Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissipative Hamiltonian realization and energy-based L2-disturbance attenuation control of multimachine power systems

The note considers the L/sub 2/-disturbance attenuation of multimachine power systems via dissipative pseudo-Hamiltonian realization of the systems. First, the note expresses multimachine systems as a dissipative Hamiltonian system. Then, the note investigates the energy-based control design of L/sub 2/-disturbance attenuation of multimachine power systems and proposes a decentralized simple control strategy. Simulations on a six-machine system show that the achieved L/sub 2/-disturbance attenuation control strategy is very effective.
A survey of three dialogue models

A dialogue model is an abstract model that is used to describe the structure of the dialogue between a user and an interactive computer system. Dialogue models form the basis of the notations that are used in user interface management systems (UIMS). In this paper three classes of dialogue models are investigated. These classes are transition networks, grammars, and events. Formal definitions of all three models are presented, along with algorithms for converting the notations into an executable form. It is shown that the event model has the greatest descriptive power. Efficient algorithms for converting from the transition diagram and grammar models to the event model are presented. The implications of these results for the design and implementation of UIMSs are also discussed.
Investigation on Adaptation Using Different Discriminative Training Criteria Based Linear Regression and Map

This paper presents a comparison and evaluation between the conventional maximum likelihood estimation based adaptation and different discriminative adaptation criteria. The performance of different LR and MAP adaptation are compared respectively, and the strategies of first applying LR then MAP based on both MLE and DT criteria are evaluated. The effect of the amount of available data for adaptation is also compared in our experiments. The experiment results of 863 and Tsinghua mandarin evaluation tasks suggests that the process of first applying MWCE-LR then MWCE-MAP can achieve the best performance.
A Survey of Fault Detection, Isolation, and Reconfiguration Methods

Fault detection, isolation, and reconfiguration (FDIR) is an important and challenging problem in many engineering applications and continues to be an active area of research in the control community. This paper presents a survey of the various model-based FDIR methods developed in the last decade. In the paper, the FDIR problem is divided into the fault detection and isolation (FDI) step, and the controller reconfiguration step. For FDI, we discuss various model-based techniques to generate residuals that are robust to noise, unknown disturbance, and model uncertainties, as well as various statistical techniques of testing the residuals for abrupt changes (or faults). We then discuss various techniques of implementing reconfigurable control strategy in response to faults.
P2P service discovery in clouds with message level intelligence

As the interest in cloud computing grows ranging from individuals to corporates and governments, efficient service discovery has become paramount for satisfactory user experience. Due to the distributed nature of cloud services we propose an unstructured P2P discovery model for service discovery in cloud environment. Traditional query routing heuristics in P2P systems functions purely at the overlay layer. These heuristics do not posses knowledge of the underlying physical topology which leads to performance bottleneck. This paper addresses this problem by proposing a novel P2P model with the awareness of the underlying network in order to leverage the performance of distributed service discovery in cloud environment. This is achieved by applying the concept of Application Oriented Networking (AON), which has the capability of message level intelligence. Our claim is proved by results obtained through prototype simulation.
Food is Good to Teach

Abstract This article focuses on the teaching of culture through the lens of food. It discusses a course of food and culture, in which students considered various foodstuffs and traditions as means to explore various cultural areas, including subsistence and economic issues, gender and racial stratification, ethnic and nationalist identities, and more. Drawing on the results of an in-class survey and class discussions, the article highlights a wide range of ideas and beliefs as well as areas of emerging resistance to cultural diversity which became highly visible to the students because the topic of “food” seemed innocent and safe.
Experimental Radio Indoor Positioning Systems Based on Round-Trip Time Measurement

This chapter presents the design issues and performance characterization results of two experimental systems for radio distance measurement and positioning. The main envisioned application area for these systems is the indoor environment, characterized by an insufficient coverage of global navigation satellite systems and by issues related to the indoor radio propagation channel. In particular, such issues include multipath propagation and the absence of line-of-sight. Furthermore, the applications for indoor positioning systems usually require a high degree of accuracy, which can be of the order of a centimetre, in the position estimation. Recently, this research area experienced a considerable growth and the state of the art is characterized by a wide array of solutions. In this context, the systems described in the present chapter are based on two different approaches: an Ultra-Wideband (UWB) pulse-based solution (De Angelis et al., 2008a), (De Angelis et al., 2009a), (De Angelis et al., 2009c) and a platform developed using commercial devices complying with the ZigBee standard (Santinelli et al., 2009). However, both approaches share the same principle of operation: the measurement of signal Time-Of-Flight. In particular, the systems are capable of measuring the Round-Trip-Time (RTT), eliminating the need for accurate synchronization between transmitters and receivers. The time interval measurement function is performed in both systems by a commercial Time-to-Digital Converter (TDC) with 50 ps rms resolution. The first approach involves the complete design process of the pulse-UWB radio interface, that is the circuitry necessary to properly generate and detect a sub-nanosecond pulse. These blocks have been designed and built from scratch using off-the-shelf components where possible. Furthermore, other relevant blocks are the timing and control logic, the interface with the TDC and the communication with a PC for data processing. The overall architecture has been developed using a master-slave approach, in which several slaves (pulse repeaters) are placed in fixed and known positions and thus constitute the infrastructure of the system. The master device is capable of measuring its distance with respect to the slaves and of estimating its position by means of triangulation algorithms. A
Predictable periimplant gingival esthetics: use of the natural tooth as a provisional following implant placement.

