Miracle-dz/UniFAR-FTUs huggingface dataset:
Modelling the relative impact of the rivers Scheldt, Rhine, Meuse and Seine on the availability of nutrients in Belgian waters (Southern North Sea) using the 3D coupled physical-biological model MIRO&CO-3D. ICES CM 2004/P:08

There is evidence that nutrients from rivers have a substantial impact on the dynamics of phytoplankton blooms and their extent in the Southern Bight of the North Sea. This region is highly dynamic with water masses resulting from the mixing of Atlantic waters transported through the Straits of Dover and freshwater and nutrient inputs from the Scheldt, the Rhine and Meuse, the Seine, the Thames and other smaller rivers. However, the relative contribution of each river to the nutrient pool is not known. A 3D coupled physical-biological model (MIRO&CO-3D) has been used to assess the relative impact of a hypothetical reduction of the nutrients discharged from the Scheldt, Rhine, Meuse and Seine on the nutrient status of Belgian waters during the last decade. MIRO&CO-3D results from the coupling of the COHERENS 3D hydrodynamic model with the ecological model MIRO. The model has been set up for the region between 4°W (48.5°N) and 52.5°N (4.5°E). This model has been run to simulate the annual cycle of inorganic and organic nutrients, phytoplankton (diatoms & Phaeocystis), bacteria and zooplankton (microzooplankton & copepods) in the Southern Bight of the North Sea under realistic forcing (meteorology and river loads) for the period 1991-2000. The relative contribution of different rivers on the nutrient pool available for biological production is assessed by decreasing separately by 1% the nutrient loads from respectively the Scheldt, the Rhine (and Meuse) and the Seine (and smaller French rivers). This model scenario suggests that, on average for Belgian waters, a 1% reduction of nutrients loads from the river Seine would have a stronger impact on the nutrient (NO3 and PO4) status of Belgian waters than a 1% reduction from the Rhine or from the Scheldt.
New sources of resistance in land races and advance germplasm against Fusarium oxysporum f. sp. ciceris race 2 causal agent of chickpea wilt

Fifty nine land races from 42 countries and 62 elite breeding lines developed at Indian Institute of Pulses Research, Kanpur, were screened against Fusarium wilt (race 2) under sick-field. Among land races the per cent wilted plants at seedling and reproductive stages ranged between 0 to 31.5% and 3.1 to 100%, respectively. Eightland races (ILC8632, ILC8666 ILC10729, ILC0, ILC1313, ILC211, ILC68 andILC0) were found highly resistant.The per centage of early wilting among elite breeding lines consisting of ‘desi’ and ‘kabuli’ types ranged between 0 to 28.5% and late wilting ranged between 0 to 100%. In ‘kabuli’ type chickpea, 10 genotypes (IPCK2012-129, IPCK2012-141, IPCK2012-258, IPCK2012-306,IPCK2012-132, IPCK2012-137, IPCK2012-138, IPCK2012-140, IPCK2012-143, IPCK2012-144)) and in ‘desi’ type, 15 genotypes(IPC2012-03, IPC2012-10, IPC2012-20 and IPC2012-28, IPC2012-02, IPC2012-04, IPC2012-05, IPC2012-13, IPC2012-18, IPC2012-19, IPC2012-21, IPC2012-24, IPC2012-25, IPC2012-26 and IPC2012-29) were found highly resistant/ resistant. Local severity index (LSI) was higher for land races (71.7%) compared to elite breeding lines (27.8%). Among elite breeding lines least LSI was noticed in ‘desi’ type (23.6%) in comparison to ‘kabuli’ type genotypes (32.1%). In the present study, high level of resistance was observed in elite breeding lines compared to land races. The genotypes found resistant to wilt in the present study may be exploited for development of Fusarium wilt resistant varieties.
Diversity of ejaculated sperm proteins in Moxotó bucks (Capra hircus ) evaluated by multiple extraction methods

