Combining Stream Mining and Neural Networks for Short Term Delay Prediction

The systems monitoring the location of public transport vehicles rely on wireless transmission. The location readings from GPS-based devices are received with some latency caused by periodical data transmission and temporal problems preventing data transmission. This negatively affects identification of delayed vehicles. The primary objective of the work is to propose short term hybrid delay prediction method. The method relies on adaptive selection of Hoeffding trees, being stream classification technique and multilayer perceptrons. In this way, the hybrid method proposed in this study provides anytime predictions and eliminates the need to collect extensive training data before any predictions can be made. Moreover, the use of neural networks increases the accuracy of the predictions compared with the use of Hoeffding trees only

Interspecies reactivity and intraspecies specificity of antilymphoid globulin

Horse antihuman and antidog antilymphocyte globulins were shown to possess leukoagglutinating antibodies when tested against the white cells from a number of other divergent species. In addition, the white cells of individuals within the species against which immunization was originally conducted were variably affected by the immune globulin. The latter observation suggests that these globulins could be more effective in some cases than in others if they were used therapeutically for their immunosuppressive qualities. © 1967

Tools for creating interactive teaching environments

Although learning-by-doing is one of the most effective teaching and learning methodology, its application to some disciplines, such as history, is difficult even when using complex simulation environments. One possible solution is to combine learning-by-doing principles with gaming elements to create immersive and interesting virtual environments. Unfortunately, the level of programming required to create such environments makes it prohibitive for most educators. We describe the Graphical Interactive Fiction Toolkit, GIFT, system we have created that allows educators and writers to easily create interactive stories. While programmers will still be required for complex interactive environments, we believe GIFT can lower the entry bar and allow much richer set of interactive environments to be produced

On Glauber modes in Soft-Collinear Effective Theory

Gluon interactions involving spectator partons in collisions at hadronic machines are investigated. We find a class of examples in which a mode, called Glauber gluons, must be introduced to the effective theory for consistency.Comment: 19 pages, three figures. Uses JHEP3.cl

Mapping Postgraduate Research at the University of Zambia: A review of dissertations for the Master of Medicine Programme

Background: The publication of a dissertation is an integral part of the four-year postgraduate degree of Master of Medicine (in clinical disciplines) within the School of Medicine at the University of Zambia. The governing research policy states that the subject matter of the dissertation is expected to cover a topic relevant to health care in the Zambian context, that it be conducted in a way that is consistent with international ethical guidelines for biomedical research involving human subjects, and that research outcomes should be maximally utilized. The aim of the study is to explore the characteristics of the Masters of Medicine research at the University of Zambia.Methodology: This descriptive study explores the subject matter and research methodology by type of clinical specialty of all dissertations from 1986 to 2009.Results: The 132 dissertations included 36 (27.3%) in Surgery, 35 (26.5%) in Paediatrics, 32 (24.2%) in Internal Medicine, 24 (18.2%) in Obstetrics and Gynaecology, and 5 (3.8%) in Orthopaedic Surgery. Only 7 (5.3%) were interventional/experimental studies (4 of which were randomized controlled trials). Cross-sectional studies were the predominant type of the 125 observational studies (n=112, 84.8%). Thirty-three dissertations (25.0%) predominantly addressed HIV (16 Internal Medicine, 10 Paediatrics, 6 Surgery and 1 Obstetrics and Gynaecology); and 18 (13.6%) predominantly addressed infections, excluding TB (11 in Paediatrics). Other subjects included malignancy (n=6), TB (n=5), and diabetes mellitus (n=4). Over half of the dissertations (76, 57.6%) addressed the determinants of the cause, risk and development of diseases; and a third dealt with management and evaluation of diseases (26 and 18, respectively).Conclusions: Few dissertations were based on experimental designs and most addressed determinants of the cause of diseases through crosssectional studies. HIVand infections predominate as diseases reflecting the prevailing disease patterns in Lusaka in particular, and Zambia in general. Keywords: UNZA, Postgraduate, Researc

Cardiovascular magnetic resonance reference ranges for the heart and aorta in Chinese at 3T.

Cardiovascular magnetic resonance (CMR) reference ranges have not been well established in Chinese. Here we determined normal cardiac and aortic reference ranges in healthy Singaporean Chinese and investigated how these data might affect clinical interpretation of CMR scans.In 180 healthy Singaporean Chinese (20 to 69 years old; males, n = 91), comprehensive cardiac assessment was performed using the steady state free precision technique (3T Ingenia, Philips) and images were analysed by two independent observers (CMR42, Circle Cardiovascular Imaging). Measurements were internally validated using standardized approaches: left ventricular mass (LVM) was measured in diastole and systole (with and without papillary muscles) and stroke volumes were compared in both ventricles. All reference ranges were stratified by sex and age; and indeterminate/borderline regions were defined statistically at the limits of the normal reference ranges. Results were compared with clinical measurements reported in the same individuals.LVM was equivalent in both phases (mean difference 3.0 ± 2.5 g; P = 0.22) and stroke volumes were not significantly different in the left and right ventricles (P = 0.91). Compared to females, males had larger left and right ventricular volumes (P  0.05 for all measures). In both sexes, age correlated negatively with left and right ventricular volumes; and positively with aortic sinus and sinotubular junction diameters (P < 0.0001 for all). There was excellent agreement in indexed stroke volumes in the left and right ventricles (0.1±5.7 mL/m2, 0.7±6.2 mL/m2, respectively), LVM (0.6±6.4 g/m2), atrial sizes and aortic root dimensions between values reported in clinical reports and our measured reference ranges.Comprehensive sex and age-corrected CMR reference ranges at 3T have been established in Singaporean Chinese. This is an important step for clinical practice and research studies of the heart and aorta in Asia

Direct photon production with effective field theory

The production of hard photons in hadronic collisions is studied using Soft-Collinear Effective Theory (SCET). This is the first application of SCET to a physical, observable cross section involving energetic partons in more than two directions. A factorization formula is derived which involves a non-trivial interplay of the angular dependence in the hard and soft functions, both quark and gluon jet functions, and multiple partonic channels. The relevant hard, jet and soft functions are computed to one loop and their anomalous dimensions are determined to three loops. The final resummed inclusive direct photon distribution is valid to next-to-next-to-leading logarithmic order (NNLL), one order beyond previous work. The result is improved by including non-logarithmic terms and photon isolation cuts through matching, and compared to Tevatron data and to fixed order results at the Tevatron and the LHC. The resummed cross section has a significantly smaller theoretical uncertainty than the next-to-leading fixed-order result, particularly at high transverse momentum.Comment: 42 pages, 9 figures; v2: references added, minor changes; v3: typos; v4: typos, corrections in (16), (47), (72

A review of the potential issues of pollution caused by the Mineral elements, Mercury, Lead and Arsenic, its possible impacts on the human beings and the suggested solutions

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Learning preferences for large scale multi-label problems

Despite that the majority of machine learning approaches aim to solve binary classification problems, several real-world applications require specialized algorithms able to handle many different classes, as in the case of single-label multi-class and multi-label classification problems. The Label Ranking framework is a generalization of the above mentioned settings, which aims to map instances from the input space to a total order over the set of possible labels. However, generally these algorithms are more complex than binary ones, and their application on large-scale datasets could be untractable. The main contribution of this work is the proposal of a novel general online preference-based label ranking framework. The proposed framework is able to solve binary, multi-class, multi-label and ranking problems. A comparison with other baselines has been performed, showing effectiveness and efficiency in a real-world large-scale multi-label task