Miracle-dz/UniFAR-FTUs huggingface dataset:
Hipparion del Turoliense superior de Las Casiones (Fosa de Teruel)

espanolEn este trabajo se realiza un estudio exhaustivo del material perteneciente al genero Hipparion del yacimiento paleontologico de Las Casiones (Fosa de Teruel, Espana) de edad Turoliense superior (MN13), el cual no habia sido descrito con anterioridad. Este trabajo incluye la descripcion y estudio, a traves de analisis bivariantes y multivariantes, de casi 2.500 restos fosiles de Hipparion procedentes de este yacimiento, y su comparacion con ejemplares de Hipparion concudense, Hipparion gromovae e Hipparion periafricanum de los yacimientos de Cerro de la Garita, El Arquillo y Milagros. A partir de su talla, de sus caracteristicas morfologicas y. (Ver mas) de los resultados de los analisis bivariantes y multivariantes realizados, se han identificado tres especies distintas en el yacimiento: Hiparion primigenium, Hipparion gromovae e Hipparion periafricanum. EnglishAn exhaustive morphological and biometrical study of Hipparion fossil material from Las Casiones locality (Teruel basin, Spain), wich has not been previously described, is presented. These forms are compared with Hipparion concudense, Hipparion gromovae and Hipparion periafricanum from Cerro de la Garita, El Arquillo and Milagros Spanish localities. Hipparion remains from Las Casiones are identified as Hipparion primigenium, Hipparion gromovae and Hipparion periafricanum by their size and morphological characters, and confirmed by bivariate and multivariate analyses. The faunal assemblages indicate a late Turolian age (MN13) for Las Casiones locality.
Advancing an Innovation Orientation in Organizations: Insights from North American Business Leaders

The word innovation is widely referred to in business circles as the next level of competitive advantage. However, for many organizations today, it lacks tangibility as managers struggle with developing an innovation orientation that provides sustainable value creation. Using a mixed methods research approach, the aim and contribution of this paper is to report the qualitative findings of Fortune 1000 (F1000) organizations concerning their efforts to implement innovation agendas. Over 1100 business leaders were surveyed, which proves to be one of the largest surveys of innovation to date amongst the F1000. This article sets out to answer three basic questions as it concerns the implementation of an innovation agenda in organizations. These questions include: What does innovation mean to organizations? What has been the biggest challenges to introducing and sustaining an innovation orientation? And what has worked well in supporting an innovation orientation? What we have discovered is that leaders’ thoughts on innovation are anchored on the need for changing the status quo and trying something new. They are also particularly aware of the correlation between innovation and performance. The change theme is further echoed as the predominant barrier to change. That is, breaking the inertia of the status quo is seen as one of the top barriers to innovation. Further, our findings identified six common challenges to introducing, executing and sustaining innovation. These barriers revolve around resistance to change, organizational process, leadership, funding and resources, the external environment, and customer adoption. Finally, there are a cluster of activities that have worked well to support successful implementation of an innovation orientation in organizations. Important activities such as leadership for innovation, knowledge management, organizational structures and processes, and aligned performance management were identified by leaders as noteworthy to successful innovation.
When Climate is Changing: Effects of Phenology and Local Climate on Individual Fitness

The fitness impacts of climate change on seasonal breeding organisms is, in part, linked to local climatic effects on phenology (i.e. the timing of major life events, such as breeding and migration) and how these relate to temporal changes in resource distribution. Thus, in this thesis we examine relationships between phenology, measures of fitness (reproduction and survival) and local climate for a long-distance migratory bird species, the northern wheatear (Oenanthe oenanthe). There was a seasonal fitness decline in this population, but the relative contribution of different reproductive components to this decline varied. Because declines in these fitness components were driven by different factors this suggests climate change is unlikely to affect fitness components equally. This unequal susceptibility of different fitness components to climate change was further demonstrated by different responses in reproduction and survival to rainfall, and that these effects were age-, sex- and time-dependent. During the past 20 years, wheatears have advanced their migration to arrive and begin breeding ~8 days earlier than in the early 1990s. Regardless, this change in migration and breeding phenology may be lagging behind current climate change because birds are breeding increasingly later relative to the progression of spring. One factor potentially contributing to this phenological mismatch is limited plasticity in the arrival-breeding interval, arising from constraints on how much the interval can be reduced after migration. Another constraint on the ability for birds to advance their breeding time is the cost of reproduction carried over from one breeding season to the next. This impacts on individual fitness through delays in breeding phenology and the fitness loss associated with seasonal fitness declines. Overall, this thesis shows that to avoid underestimation of potential effects of climate change on population demography, all fitness components and their drivers need to be considered. In addition, it highlights potential constraints preventing individuals from optimally adjusting their breeding time in order to track environmental change. Such knowledge is crucial if we are to make informed decisions regarding the management of populations in the future.
Emergency management of the 2010 Mt. Rotolon landslide by means of a local scale GB-InSAR monitoring system

