Miracle-dz/UniFAR-FTUs huggingface dataset:
iscernible visualization of high dimensional data using label nformation sef

Visualization methods could significantly improve the outcome of automated knowledge discovery systems by involving human judgment. Star coordinate is a visualization technique that maps k-dimensional data onto a circle using a set of axes sharing the same origin at the center of the circle. It provides the users with the ability to adjust this mapping, through scaling and rotating of the axes, until no mapped pointclouds (clusters) overlap one another. In this state, similar groups of data are easily detectable. However an effective adjustment could be a difficult or even an impossible task for the user in high dimensions. This is specially the case when the input space dimension is about 50 or more. In this paper, we propose a novel method toward automatic axes adjustment for high dimensional data in Star Coordinate visualization method. This method finds the best two-dimensional view point that minimizes intra-cluster distances while keeping the inter-cluster distances as large as possible by using label information. We call this view point a discernible visualization, where clusters are easily detectable by human eye. The label information could be provided by the user or could be the result of performing a conventional clustering method over the input data. The proposed approach optimizes the Star Coordinate representation by formulating the problem as a maximization of a Fisher discriminant. Therefore the problem has a unique global solution and polynomial time complexity. We also prove that manipulating the scaling factor alone is effective enough for creating any given visualization mapping. Moreover it is showed that k-dimensional data visualization can be modeled as an eigenvalue problem. Using this approach, an optimal axes adjustment in the Star Coordinate method for high dimensional data can be achieved without any user intervention. The experimental results demonstrate the effectiveness of the proposed approach in terms of accuracy and performance. © 2014 Elsevier B.V. All rights reserved.
Exploration of genetic polymorphism in targeted region of Protein Phosphatase 1 Regulatory subunit 11 (PPP1R11) in Murrah bulls

The present study was carried out with the objective to explore genetic polymorphism in Protein Phosphatase 1 Regulatory subunit 11 (PPP1R11) gene for its possible association with conception rate in Murrah bulls. Genomic DNA was isolated by phenol-chloroform extraction method from the frozen semen samples of 65 Murrah bulls maintained at Artificial Breeding Research Centre, ICAR-NDRI, Karnal. The quality and concentration of DNA was checked through spectrophotometer reading. The target region of PPP1R11 gene was amplified using 3 sets of primer designed based on Bos taurus reference sequence. The amplified products were sequenced, edited and aligned using Clustal Omega with Bubalus bubalis for identification of SNPs. A total of 7 SNPs were found, out of which 1 at exon 3 and 6 at 3’UTR. SNP in exon 3 at nt.G1932C resulted in non synonymous (Serine to Threonine) type of amino acid substitution at position 109 of PPP1R11 gene in Murrah. PCR-RFLP was carried out using restriction enzyme BsmAI for genotyping the animals. All Murrah animals included in present study were monomorphic with CC genotype for the targeted region of PPP1R11 gene.
Adsorption of CO, CO2, NO and NO2 on Boron Nitride Nanotubes: DFT Study

The adsorption of CO, CO2, NO and CO2 gas molecules on different chiralities of single boron nitride nanotubes (BNNTs) is investigated, applying the density functional theory and using basis set 6 - 31 g (d,p). The energetic, electronic properties and surface reactivity have been discussed. We found that the best BNNT for adsorbing the CO, CO2, NO and NO2 gas molecules is (5,0) BNNT with adsorption energy of -0.27, -0.37 eV, -0.23 and -0.92 eV, respectively. Also, the electronic character of (5,0), (9,0), (5,5) and (6,6) BNNTs is found to be not affected by the adsorption of CO, CO2, NO and NO2 gas molecules. It is found that the dipole moments of zig-zag (5,0) and (9,0) BNNTs are always higher than the arm-chair (5,5) and (6,6) BNNTs. Also, it is noticed that the highest dipole moment is for (9,0) BNNT.
Migration and Integration in German Cities

