Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Flow Characteristics at Two Locations in an Energetic Tidal Channel

Inflow turbulence can impact a turbine’s power performance and load conditions and also affects wake recovery. At array scale, changes in flow conditions across a site impact the energy yield, performance and load conditions of turbines. Understanding the variation of flow conditions in time and space at deployment sites is therefore important to the tidal stream energy industry. Tidal flow field data of sufficient detail to allow turbulence characterisation remains relatively scarce. Traditional three or four beam Acoustic Doppler Current Profilers (ADCPs), which are commonly used for tidal flow resource characterisation, are limited by their spatial and temporal resolution and by the assumption of flow homogeneity across their beams. Higher resolution methods of measurement must therefore be implemented. This paper presents flow measurements that were conducted concurrently from two moored platforms in Strangford Narrows, an energetic tidal channel, separated by approximately 500m. Between the two locations a rocky outcrop exists in the channel and the characteristics of the flow vary significantly. Two collocated instruments were used to measure the flow characteristics at each location: a five beam ADCP (Nortek Signature 1000) and an ADV (Nortek Vector). This paper compares and contrasts both the flow characteristics at each location and the turbulence measurements using the different instrumentation types. The combination of instrumentation enables improved characterisation of the flow. Keywords— Tidal Stream; Acoustic Velocity Measurements; Field Data; Turbulence; Flow Characteristics
Exploring the adaptive voter model dynamics with a mathematical triple jump

Progress in theoretical physics is often made by the investigation of toy models, the model organisms of physics, which provide benchmarks for new methodologies. For complex systems, one such model is the adaptive voter model. Despite its simplicity, the model is hard to analyze. Only inaccurate results are obtained from well-established approximation schemes that work well on closely-related models. We use the adaptive voter model to illustrate a new approach that combines (a) the use of a heterogeneous moment expansion to approximate the network model by an infinite system of ordinary differential equations (ODEs), (b) generating functions to map the ODE system to a two-dimensional partial differential equation (PDE), and (c) solution of this partial differential equation by the tools of PDE-theory. Beyond the adaptive voter models, the proposed approach establishes a connection between network science and the theory of PDEs and is widely applicable to the dynamics of networks with discrete node-states.
Performance Comparison of Traffic Classification Techniques for Detecting Malicious Network Traffic

The quality of internet services is damaged seriously by malicious network traffics. Detecting these threats has attracted a lot of attentions. Among these, one of the most potential techniques is machine learning, which the need for training and testing data is very necessary. Recently, KDD network dataset has been used in a lot of classification researches. The researchers tried different methods, with different groups of attributes to train and test, in order to classify the malicious traffics with high performance. However, to the best of our knowledge, there is no study regarding the comparisons of performance between various of classification methods using KDD dataset. In this paper we surveyed about them, which includes SVM, KNN and Naïve Bayes. Moreover, with each technique, we make evaluations with different groups of attributes to find which is the best one. Experimental results show that KNN classification technique is the best one for detecting malicious network traffic. Keywords-Intrusion Detection; KDD; Attribute groups; SVM; KNN; Naive Bayes; Detection Rate
Forage fibre quality as a determinant of nitrogen use efficiency in dairy cows

