Miracle-dz/UniFAR-FTUs huggingface dataset:
In vitro effect of the adding of sodium hydroxide on rumen gas production of whole barley grain

The purpose of this study was to examine the effect of treatment of whole barley grain (WBG) with sodium hydroxide (NaOH) on in vitro rumen gas production parameters. Experimental treatments included untreated whole barley grain (BControl) and treated barley grain with NaOH+water (35 g + 220 ml/kg DM WBG) for 30 days (BNaOH). In vitro gas production technique was used to determine the gas production parameters of the samples. The amount of produced gas at each time of incubation in each glass serum bottle was taken as the gas production parameter. Results of the in vitro technique revealed that alkali treatment of WBG caused an increase in the asymptotic gas volume (b) versus BControl (122.157 and 130.969 ml, respectively). Constant rate of gas production (c) significantly decreased by BNaOH compared with BControl (0.0247 and 0.0351 ml/h, respectively). Furthermore, treatment of WBG caused a significant increase in the halftime of maximal gas production (t1/2) versus BControl (28.05 and 19.74 h, respectively). The finding of the present study leads us to conclude that treatment of WBG with NaOH improved in vitro gas production parameters.
Stochastic performances estimate of a universal and flexible power management system for the future European electricity network

The project is a European Project of the 6 Framework Programme co-financed in the sustainable energy systems call, and it proposes an innovative modular power converter architecture that can satisfy the requirements of Future European Electricity Network. The UNIFLEX-PM system is characterised by a three-phase architecture, adopting multi-level converters (IGBT technology based), which allows a bidirectional power flow.
Bernstein Polynomials of a Smooth Function Restricted to an Isolated Hypersurface Singularity

Let f, g be two germs of holomorphic functions on C n such that f is smooth at the origin and (f, g) defines an analytic complete intersection (Z, 0) of codimension two. We study Bernstein polynomials of f associated with sections of the local cohomology module with support in X = g −1 (0), and in particular some sections of its minimal extension. When (X, 0) and (Z, 0) have an isolated singularity, this may be reduced to the study of a minimal polynomial of an endomorphism on a finite dimensional vector space. As an application, we give an effective algorithm to compute those Bernstein polynomials when f is a coordinate and g is non-degenerate with respect to its Newton boundary.
Increasing effective students’ engagement in study

The study stresses out the interest that pedagogy specialist’s show towards education and mostly tries to find proper methods to improve pre-service teacher training. A career in teaching and education has become unattractive for new generations of graduates and we will point out the reasons that led to a low interest for this career: low social value of teaching profession, low income, and lack of students` interest for learning. More and more specialists draw attention upon the fact that education and educational institutions are in a serious crisis. It is a warning for both theoreticians and practitioners. We believe that education is more than a science; it contains also elements of art because it involves judgements, feelings and values. It is necessary for future teachers to be aware of the role and importance of metacognitive self-training in becoming good professionals. Keywords: Didactic carrier, formation, study, improving formation, metacognition, empiric research.
For Novel Disease Diagnostic Markers in Blood RNA

Junko Takahashi1 and Hitoshi Iwahashi2 1Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki, Japan. 2Faculty of Applied Biological Sciences, Gifu University, Gifu, Japan. *Corresponding author: Junko Takahashi, Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8566, Japan, Tel: +81298626705, Fax +81298612706; E-mail: junko-takahashi@aist.go. jp
Body Composition Changes among Medical Students Following Matriculation

