Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic parameters for production traits and somatic cell score of the SA Dairy Swiss population.

The SA Dairy Swiss population could not previously be incorporated into the National Dairy Genetic Evaluation System, owing to inadequate population numbers and data structures. However, in recent years participation in Milk Recording has improved sufficiently to allow for genetic evaluation of the population. The aim of the study was therefore to estimate genetic parameters for the SA Dairy Swiss for production traits and somatic cell score in order to estimate breeding values routinely from the National Dairy Genetic Evaluation System. After editing procedures, a dataset of 25 621 test-day records for milk, butterfat and protein yields and a dataset of 10 438 test-day records for somatic cell count were obtained for further analysis. (Co)variance components for milk (kg), butterfat and protein yields (kg), as well as for somatic cell score, were estimated using a fixed regression multi-lactation animal model, based on test-day records of the first three lactations. Records from the various lactations were included as repeated measures. A multi-trait evaluation was performed for the production traits, while a single trait evaluation was done for somatic cell score, using the software package VCE4. Heritability estimates were 0.19 for milk, 0.16 for butterfat, and 0.16 for protein yields. The heritability estimate for somatic cell score was lower, at 0.07. The genetic correlations between the production traits were lowest for milk and butterfat (0.83), and were similar for milk and protein (0.94) and butterfat and protein yields (0.94). These values compare favourably with those of the other South African dairy breeds, based on the same model. The (co)variances were then implemented for estimation of breeding values for the SA Dairy Swiss population. Genetic trends were favourable for milk production traits with milk yield, butterfat and protein yields increasing by 25.13 kg/year, 0.96 kg/year and 0.79 kg/year, respectively; while the trend for somatic cell score was unfavourable, increasing by 0.86 units/year, since 1983. The SA Dairy Swiss could therefore be incorporated into the National Dairy Genetic Evaluation System of South Africa, using these covariance components and model.
Design Of Minimum Volume Emc Input Filters For An Ultra Compact Three-phase Pwm Rectifier

- A design procedure is proposed for the electromagnetic compatibility (EMC) ﬁlters to be included in a three-phase/-level PWM rectiﬁer unit in order to fulﬁll EMC requirements related to conducted emissions. An analytical volumetric optimization is performed considering constraints given by electrical safety, power factor and damping of resonances. The procedure avoids the necessity of applying numerical optimization allowing the analytical calculation of the total ﬁlter volume as function of rated power and switching frequency. The experimental veriﬁcation of the proposed procedure is presented through conducted emissions (CE) measurements in the designed system.
Electromagnetic Absorber Made by Natural Rubber

This paper proposes fabrication process of a pyramidal electromagnetic (EM) absorber made by natural rubber. The advantage of this research is to generate value-added latex from Thai rubber and to reduce number of chemical absorber by using natural rubber based absorber. The proposed absorber in the research is mainly made from latex with carbon black filler. The proposed absorber is in the form of rubber foam which provides suitable characteristics to serve as an EM absorber. The results of this research are chemical formulas for fabrication of pyramidal rubber foam with carbon black filler. The fabrication cost is very low when compared to an available commercial absorber. The electrical properties of the proposed EM absorber are measured. Also the reflectivity is measured and compared well with a commercial EM absorber. key words: electromagnetic absorber, natural rubber, latex, rubber foams, absorption
On the reproducibility and repeatability of laser absorption spectroscopy measurements for δ2H and δ18O isotopic analysis

Abstract. The aim of this study was to analyse the reproducibility of off-axis integrated cavity output spectroscopy (OA-ICOS)-derived δ2H and δ18O measurements on a set of 35 water samples by comparing the performance of four laser spectroscopes with the performance of a conventional mass spectrometer under typical laboratory conditions. All samples were analysed using three different schemes of standard/sample combinations and related data processing to assess the improvement of results compared with mass spectrometry. The repeatability of the four OA-ICOS instruments was further investigated by multiple analyses of a sample subset to evaluate the stability of δ2H and δ18O measurements. Results demonstrated an overall agreement between OA-ICOS-based and mass spectrometry-based measurements for the entire dataset. However, a certain degree of variability existed in precision and accuracy between the four instruments. There was no evident bias or systematic deviations from the mass spectrometer values, but random errors, which were apparently not related to external factors, significantly affected the final results. Our investigation revealed that analytical precision ranged ±from ±0.56‰ to ±1.80‰ for δ2H and from ±0.10‰ to ±0.27‰ for δ18O measurements, with a marked variability among the four instruments. The overall capability of laser instruments to reproduce stable results with repeated measurements of the same sample was acceptable, and there were general differences within the range of the analytical precision for each spectroscope. Hence, averaging the measurements of three identical samples led to a higher degree of accuracy and eliminated the potential for random deviations.
Predictive Modeling of Pedestrian Motion Patterns with Bayesian Nonparametrics

