Miracle-dz/UniFAR-FTUs huggingface dataset:
S0021859622000387jra 528..534

Copy number variation (CNV) is a very common type of gene variation with high frequency. In recent years, CNV has been paid more attention in various fields, especially in livestock and poultry breeding, which has promoted the progress of breeding. WW domain binding protein 1-like (WBP1L) is a protein coding gene, which plays an important role in cattle populations, and its function has been extensively studied, but it is not clear whether the copy number of the gene can affect the growth and development of cattle populations. In this study, CNV of WBP1L gene was detected in 732 cattle of seven breeds (Qinchuan cattle, QC; Pinan cattle, PN; Yuengling cattle, YL; Xianan cattle, XN; Jiaxian cattle, JX; natural Guyuan cattle, NGY; Jian cattle, JA). In addition, the relationship between CNV and growth phenotype of cattle was studied. The experimental data indicate that the copy number of WBP1L was obviously correlated with heart girth of PN cattle (**P < 0.01), rump length (RL) and body weight (BW) of PN cattle (*P < 0.05), withers height (WH), RL, body length, chest depth and BW of JX cattle (*P < 0.05), WH of NGY cattle (*P < 0.05) and WH of JA cattle (*P < 0.05). It was proved that CNV of WBP1L gene could be used as molecular marker locus for genetic breeding of the above four cattle breeds.
Identification of Partially Obscured Objects in Two and Three Dimensions by Matching Noisy Characteristic Curves

In this paper we analyze the problem of matching partially obscured, noise-corrupted images of composite scenes in two and three dimensions. We describe efficient methods for smoothing the noisy data and for matching portions of the observed object boundaries (or of characteristic curves lying on bounding surfaces of 3-D objects) to prestored models. We also report initial experiments showing the efficacy of this procedure.
Highly Relativistic Nucleus-Nucleus Collisions: The Central Rapidity Region

The space-time evolution of the hadronic matter produced in the central rapidity region in extreme relativistic nucleus-nucleus collisions is described. We find, in agreement with previous studies, that quark-gluon plasma is produced at a temperature &200— 300 MeV, and that it should survive over a time scale & 5 fm/c. Our description relies on the existence of a flat central plateau and on the applicability of hydrodynamics.
Magnetic fields in the early Universe

Abstract There is increasing evidence that intense magnetic fields exist at large redshifts. They could arise after galaxy formation or in very early processes, such as inflation or cosmological phase transitions, or both. Early co-moving magnetic strengths in the range 1-10 nG could be present at recombination. The possibilities to detect them in future CMB experiments are discussed, mainly considering their impact in the anisotropy spectra as a result of Faraday rotation and Alfven waves. Magnetic fields this magnitude could also have a non-negligible influence in determining the filamentary large scale structure of the Universe.
Generalized linear models for mapping land cover using satellite measurement and digital terrain data

This paper explores an approach for predicting land cover types of central Montana, USA based on satellite measurement and digital terrain data. We assume a non-linear inherent relationship existing between land cover types and Landsat TM reflectance and terrain variables. To measure this relationship we use Generalize Linear Models (GLMs), which are mathematical extensions of ordinary least-square regression models. Specifically, stepwise logistic regression technique is applied to optimize the predictive model. For the analysis of the significance of dropping or adding terms, the Akaike information criterion (AIC) is used. Likelihood Ratio Test (LRT) is applied to test the validity of explanative potential of predictor variables. We use cross-validation method to evaluate the predicative accuracy of land cover mapping using GLMs. Finally we table the relative risk ratios of GLMs. Since relative risk ratios explicitly represent the explanative efficiency of predictor variables, their ranking can pick up the variables with significant explanatory potential in discriminating land cover types, which will be significative for simplifying the predictive models. It is anticipated that GLMs will be valuable extension to semi-automatic classification of remotely sensed imagery, and an effective tool for land cover mapping.
Haedr, Adel R. and Mehafdi, Messaoud Accounting for Management Control in Large Libyan Companies Original Citation Haedr, Adel R. and Mehafdi, Messaoud (2017) Accounting for Management Control in Large

