Miracle-dz/UniFAR-FTUs huggingface dataset:
6-Desaturase-Like Encoding Gene Introduction in Catfish ( Clarias gariepinus )

African catfish ( Clarias gariepinus ) is one of the economically valuable aquaculture fish species in Indonesia. This research was aimed to produce F0 transgenic catfish carrying masou salmon Δ6-desaturase-like (OmΔ6FAD) gene. The Δ6-desaturase enzyme is involved in highly unsaturated fatty acid biosynthesis. Transgenic catfish was produced by sperm-mediated gene transfer using electroporation method. In this study, as the first step, sperms were electroporated with three different OmΔ6FAD concentration (25, 50, and 100 µg mL -1 ) to have the highest sperm viability after electroporation (125 V/cm, pulse frequency 5 times, pulse length 30 millisecond, pulse interval 0.1 second). The highest sperm viability and sperm carrying OmΔ6FAD were obtain at 100 µg mL -1 . This concentration was then used to produce F0 transgenic catfish in the second step. Sperm motility, sperm viability, fertilization rate, hatching rate, and larval survival at 14 days after hatching were the same as the controls (p>0.05). Genomic DNA was extracted from caudal fin and then used as template to identify transgenic F0 by PCR method using specific primer for OmΔ6FAD gene. The PCR result showed that 53.84% of F0 carried OmΔ6FAD gene. The result of fatty acid analysis showed that EPA and DHA contents of F0 transgenic fish and non-transgenic fish were similar. Keywords: catfish, Δ 6-desaturase-like gene, fatty acids, electroporation
Biodegradation capability of bacterial species isolated from oil contaminated soil

Oil spills do so much more damage than just the initial havoc we see on the news and the effects can be very long lasting. Microorganisms are used to change harmful substances to non-toxic substances. This is a new technology for treating chemical spills and hazardous waste. This paper has studied the performance of different bacterial species in degrading the oil components. The degradation capability of isolated bacterial species were identified with solvent extraction method and confirmed by FT-IR analysis. Pseudomonas sp. found to degrade oil better than other isolated species. Pseudomonas degraded 90.2% of oil in 30 d followed by 82.3% of oil degraded by Bacillus, 78.8% of oil degraded by Serratia and 25.5% of oil degraded by Staphylococcus. Then, Pseudomonas was immobilized using sodium alginate method and no decline in biodegradation capacity of the immobilized consortium of bacterial cells was noted. The mixed bacterial culture degraded 97.2% of the oil components during 30 d of incubation, which is the maximum efficiency in this study.
Use of real time creep force estimation data for assessment of low adhesion in the wheel/rail contact

Low adhesion in railway vehicle wheel/rail contact can create large cost and punctuality issues for train operators and users. There is currently a lack of real time knowledge of the running conditions on networks, therefore the work reported here proposes a method of detecting dynamically the adhesion conditions underneath a rail vehicle using modest cost sensors and advanced model based monitoring of the creep forces. The estimated creep forces are then post processed to give an estimation of the current adhesion condition.
AtRabD2b and AtRabD2c have overlapping functions in pollen development and pollen tube growth

Background: Rab GTPases are important regulators of endomembrane trafficking, regulating exocytosis, endocytosis and membrane recycling. Many Rab-like proteins exist in plants, but only a subset have been functionally characterized. Results: Here we report that AtRabD2b and AtRabD2c play important roles in pollen development, germination and tube elongation. AtrabD2b and AtrabD2c single mutants have no obvious morphological changes compared with wild-type plants across a variety of growth conditions. An AtrabD2b/2c double mutant is also indistinguishable from wild-type plants during vegetative growth; however its siliques are shorter than those in wild-type plants. Compared with wild-type plants, AtrabD2b/2c mutants produce deformed pollen with swollen and branched pollen tube tips. The shorter siliques in the AtrabD2b/2c double mutant were found to be primarily due to the pollen defects. AtRabD2b and AtRabD2c have different but overlapping expression patterns, and they are both highly expressed in pollen. Both AtRabD2b and AtRabD2c protein localize to Golgi bodies. Conclusions: These findings support a partially redundant role for AtRabD2b and AtRabD2c in vesicle trafficking during pollen tube growth that cannot be fulfilled by the remaining AtRabD family members.
Modeling farmers' decisions on child labor and schooling in the cocoa sector: a multinomial logit analysis in Côte d'Ivoire

