Surviving in violent conflicts: Chinese interpreters in the second Sino-Japanese War (1931-1945)

In the past decade interpreting studies has gradually adopted a sociological perspective, taking into account social and cultural factors that affect interpreters actual behaviour in different settings. However, there have been few studies of interpreters practices as forms of social interaction, especially of the ways in which they become professionals and operate as social agents. Drawing upon Pierre Bourdieus theory of practice, this thesis aims to offer a contribution to the history of interpreting by examining the professional training and practices of Chinese interpreters during the Second Sino-Japanese War (1931-1945). On the basis of Bourdieus concept of field, this thesis reconstructs three competing fields dominated by three political and military powers: the Chinese Kuomingtang (KMT) government, the Chinese Communist Party, and the Japanese forces. By investigating interpreters training, employment and practices within these three fields, the thesis examines how the interpreting profession was affected by shifts in foreign policy, and how interpreters professional habitus were formed through their training and interaction with other social agents and institutions. It then highlights the interpreters active position-taking in pursuit of individual interests by examining particular interpreters career development through case studies of two interpreters, Xia Wenyun and Yan Jiarui, who served the Japanese forces and the Chinese KMT government, respectively. The study shows that the practices of the interpreters were broader than the scope of language transfer. In order to survive violent conflicts, interpreters often intertwined their interpreting with other political and professional activities. For them, interpreting was not a mere linguistic practice, but a strategy for self-protection, a route to power, or just a chance for a better life. Frequently crossing social, political and military borders, interpreters sometimes played a crucial cushioning role by protecting local residents from loss of life and property during the war.

Justice and trust as antecedents of careerist orientation

Purpose – This paper aims to explore the antecedents of careerist orientations to work. Hypotheses are drawn from referent cognitions theory. First, it is proposed that trust mediates the relationship between an individual's perceptions of procedural justice and their careerist orientations to work. Second, perceptions of distributive justice, regarding the allocation of career development opportunities, will moderate the relationship between trust and careerist orientations to work. Design/methodology/approach – A total of 325 employees of a large UK financial institution completed a structured questionnaire. Regression analysis (using SPSS version 11) was used to test the presented hypotheses. Findings – All hypotheses were confirmed. However, the interaction effect observed was different from that hypothesised. It appears that trust only matters, in terms of the development of careerist orientations to work, when individuals feel that they are receiving equitable career development opportunities. Research limitations/implications – Much more research is required in different organisational contexts if one is to fully confirm and understand these relationships. However, these findings suggest that employers will only reduce the development of careerist attitudes in their workforce if they ensure the fair distribution of career development opportunities and engender trusting relations through the implementation of fair decision-making procedures. Originality/value – This paper adds much needed empirical research to the literature on new career realities and careerist orientations to work. Moreover, referent cognitions theory is presented as a new theoretical framework for understanding the cognitive processes involved in an individual's development of careerist attitudes.

