Miracle-dz/UniFAR-FTUs huggingface dataset:
Enterface Workshops the Enterface'05 Scientific Committee Project 7: a Multimodal (gesture+speech) Interface for 3d Model Search and Retrieval Integrated in a Virtual Assembly Application 62 Combined Gesture-speech Analysis and Synthesis

eNTERFACE Workshops Motivations – Reflexions Prof. T. Dutoit Initiator of the eNTERFACE concept and organizer of eNTERFACE'05 I take this opportunity to mention how the idea of eNTERFACE came to life in mid 2003, when the core committee of SIMILAR (the European Network of Excellence on Multimodal Interfaces), was busy establishing its list of workpackages. It is basically a three acts piece. Act 1. I have been a researcher for 18 years now. It is therefore becoming hard to navigate in the " conferences " directory of my laptop. Small to big, short to long, close to far away, I think I have tried them all. One of them, however, will last forever in my memory as the most productive meeting I have ever attended. It was a summer school on Prosody, in July 1993, organized by the ELSNET (already a scientific network). I spent two weeks there, at UCL London, attending lectures and, more importantly, taking labs with my fellow PhD students from all over the world. I must say this is simply the place where I met most of my friends for life! Act 2. In 1996, I had the opportunity to work for AT&T at Bell Labs for 1.5 years, in the TTS group. This was set about 2 years after I finished my PhD (i.e., 2 years after I had signed with Kluwer for writing the " 3-months-of-work " book in TTS I took 3 years to complete; I finished it at AT&T.). It was clear to me that I was then about to meet the greatest gurus in speech processing (yet I had underestimated the number of famous people who were working in this lab), and that I would work with the best maintained software archive in the world (you snap your finger, and you get what you were looking for; this, I had overestimated.). I did meet all these people, and the atmosphere was such that meeting each other was really easy, but I also realized something I had never imagined: research in the US is a huge network thing. " Network " in terms of " you seldom work on your own on a problem " , but also in terms of " Be with the network; the network will take care of you ". In other words, research is very much advertised and supported by your employer, by all sorts of professional …
INSTRUMENTATION AND SOFTWARE ARCHITECTURE FOR A SMART ROOM

This paper presents the instrumentation and software architecture of a smart room. The smart room is a part of research on distributed intelligent services, and it provides a practical environment for the development of a distributed architecture. The smart room consists of resources such as sensors, different kinds of devices, and other kinds of computational and control and service resources that provide intelligent functionalities. The software architecture provides the possibility to easily control these distributed resources in the room, and it facilitates the creation of new and more complex functionalities for the system. The software architecture also provides the possibility to easily add new resources
Biological impacts and context of network theory

SUMMARY Many complex systems can be represented and analyzed as networks, and examples that have benefited from this approach span the natural sciences. For instance, we now know that systems as disparate as the World Wide Web, the Internet, scientific collaborations, food webs, protein interactions and metabolism all have common features in their organization, the most salient of which are their scale-free connectivity distributions and their small-world behavior. The recent availability of large-scale datasets that span the proteome or metabolome of an organism have made it possible to elucidate some of the organizational principles and rules that govern their function, robustness and evolution. We expect that combining the currently separate layers of information from gene regulatory networks, signal transduction networks, protein interaction networks and metabolic networks will dramatically enhance our understanding of cellular function and dynamics.
Future Feasibility of Using Wearable Interfaces to Provide Social Support

Social support has a positive influence on a person's overall wellbeing. Recent creation of mobile and online social networks have changed the methods used to obtain such support. Previous wearable devices have focussed on increasing an individuals perceived social support by either encouraging new social relationships or strengthening those already existing. With the release of the Apple Watch, wearable interfaces are becoming popular but there is little research into the current attitudes of using these interfaces as a social support medium. In this paper we present results of our survey to establish the attitudes of current smartwatch owners. Results show owning a smartwatch has no effect on the levels of social support a person feels they have. The most commonly used method of support was through smartphone, which was true for people regardless of whether they own a smartwatch. A large number of smartwatch owners stated using their device was their last preference in seeking emotional (61\%) and informational (57\%) support from others. Results from the survey indicate that more research is needed to establish exactly what factors make technological devices well suited to accommodate social support and how these can be applied to wearable interfaces in the future.
The Relationship Between Intensity Coding and Binaural Sensitivity in Adults With Cochlear Implants

