Miracle-dz/UniFAR-FTUs huggingface dataset:
TOWARDS OFFERING WINE TO THE CONSUMER IN OPTIMAL CONDITION-THE WINE, THE CLOSURES AND OTHER PACKAGING VARIABLES

Peter GODDEN, Kate LATTEY, Leigh FRANCIS, Mark GISHEN, Geoff COWEY, Matthew HOLDSTOCK, Ella ROBINSON, Elizabeth WATERS, George SKOUROUMOUNIS, Mark SEFTON, Dimi CAPONE, Mariola KWIATKOWSKI, John FIELD, Adrian COULTER, Narelle D’COSTA and Belinda BRAMLEY The Australian Wine Research Institute, PO Box 197, Glen Osmond, SA 5064, Australia. John Field Consulting Pty. Ltd., 10 High Street, Burnside, SA 5066 (formerly of CSIRO Mathematical and Information Sciences) Corresponding author: Peter Godden facsimile +61 8 8303 6601, email Peter.Godden@awri.com. au
STUDY OF MEDICAL APPLICATIONS OF COMPACT LASER-COMPTON X-RAY SOURCE∗

Compton scattering of laser photons by a relativistic electron beam producesmonoenergetic, tunable and small source size X-rays similar to synchrotron light sources in a very compact setting, due to the shorter undulator period of lasers. These X-ray sources can bring to every hospitals advanced radiology and radiotherapy that are currently only being conducted at synchrotron facilities. Few examples include phase contrast imaging utilizing the micron-scale source size, Kedge subtraction imaging from two monoenergetic X-rays at different energies and radiation therapy using radiosensitization of high-Z nanoparticles. At LLNL, 30 keV X-rays have been generated from the 30MeV X-band linac, and the X-rays have been characterized and agree with the modeling very well. This source is being used to study the feasibility of aforementioned medical applications. Experimental setup of K-edge subtraction of contrast agents are presented, demonstrating the low-dose, high-contrast imaging potential of the light source. Plans to study enhanced radiotherapy using Gold nanoparticles with the upgrade of the machine to higher energies are discussed.
Geometric Correction of Image Acquired by UAV Using Non-parametric Approach

— UAV photography system is implementation of efficient data acquisition techniques, high resolution texture, low cost and using in commercial application. In research paper, we got several images from UAV (unmanned aerial vehicle) and produced image mosaic. Firstly, this paper proposes image mosaic method based of SIFT (scale invariance feature transform) feature to detect key points, scaling, rotation and matching between two images in the image mosaic. RANSAC (random sample consensus) method is used to find homography, transformation and adjust colour for rgb or grey scale for grey image with SIFT (scale invariance feature transform) matching location and then produced mosaic image from combination of SIFT (scale invariance feature transform) and RANSAC (random sample consensus). The results from experiment based on four pairs of images with 70% overlapped captures by using the camera of UAV show that our method has many feature points and matching points for image mosaic. In this paper, the combination of SIFT and RANSAC algorithm is used to produce mosaic image and then this image is used in geometric correction. Finally, this paper proposes before and after geometric correction of mosaic image because raw digital images contain geometric distortion and cannot be used directly as a map. In general, there are two approaches for the geometric correction. The parametric approach is model-based while the non-parametric one makes use of ground control points (GCPs). This paper contains the geometric correction of UAV image which is non-parametric approach. In this paper, geometric correction is considered two conditions. These conditions are that distributions of GCPs (Ground Control Points) are considered with distinct location and indistinct location based on geometric metric correction accuracy that is Root Mean Square Error (RMSE).
Planar Cavity-Backed Self-Diplexing Antenna Using Two-Layered Structure

