Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Analysis of NREL 5 MW Wind Turbine : A Study Towards a Better Understanding of Wake Characteristic and Torque Generation Mechanism

With the increased feasibility of harvesting offshore wind energy, scale of wind turbines is growing rapidly and there is a trend towards clustering together higher number of turbines in order to harvest maximum yield and to leave a smaller footprint on the environment. This causes complex flow configurations inside the farms, the study of which is essential to making offshore wind energy a success. The present study focuses on NREL 5MW wind turbine with the following objectives (a)To compare Sliding Mesh Interface and Multiple Reference Frame modeling approaches and their predictive capabilities in reproducing the characteristics of flow around the full scale wind turbine. (b)To get a better insight into wake dynamics behind the turbine in near and far wake regions operating under different tip-speed-ratio and incoming turbulence intensities.
Isotropic local laws for sample covariance and generalized Wigner matrices

We consider sample covariance matrices of the form $X^*X$, where $X$ is an $M \times N$ matrix with independent random entries. We prove the isotropic local Marchenko-Pastur law, i.e. we prove that the resolvent $(X^* X - z)^{-1}$ converges to a multiple of the identity in the sense of quadratic forms. More precisely, we establish sharp high-probability bounds on the quantity $\langle v , (X^* X - z)^{-1}w\rangle - \langle v , w\rangle m(z)$, where $m$ is the Stieltjes transform of the Marchenko-Pastur law and $v , w \in \mathbb{C}^N$. We require the logarithms of the dimensions $M$ and $N$ to be comparable. Our result holds down to scales $\Im z \geq N^{-1+\varepsilon}$ and throughout the entire spectrum away from 0. We also prove analogous results for generalized Wigner matrices.
An Optimized Isolation Network for the Wilkinson Divider

We propose an isolation network to simultaneously improve the input return loss, output return loss and isolation of the Wilkinson power divider in a wide bandwidth. The required even mode and odd mode reflection coefficients of the isolation network are calculated. Constructed even and odd mode circuits are combined to give the desired isolation network. Analytical expressions for the optimal component values for a single-section divider are given. Compared with the single-section Wilkinson divider, the final design can triple the bandwidth for an input-output return loss and isolation of greater than 25 dB. Broadband characteristic is achieved without increasing the number of sections hence extra length and insertion loss are avoided. Wide operation bandwidth of the new divider is verified by experimental results. The proposed method can be applied to a two-section divider, also broadening its bandwidth.
Addiction and Alcohol Consumption: Evidence from Italian Data

In this paper we estimate the demand for alcoholic beverages in Italy following the rational addiction framework by Becker and Murphy (1988) and using a GMM estimator. To increase confidence in the reliability of this framework we use two different data sets: (i) a time series of annual aggregate alcohol consumption from 1960 to 2002 supplied by ISTAT; (ii) a time series of household data on wine, beer and liquor consumption recorded on a four-week basis from 1999:3 to 2004:4 and supplied by ISMEA-Nielsen. Both data sets support the hypothesis that alcohol consumers are actually forward-looking. Past consumption is significant in explaining current consumption thus detecting the addictive nature of alcohol. Short and long run price elasticities and the income elasticity of demand are also calculated. Interestingly, the long run income elasticity of demand, as derived from the rational addiction model, is higher than one both for aggregate and specific products so alcoholic beverages turn out to be luxury goods.
Scanning Electron Microscopy and Molecular Characterization of Aedes albopictus ( Skuse )