For safe navigation in dynamic environments, an autonomous vehicle must be able to identify and predict the future behaviors of other mobile agents. A promising data-driven approach is to learn motion patterns from previous observations using Gaussian process (GP) regression, which are then used for online prediction. GP mixture models have been subsequently proposed for finding the number of motion patterns using GP likelihood as a similarity metric. However, this paper shows that using GP likelihood as a similarity metric can lead to non-intuitive clustering configurations – such as grouping trajectories with a small planar shift with respect to each other into different clusters – and thus produce poor prediction results. In this paper we develop a novel modeling framework, Dirichlet process active region (DPAR), that addresses the deficiencies of the previous GP-based approaches. In particular, with a discretized representation of the environment, we can explicitly account for planar shifts via a max pooling step, and reduce the computational complexity of the statistical inference procedure compared with the GP-based approaches. The proposed algorithm was applied on two real pedestrian trajectory datasets collected using a 3D Velodyne Lidar, and showed 15% improvement in prediction accuracy and 4.2 times reduction in computational time compared with a GP-based algorithm.
Pseudo-Attention Tracking in 3 D Virtual Environments

We propose and demonstrate a methodology to algorithmically track regions that are believed to be visually attentive in dynamic and interactive virtual environments. The “ attention map” at each frame is constructed by considering both low level and raw visual features and the other high level knowledge about the scene. In particular, as for the raw bottom-up visual features, our algorithm incorporates dynamic 3D features such as depth, object motion, and feature alterations, in addition to the usually considered features such as color, intensity, and orientation, to make the tracking applicable to dynamic 3D virtual environments. As for the top down knowledge, user’ s motion and object familiarity are used to modulate contributions from the low level features. These measures are used to filter the scene images and generate visually salient regions from which salient objects are extracted and tracked. The salient object tracking is further stabilized using the Kalman filter. The resulting “ pseudo” attention tracking can be used effectively, without employing an expensive eye tracker, for perceptually based rendering (such as giving depth of field effects), and video compression.
Type XIII collagen: regulation of cardiovascular development and malignant transformation in transgenic mice

Type XIII collagen is a type II oriented transmembrane protein with a short intracellular domain, a single transmembrane domain and a large, mostly collagenous extracellular domain. Tissue localization and cell culture studies have implicated that it is involved in cell adhesion. The spatio-temporal expression of type XIII collagen mRNA and protein during murine development is studied here. Type XIII collagen mRNAs were expressed at a constant rate during development, with an increase of expression towards birth. The strongest expression was detected in the central and peripheral nervous systems of the developing mouse fetus. Cultured primary neurons expressed this collagen, and recombinant type XIII collagen was found to enhance neurite outgrowth. Strong expression was also detected in the heart, with localization to cell-cell contacts and perinatal accentuation in the intercalated discs. Other sites of type XIII collagen expression included cartilage, bone, skeletal muscle, lung, intestine and skin. Clear developmental shifts in expression suggest a role in endochondral ossification of bone and the branching morphogenesis in the lung. To elucidate the function of type XIII collagen transgenic mice were generated by microinjection of a cDNA construct that directs the synthesis of truncated α1(XIII) chains with an in-frame deletion of the central collagenous COL2 domain. This construct was thought to disrupt the assembly of normal type XIII collagen trimers. Expression of shortened α1(XIII) chains by fibroblasts derived from mutant mice was demonstrated, and the lack of intracellular accumulation in immunohistochemical analysis of tissues suggested that the mutant molecules were expressed on the cell surface. Transgene expression led to developmental arrest and fetal mortality in offspring from heterozygous mating with two distinct phenotypes. The early phenotype fetuses were aborted by day 10.5 of development due to a failure in the fusion of the chorion and allantois membranes and subsequent disruption in placentation, while the late phenotype fetuses were aborted by day 13.5 of development due to cardiovascular and placental defects. Furthermore, it was shown that the heterozygous mice that were initially of normal appearance and bred normally had an increased susceptibility to develop T-cell lymphomas and angiosarcomas later in life. The results presented here increase the evidence that type XIII collagen is involved in cell adhesion, with several important tasks during development. A role of type XIII collagen in malignant transformation of certain mesenchymal cell populations is also implicated.
COMPLEX NETWORK GROWING MODEL USING DOWNLINK MOTIFS