Purpose: Participation in medical education has been associated with an increased propensity for poor health in other studies. Information regarding the body composition and physical activity patterns of medical students and how they are affected by the rigors of medical school is lacking in the current literature. We sought to assess changes in body composition and physical activity levels of medical students during the first three years of the curriculum. Methods: Using anthropometric measurements, bioelectrical impedance analysis and a validated physical activity questionnaire, we measured 44 medical students upon matriculation, at the end of the preclinical curriculum (16 months after matriculation) and at the completion of the third year of clinical rotations (40 months after matriculation). Results: The 44 subjects did not exhibit significant changes in weight, body mass index (BMI), or any measures of the various measures of body composition. However, for the 24 female subjects a negative correlation was found between the first energy expenditure measurement and the percent total body fat (p= 0.02, r= -0.49). There was also a negative relationship in the females between the second energy expenditure measurement and the percent total body fat (p= 0.00, r= -0.63). Finally, lower percent TBF was correlated with higher energy expenditure at the third measurement (p= 0.40, r = -0.43). For male subjects, there was no significant correlation between weight, BMI or percent TBF and energy expenditure. Conclusion: Our results indicate that medical school may not necessarily be as detrimental to the health and activity profiles of medical students as is popularly believed. These findings are contradictory to most studies of medical student health and address the need for further prospective studies of health in this population. Lower percent TBF in female subjects was consistently correlated with higher selfreported energy expenditure. This finding was expected, as sedentary lifestyles are associated with overweight and obesity.
What happened to the legacy from London 2012? A sociological analysis of the processes involved in preparing for a grassroots sporting legacy from London 2012 outside of the host city

Abstract Preparations for London 2012 included promises for a sporting legacy across Britain. APS data suggest that, despite a slight spike in 2012, we have not experienced the rise in participation promised. The importance of preparations for legacy were well documented but little research has examined these processes. We examine planning for sporting legacy within a non-Olympic city in England, Birmingham. Thirty-Seven semi-structured interviews were conducted with people delivering sport in Birmingham to provide a figurational analysis of relationships involved. The change in government during the economic recession saw budget cuts and a reduction in sport development personnel. Whilst various organisations struggled financially, others wanted to link to legacy. This increase in groups involved led to confusion and the unintended outcome of ‘initiativitis’. In trying to leverage legacy, a strategic approach to managing potential opportunities with clear communication of opportunities is vital. A belief in inherent inspiration cannot be relied upon.
All weather IASI single field-of-view retrievals: case study – validation with JAIVEx data

Abstract. Atmospheric thermodynamic parameters, such as atmospheric temperature and moisture profiles, cloud optical/microphysical properties, and surface properties are basic meteorological variables for weather forecasting. In addition, they are critical parameters in tropospheric chemistry studies. A physical, geophysical parameter retrieval scheme dealing with cloudy and cloud-free radiances observed with satellite ultraspectral infrared sounders has been developed to determine simultaneously surface, atmospheric thermodynamic, and cloud microphysical parameters. A one-dimensional variational (1-D Var.) multivariable inverse solution of the radiative transfer equation is used to iteratively improve a background state defined by eigenvector regression. This algorithm has been applied to data from the Infrared Atmospheric Sounding Interferometer (IASI) on the EUMETSAT Metop-A satellite. The IASI retrieved parameters presented herein are from radiance data gathered during the Joint Airborne IASI Validation Experiment (JAIVEx). JAIVEx provided intensive aircraft observations obtained from airborne Fourier Transform Spectrometer (FTS) systems, such as the NPOESS Airborne Sounder Testbed – Interferometer (NAST-I), in-situ measurements, and dedicated dropsonde and radiosonde measurements for the validation of the IASI products. Here, IASI atmospheric profile retrievals are compared with those obtained from dedicated dropsondes, radiosondes, and the airborne FTS system. The IASI examples presented here demonstrate the ability to retrieve fine-scale horizontal features with high vertical resolution from satellite ultraspectral sounder radiance spectra.
A REVIEW OF ECONOMETRIC ESTIMATION OF CONSUMER DEMAND FOR AUTOMOBILES AND THE COUNTRY OF ORIGIN (COO) EFFECTS

Abstract. The demand for automobiles has always been an important area for the application of various theoretical econometric models and the automotive industry remains to be the leading export sector in Turkey. This paper surveys a range of important developments in the modeling and estimation of demand for new automobiles in various regions like the U.S., Europe, and Turkey. The applied econometrician can acquire a good perspective when constructing such a model and deciding on the most appropriate econometric estimation technique. However, the applied econometrician is cautioned against some of the difficulties in modeling and forecasting the demand for automobiles. Since the Country of Origin (COO) effect is known to be an important factor in explaining the demand for products including automobiles, we also review the marketing literature investigating the consumers’ biases about products related to the country in which they are made.
Negative Group Velocity in a Split Ring Resonator-Coupled Microstrip Line