The aim of this study was to improve nitrogen use efficiency (NUE) through better nutritional management by optimizing the use of dietary protein by using better quality forages with regard to the digestibility of neutral detergent fibre (dNDF) and by reducing crude protein (CP) intake by formulating the diets to meet metabolisable protein (MP) requirements. Four lactating Holstein cows were used in a 4 x 4 Latin square design balanced for carryover effects with a 2 x 2 factorial arrangement of treatment. Treatments were low CP concentration with high NDF digestibility (LpHd), high CP concentration with high NDF digestibility (HpHd), low CP concentration with low NDF digestibility (LpLd) and high CP concentration with low NDF digestibility (HpLd). Crude protein concentrations for the rations were formulated to be around 18% for Hp and about 15% for Lp diets. The indigestible NDF, as % of the NDF, of the two oat hays used were 40.8% for Ld hay and 35.54% for the Hd hay and wheat straw was included in the Ld diets to obtain iso-NDF diets with variable quality. Cows were fed ad libitum for each of the 14 day treatment periods with data collection taking place over the last 4 days of each 14 day treatment period. Dry matter intake (DMI) for 3 of the diets were found to be similar, with the exception of the LpLd diet i.e. LpLd having lower DMI than the other 3 diets, showing how protein can counteract the lower forage quality by stimulating fibrolytic bacteria. Energy corrected milk yield (ECM) was found to drop 2.46kg/d for Hd forage diets and 3.00kg/d for Ld forage diets with Hp having higher production then Lp levels. Nitrogen use efficiency was found to improve by 3.04% when protein was reduced in combination with Hd forages and by 5.63% for Ld forages. We concluded that lowering protein improved NUE significantly with forage digestibility contributing to the level of improvement. However, a consequence of reducing CP was a corresponding decrease in production.
FLOW OF A JEFFREY FLUID THROUGH A POROUS MEDIUM IN NARROW TUBES

In this paper, the effects of porous medium on a two-fluid model for the flow of Jeffrey fluid in tubes of small diameters are studied. It is assumed that the core region consists of Jeffrey fluid and Newtonian fluid in the peripheral region. The analytical solutions for velocity, flow flux, effective viscosity, core hematocrit and mean hematocrit have been derived and the effects of various relevant parameters on these flow variables have been studied. It is noticed that the flow exhibits the anomalous Fahraeus-Lindqvist effect.
Cell-Based Venation Systems

Venation structures in leaves fulfil both circulatory as well as structural functions within the organism they belong to. A possible digital simulation algorithm for the growth of venation patterns based on the leaf surface has been described by the Department of Computer Science at the University of Calgary.Cell-based growth algorithms to generate surface meshes have been developed by biological and medical scientists as well as artists, in order to gain an understanding of developmental biology or to generate artistic form. This paper suggests the combination of the two algorithms in order to generate the morphologies of leaves and other structures while at the same time generating the corresponding venation system.The resulting algorithm develops large non-manifold mesh structures based on local rules of division of the individual cells. The venation system develops in parallel based on the flow of the plant hormone auxin from those cells towards the start point or petiole of the leaf. Different local behaviours of the cells towards their adjacent neighbours, towards their rules of division and towards the rules of developing veins have been investigated. The eventual aim of the algorithms is their application as tools to develop architectural and structural morphologies.
of Advanced Robotic Systems PARLOMA – A Novel Human-Robot Interaction System for Deaf-Blind Remote Communication Regular Paper

Deaf-blindness forces people to live in isolation. At present, there is no existing technological solution enabling two (or many) deaf-blind people to communicate remotely among themselves in tactile Sign Language (t-SL). When resorting to t-SL, deaf-blind people can communicate only with people physically present in the same place, because they are required to reciprocally explore their hands to exchange messages. We present a preliminary version of PARLOMA, a novel system to enable remote communication between deaf-blind persons. It is composed of a low-cost depth sensor as the only input device, paired with a robotic hand as the output device. Essentially, any user can perform hand-shapes in front of the depth sensor. The system is able to recognize a set of hand-shapes that are sent over the web and reproduced by an anthropomorphic robotic hand. PARLOMA can work as a "telephone" for deaf-blind people. Hence, it will dramatically improve the quality of life of deaf-blind persons. PARLOMA has been presented and supported by the main Italian deaf-blind association, Lega del Filo d'Oro. End users are involved in the design phase.
Safety and environmental control of industrial activities in France: A negotiated relationship