xi 1 Chapter One Introduction 1 2 Chapter Two Literature Review 4 3 Chapter Three Preliminary and advance network 7 3.1. Identifying the problem 7 3.2. Network and its adjacency matrix 7 3.3. Node indexing and organizing for both goal and substrate network . 8 3.4. Motifs and downlinks 10 3.5. Downlink List 12 3.6. Vertex sharing motif network (VMN) 17 v 4 Chapter Four Downlink Based Network Statistics 19 4.1. Downlink-downlink combination 19 4.2. Downlink Attachment 21 4.3. Patterns of downlink attachment 22 4.3.1. One shared node downlink attachment 22 4.3.1.1. Father to father 23 4.3.1.2. Father to son 23 4.3.1.3. Son to father 25 4.3.1.4. Son to son 26 4.3.2. Two shared nodes downlink attachment 27 4.3.2.1. Fatherson to father son 27 4.3.2.2. Fatherson to son-father 28 4.3.2.3. Fatherson to son-son 29 4.3.2.4. Sonson to fatherson 30 4.3.2.5. Sonson to sonson 31 4.3.3. Three shared nodes downlink attachment 32 4.3.3.1. Fathersonson to sonfatherson 32
FAKING INTENTIONS IN INTERVIEWS 3 Do attractiveness and competition influence faking intentions in in selection interviews ?

Faking models assume that characteristics of applicants as well as contextual factors determine whether applicants intend to fake. However, previous research on faking in interviews mainly investigated applicants’ characteristics while research on contextual factors is largely missing. Accordingly, we examined the influences of two such factors – attractiveness of the organization and competition among applicants – on the intention to fake in an interview. We conducted a vignette study with a 22 between-subjects design in which we varied competition and attractiveness. We found that attractiveness influenced faking intention. However, we found no effect for competition. Accordingly, interviewers should be aware that applicants are more prone to fake when they want to get access to attractive organizations.
Predicting the Popularity of Online Content with Knowledge-enhanced Neural Networks

Predicting the popularity of online items has been an important task to understand and model online popularity dynamics. Feature-based methods are one of the mainstream approaches to tackle this task. Although many efforts have been made, the solutions to three key issues still remain unclear or need improvement, i.e., what kind of general contexts can be used, how to represent the contexts in a general form, and how to effectively leverage the contexts for prediction. To address these issues, we propose to link online items with existing knowledge base (KB) entities, and leverage KB information as the context for improving popularity prediction. We represent the KB entity by a latent vector, encoding the related KB information in a compact way. We further propose a novel prediction model based on LSTM networks, adaptively incorporating KB embedding of the target entity and popularity dynamics from items with similar entity information. Extensive experiments on three real-world datasets demonstrate the effectiveness of the proposed model.
Franchise Partnership And International Expansion: A Conceptual Framework And Research Propositions

Part of the Entrepreneurial and Small Business Operations Commons, and the International Business Commons How does access to this work benefit you? Let us know! Publisher's Statement This is the accepted version of the following article: Grewal, D. , Iyer, G.R. , Javalgi, R.G. , & Radulovich, L. Franchise partnership and international expansion: A conceptual framework and research propositions. Entrepreneurship Theory and Practice, 35(3), 533-557. doi:10.1111/ j.1540-6520.2011. 00444.x, which has been published in final form at http://onlinelibrary.wiley. com/doi/10.1111/j.1540-6520.2011. 00444.x/abstract
Real-Time Monocular Depth Estimation Using Synthetic Data with Domain Adaptation via Image Style Transfer

Monocular depth estimation using learning-based approaches has become promising in recent years. However, most monocular depth estimators either need to rely on large quantities of ground truth depth data, which is extremely expensive and difficult to obtain, or predict disparity as an intermediary step using a secondary supervisory signal leading to blurring and other artefacts. Training a depth estimation model using pixel-perfect synthetic data can resolve most of these issues but introduces the problem of domain bias. This is the inability to apply a model trained on synthetic data to real-world scenarios. With advances in image style transfer and its connections with domain adaptation (Maximum Mean Discrepancy), we take advantage of style transfer and adversarial training to predict pixel perfect depth from a single real-world color image based on training over a large corpus of synthetic environment data. Experimental results indicate the efficacy of our approach compared to contemporary state-of-the-art techniques.
A Conceptual Model To Assist Educational Leaders Manage Change.