Since 2000, children working in the cocoa sector of Cote d'Ivoire have found themselves in the media spotlight. This situation has assumed particular importance because approximately 40% of the world's cocoa production occurs in Cote d'Ivoire. Concerned parties have since taken great interest in this thorny issue. There is a need to better understand the reality of child labor utilization in this sector. This article investigates child labor issues in the cocoa sector of Cote d'Ivoire in conjunction with schooling status of children. The study is based on a survey done in 2002, over a representative sample of more than 11,000 members of cocoa households. The multinomial logit model is used to capture choice probabilities across work and/or school options. The results reveal that child labor in cocoa farms and nonenrollment in schools are significant. Moreover, many children are involved in potentially dangerous and/or harmful tasks. Data also highlight gender and age dimensions in the participation of children in tasks and the way labor is allocated. Econometric results generally indicate that the gender and age of children, whether or not the child is the biological child of the household head, parents' education, the origin of the farmer, household welfare, household size, the household dependency ratio, the size of other perennial crop farms, the number of sharecroppers working with the household head, and communities' characteristics are all pertinent in explaining the child work/schooling outcome in the cocoa sector of Cote d'Ivoire.
Evaluation of QoS in RF/Li-Fi hybrid networks on 5th generation environments

espanolEste documento se elaboro para evaluar los escenarios mas relevantes en los que es necesario establecer parametros de QoS sobre redes hibridas RF/Li-Fi, con la intencion de determinar las posibilidades de mejora que ofrece esta tecnologia y valorar de forma realista el potencial de desarrollo, especificamente, sobre servicios en tiempo real. Se revisan las alternativas en IoT, aplicaciones, balanceo de cargas, escenarios de 5a generacion, sensores wireless y seguridad, ademas de simulaciones y arquitecturas de interoperabilidad de tecnologias. EnglishThis paper evaluates the most relevant scenarios in which establishing QoS parameters on RF/Li-Fi hybrid networks is necessary. The objective is to determine the improvement possibilities provided by this technology and realistically value its development potential, specifically for services in real time. We reviewed the alternatives in Internet of Things (IoT), applications, load balancing, scenarios of 5th generation, wireless sensors, and security, in addition to simulations and architectures of technology interoperability.
Plasma-assisted deposition of microcapsule containing Aloe vera extract for cosmeto-textiles

Dielectric Barrier Discharge (DBD) atmospheric-pressure plasma was employed to enhance the deposition of commercial microcapsules (MCs) containing Aloe vera extract onto a cotton/polyester (50:50) fabric. DBD conditions were optimized in term of energy dosage and contact angle. The MCs were applied by padding and printing methods and the coatings were characterized in terms of SEM and FTIR. MCs display a spherical shape with size between 2 and 8 μm with an average wall thickness of 0.5 μm. The MCs applied by printing and pretreated with a plasma dosage of 1.6 kW m2 min-1 showed the best results with an increased adhesion of 200% and significant penetration of MCs into the fibres network. Plasma printed fabric retained 230% more MCs than untreated fabric after 10 washing cycles. However, the coating resistance between unwashed and washed samples was only improved by 5%. Considering the fact that no binder or crosslinking agents were used, the DBD plasma-assisted deposition of MCs revealed to be a promising environmental safe and low cost coating technology.
A MLPG (LBIE) METHOD FOR SOLVING FREQUENCY DOMAIN ELASTIC PROBLEMS

A new meshless local Petrov-Galerkin (MLPG) method for solving two dimensional frequency domain elastodynamic problems is proposed. Since the method utilizes, in its weak formulation, either the elastostatic or the frequency domain elastodynamic fundamental solution as test function, it is equivalent to the local boundary integral equation (LBIE) method. Nodal points spread over the analyzed domain are considered and the moving least squares (MLS) interpolation scheme for the approximation of the interior and boundary variables is employed. Two integral equations suitable for the integral representation of the displacement fields in the local subdomains are used. The first utilizes the frequency domain fundamental solution, comprises only boundary integrals and exploits the elastodynamic companion solution, which is derived in the framework of the present work. The second equation makes use of the simple elastostatic fundamental solution, employs the elastostatic companion solution in order to get rid of tractions on the local boundaries and contains both boundary and volume integrals. On the global boundary, derivatives of the shape functions of the MLS approximation are avoided by considering displacements and tractions as independent variables. Direct numerical techniques for the accurate evaluation of both surface and volume integrals are employed and presented in detail. All the strongly singular integrals are computed directly through highly accurate integration techniques. Three representative numerical examples that demonstrate the accuracy of the proposed methodology are provided. keyword: LBIE method, meshless method, frequency domain companion solution, elastodynamics 1 Department of Mech. Engng. University of Patras (Greece), Institute of Chem. Engng. and high temperature process (Patras Greece) 2 Department of Mech. Engng. University of Patras (Greece), Institute of Chem. Engng. and high temperature process (Patras Greece)
Exports-Economic Growth Causality: Evidence from CEE Countries

hypothesis (GLE) for the Central and Eastern European Countries (Bulgaria, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovenia, Slovakia) through cointegration and causality tests. The estimation is carried out within finite-order vector autoregressive (VAR) models in levels, in first-differences and error correction models. When considering bivariate systems, causality from exports to GDP is obtained for Bulgaria, the Czech Republic, Estonia, Latvia and Lithuania. Causality from GDP to exports is indicated for Bulgaria, the Czech Republic, Estonia, Hungary, Lithuania, Romania and Slovenia. We also investigate if the above results still hold when including the other relevant component of the foreign trade, i.e. imports. In trivariate systems, ELG remains valid in the Czech Republic only and becomes valid in Lithuania while GLE is validated in Hungary, Romania and Slovenia.
The Influence of an Activity-Based Explicit Approach on the Turkish Prospective Science Teachers’ Conceptions of the Nature of Science