The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or not-for-profit purposes without prior permission or charge, provided:
Retronucal cystic hygroma as a marker of chromosomal abnormalities in the first trimester of gestation - Update Higroma quístico retronucal como marcador

Objective: To evaluate the association of retronucal cystic hygroma (RCH) and fetal chromosomal abnormalities. Methods: Retrospective observational study of 323 first trimester fetuses at risk for chromosomal abnormalities diagnosed by ultrasound between 11 and 13.6 weeks. Results: Of 323 fetuses at risk for chromosomal abnormalities, 132 cases of chromosomal abnormalities were found (40.9%). A total of 145 cases of RCH were identified; chorionic villus biopsy was performed in 64 (56.6%) and amniocentesis in 81 (43.5%); an abnormal karyotype was found in 82 (56.6%). Of 88 fetuses with isolated RCH, 33 (37.5%) had some chromosomal abnormality. In 58 fetuses with RCH associated with other abnormal findings, chromosomal abnormalities were found in 43 fetuses (74.1%) and of these 24 (41.4%) had abnormal ductus venosus flow wave (DVF), 17 (29.3%) had generalized edema, 8 cases (13.8%) with cardiopathy, 7 (12,1%) with absent nasal bone. The predictive values of RCH were sensitivity (S) 62.1%, specificity (Sp) 67%, positive predictive value (PPV) 56.6%, negative predictive value (NPV) 71.9%, p <0.001, OR: 3.3. RCH associated with other abnormal findings were S 52.4%, Sp 76.2%, PPV 76.2%, OR: 3.5, LR+: 2.2, p <0.000. Generalized edema and abnormal ductus venosus had the highest predictive values: PPV 88.2% and 83.3%, respectively. The most frequently found chromosomal abnormalities were T21 (53.7%), monosomy X (18.3%), T18 (15.9%), T13 (6.1%). Conclusions: Retronucal cystic hygroma is a risk marker with high predictive value for chromosomal abnormalities, being higher when associated with other abnormal ultrasound findings. Ultrasonographic identification of RCH in first trimester prenatal screening should be an indication to recommend diagnostic testing for chromosomal abnormalities.
A Line-drawing Extraction Method for Traditional Ornament based on 3D Models

As the entity of the cultural heritage, Chinese ancient architectures contain a large number of the traditional patterns and ornaments. In this paper, we propose an extraction method for traditional ornaments by calculating the line-drawing from 3D models of brick carvings to generate graphical pattern elements automatically. Based on the geometric attributes calculated from 3D meshes, we estimate types of feature contours that form an entire line-drawing from arbitrary views. The rendering results can be utilized in the design practice which can greatly improve the efficiency and stability of traditional ornament extraction works.
Analysis of second-order gratings

The results of an analysis of second-order gratings used as distributed Bragg reflectors in surface-emitting lasers are presented. The gratings provide reflection, output coupling, and power transmission to other gain segments for purposes of injection locking. The analysis determines these quantities for arbitrary-shaped grating teeth and includes the presence of a substrate reflector to reduce the radiated power in that direction. The reflector is shown to be effective, but only if it can be precisely positioned. Examples illustrating variations in dimensions, tooth shapes and heights, waveguide loss, and detuning are included. Second-order, square gratings, whose conventional coupling coefficient is identically zero, exhibit substantial reflectivity which is primarily produced by the radiation reaction. The analysis also forms the basis for calculating the far-field grating coupled radiation patterns. >
TRIPORA: Intelligent Machine Learning Solution for Sri Lanka Touring Access and Updates

Sri Lanka is one of the top tourist destinations in the world. However, tourists face various inconveniences due to the obsolescence of facilities. There are various tools designed to solve such problems. But they are scattered in different places and users have to use different tools. The biggest issue in the tourist sector is that travelers are unable to get the most out of their tours since there may be days when a large number of people visit the same location, causing the location to become overcrowded, and preventing tourists from enjoying their visit as anticipated. There are seasons when natural disasters occur, as well as human-centered crises. Also, there are situations when travelers feel helpless because they are unable to find the best tour guide for them. We developed a cost-effective, automatic, and efficient Machine Learning-based recommendation system as a result of this research. Based on past data on tourists and data received from the SLTDA, this research can provide the best trip plan with the tour guide and provide destination news alerts on regular basis. Furthermore, in order to achieve the best accuracy through the system, unique machine learning approaches were used in this study.
Maximizing Techno-Economic Benefits Using Combined Approach of CVR, DG and D-STATCOM Placement