A design of a half-mode substrate integrated waveguide (HMSIW) cavity-backed selfdiplexing antenna is proposed with a two-layer structure. The top layer comprises two HMSIW based cavities, and radiating patches are etched on the top-cladding of each cavity. The radiating patches are excited by two distinct printed microstrip lines on the backside of the bottom layer by using shortingpins. The shorting-pin excites the corresponding cavity in its dominant mode, which resonates at two different frequencies in x-band. The simulated results demonstrate that the proposed design resonates at 8.20 GHz and 10.55 GHz with an isolation of higher than −25 dB between two excitations, which helps to introduce the self-diplexing phenomenon. Also, both resonant frequencies can be tuned independently by varying the dimensions of the corresponding cavity. Moreover, HMSIW cavity-backed structure and proposed feeding technique reduce the overall size of the antenna significantly, while it maintains high gain and unidirectional radiation characteristics for both operating frequencies.
Europeanization beyond Contested Statehood : The European Union and Turkish-Cypriot Civil Society

This article investigates the impact of the European Union (EU) on the Turkish-Cypriot civil society, pegged to the Europeanization debate. The article contributes to the discussion on Europeanization and the role of the EU in contested states, which remains a neglected topic in the literature. The argument advanced is that a series of factors that relate to the contested statehood of the Turkish-Cypriot case mediate the occurrence of Europeanization and they often contribute to an exceptional EU impact on domestic civil society. In this regard, the Turkish-Cypriot example has strong comparative value for the study of the international role of the EU, the Europeanization of contested states and the importance that the EU places on contacts with civil society, as an alternative avenue to relations with states.
P-Download : A New Personalization Approach for a Content-Based Search System

With the explosive growth of information provided on the Web, personalization of search continues to be an important issue, particularly in the context of content-based search systems as the Internet started to evolve from being a simple information provider to a rich content provider. Building upon the recent findings in personalization strategies, the present research proposes a new search personalization algorithm that creates a synergetic effect by combining the download information with the current state of the art click-based algorithm. By assessing the log data of a user’s personal clickhistory in relation to the download information, the proposed method offers substantial advantage in creating a more specific user profile for personalization. A large dataset from a real-life content-based search system has been analyzed and tested for the evaluation of the proposed personalization method. The results largely support the significance of the proposed approach, highlighting the importance of downloading information in content-based search systems as a key ingredient for effective personalization. The findings have practical implications for content search service providers .
An HTTP Extension Framework

A wide range of applications have proposed various extensions of the HTTP protocol. Current efforts span an enormous range, including distributed authoring, collaboration, printing, and remote procedure call mechanisms. These HTTP extensions are not coordinated, since there has been no standard framework for defining extensions and thus, separation of concerns. This document describes a generic extension mechanism for HTTP, which is designed to address the tension between private agreement and public specification and to accommodate extension of applications using HTTP clients, servers, and proxies. The proposal associates each extension with a globally unique identifier, and uses HTTP header fields to carry the extension identifier and related information between the parties involved in the extended communication.
An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers

MOTIVATION MALDI mass spectrometry is able to elicit macromolecular expression data from cellular material and when used in conjunction with Ciphergen protein chip technology (also referred to as SELDI-Surface Enhanced Laser Desorption/Ionization), it permits a semi-high throughput approach to be taken with respect to sample processing and data acquisition. Due to the large array of data that is generated from a single analysis (8-10000 variables using a mass range of 2-15 kDa-this paper) it is essential to implement the use of algorithms that can detect expression patterns from such large volumes of data correlating to a given biological/pathological phenotype from multiple samples. If successful, the methodology could be extrapolated to larger data sets to enable the identification of validated biomarkers correlating strongly to disease progression. This would not only serve to enable tumours to be classified according to their molecular expression profile but could also focus attention upon a relatively small number of molecules that might warrant further biochemical/molecular characterization to assess their suitability as potential therapeutic targets. RESULTS Using a multi-layer perceptron Artificial Neural Network (ANN) (Neuroshell 2) with a back propagation algorithm we have developed a prototype approach that uses a model system (comprising five low and seven high-grade human astrocytomas) to identify mass spectral peaks whose relative intensity values correlate strongly to tumour grade. Analyzing data derived from MALDI mass spectrometry in conjunction with Ciphergen protein chip technology we have used relative importance values, determined from the weights of trained ANNs (Balls et al., Water, Air Soil Pollut., 85, 1467-1472, 1996), to identify masses that accurately predict tumour grade. Implementing a three-stage procedure, we have screened a population of approximately 100000-120000 variables and identified two ions (m/z values of 13454 and 13457) whose relative intensity pattern was significantly reduced in high-grade astrocytoma. The data from this initial study suggests that application of ANN-based approaches can identify molecular ion patterns which strongly associate with disease grade and that its application to larger cohorts of patient material could potentially facilitate the rapid identification of validated biomarkers having significant clinical (i.e. diagnostic/prognostic) potential for the field of cancer biology. AVAILIBILITY: Neuroshell 2 is commercially available from ward systems.
CRAVES: Controlling Robotic Arm With a Vision-Based Economic System

