Miracle-dz/UniFAR-FTUs huggingface dataset:
In vitro plant regeneration, screening for salt and drought tolerance in sugarcane (Saccharum Spp.)

Soil salinity and drought are some of the major sugarcane production factors in Ethiopia. This investigation was conducted to develop, screen and select salt and drought tolerant genotypes under in vitro condition. Both direct and indirect pathways were employed in the development and selection of salt and drought tolerant lines from the commercial varieties. In all cultures, explants were inoculated to Murashige and Skoog (MS) medium supplemented with inhibitory levels of NaCl (0, 30, 100, 170 & 240 mM) and polyethylene glycol (0, 2.5, 5, 7.5 & 10%) concentrations. During callus induction, data for percent of explants induced callus and its morphological status were collected to evaluate varieties, and select healthy, salt and polyethylene glycol (PEG) tolerant calli. Moreover, shoot regeneration percentage, shoot Vigrousity and color were taken as major criteria to select stress (salt and PEG) tolerant shoot while data for plantlet root attributes were collected to screen stress tolerant plantlets. Results of the study indicated that health and salt tolerant calli and shoots were identified at MS medium supplemented with 170 Mm while 10% PEG was the best selection medium to select healthy and PEG tolerant calli and shoots. Our screening results suggested that the in vitro developed regenerants were more discriminated at 240 mM NaCl where S4SP-70-1284, S4 C0-501 and S2B-78-505 were selected as salt tolerant regenerants. Moreover, more variability was observed at MS medium induced with 10% polyethylene glycol where regenerants D4C-132-81, D5C-132-81, D3B52-298, D2B52-298 and D4B52-298 showed better degree of tolerance to drought. The dendrogram separated those regenerants developed through direct regeneration from those regenerants developed through indirect regeneration. It suggested the existence of somaclonal variation. Moreover, both dendrograms were capable of separating those regenerants exhibiting tolerance to the stresses in question thereby suggesting the existence of variability in relation to stress tolerance. We recommend these regenerants be used as a source of variability for future stress breeding studies. Moreover, these regenerants can be used as alternative varieties at salt affected and soil moisture limited fields of sugarcane production areas. However, it should be further evaluated for yield and yield quality before using for commercial purposes.
Nonlinear impurity in a lattice: Dispersion effects

We examine the bound state(s) associated with a single cubic nonlinear impurity, in a one-dimensional tight-binding lattice, where hopping to first- and second-nearest neighbors is allowed. The model is solved in a closedform via the use of the appropriate lattice Green function, and a phase diagram is obtained showing the number of bound states as a function of the nonlinearity strength and the ratio of second- to first-nearest-neighbor hopping parameters. Surprisingly, a finite amount of hopping to second-nearest neighbors helps the formation of a bound state at smaller (even vanishingly small) nonlinearity values. As a consequence, the self-trapping transition can also be tuned to occur at relatively small nonlinearity strength, by this increase in the lattice dispersion.
FEATURE MODELLING OF HIGH RESOLUTION REMOTE SENSING IMAGES CONSIDERING SPATIAL AUTOCORRELATION

To deal with the problem of spectral variability in high resolution satellite images, this paper focuses on the analysis and modelling of spatial autocorrelation feature. The semivariograms are used to model spatial variability of typical object classes while Getis statistic is used for the analysis of local spatial autocorrelation within the neighbourhood window determined by the range information of the semivariograms. Two segmentation experiments are conducted via the Fuzzy C-Means (FCM) algorithm which incorporates both spatial autocorrelation features and spectral features, and the experimental results show that spatial autocorrelation features can effectively improve the segmentation quality of high resolution satellite images.
Estimating the Brittle Strength of Nuclear Fuel Material

