Miracle-dz/UniFAR-FTUs huggingface dataset:
Induction of genetic variability in oat

Genetic variability in plants can be maximized through techniques of induction to make selection of genotypes with improved adaptation to cultivation conditions possible. For oat, these techniques are important for a sustainable development through plant breeding programs in southern Brazil. The effects of mutagens (one physical: 60Co gamma rays and two chemical agents: ethyl - methanesulfonate and methyl-methanesulfonate) were compared in the segregating M2 and M3 generations derived from artificial hybridization and induced mutation to compare mechanisms of widening the genetic variability of oat. The methodologies increased the genetic variability in the trait vegetative cycle effectively, by either increasing or reducing the number of days from emergence to full heading; both can be applied in oat breeding programs.
A Business Simulation Game for Location-Based Strategies

In light of increasing globalization, firms tend to move business functions to strategic regions around the globe to access and secure natural or human resources and benefit from potential agglomeration externalities. Moving business functions to specific locations is often a credible and visible strategic commitment that stimulates the firmâ€™s generic strategy. Therefore, it is an important concept for strategic management, which needs to be tightly aligned to the firmâ€™s corporate strategy. The formulation of a location- based strategy is built of consistent decisions about where and when to move specific business functions. The tradeoffs of these decisions are complex, interrelated, and dynamic. In order to teach and train location-based strategy formulation in an engaging, hands-on activity, this article describes the concept, learning outcomes, and architecture of a business simulation software program for moving specific firm functions to selected regions. It simulates an organizational lifecycle and agglomeration externalities such as knowledge spillovers resulting from labor pooling and specialized suppliers. The simulation is designed as a competitive group exercise for a course about location-based strategies in advanced business or management studies to engage students in a risk-free environment.
THE USE OF SMS SUPPORT IN PROGRAMMING EDUCATION

The rapid developments in the communication technologies today render possible the use of new technological support tools in learning processes. Wireless, or mobile wireless, technologies are the tools whose potential contributions to education are investigated. The potential effects of these technologies on learning are explored through studies where either the entire learning process is carried out via mobile learning practices or the mobile tools are used as support tools in a mixed learning environment. In this study, the possible uses of mobile phones, which have a large user potential among mobile technologies, as support tools in the programming language education process have been analyzed. During the study that has been carried out via the Short Message Services (SMS) of mobile phones, lists of the messages sent to the students have been recorded and it was observed at the end of the application process that the SMS support had influenced the students' academic achievements significantly.
The Impact of a Sleep Hygiene Intervention on Sleep Habits in Children with Attention Deficit/Hyperactivity Disorder

BackgroundAttention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders of childhood. Up to 50% of these children suffer from at least one comorbid sleep disorder. Considering the deleterious effects of sleep problems on all aspects of children's life, this study was designed to investigate the impact of a sleep hygiene intervention on sleep habits in children with ADHD and comorbid sleep disorders.Materials and MethodsThis randomized controlled trial, was conducted on 62 children aged 7 to13 years with diagnosis of ADHD and comorbid sleep disorders. Children's Sleep Habits Questionnaire (CSHQ) was completed by children's mothers and then the participants allocated randomly into experimental (n=28) and control (n=28) groups. Mothers of the children in experimental group received a sleep hygiene educational intervention which was delivered through a training session and a booklet followed by two telephone calls and educational text messages. Participants in the control group received usual clinical care. The post-test was performed two months after intervention.Results56 children (case and control groups) completed the survey (mean age 8.62 ± 1.57 years). Data analysis showed that, compared with control children, experimental children had a significant- reduction in mean scores of Bedtime resistance (P<0.05), Sleep onset delay (P<0.05), Sleep duration (P<0.05), Sleep anxiety (P<0.05), Daytime sleepiness (P<0.05) and total score of CSHQ (P<0.05), after controlling pre-test.ConclusionThe sleep hygiene intervention improved sleep problems in a sample of children with ADHD by parent report. The findings of this study support the design, implementation and evaluation of educational programs on good sleep-hygiene practices for children and adolescents.
THE REVIEW OF FLOW ASSURANCE SOLUTIONS WITH RESPECT TO WAX AND ASPHALTENE