How can HRM promote organizational innovation

Our work investigating managerial practices in UK manufacturing organisations has shown that people management practices play an important role in promoting innovation. Having developed an instrument to analyse innovation (defined by West and Farr in 1990 as “the intentional introduction and application in a job, work team or organisation of ideas, processes, products or procedures which are new, and designed to benefit the job, the work team or the organisation”), we were able to give each of the 30 organisations in our sample a score of between one and seven to capture innovation in a range of domains. This instrument took into account the magnitude of the innovation in terms of the number of people involved in its implementation, and how new and different it was. We found that much innovation involves relatively minor, ongoing improvements, rather than major change. To achieve sustained innovation, organisations must be able to draw upon the skills and knowledge of employees at all levels of the business. So which HRM practices are most likely to promote a positive learning environment? We developed a scale to take into account three facets of HRM that shape the learning environment and predict the extent to which individuals can gain the skills to promote innovation. First, organisations should have a vision statement capturing their approach to learning and development and communicating to staff the importance that they attach to these processes. Second, they must implement and endorse mentoring schemes. Last, they should consider offering staff the opportunity to have regular career development meetings. Where a positive learning climate exists, organisations tend to be more innovative. The results also show that organisations that make explicit the link between appraisal and remuneration perform relatively less well in innovation terms than those whose appraisal systems have no relationship with pay. Many have argued (for example, Lawler,1995) that pay-for-performance schemes provide a “line of sight” between performance and reward, thereby enabling individuals to make appropriate decisions about where best to direct the effort. Our findings do not imply that performance-related pay is ill advised in all circumstances, but we suggest that organisations should exercise caution before introducing such schemes. People are central to innovation, and this study suggests that high innovation can be achieved when people are empowered to make changes at local levels. HRM has an important, perhaps crucial, role to play in creating an environment that enables people to develop the skills and confidence necessary to affect change. Key points: Organisational innovation is an important determinant of competitive performance and advancement, enabling organisations to anticipate and respond to the challenges of globalisation. HRM has an important, perhaps crucial, role to play in promoting organisational innovation – to the extent that it creates a positive environment for learning and removes barriers that may inhibit creative performance (for example, linking appraisal to remuneration).

Data envelopment analysis model for the appraisal and relative performance evaluation of nurses at an intensive care unit

The appraisal and relative performance evaluation of nurses are very important and beneficial for both nurses and employers in an era of clinical governance, increased accountability and high standards of health care services. They enhance and consolidate the knowledge and practical skills of nurses by identification of training and career development plans as well as improvement in health care quality services, increase in job satisfaction and use of cost-effective resources. In this paper, a data envelopment analysis (DEA) model is proposed for the appraisal and relative performance evaluation of nurses. The model is validated on thirty-two nurses working at an Intensive Care Unit (ICU) at one of the most recognized hospitals in Lebanon. The DEA was able to classify nurses into efficient and inefficient ones. The set of efficient nurses was used to establish an internal best practice benchmark to project career development plans for improving the performance of other inefficient nurses. The DEA result confirmed the ranking of some nurses and highlighted injustice in other cases that were produced by the currently practiced appraisal system. Further, the DEA model is shown to be an effective talent management and motivational tool as it can provide clear managerial plans related to promoting, training and development activities from the perspective of nurses, hence increasing their satisfaction, motivation and acceptance of appraisal results. Due to such features, the model is currently being considered for implementation at ICU. Finally, the ratio of the number DEA units to the number of input/output measures is revisited with new suggested values on its upper and lower limits depending on the type of DEA models and the desired number of efficient units from a managerial perspective.

Collocation:applications and implications

All aspects of the concept of collocation – the phenomenon whereby words naturally tend to occur in the company of a restricted set of other words – are covered in this book. It deals in detail with the history of the word collocation, the concepts associated with it and its use in a linguistic context. The authors show the practical means by which the collocational behaviour of words can be explored using illustrative computer programs and examine applications in teaching, lexicography and natural language processing that use collocation in formation. The book investigates the place that collocation occupies in theories of language and provides a thoroughly comprehensive and up-to-date survey of the current position of collocation in language studies and applied linguistics. This text presents a comprehensive description of collocation, covering both the theoretical and practical background and the implications and applications of the concept as language model and analytical tool. It provides a definitive survey of currently available techniques and a detailed description of their implementation.

A cross-cultural approach to understanding entrepreneurial intention

The current research aims to shed light on the role of culture in the formation of career intentions. It draws on the Theory of Planned Behavior (TPB; Ajzen), which has been widely employed to predict intentions, including entrepreneurial career intentions, but past research has almost exclusively been conducted in "Western" countries. The current research specifically explores the extent to which both the strength of relationships of TPB predictors with entrepreneurial career intentions and the TPB predictors themselves are invariant across cultures. The study compares six very different countries (Germany, India, Iran, Poland, Spain, and the Netherlands), drawing on an overall sample of 1,074 students and their assessments of entrepreneurial career intentions. Results support culture universal effects of attitudes and perceived behavioral control (self-efficacy) on entrepreneurial career intentions but cultural variation in the effects of subjective norm. © The Curators of the University of Missouri 2012.

