A Quasi-Newton Adaptive Algorithm for Generalized Symmetric Eigenvalue Problem

In this paper, we first recast the generalized symmetric eigenvalue problem, where the underlying matrix pencil consists of symmetric positive definite matrices, into an unconstrained minimization problem by constructing an appropriate cost function, We then extend it to the case of multiple eigenvectors using an inflation technique, Based on this asymptotic formulation, we derive a quasi-Newton-based adaptive algorithm for estimating the required generalized eigenvectors in the data case. The resulting algorithm is modular and parallel, and it is globally convergent with probability one, We also analyze the effect of inexact inflation on the convergence of this algorithm and that of inexact knowledge of one of the matrices (in the pencil) on the resulting eigenstructure. Simulation results demonstrate that the performance of this algorithm is almost identical to that of the rank-one updating algorithm of Karasalo. Further, the performance of the proposed algorithm has been found to remain stable even over 1 million updates without suffering from any error accumulation problems.

A probabilistic constrained nonlinear optimization framework to optimize RED parameters

The random early detection (RED) technique has seen a lot of research over the years. However, the functional relationship between RED performance and its parameters viz,, queue weight (omega(q)), marking probability (max(p)), minimum threshold (min(th)) and maximum threshold (max(th)) is not analytically availa ble. In this paper, we formulate a probabilistic constrained optimization problem by assuming a nonlinear relationship between the RED average queue length and its parameters. This problem involves all the RED parameters as the variables of the optimization problem. We use the barrier and the penalty function approaches for its Solution. However (as above), the exact functional relationship between the barrier and penalty objective functions and the optimization variable is not known, but noisy samples of these are available for different parameter values. Thus, for obtaining the gradient and Hessian of the objective, we use certain recently developed simultaneous perturbation stochastic approximation (SPSA) based estimates of these. We propose two four-timescale stochastic approximation algorithms based oil certain modified second-order SPSA updates for finding the optimum RED parameters. We present the results of detailed simulation experiments conducted over different network topologies and network/traffic conditions/settings, comparing the performance of Our algorithms with variants of RED and a few other well known adaptive queue management (AQM) techniques discussed in the literature.

Twitter hashtags from ad hoc to calculated publics

As the use of Twitter has become more commonplace throughout many nations, its role in political discussion has also increased. This has been evident in contexts ranging from general political discussion through local, state, and national elections (such as in the 2010 Australian elections) to protests and other activist mobilisation (for example in the current uprisings in Tunisia, Egypt, and Yemen, as well as in the controversy around Wikileaks). Research into the use of Twitter in such political contexts has also developed rapidly, aided by substantial advancements in quantitative and qualitative methodologies for capturing, processing, analysing, and visualising Twitter updates by large groups of users. Recent work has especially highlighted the role of the Twitter hashtag – a short keyword, prefixed with the hash symbol ‘#’ – as a means of coordinating a distributed discussion between more or less large groups of users, who do not need to be connected through existing ‘follower’ networks. Twitter hashtags – such as ‘#ausvotes’ for the 2010 Australian elections, ‘#londonriots’ for the coordination of information and political debates around the recent unrest in London, or ‘#wikileaks’ for the controversy around Wikileaks thus aid the formation of ad hoc publics around specific themes and topics. They emerge from within the Twitter community – sometimes as a result of pre-planning or quickly reached consensus, sometimes through protracted debate about what the appropriate hashtag for an event or topic should be (which may also lead to the formation of competing publics using different hashtags). Drawing on innovative methodologies for the study of Twitter content, this paper examines the use of hashtags in political debate in the context of a number of major case studies.

A Hierarchical System of Learning Automata

A learning automaton operating in a random environment updates its action probabilities on the basis of the reactions of the environment, so that asymptotically it chooses the optimal action. When the number of actions is large the automaton becomes slow because there are too many updatings to be made at each instant. A hierarchical system of such automata with assured c-optimality is suggested to overcome that problem.The learning algorithm for the hierarchical system turns out to be a simple modification of the absolutely expedient algorithm known in the literature. The parameters of the algorithm at each level in the hierarchy depend only on the parameters and the action probabilities of the previous level. It follows that to minimize the number of updatings per cycle each automaton in the hierarchy need have only two or three actions.

Diseases of fruit crops in Australia.

Diseases of Fruit Crops in Australia is the new standard reference in applied plant pathology in Australia covering important diseases affecting the broad range of fruit and nut crops grown throughout Australia. It is an essential tool for growers, horticulturists, crop consultants, research scientists, plant pathologists, quarantine officers, agribusiness representatives, pest management personnel, educators and students. The book is generously illustrated with high quality colour images to help diagnose diseases. It explains how to identify and manage each disease, describing the symptoms, its importance, the source of infection and spread, and control measures. Based on the highly regarded 1993 edition of Diseases of Fruit Crops, this new work updates management practices that have evolved since then. Importantly, it contains the latest information on diseases that have recently emerged in Australia as well as exotic diseases that are biosecurity threats to Australian fruit and nut production.