This study examines mechanisms of wax and asphaltene precipitation and deposition, effects of the depositions on oil reservoir characteristics and performance, deposіtion prediction methods, deposition mitigation and removal techniques. Estimation results of several thermodynamic models of wax appearance temperature and subsequent deposition agree wіth each other. These estimations along with the limited field data comparisons suggest moderate success in modelling wax deposition, maіnly because wax deposits depend on temperature. Asphaltenes’ nature is unclear. Its mechanisms of precipitation, flocculation, and deposition remain unclear. So, the reliability of any forecast and simulation models can be questionable. Although there is a lack of documented evіdence of any reliable method for predicting asphaltene deposіtion with high confidence, probably due to unrepresentative crude oil samples, there is reasonably good chemicals performance. These chemicals show that, if the deposition prevention is impossible, at least it can be controlled and managed. The lessons learned from different development projects and the best practices were used to define the flow assurance mitigation strategies. Since this study contains the necessary information on wax and asphaltene deposition, it can be used as a reference for further exploration of this field.
The role of phoneme and onset-rime awareness in second language reading acquisition

This study investigated the link between phoneme and onset-rime awareness and reading outcomes in children learning to read in a second language (L2). Closely matched phoneme and onset-rime awareness tasks were administered in English and French in the spring of kindergarten to English-dominant children in French immersion programmes (n 598). Regression analyses indicated that English phoneme manipulation was a significant predictor of both English and French reading outcomes after controlling for kindergarten knowledge of letter names and word identification. French onset-rime knowledge measured in kindergarten accounted for significant variance for French reading outcome measures. Results support the existence of a link between English phoneme manipulation in kindergarten and both English and French reading outcomes in Grade 2. Practically, these results provide information about what phonological awareness measures can be used in kindergarten to predict later reading outcomes for children learning to read in an L2.
Wage Determination and Labor Market Volatility under Mismatch

Shimer (2007, American Economic Review) introduced a model of mismatch, in which limited mobility of vacant jobs and unemployed workers provides a microfoundation for their coexistence in equilibrium. Shimer assumed that the short side of a local labor market receives all the gains from trade, and argues that the model helps to explain the volatility of unemployment and the vacancy-unemployment ratio in response to productivity shocks. I show that the assumption on wages is essential for this conclusion by considering alternative assumptions. When wages are determined according to the Shapley value, they depend more smoothly on local labor market conditions, but unemployment and the vacancy-unemployment ratio are even more volatile. However, in both cases amplification relative to the Mortensen-Pissarides benchmark arises only because the implied process for wages is more volatile.
Inhibition of the Corrosion of Mild Steel in Acidic Medium by Penicillin V Potassium

The inhibition of the corrosion of mild steel by penicillin V potassium has been studied. Penicillin V potassium is a good inhibitor for the corrosion of mild steel in H2SO4. The inhibition efficiency of the inhibitor decreases with increase in temperature and with the period of immersion. However, increase in the concentration of the inhibitor resulted in increase in the inhibition efficiency of penicillin V potassium. Adsorption characteristics of the inhibitor has also been studied and it is found that penicillin V potassium inhibit the corrosion of mild steel by being adsorbed on the surface of mild steel by a physical adsorption mechanism. The adsorption of the inhibitor was also found to be spontaneous and consistent with the assumptions of Langmuir and Frumkin adsorption isotherms. Key word: Corrosion of mild steel, inhibition, penicillin V potassium.
Automatic Filling of Field Activities Register, from Challenge into Reality

Operational monitoring includes all those tasks performed to observe, survey and report all the information necessary to get an overview of the operational processes carried out during a specific field activity. The focus of this research is to develop a complete system able to collect and interpret all the operative parameters, for each different agricultural operations, in order to obtain information suitable to carry out management and strategical decisions. In short, the aim of the research is to develop a new concept of intelligent system supporting Precision Farming applications, capable to translate ex post actual operative parameters into information, so as to automatically perform an objectivity compilation of the field activities register. Through this system the farmer is able to have, on demand, updated information to be used for certification and traceability processes, as well as to satisfy any other management task, including the estimation of the actual operative costs at the farm. The solution here proposed is based on the identification of working processes through a tractor-oriented approach, where the power unit is equipped with a GNSS-data logger and an identification system acting as a detector able to recognize the coupled implements (on their turn equipped with a RF-transmitter sending identifying codes) and the related operations. Both devices are provided with an accelerometer to allow them to switch on only when they record a vibration. The raw data are collected with a frequency of 0.2 Hz fixing and compressed in data packets formed by geographical coordinates, day and hour of detection, and coupling information. Data-packets are then sent to a server, thanks to a GPRS-modem integrated into the GNSS-data logger, where they are finally stored into a relational database. Here, an Operational Inference Engine software (OIE) manages all these data through a set of automatic procedures to get final intelligible information on the monitored operations. The OIE results can be then uploaded by a Web-GIS client, that allows the farmer to get an easy and intuitive access to the information directly from his own private web domain. A series of field surveys were organized in order to perform the validation of the proposed procedure, through a manual time study and assessment of the followed working sessions. The main operative information obtained automatically by this new system (i.e. speeds, hour of start and finish, working session (WS) duration, operation recognition) were compared with those manually registered. Comparisons between automatically estimated and manually registered parameters revealed high level of correlations (R > 0.6), especially in terms of time comparison and identification of the working session, thus it highlights the capability and reliability of the proposed system to monitor agricultural operations in an automatic way. This solution will facilitate and enable new generations of farm information systems to be specifically developed for applications on agri-environmental enterprises.
Permanent Fault Location in Distribution System Using Phasor Measurement Units (PMU) in Phase Domain

