Miracle-dz/UniFAR-FTUs huggingface dataset:
A partnership for health - working with schools to promote healthy lifestyle.

BACKGROUND Childhood obesity is increasing in prevalence. Effective interventions are needed, including those promoting healthy lifestyle habits in children and adolescents. OBJECTIVE This article describes the development and feasibility of a peer led health promotion program in a New South Wales high school and the role GPs can play in community based health promotion activities. DISCUSSION The Students As Lifestyle Activists (SALSA) program was developed by general practitioners, a local community health organisation and a local high school. Preliminary evaluation suggests that a peer led approach is feasible, acceptable and valued by both students and staff.
Handling of the tibial muscle envelope in tibial plateau levelling osteotomy - to elevate or not?

Summary Objective: To compare the outcome of the tibial plateau levelling osteotomy (TPLO) procedure, using a 6-hole 3.5 mm locking TPLO plate and performed with the muscle elevation technique (ET) and placement of sponges, to the TPLO without performing these steps (non-elevation-technique [NET]). Material and methods: Medical records and radiographs of dogs with ET (n = 21) or NET (n = 19) were retrospectively reviewed. Signalment, TPLO procedure side, meniscal treatment, surgery time, haemorrhage, preand postoperative tibial plateau angle, assistant, amount of rehabilitation, bone healing (cortical, osteotomy, combined healing scores), complications, limb function, recovery time and follow-up were recorded and analysed using multivariate analysis. A value of p <0.05 was considered significant. Results: Surgery time was significantly shorter with the NET (68.5 min ± 3.4) than with the ET (87.8 min ± 3.4) (p <0.01). No significant differences were detected for all other evaluated factors. Soft tissue trauma was minimal and none of the dogs suffered severe haemorrhage. The bone healing scores with the NET and the ET were not significantly different (p = 0.1, p = 0.2, p = 0.1). Complications were rare, minor and not significantly different between groups (p = 0.73). Clinical relevance: The results of this in vivo study indicate that NET is a feasible technique that can be considered for the clinical setting.
Appearance Global and Local Structure Fusion for Face Image Recognition

Principal component analysis (PCA) and linear descriminant analysis (LDA) are an extraction method based on appearance with the global structure features. The global structure features have a weakness; that is the local structure features can not be characterized . Whereas locality preserving projection (LPP) and orthogonal laplacianfaces (OLF) methods are an appearance extraction with the local structure features, but the global structure features are ignored. For both the global and the local structure features are very important. Feature extraction by using the global or the local structures is not enough. In this research, it is proposed to fuse the global and the local structure features based on appearance. The extraction results of PCA and LDA methods are fused to the extraction results of LPP. Modelling results were tested on the Olivetty Research Laboratory database face images. The experimental results show that our proposed method has achieved higher recognation rate than PCA, LDA, LPP and OLF Methods .
Mobile botnet detection: Proof of concept

Nowadays mobile devices such as smartphones had widely been used. People use smartphones not limited for phone calling or sending messages but also for web browsing, social networking and online banking transaction. To certain extend, all confidential information are kept in their smartphone. As a result, smartphones became as one of the cyber-criminal main target especially through an installation of mobile botnet. Eurograbber is an example of mobile botnet that being installed via infected mobile application without victim knowledge. It will pretense as mobile banking application software and steal financial transaction information from victim's smartphone. In 2012, Eurograbber had caused a total loss of USD 47 Million accumulatively all over the world. Based on the implications posed by this botnet, this is the urge where this research comes in. This paper presents a proof of concept on how the botnet works and the ongoing research to detect and respond to the mobile botnet efficiently. Detection of botnet malicious activity is done through an analysis of Crusewind Botnet code using reverse engineering process and static analysis technique.
Development of Bovine Nuclear Transfer Embryos Using Life-span Extended Donor Cells Transfected with Foreign Gene