This study aimed to develop protocols for the extraction of sperm proteins from Moxotó goats (Capra hircus) and to compare the resulting proteomic maps. The sperm proteins were isolated using an extraction buffer containing 7 M urea and 2 M thiourea, 20 mM DTT, and one of the following detergents: 1% or 4% CHAPS; 1% or 4% SDS; 1% or 4% Triton X-100; or a combination of CHAPS and SDS. The 1-DE and 2-DE profiles of the isolated proteins revealed that the various isolation methods were efficient. Qualitative and quantitative differences in the 1-DE and 2-DE profiles were observed. 2-DE maps indicated that the amount and diversity of proteins visualized depended on the detergent that was used. Furthermore, this work revealed that the combination of detergents increased the resolution of some spots and retained the characteristics of the individual detergents, depending on their concentrations.
Absorption Enhancement in Lossy Transition Metal Elements of Plasmonic Nanosandwiches

Combination of catalytically active transition metals and surface plasmons offers a promising way to drive chemical reactions by converting incident visible light into energetic electron-hole pairs acting as a mediator. In such a reaction enhancement scheme, the conversion efficiency is dependent on light absorption in the metal. Hence, increasing absorption in the plasmonic structure is expected to increase generation of electron-hole pairs and, consequently, the reaction rate. Furthermore, the abundance of energetic electrons might facilitate new reaction pathways. In this work we discuss optical properties of homo- and heterometallic plasmonic nanosandwiches consisting of two parallel disks made of gold and palladium. We show how near-field coupling between the sandwich elements can be used to enhance absorption in one of them. The limits of this enhancement are investigated using finite-difference time-domain simulations. Physical insight is gained through a simple coupled dipole analysis of the nanostructure. For small palladium disks (compared to the gold disk), total absorption enhancement integrated over the near visible solar AM 1.5 spectrum is 8-fold, while for large palladium disks, similar in size to the gold one, it exceeds three.
Model predictive for Mobile robot control

—This paper proposes a Model Predictive Controller (MPC) for control of a P2AT mobile robot. MPC refers to a group of controllers that employ a distinctly identical model of process to predict its future behavior over an extended prediction horizon. The design of a MPC is formulated as an optimal control problem. Then this problem is considered as linear quadratic equation (LQR) and is solved by making use of Ricatti equation. To show the effectiveness of the proposed method this controller is implemented on a real robot. The comparison between a PID controller, adaptive controller, and the MPC illustrates advantage of the designed controller and its ability for exact control of the robot on a specified guide path.
Authentication of Short Messages from Social Networks Recurrent Artificial Neural Networks

500 tweets from Twitterare collectedby using the software fromeach of 34 authorsthat meet certain criteria. D 17000 tweets is preprocessed to extract frequencies of artificial neural networks are more successful distinguishing two classes, for N authors, N×N neural networks are trained for pair classification. These experts then organized as N special (CANNT) to aggregate decisions of these NXN experts. T the accuracy of author authentication, a novel technique, batch identification is used and up to100% accuracy is achieved. s, and This work aims the study of developing a system which is able to operate for finding the author of anonymous messages by providing to the system po of suspected users on social media and choosing matched author. Related studies investigated mostly focusing on longer text documents rather than what is intended to do by this research (Can, 2012). This study is important by combining stylometry which is more than a century science with current computational capacity for short text messages. The stylometry regarding text classification of short social network messages, appropriate methods applied in relevant and contemporary investigated as the base of this study. Using Nvivo, ataset consists of 72 features. Since wise competing teams hen to improve sts written by a list the
On the connectivity of the cosmic web: theory and implications for cosmology and galaxy formation

Cosmic connectivity and multiplicity, i.e. the number of filaments globally or locally connected to a given cluster is a natural probe of the growth of structure and in particular of the nature of dark energy. It is also a critical ingredient driving the assembly history of galaxies as it controls mass and angular momentum accretion. The connectivity of the cosmic web is investigated here via the persistent skeleton. This tool identifies topologically the ridges of the cosmic landscape which allows us to investigate how the nodes of the cosmic web are connected together. When applied to Gaussian random fields corresponding to the high-redshift universe, it is found that on average the nodes are connected to exactly κ = 4 neighbours in two dimensions and ∼6.1 in three dimensions. Investigating spatial dimensions up to d = 6, typical departures from a cubic lattice κ = 2d are shown to scale like the power 7/4 of the dimension. These numbers strongly depend on the height of the peaks: the higher the peak the larger the connectivity. Predictions from first principles based on peak theory are shown to reproduce well the connectivity and multiplicity of Gaussian random fields and cosmological simulations. As an illustration, connectivity is quantified in galaxy lensing convergence maps and large dark haloes catalogues. As a function of redshift and scale the mean connectivity decreases in a cosmology-dependent way. As a function of halo mass, it scales like 10/3 times the log of the mass. Implications on galactic scales are discussed.
Intrinsic remote conditioning of the myocardium as a comprehensive cardiac response to ischemia and reperfusion