Diffuse and severe slope instabilities affected the whole Veneto region (Northeast Italy) between October 31 st and November 2 nd 2010, following a period of heavy and persistent rainfall. In this context on November 4 th 2010 a large detrital mass detached from the cover of the Mt. Rotolon Deep Seated Gravitational Slope Deformation (DSGSD), located in the upper Agno River Valley, channelizing within the Rotolon Creek riverbed and evolving into a highly mobile debris flow. The latter phenomena damaged many hydraulic works, also putting at high risk bridges, local roads, together with population of the Maltaure, Turcati and Parlati villages located along the creek banks and of the Recoaro Terme town. Starting from the beginning of the emergency phase, the Civil Protection system was activated, involving the National Civil Protection Department, Veneto Region, and local administrations personnel and technicians, as well as scientific institutions. On December 8 th 2010 a local scale monitoring system, based on a Ground Based Interferometric Synthetic Aperture Radar (GB-InSAR), was implemented in order to evaluate the slope deformation pattern evolution in correspondence of the debris flow detachment sector, with the final aim of assessing the landslide residual risk and manage the emergency phase. This paper describes the outcomes of a two years GB-InSAR monitoring campaign (December 2010–December 2012), its application for monitoring, mapping, and emergency management activities, in order to provide a rapid and easy communication of the results to the involved technicians and civil protection personnel, for a better understanding of the landslide phenomena and decision making process in a critical landslide scenario.
A Composite Heterostructure Mesh-shaped Patch Antenna Based on Left Handed Material

In this paper, a composite heterostructure mesh-shaped patch antenna based on left handed material (LHM) is presented. The method of finite difference time domain (FDTD) is used. The results show that electromagnetic wave resonance occurs near 4.52 GHz, where the equivalent permittivity and permeability of composite material are both negative. The composite antenna’s gain improves 9.047 dB, its return loss reduces 20.26 dB compared to the conventional antenna’s ones. The results indicate that this composite patch antenna system can reduce return loss of the antenna and increase the gain obviously.
Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models

AbstractObservations of robust scaling behavior in clouds and precipitation are used to derive constraints on how partitioning of precipitation should change with model resolution. Analysis indicates that 90%–99% of stratiform precipitation should occur in clouds that are resolvable by contemporary climate models (e.g., with 200-km or finer grid spacing). Furthermore, this resolved fraction of stratiform precipitation should increase sharply with resolution, such that effectively all stratiform precipitation should be resolvable above scales of ~50 km. It is shown that the Community Atmosphere Model (CAM) and the Weather Research and Forecasting model (WRF) also exhibit the robust cloud and precipitation scaling behavior that is present in observations, yet the resolved fraction of stratiform precipitation actually decreases with increasing model resolution. A suite of experiments with multiple dynamical cores provides strong evidence that this “scale-incognizant” behavior originates in one of the CAM4 pa.
Effects of meeting the requirements in energy and protein, and of systemic inflammation on the interval from parturition to conception in dairy cows

Humer E. , Gruber L. , Zebeli Q. (2018): Effects of meeting the requirements in energy and protein, and of systemic inflammation on the interval from parturition to conception in dairy cows. Czech J. Anim. Sci., 63, 201–211. Main aim of this retrospective study was to determine the role of the level of meeting the requirements in net energy of lactation (NEL) and utilizable crude protein at the duodenum (uCP) in weeks 3–17 postpartum on the interval from parturition until conception (IUC) in dairy cows. We compared intakes and balances of NEL and uCP, body weight change, metabolic status, reticuloruminal pH, and serum amyloid A (SAA) as a systemic inflammation marker in 30 dairy cows differing in the IUC length (i.e., short (S; n = 8), medium (M; n = 11), and long (L; n = 11) IUC for cows confirmed pregnant within week 10 or between weeks 11 and 17 postpartum, or thereafter, respectively). Data showed that the level of meeting the requirements in NEL and uCP in weeks 3–10 postpartum was instrumental in shortening the IUC in the cows pertaining to S IUC group (P ≤ 0.03). As an average, during this period the S cows met 104 and 110% of their requirements in NEL and uCP, respectively. In contrast, the M and L cows met 96 and 95% of NEL as well as 104 and 101% of uCP requirements, respectively. The M cows showed higher milk and blood urea nitrogen (P = 0.04), and also lower SAA concentration (P = 0.05) compared to L cows. In conclusion, exceeding the requirements in both NEL and uCP in weeks 3–10 postpartum significantly shortened the IUC to less than 10 weeks. The shorter IUC in M vs L cows went along with improved protein status and lesser systemic inflammation in week 6 postpartum in these cows.
Genetic impact on protein content and hullability of sunflower seeds, and on the quality of sunflower meal

