Miracle-dz/UniFAR-FTUs huggingface dataset:
Transaction / Regular Paper Title

MicroRNAs (miRNAs) are small non-coding RNAs, which play a significant role in gene regulation. Predicting miRNA genes is a challenging bioinformatics problem and existing experimental and computational methods fail to deal with it effectively. We developed YamiPred, an embedded classification method that combines the efficiency and robustness of Support Vector Machines (SVM) with Genetic Algorithms (GA) for feature selection and parameters optimization. YamiPred was tested in a new and realistic human dataset and was compared with state-of-the-art computational intelligence approaches and the prevalent SVM-based tools for miRNA prediction. Experimental results indicate that YamiPred outperforms existing approaches in terms of accuracy and of geometric mean of sensitivity and specificity. The embedded feature selection component selects a compact feature subset that contributes to the performance optimization. Further experimentation with this minimal feature subset has achieved very high classification performance and revealed the minimum number of samples required for developing a robust predictor. YamiPred also confirmed the important role of commonly used features such as entropy and enthalpy, and uncovered the significance of newly introduced features, such as %A-U aggregate nucleotide frequency and positional entropy. The best model trained on human data has successfully predicted pre-miRNAs to other organisms including the category of viruses.
The Prognostic Value of CK-MB in Acute Myocardial Infarction in Developing Countries: A Descriptive Study

Background: Acute myocardial infarction is a common condition among developing countries with access-tocare issues. However, scarce information is available on the association between prognostic markers and patient outcomes in areas around the globe with scarcere sources. Aim: To evaluate the association between creatine phosphokinase myocardial band (CK-MB) and outcomes measured up to six months after the infarction. Methods: This is a longitudinal cohort study evaluating patients with a diagnosis of myocardial infarction up to six months after the ischemic event. Patients underwent catheterization up to 12 hours after the first symptoms. The primary predicting variable was CK-MB level, with outcome variables including re-infarction, death, and functional level status at 30 days and 6 months after infarction. Results: The average time of arrival was seven hours after the start of pain. When combining all adverse outcomes, 13.7% presented with either a myocardial re-infarction or death. When evaluating the association between serial CK-MB measurements and various outcomes of interest, there was usually no significant association with re-infarction, death or functional class at the 30-day and six-month follow-up evaluations. However, increased CK-MB measurements at admission, 18 and 72 hours continued to be significantly associated with increased length of hospital stay after adjusting for age and gender. CK-MB levels greater than 124 mg/dl after 18 hours after first symptoms were significant predictors of all combined adverse outcomes. Conclusion: CK-MB represents an alternative when it comes to prognostic predictors of combined outcomes including myocardial re-infarction, re-intervention or death.
UNSTEADY MIXED CONVECTION FLOW FROM A SLENDER CYLINDER DUE TO IMPULSIVE CHANGE IN WALL VELOCITY AND TEMPERATURE

An unsteady mixed convection flow of a viscous incompressible fluid over a non-permeable linear stretching vertical slender cylinder is considered to investigate the combined effects of buoyancy force and thermal diffusion. It is assumed that the slender cylinder is in line with the flow. The unsteadiness in the flow and temperature fields is caused due to the impulsive change in the wall velocity and wall temperature of linearly stretching vertical slender cylinder. The effect of surface curvature is also taken into account, particularly for the applications as wire and fiber drawing where exact predictions are expected. The governing boundary layer equations are transformed into a non-dimensional form by a group of non-similar transformations. The resulting system of coupled non-linear partial differential equations is solved by an implicit finite difference scheme in combination with the quasi-linearization technique. Numerical computations are performed to understand the physical situations of linear stretching surface for different values of parameters to display the velocity and temperature profiles graphically. The numerical results for the local skin-friction coefficient and local Nusselt number are also presented. Present results are compared with previously published work and are found to be in excellent agreement.
Mathematical model and rule extraction for tool wear monitoring problem using nature inspired techniques

In this paper, pattern classification problem in tool wear monitoring is solved using nature inspired techniques such as Genetic Programming (GP) and Ant-Miner (AM). The main advantage of GP and AM is their ability to learn the underlying data relationships and express them in the form of mathematical equation or simple rules. The extraction of knowledge from the training data set using GP and AM are in the form of Genetic Programming Classifier Expression (GPCE) and rules respectively. The GPCE and AM extracted rules are then applied to set of data in the testing/validation set to obtain the classification accuracy. A major attraction in GP evolved GPCE and AM based classification is the possibility of obtaining an expert system like rules that can be directly applied subsequently by the user in his/her application. The performance of the data classification using GP and AM is as good as the classification accuracy obtained in the earlier study (i.e. using ANN approach).
FORMULATION AND STATISTICAL EVALUATION OF A READY-TO-DRINK WHEY BASED ORANGE BEVERAGE AND ITS STORAGE STABILITY FORMULACI ´ ON Y ESTADDE UNA BEBIDA DE NARANJA PREPARADA A BASE DE SUERO Y SU ESTABILIDAD DE ALMACENAMIENTO