Environmental regulation aims to ensure that industrial activities cause the least possible damage. In France, this includes checks of regulatory compliance by environmental inspectors. In cases of non-or partial compliance, the Environmental Code gives inspectors the power to impose sanctions: fines and/or imprisonment. In theory, the relationship between the "inspector" and the "inspected" refers to a person with powers similar to those of the police who can punish all kinds of non-compliance, and another person considered to be an "offender". In reality, the objective of environmental inspectors is not to apply sanctions, but to promote economic development, by finding solutions that enable compliance with environment protection and safety regulations.
Recycling oyster shell as adsorbent for phosphate removal

The utilization of oyster shell wastes as the ad sorbent for phosphate removal was studied. Oyster shell after thermal treatment has high CaO content which is active component for the phosphate adsorption from wastewater. The treating conditions influencing the adsorption capacity were investigated. The results indicated that the treating temperature and type of inert gas strongly effected on the phosphate removal capacity. The maximum adsorption capacity calculated from Langmuir isotherm was 583.5 mg"P/g when the oyster shell treated at 873 K in N 2 atmosphere was used as the adsorbent. The obtained adsorbent was successfully used for phosphate removal in the continuous system as well.
Dominant State Information of HMM-UBM HMM-UBM의 주 상태 정보를 이용한 음성 기반 문맥 독립 화자 검증

We present a speaker verification method by extracting i-vectors based on dominant state information of Hidden Markov Model (HMM) Universal Background Model (UBM). Ergodic HMM is used for estimating UBM so that various characteristic of individual speaker can be effectively classified. Unlike Gaussian Mixture Model(GMM)-UBM based speaker verification system, the proposed system obtains i-vectors corresponding to each HMM state. Among them, the i-vector for feature is selected by extracting it from the specific state containing dominant state information. Relevant experiments are conducted for validating the proposed system performance using the National Institute of Standards and Technology (NIST) 2008 Speaker Recognition Evaluation (SRE) database. As a result, 12 % improvement is attained in terms of equal error rate.
Understanding the Genetics of Age-Related Macular Degeneration: Some Insights into the Disease Pathogenesis

Abstract Age-related macular degeneration (AMD) is a late-onset complex disorder with multifactorial etiologies. Both genetic and environmental factors play a role in the disease pathogenesis. AMD is the third leading cause of blindness in the elderly. Familial aggregation, segregation studies and linkage analysis have provided both qualitative and quantitative evidence on the genetic basis in AMD. Several candidate loci have been earlier mapped in AMD but variants in genes viz. APOE, ABCA4, FBLN6and EFEMP1harboring these loci have accounted for only a small proportion of cases. Recent screening of two major loci has led to the identification of the Complement Factor H (CFH) on 1q32 and LOC387715and HTRA1on the 10q26 gene cluster. Single nucleotide polymorphisms (SNPs) in CFH(Y402H), LOC387715(A69S) and a promoter variant in HTRA1have been associated with AMD in large casecontrol cohorts. These SNPs exhibited large effect sizes and high disease odds for the risk genotypes across different populations. Interestingly, these associations have been widely replicated across multiple ethnic groups worldwide indicating their potential role in the disease pathogenesis. In this review, we would outline the genetics of AMD with special emphasis on CFHfollowed by other genetic variants based on studies done by our group and colleagues worldwide. We would also provide a brief overview on the possible molecular mechanisms leading to AMD.
Influence of change in posture . on the gastric myoelectrical activity in healthy subjects

s Gastric motor activity is enhanced by increasing parasympathetic nerve activity. However, it is not known whether position changes affect the gastric myoelectrical activity. This study investigated whether the change from sitting to supine alters gastric myoelectrical activity using the electrogastrogram (EGG) technique. Eight healthy males participated in this study. They were tested in the sitting position for 20 minutes and then in the supine position 20 minutes. The EGG signals were analyzed using fast Fourier transformation, and we compared peak amplitude and frequency. The parasympathetic nerve activity was evaluated using the high-frequency (HF) components in the heart rate variability from electrocardiogram. The change in posture increased the amplitude of EGG, while the peak frequency did not differ in the two positions. The position change increased the HF components. These results suggest that it is necessary to keep the same body position for an accurate clinical evaluation of gastric myoelectrical activity.
Mechanical, dielectric, and physicochemical properties of impregnating resin based on unsaturated polyesterimides