Mallimestari globalisoituneen sarjatuotannon situationaalisessa prosessissa : Kokemustutkimus

In this thesis, taking place within the clothing industry of Finland, the impact of the globalisation of the economy on the pattern maker s job was studied and the present day fields of know-how of the job were found out. The thesis answers the questions, what are the characteristics of the patternmaker s job nowadays, and what areas of the know-how in the patternmaker s job form the core know-how, which is repeated in every organisation. Earlier studies of the subject do not exist in Finland. Similar studies have been made in USA (Staples 1993) and in Estonia (2002). Patternmakers who took part in this study were located in the Finnish clothing companies manufacturing or having clothes manufactured in series production, like clothing industry or chain of stores. A methodical triangulation was used in the thesis. In a phenomenological research of experience seven patternmakers were interviewed and in a quantitative research 26 patternmakers filled in a structured questionnaire. The phenomenological analysis has 2 parts. In the first phase using the professional background of the patternmakers, the historical development of the clothing industry for the last 40 years was described. In the second phase of the phenomenological analysis the description of the patternmaker s job was created based on the organisational strategy of the companies nowadays. The analysis of quantitative research material was performed by one-dimensional study of variables, where the variations in the amounts of variables lead to proportional conclusions. As a result of the structured questionnaire, the core know-how of the patternmaker was pointed out. In the thesis, the concept of situationality was used to describe the continuous change in the clothing industry. This explains the continuous requirement of patternmakers commitment to the time and location. The researcher has a background of a patternmaker and she works as a specialist instructor. With the thesis the researcher updates her professional competence. The analysis of the patternmaker s job can be used to update the content of patternmakers education in the vocational schools.

Genetic Options for nematode control

Root-lesion nematodes (Pratylenchus thornei and P. neglectus) cause severe economic loss in wheat in Australia. This project aims to develop adaptaed wheat lines with resistance and tolerance to both species. These lines will be made available to Australian wheat breeding companies for further crossing and development of resistant and tolerant wheat varieties. Sources of resistance will be synthetic hexaploid and landrace wheats from the Middle East. Suitable double haploid populations will be phenotyped for the development of molecular markers to resistance and tolerance genes. The value of resistance and tolerance will be extended to growers through collaboration in demonstration trials with NGA and ORANA and presentations at GRDC Updates.

Improvement of hardwood drying schedules.

Drying regrowth native hardwoods to satisfactory moisture levels is a significant challenge for the processing industry. Dried quality is becoming increasingly important as sawn hardwood continues to move away from structural markets into appearance applications, but more difficult to achieve as the resource mix being processed becomes younger. An accurate, predictive drying model is a powerful tool in schedule development, decreasing the reliance on expensive, repetitive drying trials. This project updates the KilnSched drying model to allow the drying behaviour of regrowth blackbutt, jarrah, messmate, spotted gum and Victorian ash to be modeled more accurately. The effect of high temperature drying and humidity treatments on spotted gum were also investigated, as was the economics of various drying methods on spotted gum and blackbutt.

APSIM – Evolution towards a new generation of agricultural systems simulation

Agricultural systems models worldwide are increasingly being used to explore options and solutions for the food security, climate change adaptation and mitigation and carbon trading problem domains. APSIM (Agricultural Production Systems sIMulator) is one such model that continues to be applied and adapted to this challenging research agenda. From its inception twenty years ago, APSIM has evolved into a framework containing many of the key models required to explore changes in agricultural landscapes with capability ranging from simulation of gene expression through to multi-field farms and beyond. Keating et al. (2003) described many of the fundamental attributes of APSIM in detail. Much has changed in the last decade, and the APSIM community has been exploring novel scientific domains and utilising software developments in social media, web and mobile applications to provide simulation tools adapted to new demands. This paper updates the earlier work by Keating et al. (2003) and chronicles the changing external challenges and opportunities being placed on APSIM during the last decade. It also explores and discusses how APSIM has been evolving to a “next generation” framework with improved features and capabilities that allow its use in many diverse topics.

Juden, Juden, Juden : juedische Chronik zu Juden, Judentum, juedischer Geschichte und Geschichte des Heiligen Landes, der Heiligen Schrift(en) sowie zur Geschichte Israels, des Antijudaismus, Antisemitismus, der Shoah und des Zionismus von den Anfaengen bis in die Gegenwart, vermehrt um allerlei Wissenswertes und Kurioses aus der juedischen (und nichtjuedischen) Welt - teilweise ergaenzt um Angaben zu geschichtlichen Ereignissen von allgemeiner Bedeutung /

Bd. 1. Bis 7. November 1862. - 2008. - 556 p. -- Bd. 2. 26. November 1862-11. Februar 1909. - 2008. - 560 p. -- Bd. 3. Ab 5. Maerz 1909 [until November 20, 2006]. - 2008. - 560 p.

