Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of lactation persistency with genetic variants of bovine growth hormone gene in Indian Sahiwal cows

The aim of this study was to determine the associations of persistency with genetic variants of bovine growth hormone (bGH) gene in Indian Sahiwal cows. The data pertaining to the monthly test day milk yield (MTDMY) and first lactation length (FLL) of 305 lactating Sahiwal cows over a period of 23 years (1993–2016) were subjected to analysis. Persistency of milk yield was estimated by using test day based ratio method and Wilmink b function. Mean LL was 220.06±8.15 days in all studied Sahiwal cows, however, 276.67±10.25 days in cows with ≥100 days of LL and having 500 kg MY. The peak of milk yields was achieved at third TD of the first lactation. Macrophage stimulating protein 1 (MspI) and Arthrobacter luteus1 (AluI) restriction endonucleases were used to digest the amplified regions in intron 3 and exon 5, respectively of bGHgene. The bGHMspI restriction fragment length polymorphism (RFLP) yielded TT, CT and CC genotypes, whereas bGH-AluIRFLP yielded CC, CG and GG genotypes. Significant association was found between first lactation persistency estimated using test day based ratio method and bGH-MspI polymorphism. No significant association was found between first lactation persistency and bGH-AluI polymorphism. In summary, results of present study revealed that the TT genotype of bGH–MspI gene in Sahiwal cows has better lactation persistency than other genotypes.
Penerapan Algoritma Dijkstra Pada Aplikasi Pencarian Fasilitas Pelayanan Kesehatan Terdekat Kota Depok

Kesehatan menjadi Salah satu faktor utama dalam masyarakat, dimana jarak yang dekat adalah menjadi pilihan utama masyarakat untuk memeriksakan kesehatannya. Dalam penelitian ini akan mencari rute terpendek dari lokasi user ke fasilitas pelayanan kesehatan tujuan, dimana user akan dapat menghemat waktu dan juga biaya transportasi serta mengurangi antrian. Penggunaan Algoritma Dijkstra pada Aplikasi Pencarian Tempat Fasilitas Pelayanan dipilih untuk diterapkan kedalam aplikasi berbasis android untuk menyelesaikan masalah secara langkah demi langkah dalam pencarian rute, jarak dan fasilitas pelayanan kesehatan terdekat. Pendekatan yang digunakan di dalam algoritma Dijkstra membuat pilihan yang terlihat memberikan perolehan terbaik.
Bayesian Inference Based on Robust Priors and MML Estimators: Part I, Symmetric Location-Scale Distributions

Motivated by the attractive features of robust priors and the MML estimators, we develop Bayesian estimators for the location parameter of a family which represents a very wide class of symmetric location-scale distributions ranging from Cauchy to normal distributions. We show that the new estimators are clearly superior to those obtained earlier by other authors. The proposed method can also be extended to asymmetric location-scale distributions. That will form Part II of this work.
Design of optimal length preview controller

Purpose – This paper aims to determine the optimal preview length for the preview state feedback controller and to design the static preview gains for the controller. Design/methodology/approach – The design methodology is based on LMI formulations and Bisection Approach to determine the optimal preview length for the preview state feedback controller that achieves robust H∞ performance. The determination of the optimal preview length is such that the performance of the optimized controller is similar (within bounds) to the maximum length controller, in terms of transient and frequency response along with the H∞ performance. Findings – The proposed algorithm is implemented for two benchmark design examples that verify its ability and applicability. The results show that the optimal preview length controller designed using the proposed method performs similar to the maximum length preview controller (within bounds) and better than reported in literature. Originality/value – The paper discusses the novel al.
A comparative study of thermal stress induced dislocation generation in pulled GaAs, InP, and Si crystals

