Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing a discourse for CPD leadership in the secondary school sector in England

This study was founded upon an assumption that the discourses of leadership and Continuing Professional Development (CPD) in England are different, and that leading CPD in England is complex and difficult to manage. The overall goal was first to develop a shared understanding of concepts of CPD leadership which underpin the complexity, and second to assist overcoming the confusion. Both the assumption and the stated goal emanate from the researcher’s own professional position. The researcher is professionally active in the field, as a provider of CPD, and also as a representative of the University sector. As chair of the Universities’ Council for the Education of Teachers (UCET) CPD committee, the researcher has lobbied for academically accredited CPD. This presupposes a respect for teachers’ criticality and a reflective approach to Government proposed policy. The work examines policies and practices of CPD since 2000. Significant organisations (e.g. General Teaching Council for England, Training and Development Agency for Schools, National College of Leadership for Schools and Children’s Services) have based their work on a number of concepts which have contributed to a confusion and complexity for leaders of CPD tasked with shaping practice. The initial literature review showed how concepts associated with CPD leadership are emerging, and that therefore any research could not be based upon a static focus. The study explored concepts of educational leadership, noting the emphasis on individual styles, behaviours and performance of leaders. This analysis contrasted with findings that CPD is more focussed on the collective effort of professionals. The study is based upon professionally focussed research. Findings varied according to different stakeholder groups’ attitudes and tacit understandings. The methodology adopted was essentially qualitative and consisted of approaches and techniques associated with phenomenology, action research and grounded theory. Although the term ‘discourse’ is frequently used, it is in the sense of ‘discourse analysis’, rather than of ‘discourse theory’. Outcomes of the work were the identification of four dimensions, which may be seen to drive CPD leadership, and which served to provide an underpinning framework to help the analysis of the research. The uncovering of nine variables, which determine the emphasis contained within different approaches to CPD, served as finer detail to aid CPD leaders. These perspectives were developed into a survey tool, and served as stimuli for interviews. Use of the survey and interviews provided data sets for close scrutiny, leading to a visual representation of different stakeholder perspectives, and indications of how and why each group differed from others. The findings also showed areas of agreement and shared understanding. The work ends with a consideration of how identifying the concepts and perspectives underpinning a CPD initiative can assist CPD leaders in shaping their behaviour and practice.
Real-time Facial Animation through Internet

This paper describes an experiment to transfer pa-rameterized face data across Internet. Face data is transferred using RTP based on UDP. In unicast scenario , rate adaptation is achieved by lost rate feedback. In multicast scenario, we design a method based on receiver-driven layered multicast. For lost and delayed frames, we propose graphics compensation algorithms to improve the quality of animation. Parabola is used for prediction and cubic spline for interpolation. A fast calculation method is also developed for this special problem.
Advanced mechatronics course based on wheeled mobile robots and real-time embedded control experimental setups

In recent years the use of personal robotic platforms and their applications increased significantly. Among the various disciplines of engineering, currently mechatronics and robotics are among the most popular and most promising in the industrial field. Mechatronics brings together disciplines such as mechanics, electronics, industrial control and computation. On the other hand Mechatronics and robotics can be a useful means to increase the motivation of students and workers in their training process. In this regard, this paper presents a new multidisciplinary approach with focus on project oriented and hands on learning in advanced mechatronics course. This method will satisfy the requirement of modern technological society and industry. The implementation of the proposed method for a few semesters shows that students are so interested in such a method which leads them to learn more and steadily.
Tralfamadore: unifying source code and execution experience

Program source is an intermediate representation of software; it lies between a developer's intention and the hardware's execution. Despite advances in languages and development tools, source itself and the applications we use to view it remain an essentially static representation of software, from which developers can spend considerable energy postulating actual behavior. Emerging techniques in execution logging promise to provide large shared repositories containing high-fidelity recordings of deployed, production software. Tralfamadore is a system that combines source and execution trace analysis to capitalize on these recordings, and to expose information from the "experience" of real execution within the software development environment, allowing developers to inform their understanding of source based on how it behaves during real execution.
A Unified Admission Control Algorithm

Call admission control (CAC) plays a significant role in communication networks. In heterogeneous environments, CAC performs differrent function in different segments along with an end-to-end data path. In this paper, an end-to-end CAC model in transport layer is presented. Further, a unified CAC (U-CAC) algorithm is proposed , which manage different kinds of upstream traffics from different access networks. The algorithm is based both on the traffic class, the access network type and the user requirment and is-realized-using-genetic-algorithms-(GAs). In addition, priority schemes have been proposed to guarantee QoS for higher class users. For the simulation analysis, we consider two different services and two different access networks. The results reveal that the proposed algorithm provides the optimal threshold values for resource reservation and achieves the reasonable call admitted probabilities.
Spacecraft Large Angle Reorientation Under Multiple Attitude-Constrained Zones