Training a robotic arm to accomplish real-world tasks has been attracting increasing attention in both academia and industry. This work discusses the role of computer vision algorithms in this field. We focus on low-cost arms on which no sensors are equipped and thus all decisions are made upon visual recognition, e.g., real-time 3D pose estimation. This requires annotating a lot of training data, which is not only time-consuming but also laborious. In this paper, we present an alternative solution, which uses a 3D model to create a large number of synthetic data, trains a vision model in this virtual domain, and applies it to real-world images after domain adaptation. To this end, we design a semi-supervised approach, which fully leverages the geometric constraints among keypoints. We apply an iterative algorithm for optimization. Without any annotations on real images, our algorithm generalizes well and produces satisfying results on 3D pose estimation, which is evaluated on two real-world datasets. We also construct a vision-based control system for task accomplishment, for which we train a reinforcement learning agent in a virtual environment and apply it to the real-world. Moreover, our approach, with merely a 3D model being required, has the potential to generalize to other types of multi-rigid-body dynamic systems.
Hemopoietic Growth Factors with the Exception of Interleukin-4 Activate the p38 Mitogen-activated Protein Kinase Pathway*

The mammalian mitogen-activated protein (MAP) kinase homologue p38 has been shown to be activated by pro-inflammatory cytokines as well as physical and chemical stresses. We now show that a variety of hemopoietic growth factors, including Steel locus factor, colony stimulating factor-1, granulocyte/macrophage-colony stimulating factor, and interleukin-3, activate p38 MAP kinase and the downstream kinase MAPKAP kinase-2. Furthermore, although these growth factors activate both p38 MAP kinase and Erk MAP kinases, we demonstrate using a specific inhibitor of p38 MAP kinase, SB 203580, that p38 MAP kinase activity was required for MAP kinase-activated protein kinase-2 activation. Conversely p38 MAP kinase was shown not to be required for in vivo activation of p90rsk, known to be downstream of the Erk MAP kinases. Interleukin-4 was unique among the hemopoietic growth factors we examined in failing to induce activation of either p38 MAP kinase or MAP kinase-activated protein kinase-2. These findings demonstrate that the activation of p38 MAP kinase is involved not only in responses to stresses but also in signaling by growth factors that regulate the normal development and function of cells of the immune system.
The dynamics of camphor in the cytochrome P450 CYP101D2

The recent crystal structures of CYP101D2, a cytochrome P450 protein from the oligotrophic bacterium Novosphingobium aromaticivorans DSM12444 revealed that both the native (substrate‐free) and camphor‐soaked forms have open conformations. Furthermore, two other potential camphor‐binding sites were also identified from electron densities in the camphor‐soaked structure, one being located in the access channel and the other in a cavity on the surface near the F‐helix side of the F‐G loop termed the substrate recognition site. These latter sites may be key intermediate positions on the pathway for substrate access to or product egress from the active site. Here, we show via the use of unbiased atomistic molecular dynamics simulations that despite the open conformation of the native and camphor‐bound crystal structures, the underlying dynamics of CYP101D2 appear to be very similar to other CYP proteins. Simulations of the native structure demonstrated that the protein is capable of sampling many different conformational substates. At the same time, simulations with the camphor positioned at various locations within the access channel or recognition site show that movement towards the active site or towards bulk solvent can readily occur on a short timescale, thus confirming many previously reported in silico studies using steered molecular dynamics. The simulations also demonstrate how the fluctuations of an aromatic gate appear to control access to the active site. Finally, comparison of camphor‐bound simulations with the native simulations suggests that the fluctuations can be of similar level and thus are more representative of the conformational selection model rather than induced fit.
GaN-Based LEDs With a Chirped Multiquantum Barrier Structure