We have previously shown that distal anterior wall ischemia/reperfusion induces gene expression changes in the proximal anterior myocardial area, involving genes responsible for cardiac remodeling. Here we investigated the molecular signals of the ischemia non-affected remote lateral and posterior regions and present gene expression profiles of the entire left ventricle by using our novel and straightforward method of 2D and 3D image reconstruction. Five or 24h after repetitive 10min ischemia/reperfusion without subsequent infarction, pig hearts were explanted and myocardial samples from 52 equally distributed locations of the left ventricle were collected. Expressional changes of seven genes of interest (HIF-1α; caspase-3, transcription factor GATA4; myocyte enhancer factor 2C /MEF2c/; hexokinase 2 /HK2/; clusterin /CLU/ and excision repair cross-complementation group 4 /ERCC4/) were measured by qPCR. 2D and 3D gene expression maps were constructed by projecting the fold changes on the NOGA anatomical mapping coordinates. Caspase-3, GATA4, HK2, CLU, and ERCC4 were up-regulated region-specifically in the ischemic zone at 5 h post ischemia/reperfusion injury. Overexpression of GATA4, clusterin and ERCC4 persisted after 24 h. HK2 showed strong up-regulation in the ischemic zone and down-regulation in remote areas at 5 h, and was severely reduced in all heart regions at 24 h. These results indicate a quick onset of regulation of apoptosis-related genes, which is partially reversed in the late phase of ischemia/reperfusion cardioprotection, and highlight variations between ischemic and unaffected myocardium over time. The NOGA 2D and 3D construction system is an attractive method to visualize expressional variations in the myocardium.
Non-Academic Self- Concept and Academic Achievement:The Indirect Effect Mediated by Academic Self-concept

The objective of this study is to confirm the roles of academic self-concept as a mediator for non-academic selfconcept and academic achievement. The research is based on 493 tenth grade students and academic achievement is measured based on the students’ performance in the Lower Secondary Assessment. The data are then analysed using structural equation modelling. Results demonstrated that the model of academic achievement fits well with the data. Academic self-concept and non-academic self-concept produce impacts on academic achievement. Academic self-concept is a stronger predictor than non-academic self-concept for academic achievement. Academic self-concept results only in direct effect on academic achievement, whereas non-academic self-concept has both direct effect and indirect effect on academic achievement. The indirect effect is mediated by academic self-concept. The findings suggest the need to create awareness among educators, parents and society on the importance of academic self-concept and non-academic self-concept in facilitating student academic achievement. Educators should also emphasize the significant contribution of non-academic self-concept in teaching and learning as it can generate indirect effects on academic achievement through academic self-concept which acts as a mediator. ©Emerging Academy Resources
Reliability Based Design Optimization with LS-OPT for a Metal Forming Application

The purpose of this paper is to account for uncertainties in the manufacturing processes of metal forming in order to evaluate the random variations with the aid of FE-simulations. Various parameters of the Finite-Element model describing the investigated structural model are affected by randomness. This, of course, leads to a variation of the considered simulation responses such as stresses, displacements, and thickness reductions. On this, for the simulation engineer basic questions arise regarding: (1) the dimension of the range of variation of the simulation responses (2) the significance/contribution of the (input) parameters with respect to specific responses and (3) the reliability of the process design with respect to constraints (failure, damage, requirements, .). In order to find solutions to these questions several methodologies may be applied that are available in the commercial optimization software LS-OPT (Stander et al. [5]). Some of the methodologies, such as Monte Carlo simulation, meta-model based Monte Carlo simulation, stochastic fields, are discussed in this paper and are demonstrated by means of a metal forming problem. For this, a non-robust design with respect to the specified constraints has been detected. By utilizing reliability based design optimization (RBDO) through LS-OPT, the failure probability (violation of constraints) could be reduced significantly.
Parallel computation of coupled atmosphere and ocean model: The case study of Typhoon 9918 in the Yatsushiro sea