This paper proposes a new method for locating high impedance fault in distribution systems using phasor measurement units (PMUs) installed at certain locations of the system. To implement this algorithm, at first a new method is suggested for the placement of PMUs. Taking information from the units, voltage and current of the entire distribution system are calculated. Then, the two buses in which the fault has been occurred is determined, and location and type of the fault are identified. The main characteristics of the proposed method are: the use of distributed parameter line model in phase domain, considering the presence of literals, and high precision in calculating the high impedance fault location. The results obtained from simulations in EMTP-RV and MATLAB software indicate high accuracy and independence of the proposed method from the fault type, fault location and fault resistance compared to previous methods, so that the maximum observed error was less than 0.15%
Determinants of direct foreign investment: Evidence from Jordan

In order to show the effect of direct foreign investment flows on the economy of Jordan, this study comes to examine the economic and financial risks on FDI on the macro level over the period (1997- 2007). This study applies a version of the model developed by Chan and Gemayel (2004) by using Multiple Linear Regression Model. The analysis revealed that there exists significant and positive relationship between foreign direct investment flows into the economy of Jordan and economic and financial variables. The study claims for further FDI promotion through incentives to attract new investments. These factors are: providing targeted fiscal incentives, such as tax concessions, cash grants, and specific subsidies; improving domestic infrastructure; promoting local skills development to meet investor needs and expectations; establishing broad-reaching FDI promotion agencies and improving the regulatory environment and decreasing red tape.
High Performance Work Practices and Educational Mismatch: Creation and Destruction of Competencies. *

With a focus on expressed competencies, the objective of this study is to test the hypotheses of whether a worker’s level of competencies is affected by modern work practices, whether owning key competencies affects the acquisition of technical competencies, and finally, whether the presence of educational mismatch has some consequences on expressed competencies. Based on a representative Italian national survey, [the authors] separate the overall expressed competencies of a given worker into two categories, namely, key competencies and technical competencies, proving that the former affect the latter and confirming that key competencies constitute a higher-order logic ‘class’ with respect to technical competencies. In addition, [the authors’] findings show that (i) key competencies increase when adopting new work practices, (ii) overeducation has a dissipative effect on both types of expressed competencies, and (iii) undereducation (which implies having a challenging job) has a strong positive effect. The policy implications of wasting valuable human resource competencies are discussed.
PARALYTIC DISORDERS ASSOCIATED WITH PHOSPHORUS DEFICIENCY IN BUFFALOES

An investigation was carried out during the month of May to August 2001 to diagnose hind limbs paralysis in buffaloes of Buner area of NWFP. Serum concentrations of calcium (Ca) and phosphorus (P) in 40 buffaloes (29 affected and 11 normal) from six different villages were measured together with feed and soil samples analysed for different macro and micro minerals. Serum P level was lower (P<0.001) in affected buffaloes and averaged 3.05 mg/100 ml of serum against 6.73 mg/100 ml found in the normal buffaloes. Serum Ca level was in normal range and did not differ between affected and normal buffaloes (12.16 and 12.93 mg/100 ml, respectively). Range grass hay, the main feed offered to the animals during dry season of high disease incidence, was extremely low in P (0.10mg/100g) and sodium (0.03g/100g), with adequate level of Ca (0.41 g/100 g). Concentrations of potassium (K) and magnesium (Mg) in range grass hay were very high and averaged 5.0 and 0.34g/100 g, respectively. Copper (Cu), manganese (Mn) and iron (Fe) contents in the hay were 28.50, 113.0 and 242.0 µg/g, respectively and were in excess of the recommended dietary requirements for cattle. However, zinc (Zn) concentration (42.33 µg/g) in the hay was marginally adequate to meet the dietary requirement of dairy cattle. The mineral profile of hay was in close agreement with that of soil in the area. The results concluded that deficiency of P in hay, which might have resulted due to low P in soil, ascribed low serum P in buffaloes and might be the major cause of the disease. The imbalance of other minerals in hay and soil might have also reduced the bioavailability of P to plants and animals. In vitro matter digestibility (38.1%), crude protein (5.63% in DM), and metabolizable energy (1.32 Mcal/kg DM) values of the hay offered to animals were below the standard requirements and caused general emaciation of the buffaloes during dry seasons. Correction of the hind limbs paralysis in buffaloes would require both P supplementation and improvement in nutritive value of range grass hay. Feeding of molasses-urea blocks fortified with deficient minerals is suggested as appropriate strategic supplement for correcting the health disorder in buffaloes of the Buner area.
Automatic Text Summarization for Indonesian Language Using TextTeaser

