Jones, Barry Owen (1932– ). Australian politician, writer and lawyer, born in Geelong. Educated at Melbourne University, he was a public servant, high school teacher, television and radio performer, ...university lecturer and lawyer before serving as a Labor MP in the Victorian Parliament 1972–77 and the Australian House of Representatives 1977–98. He took a leading role in reviving the Australian film industry, abolishing the death penalty in Australia, and was the first politician to raise public awareness of global warming, the 'post-industrial' society, the IT revolution, biotechnology, the rise of ‘the Third Age’ and the need to preserve Antarctica as a wilderness. In the Hawke Government, he was Minister for Science 1983–90, Prices and Consumer Affairs 1987, Small Business 1987–90 and Customs 1988–90. He became a member of the Executive Board of UNESCO, Paris 1991–95 and National President of the Australian Labor Party 1992–2000, 2005–06. He was Deputy Chairman of the Constitutional Convention 1998. His books include Decades of Decision 1860– (1965), Joseph II (1968), Age of Apocalypse (1975), and he edited The Penalty is Death (1968). Sleepers, Wake!: Technology and the Future of Work was published by Oxford University Press in 1982, became a bestseller and has been translated into Chinese, Japanese, Korean, Swedish and braille. The fourth edition was published in 1995. Knowledge Courage Leadership, a collection of speeches and essays, appeared in 2016. He received a DSc for his services to science in 1988 and a DLitt in 1993 for his work on information theory. Elected FTSE (1992), FAHA (1993), FAA (1996) and FASSA (2003), he is the only person to have become a Fellow of four of Australia’s five learned Academies. Awarded an AO in 1993, named as one of Australia’s 100 ‘living national treasures’ in 1997, he was elected a Visiting Fellow Commoner of Trinity College, Cambridge in 1999. His autobiography, A Thinking Reed, was published in 2006 and The Shock of Recognition, about music and literature, in 2016. In 2014 he received an AC for services ‘as a leading intellectual in Australian public life’. What Is to Be Done was published by Scribe in 2020. ; Jones, Barry Owen (1932– ). Australian politician, writer and lawyer, born in Geelong. Educated at Melbourne University, he was a public servant, high school teacher, television and radio performer, university lecturer and lawyer before serving as a Labor MP in the Victorian Parliament 1972–77 and the Australian House of Representatives 1977–98. He took a leading role in reviving the Australian film industry, abolishing the death penalty in Australia, and was the first politician to raise public awareness of global warming, the ‘post-industrial’ society, the IT revolution, biotechnology, the rise of ‘the Third Age’ and the need to preserve Antarctica as a wilderness. In the Hawke Government, he was Minister for Science 1983–90, Prices and Consumer Affairs 1987, Small Business 1987–90 and Customs 1988–90. He became a member of the Executive Board of UNESCO, Paris 1991–95 and National President of the Australian Labor Party 1992–2000, 2005–06. He was Deputy Chairman of the Constitutional Convention 1998. His books include Decades of Decision 1860– (1965), Joseph II (1968), Age of Apocalypse (1975), and he edited The Penalty is Death (1968). Sleepers, Wake!: Technology and the Future of Work was published by Oxford University Press in 1982, became a bestseller and has been translated into Chinese, Japanese, Korean, Swedish and braille. The fourth edition was published in 1995. Knowledge Courage Leadership, a collection of speeches and essays, appeared in 2016. He received a DSc for his services to science in 1988 and a DLitt in 1993 for his work on information theory. Elected FTSE (1992), FAHA (1993), FAA (1996) and FASSA (2003), he is the only person to have been elected to all four Australian learned Academies. Awarded an AO in 1993, named as one of Australia’s 100 ‘living national treasures’ in 1998, he was elected a Visiting Fellow Commoner of Trinity College, Cambridge in 1999. His autobiography, A Thinking Reed, was published in 2006 and The Shock of Recognition, about music and literature, in 2016. In 2014 he received an AC for services ‘as a leading intellectual in Australian public life’.
