Miracle-dz/UniFAR-FTUs huggingface dataset:
SSR polymorphism in Artemisia annua: Recognition of hotspots for dynamics mutation

Simple sequence repeats or micro-satellites form an important class of molecular markers for genomic and plant breeding applications. In the studied work, publicly available data of 85,252 expressed sequence tagged sites of Artemisa annua (an anti-malarial plant) have been assembled and clustered into 20,588 non-redundant sequences by using EGassembler program. Results indicate 75.8% reduction of data redundancy and simple sequence repeats in only 20.74% (i.e., 4272) EST sequences. We have also identified the frequency, density, composition and distribution of SSR containing ESTs. Among all the SSR motifs, maximum frequency was showed by trinucleotide SSR motifs i.e., 47.84% while minimum by pentanucleotide SSR motifs i.e., 5.2%. The ESTs containing the unique SSRs were functionally annotated with the help of SwissProt protein database using BLASTx program. After GO based functional classification, only 18.8% of the total significant matches revealed the putative function, which is of agronomic importance. Approximately 4000 SSR-ESTs were analysed for their polymorphism both in ORF and non-ORF regions showing their importance in regulating the function of important genes.
The Role of Self-Regulatory Approach in Iranian Learners' Lexical Segmentation: The case of authentic materials

The present research investigated the effect of self-regulatory approach (with two components of self-checking and self-efficacy) on pre-intermediate Iranian learners' lexical segmentation in listening comprehension via authentic listening comprehension texts. To achieve this purpose, the investigators administered an Oxford Placement Test (2007) to ninety-eight students of two girls’ private junior high schools in Abadan. The participants were in grade seven at pre-intermediate level. Ninety-two students were selected out of ninety-eight and after homogenizing the participants linguistically, they were divided into four groups. Twenty-three students of every 4 classes whose scores were nearly the same were considered as one group. There were one control group and three experimental groups. A teacher-made pretest which was piloted by the researchers was administered to all groups. Then, the experimental groups were instructed under an eight-sessions treatment which was self-regulated teaching via authentic and non-authentic texts. Finally, the participants took a posttest similar to the pretest on lexical segmentation in listening comprehension. Both pretest and posttest reliability were calculated with Cronbach Alpha. Statistical analyses were done through one-way ANOVA. the result of the study indicated that self-regulated approach teaching through authentic materials can improve learners’ lexical segmentation of listening comprehension.
Perceived contributory factors to medication administration errors (MAEs) and barriers to self-reporting among nurses working in paediatric units of selected referral hospitals in Rwanda

Background: Medication administration errors (MAEs) occur in health care settings however, the types, contributing factors to MAEs and barriers to reporting are not well studied in Rwandan context. Methods: Quantitative approach was adopted. Descriptive cross-sectional design was used. A convenience sampling was used to select 151 nurses working in the paediatric units of the selected teaching hospitals in Rwanda. Pre-tested questionnaire for validity and reliability was used to collect data. Data was coded and entered into SPSS version 21. Descriptive statistics and inferential statistics (Chi-square test) were used to analyze data. Results: Approximately 33.6% of the participants were able to identify one type, 17.4 % two, 18.1% three, 17.4% four types, 10.7% six types and only 2.7% identified all the seven MAEs. Identified main contributory factor to MAEs was the heavy workload it like this-Identified main contributory factor to MAEs was the heavy workload [82 (55%)]. The main barrier to self-reporting was fear to be blamed if something happens to the patient as a result of the medication administration error (88 (59.1%)). All the socio demographic were associated with the types of MAEs committed by participants. In addition, the experience, marital status and job position of the participants were significantly associated with factors contributing to MAEs (p= .001, p=.000 and p= .044) respectively whereas all the socio demographic were significantly associated with barriers to self reporting. Conclusions: Factors contributing to MAEs were found in both parties and barriers to self-reporting were identified to be the fear reasons and administrative reasons. Therefore, the heavy workload should be addressed to reduce MAEs and a non-punitive environment is imperative in encouraging self-reporting of MAEs.
Mariana Bordinhão Proença