Objectives: Many bilateral cochlear implant users show sensitivity to binaural information when stimulation is provided using a pair of synchronized electrodes. However, there is large variability in binaural sensitivity between and within participants across stimulation sites in the cochlea. It was hypothesized that within-participant variability in binaural sensitivity is in part affected by limitations and characteristics of the auditory periphery which may be reflected by monaural hearing performance. The objective of this study was to examine the relationship between monaural and binaural hearing performance within participants with bilateral cochlear implants. Design: Binaural measures included dichotic signal detection and interaural time difference discrimination thresholds. Diotic signal detection thresholds were also measured. Monaural measures included dynamic range and amplitude modulation detection. In addition, loudness growth was compared between ears. Measures were made at three stimulation sites per listener. Results: Greater binaural sensitivity was found with larger dynamic ranges. Poorer interaural time difference discrimination was found with larger difference between comfortable levels of the two ears. In addition, poorer diotic signal detection thresholds were found with larger differences between the dynamic ranges of the two ears. No relationship was found between amplitude modulation detection thresholds or symmetry of loudness growth and the binaural measures. Conclusions: The results suggest that some of the variability in binaural hearing performance within listeners across stimulation sites can be explained by factors nonspecific to binaural processing. The results are consistent with the idea that dynamic range and comfortable levels relate to peripheral neural survival and the width of the excitation pattern which could affect the fidelity with which central binaural nuclei process bilateral inputs.
CERTIFICATION OF DL / EC KEYS

It is shown that the explicit certification of public keys in customary DL/EC (Discrete-Log/ Elliptic-Curve) applications, ranging from digital signatures of the DSA type to keyagreements of the DH type, can be abolished. This facilitates highly efficient implementations in terms of the total number of exponentiations needed to be executed, the ability of having parallel processing, and communication overhead. At the fundamental level it is shown how to integrate the processing of the public key of the trusted third party (needed, by definition, in establishing the validity of static public values submitted by a user) and the dynamic processing associated with the actual cryptographic process. This reduces, by a factor of at least 2, the processing time when compared to standard signature and key-agreement techniques, while further reducing communication overhead. It is then shown how the performance of the introduced key-agreement techniques is further enhanced, by utilizing a principle termed "you are OK if I am OK". Here, the processing of the public key of Alice’s trusted third party is not performed by Bob after he receives the values submitted by Alice, as customarily done. Instead, Bob refers to the said public key prior to his communication with Alice (utilizing the realistic observation under which Bob is supposed to know in any case the public key of Alice’s trusted third party regardless of his communication with Alice). Here, if Bob is assured that his secret and public values are valid then he is subsequently assured that the public values submitted by Alice are valid as well.
RASS: A Portable Real-time Automatic Sleep Scoring System

It is a well known fact that the quality of sleep is an important factor in health-related quality of life (HRQoL), and people could prevent potential problems by tracking the quality of their sleep. Unfortunately sleep scoring, which is a systematic way to address the sleep staging as well as the scoring of arousals, respiratory, cardiac, and movement events, is usually conducted with specialized equipment which is expensive and operated by specialists in dedicated sleep centers. Related research studies and products (e.g. ZEO) tried to solve this problem, but they either used multiple probes that cause discomfort to the patient, or could not score in real time. In this paper, we design and implement RASS, a portable Real-time Automatic Sleep Scoring system. RASS only requires one probe, which is inexpensive and, as a result, may be used at home or during travel. RASS accurately scores the sleeping state and detects sleep apnea in real-time based on the sensing results of pulse, blood oxygen, activity, sound and light signals. An alarm will be generated when a severely abnormal sleep state is detected. RASS has been tested with 48 patients, and the test results show that RASS could achieve higher than 84% accuracy.
Controlled Synthesis of Atomically Layered Hexagonal Boron Nitride via Chemical Vapor Deposition

Hexagonal boron nitrite (h-BN) is an attractive material for many applications including electronics as a complement to graphene, anti-oxidation coatings, light emitters, etc. However, the synthesis of high-quality h-BN is still a great challenge. In this work, via controlled chemical vapor deposition, we demonstrate the synthesis of h-BN films with a controlled thickness down to atomic layers. The quality of as-grown h-BN is confirmed by complementary characterizations including high-resolution transition electron microscopy, atomic force microscopy, Raman spectroscopy and X-ray photo-electron spectroscopy. This work will pave the way for production of large-scale and high-quality h-BN and its applications as well.
Clock power reduction for virtex-5 FPGAs

Clock network power in field-programmable gate arrays (FPGAs) is considered and two complementary approaches for clock power reduction in the Xilinx Virtex-5 FPGA are presented. The approaches are unique in that they leverage specific architectural aspects of Virtex-5 to achieve reductions in dynamic power consumed by the clock network. The first approach comprises a placement-based technique to reduce interconnect resource usage on the clock network, thereby reducing capacitance and power (up to 12%). The second approach borrows the "clock gating" notion from the ASIC domain and applies it to FPGAs. Clock enable signals on flip-flops are selectively migrated to use the dedicated clock enable available on the FPGA's built-in clock network, leading to reduced toggling on the clock interconnect and lower power (up to 28%). Power reductions are achieved without any performance penalty, on average.
Digital Image Alteration Detection using Advance Processing