A value-added functional beverage is formulated utilizing unprocessed liquid whey. Whey has excellent nutritional qualities and bland flavors; it is easy to digest and has a unique functionality in a beverage system. The ready-to-drink beverage is formulated with concentrated whey, orange juice along with an adequate amount of sugar, stabilizer, citric acid and flavor. Orange juice is used since the acidic flavor of whey is compatible with citrus flavors and particularly orange. The health and nutritional benefits of orange further imparts the value to the formulated beverage. Nine blend formulations are prepared by varying the dry matter of whey, fruit juice and sugar content. Based on a statistical analysis of the sensory evaluation of the drinks, the optimal formulation is found to have a ratio 3:2 for concentrated liquid whey and orange juice followed by an addition of 8% sugar (w/v) and 0.1% stabilizer (w/v). The shelf-life of the final product is carried out both at room temperature (30 2oC) and refrigeration temperature (7 1oC) with and without addition of preservatives. The product remains in good condition up to eleven days at room temperature and up to three months under refrigeration condition with addition of 150 ppm of sodium benzoate.
Risk Management in Building Projects: Owners’ Perspective

The construction industry is a key activity in any economy, it influences and is influenced by the gross domestic product of any country. The construction sector is one of the key economic sectors and is the main force motivating the Palestinian national economy. Construction is a risky industry with uncertainties due to many external and internal factors that influence the construction process. The aim of this paper is to identify the severity and allocation of each identified risk factor according to the owners perspectives. A survey was conducted and forty four critical risk factors were identified and categorized into nine groups. The findings of this research showed that owners in the Gaza Strip have considered awarding the design to unqualified designer to be the most important risk factor followed by defective design and occurrence of accidents because of poor safety procedures. The results indicated that close supervision would be the effective mitigative method. It is recommended that tenders should be awarded to accurate estimated cost and not necessarily to the lowest bidder. This could take the edge of high competition in bids and reduce risks consequences by providing more profit margins for contractors. Training programs should be arranged to advance managerial and financial practices to explain the internal and external risk factors affecting the construction industry and to initiate the proper ways to deal with such factors. Keywords: Risk management, risk identification, risk allocation, risk mitigation, construction.
Miljömedicinsk hälsoövervakning av barn i områden med förorenad mark från glasbruk - Lessebo kommun

Provtagningar for att analysera halterna av kadmium, bly och kvicksilver i blod och arsenik i urin genomfordes pa 87 skolbarn i ak 2-4 i Lessebokommun, Kronoberg under hosten 2017. Det geometriska .
Investment requirements under new demands on world agriculture: feeding the world with bioenergy and climate change.

In this paper, we explore the sectoral spending that is needed to sustain global agricultural food production at the level needed to feed the world to 2050. We examine the key sectors most closely associated with agricultural performance and human well-being improvement, and see how these sectoral needs change under the additional challenge of the future climate change. The results of our analysis reveal a significant level of additional spending needed for key regions like sub-Saharan Africa and South Asia, which hold most of the world’s poor and undernourished, and which will be hard-hit by climate change. The role of irrigation becomes important for regions like Africa, which heavily depend on rainfed agricultural production. The need for roads is also crucial as a means for increasing the market access of producers and maintaining a vigorous level of performance within agriculture and other sectors. We discuss the role of the international agricultural research system in terms of providing global public goods, in the form of research innovations that benefit the global food system through both higher levels of availability, under increasing environmental and socio-economic stress, and through lower food prices.
Experimental Observation and Mathematical Modeling of Immiscible Displacement in oil Wet Reservoirs

Here, a series of immiscible displacement processes have been performed on fractured porous medium developed on glass micro-models in order to investigate the role of fracture characteristics on oil displacement efficiency during immiscible displacement process. Oil recoveries were determined from image analysis of continuously recorded pictures during different flooding schemes. A clear bypassing of displacing fluid which results in premature breakthrough of injected fluid due to the fracture has been observed. Moreover, the results showed a decrease of oil recovery when fracture's length increased. In contrast, an increase of fracture orientation from flow direction increased oil recovery. Results of this work may be useful for through understanding of immiscible displacement process as well optimal field development plans.
Economic Growth in South Africa since the late nineteenth century