This study was performed to determine the developmental potentials of nuclear transfer (NT) embryos using life-span extended cells transfected with a foreign gene as donor cells. A life-span extended bovine embryonic fibroblast cell line was transfected with an expression vector in which the human type II collagen (BOMAR) and ear fibroblasts were used as a donor cell. Cytogenetic analysis was performed to analyze the chromosomal abnormality of donor cells. The fusion rate of 1.8 kV/cm for given twice was significantly higher than that of other groups (p given once compared to other groups (p40 passages) had a lower number of chromosomes; however, fresh granulosa cell (GC) and BOMAR groups cultured less than 20 passages had normal chromosome numbers. Both >40 passages BOMAR groups had numerous obscure debris in metaphase spreads. The transfected foreign gene was expressed in all BOMAR groups, but not in the GC group. Based on these results, the lower developmental potential of NT embryos using life-span extended donor cells transfected with a foreign gene might be a cause of chromosomal abnormality in donor cells.
Sex and size affect annual survival in a threatened sand lizard

The sand-dune lizard Liolaemus multimaculatus is a threatened species endemic to the coastal ecosystems of Argentina. We assessed annual survival in one of largest known populations, using a mark recapture approach to estimate survival rates between 2006 and 2008. We found effects of size class, sex and year on survival rates. Average survival was 0.474 in adult males, 0.672 in adult females, 0.415 in juvenile males and 0.470 in juvenile females. The observed differences could be related to higher predation of juvenile and male lizards.
All-Fiber Reflection-Based Scattering NSOM with Low Phase Drift for Guided-Wave Imaging on a Chip

An all-fiber phase-resolved reflection-based near-field scanning optical microscope with a phase-drift-rate of 0.06°/ s is developed. By raster scanning atomic force microscope probe, we measure the complex near-fields and analyse the standing-wave-spectrograms in silicon nano-waveguides. © 2019 The Author(s)
Epidemic Protection Over Heterogeneous Networks Using Evolutionary Poisson Games

Malware is increasingly sophisticated and affects the wellbeing of a large population of heterogeneous and highly connected devices. The users of these devices can make strategic and dynamic decisions to choose whether or not to adopt the antivirus software, not only to secure their individual devices but also to protect the network they are part of. Motivated by the strategic behaviors of the antivirus adoption, we establish an evolutionary Poisson game framework to capture the random, dynamic, and heterogeneous interactions of agents in a holistic fashion, and design mechanisms to control their behaviors to achieve a system-wide objective. We first prove the existence and uniqueness of a mixed Nash equilibrium of the large population game and show that the equilibrium is an evolutionary stable strategy. Finally, we develop online algorithms using the techniques of stochastic approximation coupled with the population dynamics, and they are shown to converge to the optimal solution of the controller problem. Numerical examples are used to illustrate and corroborate our results.
Lyaponov function based simultaneous state and parameter estimation in excited DC motor drive

We address the problem of meeting the controller's requirements for DC motors but under the constraint of omitting the speed sensor: the so called sensorless control problem. We offer an observer based solution and present the design of a robust observer which provides motor speed and armature resistance simultaneously. The concerned observer is designed in such away to assume the overall state observer stability using Lyaponov criterion. The validity of the proposed method is verified by extensive digital simulation results.
Absolute quantification of phosphorus metabolite concentrations in human muscle in vivo by 31P MRS: a quantitative review

