Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of a Buttiauxella phytase on production performance in growing/finishing pigs fed a European-type diet without inclusion of inorganic phosphorus

The effect of a Buttiauxella phytase, in a dose range of 0-1000 FTU/kg in feed, on production performance in growing/finishing pigs fed European type wheat, corn, barley and SBM based diet was determined. Five dietary treatments were tested including a positive control (PC), a negative control (NC) without inorganic P and with reduced Ca (–0.12%) and metabolisable energy content (–0.14 MJ ME/kg) or NC supplemented with Buttiauxella phytase (Axtra ® PHY, Danisco Animal Nutrition, DuPont Industrial Biosciences, Marlborough, UK) at 250, 500 or 1000 FTU/kg respectively. A total of 100 pigs (mean initial BW of 30 kg, Topig x Pi, 10 weeks of age) were used, with 20 replicates per treatment (50% gilts and 50% barrows). Pigs were individually housed in pens and randomly allocated on the basis of body weight (BW) and gender to the five treatments. Feed, in mash form, and water were offered ad libitum . Basal diets had an intrinsic phytase level of approximately 300 and 440 FTU/kg in NC grower and NC finisher diets respectively. Mean average daily gain (ADG), average daily feed intake (ADFI) and feed conversion ratio (FCR) were calculated for the feeding phases of 30–85 kg (grower), 85–125 kg (finisher) on trial and for overall period. During the grower phase, increasing phytase dose resulted in a linear increase in ADG. Phytase inclusion at 250, 500 and 1000 FTU/kg improved ADG by 3.5, 7.2 and 8.1% respectively compared to NC and by 0.8, 4.5 and 5.3% respectively compared to those fed the PC. Performance in the finisher phase, overall period and slaughter parameters were not different between dietary treatments. The data showed that it was beneficial to increase phytase dose up to 1000 FTU/kg in grower pigs up to 85 kg BW. In the finisher phase, in pigs with BW above 85 kg, 500 FTU/kg was sufficient to replace inorganic P and maintain performance and carcass characteristics comparable to pigs fed the PC.
Validation of a New Language Screening Tool for Patients With Acute Stroke: The Language Screening Test (LAST)

Background and Purpose— Standard aphasia scales such as the Boston Diagnosis Aphasia Evaluation are inappropriate for use in acute stroke. Likewise, global stroke scales do not reliably detect aphasia, and existing brief aphasia screening scales suitable for patients with stroke have several limitations. The objective of this study was to generate and validate a bedside language screening tool, the Language Screening Test, suitable for use in the emergency setting. Methods— The Language Screening Test comprises 5 subtests and a total of 15 items. To avoid retest bias, we created 2 parallel versions of the scale. We report the equivalence of the 2 versions, their internal and external validity, and their interrater reliability. We validated the scale by administering it to 300 consecutive patients within 24 hours after admission to our stroke unit and to 104 stabilized patients with and without aphasia using the Boston Diagnosis Aphasia Evaluation as a reference. Results— The 2 versions of the Language Screening Test were equivalent with an intraclass correlation coefficient of 0.96. Internal validity was good; none of the items showed a floor or ceiling effect with no redundancy and good internal consistency (Cronbach &agr; 0.88). External validation against the Boston Diagnosis Aphasia Evaluation showed a sensitivity of 0.98 and a specificity of 1. Interrater agreement was near perfect (intraclass correlation coefficient, 0.998). The median time to complete the Language Screening Test was approximately 2 minutes. Importantly, the Language Screening Test does not need to be administered by a speech and language therapist. Conclusions— This comprehensively validated language rating scale is simple and rapid, making it a useful tool for bedside evaluation of patients with acute stroke in routine clinical practice.
Cells as liquid motors: Mechanosensitivity emerges from collective dynamics of actomyosin cortex

