Miracle-dz/UniFAR-FTUs huggingface dataset:
Parámetros genéticos para producción de leche de ganado Holstein en dos modalidades de control de producción

Variance components and genetic parameters were estimated for total milk production at first lactation (MP1), milkyield adjusted to 305 d and adult equivalent at the first lactation (MP1std), total milk production of the first fivelactations (MP5) and milk yield adjusted to 305 d and mature equivalent of the first five lactations (MP5std). Thedatabases of the Mexican Holstein Association (MHA, n= 43,668) and of the National Bank of Dairy Information(NBDI, n= 120,217) were used. Variances were estimated by REML, using a simple animal model for MP1 and MP1stdand a repeatability animal model for MP5 and MP5std. Heritability estimates ranged from low to moderate for thefirst lactation (0.17 ± 0.009 to 0.49 ± 0.019) and for the first five lactations (0.16 ± 0.006 to 0.41 ± 0.004). Therepeatabilities for MP5 and MP5std ranged from 0.32 ± 0.002 to 0.41 ± 0.004. The inclusion of information of theNBDI on the national evaluations made possible the incorporation of production data that had not been taken intoconsideration before. This inclusion not only improved the accuracy of sire breeding values for milk production, butalso allowed the prediction of breeding values of more foreign and domestic animals with progeny in Mexico.
Towards more effective information distribution in data-driven organizations Development of a lens for the assessment of user-centeredness in existing structuring in manufacturing organizations

Manufacturing organizations commonly produce large amounts of information that, in order to be of value, needs to be processed by individuals in that organization. When the information distributed to these individuals exceeds their information processing capacity, information overload occurs. Literature suggests that structure in the distribution of information is needed to enable individuals to better utilize their processing capacity. This paper explores the concept of a user-centered perspective on the structuring of information distribution in manufacturing organizations. It describes the development of a theoretical lens by means of a progressive case-study through which the current structuring mechanisms in organizations can be assessed for indicators of this user-centeredness. The lens is further developed and specified using insights derived from a case study at a large manufacturing organization in the Netherlands. As a whole, the lens may be used by designers of information distribution structures. Next steps in this area are validating the insights derived from theoretical and empirical study by means of additional case studies, as well as further specification of the relation between the core concepts of the lens.
Determination of the critical plane orientation depending on the fatigue curves for bending and torsion

This paper contains a proposition setting out a new way of determining an orientation angle of the critical plane. The applied method involves an analysis of fatigue life results’ scatter of several selected materials on the basis of a new criterion of multiaxial fatigue. The expression for the equivalent stress was derived on the basis of pure bending and pure torsion. The paper also contains a verification of the effectiveness of the proposed model by analyzing scatter bands and the value of the ratio of normal to shear stresses.
RADIOACTIVE IRON RAIN: TRANSPORTING 60Fe IN SUPERNOVA DUST TO THE OCEAN FLOOR

Several searches have found evidence of deposition, presumably from a near-Earth supernova (SN), with concentrations that vary in different locations on Earth. This paper examines various influences on the path of interstellar dust carrying from an SN through the heliosphere, with the aim of estimating the final global distribution on the ocean floor. We study the influences of magnetic fields, angle of arrival, wind, and ocean cycling of SN material on the concentrations at different locations. We find that the passage of SN material through the mesosphere/lower thermosphere has the greatest influence on the final global distribution, with ocean cycling causing lesser alteration as the SN material sinks to the ocean floor. SN distance estimates in previous works that assumed a uniform distribution are a good approximation. Including the effects on surface distributions, we estimate a distance of pc for an SN progenitor. This is consistent with an SN occurring within the Tuc-Hor stellar group ∼2.8 Myr ago, with SN material arriving on Earth ∼2.2 Myr ago. We note that the SN dust retains directional information to within 1◦ through its arrival in the inner solar system, so that SN debris deposition on inert bodies such as the Moon will be anisotropic, and thus could in principle be used to infer directional information. In particular, we predict that existing lunar samples should show measurable differences.
Determinants of Development of the Mutual Fund Industry. A Socio-Cultural Approach