Rereading D Hobart Houghton's The South African Economy (1967) and Economic Development1865-1965 (1971) brings to mind the stark theoretical and empirical differences between his account of thirty years ago and current views of economic growth. Hobart Houghton wrote within the optimistic and conceptually quite simple framework of W W Rostowâ€™s five stages of economic growth - only get to "take off" and your economic future is assured - whereas analysis of economic growth now draws on a more extended and technical literature which comes to no such simple conclusion. Hobart Houghton was writing after three decades of sustained growth in real per capita income; since then an extended period of falling real per capita income has inscribed itself on the South African record (see Figure 1), during a period of political instability and change. Hobart Houghton wrote in the Bretton Woods world which had gathered to itself a sense of stability: we are more uncomfortably aware that international trade and finance regimes have changed several times since the middle of the nineteenth century, usually with sharp and widespread transition costs. And thirty years ago, comparative information on economic growth was limited to a small (and biased) sample of countries. As more and more countries are brought within the scope of the World Bankâ€™s World Development Report, for instance, it has become apparent that middle income countries (of which South Africa is one) can regress economically just as easily as they can progress. Governments and peoples now understand themselves as engaged in the elusive quest for economic growth.
A Novel Image Fusion Metric for Intelligent Manufacturing Information System

An image fusion metric is commonly used to evaluate a fusion scheme because subjective evaluation cannot work in an intelligent manufacturing information system. In this study, an objective image fusion metric based on a log-Gabor filter (LGIMF) is presented. This metric can be calculated in five steps: (1) filtering the source and fused images into sub-bands, (2) constructing an ideal synthesis image by applying the maximization principle from the sub-band of the source images, (3) capturing the variation information between the real fused image and the ideal synthesis image in each sub-band, (4) measuring the sub-band fusion visual information by using the signalto- noise ratio model, and (5) weighting the sub-band fusion visual information to determine the overall quality. In our experiment, the proposed fusion metric is compared with other well-known metrics by using a subjective test dataset. We found that the LGIMF was more consistent in subjective perception compared with the other metrics.
Higher productivity in Exporters: self-selection, learning by exporting or both? Evidence from Vietnamese manufacturing SMEs

This study examines whether high productivity is either the cause or a consequence of a business’s decision to export. Using a balanced panel dataset from 2005-2009 for Vietnamese manufacturing private SMEs, our empirical results find strongly statistical evidence for the self-selection of more productive firms into the export market. The alternative hypothesis, learning by exporting, was shown to be invalid through employing fixed effect panel data estimation, and fixed effect Instrumental Variable regression. By going beyond the previous literature, this study also reveals that export participation has a statistically insignificant impact on technical efficiency, technical progress, and scale change. Last but not least, improvement in innovative capacity and network with foreign customers is also important determinants in boosting the export participation of private enterprises.
FORMULATION AND IN VITRO CHARACTERIZATION SOLID SELF EMULSIFYING DRUG DELIVERY SYSTEM OF RAMIPRIL PREPARED BY ADSORPTION TECHNIQUE

Objective: The primary goal of the present work was to formulate solid self-emulsifying drug delivery systems (S-SEDDS) in order to improve the solubility of the highly lipophilic antihypertensive drug, ramipril. Methods: SEDDS are generally liquid form preparations obtained by homogeneously mixing oils, surfactants and co-surfactants along with drug component. Based on solubility studies Capmul PG8 NF, Gelucire 44/14 and Transcutol P were selected as oil, surfactant, co-surfactant respectively in order to prepare liquid SEDDS (L-SEDDS). Nine different liquid SEDDS were prepared and subjected to various evaluation tests in order to obtain optimized L-SEDDS. Finally, the optimized formulation was converted to S-SEDDS by physical adsorption technique using an inert carrier. Further, S-SEDDS were also subjected to solid state characterization. Results: Out of 9 different L-SEDDS , S9 formulation was optimized as it formed thermodynamically stable emulsion without any drug precipitation and phase separation on storage and also showed least globule size (22.56 nm). The optimized formulation was loaded onto inert carrier (Sylysia FCP 350) to obtain S-SEDDS. S-SEDDS showed acceptable flow properties. They were further processed for solid state characterization such as XRD, DSC and SEM and the results confirmed the transformation of native crystalline nature of drug to an amorphous state. FTIR analysis also confirmed no drug-excipient interaction. S-SEDDS showed improved in vitro dissolution behaviour of ramipril over that of pure drug. Conclusion: Ramipril S-SEDDS retained emulsification characteristics of L-SEDDS. Further, S-SEDDS was encapsulated in hard gelatin capsules and this formulation proved to have improved solubility for ramipril. Keywords : Liquid self-emulsifying drug delivery system (L-SEDDS), Solid self-emulsifying drug delivery system(S-SEDDS), Ramipril, Emulsification, Sylysia FCP 350.
Lean six sigma in a call centre : a case study