Digital images became the part of many applications. But digital images have the problem of image retouch up techniques. Because of this retouch up techniques there is serious problem of securing digital images.To touch upon this downside, the sphere of digital forensics and investigation has emerged and provided some trust in digital pictures. Different image forgeries such as copy and move, region duplication forgery, image splicing fraudulence, etc. are performed on digital images. Different basic image operations or manipulations are often involved on these image forgeries. In this paper, before proposed a technique for image validation by detection of four basic image manipulation operations with overcome the challenge of copy-move forgery detection, first, discussed how to detect basic image alteration operations that are often applied on forged images and challenges of copymove forgery detection. General Terms Forgery Detection, Image Alteration, Image Forgery, Image retouch up Techniques.
Raman spectroscopy : lighting up the future of microbial identification Special Report

The potential of Raman spectroscopy as a noninvasive and rapid identification technique for microorganisms has been well established [1–3]. In biomolecular studies Raman spectroscopy has the advantage of providing information on both chemical composition and the structure of biological molecules ranging from proteins to nucleic acids, as well as lipids and carbohydrates [3,4]. In microbial studies this approach is often referred to in the literature as a ‘wholeorganism’ fingerprint as different microorganisms each produce a unique spectrum. The specificity of the analytical technique in combination with appropriate chemometric processing enables the characterization, discrimination and identification of bacteria, fungi and yeasts at both species and subspecies levels [1,5]. Moreover, this detailed spectral information may be used to monitor phenotypic changes that can result from environmental stress [3,6], as well as cell heterogeneity due to cell processes such as cell aging, cell cycle and metabolic rhythms [7], thus providing an extremely versatile and sensitive technique. Advancements in the ana lysis of Raman spectra have been greatly aided by the use of a range of chemometric methods and algorithms. The appropriate application of these methods and mathematical background behind them has been extensively reported elsewhere [8,9] and consequently not discussed in detail in this article. Despite the established advantages of Raman spectroscopy for microbial studies, the migration of Raman spectroscopy from the research scientific laboratory to a routinely used tool in a clinical setting has been held back by the traditional challenges of Raman scattering. These include an inherently weak signal that can necessitate long acquisition times and the use of large amounts of biomass, combined with backgrounds signals arising from fluorescence, sample medium and instrumental differences. In addition, initial instrument costs and automated data processing methods have hampered the adoption of Raman spectroscopy in the clinical laboratory. In more recent years rapid developments in the technique have started to change this, and here we discuss how these advancements are taking Raman spectroscopy a step nearer to being accepted as a noninvasive, reagent free, rapid, reliable, user-friendly, and low-cost alternative for microbial identification. Raman spectroscopy: lighting up the future of microbial identification
Significantly distinct branches of hierarchical trees: A framework for statistical analysis and applications to biological data

Background One of the most common goals of hierarchical clustering is finding those branches of a tree that form quantifiably distinct data subtypes. Achieving this goal in a statistically meaningful way requires (a) a measure of distinctness of a branch and (b) a test to determine the significance of the observed measure, applicable to all branches and across multiple scales of dissimilarity. Results We formulate a method termed Tree Branches Evaluated Statistically for Tightness (TBEST) for identifying significantly distinct tree branches in hierarchical clusters. For each branch of the tree a measure of distinctness, or tightness, is defined as a rational function of heights, both of the branch and of its parent. A statistical procedure is then developed to determine the significance of the observed values of tightness. We test TBEST as a tool for tree-based data partitioning by applying it to five benchmark datasets, one of them synthetic and the other four each from a different area of biology. For each dataset there is a well-defined partition of the data into classes. In all test cases TBEST performs on par with or better than the existing techniques. Conclusions Based on our benchmark analysis, TBEST is a tool of choice for detection of significantly distinct branches in hierarchical trees grown from biological data. An R language implementation of the method is available from the Comprehensive R Archive Network: cran.r-project.org/web/packages/TBEST/index.html.
Obesity Is Mediated by Differential Aryl Hydrocarbon Receptor Signaling in Mice Fed a Western Diet

Background: Obesity is a growing worldwide problem with genetic and environmental causes, and it is an underlying basis for many diseases. Studies have shown that the toxicant-activated aryl hydrocarbon receptor (AHR) may disrupt fat metabolism and contribute to obesity. The AHR is a nuclear receptor/transcription factor that is best known for responding to environmental toxicant exposures to induce a battery of xenobiotic-metabolizing genes. Objectives: The intent of the work reported here was to test more directly the role of the AHR in obesity and fat metabolism in lieu of exogenous toxicants. Methods: We used two congenic mouse models that differ at the Ahr gene and encode AHRs with a 10-fold difference in signaling activity. The two mouse strains were fed either a low-fat (regular) diet or a high-fat (Western) diet. Results: The Western diet differentially affected body size, body fat:body mass ratios, liver size and liver metabolism, and liver mRNA and miRNA profiles. The regular diet had no significant differential effects. Conclusions: The results suggest that the AHR plays a large and broad role in obesity and associated complications, and importantly, may provide a simple and effective therapeutic strategy to combat obesity, heart disease, and other obesity-associated illnesses.
Antibody anti-H5N1 detection in poultry farmers and workers in poultry collection facilities in Indonesia, 2007