The aim of this study was to investigate the effect of an activitybased explicit nature of science (NOS) instruction undertaken in the context of a “Science, Technology and Society” course on the prospective science teachers’ (PSTs’) understandings of NOS. In this course, social science based inquiry activities were used to as a context to lead reflection and explicit discussions and project based learning approach (PBL) was used to model an active student centred NOS teaching and learning. Participants were 36 senior PSTs. An adopted form of VNOS questionnaire along with semi-structured interviews was used to assess participants’ conceptions before and after the instruction. Data were analysed both qualitatively and quantitatively. It was found that the majority of PSTs hold naive or mixed views about most aspects of NOS at the beginning of the instruction. The post assessment indicated a substantial development in the participants' conceptions about many aspects of science; however, little change took place for either conceptions related to the social and cultural influences on science or creativity and imagination in science.
Practical training as part of higher environmental education

Role and benefits of a compulsory practical training in environmental science education are investigated with respect to the three institutional goals of university education, i.e. (1) reproduction of research, (2) professional education, and (3) general natural science education. An empirical survey is presented showing which student qualifications are improved by a practical training complementary to traditional university education. The survey assesses 14 qualifications of students who participated in a compulsory 15-week practical training in the 5-year diploma program in environmental sciences at the Swiss Federal Institute of Technology (ETH Zurich), Switzerland. Preand post practical training questionnaires of 478 students and 293 supervisors from practice are included. Vocational training improves qualifications complementary to conventional university education in particular, general abilities and key qualification, such as communication skills, report writing, organization of work, and information acquisition. Also salient qualifications of complex environmental problem solving such as the ability to deal with uncertainty and to detect relevant aspects are promoted (by the practical training). The results suggest that practical training is of high value for professional education and enhances general key qualifications such as the ability to operate independently. However, practical training also enhances students‘ complex problem solving ability under uncertainty, which is of importance for the development of research capability in the field of environmental sciences, too.
ARPPA: Mining Professional Profiles from LinkedIn Using Association Rules

Human resources managers design and develop professional profiles to maximize the organization workforce. These organizations typically maintain extensive static resume databases from where managers extract and analyze professional data, discovering people with appropriate knowledge, skills and experience to fulfill organizational positions. Nowadays, online professional networks, such as LinkedIn, provide a rich, dynamic, and massive scale resume database useful for professional profile analyses. Considering such massive scale databases, while manual analysis is an exhaustive and often prohibitive task, the use of data mining techniques allows managers to effectively the huge volume of data with a lower cost. In particular, for educational institutions focused on the development of persons with knowledge and skills required by organizations, the use of data mining techniques over professional networks is paramount to plan, direct and implement academic activities and curricula. In this article, we introduce ARPPA, a novel approach to discover professional profile patterns from LinkedIn by using association rules mining. Particularly, our approach crawls resumes from LinkedIn uses a multidimensional data model suitable for professional profile analyses to create and load the crawled data to a data warehouse, and extracts relevant patterns from the data warehouse using an Apriori algorithm. Additionally, we evaluate our approach attesting its usefulness to plan, direct and implement academic activities and curricula in educational institutions.
The role of a “ decision view ” in software architecture practice

A “decision view” provides a useful addition and complement to more traditional sets of architectural views and viewpoints; it gives an explanatory perspective that illuminates the reasoning process itself and not solely its results. This decision view documents aspects of the architecture that are hard to reverse-engineer from the software itself and that are often left tacit. The decision view and the decisions that it captures embody high-level architectural knowledge that can be transferred to other practitioners, merged when systems are merged, and offer useful support for the maintenance of large and long-lived software-intensive systems. This article leads the reader through a succession of epiphanies: from design to architecture, then architecture representation to architecture design methods, and finally to architectural design decisions.
Liquidity as an Insurance Problem