The development of nuclear energy involves use of promising nitride nuclear fuel in reactors of the 4th generation. This will require improving the fuel production technology as well as its test methods. For estimation of the strength of the nuclear fuel material as well and for further refinement of nuclear fuel test technology we propose to use small discoid samples, similar in shape to the elements of nuclear fuel in the context of "Brazilian test" (compression applied to disk specimen in the median plane). We present here the results of testing small discoid specimens made of brittle materials such as cast iron and graphite (both being considered as possible model materials for the nuclear fuel). We compared these materials to nuclear fuel itself (as represented by uranium dioxide). In addition the effect of the specimen size on resistance to destruction was investigated. The type of deformation and fracture found in samples made from cast iron suggests that this material cannot be used as a model for the nuclear fuel. At the same time the results obtained in tests on samples composed of graphite ARV-1 were in good agreement with the results of tests on uranium dioxide. Using the data obtained in this study, a calculation formula for determining the strength of the nuclear fuel material based on the “Brazilian test” results is proposed.
IJMEIT// Vol.04 Issue 09//September//Page No: 1773-1781//ISSN-2348-196x

The prevalence of ubiquitous computing and communication has coined the term of cloud computing through which, software, infrastructure and platform can be provided as a service. Software as a service (SaaS) is getting an increasing potential as a cloud-based option for using software applications in a payper-use manner. A critical challenge in SaaS model is continuous attestation of the compliance with quality of service (QoS) metrics stated in SLAs. In this paper, we propose a method for detecting performance anomalies in cloud software services. The proposed method uses correlation analysis between computing resources utilization and workload characteristics. This is done by comparing the correlation values to a reference load test values performed before the SaaS deployment to identify deviations and notify the system administrator about it. The testing scenario operates in two steps. First, running a standard benchmark on a virtual machine to simulate workload and record the correlation between workload and available computing resources utilization (i.e., CPU, RAM, HDD, and Network). Second, the same benchmark is executed again but with changing the workload characteristics through injecting additional queries or changing the computing resources configuration values of the virtual machine. The changes are only present on specific time points to testify the detection rate. Results on standard benchmarks TPC-C, TPC-D and TPC-W showed a promising detection rate that can assure SLA targeted quality aspects such as reliability, scalability and security. KeywordsSoftware as a Service, Cloud Services, Performance Testing, Anomaly Detection, Cloud Computing, Correlation Analysis
Current perspectives on the medicinal potentials of Vernonia amygdalina Del.

Vernonia amygdalina Del, commonly called bitter leaf, is a perennial shrub that belongs to the family Asteraceae and grows throughout tropical Africa. It is probably the most used medicinal plant in the genus Vernonia. Traditional medicine practitioners use the plant as an anti-helminth, anti-malarial, laxative, digestive tonic, appetizer, febrifuge and for the topical treatment of wounds. Scientific research in the last few decades has scrutinized these claims and found that extracts from the plant have numerous phytotherapeutic properties. Extracts from V. amygdalina Del have been shown to have antimicrobial (antibacterial, antifungal, antiplasmodial etc), anti-cancer/tumor, antioxidant, hypoglycemic/anti-diabetic, oxytocic, hepato- and nephro- protective, serum lipid modulation, and other properties. These properties are believed to be mediated by different phytochemicals found in the plant, acting singly or in concert. This paper critically reviews the present state of scientific knowledge on the medicinal and nutritional potentials of V. amygdalina Del. It concludes that future research must aim at characterizing the active principle(s) responsible for each effect, and determining if they act singly or synergistically with other principles present in the plant. Key words: Vernonia amygdalina, medicinal uses, nutrient composition.
Meta-Analysis Of Brain And Central Nervous System Microarray Datasets

Brain and CNS cancer are rare in comparison to other types of cancer. Currently there are no effective therapies for their treatment. In this study, meta-analysis of microarray datasets of Brain and CNS cancer was done to obtain significantly upregulated genes with increased statistical power and generalizability. A total of 130 significantly up-regulated genes were obtained. Some of the genes found during analysis have not yet been associated with this cancer. Different biological networks were created and analyzed using the significantly up-regulated genes as input. For each network, the most significant pathways have also been identified computationally.
DEVELOPMENT AND USE OF MICROSATELLITE MARKERS IN MARAMA BEAN