Estimating case fatality rates of COVID-19 Spychalski, Piotr; Błażyńska-Spychalska, Agata; Kobiela, Jarek
The Lancet infectious diseases,
07/2020, Letnik:
20, Številka:
7
Journal Article
Recenzirano
Odprti dostop
According to the Dictionary of Epidemiology, the mortality rate is an “estimate of the portion of a population that dies during a specified period”.2 In the case of this outbreak, the mortality rate ...over a period of 1 year per 100 000 Chinese citizens would be around 0·23 (as of March 16, 2020). ...precisely speaking, neither older estimates nor Baud and colleagues' new calculation can be referred to as the mortality rate. ...the denominator for the CFR might be either of these numbers. According to Wu and McGoogan's estimates based on 72 314 cases from Wuhan,4 81% of patients are classified as mild, 14% as severe, and 5% as critical.
Molecular gene-expression datasets consist of samples with tens of thousands of measured quantities (i.e., high dimensional data). However, lower-dimensional representations that retain the useful ...biological information do exist. We present a novel algorithm for such dimensionality reduction called Pathway Activity Score Learning (PASL). The major novelty of PASL is that the constructed features directly correspond to known molecular pathways (genesets in general) and can be interpreted as pathway activity scores. Hence, unlike PCA and similar methods, PASL’s latent space has a fairly straightforward biological interpretation. PASL is shown to outperform in predictive performance the state-of-the-art method (PLIER) on two collections of breast cancer and leukemia gene expression datasets. PASL is also trained on a large corpus of 50000 gene expression samples to construct a universal dictionary of features across different tissues and pathologies. The dictionary validated on 35643 held-out samples for reconstruction error. It is then applied on 165 held-out datasets spanning a diverse range of diseases. The AutoML tool JADBio is employed to show that the predictive information in the PASL-created feature space is retained after the transformation. The code is available at https://github.com/mensxmachina/PASL.
The Javanese language has various forms of affixed words. It makes people from other regions find it difficult to understand the Javanese language. One of the ways to understand the Javanese language ...is by studying and understanding Javanese vocabulary in the Javanese language dictionary or learning directly from ones who master the Javanese language. Both offline and online dictionaries have not been able to translate affixed words. This research used Nazief and Adriani Algorithm to find out the stems/root words in the Javanese language. The objective of this research is to apply the Nazief and Adriani Algorithm in stemming affixed words in the Javanese language. The subject discussed in this research is the application of stemming affixed Javanese words by using Nazief and Adriani algorithm. The stages started with identifying the affixes in the Javanese language. Nazief and Adriani algorithm has five steps those are detecting words that have affixes, cutting words that contain inflection suffixes, derivation suffixes and derivation prefixes, and last recording. The result of this research is a stemming application for affixed Javanese words that applies Nazief and Adriani algorithm method. Based on the accuracy test, it appears that 93.6% of words are accurate from the total of 219 words tested.
Video anomaly detection is of critical practical importance to a variety of real applications because it allows human attention to be focused on events that are likely to be of interest, in spite of ...an otherwise overwhelming volume of video. We show that applying self-trained deep ordinal regression to video anomaly detection overcomes two key limitations of existing methods, namely, 1) being highly dependent on manually labeled normal training data; and 2) sub-optimal feature learning. By formulating a surrogate two-class ordinal regression task we devise an end-to-end trainable video anomaly detection approach that enables joint representation learning and anomaly scoring without manually labeled normal/abnormal data. Experiments on eight real-world video scenes show that our proposed method outperforms state-of-the-art methods that require no labeled training data by a substantial margin, and enables easy and accurate localization of the identified anomalies. Furthermore, we demonstrate that our method offers effective human-in-the-loop anomaly detection which can be critical in applications where anomalies are rare and the false-negative cost is high.