We report the fabrication of GaN-based blue light-emitting diodes (LEDs), which separately incorporate the three different electron blocking layers (EBLs), namely, a conventional AlGaN, a uniform multiquantum barrier (UMQB), and a chirped multiquantum barrier (CMQB). On the administration of 20 mA injection current, the corresponding LED output powers measured were 27.5, 27.2, and 25.4 mW for CMQB LED, UMQB LED, and LED, respectively, with a conventional AlGaN EBL. It was also found that the LED with CMQB EBL exhibited a significantly lower drooping effect and a smaller forward bias as compared with LEDs with a conventional AlGaN EBL and UMQB EBL.
Heat transfer with first-order interfacial jump in a biconnected structure by

The paper deals with the asymptotic behaviour of heat conduction in a bounded domain having the ε-periodic structure introduced in [13], formed by two interwoven connected components separated by an interface on which the heat flux is continuous and the temperature subjects to a first-order jump condition. Considering that the conductivities of the two components and the transfer coefficient of the jump condition have various orders of magnitude with respect to ε, we derive the macroscopic laws and the effective coefficients in all regular cases by means of the two-scale convergence technique of the periodic homogenization theory.
Comparison of Hock – Brown and Mohr – Coulomb criteria in the stability analysis of jointed rock slopes

This paper presents the stability analysis at the right and left slopes of the road in Iran. Both field and laboratory studies were carried out. The field study included precise discontinuity surveys. Laboratory tests were carried out to determine Young's modulus, uniaxial compressive strength, unit weight and shear strength parameters of discontinuities. In this study numerical modeling were used for the right and left slopes of the road. Shear strength reduction analyses was carried out using Phase2 in the basis of Hock–Brown and Mohr–Coulomb criteria. According to results of numerical analysis, Strength Reduction Factor (SRF) of the right and left slopes are 1.37 and 1.46 for Hock–Brown criterion but 1.99 and 2.14 for Mohr–Coulomb criterion respectively. The obtained results present that application of Hock– Brown criterion yielded more reliable results in this situation and any rotational failure will not occur.
Loss of functional K+ channels encoded by ether‐à‐go‐go‐related genes in mouse myometrium prior to labour onset

There is a growing appreciation that ion channels encoded by the ether‐à‐go‐go‐related gene family have a functional impact in smooth muscle in addition to their accepted role in cardiac myocytes and neurones. This study aimed to assess the expression of ERG1–3 (KCNH1–3) genes in the murine myometrium (smooth muscle layer of the uterus) and determine the functional impact of the ion channels encoded by these genes in pregnant and non‐pregnant animals. Quantitative RT‐PCR did not detect message for ERG2 and 3 in whole myometrial tissue extracts. In contrast, message for two isoforms of mERG1 were readily detected with mERG1a more abundant than mERG1b. In isometric tension studies of non‐pregnant myometrium, the ERG channel blockers dofetilide (1 μm), E4031 (1 μm) and Be‐KM1 (100 nm) increased spontaneous contractility and ERG activators (PD118057 and NS1643) inhibited spontaneous contractility. In contrast, neither ERG blockade nor activation had any effect on the inherent contractility in myometrium from late pregnant (19 days gestation) animals. Moreover, dofetilide‐sensitive K+ currents with distinctive ‘hooked’ kinetics were considerably smaller in uterine myocytes from late pregnant compared to non‐pregnant animals. Expression of mERG1 isoforms did not alter throughout gestation or upon delivery, but the expression of genes encoding auxillary subunits (KCNE) were up‐regulated considerably. This study provides the first evidence for a regulation of ERG‐encoded K+ channels as a precursor to late pregnancy physiological activity.
Human Behaviour Detection Using GSM Location Patterns and Bluetooth Proximity Data