The dispersive behaviour of an artiflcial Transmission Line is investigated demonstrating the existence of a negative group velocity region. More speciflcally, the propagation of amplitude modulated signals in a microstrip line coupled with Split Ring Resonators is analyzed, investigating the in∞uence of the propagating pulse shape on the possibility to observe a negative group delay.
Characterization of geometry and depleting carrier dependence of active silicon waveguide in tailoring optical properties

Changes in refractive index and the corresponding changes in the characteristics of an optical waveguide in enabling propagation of light are the basis for many modern silicon photonic devices. Optical properties of these active nanoscale waveguides are sensitive to the little changes in geometry, external injection/biasing, and doping profiles, and can be crucial in design and manufacturing processes. This paper brings the active silicon waveguide for complete characterization of various distinctive guiding parameters, including perturbation in real and imaginary refractive index, mode loss, group velocity dispersion, and bending loss, which can be instrumental in developing optimal design specifications for various application-centric active silicon waveguides.
S Y ] 2 1 M ay 2 01 8 Blind IdentificationofFullyObservedLinearTime-Varying Systemsvia SparseRecovery

Discrete-time linear time-varying (LTV) systems form a powerful class of models to approximate complex dynamical systems with nonlinear dynamics for the purpose of analysis, design and control. Motivated by inference of spatio-temporal dynamics in breast cancer research, we propose a method to efficiently solve an identification problem for a specific class of discrete-time LTV systems, in which the states are fully observed and there is no access to system inputs. In addition, it is assumed that we do not know on which states the inputs act, which can change between time steps, and that the total number of inputs is sparse over all states and over time. The problem is formulated as a compressive sensing problem, which incorporates the effect of measurement noise and which has a solution with a partially sparse support. We derive sufficient conditions for the unique recovery of the system model and input values, which lead to practical conditions on the number of experiments and rank conditions on system outputs. Synthetic experiments analyze the method’s sensitivity to noise for randomly generated models.
SASHIMI: Secure Aggregation via Successively Hierarchical Inspecting of Message Integrity on WSN

Aggregation schemes for reducing transmission cost have been proposed for wireless sensor networks for a long time. Aggregated results can be easily altered by adver- saries since sensors are prone to being captured in a harsh environment. Hence, several secure data aggregation schemes have been proposed to solve this problem. Many schemes ensure data integrity during aggregation procedures, but most of them are post-active since integrity can only be confirmed after the data reaches the base station. Another limitation is that the network topology is assumed to be fixed. However, this assumption violates the characteristic of sensor networks. In this paper, we present a secure data aggrega- tion scheme called SASHIMI. SASHIMI utilizes successively hierarchical inspecting of message integrity during aggregation. If attacks arise during aggregation, attacks can be detected within two levels of the hierarchal tree structure. In other words, penalty and overhead caused by attacks can be reduced. In average, SASHIMI incurs only O(n) communication cost where n is the number of nodes. In the case of attacks, SASHIMI performs better than existing schemes. Moreover, SASHIMI supports dynamic network topology. Finally, a comprehensive analysis demonstrates that SASHIMI is more secure and efficient than other schemes. keyword: Wireless Sensor Network; Data aggregation; Data integrity
Autonomous and/or institutionalized social movements? Conceptual clarification and illustrative cases