Norbert Kersting∗ in: Croatian and Compartiv Public Administration (18(2018)2: 201-222) Since 1945 Germany has been integrating economic migrants (from Southern Europe in the 1960s), as well as political refugees (as a result of the Balkan wars in the 1990s). Nevertheless, immigration policy has been relatively strict. In 2015 and 2016, there was a temporary policy shift and attracted by the German government, around 1.2 million people applied for asylum in Germany. These were predominately refugees from Syria. The article analyses who represents the interests of these refugees and the interests of other migrants in Germany. Since the 1990s, in some German cities they have been politically represented by advisory boards for cities. In this article, 14 representative cities are analysed and a representative sample of citizens and all councillors are interviewed in each city. In general, these boards are evaluated positively by citizens and by councillors alike, although acceptance is slightly lower in Eastern Germany.
Poly-ββ-hydroxybutyrate ( PHB ) Depolymerase from Fusarium solani

Fusarium solaniom produced maximum PHB depolymerase by 48 h when grown in BHM containing 0.2%, w/v PHB, pH 8.0 at 25C. Statistical optimization studies using Plackett Burman design of PHB depolymerase production yielded maximum PHB depolymerase activity aer 2 days as against 4 days in the unoptimized conditions with a 2-fold increase in activity. Partial puri�cation of the extracellular poly-ββ-hydroxybutyrate (PHB) depolymerase PHAZFFFFFF from F. solani om by two steps using ammonium sulphate (80% saturation) and affinity chromatography using concanavalin-A yielded 162.3-fold purity and 63% recovery of protein. e enzyme composed of a single polypeptide chain of 85KDa, as determined by SDS-PAGE. e enzyme stained positive for glycoprotein by PAS staining. Optimumenzyme activity was detected at pH 7.0 and 55C. e enzymewas stable at pH 7.0 and 55C for 24 h with a residual activity of almost 85%. Paper chromatography revealed ββ-hydroxybutyrate monomer as the major end product of PHB hydrolysis. Complete inhibition of the enzyme by 1mMHgCl2 (100%) indicated the importance of essential disul�de bonds (cystine residues) for enzyme activity or probably for maintaining the native enzyme structure.
RELATIVE FORCE AND PAP IN SWIMMING START PERFORMANCE

Firstly, it was studied the relationship between relative force (Frel) of the lower limbs in a isotonic Lunge test, with the performance in a swimming kick start (SS). Afterwards, were applied two Postactivation-Potentiation (PAP) specific warm ups in order to analyze their effect in performance considering the Frel of the subjects. Trained swimmers (n=14) volunteered in this study. Pearson product-moment correlation coefficients were used to verify the relationship between relative force and kinematic variables of a SS. Results revealed high correlation between relative force and performance in SS (Dive Distance: R2=0.872, p<0.001; Horizontal Hip Velocity: R2=0.308, p=0.049; Time to 15m: R2=-0.813, p<0.001). After PAP, swimmers with higher relative force showed a higher improvement on the kinematic variables of SS than those with lower values of strength.
Modeling SMA actuated systems based on Bouc-Wen hysteresis model and feed-forward neural network

Despite the fact that shape-memory alloy (SMA) has several mechanical advantages as it continues being used as an actuator in engineering applications, using it still remains as a challenge since it shows both non-linear and hysteretic behavior. To improve the efficiency of SMA application, it is required to do research not only on modeling it, but also on control hysteresis behavior of these materials which are the fundamentals of several research opportunities in this area. Having considered these requirements, we have introduced a mathematical model to describe the hysteresis behavior of a mechanical system attached to SMA wire actuators using Bouc-Wen hysteresis model and feed-forward neural network. Due to inability of linear mass-spring-damper equations of classic Bouc-wen model to explain the hysteresis behavior of SMA actuators, in this paper we have applied changes in the mentioned equations of classic Bouc-Wen model to describe hysteresis loops of model. We also have used flexibility of the neural network systems to describe Bouc-Wen output in the main equation. Parameters of the developed model have been trained for a real mechanical system using simulation data after selecting proper configuration for the selected neural network. Finally, we have checked the accuracy of our model by applying two different series of validation data. The result shows the acceptable accuracy of the developed model.
Application of radiosonde ascent rate variations to detect atmospheric turbulence affecting aircraft