This paper presents a conceptual model to help school leaders manage change effectively. The model was developed from a literature review of theory development and model construction. Specifically, the paper identifies the major components that inhibit organizational change, and synthesizes the most salient features of these components through a model for change management. The model is based on general systems theory to explain the interrelationships among components. The major inhibitors to effective management of change include scientific management leadership, lack of manipulation of motivators, power and politics, lack of effective staff development, and bureaucratic organizational hierarchy. Of these, effective leadership is identified as the critical component to successful change management. Contingency theory, which focuses on the interaction among the leaders' personal traits, behavior, and situational factors for effective leadership, is advocated as a useful approach for managing change. Strategies that fail to consider the needs of organizational members will not be successful in managing change. Organizational development requires a continuous system of communication and feedback among members of the organization, the external environment, and leaders. (Contains 126 references.) (LMI) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. * ***** *,'c***** *************************** ************* *** * ** **,'c* ****** A CONCEPTUAL MODEL TO ASSIST EDUCATIONAL LEADERS MANAGE CHANGE A STUDY CONDUCTED BY
Vestibular therapy improved motor planning, attention, and balance in children with attention deficit hyperactivity disorders: a randomized controlled trial

1Department of Occupational Therapy, School of Rehabilitation, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran 2Department of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran 3Department of Audiology, School of Rehabilitation, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran 4Department of Psychology, Faculty of Psychology and Educational Sciences, University of Tehran, Tehran, Iran 5Department of Psychology, Faculty of Education & Psychology, Shahid Beheshti University Tehran, Iran
Fibromyalgia and its effect on treatment response i n early rheumatoid arthritis patients : results from the ESPOIR cohort

Fibromyalgia and its effect on treatment response i n early rheumatoid arthritis patients: results from the ESPOIR cohort. Josefina Durán 1, 2 Bernard Combe 4 Jingbo Niu 1 Nathalie Rincheval 4 Cécile GaujouxViala 4 David T. Felson 1,3 Clinical Epidemiology Research and Training Unit, Boston University School of Medicine. Boston, MA. Rheumatology Department, Pontificia Universidad Católica de Chile School of Medicine, Santiago, Chile.
The Impact of Aircraft Noise on Housing Prices in Poznan

In the paper, we analyzed the impact of aircraft noise on housing prices. We used a dataset containing geo-coded transactions for 1328 apartments and 438 single-family houses in the years 2010 to 2015 in Poznan. In this research, the hedonic method was used in OLS (ordinary least squares), WLS (weighted least squares), SAR (spatial autoregressive model) and SEM (spatial error model) models. We found strong evidence that aircraft noise is negatively linked with housing prices, which is in line with previous studies in other parts of the world. In our research, we managed to distinguish the influence of aircraft noise on different types of housing. The noise depreciation index value we found in our study was 0.87% in the case of single-family houses, and 0.57% regarding apartments. One of the reasons for the difference in the level of impact of aircraft noise may be the fact that the buyers of apartments may be less sensitive to aircraft noise than the buyers of single-family houses.
Systems and Software Product Line Engineering

Systems and software product line engineering is a way to engineer a portfolio of related products in an efficient manner, taking full advantage of the products’ similarities while respecting and managing their differences. Considering a portfolio as a single entity to be managed, as opposed to a multitude of separate products to be managed, brings enormous efficiencies in production and maintenance; these efficiencies are delivering order-of-magnitude improvements in engineering cost, time to market, staff productivity, product line scalability, and quality. This entry defines and explores the concepts central to systems and software product line engineering and five key characteristics that are central to its modern practice.
Binding patterns of seminal plasma plasma proteins on bovine epididymal and ejaculated sperm membrane *

The present study was designed to investigate the topographical distribution of seminal plasma (SP) proteins on epididymal and ejaculated bovine sperm. Using immunocytochemistry and confocal microscopy the binding patterns of bovine SP proteins BSP-A3, albumin, transferrin, prostaglandin Dsynthase (PGDS) and nucleobindin in ejaculated and cauda epididymal sperm from adult bulls were evaluated. Experiments were performed using sperm from 5 males. Data showed a positive signal, only detected for anti-PGDS, in the acrosomal cap of epididymal and ejaculated sperm. In ejaculated sperm, a very weak signal for nucleobindin 2 in the midpiece and equatorial regions was detected, using the antirat nucleobindin. BSP-A3 was detected on all sperm regions studied, with a more evidenced signal in acrosome and midpiece. However, no binding was detected for albumin or transferrin in neither epididymal nor ejaculated sperm. In conclusion, PGDS, BSP-A3 and nucleobindin interact directly with bovine sperm, with specific topographic distribution. These findings may add to the knowledge of how these proteins modulate sperm functions, thus providing fundamental support for studies designed to evaluate how they influence sperm functions.