UNLABELLED Maintaining the interdental papilla and bone height following implant placement has been a challenge for the restorative dentist. Bone resorption following anterior tooth extraction is common and often compromises the esthetics of the final restoration. The tissue must be maintained during the surgical and healing phases to achieve an esthetic outcome. Using the patient's natural tooth as a provisional can help maintain the volume and support the papilla. This article describes a technique to achieve maximum esthetics and preservation of tissue following tooth extraction and implant placement. CLINICAL SIGNIFICANCE By using the patient's extracted natural tooth, the tissue should maintain itself with minimal recession. This will allow for a more esthetic outcome.
Computing minimum-time trajectories for quadrotors via transverse coordinates

In this paper we present a novel strategy to compute minimum-time trajectories for quadrotors. In particular, we consider the motion in constrained environments, taking into account the physical limitations of the vehicle. Instead of approaching the optimization problem in its standard time-parameterized formulation, the proposed strategy is based on an appealing re-formulation. Transverse coordinates, expressing the distance from a “reference” path, are used to parameterize the vehicle position and a spatial parameter is used as independent variable. This re-formulation allows us to (i) obtain a fixed horizon problem and (ii) easily formulate (even complex) position constraints. The effectiveness of the proposed strategy is proven by numerical computations on two different illustrative scenarios.
Teh Logic of Infons

Infons are pieces of information. In our work on the Distributed Knowledge Authorization Language (DKAL), we discovered that the logic of infons is a conservative extension of intuitionistic logic by means of connectives p said and p put where p ranges over principals. We investigate infon logic and a primal fragment of it. In both cases, we develop model theory, prove soundness and completeness, and analyze the computational complexity of the ground multiple derivability (GMD) problem (which of the given ground queries follow form the given ground hypotheses). Our most involved technical result is a linear time algorithm for the GMD problem for the primal infon logic given a constant bound on the quotation depth of the hypotheses. In applications quotation-depth is small. Our result gives rise to a linear time algorithm for the GMD problem for SecPAL, a precursor of DKAL that expresses many important access control scenarios.
Addressing the challenges of Web applications on mobile handheld devices

Access to Web applications using hand-held devices is becoming a necessity for gathering information, conducting transactions, and interacting with people, and other information systems. However, developing and deploying Web applications on mobile devices is not straightforward as it might sound. Web pages and applications for mobile environments pose certain unique requirements and challenges, compared to their desktop versions, which primarily arise from small size of the devices, limited input and interaction capabilities, slower communication, and need for tailored content depending on the dynamic context of use. Successful development and deployment of mobile Web applications calls for a better understanding of these requirements and challenges. This paper identifies and addresses these unique requirements and challenges, and presents an overview of approaches and techniques for adapting Web pages developed for desktops for deploying on mobile hand-held devices.
What really improves employee health and wellbeing

Purpose – Factors for successful workplace health promotion (WHP) are well described in the literature, but often sourced from evaluations of wellness programmes. Less well understood are the features of an organisation that contribute to employee health which are not part of a health promotion programme. The purpose of this paper is to inform policy on best practice principles and provide real life examples of health promotion in regional Victorian workplaces. Design/methodology/approach – Individual case studies were conducted on three organisations, each with a health and wellbeing programme in place. In total, 42 employers and employees participated in a face to face interview. Interviews were transcribed verbatim and the qualitative data were thematically coded. Findings – Employers and senior management had a greater focus on occupational health and safety than employees, who felt that mental/emotional health and happiness were the areas most benefited by a health promoting workplace. An organisatio.
Understanding lurking behaviors in social networks across time

Mining the silent members, also called lurkers, of an online community has been recognized as an important problem that accompanies the extensive use of social networks. Existing solutions to the ranking of lurkers can aid understanding the lurking behaviors in social networks, however they ignore any information concerning the time dimension. In this work we push forward research in lurker mining by providing an analysis of temporal aspects that aims to unveil the behavior of lurkers and their interrelations with other users. Our analysis builds upon four research questions, which encompass relations between lurkers and inactive users, relations between lurkers and active users, the responsiveness behavior of lurkers, and the evolution of lurking trends across time. Evaluation has been conducted on Flickr, FriendFeed and Instagram networks.
ARIES: Refactoring support environment based on code clone analysis