Atmospheric turbulence is a significant hazard to aircraft, comprising 11% of weather-related aircraft accidents in recent decades. Research conducted in the late 1960s indicated a potential association between radiosonde ascent rates and aircraft turbulence, suggesting a potential way to produce proxy observations of turbulence. Recent advances in computing technology have allowed for a more thorough reexamining of these research findings that utilizes more available data. A total of 441 matched cases retrieved from 3.5 yr of sounding and pilot report data were analyzed. Statistical analysis of the data shows a clear relationship (with significance exceeding the α <0.01 level) between observed cases of moderate or greater turbulence and increased variations in ascent rate over a
Facial Landmark Detection and Localization Using Point Distribution Model

Facial landmark localization is one of the basic approaches to identify face alignments, achieve facial expression recognition and perform the same, even in the presence of occlusions. The acquisition conditions such as background complexity, degree of occlusion, illumination variations and expressions on the face affect landmark localization performance. Use of Eigen faces for shape modeling degrades the performance of the system as Eigen faces are not robust to variations in shape, pose and expression. In the proposed work, Landmark detection and localization is carried out using Point Distribution Model (PDM). The proposed method is implemented on MATLAB 2015a using existing standard datasets and very own dataset. Results obtained from the experiment indicate that proposed work detects and localizes facial landmarks more effectively when encountered with images exhibiting different degree of occlusions, expressions and pose variations. This, in turn makes the system more robust.
Evaluation of Major Fatty Acids Determination in Palm Oil by Gas Chromatography-Flame Ionization Detection

The fatty acid composition of palm oil is the major factor influencing its physical and chemical properties. The purpose of this research was to evaluate the analytical performance of major fatty acids (palmitic acid, stearic acid, oleic acid, and linoleic acid) analysis in palm oil. Triglycerides of palm oil were derivatized to fatty acid methyl esters (FAMEs) by using boron trifluoride (BF 3 ) in methanol. FAMEs were determined by gas chromatography-flame ionization detection (GC-FID) using DB-23 capillary column as stationary phase. The studied parameters were instrument performance analysis, the efficiency of fatty acid derivatization, stability of derivatized analytes, accuracy, repeatability, intra-lab reproducibility, ruggedness, and method uncertainty. The evaluation results showed the instrument linearity at a working range of 5 to 40 mg/mL marked by coefficient of determination ( R 2 ) between 0.991-0.995. Instrument limits of detection (LOD) and instrument limits of quantification (LOQ) for 4 major fatty acids analysis were 26-35 µg/mLand 86-128 µg/mL, respectively. The increase of fatty acid concentration led to the decrease of derivatization efficiency in the fatty acids analysis. The result also showed that derivatized analytes were stable during 24 h storage at freeze temperature. The average recovery values by spiking method with the spiking concentration at 50 and 90 mg/g sample were at 75-94 % for stearic and linoleic acids analysis, however those for palmitic and oleic acids analysis were considered very low (<40 %), due to their low derivatization efficiency. Repeatability and intra-lab reproducibility of 4 major fatty acids analysis were at acceptable ranges, 0.45-1.38 % and 1.15-2.03 %, respectively. Determination by varying the volume of derivatizing agent showed the rugged method. Uncertainty of repeatability ( U r ) and uncertainty of reproducibility ( U r ) were ranged at 1.84-9.02 mg/g and 1.40-10.65 mg/g, respectively. This method was considerably reliable for the analysis of less abundance fatty acids in palm oil, stearic and linoleic acids.
The role of contracting strategies in social value implementation

There has been an increasing demand for social value (SV) implementation to assume a cardinal position in the infrastructure delivery efforts of infrastructure client organisations (ICOs). However, whereas successful implementation has been recorded in some projects, monumental failures have also been recorded in others. This variance in implementation performance is a cause for concern. The mode of governance applied in an infrastructure delivery endeavour has been identified as capable of influencing the implementation of SV. This observation makes imperative an investigation into the role of contracting strategies – an integral part of governance modes – adopted by ICOs on SV implementation performance. This is the aim of this study. Using a case study approach, three infrastructure projects which used different contracting strategies were selected from two different countries, the UK and Nigeria. Semistructured interviews were conducted with ICO representatives on these projects and subsequently analy.
Influence of Mutual Coupling on Stability of RCS Response in Chipless RFID