Some of the problems that we have been particularly interested in pertain to problems studied by our Principal Investigator, Dr. Mehran Mesbahi, while at the Jet Propulsion Laboratory, related to spacecraft GN&C, autonomous constraint avoidance, and distributed spacecraft control. At JPL, Dr. Mesbahi was involved in attitude control design and analysis, as well as Saturn orbital insertion for the Cassini spacecraft , distributed space systems, and the Shuttle Radar Topography Mission. Since Dr. Mesbahi's arrival at the University of Washington, our group has contributed to various facets of guidance, navigation, control, optimization, and estimation problems related to space systems. This includes recent work in which we adopt quaternion and dual quaternion representations to provide convex optimizationbased solutions to a number of outstanding problems in spacecraft autonomy, both for monolithic and distributed space systems.
Design and Simulation of Artificial Reverberator Based on Simulink

Artificial reverberator is now widely used in broadcasting station, television station, singing and dancing hall, etc. It plays an important role in beautifying music, sugaring singing, glorifying phonetic timbre and the artistic re-creation. It can also produce many kinds of special acoustics. However, artificial reverberator is a very complex system related with many important items especially its time-delay and feedback. And it is hard for designers to find the parameter of these items accurately. Simulink is perfect tool to design the artificial reverberator and set the optimal parameter through simulation, which can result in better acoustics. In this paper, the design of artificial reverberator based on Simulink is introduced in detail. Also, a realistic simulation package is presented on the base of the discussion of the interface between Simulink and GUI. Experimental results show that the acoustics of artificial reverberation are much more natural than before.
Building Event-Based Services for Awareness in P2P Groupware Systems

Monitoring and awareness are essential in collaborative work environments, in order to support team members' interaction and coordination processes. There has been much work in implementing awareness in web-based applications, but less so for P2P collaborative systems. P2P systems have the potential to foster more group interaction than server-based approaches, as group members can interact directly with each other and can share their knowledge, skills and resources in order to provide mutual support in the accomplishment of group tasks. Several challenges arise due to the large-scale, dynamic and heterogenous nature of P2P collaborative systems. In this paper we discuss the provision of event-based awareness services in P2P groupware systems. We first review the major requirements for such awareness functionality, and propose a structured P2P network model for meeting these requirements. We then identify a set of low level awareness services and show how these can interoperate over the P2P network in order to provide awareness as part of the P2P middleware infrastructure. Finally, we envision the use of service composition to provide more complex awareness services and we discuss the implementation of a super peer network on a Cloud platform and the provision of reliable awareness services from the Cloud.
Automated test system design of body control module

According to the high efficiency, high reliability requirements in Body Control Module (BCM) function test, an idea of automated test is proposed. Based on one platform of BATC high-end passenger-car, and combined with the BCM CAN/LIN network environment, the design of an automated test system is completed by means of industry personal computer (IPC), bench, VT System, programmable power supply, Connector box, and network bus development and testing tools Canoe. The control logic test of BCM function is conducted on this system, and the validity of this test system is then verified.
Improved Weighted Centroid Localization Algorithm Based On Rssi Differential Correction

abstract Node localization is one of the key technologies of wireless sensor networks (WSN). Due to the indoor environment requires a high positioning accuracy, an improved algorithm based on RSSI is put forward. In terms of RSSI ranging, the error correction coefficient received from self-correcting locator beacon nodes, and then had been applied to distance solving from unknown nodes to the beacon nodes. In the choice of weights, the algorithm uses inverse distance and replaces the method of determining the distance and the reciprocal of the weights, and also fixes the weight factor. On the complexity of the algorithm, select one of the most recent four from unknown node to beacon nodes, reducing the amount of data calculation. Simulation results show that the proposed algorithm positioning accuracy has been greatly improved.
An algebraic model of information structure and information processing

This paper intends to clarify logical and physical information structures and essential operations in the data processing on them. Basic terminologies are due to Information Algebra originally proposed by CODASYL Language Structure Group in 1961, however, several new concepts have been introduced to ease the discussion from the software implementation point of view. The paper is included in internal research memorandom titled “Data Base Management Systems - a Theory and a Practice,” RM-008 of Nippon Univac Sogo Kenkyusho, Inc., in which the proposal for constructing generalized data base management system and description of an experimental system FORIMS are also given.
Mechanisms of Motor Adaptation in Reactive Balance Control