The combined approach of conservation voltage reduction (CVR), distribution static compensator (D-STATCOM) and distributed generation (DG) is applied. The reduction of yearly economic loss is discussed in this article in order to maximize the techno-economical benefits. On the IEEE-69 radial bus system, four different cases have been studied using exponential loads, namely no control, CVR with DG, CVR with D-STATCOM, and CVR with DG and D-STATCOM. The optimal position and size for DG and D-STATCOM are chosen through the Rao-1 optimization. Simulation result shows that combined approach of CVR, D-STATCOM and DG has a larger impact on power consumption decrease of 3.97% and active power losses of 88% with maximum economic saving of $62610 compared to the other cases.
Universal generation of an initial mesh for adaptive 3-D finite element method

A concept is presented which leads to a coarse tetrahedral starting mesh for an adaptive finite element method. The mesh generation is accomplished with little computational effort, using a two-step algorithm for surface and volume decomposition. The method is able to discretize common 3-D geometric regions described by a surface model. Since the 3-D discretization is based on the surface mesh of triangles, the method can easily be applied on a wide variety of geometries. >
Static Modeling and Behavior Analysis of Soft Pneumatic Bending Grippers

Soft robots, due to their flexible characteristics, have the required potential to communicate and interact with soft, sensitive and living tissues. Therefore, static modeling and behavior analysis of these actuators in a gripper form are studied in this paper. For this purpose, the large deflection theory of curved beams is utilized and the effect of external forces caused by external objects is taken into account. Finally, the shape of the actuator and grasping results are validated by finite element analysis.
Analysis of the Relationship between Mothers’ Educational Anxiety and Children’s Resilience in Primary Schools based on Bootstrap Approach

The purpose of this study is to explore the relationship between mothers’ educational anxiety and children’s resilience in primary school, thereby investigating the mediating effects of parenting style. In this study, 494 primary school students in grades 4-6 as well as their mothers were surveyed with The Resilience Scale for Chinese Adolescents, Questionnaire on Mothers’ Educational Anxiety of Primary School Students and Questionnaire on Parenting Style. The collected data were then analyzed and processed with SPSS23.0, PROCESS macro for SPSS23.0, t-test, variance analysis, regression analysis, and Bootstrap-based mediation model. The results showed that mothers’ educational anxiety was negatively correlated with children’s resilience. Positive parenting style has a significant positive correlation with children’s resilience while negative parenting style has a significant negative correlation with it. Mothers’ educational anxiety was negatively correlated with positive parenting style and positively correlated with negative parenting style. The results also indicated that parenting style partially mediated the relationship between mothers’ educational anxiety and children’s resilience in primary schools.
Lithium in NGC 752

Echelle spectra recorded at the Li I 6707 A line are reported for 19 main sequence members of NGC 752, an open cluster about 2.5 times older than the Hyades. A sharp decline of the lithium abundance toward cooler temperatures is found which is more pronounced than in the Hyades, as expected. The initial cluster lithium abundance is estimated at roughly 1 x 10 to the -9th. No significant increase of the lithium fraction in the gas of the Galactic disk apparently has occurred in at least the last 1.7 Gyr. Four stars in a very narrow temperature range centered near 6600 K show a deficiency of atmospheric lithium which ranges up to a factor of more than 30 compared to slightly hotter or cooler stars. 27 references.
Knee Brace control for Reduction of Medial Compartment Load