The paper investigates the influence of mutual coupling between individual scatterings of chipless Radio Frequency Identification (RFID) tags based on its frequency-domain performance using a simplified equivalent circuit model. The proposed steady state analysis predicts a fast and satisfactory amplitude level and frequency position of resonant peaks of a predicted radar cross section (RCS) response. The proposed approach is capable of pre-evaluating a suitability of the particular scattered topology for implementing in chipless RFID tags. It is demonstrated on two different geometries.
Excited state baryon spectroscopy from lattice QCD

Here, we present a calculation of the Nucleon and Delta excited state spectrum on dynamical anisotropic clover lattices. A method for operator construction is introduced that allows for the reliable identification of the continuum spins of baryon states, overcoming the reduced symmetry of the cubic lattice. Using this method, we are able to determine a spectrum of single-particle states for spins up to and including J = 7/2, of both parities, the first time this has been achieved in a lattice calculation. We find a spectrum of states identifiable as admixtures of SU(6) Ⓧ O(3) representations and a counting of levels that is consistent with the non-relativistic $qqq$ constituent quark model. This dense spectrum is incompatible with quark-diquark model solutions to the "missing resonance problem" and shows no signs of parity doubling of states.
Preliminary survey of potentially harmful dinoflagellates in Nigeria's coastal waters

In many coastal states the presence and impacts of harmful dinoflagellates have been investigated and documented in the literature. Scientists and government officials in many countries routinely monitor their coastal waters for harmful algae in order to prevent harvesting of contaminated seafood. But this is not the case for Nigeria, a coastal state in the Gulf of Guinea, West Africa. The present work reports findings from a first attempt to monitor potentially harmful algae in the coastal waters of Nigeria. Samples were collected from specific locations that included a coastal sea, a lagoon, estuaries and creeks along Nigeria's coastline in November 1999 and April 2001. Potentially harmful dinoflagellates recorded during these periods included 3 Ceratium species, 5 Dinophysis species, 3 Gonyaulax species, 1 Gymnodinium sp, 1 Lingulodinium species, 4 Prorocentrum species and 1 Scrippsiella species. The potential ecological and human health risks associated with similar species in the literature are highlighted.
Treatment Interactions with Non-Experimental Data in Stata

Treatment effects may vary with the observed characteristics of the treated, often with important implications. In the context of experimental data, a growing literature deals with the problem of specifying treatment interaction terms that most effectively capture this variation. Some of the results of this literature are now implemented in Stata. With non-experimental (observational) data, and in particular when selection into treatment depends on unmeasured factors, treatment effects can be estimated using Stata's treatreg command. Although not originally designed for this purpose, treatreg can be used to consistently estimate treatment interactions parameters. In the presence of interactions, however, adjustments are required to generate predicted values and estimate the Average Treatment Effect (ATE). This paper introduces commands that perform this adjustment for the case of multiplicative interactions and shows the adjustment that is required for more complicated interactions.
Implementation of High Step-Up DC-DC Converter With Fuzzy Logic Controller based Solar PowerOptimizer

Solar Power Optimizer for DC Distribution System is composed of a high step-up solar power optimizer(SPO), efficiently harvests maximum energy from a photovoltaic (PV) panel outputs energy to a dc-micro grid. Its structure integrates coupled inductor and switched capacitor technologies to realize high step-up voltage gain. The leakage inductance energy of the coupled inductor can be recycled to reduce voltage stress and power losses. A low voltage rating and low-conduction resistance switch improves system efficiency by employing the incremental conductance method for the maximum power point tracking (MPPT) algorithm. Because of its high tracking accuracy, the method is widely used in the energy harvesting of PV systems. The power reduction caused by the shadow effect on PV panels is an inevitable problem in a centralized PV system.This paper proposes an artificial intelligence-based fuzzy logiccontrol scheme for the MPP tracking of a solar photovoltaic system under variable temperature and insolation conditions. The method uses a fuzzy logic controller (FLC) applied to a dc–dc converter device. The different steps of the design of this controller are presented together with its simulation. Simulation results are compared with those obtained by the perturbation and observation controller. The results show that the FLC exhibits a muchbetter behavior.
Caryopsis Weight and Planting Depth of Blue Grama. II. Emergence in Marginal Soil Moisture