Aim Between July 2005 and May 2008, Indonesia reported 133 H5N1 confirmed human cases with a case fatality proportion of 81%. Fifty-four percent of cases had a history of direct contact with poultry (chickens). Therefore, it is important to define the detection of antibody of H5N1 among people who have intensive contact with poultry have been exposed to H5N1 viruses. Methods We collected sera from healthy poultry-collecting-facility (PCF) workers in Jakarta and healthy poultry-farmers in Sukabumi which have close contact with poultry. Anti-H5N1 antibodies were tested with modified Haemagglutination Inhibition (HI) assay using A/Ck/Banten/05-1116/05(H5N1) antigen and with Neutralization (NT) assay using A/H5N1/Indo/05/IBCDC-RG virus. Results Among the 216 PCF worker sera and the 495 poultry-farmer sera that we collected, we found that all poultry-farmers were seronegative and one percent of poultry-collecting-facilities workers were seropositive by both HI and 1% by NT assays. Conclusions This study detected asymptomatic H5N1 virus infection among poultry workers in PCFs with intensive contact with various types of different poultry who had different titers of antibody, but no antibodies were detected among poultry farmers. (Med J Indones 2010; 19:124-9) Keywords: Avian infl uenza, farmers, poultry workers, seropositive
Lower bounds for SRPT-subsequence algorithms for nonpreemptive scheduling

We consider the problem of nonpreemptive scheduling with release dates on one machine to minimiie total completion time (l]rj] Cj Cj). We characterize a class of approtimation algorithms which includes an e/(el)approximation algorithm called BEST-a proposed by Chekuri, Motwani, Natarajan, and Stein [1997] (e/(e 1) z 1.58). Previously, it was not known whether the bound of e/(e 1) for B&ST-a was tight. We show that no algorithm in this class has an approximation ratio better than e/(e 1).
Sparse geometric image representations with bandelets

This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates directions in which the image gray levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband-filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression and noise removal applications, the geometric flow is optimized with fast algorithms so that the resulting bandelet basis produces minimum distortion. Comparisons are made with wavelet image compression and noise-removal algorithms.
A novel antioxidant alleviates heat hyperalgesia in rats with an experimental painful peripheral neuropathy.

Rats with an experimental painful peripheral neuropathy (the chronic injury (CCI) model) display heatevoked hyperalgesia. There is now considerable evidence that nitric oxide (NO) and nitric oxide synthase are involved in the development of hyperalgesia in acute inflammatory pain states. The mechanisms responsible for hyperalgesia in chronic pain state may involve not only NO itself, but also peroxynitrite, the product of its reaction with superoxide radical, . O2- that can lead to the formation of the free radicals . OH and NO2- Under normal metabolic conditions, the cellular enzyme super oxide dismutase (SOD) provides physiological defence against superoxide radicals. TEMPOL mimics SOD and acts as a catalyst to remove the . O2- radical. The present work shows the efficacy of a stable nitroxide radical, 4-hydroxy-2, 2, 6, 6-tetramethylpiperidine-1-oxyl (TEMPOL), against heat-evoked hyperalgesia.
Repeated doses of porcine secretin in the treatment of autism: a randomized, placebo-controlled trial.

BACKGROUND AND OBJECTIVES Anecdotal reports on the efficacy of secretin in autism raised great hopes for the treatment of children with this disorder. Initial single-dose, randomized, controlled trials failed to demonstrate any therapeutic effects of secretin. The present study is the first to test the outcome of repeated doses and to examine whether there is a subgroup of children who are more likely to achieve positive effects. METHOD Sixty-four children with autism (ages 2-7 years; 55 boys and 9 girls) with a range of intelligence quotient and verbal ability were randomly assigned, in a double-blind manner, to secretin or placebo groups. Children received 2 doses of placebo or porcine secretin, 6 weeks apart. Assessments were performed at baseline and 3 weeks after each injection using several outcome measures. RESULTS There were no group differences on formal measures of language, cognition, or autistic symptomatology. Subgroupings based on cognitive level, the presence or absence of diarrhea, or a history of regression failed to show any significant therapeutic effects of secretin. CONCLUSION No evidence is provided for the efficacy of repeated doses of porcine secretin in the treatment of children with autism. The possible relationship between relief of biological symptoms and enhanced skill performance is discussed.