This work aims to characterize the dielectric and the mechanical properties of a resin based on an unsaturated polyesterimide diluted in methacrylate reactive diluents used in the impregnation of rotating machines. The broadband dielectric spectrometry and the dynamic mechanical analysis were used to quantify the changes in dielectric and mechanical properties of the network PEI resin, as a function of temperature and frequency. The network characterizations highlight the presence of two main relaxations, a and a0, confirmed by the differential scanning calorimetry analysis, showing the complexity of the chemical composition of this resin. The dielectric spectroscopy shows a significant increase in the dielectric values due to an increase of the material conductivity, while the mechanical spectroscopy shows an important decrease of the polymer rigidity and viscosity expressed by an important decrease in the storage modulus. The PEI resin shows a high reactivity when it is submitted in successive heating ramps, which involves in a post-cross-linking reaction.
Adaptive Control of Parallel Manipulators: Design and Real-Time Experiments

In this chapter, we address a new control strategy for parallel manipulators based on L 1 adaptive control. This latter is known for its decoupled control and estimation loops, enabling fast adaptation and guaranteed robustness. To improve the tracking performance of parallel manipulators, we propose in this work to include the dynamic model of the robot in the control loop of L 1 adaptive control. The additional dynamics-based term partially compensates for inherent nonlinear dynamics of the robot in order to reduce the impact of uncertainties on the closed-loop system and enhance the overall control performance. Real-time experiments, conducted on a 4-DOF fast parallel ma-nipulator developed in our laboratory, demonstrate the effectiveness of the proposed controller and its superiority compared to standard L 1 adaptive control in terms of tracking performance.
What does genetic variation in one-leaf Cape tulip ( Moraea flaccida ) populations in Australia tell us : implications for classical biological control ?

One-leaf Cape tulip (Moraea flaccida (Sweet) Steud. ) is an invasive weed in Southern Australia and has the potential become a management problem. Once established it spreads easily and rapidly, using both seed and corms to reproduce. Conventional control methods are costly and difficult to implement making this weed species a prime candidate for biological control. The aim of this research is to investigate the genetic diversity of this weed in South Australia and elucidate the movement of genotypes across the landscape. The information could be useful for the development of control programs and implementation of biocontrol. Plant material was obtained from South and Western Australia for analysis. DNA was extracted using a DNAeasy kit, according to the manufacturer’s instructions. Using Amplified Fragment Length Polymorphisms (AFLP), the genetic variation of one-leaf Cape tulip collected from selected sites in South Australia (SA) and Western Australia (WA) was investigated. After screening several primer pairs, fluorescent dimer Pst I and Mse 1 primers were used to determine genotypes of one-leaf Cape tulip and the results analysed using Genemapper software. The polymorphic differences were used to determine the phylogenetic relationships between one-leaf Cape tulip populations using AMOVA and UPGMA analysis based on Nei’s (1978) algorithms for genetic distance and similarity. There was significant genotypic variation between populations of one-leaf Cape tulip from South Australia and Western Australia (Figure 1). Within South Australia there was little evidence of divergence between the populations and little genetic diversity within the populations. The largest genetic distance between the SA populations was 0.07 and represented a geographical distance of 203 km, while the two WA populations, separated by approximately 48 km, were as distinct from each other (genetic distance = 0.18) as they were from the SA populations (genetic distance = 0.23). The results support the premise that there were multiple introductions of the species across Australia. In Western Australia, it appears that more than one introduction occurred, but that there has been minimal gene flow occurring between the two populations tested. In South Australia, on the other hand, the results indicate that the populations are likely to have originated from introductions containing little genetic variation. The weed can reproduce clonally, so even the introduction of one plant can result in successful colonisation. Therefore, eradication of small infestations, as soon as they are identified, is a useful management strategy. This study has also demonstrated the existence of several distinctly different genotypes of one-leaf Cape tulip in Australia. Given the complexity of host-pathogen interactions, the presence of different genotypes highlights the need to test the efficacy of any biocontrol agent across the range of genetic material present in Australia.
Procedural Reconstruction of NURBS Surfaces