The 2015 IWGDF guidance documents on prevention and management of foot problems in diabetes: Development of an evidence-based global consensus

Foot problems complicating diabetes are a source of major patient suffering and societal costs. Investing in evidence-based, internationally appropriate diabetic foot care guidance is likely among the most cost-effective forms of healthcare expenditure, provided it is goal-focused and properly implemented. The International Working Group on the Diabetic Foot (IWGDF) has been publishing and updating international Practical Guidelines since 1999. The 2015 updates are based on systematic reviews of the literature, and recommendations are formulated using the Grading of Recommendations Assessment Development and Evaluation system. As such, we changed the name from 'Practical Guidelines' to 'Guidance'. In this article we describe the development of the 2015 IWGDF Guidance documents on prevention and management of foot problems in diabetes. This Guidance consists of five documents, prepared by five working groups of international experts. These documents provide guidance related to foot complications in persons with diabetes on: prevention; footwear and offloading; peripheral artery disease; infections; and, wound healing interventions. Based on these five documents, the IWGDF Editorial Board produced a summary guidance for daily practice. The resultant of this process, after reviewed by the Editorial Board and by international IWGDF members of all documents, is an evidence-based global consensus on prevention and management of foot problems in diabetes. Plans are already under way to implement this Guidance. We believe that following the recommendations of the 2015 IWGDF Guidance will almost certainly result in improved management of foot problems in persons with diabetes and a subsequent worldwide reduction in the tragedies caused by these foot problems.

Vibration-rotation pattern in acetylene. II. Introduction of Coriolis coupling in the global model and analysis of emission spectra of hot acetylene around 3 mu m

A high temperature source has been developed and coupled to a high resolution Fourier transform spectrometer to record emission spectra of acetylene around 3 mu m up to 1455 K under Doppler limited resolution (0.015 cm(-1)). The nu(3)-ground state (GS) and nu(2)+nu(4)+nu(5)(Sigma(+)(u) and Delta(u))-GS bands and 76 related hot bands, counting e and f parities separately, are assigned using semiautomatic methods based on a global model to reproduce all related vibration-rotation states. Significantly higher J-values than previously reported are observed for 40 known substates while 37 new e or f vibrational substates, up to about 6000 cm(-1), are identified and characterized by vibration-rotation parameters. The 3 811 new or improved data resulting from the analysis are merged into the database presented by Robert et al. [Mol. Phys. 106, 2581 (2008)], now including 15 562 lines accessing vibrational states up to 8600 cm(-1). A global model, updated as compared to the one in the previous paper, allows all lines in the database to be simultaneously fitted, successfully. The updates are discussed taking into account, in particular, the systematic inclusion of Coriolis interaction.

A mobile app offering distractions and tips to cope with cigarette craving: A qualitative study

Background Despite considerable effort, most smokers relapse within a few months after quitting due to cigarette craving. The widespread adoption of mobile phones presents new opportunities to provide support during attempts to quit. Objective To design and pilot a mobile app "DistractMe" to enable quitters to access and share distractions and tips to cope with cigarette cravings. Methods A qualitative study with 14 smokers who used DistractMe on their mobiles during the first weeks of their quit attempt. Based on interviews, diaries, and log data, we examined how the app supported quitting strategies. Results Three distinct techniques of coping when using DistractMe were identified: diversion, avoidance, and displacement. We further identified three forms of engagement with tips for coping: preparation, fortification, and confrontation. Overall, strategies to prevent cravings and their effects (avoidance, displacement, preparation, and fortification) were more common than immediate coping strategies (diversion and confrontation). Tips for coping were more commonly used than distractions to cope with cravings, because they helped to fortify the quit attempt and provided opportunities to connect with other users of the application. However, distractions were important to attract new users and to facilitate content sharing. Conclusions Based on the qualitative results, we recommend that mobile phone-based interventions focus on tips shared by peers and frequent content updates. Apps also require testing with larger groups of users to assess whether they can be self-sustaining.

The Australian Nonprofit Sector Legal Almanac 2015

Collected summaries of court cases involving nonprofit organisations, from Australia and overseas, during 2015, along with updates of legislative changes in all Australian jurisdictions. Significant Australian cases included several disputes with State Revenue Authorities about exemption from payroll taxes.

A feedback-based algorithm forMotion analysis with application to object tracking

We present a motion detection algorithm which detects direction of motion at sufficient number of points and thus segregates the edge image into clusters of coherently moving points. Unlike most algorithms for motion analysis, we do not estimate magnitude of velocity vectors or obtain dense motion maps. The motivation is that motion direction information at a number of points seems to be sufficient to evoke perception of motion and hence should be useful in many image processing tasks requiring motion analysis. The algorithm essentially updates the motion at previous time using the current image frame as input in a dynamic fashion. One of the novel features of the algorithm is the use of some feedback mechanism for evidence segregation. This kind of motion analysis can identify regions in the image that are moving together coherently, and such information could be sufficient for many applications that utilize motion such as segmentation, compression, and tracking. We present an algorithm for tracking objects using our motion information to demonstrate the potential of this motion detection algorithm.