Significance Animals have muscles to act on their environment. The molecules endowing them with this faculty are actin and myosin and are also present in nonmuscle cells. Our modelling breaks down the motor-like properties of the actomyosin network in single nonmuscle cells, which show striking similarity to the properties of muscles. In particular, an internal friction sets the maximum speed of contraction of both cells and muscles when myosins do not have time to detach after pulling, just as rowers lifting their oars too slowly after their stroke. The same modelling explains cell-scale mechanosensing: the combination of myosin-driven contraction and actin polymerization-driven protrusivity regulates cell length in a force-dependent manner, making response to rigidity a property of the very material of the cell cortex. Living cells adapt and respond actively to the mechanical properties of their environment. In addition to biochemical mechanotransduction, evidence exists for a myosin-dependent purely mechanical sensitivity to the stiffness of the surroundings at the scale of the whole cell. Using a minimal model of the dynamics of actomyosin cortex, we show that the interplay of myosin power strokes with the rapidly remodeling actin network results in a regulation of force and cell shape that adapts to the stiffness of the environment. Instantaneous changes of the environment stiffness are found to trigger an intrinsic mechanical response of the actomyosin cortex. Cortical retrograde flow resulting from actin polymerization at the edges is shown to be modulated by the stress resulting from myosin contractility, which in turn, regulates the cell length in a force-dependent manner. The model describes the maximum force that cells can exert and the maximum speed at which they can contract, which are measured experimentally. These limiting cases are found to be associated with energy dissipation phenomena, which are of the same nature as those taking place during the contraction of a whole muscle. This similarity explains the fact that single nonmuscle cell and whole-muscle contraction both follow a Hill-like force–velocity relationship.
Finding K Optimum Edit Scripts between an XML Document and a RegularTree Grammar

In the disclosed system, if the frequency of input signals exceeds a value suitable for a load, the input signals and output signals are stored and compared in a comparator while locking of a phase locked loop is delayed by a loop filter that allows the output of the VCO (voltage controlled oscillator) to increase or decrease only at rates slower than given rates. When the input signals end after the loop locks, the filter delay causes the VCO to keep producing signals which are passed until the comparator recognizes that the number of output signals equals the number of input signals. If the input signals end before the loop locks, a logic circuit causes the VCO frequency to keep rising until another comparator indicates that the number of output signals has reached one-half the input signals.
Improving Grouped Variable Selection via agLasso

The group lasso (Yuan & Lin, 2006) is a natural extension of the lasso for selecting groups of varaibles. However, it suffers from inefficiency and sometimes inconsistency in model selection. To remedy these problems, we propose the adaptive group lasso (agLasso) method which improves the finite sample performance of the group lasso by adaptively shrinking the norms of the group coefficients. In addition, we show theoretically that the proposed agLasso estimator using the BIC as the tuning parameter selector is able to identify the underlying true model consistently, and the resulting estimator can be as efficient as the oracle. Our simulation studies confirm the theoretical findings, and one real example further demonstrates its usefulness.
Barriers and Strategies of Fruit and Vegetable Consumption in High School Students in Sanandaj

Background and Objective: Adolescence is one of the most important periods of life, in which the lifestyle is formed and established. On the other hand, the use of appropriate amounts of fruits and vegetables in daily diet is one of the important strategies for preventing illness and promoting health, especially during adolescence. This study was conducted with the aim of investigating barriers and strategies of fruit and vegetable consumption in high school students. Participants and Methods: This qualitative study was conducted, using a semi-structured questionnaire in a focused group discussion among high school students (male and female) in Snandaj in 2017. The participants included 20 females and 16 males, who participated in 4 group discussions in the high schools. All group discussions were recorded, analyzed, and categorized immediately after completion. Due to the similarity of the propositions extracted from the group discussions with the Pen-3 pattern, this model was used for analysis. Results: The concepts extracted based on the model were categorized in six sections including positive and negative perceptions, positive and negative enablers, and positive and negative amplifiers. Some of the findings of the present study were low nutritional knowledge, beliefs and values, the impact of peers, the role of parents, the media, and access. Conclusion: Adolescent barriers to the consumption of fruits and vegetables are not merely dependent on the person themselves and are influenced by external factors. Therefore, in designing interventions to improve the consumption of fruits and vegetables, all effective factors should be addressed.
- 1-Consumption of Sweeteners : An Evolutionary Analysis of Historical Development