Medial unloader braces are often developed to achieve pain elimination of the knee medial compartment. However, traditional braces cause medial unloading along with lateral overloading. Neglecting this phenomenon, unwarranted rotation from adduction to abduction oblige the knee to confront the overloading of the lateral compartment, and subsequently, the risk of damage is dictated to the lateral compartment exceedingly. In order to prevent this phenomenon, the new embedded mechanism is designed for unloader braces based on a novel computational procedure for the first time. We use the procedure that calculates the cartilage penetration depth and knee abduction-adduction angle simultaneously which are the surrogate parameter for determining pain in knee osteoarthritis. Therefore, the new unloader brace corrects the abduction angle via the embedded mechanism and applies unloader force along with attention to the contact point and cartilage penetration depth. Hence, 1.4° change in femur rotation from adduction to abduction in the frontal plane reduces the medial contact force to 752 N leading 853 N lateral compartment overloading for knee osteoarthritis with 0.5 mm cartilage thickness. Moreover, we calculate the required torque for tracking desired adduction angle. Finally, the result shows that our design is requisite to prevent excessive overloading of the lateral compartment while it unloads the medial compartment sufficiently.
MiniKokkos: A Calculus of Portable Parallelism

Kokkos is a C++ library and ecosystem for writing parallel programs on heterogeneous systems. One of the primary goals of Kokkos is portability: programs in Kokkos are expressed through general parallel constructs which can enable the same code to compile and execute on different parallel architectures. However, there is no known formal model of Kokkos's semantics, which must be generic enough to support current and future CPU and accelerator architectures. As a first step of formalizing Kokkos, We introduce MiniKokkos: a small language capturing the main features of Kokkos, and then prove that MiniKokkos ensures portability across all possible parallel executions. We also provide a case study of how MiniKokkos can help reason about Kokkos programs and help find a bug in the Kokkos implementation.
Performance Analysis of Kalman Filter as an Equalizer in a non-Gaussian environment

This paper analyzed the MSE and BER performances of communication systems which used Kalman Filtering as a channel equalizer in non-Gaussian noise environment. In telecommunication systems, fading and additive noise are two critical factors that significantly impacts on the system performance. Most of existing receiver have been designed to well-handle the AWGN noise, thus, such systems may suffer several performance losses when other noise types as impulsive noises present. The proposed algorithm applies the Kalman filter-based equalizer to overcome the impact of non-Gaussian noise. Multiple non-Gaussian noise models have been developed, among them, Middleton’s Class A noise is chosen in the scope of this paper. A Rayleigh flat-fading channel is simulated using autoregressive model approach which makes Kalman filtering being usable. The BER and MSE performances of Kalman equalizer under subjected non-Gaussian noise is analyzed for various SNR and parameters scenarios. Simulation results show that the performance of Kalman equalizer is impacted by the overlapped index and the ratio of Gaussian noise power over Impulsive noise power under class A noise. In the high SNR region, BER performance is significantly impacted by impulsive component and in the low SNR region, the performance is mainly impacted by Gaussian component.
The use of simple FIR filters for filtering of ECG signals and a new method for post-filter signal reconstruction

Discusses new methods for ECG filtering and a novel approach to post-filter reconstruction. Oversampling (5 kHz sampling rate), which allows good results to be obtained, is used. Simple IT-shaped (time-domain) FIR filters were employed. A novel method for post-filter signal reconstruction was developed. Samples of real and artificial ECG signals enhanced with artificial noise (white and/or network noise, 10% in amplitude) were tested. For each filtering, there followed a matching reconstruction, and the outcome was compared to the original signal. The results achieved are: (a) the errors were less than 0.6%; (b) the peak-nature of the ECG signals-the reconstructed peaks were very close to the original ones; (c) the amplitude-after reconstruction the outcoming amplitudes were very close to the originals. <<ETX>>
Robust Static Output Feedback Sliding Mode Control Design Via an Artificial Stabilizing Delay

It is well known that for uncertain linear systems, a static output feedback sliding mode controller can only be determined if a particular triple associated with the reduced order dynamics in the sliding mode is stabilizable. This paper shows that the static output feedback sliding mode control design problem can be solved for a broader class of systems if a known delay term is deliberately introduced into the switching function. Effectively the reduced order sliding mode dynamics are stabilized by the introduction of this artificial delay.
Designing Controller for the 2-DoF Cable-Driven Serial Robot with Variable Configuration based on Adaptive Neuro-Fuzzy Systems

