Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Physio-Morphic Characters of Different Genotypes of Eggplant , Solanum melongena L . and its Association with the Fluctuation of Jassid , Amrasca biguttula biguttula ( Ishida ) Population

The experiment was conducted on different brinjal genotypes to find out the impact of physiomorphic plant characters on the jassid fluctuation. The seedlings of the six brinjal varieties i.e., Purple Long F1, Oval Round White F1, Virb-02-F1, Round black, Long shape white F1 and Dil Nasheen were sown by keeping the plot size 9 m x 12 m on 24 June 2013. All the recommended agronomic practices were applied without using any plant protection measures for the control of pest population. The data regarding the population of jassid was taken randomly from fifteen leaves of fifteen plants /treatment/replication in such a way that each variety in each replication was selected and tagged. The different physio-morphic plant characters were recorded at the crop maturity. The maximum variations were observed among the resistance and susceptible brinjal genotypes due to plant height, hair density, number of primary branches and length of hair and moisture percentage. The effects of plant characters of brinjal were correlated with the population of jassids and calculated their impact by processing the data into simple and multiple linear regression equation. The hair density on the lamina showed the maximum impact (52.1%) for the population fluctuation of jassid. The number of primary branches and height of plants showed the minimum impact on jassid. The hair density and length of hair on the lamina and veins showed a highly significant negative correlation with the jassids population while midrib hair density showed the negative and non significant effects, but by the simple linear equation the moisture percentage, plant height and number of primary branches showed non significant and positive correlation.
Robust minimum variance controller using over-parameterized controller

In this article, a robust, stable and fast calculable controller that reduces the variance to the minimum for minimal and non-minimal phase Linear Time Invariant (LTI) system is proposed. The calculation is based on an algorithm that overcomes the complexity of conventional methods. The algorithm utilizes Diophantine Equation to obtain overparameterized transfer function polynomial forms that contribute to the variance reduction. It analytically proves that increasing the order of the parameterized controller’s coefficients makes the variance converge to the minimum, while maintaining the same simplicity of calculation. Simulated examples for different LTI models support our findings.
Creating Brand Commitment as an Outcome of Brand Prestige , Brand Familiarity and Brand Passion : The Evidence of Young Costumers in Franchise Restaurant ADITYA PANDOWO

The aim of this research is to explore the antecedents and consequences of brand passion based on prestigeandfamiliarity of the brand. Since the passion of customers emerges, they intend to love and begin to commit with the brand. As much as 230 young customers taken by purposive sampling are contributed in this study. The participants are young customers who consume in fast food restaurant regularly. The chosen participants are considered as hedonic consumers. The results show that both brand prestige and brand familiarity are influencing brand passion and brand commitment.
The Performance Measures of Primary Health Care Quality: Experiences of Morocco Primary Health Centers during the ‘Quality Contest’ in 2010-2014 (41 Centers Audited)

Objectives: The purpose of this article is to discuss the concept of performance measurement in primary health care through a framework called “Quality Contest (QC). ” QC is used as a management tool and was implemented from 2007 to improve the quality of the Moroccan health care. The QC encompasses self-assessment, audit, feedback, and the development of improvement plan. Methodology: The audit peer listed 42 primary health care centers between 2010 and 2014 in four editions. The framework is a self-assessment guide which is made up of 42 items divided into 6 Domains. It was filled by the team of primary health center and a scoring guide for auditors including the expectation horizons. Results: This approach is one recommended in this process (CQ). Performance is evaluated according to the dimensions of the conceptual framework based on the stages of the Deming Cycle (Plan, Do, check, and improve). The overall average performance is 42 % with a minimum score of European Scientific Journal March 2017 edition vol.13, No.9 ISSN: 1857 – 7881 (Print) e ISSN 18577431 387 17% and a maximum score of 88%. However, the poor performance is noted for the various dimensions: Customer Satisfaction (D1) 39%, Safety and Responsiveness (D4) 39%, and Partnership/Community Participation (D6) 39%. The performance according to the steps of the Deming wheel notes a decrease: step plan 61%, step Do 50%, step check 34%, and step improve 14%.
Determinants of Deposit Bank Profitability : Evidence from Turkey