Expert System for Decision-Making Problem in Economics

An expert system (ES) is a class of computer programs developed by researchers in artificial intelligence. In essence, they are programs made up of a set of rules that analyze information about a specific class of problems, as well as provide analysis of the problems, and, depending upon their design, recommend a course of user action in order to implement corrections. ES are computerized tools designed to enhance the quality and availability of knowledge required by decision makers in a wide range of industries. Decision-making is important for the financial institutions involved due to the high level of risk associated with wrong decisions. The process of making decision is complex and unstructured. The existing models for decision-making do not capture the learned knowledge well enough. In this study, we analyze the beneficial aspects of using ES for decision- making process.

Constructing a Canonical form of a Matrix in Several Problems about Combinatorial Designs

Partially supported by the Bulgarian Science Fund contract with TU Varna, No 487.

Performance Comparison of MATLAB and Neuro Solution Software on Estimation of Fuel Economy by Using Artificial Neural Network

In the world, scientific studies increase day by day and computer programs facilitate the human’s life. Scientists examine the human’s brain’s neural structure and they try to be model in the computer and they give the name of artificial neural network. For this reason, they think to develop more complex problem’s solution. The purpose of this study is to estimate fuel economy of an automobile engine by using artificial neural network (ANN) algorithm. Engine characteristics were simulated by using “Neuro Solution” software. The same data is used in MATLAB to compare the performance of MATLAB is such a problem and show its validity. The cylinder, displacement, power, weight, acceleration and vehicle production year are used as input data and miles per gallon (MPG) are used as target data. An Artificial Neural Network model was developed and 70% of data were used as training data, 15% of data were used as testing data and 15% of data is used as validation data. In creating our model, proper neuron number is carefully selected to increase the speed of the network. Since the problem has a nonlinear structure, multi layer are used in our model.

User-centric music information retrieval

The rapid growth of the Internet and the advancements of the Web technologies have made it possible for users to have access to large amounts of on-line music data, including music acoustic signals, lyrics, style/mood labels, and user-assigned tags. The progress has made music listening more fun, but has raised an issue of how to organize this data, and more generally, how computer programs can assist users in their music experience. An important subject in computer-aided music listening is music retrieval, i.e., the issue of efficiently helping users in locating the music they are looking for. Traditionally, songs were organized in a hierarchical structure such as genre->artist->album->track, to facilitate the users’ navigation. However, the intentions of the users are often hard to be captured in such a simply organized structure. The users may want to listen to music of a particular mood, style or topic; and/or any songs similar to some given music samples. This motivated us to work on user-centric music retrieval system to improve users’ satisfaction with the system. The traditional music information retrieval research was mainly concerned with classification, clustering, identification, and similarity search of acoustic data of music by way of feature extraction algorithms and machine learning techniques. More recently the music information retrieval research has focused on utilizing other types of data, such as lyrics, user-access patterns, and user-defined tags, and on targeting non-genre categories for classification, such as mood labels and styles. This dissertation focused on investigating and developing effective data mining techniques for (1) organizing and annotating music data with styles, moods and user-assigned tags; (2) performing effective analysis of music data with features from diverse information sources; and (3) recommending music songs to the users utilizing both content features and user access patterns.