Sunflower seed quality, in particular the characteristics of hullability and protein content, has a significant impact on the protein content of the resulting meal. Seeds dehulled before crushing produce a meal with a protein content of approximately 36%; without dehulling, the protein content is typically in the range of 27–29%. This study seeks to assess the effect of sunflower variety on hullability and protein content. Genetic effects were studied by means of seed samples obtained from a network of variety evaluation trials undertaken across the production area in France for sunflowers. For both characteristics, significant differences between cultivars were observed; as a consequence, the potential protein content of their dehulled meals also ranged widely (34–44%). Genetic selection, which provides substantial improvements in both oil content and fatty acid composition, should therefore be expected to enhance the quality of sunflower meal.
Performance, Carcass Characteristics and Cost Benefit Analysis of Broiler Chickens Fed Graded Levels of Rice Milling Waste

Two hundred and twenty five (225) Anak-2000 day-old broiler chicks were used to evaluate the performance, carcass characteristics and cost benefit analysis. The birds were allotted to five treatments. Each treatment has three replicates with 15 chicks each. Rice milling waste (RMW) replaced 0%(control), 25%, 50%, 75% and 100% of maize in five diets that were fed ad libitum for a period of three and six weeks at starter and finisher phases respectively. The experimental design was completely randomized design (CRD). Results obtained show that the mean values for final weight gain, daily weight gain and FCR among the treatments were not significantly different (P > 0.05) but the feed intake showed significant (P 0.05) however, the shank and abdominal fat values differed significantly (P < 0.05) between the treatments. Finally, the economic analysis showed that RMW-based diets supported heavier weight gain (2742.50–2957.14 g) compared to control diets (2715.39 g) and cost less to produce a unit weight(N221.04-264.91) than the control (N287.78) diets. The use of RMW in broiler chicken diet shows a reduction in the cost of production and increases in the profit margin of raising broiler chickens. Also it was observed that up to 100% level of maize could be replaced with RMW in broiler chicken diets without adverse effect on the productive parameters. Further study is suggested to establish rice milling waste as a source of energy in chickens’ diets particularly on layers. Keywords: performance, carcass characteristics & cost benefit analysis
Assessment of role of genetic polymorphisms in XRCC1, XRCC2 and XRCC3 genes in cervical cancer susceptibility from a rural population: a hospital based case-control study from Maharashtra, India

Background: Cervical cancer is a major concern of health risk, moreover the leading cause of cancer causing deaths in women of rural parts of India. This study was aimed to assess the risk of cervical cancer development in association with polymorphisms in X-Ray Cross Complementing Group (XRCC1, XRCC2 and XRCC3) genes in the rural population of south-western Maharashtra. We focused to determine the frequency of polymorphisms in DNA repair genes including XRCC1 at codon (cd) 194, cd 280, cd 399, XRCC2 at cd 188 and XRCC3 at cd 241 and their plausible role in cervical cancer risk from rural parts of India.Methods: This study included 350 proven cases with cervical cancer and 400 age and sex matched controls. We used polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) to analyze the association XRCC1, XRCC2 and XRCC3 gene polymorphisms with cervical cancer development in women of South-Western Maharashtra.Results: The result from our study showed that allele frequencies of selected genes were not statistically different between the groups for XRCC1 Trp194, XRCC2 His188 and XRCC3 Met241. XRCC1 His280 (OR= 4.36; 95% CI= (3.20-5.95); p= <0.0001) and XRCC1 Gln399 (OR= 2.99; 95% CI= (1.60-5.56); p= <0.0001) genotypes significantly increased the risk of cervical cancer.Conclusions: This study indicates that polymorphisms in cd 280 of exon 9 and cd 399 of exon 10 of XRCC1 gene could play a role in modifying genetic susceptibility of individuals towards cervical cancer among women from rural Maharashtra. This case-control study suggest that selected DNA repair genes represent genetic determinants in cervical carcinogenesis along with other risk factors in the rural Indian population.
Incorporating quality of service in a benchmarking model:an application to French electricity distribution operators

In this paper we use annual data on 92 French elect ricity distribution units (2003-2005) to estimate a benchmarking model that includes a quali ty of service indicator (number of interruptions). Our methodology involves the estim ation of input distance functions using stochastic frontier analysis (SFA) and data envelop ment analysis (DEA) techniques. The empirical results indicate that the inclusion of th e quality variable has no significant effect upon mean technical efficiency scores, and the mean shadow price of one interruption is approximately ten Euros.
Statistical Implicative Analysis Approximation to KDD and Data Mining: A Systematic and Mapping Review in Knowledge Discovery Database Framework