We have extended the recently developed quasisteady‐state heat transfer/thermal stress model for glide dislocation generation in Czochralski pulled GaAs to InP and Si. The calculated results are displayed by means of (a) dislocation density contour lines for {100} wafers and (b) a novel ambient temperature (Ta) stability diagram. The latter representation explicitly shows the progressive elimination of dislocation‐free regions with decreasing Ta in GaAs, InP, and Si. It is predicted that unless the diameter is unusually small (∼1 cm), glide dislocations appear at the periphery of both GaAs and InP grown by LEC at a Ta which is only ∼10 °K below their respective melting points. With decreasing Ta the dislocations rapidly spread throughout the interior. In contrast, an 8‐cm‐diam Si crystal is dislocation‐free even at a Ta about 40 °K below the melting point. At this critical Ta glide dislocations which are confined to the circumference begin to generate. Thus, in accord with current crystal growth experienc.
Enhancement of Dopant Activation in B-Implanted Diamond by High-Temperature Annealing

In this paper, we present the effect of postimplantation high-temperature annealing at 1600 °C on electrical properties and lattice structures of B-implanted diamonds. B multiple ion implantation at 30–360 keV was performed to make a B box-profile of 5 ×1018 or 5 ×1019 cm-3 into high-pressure, high-temperature type IIa diamond substrates at 400 °C, followed by 1450 °C and higher temperature annealing at 1600 °C. Optical transmission spectra indicated that radiation damage was almost eliminated with an increase in annealing temperatures to 1600 °C in both samples. In the sample of 5 ×1018 cm-3, the hole concentration and the Hall mobility were 2 ×1013 cm-3 and 55 cm2 V-1 s-1 after 1450 °C annealing, respectively. By contrast, after 1600 °C annealing, their values increased to 6.5 ×1013 cm-3 and 82 cm2 V-1 s-1, respectively. The doping efficiency of the sample after 1600 °C annealing is ∼50%, which is the highest ever reported for B-implanted diamond. In the sample of 5 ×1019 cm-3, the band conduction of carriers was observed after 1450 °C annealing, while high-temperature annealing at 1600 °C resulted in the appearance of hopping conduction in the low-temperature region below 400 K. In cathodoluminescence spectra of the samples annealed at 1600 °C, the peak intensities around 780 nm, originating from radiation defects frequently observed in ion implanted diamond, decreased, while a broad band centering around 560 nm appeared. The results of this study suggest that high-temperature annealing over 1450 °C is effective for elimination of radiation damage and an increase in the acceptor concentration.
Interferometric Method For Optical Testing And Wavefront Error Sensing

A new interferometric method for optical testing has been developed. The test arrangement is similar to that of the Hartmann method using a screen with a rectangular grid of holes. The detection takes place close to the focus where the Hartmann images are partly overlapping and interfering. The positions of the interference maxima contain information on the wavefront errors of the optical system. As the size of the interference maxima is considerably smaller than the size of the Hartmann images obtained with the same screen, the accuracy of the position measurements is respectively better. Also much smaller hole spacing can be used. An application of the method could be wavefront error sensing in active optical systems. A CCD camera could ideally be used as detector for the measurement of the wavefront errors and for generating the error signals to the active optical system.
Square integrable representations, coherent states, wavelets

We begin by quickly reviewing the basic notions of group representations, with some emphasis on unitary irreducible representations of compact groups. Then we turn to square integrable representations, the most natural generalizations of the latter. These representations are the mathematical background of the classical theory of coherent states (CS). In the next section, we examine in detail the most popular examples of this construction: (i) The continuous wavelet transform in one and two dimensions (corresponding, respectively, to the ax + b group of the line and the similitude group of the plane); and (ii) The Short-Time Fourier or Gabor transform (corresponding to the Weyl-Heisenberg group), leading to the familiar canonical coherent states. Finally, we decribe a number of recent generalizations of the classical theory, among them the so-called covariant coherent states.
Silicon quantum dot coated microspheres for microfluidic refractive index sensing

