.03 pc, the typical size of protostellar cores. We derived stellar density maps and calculated cluster stellar densities. We found that low-mass stars cluster toward the three massive star-forming regions: the Trapezium Cluster (TC), the Orion Hot Core (OHC), and OMC1-S. We derived low-mass stellar densities of 10^{5} stars pc^{-3} in the TC and OMC1-S, and of 10^{6} stars pc^{-3} in the OHC. The close association between the low-mass star clusters with massive star cradles supports the role of these clusters in the formation of massive stars. The X-ray observations show for the first time in the TC that low-mass stars with intermediate extinction are clustered toward the position of the most massive star, which is surrounded by a ring of non-extincted low-mass stars. This 'envelope-core' structure is also supported by infrared and optical observations. Our analysis suggests that at least two basic ingredients are needed in massive star formation: the presence of dense gas and a cluster of low-mass stars. The scenario that better explains our findings assumes high fragmentation in the parental core, accretion at subcore scales that forms a low-mass stellar cluster, and subsequent competitive accretion. Finally, although coalescence does not seem a common mechanism for building up massive stars, we show that a single stellar merger may have occurred in the evolution of the OHC cluster, favored by the presence of disks, binaries, and gas accretion.
Context Driven Concept Based Image Retrieval

Several semantic image search schemes have been recently proposed to retrieve images from the web. However, the query context is regularly ignored in these techniques and hence, many of the returned images are not adequately relevant. In this paper, we make use of context to further confine the outcome of the semantic search engines. For this purpose, we propose a hybrid search engine which utilizes concept and context for retrieving precise results. In the proposed model, an ontology is exploited for annotating images and accomplishing search process in the semantic level. Furthermore, the query of the user is modified with the concepts available in the ontology. Next, we make use of search context of the user and augment the query with the information extracted from the user’s context to additionally eliminate irrelevant results. Experimental results show that the combination of concept and context is effective in retrieving and presenting the most relevant results to the user.
Importance and Effectiveness of Brain Stimulation in the Treatment ofDepression and Insomnia

Title: Importance and effectiveness of brain stimulation in the treatment of depression and insomnia. Objectives: This article is to show the importance of brain stimulation in the treatment of depression and insomnia. Also to reduce the prevalence of depression and insomnia, to show the relationship between depression and insomnia, to bring for a solution to suicide caused by depression, to explore the use of brain stimulation in the treatment of depression and insomnia, to know the effectiveness and side effects of brain stimulation in the treatment of depression and insomnia. But most important purpose of this article is to show the importance and effectiveness of brain stimulation in the treatment of depression and insomnia. Methods and Findings: We went through about 15 articles published from 2006 till date. We used the key phrase brain stimulation in the treatment of depression and insomnia. We reviewed journals from PubMed/Medline, WHO factsheet, psychology today, NIMH (National Institute of Mental Health). We also retrieved articles from journals of physicians, NIMH Researchers, John Hopkins School of Medicine researchers. We acquire results from 7 experiments carried out by psychologists, researchers on the use of deep brain stimulation and cranial electrotherapy for the treatment of depression and insomnia, there were positive results but some of the positive results took time to manifest while some of the experiments didn’t have a positive result. This was dependent on the stage of the depression. Further down this article we talked more about the result. Conclusion: In this article it was concluded that deep brain stimulation and cranial electrotherapy can be used to treat depression and insomnia but it doesn’t work for every one or it might take longer to bring forth a positive outcome. Therefore further research should be carried out on the use of deep brain stimulation and cranial electrotherapy to cater for different stages of depression and insomnia.
Dealer-Based Brand Equity: The Role of Market Orientation and Relationship Marketing on Brand Equity

This study is to investigate the role of relationship marketing and market orientation strategy in developing brand equity from the dealer’s viewpoint, focused on automobile authorized independent sales dealers in Malaysia.Interestingly, the finding showed market orientation influenced the brand equity.But, the brand equity formation is by a function of relationship marketing and not restricted to the direct role of market orientation.Hence, to support the growth of both dealers and their firm’s future success, the study highlighted that relationship marketing activities is needed in any company’s strategy including in training activities as well as marketing events.
Does Anyone Read the Fine Print? Testing a Law and Economics Approach to Standard Form Contracts

A cornerstone of the law and economics approach to standard form contracts is the Oinformed minorityO hypothesis: in competitive markets, a minority of term-conscious buyers is enough to discipline sellers from offering unfavorable boilerplate terms. The informed minority argument is widely invoked to limit intervention in consumer transactions, but there has been little empirical investigation of its validity. We track the Internet browsing behavior of 45,091 households with respect to 66 online software companies to study the extent to which potential buyers access the standard form contract associated with software purchases, the end user license agreement. We find that only one or two out of every thousand retail software shoppers chooses to access the license agreement, and those that do spend too little time, on average, to have read more than a small portion of the license text. The results cast doubt on the relevance of the informed minority mechanism in a specific market where it has been invoked by both theorists and courts and, to the extent that comparison shopping online is relatively cheap and easy, suggest limits to the mechanism more generally.
Power Collection and Integration on the Electric Grid from Offshore Wind Parks

There is a lot of potential in offshore wind parks due to the amount of available area. The parks get bigger in size and will continue to grow in the future. In this article a new converter topology for offshore wind parks is proposed. This topology is meant to be for large offshore wind parks sited far from shore and it is based on DC collection and transmission. All the converters are located in the nacelle of the wind turbines and the turbines are connected in series directly connected to shore without any transformation stages. The electrical system, from the generator to the grid connection of the turbine, is modeled in PSCAD. The model consists of an induction machine, a 3- phase AC to 1-phase AC converter, a high frequency high power transformer and a full-bridge converter. The AC-AC converter has a new type of reverse-blocking IGBTs and the switches are controlled with a dedicated switching pattern. The simulations show that the switching pattern gives the expected square wave voltage from the AC-AC converter. The new converter topology reduces the converter losses due to fewer converter stages, the architecture of the reverse-blocking IGBT and the new switching pattern.
Improvement of the Numerical Method for Effective Refractive Index Calculation of Porous Composite Materials Using Microlevel Models

The numerical method of the effective refractive index of porous composite materials calculation was improved by implementation of microlevel cellular structural models. The proposed solution gives the ability uniformly to analyse complex structural inhomogeneities and to synthesize the corresponding index based on the simulation of electrostatic field. The proposed realization is simpler and takes less computations capacities in comparison to analogous simulation methods. The method was probed on the example of SiO2 nanoporous matrix with refractive index n = 1.426 at λ = 2.71 μm wavelength. The results of simulation are in good agreement with other analytical models from literature.