— According to Scopus, only in the year 2016, there were 15747 scientific papers about data mining and KDD. These have been and remain useful technologies. In this paper, we determine the approximation level of SIA to KDD and Data Mining. To this end, we have created an approximation framework based on definition and step process proposed by Fayyad. We use mapping review and systematic review from literature published in the last 5 years in bibliographic databases ACM, EBSCO, Google Scholar, IEEE, ProQuest, Scopus and WOS. We started with 200 papers and finally, 35 had all quality criteria. This paper also describes the SIA papers and identifies a series of future research in SIA, KDD and Data Mining.
Hawkes Process Kernel Structure Parametric Search with Renormalization Factors

Hawkes Processes are a type of point process for modeling self-excitation, i.e., when the occurrence of an event makes future events more likely to occur. The corresponding self-triggering function of this type of process may be inferred through an Unconstrained Optimization-based method for maximization of its corresponding Loglikelihood function. Unfortunately, the non-convexity of this procedure, along with the ill-conditioning of the initialization of the self- triggering function parameters, may lead to a consequent instability of this method. Here, we introduce Renormalization Factors, over four types of parametric kernels, as a solution to this instability. These factors are derived for each of the self-triggering function parameters, and also for more than one parameter considered jointly. Experimental results show that the Maximum Likelihood Estimation method shows improved performance with Renormalization Factors over sets of sequences of several different lengths.
Modelling mid-infrared molecular emission lines from T Tauri stars

We introduce a new modelling framework including the Fast Line Tracer (FLITS) to simulate infrared line emission spectra from protoplanetary discs. This paper focusses on the mid-IR spectral region between 9.7 and 40 μm for T Tauri stars. The generated spectra contain several tens of thousands of molecular emission lines of H2O, OH, CO, CO2, HCN, C2H2, H2, and a few other molecules, as well as the forbidden atomic emission lines of S I, S II, S III, Si II, Fe II, Ne II, Ne III, Ar II, and Ar III. In contrast to previously published works, we do not treat the abundances of the molecules nor the temperature in the disc as free parameters, but use the complex results of detailed 2D PRODIMO disc models concerning gas and dust temperature structure, and molecular concentrations. FLITS computes the line emission spectra by ray tracing in an efficient, fast, and reliable way. The results are broadly consistent with R = 600 Spitzer/IRS observational data of T Tauri stars concerning line strengths, colour, and line ratios. In order to achieve that agreement, however, we need to assume either a high gas/dust mass ratio of order 1000, or the presence of illuminated disc walls at distances of a few au, for example, due to disc–planet interactions. These walls are irradiated and heated by the star which causes the molecules to emit strongly in the mid-IR. The molecules in the walls cannot be photodissociated easily by UV because of the large densities in the walls favouring their re-formation. Most observable molecular emission lines are found to be optically thick. An abundance analysis is hence not straightforward, and the results of simple slab models concerning molecular column densities can be misleading. We find that the difference between gas and dust temperatures in the disc surface is important for the line formation. The mid-IR emission features of different molecules probe the gas temperature at different depths in the disc, along the following sequence: OH (highest)–CO–H2O and CO2–HCN–C2H2 (deepest), just where these molecules start to become abundant. We briefly discuss the effects of C/O ratio and choice of chemical rate network on these results. Our analysis offers new ways to infer the chemical and temperature structure of T Tauri discs from future James Webb Space Telescope (JWST)/MIRI observations, and to possibly detect secondary illuminated disc walls based on their specific mid-IR molecular signature.
Phylogenetic analysis of Mangifera from central region of Sumatra using trnL-F intergenic spacer

Fitmawati, Fauziah R, Hayati I, Sofiyanti N, Inoue E, Matra DD. 2017. Phylogenetic analysis of Mangifera from central region of Sumatra using trnL-F intergenic spacer. Biodiversitas 18: 1035-1040. Mangifera from Central Sumatra has an unique ability to adapt to the high rainfall regions. This genus is therefore as a potential germplasm source in Sumatra. The aim of this study was to analyze and compare the nucleotide sequences of Mangifera in the central region of Sumatra based on gene loci of trnL-F intergenic spacer. The initial step of research was conducted by isolating DNA from leaves sample of Mangifera based on CTAB method. Sequences of gene loci of trnL-F were analyzed with Maximum Parsimony and Neighbour Joining methods through PAUP* Program version 4.0b10. From the results of sequences analysis with Maximum Parsimony method, it was obtained a monophyletic group of Mangifera consisted of two main clades which separated M. kemanga from five other species of Mangifera, i.e. M. foetida, M. odorata, M. laurina and Mangifera sp. Parsimony analysis also revealed that the common ancestor of M. kemanga is the first species appeared in the central region of Sumatra. The result of Neighbour Joining analysis showed M. laurina had the longest genetic distance among examined species and might be assumed as the most primitive species of Mangifera. Mangifera laurina and M. odorata were closely related as well as M. foetida and M. odorata. The results of research also revealed and supported the genus Mangifera as a monophyletic group.