This study aims to investigate the impact of bank-specific and macroeconomic factors on deposit bank profitability in Turkey. To present the significance of these variables OLS methodology is performed to construct multiple regression analysis. Monthly data is employed for the period over 2006:1 to 2016:2. Empirical results suggested that, equity over total assets, non-performing loans to total cash loans, net interest revenues to average total assets, and central bank policy interest rate have a significant impact over return on assets while non-interest income over total assets, market share of deposit banks in banking sector, operational expenses to average total assets, and exchange rate are not statistically significant. Also, effect of recent global financial crisis on bank performance is significantly negative. Indeed, result of this study provide supportive evidence that financial crisis adversely affected banking industry performance in Turkey. JEL Classification: C51, G21
Simulation for noise cancellation using LMS adaptive filter

In this paper, the fundamental algorithm of noise cancellation, Least Mean Square (LMS) algorithm is studied and enhanced with adaptive filter. The simulation of the noise cancellation using LMS adaptive filter algorithm is developed. The noise corrupted speech signal and the engine noise signal are used as inputs for LMS adaptive filter algorithm. The filtered signal is compared to the original noise-free speech signal in order to highlight the level of attenuation of the noise signal. The result shows that the noise signal is successfully canceled by the developed adaptive filter. The difference of the noise-free speech signal and filtered signal are calculated and the outcome implies that the filtered signal is approaching the noise-free speech signal upon the adaptive filtering. The frequency range of the successfully canceled noise by the LMS adaptive filter algorithm is determined by performing Fast Fourier Transform (FFT) on the signals. The LMS adaptive filter algorithm shows significant noise cancellation at lower frequency range.
ECONOMICS SERIES SWP 2012 / 9 Asymmetric Nash Bargaining Solutions : A Simple Nash Program Nejat Anbarci and

This article proposes a simple Nash program. Both our axiomatic characterization and our noncooperative procedure consider each distinct asymmetric and symmetric Nash solution. Our noncooperative procedure is a generalization of the simplest known sequential Nash demand game analyzed by Rubinstein, Safra and Thomson (1992). We then provide the simplest known axiomatic characterization of the class of asymmetric Nash solutions, in which we use only Nashs crucial Independence of Irrelevant Alternatives axiom and an asymmetric modi cation of the well-known Midpoint Domination axiom. JEL classi cation: C78; D74
Potential Drug-Drug Interactions in Critically Ill Medical Patients: A Cross-Sectional Study

Please cite this paper as: Hosseini E, Shojaei L, Karimpour H, Shahbazi F. Potential Drug-Drug Interactions in Critically Ill Medical Patients: A Cross-Sectional Study. J Pharm Care 2018; 6(3-4): 52-57. Introduction prophylactic purposes. This situation may place them at a higher risk for potential drug-drug interactions (pDDIs). Drug interactions may increase hospital stay and total cost (1,2) which include drug-drug interactions, drugfood interactions and drug-disease interactions (3). A wide range of potential drug interactions have been found in previous studies (4-6). Common features among the majority of critically ill patients are their acuity, complex pathophysiologic states and the use of a large number of pharmacologic agents in their management. On average, these patients have six to nine drugs prescribed per day while being cared for in the critical care unit (6). Due to the complexity of the pharmacotherapy involved in the simultaneous use of several drugs and various therapeutic classes, critically ill patients are at an increased risk for 2018
International English Language Testing System (IELTS) Research Reports 2009: Volume 9