The mutual fund industry has grown considerably in many countries since the 1990s. Its evolution has been explained primarily in terms of its economic and financial determinants. We draw on a dynamic set of measures for socio-cultural values to explain the differential development of mutual funds across the world. Using a sample of 38 countries for the period 1996-2009, we find a positive relation between the perception of happiness and the size of the mutual fund industry. Freedom of choice, a feature of countries that are dominated by individualistic behaviours and values, has a positive impact on the development of the industry. We also explain the positive relation between individuals’ preference for private ownership and the development of mutual funds. Moreover, we prove that the industry is larger in developed countries with greater stock market liquidity, with low ratios of remittance infl ows to GDP, and in which the industry is older.
Hidden Beneath the Ice: Actively Overwintering Zooplankton Populations

Freshwater lakes in winter are a historically uncharted territory. Scientists have failed to acknowledge the importance of winter limnology, and thus, a blatant knowledge gap needs to be filled. To understand the uniqueness of freshwater lakes requires studying the aquatic food web from the bottom up by identifying zooplankton species present in winter. This meta-analysis was conducted by analyzing data regarding the taxonomy and abundance of actively overwintering zooplankton species. Temperate and alpine lakes, or those above 45°N latitude were included in this meta-analysis. To compare winter-to-summer abundances, a ratio was produced and then correlated with abiotic factors associated with the data. Results showed that actively overwintering zooplankton communities were present in freshwater lakes; however, as expected, these communities were of lower abundances in winter than in summer. Future research should synthesize these results and correlate them with causal factors. Additionally, this meta-analysis shows that zooplankton overwinter in the water column and should contribute to winter food webs. Whether winter food webs are identical to summer food webs remains to be addressed.
A determination of the molar gas constant R by acoustic thermometry in helium

We have determined the acoustic and microwave frequencies of a misaligned spherical resonator maintained near the temperature of the triple point of water and filled with helium with carefully characterized molar mass M=(4.002 6032±0.000 0015) ? > g mol−1, with a relative standard uncertainty ur(M)=0.37×10−6 ? >. From these data and traceable thermometry we estimate the speed of sound in our sample of helium at TTPW=273.16 ? > K and zero pressure to be u02=(945 710.45±0.85) ? > m2 s−2 and correspondingly deduce the value R=(8.314 4743±0.000 0088) ? > J mol−1 K−1 for the molar gas constant. We estimate the value k=R/NA=(1.380 650 8±0.000 0015)×10−23 ? > J K−1 for the Boltzmann constant using the currently accepted value of the Avogadro constant NA. These estimates of R and k, with a relative standard uncertainty of 1.06 × 10−6, are 1.47 parts in 106 above the values recommended by CODATA in 2010.
A new paradigm for the folding of ribonucleic acids

De recentes decouvertes montrent le role important que joue l’acide ribonucleique (ARN) au sein des cellules, que ce soit le controle de l’expression genetique, la regulation de plusieurs processus homeostasiques, en plus de la transcription et la traduction de l’acide desoxyribonucleique (ADN) en proteine. Si l’on veut comprendre comment la cellule fonctionne, nous devons d’abords comprendre ses composantes et comment ils interagissent, et en particulier chez l’ARN. La fonction d’une molecule est tributaire de sa structure tridimensionnelle (3D). Or, determiner experimentalement la structure 3D d’un ARN s’avere fort couteux. Les methodes courantes de prediction par ordinateur de la structure d’un ARN ne tiennent compte que des appariements classiques ou canoniques, similaires a ceux de la fameuse structure en double-helice de l’ADN. Ici, nous avons ameliore la prediction de structures d’ARN en tenant compte de tous les types possibles d’appariements, dont ceux dits non-canoniques. Cela est rendu possible dans le contexte d’un nouveau paradigme pour le repliement des ARN, base sur les motifs cycliques de nucleotides ; des blocs de bases pour la construction des ARN. De plus, nous avons developees de nouvelles metriques pour quantifier la precision des methodes de prediction des structures 3D des ARN, vue l’introduction recente de plusieurs de ces methodes. Enfin, nous avons evalue le pouvoir predictif des nouvelles techniques de sondage de basse resolution des structures d’ARN.
Global epigenetic and metabolic changes accompany the alterations in fruit size and shape of Cucurbita pepo L. intra-species grafting