Human behaviours are multifarious in nature and it is a challenging task to predict and learn from daily life activities. The profusion of Bluetooth enabled devices used in daily life has created new ways to analyze and model the behaviour of individuals. Bluetooth integrated into mobile handsets can be used as an efficient short range sensor. The aim of this research work is the detection of unusual human behaviours from cell tower and Bluetooth proximity data using neural networks. The primary purpose is to find anomalies in individual’s daily life routines that will further help us to detect and predict unusual behaviour of elderly people and patients such as dementia patients. KeywordsBehaviour; Cell tower ID; Bluetooth proximity; Neural Network; Jaccard Index
Comparison and evaluation of total phenolic, flavanoid content and antioxidant activity of crude methanol and ethyl acetate extracts of Carica papaya Leaves

The present study describes the evaluation and comparison of antioxidant activity of the methanolic and ethyl acetate leaf extract (CME and CEE) of Carica papaya. The antioxidant potential was evaluated in terms of total phenolic and flavonoid content, DPPH radical scavenging potential, iron reducing power assay and total antioxidant capacity by standard procedures. Total phenolic and flavonoid contents were estimated as gallic acid and catechin equivalents respectively. Maximum phenolic (42.96 GAE/mg of plant extract) & flavonoid (39.56 CE/mg of plant extract) contents was found in CME. Both CME and CEE showed the potent antioxidant activity with IC50 5.96 μg/ml & 6.79 μg/ ml respectively which are very close to standard ascorbic acid (IC50 2.16 μg/ml). The CME showed potent total antioxidant activity and iron reducing power assay than that of CEE. The results suggested that both the extracts of the leaves of C. papaya possess potent antioxidant activities and can be a good source of natural antioxidant.
COMPARISON OF THE IPCOD AND DEPONS MODELS FOR MODELLING POPULATION CONSEQUENCES OF NOISE ON HARBOUR PORPOISES

Two different frameworks have been developed to assess the potential effects of noise associated with offshore renewable energy developments on harbour porpoise populations: The Interim Population Consequences of Disturbance (iPCoD) and Disturbance Effects of Noise on the Harbour Porpoise Population in the North Sea (DEPONS). Although both models simulate population dynamics based on the birth and survival rates of individual animals, they model survival in a different way. iPCoD uses average survival rates derived from data from North Sea animals. In the DEPONS model, survival emerges from the individuals’ ability to continuously find food. In this report we compare the structure of the two models, and describe the data they require and the kinds of output they provide. We then identify key differences between the approaches and discuss how their outputs can be compared.
An Attack-Resilient Computation Algorithm for WSNs

WSN’s are more and more utilized in several applications, like volcano and hearth watching, urban sensing, and border area control. In an extremely massive WSN, in-network information aggregation (combining partial results at intermediate nodes throughout message routing) considerably reduces the quantity of communication overhead and energy consumption. The researcher community projected a lossresilient aggregation framework known as synopsis diffusion that uses duplicate insensitive algorithms on multipath routing schemes to accurately guess aggregates (e.g., predicate count or sum). However, this aggregation framework doesn't address the matter of false sub-aggregate values contributed by compromised nodes. This attack might cause huge errors within the combination computed at the base station, that is the root node within the aggregation hierarchy. The Proposed system has a tendency to create synopsis diffusion approach secure against the on top of attack launched by compromised nodes. Above all, we have a tendency to present attackresilient algorithm to modify the leaf nodes to firmly consider predicate count or total even within the presence of such attack. Our attack-resilient computation algorithmic computes actuality combination by filtering out the contributions of compromised nodes within the aggregation hierarchy. Intensive analysis and simulation study show that our algorithmic rule outperforms different existing approaches.