31P MRS offers a unique view of muscle metabolism in vivo, but correct quantification is important. Inter‐study correlation of estimates of [Pi] and [phosphocreatine (PCr)] in a number of published studies suggest that the main technical problem in calibrated 31P MRS studies is the measurement of PCr and Pi signal intensities, rather than absolute quantification of [ATP]. For comparison, we discuss the few published biopsy studies of calf muscle and a selection of the many studies of quadriceps muscle. The ATP concentration is close to the value that we obtained in calf muscle in our own study, presented here, on four healthy subjects, by localised 31P MRS using a surface coil incorporating an internal reference and calibrated using an external phantom. However, the freeze‐clamp biopsy PCr concentration is ∼20% lower than the value obtained by 31P MRS, consistent with PCr breakdown by creatine kinase during freezing. Finally, we illustrate some consequences of uncertainty in resting [PCr] for analysis of mitochondrial function from PCr kinetics using a published 31P MRS study of exercise and recovery: the lower the assumed resting [PCr], the lower the absolute rate of oxidative ATP synthesis estimated from the PCr resynthesis rate; in addition, the lower the assumed resting [PCr], or the higher the assumed [total creatine], the higher the apparent resting [ADP], and therefore the more sigmoid the relationship between the rate of oxidative ATP synthesis and [ADP]. Correct quantification of resting metabolite concentrations is crucially important for this sort of analysis. Our own results ([PCr] = 33 ± 2 mM, [Pi] = 4.5 ± 0.2 mM, and [ATP] = 8.2 ± 0.4 mM; mean ± SEM) are close to the overall mean values of the 10 published studies on calf muscle by ‘calibrated’ 31P MRS (as in the present work), and of [PCr] and [Pi] in a representative selection of ‘uncalibrated’ 31P MRS studies (i.e. from measured PCr/ATP and Pi/ATP ratios, assuming a literature value for [ATP]). Copyright © 2007 John Wiley & Sons, Ltd.
INVESTIGATION INTO RESTORATION EXPERIENCE : THE EFFECTS OF PERCEIVED SENSORY DIMENSION AND PERCEIVED RESTORATIVENESS

Salutogenic landscape with its health-promoting qualities is a solution for ever-increasing problem of stress for university students as a vulnerable group. Based on nature related theories, natural environments could have a salutary effect on psychological restoration through stress alleviation. There is a body of research on investigating the impact of open green space characteristics for increasing of psychological restoration through framework of attention restoration theory and supportive environment theory. However, there is little knowledge on how the interaction among these characteristics could promote perceived restoration experience (PRE). To address this problem, using perceived sensory dimension (PSD) for open green space qualities and Perceived Restorativeness (PR) as properties of restorative environments, this study assessed the extent to which the PSD and PR impact on PRE. Using 444 screened data, the mediation effect of PR on the association of PSD to PRE is shown as well as the validity and reliability of proposed relationships. ‘Serene’, ‘space’, ‘prospect’, ‘rich in species’ and ‘nature’ were the most influential PSDs on PRE through their higher effect on perceived characteristics of ‘fascination’ and ‘compatibility’. These results provide information within landscape architecture and planning to promote the development of open spaces as resources for psychological restoration and stress relief.
Recuperação de ervais degradados.

O cultivo da erva-mate no Brasil, até bem pouco tempo, era feito em razão daquilo que o produtor julgava ser mais correto. O efeito dos resultados de pesquisa sobre os sistemas de produção era mínimo, e só era sentido em alguns locais onde havia a presença da Empresa Catarinense de Pesquisa e Assistência Técnica – EPAGRI, ou de técnicos das empresas de assistência técnica e extensão rural dos demais estados produtores de erva-mate. Por isso, o rendimento dos ervais brasileiros era muito inferior ao dos ervais argentinos e contribuía para o estabelecimento do mito de que a competência técnica nacional era inferior àquela.
Automatic Identification of Botanical Samples of leaves using Computer Vision

Leaf can be one of the many different parameters on the basis of which a plant can be uniquely identified. Many plants types are on the verge of extinction and can be taken care of, if identified correctly. The proposed method discusses an automated image processing system for leaf classification. The leaf pixels from the image are segmented and termed as region of interest (ROI). A set of geometrical, textural and statistical features is extracted for each input sample and analyzed using a multi class SVM classifier. The proposed system has achieved an accuracy of 97% with a sensitivity of 98.32%. The results are encouraging for a dataset consisting of 10 different leaf classes and can be used for development of some real time application.
A computational model of observer stress