To further understand the impact of grafting on fruit characteristics and to comprehend the mechanisms involved in graft-induced changes we studied homo- and hetero- grafted Cucurbita pepo cultivars (cv.) that vary in fruit size and shape. C. pepo cv. ‘Munchkin’ (small fruit) and cv. ‘Big Moose’ (large fruit) as well as cv. ‘Round green’ (round fruit) and cv. ‘Princess’ (elongated fruit) were homografted and reciprocally heterografted. The results show significant changes in fruit size when ‘Big Moose’ was grafted onto ‘Munchkin’ rootstocks in comparison to homo-grafted controls. Moderate changes in fruit shape were observed when grafting of cv. ‘Round green’ and cv. ‘Princess’ were performed. This is the first report of such phenotypic changes after intra-species/inter-cultivar grafting in Cucurbitaceae. Additionally, we found significant changes in i) secondary metabolite profile, ii) global DNA methylation pattern and iii) miRNA expression patterns in grafted scions and iv) DNA methylation on graft-induced phenotypic changes in grafted plants. Our results contribute to further understanding graft-induced effects on fruit morphology in intra-species grafting. Furthermore, our results pave the way for understanding the role of phenolic metabolites and epigenetic molecular mechanisms on the phenotypic changes recorded.
Microarray Data Analysis of Perturbed Pathways in Breast Cancer Tissues

Due to the polygenic nature of cancer, it is believed that breast cancer is caused by the perturbation of multiple genes and their complex interactions, which contribute to the wide aspects of disease phenotypes. A systems biology approach for the identification of subnetworks of interconnected genes as functional modules is required to understand the complex nature of diseases such as breast cancer. In this study, we apply a 3-step strategy for the interpretation of microarray data, focusing on identifying significantly perturbed metabolic pathways rather than analyzing a large amount of overexpressed and underexpressed individual genes. The selected pathways are considered to be dysregulated functional modules that putatively contribute to the progression of disease. The subnetwork of protein-protein interactions for these dysregulated pathways are constructed for further detailed analysis. We evaluated the method by analyzing microarray datasets of breast cancer tissues; i.e., normal and invasive breast cancer tissues. Using the strategy of microarray analysis, we selected several significantly perturbed pathways that are implicated in the regulation of progression of breast cancers, including the extracellular matrix-receptor interaction pathway and the focal adhesion pathway. Moreover, these selected pathways include several known breast cancer-related genes. It is concluded from this study that the present strategy is capable of selecting interesting perturbed pathways that putatively play a role in the progression of breast cancer and provides an improved interpretability of networks of protein-protein interactions.
Cyber security of smart homes: development of a reference architecture for attack surface analysis

Recent advances in pervasive computing have caused a rapid growth of the Smart Home market, where a number of otherwise mundane pieces of technology are capable of connecting to the Internet and interacting with other similar devices. However, with the lack of a commonly adopted set of guidelines, several IT companies are producing smart devices with their own proprietary standards, leading to highly heterogeneous Smart Home systems in which the interoperability of the present elements is not always implemented in the most straightforward manner. As such, understanding the cyber risk of these cyber-physical systems beyond the individual devices has become an almost intractable problem. This paper tackles this issue by introducing a Smart Home reference architecture which facilitates security analysis. Being composed by three viewpoints, it gives a high-level description of the various functions and components needed in a domestic IoT device and network. Furthermore, this document demonstrates how the architecture can be used to determine the various attack surfaces of a home automation system from which its key vulnerabilities can be determined.
THE FRAMEWORK OF THE INTERACTION BETWEEN ACTORS IN ORGANIC CHAINS IN RELATION TO THE ECOLOGICAL MODERNISATION OF FOOD PRODUCTION