Currently, several studies addresses the novel link between sleep and dopaminergic neurotransmission, focusing most closely on the mechanisms by which Parkinson’s disease (PD) and sleep may be intertwined. Therefore, variations in the activity of afferents during the sleep cycles, either at the level of DA cell bodies in the ventral tegmental area (VTA) and/or substantia nigra pars compacta (SNpc) or at the level of dopamine (DA) terminals in limbic areas may impact functions such as memory. Accordingly, we performed striatal and hippocampal neurochemical quantifications of DA, serotonin (5-HT) and metabolites of rats intraperitoneally treated with haloperidol (1.5 mg/kg) or piribedil (8 mg/kg) and submitted to REM sleep deprivation (REMSD) and sleep rebound (REB). Also, we evaluated the effects of REMSD on motor and cognitive parameters and SNpc c-Fos neuronal immunoreactivity. The results indicated that DA release was strongly enhanced by piribedil in the REMSD group. In opposite, haloperidol prevented that alteration. A c-Fos activation characteristic of REMSD was affected in a synergic manner by piribedil, indicating a strong positive correlation between striatal DA levels and nigral cFos activation. Hence, it is suggested that memories processes were severely impacted by both D2 blockade and REMSD and even more by their combination. Conversely, the activation of D2 receptor counteracted such memory impairment. Therefore, the present evidence reinforce that the D2 receptor is a key player in the SNpc neuronal activation mediated by REMSD, as a consequence these changes may have direct impact for cognitive and sleep abnormalities found in patients with PD.
Brain cortical organization in entrepreneurs during a visual stroop decision task

Decision-making in entrepreneurs is a key aspect of their skills, but much about these processes remains unexplained. During a Stroop task, concomitant N200, P300, and N450 event- related potentials were measured in 25 founder entrepreneurs and in age-matched and gender- matched nonfounders/nonentrepreneurs (NFNE). Reaction times were shorter among founder entrepreneurs. The N200 was shorter and N450 larger in founder entrepreneurs. The personali- ties of both groups were measured using the Temperament and Character Inventory-Revised. Founder entrepreneurs scored significantly higher in novelty-seeking and self-directedness dimensions, as well as in exploratory excitability, impulsiveness, optimism, eagerness, and responsibility subdimensions. Possible interactions among candidate variables to differentiate between founder entrepreneurs versus NFNE were also addressed, and the model including impulsivity, N450 latency, and impulsivity*N450 interaction came up as the best model for discrimination between founder entrepreneurs and NFNE. A shorter N200, mostly associated with bilateral supplementary motor area activation, revealed a faster capability to make deci- sions when information was noncongruent or blurred. However, the larger N450 revealed a more intense post-evaluation cognitive process happening in founder entrepreneurs and was accompanied by a greater activation of anterior frontal regions. The whole decision-making process consumed more time and resources in founder entrepreneurs, even if its closure was faster. Attention, memory, and alertness, among other factors, have been invoked to explain some of these differences. Founder entrepreneurs may have cognitive and heuristic differences compared with the general population.
Classifying Tweets using Convolutional Neural Networks with Multi-Channel Distributed Representation

This paper is focused on a state-of-art classification method for short text messages. With the increasing interest in social media, people are posting many short text messages, not only to communicate with other people, but also to share information. This trend has led to a new research area, microblog mining. This type of data mining can extract realworld topics and events from microblogs. However, because text messages on a micro-blogging site are short, their classification is a challenging task. In particular, Twitter is one of the most well-known micro-blogging services, where tweets frequently users’ reactions to real-world topics and events occurring in their surroundings. In our previous paper, we proposed a realtime topic monitoring system that implements a naive Bayes classifier to classify tweets into two classes: “relevant” and “irrelevant” to a monitored topic. The classification performance has limitations, because the naive Bayes’ classification is based on word probabilities. To address this problem, we propose a deep-learning-based classification method that features a new distributed representation for words, multichannel distributed representation. Distributed representation indicates word vectors representing the latent features of words. To enhance the capability of a distributed representation, each of its items has several channel values in a multi-channel distributed representation. In our experiments, we evaluated our model’s performance in comparison with that of other convolutional neural network (CNN) models and a long shortterm memory model. The results showed that the classification performance of the deep learning models was superior to that of the naive Bayes classifier. Moreover, a CNN with multi-channel distributed representation can classify tweets better than a CNN without multi-channel distributed representation.
Vibrational Spectroscopy of Binary Titanium Borides: First-Principles and Experimental Studies

Vibrational dynamics of binary titanium borides is studied from first-principles. Polarized and unpolarized Raman spectra of TiB, TiB2, and Ti3B4 are reported along with the experimental spectra of commercial powder and bulk TiB2 containing less than 1 wt. % of impurity phases. The X-ray diffraction spectroscopy, applied for phase composition examination of both bulk and powder materials, identifies only the TiB2 phase. The simulated Raman spectra together with literature data support interpretation and refinement of experimental spectra which reveal components arising from titanium dioxide (TiO2) and amorphous boron carbide (B4C) impurity phases as well as graphitic carbon. These contaminations are the by-products of synthesis, consolidation, and sintering aids employed to fabricate powder and bulk titanium diboride.
Performance of Microfinance Institutions in Tanzania: Integrating Financial and Non financial Metrics