x Experiments were designed and conducted to acquire real-world observer stress data sets for the different environments. The data sets contain physiological and physical sensor signals of observers and survey reports that validate stress in the environments. The physiological stress signals in the data sets include electroencephalogram (EEG), electrocardiogram (ECG), galvanic skin response, blood pressure and the physical signals include eye gaze, pupil dilation and videos of faces in visible and thermal spectrums. Observer stress modelling systems were developed using analytics on the stress data sets. The systems generated stress features from the data and used these features to develop computational models based on techniques such as support vector machines and artificial neural networks to capture stress patterns. Some systems also optimised features using techniques such as genetic algorithm or correlation based techniques for developing models to capture better stress patterns for observer stress recognition. Additionally, a computational stress signal predictor system was developed to model temporal stress. This system was based on a novel combination of support vector machine, genetic algorithm and an artificial neural network. This thesis contributes a significant dimension to computational stress research. It investigates observer stress, proposes novel computational methods for stress, models stress with novel stress feature sets, and proposes a model for a temporal stress measure. The research outcomes provide an objective understanding on stress levels of observers, and environments based on observer perceptions. Further research suggested includes investigating models to manage stress conditions and observer behaviours.
Coro-da-soja Phyllophaga cuyabana.

Classificacao taxonomica; Ciclo biologico e comportamento; Distribuicao estacional e flutuacao populacional; Variacao temporal da populacao e movimentacao vertical de larvas no solo; Danos; Estrategias de manejo de P. cuyabana em lavouras de soja; Manipulacao de epoca de semeadura; Manejo de solo; Medidas para diminuir a populacao de larvas; Medidas para aumentar a tolerancia da soja a P. cuyabana; Outras alternativas de controle.
Gold-Standard Datasets for Annotation of Slovene Computer-Mediated Communication

This paper presents the ﬁrst publicly available, manually annotated gold-standard datasets for the annotation of Slovene Computer-Mediated Communication. In this type of language, diacritics, punctuation and spaces are often omitted, and phonetic spelling and slang words frequently used, which considerably deteriorates the performance of text processing tools that were trained on standard Slovene. Janes-Norm, which contains 7,816 texts or 184,766 tokens, is a gold-standard dataset for tokenisation, sentence segmentation and word normalisation, whereas Janes-Tag, comprising 2,958 texts or 75,276 tokens, was created for training and evaluating morphosyntactic tagging and lemmatisation tools for non-standard Slovene.
Average Energy Analysis in Wireless Sensor Networks using Multitier Architecture

The energy of sensor nodes plays a vital role in wireless sensor networks for different purposes such as sensing events, communicating among sensor nodes, and transmitting information from one node to another node. The average energy of the network is referred to as the ratio of the total energy of all sensor nodes in the network to the number of nodes. In this paper, multitier architecture is proposed for calculating the average energy and throughput of the network in terms of the number of packets reached at the base station (BS). The proposed approach has been compared with two existing approaches, the low energy adaptive clustering hierarchy and stable election protocol, in terms of average energy and throughput of the network. This paper presents the average energy of each node in the network in both 2D and 3D views for better interpretation of results. The proposed approach is 19.79% better in terms of average energy compared with the stable election protocol. The proposed approach is further compared with the low energy adaptive clustering hierarchy protocol and is found to be 34.20% better.
Dynamics in Rugged Energy Landscapes with Applications to the S-Peptide and Ribonuclease A

A simple means of computing the rate of conformational space sampling and energy transfer in computer simulations of biomolecules using replica molecular dynamics is described. The method is based on the idea that in an ergodic system trajectories should be self-averaging-properties measured over two independent trajectories must average to the same result. Replica molecular dynamics simulation is used to calculate the generalized ergodic measure and the rate of self-averaging for the force and potential energy for the S-peptide and RNase A enzyme over a range of temperatures from 40 to 400 K
ABCD2 score and secondary stroke prevention: Meta-analysis and effect per 1,000 patients triaged

Editors' Note: Commenting on “ABCD2 score and secondary stroke prevention: Meta-analysis and effect per 1,000 patients triaged,” Lima Filho et al. suggest that TIA clinics may be the best option for managing patients with TIA. Authors Wardlaw et al. agree and recommend admission to a stroke service when rapid access to outpatient stroke expertise is not available. Sethi et al. recently published a Teaching Neuro Image on a patient with migraine associated with red forehead dot syndrome and eyelid ecchymosis. The Teaching Neuro Image helped Monaghan and Smyth recognize the …
Non-parametric Structured Output Networks