9 INTRODUCTION . 11 Organic food production and its market . 11 The aim of the research . 13 THEORETICAL AND METHODOLOGICAL APPROACHES TO ORGANIC CHAINS . 17 Food system studies . 17 Ecological modernisation . 19 Supply chain management . 22 Discussion and integration of the three approaches . 24 Conceptual framework . 28 The articles in relation to the aim of the research . 31 RESEARCH METHODOLOGY . 35 Research design . 35 Data . 38 Analysis . 40 FINDINGS . 43 Coherency among the stakeholders . 43 Communication among the primary stakeholders . 44 Comparison of the cases . 45 Discussion of the ndings . 46 Assessment of the research process . 49 SYNTHESIS: A THREE-LAYER FRAMEWORK . 53 Discussion of the three-layer framework . 56 Practical recommendations . 59 Suggestions for further research . 60 ACKNOWLEDGEMENTS . 63 REFERENCES . 65
HITTING TIMES FOR BESSEL PROCESSES

We study the density of therst time that a Bessel bridge of dimension 2 R hits a constant boundary. We do so byrst writing the stochastic differential equations to analyze the Bessel process for every 2 R. Then, we make use of a change of measure using a Doob's h-transform. The technique covers processes which are solutions of a certain class of stochastic differential equations. Another example we present is for the 3{dimensional Bessel process with drift.
NC Machine Tools Fault Diagnosis Based on Kernel PCA and -Nearest Neighbor Using Vibration Signals

This paper focuses on the fault diagnosis for NC machine tools and puts forward a fault diagnosis method based on kernel principal component analysis (KPCA) and -nearest neighbor (NN). A data-dependent KPCA based on covariance matrix of sample data is designed to overcome the subjectivity in parameter selection of kernel function and is used to transform original high-dimensional data into low-dimensional manifold feature space with the intrinsic dimensionality. The NN method is modified to adapt the fault diagnosis of tools that can determine thresholds of multifault classes and is applied to detect potential faults. An experimental analysis in NC milling machine tools is developed; the testing result shows that the proposed method is outperforming compared to the other two methods in tool fault diagnosis.
Positive interference of silicon on water relations, nitrogen metabolism, and osmotic adjustment in two pepper ('capsicum annuum') cultivars under water deficit

Silicon actuation can influence the physiological parameters and nitrogen metabolism of pepper. The aim of this study was to (i) investigate the silicon action on nitrogen metabolism and (ii) elucidate the mechanism responsible for osmotic adjustment in two Capsicum annuum cultivars with high commercial values exposed to water deficiency. Experimental design used was a completely randomised factorial layout composed of five water and Si treatment combinations (control, deficit + 0.00, deficit + 0.25, deficit + 1.00, and deficit + 1.75 μM Si), applied to two cultivars (Ikeda and Vermelho Gigante) with six replicates. Parameters evaluated were leaf relative water content, stomatal conductance, transpiration rate, nitrate reductase activity, free ammonium, total soluble amino acids, total soluble proteins, proline and glycinebetaine. Proline levels in both cultivars were increased with silicon application in 0.25 µM Si, if compared with the control and deficit + 0 µM Si. A higher glycinebetaine concentration was found in Ikeda cv. at 0.25 µM Si, when compared to control and deficit + 0 µM Si. The data suggests positive inference of silicon on water relations and nitrogen compounds, and an improvement in osmotic adjustment in Capsicum annuum plants exposed to water deficit. Proline and glycinebetaine contribute to osmotic adjustment in Ikeda, while this process in Vermelho Gigante is carried only by glycinebetaine.
Choice of remuneration regime in fisheries: the case of Hawaii’s longline fisheries