“The economic growth over the past two hundred years is unprecedented. So, too, is the growth of demand, i.e. real per capita consumption. Economic theorizing has been eager to discuss why and how a growing output can be maintained. It has shown little interest, however, in the role of the exceptional growth of demand. Only one necessary, yet certainly not sufficient condition for a sustained growth of demand. is usually acknowledged: per capita real income must be rising. ” (Witt 2001: 31)
Full characterization of quantum correlated equilibria

Quantum game theory aims to study interactions of people (or other agents) using quantum devices with possibly conflicting interests. Recently Zhang studied some quantitative questions in general quantum strategic games of growing sizes [19]. However, a fundamental question not addressed there is the characterization of quantum correlated equilibria (QCE). In this paper, we answer this question by giving a sufficient and necessary condition for an arbitrary state ρ being a QCE. In addition, when the condition fails to hold for some player i, we give an explicit positive-operator valued measurement (POVM) for that player to achieve a strictly positive gain of payoff. Finally, we give some upper bounds for the maximum gain by playing quantum strategies over classical ones, and the bounds are tight for some games.
Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory

Though coevolutionary algorithms are currently used for op timization purposes, practitioners are often plagued with difficulties due to the fact th at such systems frequently behave in counter intuitive ways that are not well understoo d. This paper seeks to extend work which uses evolutionary game theory (EGT) as a form of dy namical systems modeling of coevolutionary algorithms in order to begin to answ er questions regarding how these systems work. It does this by concentrating on a partic ular subclass of cooperative coevolutionary algorithms, for which multi-population sy mmetric evolutionary game theoretic models are known to apply. We examine dynamical behav iors of this model in the context of static function optimization, by both formal ana lysis, as well as model validation study. Finally, we begin looking at the effects of varia tion by extending traditional EGT, offering some introductory analysis, as well as model v alidation. In the course of this study, we investigate the effects of parameterized uni form crossover and bit-flip mutation.
Representations of Keypoint-Based Semantic Concept Detection: A Comprehensive Study

Based on the local keypoints extracted as salient image patches, an image can be described as a ¿bag-of-visual-words (BoW)¿ and this representation has appeared promising for object and scene classification. The performance of BoW features in semantic concept detection for large-scale multimedia databases is subject to various representation choices. In this paper, we conduct a comprehensive study on the representation choices of BoW, including vocabulary size, weighting scheme, stop word removal, feature selection, spatial information, and visual bi-gram. We offer practical insights in how to optimize the performance of BoW by choosing appropriate representation choices. For the weighting scheme, we elaborate a soft-weighting method to assess the significance of a visual word to an image. We experimentally show that the soft-weighting outperforms other popular weighting schemes such as TF-IDF with a large margin. Our extensive experiments on TRECVID data sets also indicate that BoW feature alone, with appropriate representation choices, already produces highly competitive concept detection performance. Based on our empirical findings, we further apply our method to detect a large set of 374 semantic concepts. The detectors, as well as the features and detection scores on several recent benchmark data sets, are released to the multimedia community.
A new $F_{\text{ST}}$-based method to uncover local adaptation using environmental variables

- Genome-scan methods are used for screening genome-wide patterns of DNA polymorphism to detect signatures of positive selection. There are two main types of methods: (i) 'outlier' detection methods based on Fst that detect loci with high differentiation compared to the rest of the genomes, and (ii) environmental association methods that test the association between allele frequencies and environmental variables. - We present a new Fst-based genome-scan method, BayeScEnv, which incorporates environmental information in the form of 'environmental differentiation'. It is based on the F-model, but, as opposed to existing approaches, it considers two locus-specific effects; one due to divergent selection, and another one due to various other processes different from local adaptation (e.g. range expansions, differences in mutation rates across loci or background selection). The method was developped in C++ and is avaible at this http URL - Simulation studies shows that our method has a much lower false positive rate than an existing Fst-based method, BayeScan, under a wide range of demographic scenarios. Although it has lower power, it leads to a better compromise between power and false positive rate. - We apply our method to human and salmon datasets and show that it can be used successfully to study local adaptation. We discuss its scope and compare its mechanics to other existing methods.
Protein kinase C (PKC)-δ/-ε mediate the PKC/Akt-dependent phosphorylation of extracellular signal-regulated kinases 1 and 2 in MCF-7 cells stimulated by bradykinin