The aim of the study was to evaluate the performance of Microfinance institutions in Tanzania by integrating financial and nonfinancial performance metrics. The study used a balanced scorecard approach with five dimensions financial, social, customer, learning and growth and internal business process. The findings of the study indicate low average financial performance among Microfinance institutions reviewed. On average, the institutions reviewed were not sustainable with low relative productivity and low profitability. The average nonfinancial performance was high indicating that Microfinance institutions were better performing in nonfinancial measures compared to financial measures. The overall financial performance indexes show that commercial banks outperform traditional Microfinance institutions. The findings show a positive correlation between overall financial performance with nonfinancial performance and overall performance. This indicates that tradeoff does not exist on financial and nonfinancial performance when measured in a collective way. The results on individual financial performance metrics show a positive correlation with internal business process and learning and growth, and negative correlation with social and customer perspective. The results also show a positive correlation between the four dimensions of nonfinancial performance and with the overall financial performance. The study recommends that the use of balanced scorecard has high potential in the evaluation of performance of Microfinance institutions. Microfinance institutions need to balance financial and nonfinancial performance to ensure survival in a competitive market while meeting their social objective. Balanced scorecard provides the potential to investigate the overall performance of Microfinance institutions from the two performance dimensions. Keywords: Microfinance institutions, Performance measurements, Balanced Scorecard
Is Household Food Insecurity Predictive of Health Status in Early Adolescence? A Structural Analysis Using the 2002 NSAF Data Set

We used data from the 2002 National Survey of American Families to examine a structural model of the relations among food insecurity, poor nutritional status, parental mental health problems, quality of parenting, adolescents’ emotional distress, and poor health status for a national sample of 5366 12-to-14 year-olds. The results revealed that: first, food insecurity was associated with elevated levels of parental mental health problems, diminished quality of parenting, elevated levels of adolescents’ emotional problems, and higher incidence of poor nutritional and health statuses. Second, parental mental health problems were associated with diminished quality of parenting and higher incidence of poor health status; and quality of parenting had a negative effect on emotional distress, but not on health status. Finally, poor nutritional status was associated with elevated levels of emotional distress and higher incidence of poor health status; and emotional distress was predictive of poor health status. The findings of this study highlight the mediating role of nutritional status, parenting factors and adolescents’ emotional well-being in the link between food insecurity and health; and point to the complex interaction between food insecurity and health status.
Vitamin D supplementation and the risk of infections in fullterm infants : Correlations with the maternal serum vitamin

INTRODUCTION The role of vitamin D in the regulation of calcium and bone metabolism is well established. Recently, more physiologic functions for vitamin D have been reported. Epidemiologic and genetic studies as well as research using animal models suggest a vital and complex role of vitamin D in immune system function and regulation. Vitamin D exerts many of its effects through contact with vitamin D receptors, which have been found in a variety of cells, including lung cells and many cells of the immune system. The finding that most tissues and cells in the body have vitamin D receptors and that many of them possess the enzymatic apparatus to synthesize the active form 1,25-dihydroxyvitamin D from the primary vitamin D, 25-hydroxyvitamin D, has provided new insight into the role of this vitamin deficiency in pathogenesis of several diseases. Vitamin D insufficiency has been linked with susceptibility to infection, particularly respiratory infections, asthma, autoimmune diseases and the development of a variety of cancers. Human milk reflects the vitamin D status of the mother and often contains inadequate levels of 25-hydroxyvitamin D for infant nutrition. In 2008, the American Academy of Pediatrics (AAP) recommended 400 IU of vitamin D supplementation of all infants. The relationship between vitamin D deficiency and the risk of childhood infections is still under investigations particularly during the first year of life. Original article
Trailing edge noise model applied to wind turbine airfoils - DTU Orbit (26/10/2017) Trailing edge noise model applied to wind turbine airfoils

The aim of this work is firstly to provide a quick introduction to the theory of noise generation that are relevant to wind turbine technology with focus on trailing edge noise. Secondly, the socalled TNO trailing edge noise model developed by Parchen [1] is described in more details. The model is tested and validated by comparing with other results from the literature. Finally, this model is used in the optimization process of two reference airfoils in order to reduce their noise signature: the and the S809 airfoils.
Effects of all-sky assimilation of GCOM-W 1 / AMSR 2 radiances in the ECMWF system