Scanning electron microscopy and molecular characterization of Aedes albopictus larvae were done. Analysis of 28S rRNA gene sequence of Aedes albopictus Burdwan-SNC1 (KC208593) revealed comparatively higher GC content. Phylogenetic tree was prepared using the Neighbor-Joining (NJ) method. Phylogenetic tree revealed that Aedes albopictus Burdwan-SNC1 (KC208593) branched with the cluster containing of Aedes palauensis A26, Aedes hensilli A25, Aedes riversi A51A, Aedes dybasi A28, Aedes galloisiA77,Aedes flavopictusA47,Aedes albopictus A22,Aedes albopictusA34, Aedes albopictus MQSRNAGN and also branched with the cluster containing Aedes aegypti A20 and Aedes wadai A85. Scanning electron micrographs of Aedes albopictus larvae revealed that the structural complexity and number of both comb scales and pecten spines increased with larval growth and development. Similar results were revealed by anal papillae of abdominal segments.
Distributed backstepping control for synchronization of networked class of underactuated systems: A passivity approach

This paper considers the cooperative control problem of networked class of underactuated systems. We propose a new set up for synchronization of this type of systems based on the use of passivity as a design tool to solve the problem in hand. First the underactuated system is transformed to a class of nonlinear system with chain structure using a suitable non-linear static feedback. The cooperative control is designed using a combination of the standard backstepping procedure and the passivity theory by which a synchronizing outputs are constructed recursively then shared within the group. The proposed design technique is based on strongly connected digraph communication structures. Numerical simulations are carried out to illustrate the effectiveness of the proposed approach.
Tyrosine Phosphorylation of the NR2B Subunit of the NMDA Receptor in the Spinal Cord during the Development and Maintenance of Inflammatory Hyperalgesia

The present study examined the levels of NMDA receptor NR2 subunit tyrosine phosphorylation in a rat model of inflammation and correlated it with the development of inflammation and hyperalgesia. Hindpaw inflammation and hyperalgesia were induced by intraplantar injection of complete Freund's adjuvant. Proteins from the spinal cord (L4–L5) were immunoprecipitated with anti-NR2A or anti-NR2B antibodies and used for subsequent analysis using 4G-10, a specific anti-phosphotyrosine antibody. Compared with naive rats, there was a rapid and prolonged increase in tyrosine phosphorylation of the NR2B, but not NR2A, subunit after inflammation. The increase in NR2B tyrosine phosphorylation was dependent on primary afferent drive because (1) the phosphorylation correlated with the temporal profile of inflammation and hyperalgesia, (2) shorter-duration noxious stimulation produced a rapid and shorter-lasting increase in phosphorylation, and (3) local anesthetic block of the injected paw reversibly blocked inflammation-induced NR2B tyrosine phosphorylation and delayed hyperalgesia. The increase in NR2B tyrosine phosphorylation was abolished by intrathecal pretreatment with genistein, a tyrosine kinase inhibitor; PP2, an Src family tyrosine kinase inhibitor; AIDA, a group I metabotropic glutamate receptor antagonist; L733,060, an NK1 tachykinin receptor antagonist, and chelerythrine, a protein kinase C inhibitor. In addition, intrathecal PP2 delayed the onset of mechanical hyperalgesia and allodynia. These findings correlate in vivo NMDA receptor tyrosine phosphorylation with the development and maintenance of inflammatory hyperalgesia and suggest that signal transduction upstream to NR2B tyrosine phosphorylation involves G-protein-coupled receptors and PKC and Src family protein tyrosine kinases.
Title: Proceedings of the International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics (visual 2014) Program Committee Contents a Vision for Diagrammatic Ontology Engineering Ontovibe: an Ontology Visualization Benchmark User Involvement for Large-

Ontology engineering is becoming more important, given the rapid rise of data in this information age. To better understand and reason about this data, ontologies provide us with insight into its structure. With this comes the involvement of a wide range of stakeholders, such as information analysts, software engineers, lawyers, and domain experts, alongside specialist ontology engineers. These specialists are likely to be adept at using existing approaches to ontology development, typically description logic or one of its various stylized forms. However, not all stakeholders can readily access such notations, which often have a very mathematical style. Many stakeholders, even including fluent ontology engineers, could benefit from visual approaches to ontology engineering, provided those approaches are accessible. This paper presents ongoing research into a diagrammatic approach to ontology engineering, outlining key research advances that are required.
Protective Action of Resveratrol in Human Skin: Possible Involvement of Specific Receptor Binding Sites