A potential way to bridge the gap between complex form generation and models for physical manifestations is to panelize NURBS surfaces with polygonal faces. This paper investigates the transition from NURBS surface to a mesh solid through a procedural modeling approach, in the process, illustrating how a discretized planar surface can be reconstructed for form generation and further exploration. The paper promotes this approach as an efficient way to modeling complex forms using an example drawn from real life architecture to demonstrate a generative process with customized restructuring.
COST ANALYSIS OF COMMONLY USED DRUGS UNDER PRICE CONTROL IN INDIA: ASSESSING THE EFFECT OF DRUG PRICE CONTROL ORDER ON BRAND PRICE VARIATION Original Article

Objective: Rising cost of medical therapy is a major concern for patients, and there is high variability in the prices of numerous branded medicines available in India. Drug Price Control Order (DPCO) 2013 was implemented by the government of India with the aim of bringing down the cost of essential medicines. This cost analysis study was carried out to assess the brand price variation in major classes of common drugs under price control; thus assessing the impact of DPCO and analyse issues related to it. Methods: Latest price list of available brands for cardiovascular drugs, antibacterial, analgesics, drugs for diabetes, asthma, arthritis, convulsions covered under the DPCO, was procured from a leading commercial drug directory. Unit prices of drug formulations available as different brands were compared. Maximum-minimum prices and average prices were found. Price variations between brands were calculated and expressed as percentage variations. Assessment of existing pricing policy and quality norms was done. Results: Significant inter-brand price variations were found for the majority of formulations. These variations ranged from more than 100 % from average to more than 500 % between maximum and minimum brand prices for drugs like amlodipine, atorvastatin, diclofenac, amoxicillinclavulanic acid, clopidogrel. Out of 60 formulations observed, 40 showed price variations in excess of 50 % from average price and 23 showed variations greater than 200 % between the costliest and cheapest brands. Conclusion: Despite the implementation of price control, brand price variations still exist widely for commonly used drugs. Re-assessment of pricing policy and implementation of quality norms is needed.
Planar multilayer structure analysis: an educational approach

This paper discusses how symbolic computation combined with a circuit model can be used for analyzing planar multilayer structures, in a manner suitable for educational approach. Working in the Fourier domain, expressions for the transversal spectral Green’s functions are evaluated in compact, closed form using the symbolic computation capability of the Mathematica package. Printed antennas were analyzed through the method of moments. Further validation was achieved with the IE3D and HFSS packages.
Effect of mangosteen peel and galic powder supplementation on rumen fluid fermentation of beef cattle by using in vitro gas technique

An in vitro study was conducted to evaluate effect of mangosteen peel (MP) and garlic powder (Gar) supplementation on rumen fermentation of beef cattle. A completely randomized design was used with ten treatments including control and supplementation with MP (3, 6, 9% DM) and Gar (0.5, 1% DM). The results were found that supplementation of Gar and MP increased gas production, VFA concentration and in vitro true digestibility (P<0.05). However, the lower level of mangosteen peel (MP3%) had more impact on rumen fluid fermentation than higher levels (MP6%, MP9%) in term of gas production, NH3-N and VFAs in while MP6% was not different from MP9% (P>0.05). Garlic supplementation in supplemental mixture could not affect on rumen fluid fermentation end-products except increased propionate proportion, Moreover, disappearance of dry matter and organic matter were not significantly different between levels of Galic and MP supplementation (P>0.05). It could be recommended that next experiment should be less then 9% DM for mangosteen peel and 1% DM for garlic supplementations respectively.