Marama bean [ Tylosema esculentum (Burchell) Schreiber] occurs naturally in arid parts of southern Africa. Due to the high nutrient value of the seeds and tubers; richness in protein, oil and starch; it is a potential crop for arid areas where few conventional crops can survive. Microsatellites are becoming the molecular marker system of choice because they are multiallelic and generally more informative. Recently, the development of SSR enrichment techniques has increased the efficiency of SSR characterisation in new species. The aim of the study was to develop SSR’s for detection of polymorphisms in Marama bean. The microsatellite regions of the genome were the main focus for potential to be used in Marama bean genetic diversity studies. Microsatellite loci were isolated from the Marama bean germplasm using a modified FIASCO enrichment technique. Nine Marama bean microsatellite libraries, enriched for (AAG) 7 , (GTT) 7 , (AGG) 7 , (GAG) 7 , (CA) 10 , (CT) 10 , (TCC) 7 , (CA) 15 and (CAC) 7 , were created. Of the 80 primers designed, 76% were able to detect polymorphism. Four of the SSR’s were used for a genetic variation analysis and have proved to be useful and informative for genetic diversity studies.
GENETIC EVALUATION OF THE TEXEL BREED IN URUGUAY: I. CARCASS QUALITY TRAITS

The present study reports preliminary estimates of heritabilities of meat quality traits and genetic correlation among them and with carcass quality based on data on 424 lambs of the Texel Central Progeny Testing in Uruguay. Moderate heritabilities were estimated for color parameters, Warner-Braztler shear force (WBSF), intramuscular fat content (IMF) and fatty acid profile (percentage of saturates, monounsaturated and polyunsaturated fatty acids). Genetic correlations between fat thickness by ultrasound and GR were positive and moderate between them and with IMF. In contrast, rib eye area, which is an indicator of carcass muscling, was negatively correlated with IMF. This meat quality trait is relevant given its association with eating quality traits and nutritional value of lamb meat. The correlation between IMF with WBSF was -0.29 indicating that leaner lamb meat will tend to be less tender. On the other hand, genetic correlations of IMF with fatty acids percentages suggest that lower contents of IMF will have higher proportions of "healthier" fatty acid. Genetic improvement for higher meat yield is possible given the genetic variability estimated, but these preliminary associations suggest the need to take into account simultaneously meat quality traits to avoid any unfavorable effects, due to correlated responses.
VISUAL ANALYSIS OF TIME AND LOCATION DEPENDENT DATA ON THE MAPS

Data are numerical or non-numerical set of research results obtained from various observations by a researcher. Data analysis is the process of collecting, modeling and transforming to another form. Application of statistical methods and techniques in data analysis was a very time consuming process in a period when the computers and software were not in our lives. Today, with the widespread use of computer, the innovations occurring in this area allow the process of data analysis to be made easier.
Testing for tail breaks in currency returns

In this work project we study the tail properties of currency returns and analyze whether changes in the tail indices of these series have occurred over time as a consequence of turbulent periods. Our analysis is based on the methods introduced by Quintos, Fan and Phillips (2001), Candelon and Straetmans (2006, 2013), and their extensions. Specifically, considering a sample of daily data from December 31, 1993 to February 13, 2015 we apply the recursive test in calendar time (forward test) and in reverse calendar time (backward test) and indeed detect falls and rises in the tail indices, signifying increases and decreases in the probability of extreme events.
Orthodontic bonding of tooth colored brackets from a different perspective: an optical coherence tomography investigation

Bracket bonding has become routine procedure in fixed orthodontics over the past couple of decades. The choice whether to receive ceramic or polycarbonate brackets is mainly the patient's but the issues related to bonding them are part of the practitioner's responsibility. Recurrent bracket debonding can unduly prolong treatment or even lead to compromised results. Therefore, we collected human extracted premolars and bonded them with aesthetic brackets and investigated them by a new, non-invasive method - optical coherence tomography (OCT) in order to assess the quality of the bracket-tooth interface. The OCT investigation revealed a series of gaps within the adhesive at the bracket-tooth interface.
Prolate Spheroidal Coordinate: An Approximation To Modeling Of Ellipsoidal Drops In Rotating Disc Contractor Column