Purpose - This paper, a case study, aims to illustrate the application of lean six sigma in a call centre of a service industry corporation. Design/methodology/approach - The study draws on process information and primary data from a real project. Findings - The study describes improvements in the operation of the call centre attributable to lean six sigma: increase in first-call resolution ratio, reduction in operator turnover and streamlining of processes. Practical implications - The introduction of lean six sigma into the call centre daily operations' management may have organizational benefits. Originality/value - Although lean six sigma has been extremely successful in the last two decades in the manufacturing sector, its applicability to the service sector has been a controversial topic. This study illustrates its application to a fast-growing area of the service sector, assisting companies in identifying areas of development for their call centres.
Carbon flux on coral reefs: effects of large shifts in community structure

The effect of replacement of live coral cover by epilithic algae on patterns and magnitudes of carbon flux is examined for the shallow front slope of a midshelf reef in the Great Barrier Reef (GBR). The shift in structure to an algae-dominated system realises lower rates of benthic primary production, and thus system size and activity are reduced. With loss of coral cover, the proportion of the total flow that is recycled and transferred to the detritus pool increases (although the structure of recycling is not affected), and the balance of pathways in the network is changed. In the coral-dominated state, carbon fixed by zooxanthellae is used indirectly by most organisms in the system. Differences between the coral- and algae-dominated systems were much greater than differences between two scenarios for the algae-dominated state whereby grazer-response is included or excluded. -from Authors
TITLE : Lateral root emergence in Arabidopsis is dependent on transcription factor LBD 29 regulating auxin influx carrier LAX 3 RUNNING TITLE : LBD 29 and lateral root emergence

Centre for Plant Integrative Biology, School of Biosciences, University of Nottingham, Nottingham LE12 5RD, UK; Laboratoire de Reproduction et Développement des Plantes, CNRS, INRA, ENS Lyon, UCBL, Université de Lyon, Lyon, France; Molecular Genetics, Department of Biology, Faculty of Science, Utrecht University, 3584 CH Utrecht, The Netherlands; Department of Plant Biology and Genome Center, University of California Davis, One Shields Avenue, Davis, California 95616, USA; Department of Biology, Graduate School of Science, Kobe University, Kobe, 657-8501 Japan Institute of Plant Sciences, 21 Altenbergrain, 3006 Bern, Switzerland Departamento Anatomia, Biologia Celular Y Zoologia, Facultad de Ciencias, Universidad de Extremadura, Badajoz 06006, Spain; Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria; Centre National de la Recherche Scientifique, Biochimie et Physiologie Moléculaire des Plantes, Montpellier SupAgro, 2 Place Pierre Viala, 34060 Montpellier, France
SUPPRESSION OF PERIOD DOUBLING CHATTER IN HIGH-SPEED MILLING BY SPINDLE SPEED VARIATION

Spindle speed variation is a well known technique to suppress regenerative machine tool vibrations, but it is usually considered to be effective only for low spindle speeds. In the current paper, spindle speed variation is applied to the high speed milling process, at the spindle speeds where the constant speed cutting results in period doubling chatter. The stability analysis of triangular and sinusoidal shape variations is made numerically with the semi-discretization method. It is shown that the milling process can be stabilized by increasing the amplitude of the spindle speed variation, while the frequency of the variation has no significant effect on the dynamic behaviour. The results are validated by experiments. Based on the analysis of the machined workpieces, it is shown that the surface roughness can also be decreased by the spindle speed variation technique.
Protein fingerprinting as a complementary analysis to classical phenotyping for the identification of lactic acid bacteria from Tenerife cheese.

A total of 125 lactic acid bacteria (LAB) from the genera Lactococcus, Lactobacillus and Leuconostoc isolated from Tenerife cheese were identified by both classical phenotypic and pro- tein fingerprinting methods. Classical identification revealed the presence of 11 different species and subspecies of LAB. Lactobacilli and leuconostocs identification was easy to achieve with the API 50 CH system. By contrast, the identification of lactococci was difficult due to the heterogeneous and atypical profiles displayed by our strains. Sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE) of cell-free extracts (protein fingerprinting) has proved to be an efficient identification method for LAB from Tenerife cheese. It generated complex and stable patterns that are easy to interpret and compare with those of the reference strains. SDS-PAGE analysis could discriminate well between the 8 different species and subspecies of LAB. However, the assignment of LAB strains to one of the Leuconostoc mesenteroidessubspecies required, in addition to protein fingerprinting, the performance of two biochemical tests. When results of both identification methods were compared, 23% of Tenerife cheese LAB isolates turned out to have been misclassified by the classical technique. lactic acid bacteria / cheese / identification / protein fingerprinting