Case studies of urban squatting in the United States and The Netherlands, and the fight against sexual violence in Spain and in The Netherlands, form the empirical basis of an analysis of the features and development of autonomous and institutionalized social movements, and the interaction between them. Autonomous and institutionalized social movements have different strengths that they derive from characteristics that are not compatible. Nevertheless, a dynamic is possible that combines the strengths of both models. It provides synergy between self-contained autonomous and institutionalized movements, without imposing trade-offs. Political opportunity theory suggests that such a ‘dual movement structure’ is most relevant when the political system is selectively open. Interaction between the movements is conditioned by the mainstreaming potential of the issue or interest that is at stake. Even when relations are tense, movements can create opportunities for each other. Autonomous movements are able to retain a repertoire of disruptive actions when lobbying is the more popular option. An autonomous movement can benefit from the legitimacy and supporting network engendered by an institutionalized movement, pioneering work done by an autonomous movement can inspire an institutionalized counterpart. Autonomous movements can provide a critical voice when co-optation occurs.
A Novel Fuzzy Support Vector Machine and Its Application in the Selection of Logistics Service Providers

Support vector machine (SVM) lacks the ability to judge the different importance of sample points, so it may reduce the classification accuracy in pattern recognition. In order to solve this problem, by using SVM and fuzzy information of the sample points, a novel fuzzy support vector machine is constructed. The simulation experiment shows that the classification results of the new algorithm are more accurate than the traditional SVM and the normal fuzzy support vector machine (FSVM). Finally, the novel FSVM is used in the selection process of the third-party logistics service provider of a company to show its effectiveness.
Distribution of Particulate Matter in Cawthorne Channels Air Basin in Nigeria

The concentrations of Particulate Matter (PM) were determined in tropical wetlands air basin of Cawthorne Channel, Awoba and Krakrama. The sampling was performed with well calibrated equipment (A MultiRAE PLUS (PGM – 50), a programmable Multi Gas monitor with an electrochemical sensor). Parameters measured were particulate matter with 1 µm, 2.5 µm (PM 2.5 ), 7 µm (PM 7 ) , 10 µm (PM 10 ) and Total suspended particulate (TSP). Seasonal variations were displayed by all fractions of particulate matter. TSP at Cawthorne Channels was observed, with very high concentration in January (346.1 µg/m 3 ) at the upwind and (401.7 µg/m 3 ) downwind in dry season. This was followed by wet season measurement. The PM 10 results at Cawthorne Channels also showed strong seasonal variations with very high concentration in January (313.6 µg/m 3 ) at the upwind and (367.5µg/m 3 ) downwind. Of all the respirable particulate size fractions studied, allowable International Standard according to USEPA (1990), was exceeded in PM 10 and PM 7 . PM 2.5 had values that were generally below 60.0 µg/m 3 while PM 1 had values below 10.0 µg/m 3 . The TSP levels exceeded 250.0 ug/m 3 , being Nigerian National allowable limit. The respirable particulate matter had no statistical difference between the upwind and downwind directions (p< 1) 0.05 .
The XXL Survey - IX. Optical overdensity and radio continuum analysis of a supercluster at z = 0.43

We present observations with the Karl G. Jansky Very Large Array (VLA) at 3 GHz (10 cm) toward a sub-field of the XXL-North 25 deg(2) field targeting the first supercluster discovered in the XXL Survey. The structure has been found at a spectroscopic redshift of 0.43 and extending over 0.degrees 35x0.degrees 1 on the sky. The aim of this paper is twofold. First, we present the 3 GHz VLA radio continuum observations, the final radio mosaic and radio source catalogue, and, second, we perform a detailed analysis of the supercluster in the optical and radio regimes using photometric redshifts from the CFHTLS survey and our new VLA-XXL data. Our final 3 GHz radio mosaic has a resolution of 3 ''. 2 x 1 ''. 9, and encompasses an area of 41'x41' with rms noise level lower than similar to 20 mu Jy beam(-1). The noise in the central 15'x15' region is approximate to 11 mu Jy beam(-1). From the mosaic we extract a catalogue of 155 radio sources with signal-to-noise ratio (S/N) >= 6, eight of which are large, multicomponent sources, and 123 (79%) of which can be associated with optical sources in the CFHTLS W1 catalogue. Applying Voronoi tessellation analysis (VTA) in the area around the X-ray identified supercluster using photometric redshifts from the CFHTLS survey we identify a total of seventeen overdensities at z(phot) = 0.35-0.50, 7 of which are associated with clusters detected in the XMM-Newton XXL data. We find a mean photometric redshift of 0.43 for our overdensities, consistent with the spectroscopic redshifts of the brightest cluster galaxies of seven X-ray detected clusters. The full VTA-identified structure extends over similar to 0.degrees 6x0.degrees 2on the sky, which corresponds to a physical size of similar to 12x4 Mpc(2) at z = 0.43. No large radio galaxies are present within the overdensities, and we associate eight (S/N > 7) radio sources with potential group/cluster member galaxies. The spatial distribution of the red and blue VTA-identified potential group member galaxies, selected by their observed g -r colours, suggests that the clusters are not virialised yet, but are dynamically young, as expected for hierarchical structure growth in a Lambda CDM universe. Further spectroscopic data are required to analyse the dynamical state of the groups.
The Study of REMD Simulation of SEB-Binding Repetitive Peptide Sequences