In many situations the shape of the drops contained in a liquid or porous media is not perfectly spherical. Accurate modeling of the process extraction in Rotating Disc Contractor (RDC) column is only possible with accurate description of the geometry of the drop. In this research, the diffusion equation given in prolate spheroidal coordinate system is used for a two-dimensional case. An analytical solution of the unsteady diffusion equation describing mass transfer for prolate spheroidal drops, considering a constant diffusion coefficient is presented. The resulting equations are analytically solved by using the separation method. The solution describes that the concentration of the drop decreases with the increases of drop shapes. This model can be used to study the mass transfer process of liquid-liquid extraction in RDC Column for spheroidal drop.
A second varanopseid skull from the Upper Permian of South Africa: implications for Late Permian ‘pelycosaur’ evolution

Late Permian terrestrial faunas of South Africa and Russia are dominated taxonomically and ecologically by therapsid synapsids. On the basis of a single specimen from the Upper Permian of South Africa, the varanopseid Elliotsmithia longiceps is the sole basal synapsid (‘pelycosaur’) known from Gondwana. Recent fieldwork in the Upper Permian of South Africa has produced a second varanopseid specimen that is referrable to Elliotsmithia. Data from both this specimen and the holotype suggest that Elliotsmithia forms a clade with Mycterosaurus from the Lower Permian of North America and Mesenosaurus from the Upper Permian of Eastern Europe. That postulate is supported by the three most parsimonious trees discovered in a new analysis of varanopseid phylogeny. However, the available data cannot resolve the interrelationships of these three genera. The new phylogenetic results contrast with earlier work identifying Elliotsmithia as the basal member of a clade that includes the North American taxa Aerosaurus, Varanops, and Varanodon. The new trees reduce the stratigraphic debt required by the latter scenario, and the one with the least stratigraphic debt identifies Elliotsmithia and Mesenosaurus as sister taxa. Two new taxa are erected, Mycterosaurinae and Varanodontinae, for the two varanopseid subclades.
CORRELATION BETWEEN ANTHROPOMETRY, BIOCHEMICAL MARKERS AND SUBJECTIVE GLOBAL ASSESSMENT - DIALYSIS MALNUTRITION SCORE AS PREDICTORS OF NUTRITIONAL STATUS OF THE MAINTENANCE HEMODIALYSIS PATIENTS

Background: Protein energy malnutrition is the major cause of poor prognostic outcome in patients on maintenance hemodialysis (MHD). The assessment of nutritional status in patients on maintenance hemodialysis should be done both subjectively and objectively by integrating clinical, biochemical and anthropometric measurements. A study was conducted to assess the possible correlations between the subjective global assessment-dialysis malnutrition score (SGA-DMS), anthropometric measurements, and biochemical parameters in hemodialysis patients. Methods: The study included 90 patients (55 males and 35 females; age range of 25 to 73 years; mean age 52.62 ± 11.7 years) undergoing twice/thrice weekly maintenance hemodialysis for six months and above in the dialysis unit of a tertiary care teaching hospital. The MHD patients were assessed by SGA -DMS, anthropometry and biochemical indicators (serum albumin, iron, ferritin and transferrin) of nutritional status. Results: According to the SGA-DMS 54.4 % were moderate to severely malnourished, 31% were mild to moderately nourished and 14.4% were well nourished. There was a highly significant negative correlation between SGA –DMS and serum albumin, iron, transferrin; positive correlation between SGA-DMS and ferritin (P<0.0001). Body mass index, upper arm circumferences, and skin fold thickness had a highly significant negative correlation with SGA-DMS (P<0.001), where as the lean body mass, total body water and the fat free mass had a significant negative correlation (P<0.05). Conclusion: SGA-DMS correlated with anthropometric and biochemical parameters that are indicative of nutritional status. SGA –DMS used in conjunction with other objective nutritional assessment methods may be of greater impact in determining nutritional status of hemodialysis patients.
MPC-Based Path Following Control of an Omnidirectional Mobile Robot with Consideration of Robot Constraints