The impact of friends on newly immigrant children's emotional and behavioral adjustment

Immigration disrupts an individual's support network; however, the stresses of the immigration process increase the need for social support. The presence of social support becomes essential for immigrant children and adolescents to cope with these important transitional circumstances. Friends are both sources of social support and models for behavior. Furthermore, friendship networks are known to have a significant influence on youths' functioning. Literature suggests that peer relations become more important in adolescence and friend support is related to child and adolescent well-being. Thus, friend relationships may be particularly important for immigrant youths who experience disruption in their friendship networks during the process of migration to another country. In addition to friendship networks and support, friend characteristics also need to be taken into consideration as important factors for immigrant youth adjustment. My study involved analyses of the effects of friend support and friend problem behaviors on emotional and behavioral functioning for elementary, middle, and high school age newly immigrant children and adolescents. ^ Immigrant children and adolescents (N = 503) were interviewed at schools by interviewers fluent in participants' languages. Structural Equation Modeling (SEM) analyses revealed that friend support and friend problem behaviors were related to children's self-esteem and externalizing behaviors. In addition, friend problem behavior alone predicted children's psychological symptoms and depression scores. Furthermore, age/grade was found to be a moderator for the relation between friend problem behavior and immigrant youth behavioral adjustment such that compared to elementary and high school cohorts, middle school youths showed more externalizing behaviors when they had friends performing problem behaviors. ^ Results supported the idea that both friend support and friend behavior are related to newly immigrant youths' emotional and behavioral adjustment. This study informs further research and interventions concerning the development of programs to facilitate immigrant youths' adjustment by revealing friendship factors related to their adaptation.^

Pulsed parabolic equation model of acoustic transmission (PPEMAT)

Underwater sound is very important in the field of oceanography where it is used for remote sensing in much the same way that radar is used in atmospheric studies. One way to mathematically model sound propagation in the ocean is by using the parabolic-equation method, a technique that allows range dependent environmental parameters. More importantly, this method can model sound transmission where the source emits either a pure tone or a short pulse of sound. Based on the parabolic approximation method and using the split-step Fourier algorithm, a computer model for underwater sound propagation was designed and implemented. This computer model differs from previous models in its use of the interactive mode, structured programming, modular design, and state-of-the-art graphics displays. In addition, the model maximizes the efficiency of computer time through synchronization of loosely coupled dual processors and the design of a restart capability. Since the model is designed for adaptability and for users with limited computer skills, it is anticipated that it will have many applications in the scientific community.

Design and analysis of a folded meander dipole antenna using the MININEC program

The Mini-Numerical Electromagnetic Code (MININEC) program, a PC-Compatible version of the powerful NEC program, is used to design a new type of reduced-size antenna. The validity of the program to model simple well-known antennas, such as dipoles and monopoles, is first shown. More complex geometries such as folded dipoles, and meander dipole antennas are also analysed using the program. The final design geometry of a meander folded dipole is characterized with MININEC, yielding results that serve as the basis for the practical construction of the antenna. Finally, the laboratory work with a prototype antenna is described, and practical results are presented.

Uso de metamaterial em antenas de microfita com supercondutor

Metamaterials have attracted great attention in recent decades, due to their electromagnetic properties which are not found in nature. Since metamaterials are now synthesized by the insertion of artificially manufactured inclusions in a specified homogeneous medium, it became possible for the researcher to work with a wide collection of independent parameters, for example, the electromagnetic properties of the material. An investigation of the properties of ring resonators was performed as well as those of metamaterials. A study of the major theories that clearly explain superconductivity was presented. The BCS theory, London Equations and the Two-Fluid Model are theories that support the application of superconducting microstrip antennas. Therefore, this thesis presents theoretical, numerical and experimental-computational analysis using full-wave formalism, through the application of the Transverse Transmission Line – LTT method applied in the Fourier Transform Domain (FTD). The LTT is a full wave method, which, as a rule, obtains the electromagnetic fields in terms of the transverse components of the structure. The inclusion of the superconducting patch is performed using the complex resistive boundary condition. Results of resonant frequency as a function of antenna parameters are obtained. To validate the analysis, computer programs were developed using Fortran, simulations were created using the commercial software, with curves being drawn using commercial software and MATLAB, in addition to comparing the conventional patch with the superconductor as well as comparing a metamaterial substrate with a conventional one, joining the substrate with the patch, observing what improves on both cas