We investigated whether the conformational differences of modified peptides play a role for affinity or not. For this purpose, we have performed the replica exchange molecular dynamic simulation (REMD) to obtain the conformational states and secondary structural propensities of repetitive peptide sequences changed the affinity of binding to staphylococcal enterotoxin B (SEB). The results obtained from REMD simulations have shown that the secondary structures of these repetitive peptide sequences were mainly random coil, bend and turn structures with a small amount of helix and β-bridge structures for all temperatures. Besides it was shown that, with repeating the sequence, while the percentage of random coil structures decreased, the ones of bend structures increased. These results are consistent with the ones which obtained from circular dicroism spectroscopy. In terms of principal component analysis (PCA), the free energy landscapes of peptide sequences were obtained and found several local minima. The secondary structures corresponding with these minima have mainly coil, turn and bend structures for both peptides. In addition to these dominant structures considerable amount of helix and β-bridge structures were also outstanding. Its observed that while the number of repetition of peptide sequence increases, the percentage of random coil structures are decreases and this transformation in the random coil structures emerges in the form of increases in the rates of bend, turn, helix and β-bridge structures with the chosen temperature and region. The results pointed that it was not monitored a directly relationship between the affinity and secondary structures propensities of repetitive peptides.
Influenza A Virus NS1 Protein Suppresses JNK1-Dependent Autophagosome Formation Mediated by Rab11a Recycling Endosomes

Autophagy is an essential process for cellular metabolism and homeostasis, but also functions as one of innate immune responses against pathogen infection. However, in contrast to cellular metabolism and homeostasis pathways, less is known about how virus infection leads to autophagosome formation. Here, we showed that influenza A virus NS1 protein inhibits the formation of autophagosomes. The autophagosome formation was induced by infection with NS1 mutant virus lacking the dsRNA-binding activity for inhibition of innate immune responses (R38AK41A) or the activation of PI3K-Akt signaling pathway (Y89F). R38AK41A mutant infection induced phosphorylation of JNK1 and up-regulated the expression of autophagy-related genes which are downstream of JNK1 signaling pathway. We also found that the amount of phosphorylated TSC2, which activates mTOR, increased in wild type-infected cells but not in Y89F mutant-infected cells. These findings suggest that NS1 inhibits the autophagosome formation through both the inhibition of JNK1 and the activation of PI3K-Akt-mTOR pathway. Further, viral ribonucleoprotein (vRNP) complexes were selectively sequestered into autophagosomes, and knockdown of Rab11a, which is responsible for the apical transport of vRNP complexes, impaired not only engulfment of vRNP complexes by autophagosomes but also the formation of autophagosomes in R38AK41A mutant-infected cells. This indicates that Rab11a-positive recycling endosomes function as a donor membrane for the phagophore elongation and an autophagic receptor for the selective engulfment of viral RNP complexes. Based on these results, we propose that NS1 inhibits JNK1-mediated autophagy induction and the sequestration of vRNP complexes into autophagosomes.