The electromagnetic resonances of optical microspheres—the so-called whispering gallery modes (WGMs)—can be used for refractometric sensing of surrounding fluids. Microspheres are attractive because they offer high sensitivity and can be utilized with fluorescent dyes or quantum dots. One issue with microspheres, however, is that they are difficult to integrate into microfluidic systems. Here, we develop a microfluidic structure that permits sensing applications using a single microsphere in a capillary. To achieve this, a microsphere formed on the end of a tapered fiber was first coated with fluorescent silicon quantum dots (QDs). The sphere was then inserted into a microcapillary and the fluorescence WGMs were monitored as different fluids were pumped through the channel. The sensitivity and detection limits for this sphere-in-a-capillary device were measured for several different QD film thicknesses and for two different microsphere sizes. Because of the relatively high-visibility mode structure, the sensitivity and detection limit can be defined by Fourier analysis of the free spectral range and WGM spectral shifts.
Association between LAG3/CD4 Genes Variants and Risk for Multiple Sclerosis

Several recent works have raised the possibility of the contribution of the lymphocyte activation gene 3 (LAG3) protein in the inflammatory processes of multiple sclerosis (MS). Results of studies on the possible association between LAG3 gene variants and the risk of MS have been inconclusive. In this study, we tried to show the possible association between the most common single nucleotide variants (SNVs) in the CD4 and LAG3 genes (these two genes are closely related) and the risk of MS in the Caucasian Spanish population. We studied the genotypes and allelic variants CD4 rs1922452, CD4 rs951818, and LAG3 rs870849 in 300 patients diagnosed with MS and 400 healthy patients using specific TaqMan-based qPCR assays. We analyzed the possible influence of the genotype frequency on age at the onset of MS, the severity of MS, clinical evolutive subtypes of MS, and the HLADRB1*1501 genotype. The frequencies of the CD4 rs1922452, CD4 rs951818, and LAG3 rs870849 genotypes and allelic variants were not associated with the risk of MS and were unrelated to gender, age at onset and severity of MS, the clinical subtype of MS, and HLADRB1*1501 genotype. The results of the current study showed a lack of association between the CD4 rs1922452, CD4 rs951818, and LAG3 rs870849 SNVs and the risk of developing MS in the Caucasian Spanish population.
Modeling and Removing Doppler Division Multiplexing Spurs in Automotive MIMO Radar

Doppler division multiplexing (DDM) is a popular slow-time modulation technique for automotive multiple-input and multiple-output (MIMO) radars. It requires accurate transmit phase shifters to avoid artifacts such as spurs that would degrade the radar system’s performance. This article proposes a system impact analysis of the constellation imbalance of the phase shifter. The spurs formation is modeled in a second part to understand the information they convey on the constellation imbalance. Subsequently, this information is exploited as a base for a novel constellation imbalance estimation algorithm. The estimation is finally utilized to predistort the phase shifter. The DDM spur model and the constellation imbalance estimation method are evaluated on a recorded automotive radar dataset. The results show that the imbalance in the phase shifter constellation can be reduced such that all spurs are suppressed below the noise floor. With the presented method, the DDM MIMO radar system can autonomously evaluate when recalibration is needed and perform self-calibration on the road to maintain the system’s performance throughout its life cycle.
Recent progress of two-dimensional heterostructures for thermoelectric applications

The rapid development of synthesis and fabrication techniques has opened up a research upsurge in two-dimensional (2D) material heterostructures, which have received extensive attention due to their superior physical and chemical properties. Currently, thermoelectric energy conversion is an effective means to deal with the energy crisis and increasingly serious environmental pollution. Therefore, an in-depth understanding of thermoelectric transport properties in 2D heterostructures is crucial for the development of micro-nano energy devices. In this review, the recent progress of 2D heterostructures for thermoelectric applications is summarized in detail. Firstly, we systematically introduce diverse theoretical simulations and experimental measurements of the thermoelectric properties of 2D heterostructures. Then, the thermoelectric applications and performance regulation of several common 2D materials, as well as in-plane heterostructures and van der Waals heterostructures, are also discussed. Finally, the challenges of improving the thermoelectric performance of 2D heterostructures materials are summarized, and related prospects are described.
Examining Asymmetric Volatility Dynamism of Returns in the Infrastructure Sector in India during Covid 19: - A application of GARCH Models