Volume 9 of the IELTS Research Reports brings together six empirical studies, through collaborative working with researchers from around the world. The Volume 9 studies focus on aspects of the individual test modules of IELTS, and draw invaluable conclusions for the development of the test. Indeed, the contents deal with contemporary themes of direct relevance not just to the IELTS test producers and other IELTS stakeholders but to the wider language teaching and testing community.
Variation in needle anatomy of Picea omorika ( Pinaceae ) plants belonging to different gene pools in natural populations on Tara Mt . in Serbia

Picea omorika (Serbian spruce) is a stenoendemic species whose current distribution range is restricted to refugial habitats in W Serbia and E Bosnia and Herzegovina. We analyzed variability in the anatomical structure of needles in populations from Tara Mt. which had previously been found to belong to two gene pools characterized by different history and levels of genetic diversity. Needle anatomy was investigated on transverse, sagittal and longitudinal sections and 28 characters were measured. Descriptive statistics, one-way and two-way ANOVA, principal component analysis (PCA), canonical discriminant analysis (CDA) and cluster analysis (UPGMA) were performed to describe the overall anatomical variability and relationships between individuals from three populations. We found that plants originating from different gene pools showed significant anatomical differences. The main differences between the populations were related to needle thickness and width, dimensions of the mesophyll, vascular bundle and endodermis, volume and number of the intercellular spaces and dimensions of resin ducts.
Title Identification of neurodevelopmental trajectories in infancy and of risk factors affecting deviant development : a longitudinal birth cohort study

Background: We investigate patterns of neurodevelopmental trajectories in infants using a representative population, and identify risk factors that predict delayed growth. Methods: Participating infants (n = 952; 82.8% of the total sample) were assessed by Mullen Scales of Early Learning at 7 time-points from 1 month to 24 months of age. Mothers were recruited in early pregnancy and data on demographic characteristics were collected during pregnancy. Trajectory patterns were investigated using latent class growth analysis and risk factors for the derived trajectory classes were investigated by multinomial logistic regression. Results: Participants were found to be a fairly representative sample with respect to their demographic characteristics. Five classes of high normal (11.5%), normal (49.2%), low normal (21.2%), delayed (14.1%), and markedly delayed (4.0%) were identified. The markedly delayed class was characterised by overall delay from the early developmental stages; notably, such delay first became salient in motor domains and was then exceeded by language domains, especially receptive language. This class was predicted by male sex (odds ratio 4.0; 95% confidence interval 1.7-9.1), small for gestational age (2.8; 1.0-7.5), low placenta-to-birthweight ratio (2.8; 1.2-6.4), and low maternal education (4.7; 1.2-19.0). The delayed class was characterised by gradual downward deviation after first birthday, and was predicted by male sex (2.5; 1.5-4.2), preterm birth (4.4; 1.612.6), and advanced paternal age (1.9; 1.0-3.5). Conclusions: Our results demonstrate that about 1 out of 5 infants exhibits delayed neurodevelopment. Infants with distinct patterns of delayed trajectories and varying risk factors are considered to have different pathophysiological mechanisms.
Towards Bridging the Gap Between Visual Cybersecurity Analytics and Non-Experts by Means of User Experience Design

Figure 1: The gap: (a) The mental gap between users and the CS world. The expert can bridge it by VA and mental effort. Non-expert needs support by UX. (b) The gap to the expert can be caused by limited mental capacity and the additional gap to non-experts by the lack of incentive and knowledge (c) A vision how the four research areas could work together, enveloped by empathy and domain knowledge.
The Effects of Different Stages of Education on Income across Countries∗

This paper provides cross-country panel estimations of the returns to the stages (primary, secondary, and tertiary) of education using an aggregate production function approach. In the production function, the human capital is modeled in the Mincerian way to obtain a log-linear equation. To take into account the likely heterogeneity among countries, we create subsamples of countries based on their development level and the quality of the schooling. Our estimates from various methods point to heterogeneous impacts of schooling (by levels) across countries. In particular, tertiary schooling seems to have a more important effect in countries with higher level of development and schooling quality, while primary (and secondary) schooling seems to play a more important role in relatively less developed countries with lower schooling quality.
July 2019 Visualization of Uncertain Boundaries of Undersea Features