Recently, code clone has been regarded as one of factors that make software maintenance more difficult. A code clone is a code fragment in a source code that is identical or similar to another. For example, if we modify a code fragment which has code clones, it is necessary to consider whether we have to modify each of its code clones. It is generally said that code clone is one of bad-smells to be refactored. There are two ways of maintenance support for code clones. One is to comprehend and manage code clones, and the other is to remove them. For the former support, we have developed code clone analysis environment Gemini. For the latter support, several methods have been proposed. But, it is difficult to apply them to large software because of various reasons such as high time complexity. In this paper, we propose a method that detects refactoring-oriented code clone in practical use time. And, we develop a characterization of code clones by some metrics, which suggests how to remove them. Then, we develop refactoring support environment Aries. We expect Aries can support software maintenance more effectively.
MOOD SELECTION AMONG SPANISH-SPEAKING CHILDREN, AGES 4 TO 12

The development of complex sentences has attracted much interest in recent studies of child language acquisition (Karmiloff-Smith, 1979). Much of this interest stems from syntactic as well as semantic considerations that continue to make complex sentences problematic well into middle childhood. The purpose of this study is to offer cross-cultural data, collected from Spanish-speaking children, for complex sentences that require mood choices. It is also hoped that the results can be used to formulate a better idea of how Hispanic children acquire the intricate linguistic contrasts that are part of the Spanish modal system.
IMPACT OF TRANSCRIPTION FACTOR PROFILE AND CHROMATIN CONFORMATION ON HUMAN HEPATOCYTE CYP3A GENE EXPRESSION

Recent data have made it increasingly clear that the gene expression profile of a cell system, and its alteration in response to external stimuli, is highly dependent on both the higher order chromatin structure of the genome and the interaction of gene products in interpreting stimuli. To further explore this phenomenon, we have examined the role of both of these factors in controlling xenobiotic-mediated gene expression changes in primary and transformed human hepatocytes (HuH7). Using quantitative polymerase chain reaction, expression levels of several transcription factors implicated in the liver-specific regulation of the CYP3A gene family were examined in human adult and fetal liver RNA samples. These expression profiles were then compared with those obtained from both primary and transformed human hepatocytes, showing that, in general, cultured cells exhibit a distinct profile compared with either the fetal or adult samples. Transcriptome profiles before and after exposure to the CYP3A transcriptional activators rifampicin, dexamethasone, pregnane-16α-carbonitrile, and phenobarbital were subsequently examined. Whereas exposure to these compounds elicited a dose-dependent increase in CYP3A transcription in primary hepatocytes, no alteration in expression levels was observed for the hepatoma cell line HuH7. Alteration in the expression levels of pregnane X receptor and chicken ovalbumin upstream promoter transcription factor I, and the disruption of higher order chromatin within HuH7 cells altered CYP3A expression and/or activation by xenobiotics toward that observed in primary hepatocytes. These data provide potential roles for these two processes in regulating CYP3A expression in vivo.
Different Subcellular Localization of ALCAM Molecules in Neuroblastoma: Association with Relapse

Background: The Activated Leukocyte Cell Adhesion Molecule (ALCAM/CD), involved in nervous system development, has been linked to tumor progression and metastasis in several tumors. No information is available on ALCAM expression in neuroblastoma, a childhood neoplasia originating from the sympathetic nervous system. Methods: ALCAM expression was analysed by immunofluorescence and immunohistochemistry on differentiated neuroblastoma cell lines and on archival specimens of stroma-poor, not MYCN amplified, resectable neuroblastoma tumors, respectively. Results: ALCAM is variously expressed in neuroblastoma cell lines, is shed by metalloproteases and is cleaved by ADAM17/TACE in vitro. ALCAM is expressed in neuroblastoma primary tumors with diverse patterns of subcellular localization and is highly expressed in the neuropil area in a subgroup of cases. Tumor specimens showing high expression of ALCAM at the membrane of the neuroblast body or low levels in the neuropil area are associated with relapse (P = 0.044 and P < 0.0001, respectively). In vitro differentiated neuroblastoma cells show strong ALCAM expression on neurites, suggesting that ALCAM expression in the neuropil is related to a differentiated phenotype. Conclusions: Assessment of ALCAM localization by immunohistochemistry may help to identify patients who, in the absence of negative prognostic factors, are at risk of relapse and require a more careful follow-up.
Denoising Images using Wiener Filter in Directionalet Domain