In this paper the signal transduction pathways evoked by bradykinin (BK) in MCF-7 breast cancer cells were investigated. BK activation of the B(2) receptor provoked: (a) the phosphorylation of the extracellular signal-regulated kinases 1 and 2 (ERK1/2); (b) the translocation from the cytosol to the membrane of the conventional protein kinase C-alpha (PKC-alpha) and novel PKC-delta and PKC-epsilon; (c) the phosphorylation of protein kinase B (PKB/ Akt); (d) the proliferation of MCF-7 cells. The BK-induced ERK1/2 phosphorylation was completely blocked by PD98059 (an inhibitor of the mitogen-activated protein kinase kinase (MAPKK or MEK)) and by LY294002 (an inhibitor of phosphoinositide 3-kinase (PI3K)), and was reduced by GF109203X (an inhibitor of both novel and conventional PKCs); Go6976, a conventional PKCs inhibitor, did not have any effect. The BK-induced phosphorylation of PKB/Akt was blocked by LY294002 but not by PD98059. Furthermore, LY294002 inhibited the BK-provoked translocation of PKC-delta and PKC-epsilon suggesting that PI3K may be upstream to PKCs. Finally, the proliferative effects of BK were blocked by PD98059, GF109203X and LY294002. These observations demonstrate that BK acts as a proliferative agent in MCF-7 cells activating intracellular pathways involving novel PKC-delta/-epsilon, PKB/Akt and ERK1/2.
Testing large-scale (an)isotropy of ultra-high energy cosmic rays

We present a simple yet powerful method to test models of cosmic-ray (CR) origin using the distribution of CR arrival directions. The method is statistically unambiguous in the sense that it is binless and does not invoke scanning over unknown parameters, and general in the sense that it can be applied to any model that predicts a continuous distribution of CRs over the sky. We show that it provides a powerful discrimination between an isotropic distribution and predictions from the ``matter tracer'' model, a benchmark model that assumes small CR deflections and a continuous distribution of sources tracing the distribution of matter in the Universe. Our method is competitive or superior in statistical power to existing methods, and is especially sensitive in the case of relatively few high-energy events. Applying the method to the present data we find that neither an isotropic distribution nor the matter tracer model can be excluded. Based on estimates of its statistical power, we expect that the proposed test will lead to meaningful constraints on models of CR origin with the data that will be accumulated within the next few years by the Pierre Auger Observatory and the Telescope Array.
Expression of myogenic regulatory factors in chicken embryos during somite and limb development

The expression of the myogenic regulatory factors (MRFs), Myf5, MyoD, myogenin (Mgn) and MRF4 have been analysed during the development of chicken embryo somites and limbs. In somites, Myf5 is expressed first in somites and paraxial mesoderm at HH stage 9 followed by MyoD at HH stage 12, and Mgn and MRF4 at HH stage 14. In older somites, Myf5 and MyoD are also expressed in the ventrally extending myotome prior to Mgn and MRF4 expression. In limb muscles a similar temporal sequence is observed with Myf5 expression detected first in forelimbs at HH stage 22, MyoD at HH stage 23, Mgn at HH stage 24 and MRF4 at HH stage 30. This report describes the precise time of onset of expression of each MRF in somites and limbs during chicken embryo development, and provides a detailed comparative timeline of MRF expression in different embryonic muscle groups.
An Investigation on IEEE 802.15.4 MAC Layer Attacks

