Korean Parental Beliefs About ELT From the Perspective of Teachers

In South Korea, as in many other parts of the world, children begin learning English when they are very young. Korean parents want their children to learn English as quickly as possible and often make heavy financial and other investments in their children’s English language education. English language teachers of school-age learners in Korea often feel pressure and in some cases criticism from parents regarding English language instruction. This article reports the results of a study designed to begin examining the perceptions that Korean parents hold regarding English language instruction. It illustrates how some of their beliefs reflect the latest language teaching research, whereas others are more indicative of traditional Korean belief systems, educational approaches, and methodologies.

Employment patterns in contemporary retailing:gender and work in five supermarkets

This article examines trends in patterns of employment within contemporary retailing. It focuses upon five supermarkets in the Lancaster area. In each store the proportion of part-timers had increased during the 1980s. There were marked differences in the proportions of female full-time and part-time employees who were married. Management reported similar perceptions of the relative advantages and disadvantages of employing married women within their stores. These belief systems coexisted with radically divergent recruitment strategies by these managements. These variations were embedded witnin typical recruitment strategies in each of the firms examined. -from Authors

Later prehistoric vegetation dynamics and Bronze Age agriculture at Hobbister, Orkney, Scotland

The Bronze Age in Britain was a time of major social and cultural changes, reflected in the division of the landscape into field systems and the establishment of new belief systems and ritual practices. Several hypotheses have been advanced to explain these changes, and assessment of many of them is dependent on the availability of detailed palaeoenvironmental data from the sites concerned. This paper explores the development of a later prehistoric landscape in Orkney, where a Bronze Age field system and an apparently ritually-deposited late Bronze Age axe head are located in an area of deep blanket peat from which high-resolution palaeoenvironmental sequences have been recovered. There is no indication that the field system was constructed to facilitate agricultural intensification, and it more likely reflects a cultural response to social fragmentation associated with a more dispersed settlement pattern. There is evidence for wetter conditions during the later Bronze Age, and the apparent votive deposit may reflect the efforts of the local population to maintain community integrity during a time of perceptible environmental change leading to loss of farmland. The study emphasises the advantages of close integration of palaeoenvironmental and archaeological data for interpretation of prehistoric human activity. The palaeoenvironmental data also provide further evidence for the complexity of prehistoric woodland communities in Orkney, hinting at greater diversity than is often assumed. Additionally, differing dates for woodland decline in the two sequences highlight the dangers of over-extrapolation from trends observed in a single pollen profile, even at a very local scale.

Human rights and traditional values

A series of ‘traditional values’ resolutions, passed by the UN Human Rights Council in 2009, 2011, and 2012, were the result of a highly controversial initiative spearheaded by Russia. Do these ‘traditional values’ underpin human rights? If not, why are religious traditions or, indeed, any traditional values worth preserving at all? Why are they valuable from the point of view of adherents to that tradition? Should the larger society take into account the fact that a practice is based on tradition in deciding whether or not to override it in the name of human rights? Put more technically, in what does the normativity of tradition lie, for adherents and non-adherents of that tradition? These are the questions that this essay explores, in the context of the recent debates over the scope and meaning of human rights stimulated by the Human Rights Council Resolutions. Much of the support for the Resolutions comes from what can broadly be called the global South. In several books, particularly Human Rights, Southern Voices, and General Jurisprudence: Understanding Law from a Global Perspective William Twining has explored the question of how to reconcile human rights norms and belief systems embedded in the global South (including ‘traditional values’), and in doing so has drawn particular attention to intellectuals from that part of the world, in particular Francis Deng, Yash Ghai, Abdullahi An-Na’im, and Upendra Baxi. I suggest that those concerned to recognize the legitimate concerns that significant sections of the global South have about the human rights project, concerns reflected in the ‘traditional values’ Resolutions would do well to pay more attention to the ‘Southern voices’ on whom Twining rightly focuses attention.