Background Resveratrol is a plant-derived polyphenol with purported protecting action on various disorders associated with aging. It has been suggested that resveratrol could exert its protective action by acting on specific plasma membrane polyphenol binding sites (Han Y.S., et al. (2006) J Pharmacol Exp Ther 318:238–245). The purpose of this study was to investigate, in human skin, the possible existence of specific binding sites that mediate the protective action of resveratrol. Methods and Findings Using human skin tissue, we report here the presence of specific [3H]-resveratrol binding sites (KD = 180 nM) that are mainly located in the epidermis. Exposure of HaCaT cells to the nitric oxide free radical donor sodium nitroprusside (SNP; 0.3–3 mM) resulted in cell death which was reduced by resveratrol (EC50 = 14.7 µM), and to a much lesser extent by the resveratrol analogue piceatannol (EC50 = 95 µM) and epigallocatechin gallate (EC50 = 200 µM), a green-tea derived polyphenol. The protective action of resveratrol likely relates to its anti-apoptotic effect since at the same range of concentration it was able to reduce both the number of apoptotic cells as well as mitochondrial apoptotic events triggered by SNP. Conclusion Taken together, these findings suggest that resveratrol, by acting on specific polyphenol binding sites in epidermis, may be useful to prevent skin disorders associated with aging.
PARTICLE SWARM OPTIMIZATION TECHNIQUE FOR RULE BASE OPTIMIZATION OF FLC FOR LOW SPEED ACC VEHICLE

Adaptive Cruise Control is used in vehicles for giving support to the drivers and to circumvent rear end collision. Due to the presence of nonlinearity in the vehicle (system), it is difficult to design an exact mathematical model of the system. Heuristic based fuzzy logic controller with optimized rule base, which does not require accurate mathematical modelling is proposed here which uses the knowledge of the designer for developing the rule base. The performance metrics in terms of better control and response time of the controller depends upon how well the rule base is formulated. More the number of rules in the rule base, higher the search time and increase in the total response time of the system but better will be the control. On the other hand, if the rules are less, then the search time will reduce which in turn decreases the total time of response of the system but control will be poor. In order to obtain an optimized control, the rule base is optimized using Particle Swarm Optimization technique. The result had shown a better performance.
Universal lossless coding for sources with repeating statistics

A lower bound is derived on the achievable redundancy for universal lossless coding of parametric sources with piecewise stationary, abruptly changing, occasionally repeating statistics. In particular, it is shown that if the number of repeating statistical parameter vectors (or states) is not too large, for any uniquely decipherable code, for almost every set of states that govern all the different segments in the data sequence, for almost every arrangement of these states in the different segments, and for almost every vector of transition times, the minimum achievable redundancy is composed of 0.5 log d extra code bits for each unknown component of each state, log m extra code bits for each unknown transition time, and log s extra code bits for each repetition of a state, where d is the average duration of each state in the input string, TO is the average length of a segment, and s is the total number of states. If s is essentially large compared to TO, it is shown that the minimum redundancy is composed of 0.5 log 77i bits for each unknown component in each segment and log TO bits for each unknown transition time, which is the same lower bound as that of general piecewise stationary sources (PSSs). These results are true also in the minimax and maximin senses. The lower bound is shown to be achievable through construction of mixture and estimation based codes. Different special cases are reviewed, and it is shown that unless s is essentially large compared to m, optimal codes that are designed particularly for sources with repeating statistics outperform codes designed for PSSs when coding sources with repeating statistics. In particular, the bound for general PSSs is shown to be a special case of the new bound.
Review: Elastic Network Model for Protein Structural Dynamics