IEEE 802.15. 4 has been established as a dominant MAC layer protocol for wireless sensor networks (WSNs). Recently the security concepts of sensor networks have quickly gained more significance because of two major factors: widening the range and variety of possible applications and increased implementation rate. Because the nodes are very resource-constrained, the attacks on these networks and detection of the attacks must carefully be considered. This paper dissects the known attacks on wireless sensor networks and also identifies two new attacks: PANId conflict attack, and Guaranteed Time Slot (GTS) attack taking as a basis the IEEE 802.15. 4 MAC protocol for WSN. The attack evaluations are analyzed from the perspectives of the attacker and the network. A detection mechanism for PANId conflict attack is presented, and the simulation results for this attack implementation on ns2 are given. Keywords— IEEE 802.15. 4 MAC, attack, wireless sensor networks, PANId conflict attack, GTS attack.
Rapid, Activity-Induced Increase in Tissue Plasminogen Activator Is Mediated by Metabotropic Glutamate Receptor-Dependent mRNA Translation

Long-term synaptic plasticity is both protein synthesis-dependent and synapse-specific. Therefore, the identity of the newly synthesized proteins, their localization, and mechanism of regulation are critical to our understanding of this process. Tissue plasminogen activator (tPA) is a secreted protease required for some forms of long-term synaptic plasticity. Here, we show tPA activity is rapidly increased in hippocampal neurons after glutamate stimulation. This increase in tPA activity corresponds to an increase in tPA protein synthesis that results from the translational activation of mRNA present at the time of stimulation. Furthermore, the mRNA encoding tPA is present in dendrites and is rapidly polyadenylated after glutamate stimulation. Both the polyadenylation of tPA mRNA and the subsequent increase in tPA protein is dependent on metabotropic glutamate receptor (mGluR) activation. A similar mGluR-dependent increase in tPA activity was detected after stimulation of a synaptic fraction isolated from the hippocampus, suggesting tPA synthesis is occurring in the synaptodendritic region. Finally, we demonstrate that tPA mRNA is bound by the mRNA-binding protein CPEB (cytoplasmic polyadenylation element binding protein-1), a protein known to regulate mRNA translation via polyadenylation. These results indicate that neurons are capable of synthesizing a secreted protein in the synaptic region, that mGluR activation induces mRNA polyadenylation and translation of specific mRNA, and suggest a model for synaptic plasticity whereby translational regulation of an immediate early gene precedes the increase in gene transcription.
Assessing the political landscape: Structure, cognition, and power in organizations.

David Krackhardt Comell University This paper argues that an accurate cognition of informal networks can itself be a base of power, above and beyond power attributable to informal and formal structural positions. To explore this claim, a small entrepreneurial firm was studied. Perceptions of the friendship and advice networks were compared to "actual" networte. Those who had more accurate cognitions of the advice network were rated as more powerful by others in the organization, although accuracy of the friendship network was not related to reputational power. *
Validation of the Davidson Trauma Scale in its original and a new shorter version in people exposed to the F-27 earthquake in Chile

Background On February 27, 2010 (F-27), an earthquake and tsunami occurred having a significant impact on the mental health of the Chilean population, leading to an increase in cases of post-traumatic stress disorder (PTSD). Objectives Within this context, validated for the first time in Chile was the Davidson Trauma Scale (DTS) using three samples (each one consisting of 200 participants), two of them random from the Chilean population. Results Reliability analyses (i.e., α=0.933), concurrent validity (63% of the items are significantly correlated with the criteria variable “degree of damage to home”) and construct validity (i.e., CMIN = 3.754, RMSEA = 0.118, NFI = 0.808, CFI = 0.850 and PNFI = 0.689) indicate validity between regular and good for DTS. However, a new short version of the scale (DTS-SF) created using the items with heavier factor weights, presented better fits (CMIN = 2.170, RMSEA = 0.077, NFI = 0.935, CFI = 0.963, PNFI = 0.697). Discussion Finally, the usefulness of DTS and DTS-SF is discussed, the latter being briefer, valid and having better psychometric characteristics.