An algorithm for denoising image based on directionalet is proposed, and in each high-frequency subbands, adaptive Wiener filtering (window size 1 times 25) is performed. Then, the denoised image is obtained by reconstruction from the filtered coefficients. At last, all directional sub-images are averaged. The experiments results showed that this method outperforms Wiener filtering in standard 2-D wavelet domain. The SNR is improved l~3dB.
ANTIOBESITY ACTIVITY OF ETHANOLIC EXTRACT OF CASSIA AURICULATA IN HIGH FAT DIET INDUCED OBESE RATS

Objective: The present work was undertaken to evaluate the effect of Cassia auriculata leaves extract in high fat diet induced obesity in rats.Methods: Male Wistar rats weighing 150-200 g were divided into orlistat standard, Normal control, HFD control & test groups (6 animals per group). All treatments were given orally, started after 6 weeks feeding with HFD (except normal control group) and continued for six weeks along with HFD. Weight gain, feed intake, BMI, Waist Hip Ratio, obesity index, lipid profile, blood glucose and body fat depots content were the parameters evaluated.Results: The ethanolic extract of Cassia auriculata leaves at 200 and 400 mg/kg/orally (from the end of 6th week up to 12thweeks) showed reduction in weight gain, feed intake (GM) feed intake (k/Cal) BMI, WHRatio, obesity index and significant decrease in serum glucose, Triglyceride, Total cholesterol, LDL, VLDL and increase in HDL level, and also significantly decreased body fat depots and oxidative stress when compared to high fat diet control group.Conclusion: It can be concluded that ethanolic Cassia auriculata leaves extracts exhibit significant anti obesity activity against high fat diet induced obesity model. We are reporting the anti obesity activity of the leaves, first time. Â
Thinkbase: A Visual Semantic Wiki

Thinkbase is a visual navigation and exploration tool for Freebase, an open, shared database of the world's knowledge. Thinkbase extracts the contents, including semantic relationships, from Freebase and visualizes them using an interactive visual representation. Providing a focus plus context view the visualization is displayed along with the Freebase article. Thinkbase provides a proof of concept of how visualizations can improve and support Semantic Web applications. The application is available via http://thinkbase.cs. auckland.ac. nz.
Chitosan-Based Multifunctional Platforms for Local Delivery of Therapeutics

Chitosan has been widely used as a key biomaterial for the development of drug delivery systems intended to be administered via oral and parenteral routes. In particular, chitosan-based microparticles are the most frequently employed delivery system, along with specialized systems such as hydrogels, nanoparticles and thin films. Based on the progress made in chitosan-based drug delivery systems, the usefulness of chitosan has further expanded to anti-cancer chemoembolization, tissue engineering, and stem cell research. For instance, chitosan has been used to develop embolic materials designed to efficiently occlude the blood vessels by which the oxygen and nutrients are supplied. Indeed, it has been reported to be a promising embolic material. For better anti-cancer effect, embolic materials that can locally release anti-cancer drugs were proposed. In addition, a complex of radioactive materials and chitosan to be locally injected into the liver has been investigated as an efficient therapeutic tool for hepatocellular carcinoma. In line with this, a number of attempts have been explored to use chitosan-based carriers for the delivery of various agents, especially to the site of interest. Thus, in this work, studies where chitosan-based drug delivery systems have successfully been used for local delivery will be presented along with future perspectives.
Channel Measurements and Modeling for a 60 GHz Wireless Link Within a Metal Cabinet

This paper presents the channel measurements performed within a closed metal cabinet at 60 GHz covering the frequency range 57-62 GHz. Two different volumes of an empty metal cupboard are considered to emulate the environment of interest (an industrial machine). Furthermore, we have considered a number of scenarios such as line of sight, non line of sight, and placing absorbers. A statistical channel model is provided to aid short-range wireless link design within such a reflective and confined environment. Based on the measurements, the large- and small-scale parameters are extracted and fitted using the standard log-normal and Saleh-Valenzuela models, respectively. The obtained results are characterized by a very small path loss exponent, a single cluster phenomenon, and a significantly large root-mean-square (RMS) delay spread. The results show that covering a wall with absorber material dramatically reduces the RMS delay spread. Finally, the proposed channel model is validated by comparing the measured channel with a simulated channel, where the simulated channel is generated from the extracted parameters.
Probabilistic Appearance Based Navigation and Loop Closing

This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity of two observations, but also the probability that they originate from the same location, and hence compute a pdf over observer location. We do not limit ourselves to the kidnapped robot problem (localizing in a known map), but admit the possibility that observations may come from previously unvisited places. The principled probabilistic approach we develop allows us to explicitly account for the perceptual aliasing in the environment - identical but indistinctive observations receive a low probability of having come from the same place. Our algorithm complexity is linear in the number of places, and is particularly suitable for online loop closure detection in mobile robotics.