There have been several studies that detect, measure, analyze, and visualize the undersea features by using technologies in multiple disciplines including geography and oceanography. However, definitions of the undersea features often vary among the existing leading literature. Due to this reason the geographical boundary for a certain undersea feature is sometimes not identical among the definitions. In this study, we explore semantic uncertainty in the definitions of some undersea features and apply approaches from fuzzyset theory and geographic information science on empirical bathymetric data to visualize the uncertain boundaries of the undersea features. Results from this study demonstrate that the representation based on the fuzzy-set approach can be useful for dealing with the semantic uncertainty of the undersea features.
! ! ! ! ! ! Developing NEW SCALES FOR ASSESSING ENGLISH AND GERMAN LANGUAGE MASTERY MOTIVATION ! !

Developing NEW SCALES FOR ASSESSING ENGLISH AND GERMAN LANGUAGE MASTERY MOTIVATION ! Krisztián Józsa! Introduction ! This paper is dedicated to Marianne Nikolov on the occasion of her birthday. Some years ago we had a joint project focused on language achievements in English and German (Józsa & Nikolov 2005; Nikolov & Józsa, 2006). I really enjoyed that collaboration with Marianne and learned a lot. In her study published ten years ago, she wrote that studies on foreign language learning motivation had a renaissance (Nikolov, 2003). This statement still holds true today. Moreover, we can even say that research on motivation has become more intense in the past decades. In her study mentioned above, Nikolov compared foreign language learning motivation of learners of English and German. This paper attempts to carry out a similar analysis, focusing on language learning motivation in English and German. The aim of my research was to explore mastery motivation among Hungarian learners of English and German. A new scale was developed to assess language mastery motivation. The first piloting of the questionnaire took place in September 2013. Participants of the cross-sectional study were students from grades 4, 6, 8, and 10; a total of 775 school children. The present paper summarizes the main findings of this study.
A brown powder and different product packages of “spice-like” herbal incenses were analyzed using a systematic identification approach based on liquid chromatography with diode array detector (HPLC-PDA) and gas chromatography mass spectrometry (GC-MS)

A brown powder and different product packages of “spice-like” herbal incenses were analyzed using a systematic identification approach based on liquid chromatography with diode array detector (HPLC-PDA) and gas chromatography mass spectrometry (GC-MS) with computer based library search against spectral libraries. However, the most predominant compound in the methanolic sample solutions could not be identified. In order to elucidate the chemical structure, a more extensive analysis of the material was initiated using liquid chromatography mass spectrometry (LC-MS), electrospray high resolution mass spectrometry (ESI-HRMS) and 1H, 13C and 19F nuclear magnetic resonance spectroscopy (NMR), which allowed the identification and characterization of the major compound as methyl 2-[[1-(5-fluoropentyl)indole-3-carbonyl]amino]-3,3-dimethyl-butanoate (5F-MDMBPICA). The goal of this study is to provide analytical information for the identification of this new tert-leucinate class synthetic cannabinoid by various analytical methods.
Current Food Classi fi cations in Epidemiological Studies Do Not Enable Solid Nutritional Recommendations for Preventing Diet-Related Chronic Diseases : The Impact of Food Processing 1 , 2