This paper assesses the impact of Advanced Microwave Scanning Radiometer 2 (AMSR2) radiances in the all-sky assimilation of the European Centre for Medium-Range Weather Forecasts (ECMWF). Individual impacts of three microwave imagers including AMSR2 were examined by using a baseline experiment that had no microwave imager data. The three microwave imagers brought similar improvements in humidity, temperature, and wind first guess (FG) fields in the troposphere. Improvements were found both in fits to analyses and to other observations. Moreover, significant improvements of wind and geopotential height fields in the troposphere were found in day 3 to day 6 forecasts. AMSR2 made larger improvements than other microwave imagers to geopotential height forecasts in the northern hemisphere. The addition of AMSR2 radiance data on top of the full ECMWF operational dataset gave mixed results. Consistent improvements in the FG fit to humidity observations were confirmed. However, the FG fit for several channels of the microwave temperature sounding instruments was degraded. Mean FG departure of AMSR2 shows biases in certain local time and meteorological conditions. The causes of the biases were identified as insufficient representation of cloud liquid water path (LWP) in the forecast model under unstable conditions and insufficient amplitude of LWP diurnal variation in stratocumulus areas in the tropics. The assimilation of too much biased data might start to bring negative effects for the analysis and forecasts perhaps outweighing the improvements in the assimilation. However, similar to what was found in the no-imager baseline experiments, AMSR2 brought significant improvements of the geopotential height field in the southern hemisphere lower troposphere for day 5 to day 7 forecasts.
Prevailing Organizational Culture and Effect on Academic Staff Satisfaction in the Malaysian Higher Education Institutes

The objective of this study is to examine the relationship between the dimensions of organizational culture and employees‟ job satisfaction among academic staff in the Malaysian higher education institutes. Organizational culture is deeply rooted within the organizational system, as it is a process, which evolves over a long time. An organization‟s culture determines the way the organization conducts its business, and as a result also influences its processes. Because of its deeprooted nature, the culture of the organization is difficult to change, as there is often resistance against giving up something, which is valued and has worked well in the past. Overall, this study will explore the effects of organizational culture dimensions on job satisfaction and to assess which organizational culture dimensions have a greater marginal impact on job satisfaction. This study attempts to improve the managers' understanding on how to improve organizational culture dimensions that may have a critical impact on employees‟ satisfaction. A sample of 310 respondents that were selected randomly from four higher education institute participated in this study. Data were collected by survey questionnaire. Both descriptive and influential statistic namely frequency, mean, and multiple regression were used to analyze the data. The result shows that there is no significant relationship between emphasis of reward and performance oriented and job satisfaction. Results also showed that a significant relationship exists between organizational supportiveness, innovation, stability and communication and job satisfaction.
Big Five Factors and academic achievement in Russian students

Background: The Five-Factor Model (FFM) of personality traits is one of the most comprehensive personality models in modern psychology. The traits, or domains, of the model, provide an extensive framework, which allows researchers to analyse the correlation between the aspects of personality and various aspects of social behaviour. Academic achievement is a key factor in a subject’s success, and a more comprehensive understanding of its potential factors could improve educational programs and teaching strategies. Objectives: The purpose of this paper is to consider the correlations between the FFM (Big Five) personality traits and the academic achievement of university students in various fields of study. Design: This study has adopted a descriptive analytic approach by exploring previous research data. In the present empirical research, the Big Five factors were measured with the Russian NEO Five-Factor Inventory adaptation by S. Biryukov and M. Bodunov. Academic achievement was defined as the average value of the semester final grades. The Spearman correlation analysis was used for statistical analysis. The sample includes 207 firstand second-year university students in the Linguistics Department. Results: The analysis of the published data revealed that Western psychological studies show that consciousness and openness, two values in the model, are more closely connected with the peculiarities of the students’ academic achievement in different fields of study, but similar studies conducted in Russian universities do not fully confirm this data. Findings of our research proved that consciousness is more associated with greater academic achievement of Russian linguistics students in most fields of study compared to the other FFM traits, while other traits showed more specific correlations with particular fields of study. Conclusions: The data suggests that both environmental and internal psychological factors, such as motivation, intelligence, inclinations, abilities, etc. affect academic achievement. However, further research suggests that volitional and cognitive personality traits considered in the framework of various models of personality may have a great influence on academic achievement and should also be taken into consideration. Personality traits, especially consciousness and openness of the FFM, are significant factors of academic achievement. The associations between academic achievement and FFM traits are more prominent in those fields of study that include such features as their relative