メソ気象モデル(MM5)，海洋モデル(POM)を連結系として数値計算する並列計算システム(BeowulfSystem)を構築し，八代海における台風9918による高潮の追算を実施し，並列計算効率，モデルの適用性に関する基礎的な検討を行った。 地上風の風域場は，簡単化された台風モデルとは異なり，陸上地形の影響が考慮された再現結果が得られた。 高潮計算においては，八代港における実測値と数値シミュレーション結果とを比較し，モデルの適用性を確認した。 しかし，災害の発生した湾奥の松合地区での計算最大水位は過少評価であった。 これは，数値計算に風波の影響を考慮していないためであると考えられる。
A Compact Circularly Polarized Microstrip Antenna with Bandwidth Enhancement

A novel compact circularly polarized microstrip antenna (CPMA) with bandwidth enhancement is proposed and studied. By employing capacitive loading and inductive loading, the size miniaturization is achieved. The cross-shaped aperture in the ground plane is able to excite two orthogonal modes. The near-equal amplitudes and 90 ◦ phase difference between these two modes are realized by properly designing the feed network, i.e., a 0 ◦ -90 ◦ hybrid comprising a 3-dB Wilkinson power divider cascaded with a 90 ◦ phase shifter. The proposed antenna exhibits a global bandwidth of 11.5% ranging from 1.88 GHz to 2.11 GHz with an overall size 50 mm × 50 mm × 6. 8m m (0.33λ0 × 0.33λ0 × 0.045λ0). The global bandwidth is defined where return loss is larger than 10 dB, broadside axial ratio (AR) smaller than 3 dB, and gain above 0 dBic.
Oil Resource Curse Syndrome: Empirical Evidence from Nigeria

The paper investigates the natural resource curse hypotheses in oil – rich Nigeria. The study used time series data on real GDP, contribution of oil rents, contribution of agriculture and manufacturing in real GDP as well as exchange rates and FDI. The VAR models are employed to estimate the relationships, the result of the study is consistent with previous studies for Nigeria. However, empirical evidence suggests that the was an elements of Dutch disease syndrome in the Nigerian economy during the last four decades which can be attributed to internal factors such as policy failure and corruption rather than the happenings in the international oil markets. We conclude that surge in oil revenues led to distortions in growth path of the Nigerian economy, before the discovery of oil, Nigeria was at par with some middle income OECD and high income developing countries, but four decades after the discovery of oil, Nigeria was pushed back behind all those countries; therefore, the study did not out rightly conclude that oil did contribute positively to growth of Nigerian economy, but it distorted the workings of the economy by encouraging non-coherent policies and unsustainable spending as well as large scale corruption and struggle for oil rents among the political class which cast a big question as to whether oil is a blessing or a curse in Nigeria.
Venezuelan Children Temperament Styles and Comparison with their United States Peers

Temperament styles of 411 Venezuelan children are described in reference to possible gender and age differences and compared with those of 2589 U.S. children in light of Jung’s theory of temperament as modified by Myers and Briggs, one that highlights four bipolar qualities: extroversion-introversion, practical-imaginative, thinking-feeling and organized-flexible styles. Venezuelan children generally prefer extroverted to introverted style, practical to imaginative styles, thinking to feeling styles, and organized to flexible styles. Gender differences are seen on thinking-feeling. In contrast to males, females are more likely to prefer a feeling style. Age differences are seen only on organized-flexible styles. In contrast to U.S. children, Venezuelan children express higher preferences for extroverted, practical, thinking, and organized styles. Results are discussed in light of possible contextual differences in child development and qualities associated with temperamental styles and its practical implication for parenting and teaching. However, the biological base for temperament should not be overlooked.
Methanol Adsorption on Graphene