Due to global shut down of economic activities and transportation, the infrastructure sector has to see a halt in operations due to disruptions in supply chain, impacting international investors as they became cautious of their investment position. The study is aimed at modelling the volatility of the returns in the infrastructure sector in India using S&P BSE Infrastructure Index during Covid-19 by applying univariate stipulations of the GARCH family of models such as GARCH (1,1), EGARCH (1,1), MGARCH (1,1). The study found the presence of asymmetric effects indicating that the arrival of Covid 19 news created more turmoil in the market. Also, significant relationship has been observed between the magnitude of variance and returns, meaning thereby the global investors, while making portfolio decisions, should emphasize that high risk implies high returns holds true for Infrastructure sector in India. The study suggests that the investors, while estimating value at risk, should consider that the infrastructure returns depict higher persistence level and the past volatility of the returns in the infrastructure sector has a significant impact on current volatility in case of BRICS economies.
Estimating attributable response as a function of a continuous risk factor

The problem of estimating the number of binary responses that can be attributed to high levels of a continuous covariate is studied. The distribution of the covariate in the population is combined with the relative odds of response to produce a function, areas under which represent numbers of responses attributable to covariate values in that range. A combination of parametric and nonparametric smoothing is proposed. Consistent estimates of variance are developed as well as confidence bands for the attributable response function based on the bootstrap. The methods are illustrated on data relating fatal motor accident involvement to alcohol impairment of the driver.
GLOBAL WEAK SOLUTIONS OF AN INITIAL BOUNDARY VALUE PROBLEM FOR SCREW PINCHES IN PLASMA PHYSICS

This paper is concerned with an initial-boundary value problem for screw pinches arisen from plasma physics. We prove the global existence of weak solutions to this physically very important problem. The main difficulties in the proof lie in the presence of 1/x-singularity in the equations at the origin and the additional nonlinear terms induced by the magnetic field. Solutions will be obtained as the limit of the approximate solutions in annular regions between two cylinders. Under certain growth assumption on the heat conductivity, we first derive a number of regularities of the approximate physical quantities in the fluid region, as well as a lot of uniform integrability in the entire spacetime domain. By virtue of these estimates we then argue in a similar manner as that in Ref. 20 to take the limit and show that the limiting functions are indeed a weak solution which satisfies the mass, momentum and magnetic field equations in the entire spacetime domain in the sense of distributions, but satisfies t.
Prediction of Heart Disease Using Machine Learning Algorithms

Heart disease has become one of the alarming issues of death. It is accountable for fatty plaques in the arteries. If this fatal condition can be identified early, we can preserve many people’s arteries. Different types of supervised machine learning algorithms are applied in our research paper in order to predict heart disease existence in patient body. Besides this, we have focused on an efficient way to improve the performance of our applied classifiers. Imputing mean value technique is applied to handle null values present in our dataset. The features which are unnecessary are removed by using the info-gain feature selection technique. In order to calculate prediction accuracy, K-Nearest Neighbors (KNN), Naive Bayes and Random Forest are applied to the heart disease dataset. Accuracy, precision, recall, F1-score, and ROC are calculated which help us to compare the performance of the classification models. Handling null values on a particular column by imputing mean values of that column and our applied info-gain feature selection technique has aided us in improving the accuracy of our prediction models. Random Forest among all has given the best classification accuracy which is 95.63% with precision, recall, F1-score and ROC are 0.93, 0.92, 0.92 and 0.9, respectively.
Local Glucocorticoid Administration Impairs Embryonic Wound Healing

Understanding the complex processes of fetal wound healing and skin regeneration can help to improve fetal surgery. As part of the integumentary system, the skin protects the newborn organism against environmental factors and serves various functions. Glucocorticoids can enter the fetal circulatory system by either elevated maternal stress perception or through therapeutic administration and are known to affect adult skin composition and wound regeneration. In the present study, we aimed at investigating the effects of local glucocorticoid administration on the process of embryonic wound healing. We performed in-ovo bead implantation of dexamethasone beads into skin incisional wounds of avian embryos and observed the local effects of the glucocorticoid on the process of skin regeneration through histology, immunohistochemistry and in-situ hybridization, using vimentin, fibronectin, E-cadherin, Dermo-1 and phospho-Histone H3 as investigational markers. Local glucocorticoid administration decelerated the healing of the skin incisional wounds by impairing mesenchymal contraction and re-epithelialization resulting in morphological changes, such as increased epithelialization and disorganized matrix formation. The results contribute to a better understanding of scarless embryonic wound healing and how glucocorticoids might interfere with the underlying molecular processes, possibly indicating that glucocorticoid therapies in prenatal clinical practice should be carefully evaluated.
Colors and magnitudes predicted for high redshift galaxies