PROSTATIC INTRAEPITHELIAL NEOPLASIA (PIN) - PERFORMANCE OF BAYESIAN BELIEF NETWORK FOR DIAGNOSIS AND GRADING

Prostatic intraepithelial neoplasia (PIN) diagnosis and grading are affected by uncertainties which arise from the fact that almost all knowledge of PIN histopathology is expressed in concepts, descriptive linguistic terms, and words. A Bayesian belief network (BBN) was therefore used to reduce the problem of uncertainty in diagnostic clue assessment, while still considering the dependences between elements in the reasoning sequence. A shallow network was used with an open-tree topology, with eight first-level descendant nodes for the diagnostic clues (evidence nodes), each independently linked by a conditional probability matrix to a root node containing the diagnostic alternatives (decision node). One of the evidence nodes was based on the tissue architecture and the others were based on cell features. The system was designed to be interactive, in that the histopathologist entered evidence into the network in the form of likelihood ratios for outcomes at each evidence node. The efficiency of the network was tested on a series of 110 prostate specimens, subdivided as follows: 22 cases of non-neoplastic prostate or benign prostatic tissue (NP), 22 PINs of low grade (PINlow), 22 PINs of high grade (PINhigh), 22 prostatic adenocarcinomas with cribriform pattern (PACcri), and 22 prostatic adenocarcinomas with large acinar pattern (PAClgac). The results obtained in the benign and malignant categories showed that the belief for the diagnostic alternatives is very high, the values being in general more than 0.8 and often close to 1.0. When considering the PIN lesions, the network classified and graded most of the cases with high certainty. However, there were some cases which showed values less than 0.8 (13 cases out of 44), thus indicating that there are situations in which the feature changes are intermediate between contiguous categories or grades. Discrepancy between morphological grading and the BBN results was observed in four out of 44 PIN cases: one PINlow was classified as PINhigh and three PINhigh were classified as PINlow. In conclusion, the network can grade PlN lesions and differentiate them from other prostate lesions with certainty. In particular, it offers a descriptive classifier which is readily implemented and which allows the use of linguistic, fuzzy variables.

Belief change with noisy sensing in the situation calculus

Situation calculus has been applied widely in arti?cial intelligence to model and reason about actions and changes in dynamic systems. Since actions carried out by agents will cause constant changes of the agents’ beliefs, how to manage
these changes is a very important issue. Shapiro et al. [22] is one of the studies that considered this issue. However, in this framework, the problem of noisy sensing, which often presents in real-world applications, is not considered. As a
consequence, noisy sensing actions in this framework will lead to an agent facing inconsistent situation and subsequently the agent cannot proceed further. In this paper, we investigate how noisy sensing actions can be handled in iterated
belief change within the situation calculus formalism. We extend the framework proposed in [22] with the capability of managing noisy sensings. We demonstrate that an agent can still detect the actual situation when the ratio of noisy sensing actions vs. accurate sensing actions is limited. We prove that our framework subsumes the iterated belief change strategy in [22] when all sensing actions are accurate. Furthermore, we prove that our framework can adequately handle belief introspection, mistaken beliefs, belief revision and belief update even with noisy sensing, as done in [22] with accurate sensing actions only.

Deep Salience: Visual Salience Modeling via Deep Belief Propagation

Visual salience is an intriguing phenomenon observed in biological neural systems. Numerous attempts have been made to model visual salience mathematically using various feature contrasts, either locally or globally. However, these algorithmic models tend to ignore the problem’s biological solutions, in which visual salience appears to arise during the propagation of visual stimuli along the visual cortex. In this paper, inspired by the conjecture that salience arises from deep propagation along the visual cortex, we present a Deep Salience model where a multi-layer model based on successive Markov random fields (sMRF) is proposed to analyze the input image successively through its deep belief propagation. As a result, the foreground object can be automatically separated from the background in a fully unsupervised way. Experimental evaluation on the benchmark dataset validated that our Deep Salience model can consistently outperform eleven state-of-the-art salience models, yielding the higher rates in the precision-recall tests and attaining the best F-measure and mean-square error in the experiments.