In this paper, the path following problem of an omnidirectional mobile robot (OMR) has been studied. Unlike nonholonomic mobile robots, translational and rotational movements of OMRs can be controlled simultaneously and independently. However the constraints of translational and rotational velocities are coupled through the OMR's orientation angle. Therefore, a combination of a virtual-vehicle concept and a model predictive control (MPC) strategy is proposed in this work to handle both robot constraints and the path following problem. Our proposed control scheme allows the OMR to follow the reference path successfully and safely, as illustrated in simulation experiments. The forward velocity is close to the desired one and the desired orientation angle is achieved at a given point on the path, while the robot's wheel velocities are maintained within boundaries.
THE PERSONALITY PARADOX IN OFFENDER PROFILING A Theoretical Review of the Processes Involved in Deriving Background Characteristics From Crime Scene Actions

Most approaches to offender profiling depend on a naive trait perspective, in which the task of predicting personality characteristics from crime scene actions relies on a model that is nomothetic, deterministic, and nonsituationist. These approaches rest on two basic premises: behavioral consistency across offenses and stable relationships between configurations of offense behaviors and background characteristics. Research supports the former premise but not the latter. Contemporary trait psychology reveals that this is probably due to the fact that Person Situation interactions have an effect on offense behavior. When profiling reports rely on a naive trait approach, such reports should be used with caution in criminal investigations and not at all as evidence in court until research demonstrates its predictive validity.
DROPOUT OF ADULT LEARNERS RETURNING TO UNIVERSITY: INTERACTIONS OF MOTIVATIONAL AND ENVIRONMENTAL FACTORS

The purpose of this paper is to highlight how motivational and contextual factors interact together to explain the dropout process of adult learners returning to university. From seventeen semi-structured interviews, four main interactions have been identified between entry motives, dimensions of perceived value and expectancy, life and learning contexts. The findings from this study indicated that studying dropout of adult learners with motivational factors enables a deeper understanding taking into account the different commitments of this population and the motivational dynamic.
Malayalam OCR Systems- A Survey

The success of Technology is judged by its power to address the problems of common men. As the language of the world, the dominance of English in information processing is a fait accompli. Researchers are trying to break this language supremacy by equipping localized computing. Reading printed or written document is easy for human. Optical Character Recognition aims at gaining similar capabilities for the machine as well. This paper reviews major works on Character Recognition of Malayalam, a south Indian language. This survey is an approach to compare different methodologies and phases in machine recognition.
Traveling wave modeling of dynamics in semiconductor ring lasers

We use the traveling wave model for simulating and analyzing nonlinear dynamics of complex semiconductor ring laser devices. This modeling allows to consider temporal-spatial distributions of the counter-propagating slowly varying optical fields and the carriers, what can be important when studying non-homogeneous ring cavities, propagation of short pulses or fast switching. By performing numerical integration of the model equations we observe several dynamic regimes as well as transitions between them. The computation of ring cavity modes explains some peculiarities of these regimes.
High-Efficiency Electromagnetic Wave Controlling with All-Dielectric Huygens’ Metasurfaces

Subwavelength dielectric blocks with varying thicknesses are introduced to realize 0∼2 phase change. A Huygens’ metasurface composed of such nonuniform building blocks is shown to efficiently refract normally incident waves in a broadband. According to the same physical mechanism, we fabricate an electrically thin lens with concentric subwavelength dielectric blocks and integrate it with a patch antenna to form a three-dimensional (3D) ultra-low-profile lens antenna system. Full-wave simulation demonstrates the lens antenna’s excellent performances in high directivity, broadband, low loss, and low side-lobe levels.
Bumpless Transfer Design for Marine Propulsion System

A method for controller design and switching controller without bump effect has been proposed for a marine propulsion system with diesel engine used as propeller prime-mover. Due to different regimens operation of ship propulsion, it is common practice to design more than one linear controller, each at a different operating point, and to switch between them; which enables the system to be controlled satisfactorily within the whole of its operating range. Each design consists of a feedback H-controller (FBHC) and an associated bump-less transfer H-controller (BLT-HC). The method is implemented in an auto-tuning procedure and satisfactory results are obtained using real time hardware in the loop simulations (HILS). Key-Words: ship propulsion system, H controller, bumpless transfer