The adsorption energies and orientation of methanol on graphene are determined from first-principles density functional calculations. We employ the well-tested vdW-DF method that seamlessly includes dispersion interactions with all of the more close-ranged interactions that result in bonds like the covalent and hydrogen bonds. The adsorption of a single methanol molecule and small methanol clusters on graphene is studied at various coverages. Adsorption in clusters or at high coverages (less than a monolayer) is found to be preferable, with the methanol C-O axis approximately parallel to the plane of graphene. The adsorption energies calculated with vdW-DF are compared with previous DFT-D and MP2-based calculations for single methanol adsorption on flakes of graphene (polycyclic aromatic hydrocarbons). For the high coverage adsorption energies, we also find reasonably good agreement with previous desorption measurements.
Mathematical Modeling of the Relation between Electrospun Nanofibers Characteristics and the Process Parameters

Electrospinning, the most favorable process of obtaining nanofibers, is capable of processing solution or melt polymers, ceramic materials or metals in many morphological variants, thus providing diverse functionalities. The chapter reviews the main ways in which nanofibers’ characteristics can be influenced by solution parameters, process parameters and ambient conditions, afterwards focusing on the role of some of the most significant electrospinning parameters (applied voltage, flow rate, nozzle to collector distance) on the diameter of the nanofibers. Experimental studies to model the influence of process parameters in the case of electrospinning polyetherimide solutions are presented. Response surface methodology and MATLAB simulation software have been used to obtain the mathematical models that indicate the most favorable parameters.
Source process and stress change associated with the 11 January, 1997 (Mw=7.1) Michoacán, Mexico, inslab earthquake

We study the source characteristics and the associated coseismic stress change of the January 11, 1997 Michoacan earthquake, based on teleseismic, regional and near-source recordings. This event was located just beneath the ruptured zone of the 1985 Michoacan thrust event. From the inversion of teleseismic recordings, we obtain a nearly-vertical faulting at 35 km depth, a total source duration of 15 sec, a moment magnitude of Mw=7.1, and a mean rupture velocity of 2.8 km/sec. An analysis of teleseismic and local seismograms shows that the rupture had a strong directivity to the southeast, with a rather complex source-time function with two main subevents and a total duration of 13 sec. The dislocation distribution obtained from 2D kinematic linear inversion, using both local strong motion and broad-band teleseismic data, shows a complex rupture pattern with the main seismic moment release occurring in the southwest portion of the fault. A comparison between the coseismic Coulomb failure stress change during the main shock, and the location and mechanism of the aftershocks, suggests that post-event seismicity may have been triggered by the stress changes due to the main event.
Allan Variance Estimated by Phase Noise Measurements

Abstract : For short measurement times, the Allan (or two-sample) variance can be determined from the phase noise using the mathematical conversion between time and frequency domain. This provides us with a useful tool to obtain the very short-term frequency stability in the time domain, which is difficult for a time-interval counter to measure because of its resolution limitations. Before carrying out the conversion, bias from the measurement system and uncorrelated noises to the DUT (device under test), e.g., power noise and environmental perturbations are considered and corrected in the raw data. By doing this, the proper characteristic of the DUT seems to be revealed reasonably. If the above-mentioned bias and noises were not corrected, the generated variance would be apart from the corrected one irregularly, depending on the sampling time. In this paper, both the numerical integration and the power-law model are used to practice the conversion.
IMPACT OF DATA TRANSFORMATION ON THE PERFORMANCE OF DIFFERENT CLUSTERING METHODS AND CLUSTER NUMBER DETERMINATION STATISTICS FOR ANALYZING GENE EXPRESSION PROFILE DATA

We have assessed the impact of 13 different data transformation methods on the performance of four types of clustering methods (partitioning (K-mean), hierarchical distance (Average Linkage), multivariate normal mixture, and non-parametric kernel density) and four cluster number determination statistics (CNDS) (Pseudo F, Pseudo t2, Cubic Clustering Criterion (CCC), and Bayesian Information Criterion (BIC», using both simulated and real gene expression profile data. We found that Square Root, Cubic Root, and Spacing transformations have mostly positive impacts on the performance of the four types of clustering methods whereas Tukey's Bisquare and Interquantile Range have mostly negative impacts. The impacts from other transformation methods are clustering method-specific and data type-specific. The performance of CNDS improves with appropriately transformed data. Multivariate Mixture Clustering and Kernel Density Clustering perform better than K-mean and Average Linkage in grouping both simulated and real gene expression profile data.