Ultraviolet observations of nearby galaxies with the ANS are used to derive ultraviolet spectra for different galaxy types. These spectra are used with existing visible spectrophotometry to calculate K-corrections, and to predict colors and magnitudes for various galaxy types as a function of redshifts, to z = 2. No evolutionary effects are considered. It appears that the first-ranked cluster galaxies on blue emulsions should be spirals for z greater than or approximately equal to 0.5.
Weapon identification using hierarchical classification of acoustic signatures

We apply a unique hierarchical audio classification technique to weapon identification using gunshot analysis. The Audio Classification classifies each audio segment as one of ten weapon classes (e.g., 9mm, 22, shotgun etc.) using lowcomplexity Gaussian Mixture Models (GMM). The first level of hierarchy consists of classification into broad weapons categories such as Rifle, Hand-Gun etc. and the second consists of classification into specific weapons such as 9mm, 357 etc. Our experiments have yielded over 90% classification accuracy at the coarse (rifle-handgun) level of the classification hierarchy and over 85% accuracy at the finer level (weapon category such as 9mm).
Room temperature properties of electrical contacts to alumina composites containing silicon carbide whiskers

The electrical properties of contacts to hot-pressed alumina composites having variable volume fractions of SiC whiskers (Vw) were investigated with impedance spectroscopy and current-mode atomic force microscopy at room temperature. Three different contact materials were studied: sputtered Pt, sputtered Ag, and conductive Ag paint. Electrode properties were characterized while fresh due to instability over long times (∼100 h). For percolated samples with Vw≥0.10, the electrical response of the electrodes is manifested in the complex impedance plane by a semicircle whose properties are rooted in Schottky barrier blocking at metal contacts to surface whiskers participating in percolated linkages. This process was modeled with a parallel resistor-capacitor (RcCc) equivalent circuit having a relaxation frequency ωc. The dependences of the specific contact resistance (ρs) and specific capacitance (Cs) on Vw were in agreement with the microlevel interpretation above. The three contact materials exhibited signi.
Analysis of minimum ionising particles and soft protons using XMM-Newton EPIC pn-CCD as a particle detector

Context. Spacecrafts with imaging telescopes often carry a charge-coupled device (CCD) in their focal plane to detect electromagnetic radiation. Charged particles such as electrons, protons, and heavy ions can reach the CCD and deposit their energy in the detector material. To counteract this undesirable effect, algorithms are usually implemented to reject them. On the other hand, CCDs can also be seen as particle detectors. Aims. Even though rejection algorithms are often active to immediately discard undesired radiation, data including charged particles of ESA’s XMM-Newton and Gaia were stored over the whole mission lifetime. In this article we primarily analyse and characterise the charged particles that were detected by XMM-Newton . A comparison to data from Gaia ’s CCDs is also presented. Methods. To characterise the particle flux in the spacecraft orbits we used all publicly available observations where no rejection algorithm was used in combination with observations where the rejection algorithm was used. The particle flux is analysed over time and space of the XMM-Newton orbit. Comparisons to external data are shown as well. Results. Our analysis shows that the rate of charged particle events has a modulation of about 11 yr and that particle flux and solar activity are anti-correlated. Moreover, we also show that often more than one charged particle hits the CCD simultaneously. Conclusions. Rejection algorithms are typically used to remove charged particle detection and preserve the scientific data missions. In this article, using XMM-Newton and Gaia data, we show that by neglecting rejection algorithms, charged particles detected on CCDs can be analysed and characterised over the spacecraft orbit.