Balance control must be rapidly modified to provide stability in the face of environmental challenges. Although changes in reactive balance over repeated perturbations have been observed previously, only anticipatory postural adjustments preceding voluntary movements have been studied in the framework of motor adaptation and learning theory. Here, we hypothesized that adaptation occurs in task-level balance control during responses to perturbations due to central changes in the control of both anticipatory and reactive components of balance. Our adaptation paradigm consisted of a Training set of forward support-surface perturbations, a Reversal set of novel countermanding perturbations that reversed direction, and a Washout set identical to the Training set. Adaptation was characterized by a change in a motor variable from the beginning to the end of each set, the presence of aftereffects at the beginning of the Washout set when the novel perturbations were removed, and a return of the variable at the end of the Washout to a level comparable to the end of the Training set. Task-level balance performance was characterized by peak center of mass (CoM) excursion and velocity, which showed adaptive changes with repetitive trials. Only small changes in anticipatory postural control, characterized by body lean and background muscle activity were observed. Adaptation was found in the evoked long-latency muscular response, and also in the sensorimotor transformation mediating that response. Finally, in each set, temporal patterns of muscle activity converged towards an optimum predicted by a trade-off between maximizing motor performance and minimizing muscle activity. Our results suggest that adaptation in balance, as well as other motor tasks, is mediated by altering central sensitivity to perturbations and may be driven by energetic considerations.
Nominal Uniÿcation

We present a generalisation of rst-order uni cation to the practically important case of equations between terms involving binding operations. A substitution of terms for variables solves such an equation if it makes the equated terms -equivalent, i.e. equal up to renaming bound names. For the applications we have in mind, we must consider the simple, textual form of substitution in which names occurring in terms may be captured within the scope of binders upon substitution. We are able to take a “nominal” approach to binding in which bound entities are explicitly named (rather than using nameless, de Bruijn-style representations) and yet get a version of this form of substitution that respects -equivalence and possesses good algorithmic properties. We achieve this by adapting two existing ideas. The rst one is terms involving explicit substitutions of names for names, except that here we only use explicit permutations (bijective substitutions). The second one is that the uni cation algorithm should solve not only equational problems, but also problems about the freshness of names for terms. There is a simple generalisation of classical rst-order uni cation problems to this setting which retains the latter’s pleasant properties: uni cation problems involving -equivalence and freshness are decidable; and solvable problems possess most general solutions. c © 2004 Elsevier B.V. All rights reserved.
The biologic significance of alloreactivity. The ontogeny of T-cell sets specific for alloantigens or modified self antigens

We have analyzed the cellular basis of T-cell reactivity against lymphocytes expressing major histocompatibility complex (MHC) products that are foreign by virtue of polymorphism (alloantigens) or because of modification by chemicals or viruses. We find that early in ontogeny, prekiller activity against both trinitrophenyl (TNP)-coupled autologous MHC products and allogeneic MHC products resides in the same (Ly123(+)) T-cell pool; later in ontogeny alloreactivity is invested in Ly23 cells which, when activated, lyse TNP-coupled autologous cells as well as appropriate allogeneic target cells. We demonstrate that stimulation of Ly123(+) T cells in vitro by autologous cells coated with chemically-inactivated Sendai virus results in the formation of Ly23(+) cytolytic T lymphocytes (CTL) that specifically lyse both virus modified autologous target cells and unmodified allogeneic target cells. These results suggest the following model to account for the presence of large numbers of alloreactive T-cell clones in adult animals: continuous stimulation of Ly123 cells by autologous MHC antigens associated with foreign materials such as a virus results in the formation of Ly23 memory progeny carrying receptors that recognize MHC products that are foreign due to genetic polymorphism (alloantigens). In general, these studies indicate that alloaggression (as manifest by Ly23 cells in the CTL response) reflects a high degree of cross stimulation between physiologically relevant antigens, e.g., viral determinants associated with self MHC products, and biologically irrelevant allelic variants of the MHC.
FAULT ACCOMMODATION FOR NEAR SPACE HYPERSONIC VEHICLE WITH ACTUATOR FAULT

Based on fuzzy control and sliding mode observer technique, a fault accommodation strategy is proposed for near space hypersonic vehicle (NSHV) with actuator fault in this study. Firstly, the Takagi-Sugeno (T-S) fuzzy model is implemented to represent the NSHV nonlinear dynamics, and a bank of sliding mode observers are designed for the established T-S model, which are used to generate the residuals. Then, a novel fault diagnostic algorithm is given to estimate the actuator fault occurred in NSHV dynamics. Utilizing the on-line obtained fault estimation information, a fault accommodation scheme is developed to compensate for the effects of actuator fault. Based on Lyapunov stability theory, a sufficient condition to guarantee the stability of faulty system is derived in terms of linear matrix inequalities (LMIs), which can be easily solved by Matlab LMI toolbox. Finally, simulation results are presented to demonstrate the efficiency of the proposed approach.
Deep neural network context embeddings for model selection in rich-context HMM synthesis