One of the most prominent features of remuneration in the Hawaii’s longline fisheries industry has been the norm of share contract regimes. This paper investigates whether the use of share contract regime is positively correlated to increased economic returns. The principal-agent framework is applied to develop a theoretical model for the remuneration choice. Empirical estimation is conducted using a switching regression model that accounts for certain vessel characteristics effects on revenue, depending on remuneration regime used (i.e., share contract or flat wage), as well as the potential selection bias in the vessels’ contractual choice. Key findings from counterfactual simulations indicate: (1) a negative selection into choosing share contracts, and (2) that flat wage vessels would experience significantly higher revenues if they switch to share contracts. Thus, even though the labor market in Hawaii’s longline fisheries relies upon foreign crew members, the results suggest that it would benefit owners of flat wage vessels to apply share contracts to increase their revenues.
A new approach for classification of clayey soil: A case study for Adapazari region, Turkey

Adapazari city is founded on very deep alluvial deposits which mainly consist of gravel, sand, silt, silty and clayey sands and clay. In this study, neural networks (NN) are used in the classification of clay samples existence in north of Adapazari. NN is a powerful data modeling tool capable of capturing and representing complex relationships between input and output. It has been used as alternative method in engineering analyses and estimations. In order to define general soil condition of Adapazari region, the NN model was trained and tested using liquid limit and plasticity index of clay samples obtained from drillings and laboratory works. By this developed of new NN model, the formula for Adapazari clays was found out and presented.
FRIB MACHINE PROTECTION SYSTEM DESIGN AND VALIDATION STUDIES

The FRIB heavy ion superconducting linac will become the highest peak power heavy ion beam facility, with beams carrying up to 400 kW power with kinetic energy ≥ 200 MeV/u. Fast protection systems are required to detect and remove beam within 35 s. Detection of beam losses in the low energy linac segment is confounded by two effects: small fluxes of secondary radiation from beam impacts, and large fluxes due to cross-talk from neighboring, higher energy linac sections. We describe a machine protection scheme based on multiple families of diagnostics and diagnostic networks. On-going fault mode studies are utilized to assess risk and to assist in the definition of specific detection networks for high reliability and responsivity.
The effect of fear of pain on rehabilitation of acute musculoskeletal injury

The Fear-Avoidance Model (FAM) is a psychological theory that was created to explain why some patients develop chronic back pain while others do not. However, there is little research on the influence of the FAM and acute extremity injuries. Therefore, the aim of our study was to determine if the FAM is correlated to time to return to play from an acute injury. Twenty six student athletes who had suffered an acute injury that required up to six weeks of rehabilitation volunteered for this study. The FAM, including fear of pain (FPQ-III), kinesiphobia (TSK), fear avoidance (FABQ), and catastrophizing (PCS) was assessed using self-report questionnaires. Physical measures recorded included range of motion (ROM), strength, pain, disability, and evoked tenderness. All measurements were taken within 24 hours of an athlete being injured and every two weeks until the athlete returned to play. Return to play (RTP) was defined as returning to competition or practice in days. No significant correlations were discovered between RTP and the FABQ and the TSK. Moderate correlations were found between the medical pain subscale of the FPQ-III and the magnification subscale of the PCS and RTP -0.372 ( p = 0.061) and 0.370 (p = 0.063) respectively. The FABQ was significantly correlated with many of the physical measures, including disability, pain, and ROM. Although we could not confirm the ability of the FAM to predict the length of rehabilitation following an acute injury, moderate trends were found signifying that the FAM provides an important indicator of physical signs.
Study of Ultrasonically Sprayed ZnO Films: Thermal Annealing Effect

ZnO thin films were deposited on microscope glass substrates by ultrasonic spray pyrolysis technique. The effects of annealing under various temperatures on the optical and structural properties of ZnO thin films were analyzed. The as-deposited and annealed ZnO thin films were investigated by UV/VIS spectrophotometer and X-ray diffractometer. Some of the optical properties of the films such as transmittance, absorbance and band gap energy were investigated by UV/VIS spectrophotometer. The crystallinity levels of the films were investigated, the structural parameters such as diffraction angle, full-width at half maximum, lattice parameters, grain size and dislocation density were calculated and structural properties were analyzed. X-ray diffraction patterns indicated that the ZnO films had a polycrystalline hexagonal wurtzite structure.