Text summarization is one of the solution for information overload. Reducing text without losing the meaning not only can save time to read, but also maintain the reader’s understanding. One of many algorithms to summarize text is TextTeaser. Originally, this algorithm is intended to be used for text in English. However, due to TextTeaser algorithm does not consider the meaning of the text, we implement this algorithm for text in Indonesian language. This algorithm calculates four elements, such as title feature, sentence length, sentence position and keyword frequency. We utilize TextRank, an unsupervised and language independent text summarization algorithm, to evaluate the summarized text yielded by TextTeaser. The result shows that the TextTeaser algorithm needs more improvement to obtain better accuracy.
The Assessment of Critical Thinking Critically Assessed in Higher Education: A Validation Study of the CCTT and the HCTA

Although critical thinking (CT) is generally acknowledged as an important aim of higher education, no validated instrument to assess CT in Dutch is available. Moreover, most instruments are validated on a broad sample with people of diverse educational backgrounds. This possibly hampers the reliability of assessing effects of instructional interventions within educational programmes, where diversity is less. This study investigates the psychometric quality of a translation of the Cornell Critical Thinking Test (CCTT) and the Halpern Critical Thinking Assessment (HCTA) in a sample of Dutch speaking freshmen majoring in educational sciences. Results show a higher content validity and preference by students for the HCTA. The CCTT, however, takes less time to administer and score, which makes it easier to use the CCTT on a larger scale. Neither of the two tests shows a high overall reliability. The strength of the correlations between the constructed-response items and the forced-choice items of the HCTA with the CCTT calls for further research on the precise relation between CT skills and dispositions and the ability of the HCTA to assess both independently.
The capital structure practices of listed firms in South Africa.

This study investigates whether financial theory is aligned with financial practice by testing two conventionally recognised theories of capital structure choice, the trade-off theory and the pecking-order theory against the financing practices of listed firms on the Johannesburg Stock Exchange (JSE) during the period 1995-2005. Data were obtained from the McGregor database. The results indicated a unique, but significantly positive, correlation between debt financing and financial distress, and a significant negative correlation between debt financing and the collateral value of assets. These findings suggest that financial theory is not aligned with practice on firms listed on the JSE. This study attempts to contribute to efforts to align financial theory with practice, and to help future researchers advance or modify current theories.
Industrial Development through Takeovers and Exits: The Case of the Cut Flower Exporters in Ethiopia

The exit and takeover of firms influence the structure and economic efficiency of an industry. The existing literature suggests that firms gradually learn about their own productivity. Some stagnate and ultimately exit if they encounter unfavorable prospects; others survive and grow. This selection process implies that the probability of firm exit initially increases with firm age as learning progresses before it eventually falls as learning is completed. We use a firm-level panel of Ethiopia’s cut flower industry to confirm this theoretical implication. The empirical results also suggest that takeover improves productivity and profitability of average firms endowed with a favorable business environment.
Model-Based Temperature Fault Detection for Individual Measuring Points

For wind turbines, condition monitoring is an essential part of research. To minimize downtime of the plants and to prevent extensive damage, it becomes inevitable to detect faults at an early stage, especially, since plants are increasingly placed in poorly accessible areas, like deserts, arctic or offshore regions. The following paper concentrates on temperature monitoring and discusses an observerbased approach reconsidering the model’s accuracy and reliability for condition monitoring purposes. As novel approach the fault detection is focused on individual measuring points rather on the overall system. The presented model is developed as an equivalent thermal circuit. To minimize the difference between modeled and measured temperature curve (residual), a observer is implemented and configured. The advantages and disadvantages as well as the improvement of the presented approach compared to presently used methods are outlined.