This paper introduces a novel form of parametric synthesis that uses context embeddings produced by the bottleneck layer of a deep neural network to guide the selection of models in a rich-context HMM-based synthesiser. Rich-context synthesis – in which Gaussian distributions estimated from single linguistic contexts seen in the training data are used for synthesis, rather than more conventional decision tree-tied models – was originally proposed to address over-smoothing due to averaging across contexts. Our previous investigations have conﬁrmed experimentally that averaging across different contexts is indeed one of the largest factors contributing to the limited quality of statistical parametric speech synthesis. However, a possible weakness of the rich context approach as previously formulated is that a conventional tied model is still used to guide selection of Gaussians at synthesis time. Our proposed approach replaces this with context embeddings derived from a neural network.
Biomechanical Evaluation of a Tooth Restored with High Performance Polymer PEKK Post-Core System: A 3D Finite Element Analysis

The aim of this study was to evaluate the biomechanical behavior and long-term safety of high performance polymer PEKK as an intraradicular dental post-core material through comparative finite element analysis (FEA) with other conventional post-core materials. A 3D FEA model of a maxillary central incisor was constructed. A cyclic loading force of 50 N was applied at an angle of 45° to the longitudinal axis of the tooth at the palatal surface of the crown. For comparison with traditionally used post-core materials, three materials (gold, fiberglass, and PEKK) were simulated to determine their post-core properties. PEKK, with a lower elastic modulus than root dentin, showed comparably high failure resistance and a more favorable stress distribution than conventional post-core material. However, the PEKK post-core system showed a higher probability of debonding and crown failure under long-term cyclic loading than the metal or fiberglass post-core systems.
Indoor radio channel model for protocol evaluation of wireless personal area networks

A finite state radio channel model for wireless personal area networks (WPAN) is presented. It is based on a semi-Markov process of the channel impulse response (CIR) energy. To improve the time variant behavior of traditional state models, the proposed process includes the tendency of CIR energy fluctuations. The parameters of the model are extracted from a stochastic radio channel model which takes into account all relevant propagation effects in indoor environments. In a second step, the energy states are mapped to bit error rates. This is done using the physical layer proposal from the future IEEE standard 802.15. 3 for high rate WPANs. The proposed model is compared with an existing semi-Markov channel model.
Subband Adaptive Array for MIMO-STBC CDMA System

This paper presents interference suppression using a subband adaptive array (SBAA) for uplink space-time block coding (STBC) code division multiple access (CDMA) under a frequency selective fading (FSF) channel. The proposed scheme utilizes CDMA with STBC and a receive array antenna with SBAA processing at the receiver. The received signal is converted into the frequency domain before despreading and adaptive processing is performed for each subband. A novel SBAA construction is introduced to process CDMA signals based on STBC. To improve the performance of the proposed scheme, we evaluate STBC-SBAA using spreading codes cyclic prefix (CP). Simulation results demonstrate an improved performance of the proposed system for single and multiuser environments compared to competing related techniques.
The Macro Implications of HIV/AIDS in South Africa: A Preliminary Assessment

South Africa now stands at the brink of a full-blown AIDS crisis. The key question now is to how to deal with the impending crisis. The epidemic has moved beyond its earlier status as a health issue to become a development issue, with social, political, and economic dimensions. This paper focuses on the economic aspects. While the research and policy analysis agenda is large, the authors' objectives in this paper are more modest: they undertake a preliminary analysis of the macroeconomic effects of the AIDS epidemic for South Africa using an economy-wide modeling framework. The outline of the paper is as follows: First, the authors review the major channels through which the HIV/AIDS epidmeic affects economic activity. Next, they describe the analytic approach employed in this paper, which involves constructing a disaggregated model of the South African economy that embodies the important AIDS-economy linkages identified above. Finally, they use the model to generate alternative medium-term scenarios to simulate the quantitative impact of these AIDS-related effects on macroeconomic performance.
Ant systems & Local Search Optimization for flexible Job Shop Scheduling Production

The problem of efficiently scheduling production jobs on several machines is an important consideration when attempting to make effective use of a multimachines system such as a flexible job shop scheduling production system (FJSP). In most of its practical formulations, the FJSP is known to be NP-hard [8][9], so exact solution methods are unfeasible for most problem instances and heuristic approaches must therefore be employed to find good solutions with reasonable search time. In this paper, two closely related approaches to the resolution of the flexible job shop scheduling production system are described. These approaches combine the Ant system optimisation meta-heuristic (AS) with local search methods, including tabu search. The efficiency of the developed method is compared with others.