Blue grama [Boute~ouugrociris(H.B.K.) Lag. ex Steud. ] has not been able to establish itself, or to be successfully planted, from seed on abandoned croplands of the Central Plains. The objectives of this study were to test blue grama phmt material under limited moisture and develop methods for improving emergence and establishment of blue grama seedlings. Experiments were conducted in the greenhouse and at the Central Plains Experimental Range near NUM, Colorado, with 3 accessions. Under limited moisture conditions in the greenhouse, seedlings emerged better from planting depths of 2.0 and 2.5 cm than from depths of 0.5,l.O or 1.5 cm. Higher caryopsis weight was associated with a significant increase in percentage emergence at all planting depths. Accession PM-K-1483 had greatest emergence, followed by ‘Hachita’ and ‘Lovington’. Under favorable soil moisture conditions in the field (2 cm of water applied at planting dates in June and July 1981), deep planting resulted in decreased emergence. Averaged over all planting depths, percentage emergence increased nearly 2-fold with an increase in caryopsis weight from 39 to 59 mg/lOO. When soil moisture conditions were marginal (only 1 cm water added), satisfactory emergence was obtained only when highweight seeds were planted at a depth of 2 cm. Soil at a planting depth of 1 cm dried quickly and prevented emergence. Genetic improvement of caryopsis weight combined with planting at depths of about 2.0 cm should improve the emergence and establishment of blue grama seedlings.
Mediation effect of interest rates on MFIs’ financial performance

In this article, we analyze the way in which interest rates interact with financial performance in the MFI context. To that end, we use structural equation modeling, as it can measure both direct and indirect effects between variables. We found that interest rates are a significant mediator variable between financial performance and environment (corruption, the rule of law and government inefficiency), MFI size, and operating expense. The originality of this work lies in the methodology used. Although previous studies analyze the effect of interest rates on the financial performance of MFIs, our methodology captures the mediation effect of this variable. Finally, we state that interest rates play an essential role in the poverty-alleviating mission of MFIs, such that they are a significant indirect driver of financial performance.
Association Analysis between Insulin-like Growth Factor Binding Protein 3 (IGFBP3) Polymorphisms and Carcass Traits in Cattle

The insulin-like growth factor binding protein 3 (IGFBP3) has been investigated as a candidate gene for growth promoting effects in beef cattle and a modulator of IGF bioactivity. Previously, we have reported twenty two sequence variants discovered in Korean native cattle (Hanwoo). In this study, we examined the association between gene-specific polymorphisms of IGFBP3 and cold carcass weight (CW) and marbling score (MS) among Korean native cattle. Among twenty two polymorphisms, four common polymorphic sites (-854G>C, -100G>A, +421G>T and +3863C>A) were genotyped in our beef cattle (n = 437). Statistical analysis revealed that one common polymorphism in the promoter region (-854G>C) showed putative associations with MS (p = 0.03). IGFBP3 variation/haplotype information analyzed in this study will provide valuable information into strategies for the production of a commercial line of beef cattle.
High Secured Banking System Using Digital Secured Money Transfer

Digital Money Transfer application is mainly used for Secured Money Transfer. This application is developed for both Android and Windows. Through this application money can be transferred from any bank to any bank in a secured manner with the Security Features. Online Banking is a type banking where the user can access his or her banking facilities through internet in PC or in mobile phones. But with these facilities we also fall in exposing our details to some hacker who use fraudulent websites, fake emails from banks to capture user IDs and passwords to hack the user’s personal bank accounts to steal money. Most of the online banking work using users IDs, passwords and OTPs (One Time Password). But hacking these features are done easily these days. So to improve the security of online bank we introduce biometric recognition that is fingerprint recognition. KeywordSecure Internet banking, Finger print recognition, banking transaction