Proteins and their complexes undergo conformational changes, which are closely related to their unique biological functions. However, it is of great challenge for both theoretical and experimental studies to resolve the protein conformational changes due to the limitations regarding the time scale, data size and computational cost. In recent years, normal mode analysis based on coarse-grained elastic network model has been proven to be suitable for the study of the collective vibration motions in macromolecules. Based on the topology of native contacts, this coarse-grained analysis can provide the global motions effectively, thus getting insights into the mechanical aspects of proteins dynamics. In this short review, the basic theory and fundamental features of elastic network models are introduced and a wide variety of examples and applications are then discussed.
Targeting on Asymmetric Dimethylarginine-Related Nitric Oxide-Reactive Oxygen Species Imbalance to Reprogram the Development of Hypertension

Adult-onset diseases, including hypertension, can originate from early life, known as the developmental origins of health and disease (DOHaD). Because the developing kidney is vulnerable to early-life insults, renal programming is considered key in the developmental programming of hypertension. Asymmetric dimethylarginine (ADMA), an endogenous nitric oxide (NO) synthase inhibitor, can regulate the NO–reactive oxygen species (ROS) balance, and is involved in the development of hypertension. Reprogramming interventions aimed at NO-ROS balance can be protective in both genetic and developmentally programmed hypertension. Here we review several emergent themes of the DOHaD approach regarding the impact of ADMA-related NO-ROS imbalance on programmed hypertension. We focus on the kidney in the following areas: mechanistic insights to interpret programmed hypertension; the impact of ADMA-related NO-ROS imbalance in both genetic and acquired animal models of hypertension; alterations of the renal transcriptome in response to ADMA in the developing kidney; and reprogramming strategies targeting ADMA-related NO-ROS balance to prevent programmed hypertension.
SqueezCL: Squeezing OpenCL Kernels for Approximate Computing on Contemporary GPUs

Approximate computing provides an opportunity for exploiting application characteristics to improve performance of computing systems. However, such opportunity must be balanced against generality of methods and quality guarantees that the system designer can provide to the application developer. Improved parallel processing in graphics processing units (GPUs) provides one such means for data-level parallel applications. We propose SqueezCL a software method to reduce the hardware resources used by an OpenCL kernel. SqueezCL transforms an exact OpenCL kernel to an approximate OpenCL kernel by squeezing dimensions of its data elements. The core of SqueezCL leverages bitwidth reduction to shrink the hardware resources. Selectively reducing the precision and size of data elements generates approximate kernels that can be executed faster at a cost to quality loss. Exploiting this opportunity is particularly important for GPU accelerators that are inherently subject to memory resource constraints. We evaluate SqueezCL on a diverse set of data-level parallel OpenCL benchmarks from the AMD APP SDK v2.9. Experimental result on the AMD Radeon HD 5870 shows that SqueezCL yields on average 1.1× higher performance with less than 10% quality loss without requiring any changes to the underlying GPU hardware.
A CONCEPT FOR BUILDING MORE HUMANLIKE SOCIAL ROBOTS AND THEIR ETHICAL CONSEQUENCE

Human – computer interaction is a vast area of research that targets two very different groups of subjects: the humans as a biology originated group, and the machines – as human made products. One specific part of this interaction is the human – robot interaction. This paper discusses the challenges that arise in the human – robot interaction. Special accent is put on creating social robots, in particular on creating more human-like empathic robots. Here a concept for creating such robots is proposed, where data from human-human interaction is used for feature selection. As an example of the stated concept a robot has been added the ability to perceive human emotions. In this research the robot uses human sound data as source for perceiving human emotions. Additionally, a biologically driven custom algorithm is used in this research for emotion evaluation classification. The proposed approach is analyzed and evaluated using experimental results done from real data. Also, the influence of the emotion aware robots on humans is explained in more detail. At the end, a discussion about the importance of sharing life with these emotion aware robots today and in the future is argued.
The 4.5S RNA gene from Pseudomonas aeruginosa.