Risk-averse individuals wish that assets concentrate their payoffs in states of high marginal value (that is, highly likely or low endowment states). An asset or portfolio may fail to do so, by having payoffs uncorrelated to its owner needs or, even worse, by having them inversely related. The latter, which we call tier 1 illiquidity, is shown to occur in non-Walrasian markets (where a trade involves bargaining) and in incomplete Walrasian markets where optimal trading strategies are non trivial. In both cases, the high valuation of the trader biases the equilibrium price against him. The former, which we call tier 2 illiquidity, is shown to arise when individual shocks are privately observed, because moral hazard prevents contracting on them. Diamond and Dybvig (1983) and Holmstrom and Tirole (1998) present prominent examples of tier 2 illiquidity. However, a self-insurance model is offered to argue that the importance of this type of illiquidity is limited from a welfare perspective, provided individuals are patient enough and can trade in a perfectly competitive, complete—except for individual-level uncertainty— set of asset markets. This article characterizes an asset's liquidity as the degree of insurance it provides, thereby identifying the basic economic problem behind liquidity as one of the familiar risk-sharing kind. It also shows, by means of examples, that the problem arises when asset markets are imperfectly competitive, incomplete, or both.
Genetic diversity for yield and its component traits in green gram [Vigna radiata (L.) Wilczek]

Genetic diversity analysis is a powerful tool in qua ntifying the degree of divergence between biological populations and to assess the relative contribution of different compo nents of total divergence. The present investigatio n aimed to study the genetic divergence and clustering pattern of 50 gen otypes of Green gram (Vigna radiata L. Wilczek) for selection of suitable parents that can be utilized in hybridization progr amme and to study the genetic parameters attributin g to yield. The crosses of genotypes from cluster I, i.e. Kopergaon, Vaibhav , BM-4 and BM-2005-1 with those of genotypes BM-2003 -2, PM-20318, AKM-9907 and AKM-08-01 belonging to cluster III aRVSM-11, PM-201-19, ML-1354, AKM-0603 belonging t o cluster II has the highest intercluster distance an d might produce high level of segregating populatio n in regards to yield as well as earliness. Among the thirteen characters the protein content contributed maximum amount towards divergence. High heritability estimates coupled with high genetic adv ance was observed for harvest index and biological yper plant resembling the action of additive genes in controll ing these particular characters and selection would be rewarding for yield improvement.
Human Appearances with Medical Properties

To be able to deal with the highly dimensional pose space, scene complexity, as well as other human appearances, nearly all existing works require computationally complex training and template matching processes. The positioning, dimensions, and color of the face area can be used for the localization of the body, construction of the models for that lower and upper body based on anthropometric constraints, and estimation of your skin color. We advise a bottom-up methodology for automatic extraction of human physiques from single images, within the situation of just about upright poses in cluttered environments. Segmentation of human physiques in images is really a challenging task that may facilitate numerous applications, like scene understanding and activity recognition. Different amounts of segmentation granularity are combined to extract the pose with greatest potential. Qualitative and quantitative experimental results show our methodology outperforms condition-of-the-art interactive and hybrid top-lower/bottom-up approaches. The segments owed to the body arise with the joint estimation from the foreground and background throughout the part of the body search phases, which alleviates the requirement for exact shape matching.
The Impact of Cognitive Intervention Program and Music Therapy in Learning Disabilities

The aim of this experimental study is to evaluate the impact of Cognitive Intervention Program for Children with Learning Disabilities in collaboration with music therapy. This research consisted from 12 participants, children with ages differing between 6 7 years. Cognitive Intervention Program in collaboration with music therapy has been applied to 6 children that are in the experimental group. Other 6 children in the control group received only Cognitive Intervention Program, that was developed based on PASS theory. CAS test on two groups of children was performed after the interventions. The CAS total final test scores, suggests that experimental group resulted with significant difference from control group, p=, 002. Based on the findings of this study it can be suggested that interconnection of Music Therapy with Cognitive Intervention Program enables children with learning disability to be a step ahead in four problem areas, since intervention in these areas is twofold and can cover weaknesses of each other. © 2014 The Authors. Published by Elsevier Ltd. Peer-review under responsibility of the Academic World Education and Research Center.
Model-based iterative reconstruction using higher-order regularization of dynamic synchrotron data

We present a novel iterative reconstruction method applied to in situ x-ray synchrotron tomographic data of dendrite formation during the solidification of magnesium alloy. Frequently, fast dynamic imaging projection data are undersampled, noisy, of poor contrast and can contain various acquisition artifacts. Direct reconstruction methods are not suitable and iterative reconstruction techniques must be adapted to the existing data features. Normally, an accurate modelling of the objective function can guarantee a better reconstruction. In this work, we design a special cost function where the data fidelity term is based on the Group-Huber functional to minimize ring artifacts and the regularization term is a higher-order variational penalty. We show that the total variation penalty is unsuitable for some cases and higher-order regularization functionals can ensure a better fit to the expected properties of the data. Additionally, we highlight the importance of 3D regularization over 2D for the problematic data. The proposed method shows a promising performance dealing with angular undersampled noisy dynamic data with ring artifacts.