Deep neural networks (DNNs) and probabilistic graphical models (PGMs) are the two main tools for statistical modeling. While DNNs provide the ability to model rich and complex relationships between input and output variables, PGMs provide the ability to encode dependencies among the output variables themselves. End-to-end training methods for models with structured graphical dependencies on top of neural predictions have recently emerged as a principled way of combining these two paradigms. While these models have proven to be powerful in discriminative settings with discrete outputs, extensions to structured continuous spaces, as well as performing efficient inference in these spaces, are lacking. We propose non-parametric structured output networks (NSON), a modular approach that cleanly separates a non-parametric, structured posterior representation from a discriminative inference scheme but allows joint end-to-end training of both components. Our experiments evaluate the ability of NSONs to capture structured posterior densities (modeling) and to compute complex statistics of those densities (inference). We compare our model to output spaces of varying expressiveness and popular variational and sampling-based inference algorithms.
Analysis of Monohydroxyeicosatetraenoic Acids and F2 -isoprostanes as Markers of Lipid Peroxidation in Rat Brain Mitochondria

We have introduced two specific techniques for the quantitative measurement of monohydroxyeicosatetraenoic acids (HETEs) and F2-isoprostanes by gas chromatography-mass spectrometry/negative ion chemical ionization (GC-MS/NICI) to study lipid peroxidation in isolated rat brain mitochondria by iron/ascorbate. The analysis of HETEs involved hydrogenation, solid phase extraction on a C18-cartridge, formation of pentafluorobenzyl bromide and trimethylsilyl ether derivatives. In the case of F2-isoprostanes, the analytical procedure was similar to that of HETEs except that the hydrogenation step was omitted. We found that HETE content (sum of 5-, 8-12-, and 15-isomers) in freshly prepared rat brain mitochondria was 220 - 40pmol/mg protein. The corresponding content for the F2-isoprostane, 8-iso-PGF 2α, was 0.21 - 0.10pmol/mg protein. HETEs and 8-iso-PGF 2α were predominantly present in the esterified form. The content of both HETEs and 8-iso-PGF 2α were increased in presence of iron/ascorbate as oxidation system. After 30min incubation with Fe2+ + ascorbate, the content of HETE isomers was increased about 6-fold compared with base-line levels whereas that for 8-iso-PGF2α was elevated 100-fold. Formation of HETEs and F2-isoprostanes corresponded to the consumption of arachidonic acid (AA) and α-tocopherol, respectively. There were almost no changes in the content of free (non-esterified) HETEs and 8-iso-PGF2α during the course of iron/ascorbate induced oxidation of the brain mitochondria. Our data provide the first direct evidence for the presence of HETEs and F2-isoprostanes in freshly isolated rat brain mitochondria and that esterified HETEs and 8-iso-PGF2α are predominantly generated during iron/ascorbate induced lipid peroxidation. Sensitive quantification of these products of non-enzymatic lipid peroxidation as indicators of oxidant injury opens new areas of investigation regarding the role of free radicals in the pathogenesis of human diseases. In addition, HETEs and F2-isoprostanes may be important mediators for mitochondrial functions.
Visual Acuity, Color Vision, and Visual Search Performance at Sea

Visual acuity and color vision were tested during a search and rescue exercise at sea. Fifty-seven watchkeepers searched for orange and yellow life rafts during daylight and for lighted and unlighted life rafts at night with night vision goggles. There were 588 individual watches of one hour each. Measures of wind, waves, and weather were used as covariates. Daytime percentage detection was positively correlated with low-contrast visual acuity and negatively correlated with error scores on Dvorine pseudoisochromatic plates and the Farnsworth color test. Performance was better during the first half-hour of the watch. Efficiency calculations show that color vision selective screening at one standard deviation above the mean would increase daylight search performance by 10% and that one standard deviation visual acuity selection screening would increase performance by 12%. There was no relationship between either acuity or color vision and life raft detection using night vision goggles.