The essential 4.5S RNA of Escherichia coli contains a structural motif, which is also present in RNAs from other organisms, i.e. Bacillus subtilis scRNA, Halobacterium halobium 7S RNA and eukaryotic 7SL RNAs. This suggests a common function in all organisms, which could be related to protein translocation, since 7SL RNA is essential for this process in eukaryotes. We have analysed the structure and expression of the 4.5S RNA gene from another gram-negative eubacterium, Pseudomonas aeruginosa. The single copy gene encodes a 113 nucleotides long RNA, which shares 75% sequence homology to the E. coli 4.5S RNA and also exhibits the completely conserved hairpin structure of the corresponding RNAs of B. subtilis and E. coli. Transcription initiates 24 nucleotides upstream from the mature 5' end and exceeds beyond the 4.5S RNA coding region. A distal open reading frame, similar to that described for E. coli, does not exist downstream from the P. aeruginosa 4.5S RNA gene.
CMOS Tunable-Color Image Sensor With Dual-ADC Shot-Noise-Aware Dynamic Range Extension

A wide dynamic range CMOS tunable-color image sensor is presented. The sensor integrates an 8 × 8 array of tunable-color photogates which exploit the wavelength-dependent optical absorption properties of the polysilicon gate structure. An analysis is presented for the wide dynamic range asynchronous self-reset with residue readout architecture where photon shot noise is taken into consideration. An implementation of this architecture is presented where the (coarse) asynchronous self-reset operation and (line) residue analog-to-digital conversions are performed with separate in-pixel and off-pixel circuits, respectively, for a noise-optimized design. A prototype was fabricated in a standard 0.35 μm CMOS process and is validated in color light sensing which achieves SNRs of 24.3 dB and 28.5 dB in green and red light measurements, respectively, under a moderate input light intensity of 300 μW/cm2. The readout circuit achieves a measured dynamic range of 82 dB with a peak SNR of 46.2 dB under broadband illumination. The prototype has been integrated with a microfluidic device and experimentally validated in fluorescence contact imaging.
Exchange Market Pressure in Postwar Brazil: An Application of the Girton-Roper Monetary Model

This study applies Lance Girton and Don Roper's (hereafter G-R) monetary model of exchange market pressure to the postwar Brazilian monetary experience. The model was designed specifically for the Canadian managed float during the period 1952-62. The object of their model is to explain what they term "exchange market pressure"; that is, the pressure on foreign exchange reserves and the exchange rate when there exists an excess of domestic money supply over money demand in a managed floating exchange rate regime. The basic theoretical proposition is that any such excess supply of money can be relieved by an exchange depreciation, a loss in foreign reserves, or, in the context of a managed float, by some combination of the two. In this sense, the G-R managed float model used here is firmly rooted in the modern monetary approach to exchange rates and the balance of payments. ' Brazil provides a particularly good example for testing this approach, not only because it is in many senses a unique example of a postwar managed float system, but also because it can be treated as a "small, open" economy in the sense that world prices and monetary conditions faced by Brazil are taken as given. This particularly suits the purpose of most modern monetary models which make this assumption and obviates the problems of monetary dependence and neutralization dealt with in the pioneering G-R paper. Specifically, the small-country assumption permits us to devise a simple one-country equation of managed floating which depends upon four essential ingredients: 1) money demand, 2) money supply, 3) purchasing power parity, and 4) monetary equilibrium.2 Furthermore, in Brazil a much greater proportion of exchange market pressure was absorbed by exchange rate depreciation than in the Canadian case where changes in reserves were large relative to exchange rate movements. In short, postwar Brazil provides a singularly good opportunity to test the monetary model of exchange market pressure. Section I briefly states the essential elements of the monetary model, and derives the equation to be tested for the Brazilian experience from 1955 to 1975. Section II reports empirical results for the exchange market pressure model, and Section III examines the applicability of the relative version of purchasing power parity for the time period considered. Section IV summarizes the results and discusses the merits of the monetary approach in light of the Brazilian experience.