To date, observational studies in nutrition have categorized foods into groups such as dairy, cereals, fruits, and vegetables. However, the strength of the association between food groups and chronic diseases is far from convincing. In most international expert surveys, risks are most commonly scored as probable, limited, or insufficient rather than convincing. In this position paper, we hypothesize that current food classifications based on botanical or animal origins can be improved to yield solid recommendations. We propose using a food classification that employs food processes to rank foods in epidemiological studies. Indeed, food health potential results from both nutrient density and food structure (i.e., the matrix effect), both of which can potentially be positively or negatively modified by processing. For example, cereal-based foods may be more or less refined, fractionated, and recombined with added salt, sugars, and fats, yielding a panoply of products with very different nutritional values. The same is true for other food groups. Finally, we propose that from a nutritional perspective, food processing will be an important issue to consider in the coming years, particularly in terms of strengthening the links between food and health and for proposing improved nutritional recommendations or actions. Adv Nutr 2015;6:629–38.
Superior myeloma response with bortezomib-based regimen in multiple myeloma patients with renal impairment

Objectives: We aimed at retrospectively evaluating the role of bortezomib-based, thalidomide-based, and vincristine-adriamycin-dexamethasone (VAD) regimens on the myeloma response and reversibility of renal insufficiency in 130 consecutive newly diagnosed patients with renal impairment. Methods: Between May 2005 and February 2014, 130 consecutive unselective patients with newly diagnosed multiple myeloma and RI were treated with bortezomib-based, thalidomide-based, and VAD regimen at our institute. Patients were divided into three groups according to the type of different induction regimens. Results: A myeloma response was achieved in 92.4% of patients in group B, in 75% in group T, and in 39.3% in group VAD (P=0.000). A complete recovery of renal function (renal complete response) was observed in 56.1% of patients treated with bortezomib, in 38.9% with thalidomide, and in 28.6% with VAD (P=0.033), a significant improvement of renal function (≥ renal PR [partial response]) was observed in 63.6% of patients treated with bortezomib, in 66.1% with thalidomide, and in 42.9% with VAD (P=0.162). Conclusion: prompt initiation of bortezomib or thalidomide based regimen for newly diagnosed myeloma patients with renal impairment, helps in achieving a rapid effective response rate and high rates of renal recovery.
Student-Produced Podcasts in Language Learning: Exploring Student Perceptions of Podcast Activities

Podcasts are a useful tool for developing speaking skills in language acquisition settings, particularly within the context of the emerging Mobile Assisted Language Learning (MALL). While much research has emphasized the effectiveness of teacher-produced podcasts, this study seeks to address the gap in knowledge on student-generated podcasts in language learning. In addition to highlighting some of the main pedagogical considerations of using podcasts in language learning, this paper explores students’ perceptions of podcasts as a learning tool. To this end, this study describes the results of two surveys which were conducted with two different student cohorts over the course of two years. The surveys explored the students’ levels of acceptance and enjoyment of activities in which they had to produce their own podcasts, as well as the perceived learning benefits. The discussion section describes a range of positive learning outcomes and highlights the pedagogical implications of using podcasts in class. The paper concludes with some practical suggestions for the effective use of student-generated podcast activities in the language classroom.
OP-QJEC150027 1975..2026

I replicate and extend the seminal work of Camerer et al. (‘‘Labor Supply of New York City Cabdrivers: One Day at a Time,’’ Quarterly Journal of Economics, 112 [1997], 407–441), who find that the wage elasticity of daily hours of work for New York City taxi drivers is negative and conclude that their labor supply behavior is consistent with reference dependence. In contrast, my analysis of the complete record of all trips taken in NYC taxi cabs from 2009 to 2013 shows that drivers tend to respond positively to unanticipated as well as anticipated increases in earnings opportunities. Additionally, using a discrete choice stopping model, the probability of a shift ending is strongly positively related to hours worked but at best weakly related to income earned. I find substantial heterogeneity across drivers in their elasticities, but the estimated elasticities are generally positive and rarely substantially negative. I find that new drivers with smaller elasticities are more likely to exit the industry, whereas drivers who remain quickly learn to be better optimizers (have positive labor supply elasticities that grow with experience). These results are consistent with the neoclassical optimizing model of labor supply and suggest that consideration of gain-loss utility and income reference dependence is not an important factor in the daily labor supply decisions of taxi drivers. JEL Codes: D01, D03, J22.