This paper addresses the problem of actuation and design of a controller for a 2-DoF Cable-Driven Serial Chain (CDSC) with variable configuration based on adaptive neuro-fuzzy systems. The mentioned structure uses several light cables to actuate rigid links of a passive planar serial robot, performing a 2-DoF motion pattern, which can apply tensile forces for moving the links and thus produce the necessary torque to track the desired reference model by the robot’s end-effector. Additionally, cable attachment point coordinates of the CDSC are considered variable configurations. So, a novel concept is expressed in the calculation of the CDSC’s Jacobian matrix. In this mechanism, upon formulating the sliding mode error dynamics, an Adaptive Neural Network (ANN) is used to cope with complex mathematical calculations of the CDSC dynamics. Then, the coordinates of cables are considered as variables that depend on the main states of the plant. These co-states are adaptively determined by applying an appropriate fuzzy system. As a result, an Adaptive Neuro-Fuzzy Controller (ANFC) algorithm is introduced for the mentioned redundant mechanism. Finally, by defining a new Cost of Redundancy (CoR), an optimal configuration of the cables is found, so the maximum Degrees of Redundancy (DoR) is obtained. The simulation results indicate that using the ANFC algorithm leads to a reduction of 2.23% in the CoR for the 2-DoF CDSC.
Dual Polarized Swastika Patterned Slot Antenna for 5G Base Transceiver Station Applications

Dual polarized, low XPD (X-Polar), and high isolation, innovative design for sub-6 GHz 5G Base Transceiver Station (BTS) applications are offered in this article. Two modified dipole antenna elements are placed in ± 45° and dual-polarization is achieved with a swastika patterned slot on the two arc-type arms of the altered dipoles and a rectangular slot on the substrate which reduces dielectric loss and conductor losses thereby a very good improvement in the isolation and improved radiation efficiency. Highly radiation pattern is obtained by placing the dipole antenna elements λ0/4 above the reflector. The MIMO antenna is designed to operate more efficiently in Band 42 (3.4-3.6 GHz) with VSWR < 1.5. Isolation of 30 dB is achieved at the 3.5 GHz band and the gain of 8.14 dBi is observed.
Compact Dual Polarized Inverted Omega Shape Loaded 4G and 5G Antenna for BTS Applications

A dual-band and dual slant ± 450 polarized omega shape loaded MIMO antenna element, operating for 4G LTE-A (2.3-2.4 GHz) and 5G (3.4-3.6 GHz) applications are presented. Dual-band is realized by introducing a ‘Ʊ' shape loaded with the planar printed dipole antenna element. The omega dimensions are optimized to operate the antenna in dual-band 4G and 5G. Dual slant ± 450 polarization is achieved by utilizing two such modified dipole antennas in orthogonal orientation. The unidirectional radiation pattern for 4G and 5G simultaneous operation is achieved by concatenating the electric conductor as a ground plane. The antenna is backed by a metallic ground plane at λ0/4 for 4G and 5G operations. The antenna exhibits a measured beam width of 720 and 890 with a gain of 7.32 dB and 8.12 dB for a VSWR 1.5 and 2.0 in 4G and 5G frequency bands respectively.
Metamaterial Inspired Antenna for Biomedical Applications

This work suggests a novel, miniaturized, metamaterial inspired antenna for biomedical applications. The proposed antenna operates in the range of 2.8GHz to 4.5GHz. Size reduction and gain improvement is achieved in the proposed design is possible due to the use of metamaterial. The size of the proposed prototype is 36×29×2 mm3 with polyamide acting as a substrate having 4.3 as permittivity value and dielectric loss tangent of 0.004. Repeating arrangement of unit cells is made on metamaterial based polyamide substrate by inserting the repeating arrangement of unit cells. Each unit cell comprises of two C-type patterned patch surrounded by a two U shaped patches. These patterns comprise CSRR (Complimentary Split Ring Resonators). Rectangular slots are made on ground plane for bandwidth enhancement. The suggested antenna provides a maximum return loss of 18 dB at a frequency of 3GHz and a gain of 3.024 dBi is achieved. The proposed antenna is designed using HFSS v 15 software suite.