Capturing the dynamics in user preference is crucial to better predict user future behaviors because user preferences often drift over time. Many existing recommendation algorithms - including both ...shallow and deep ones - often model such dynamics independently, i.e., user static and dynamic preferences are not modeled under the same latent space, which makes it difficult to fuse them for recommendation. This paper considers the problem of embedding a user's sequential behavior into the latent space of user preferences, namely translating sequence to preference . To this end, we formulate the sequential recommendation task as a dictionary learning problem, which learns: 1) a shared dictionary matrix , each row of which represents a partial signal of user dynamic preferences shared across users; and 2) a posterior distribution estimator using a deep autoregressive model integrated with Gated Recurrent Unit (GRU), which can select related rows of the dictionary to represent a user's dynamic preferences conditioned on his/her past behaviors. Qualitative studies on the Netflix dataset demonstrate that the proposed method can capture the user preference drifts over time and quantitative studies on multiple real-world datasets demonstrate that the proposed method can achieve higher accuracy compared with state-of-the-art factorization and neural sequential recommendation methods.
The article is part of the special issue of the journal on Charles P. Kindleberger (CPK). The article first summarizes CPK's professional biography and his historical method. Then particular ...attention is devoted to the study of international relations and the international financial and economic order. The article summarizes the main policy implications of Kindleberger's studies of geopolitical economy (or global political economy) and evaluates his main contribution in terms of a toolbox for effectively distinguishing ideal models and theories from the actual developments.
A partir de la comparación entre el uso documentado en corpus de anteojeras y rodillo y el uso registrado en diccionarios, sugiere tener en cuenta una serie puntos relativos al sentido figurado en la ...definición de sustantivos y las acepciones figuradas, para mejorar las prácticas lexicográficas observadas. Luis Fernando Lara ("La definición falsificada") analiza y sugiere cómo evitar tres tipos de errores definitorios (que llama "falsificaciones") : 1) los causados por una concepción equivocada de la naturaleza del signo lingüístico (comunes en la lexicografía de regionalismos); 2) los debidos a errores de conocimiento o de información (comunes en la definición de conceptos científicos o de especificidad cultural), y 3) los provocados por falta de distanciamiento entre los datos y la propia experiencia por parte del lexicógrafo. Por último, "Vocabulari definidor i metallengua en la definició lexicográfica", de Joan Soler, presenta los resultados de la tesis doctoral del investigador, que aborda el problema de la sistematización de la expresión del significado en diccionarios mediante el uso de una metalengua bien estructurada y basada en la lengua natural: un vocabulario definidor que supere los problemas comunes a este tipo de herramientas. Su trabajo hace una especie de reseña histórica del proyecto, en que son tratados asuntos metodológicos y de gestión editorial del proyecto (por ejemplo, la definición de las herramientas informáticas utilizadas y la selección del equipo de redacción), junto con explicar las características macro y microestructurales principales del diccionario.
This third edition of Historical Dictionary of the Kurds contains a chronology, an introduction, and an extensive bibliography. The dictionary section has over 700 cross-referenced entries on ...important personalities, politics, economy, foreign relations, religion, and culture of the Kurds.
The development of cloud manufacturing enables data-driven process monitoring methods to reflect the real industrial process states accurately and timely. However, traditional process monitoring ...methods cannot update learned models once they are deployed to edge devices, which leads to model mismatch when confronted time-varying data. In addition, limited resources on the edge prevent it from deploying complex models. Therefore, this article proposes a novel cloud-edge collaborative process monitoring method. First, historical data of industrial processes are collected to establish a dictionary learning model and train the dictionary and classifier in the cloud. Then, the model is simplified and deployed to the edge. The edge layer monitors the process states, including fault detection and working condition recognition, and determines whether a model mismatch has occurred based on an error-triggered strategy. Both numerical simulation and industrial roasting process results verify the superiority of the proposed method.
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