Miracle-dz/UniFAR-FTUs huggingface dataset:
Look who's talking: visual identification of the active speaker in multi-party human-robot interaction

This paper presents analysis of a previously recorded multi-modal interaction dataset. The primary purpose of that dataset is to explore patterns in the focus of visual attention of humans under three different conditions - two humans involved in task-based interaction with a robot; the same two humans involved in task-based interaction where the robot is replaced by a third human, and a free three-party human interaction. The paper presents a data-driven methodology for automatic visual identification of the active speaker based on facial action units (AUs). The paper also presents an evaluation of the proposed methodology on 12 different interactions with an approximate length of 4 hours. The methodology will be implemented on a robot and used to generate natural focus of visual attention behavior during multi-party human-robot interactions.
Fast map-addressing for content addressable memories using register reconfiguration

The operation of content addressable memories is relied on the mapping efficiency of the address and its location. In content addressable memories, the efficiency of the operations are derived based on the speed of data retrieval and its address mapping efficiency in a correct manner. In large register units, addressing of multiple locations and data retrieval is an overhead issue. Due to large address locations and its controlling for these large addressing, a register transition controlling and its operation for address mapping is proposed. The approach of common register model is proposed, towards addressing register transition controlling. To evaluate the operational performance of the suggested approach, the content address is tested for Network intrusion application.
Gene identiﬁcation in bacterial and organellar genomes using GeneScan

The performance of the GeneScan algorithm for gene identiﬁcation has been improved by incorporation of a directed iterative scanning procedure. Application is made here to the cases of bacterial and organnellar genomes. The sensitivity of gene identiﬁcation was 100% in Plasmodium falciparum plastid-like genome (35 kb) and in 98% in the Mycoplasma genitalium genome ( 0 580 kb) and the Haemophilus inﬂuenzae Rd genome ( 0 1.8 Mb). Sensitivity was found to improve in both the Open Reading Frames (ORFs) which have been identiﬁed as genes (by homology or by other methods) and those that are classiﬁed as hypothetical. False positive assignments (at the nucleotide level) were 0.25% in H. inﬂuenzae genome and 0.3% in M. genitalium . There were no false positive assignments in the plastid-like genome. The agreement between the GeneScan predictions and GeneMark predictions of putative ORFs was 97% in M. genitalium genome and 86% in H. inﬂuenzae genome. In terms of an exact match between predicted genes/ORFs and the annotation in the databank, GeneScan performance was evaluated to be between 72% and 90% in di(cid:128)erent genomes. We predict ﬁve putative ORFs that were not annotated earlier in the GenBank ﬁles for both M. genitalium and H. inﬂuenzae genomes. Our preliminary analysis of the newly sequenced G+C rich genome of Mycobacterium tuberculosis H 37 R v also shows comparable sensitivity (99%). # 1999 Elsevier Science Ltd.
Are patients with dementia treated as well as patients without dementia for hypertension, diabetes, and hyperlipidaemia?

BACKGROUND Patients suffering from dementia are at risk of being treated differently by GPs from patients without it. Explanations for this could be stigmatisation, treatment with a palliative approach, and the result of the disease process. AIM To ascertain whether patients with dementia are treated differently, the index diseases of hypertension, diabetes, and hyperlipidaemia were used to measure care. DESIGN OF STUDY Retrospective matched control study. SETTING German general practice. METHOD Sixteen GP practices recruited all their patients with dementia and at least one of the index diseases. Patients without dementia but only the index diseases were matched for age, sex, index disease, and practice, resulting in 216 pairs of patients with and without dementia. From the files, blood pressure, blood sugar/glycated haemoglobin, cholesterol, the dates of measurement, the number of doctor-patient contacts, and the prescribed medication to treat the three conditions under scrutiny were documented. For analysis, t-tests and χ(2)-tests were used. RESULTS No differences were found in treatment outcomes between the two patients groups, except one significant difference: one of the two documented systolic blood pressure values is lower in the dementia group. Furthermore, patients with dementia more often do not receive any medication or are treated with low-priced medications for hypertension (nearly significant). CONCLUSION GPs do not seem to treat patients with dementia differently. The use of lower-priced antihypertensive medication could be the only indication for some kind of difference in approach.
Deliverable 5.4.3 Form and function in evolving information systems

This report comprises the complete D5.4. 2 deliverable as specified for workpackage WP5.4 in Subproject SP5 of the DELIS (Dynamically Evolving Large-scale Information Systems) Integrated Project. The essential goal of the DELIS project is to understand, predict, engineer and control large evolving information systems. In this workpackage we consider a broad, though often overlooked, range of network evolution phenomena that evidence multi-scale and multi-level phenomena. We believe that understanding such phenomena is key to relating form to function in complex evolving networks that display emergent properties and rich self-organised structure. In the first section we report on our work towards the production of a group selection design pattern applicable to a number of domains within distributed information systems. We have collected together and summarised in a standard format and framework how the group selection pattern has been applied in a number of domains. We still believe however that the approach requires further work to be proposed as a coherent pattern because of a number of open issues which we discuss. In the second section we report on a recent paper which demonstrates in simple steps how to translate biological and social evolution-type simulation models into a set of concurrent threads for distributed systems protocols based around a “tournament” selection approach. We believe this kind explanatory work can be of use to systems designers who wish to translate abstract biological and social models into experimental distributed systems protocols. In the third section we report some work which has lead to a negative result. We investigated the viability of producing a fully distributed real-time peer-to-peer (P2P) protocol for discovering the emergent structure of it’s own network by identifying the network motifs that comprise it. Some of our previous work on motif patterns in P2P protocols had indicated the potential value of such a protocol. However, we found serious limitations given only local knowledge and we discuss these to indicate why we considered this approach not viable. Finally we report on recent work exploring multi-level processes and structures in software development and in the context of the spontaneous emergence of modularity without selective forces.1 Most papers produced within DELIS are available from the DELIS website as DELIS Technical Reports. Where this is the case references are appended with the DELIS Tech Report number in square brackets. This indicates the paper was produced within the DELIS project, not some other project.
Research on reducing torque ripple of dtc fuzzy logic-based

The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy with a fuzzy logic controller has been proposed. The inputs of the fuzzy controller are the speed error signal and the change rate of current signal. The output is incremental value of the torque hysteresis amplitude. Dynamic adjustment of the torque hysteresis amplitude is the ultimate goal. The simulation results show that the DTC system with hysteresis amplitude adjustment fuzzy logic controller can reduce the pulsation of the motor torque and flux, and improve the performance of low-speed operating conditions.
Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes: The Robustness of the Extremity Effect

Calls to communicate uncertainty using mixed, verbal‐numerical formats (‘unlikely [0–33%]’) have stemmed from research comparing mixed with solely verbal communications. Research using the new ‘which outcome’ approach to investigate understanding of verbal probability expressions suggests, however, that mixed formats might convey disadvantages compared with purely numerical communications. When asked to indicate an outcome that is ‘unlikely’, participants have been shown to often indicate outcomes with a value exceeding the maximum value shown, equivalent to a 0% probability —an ‘extremity effect’. Recognising the potential consequences of communication recipients expecting an ‘unlikely’ event to never occur, we extend the ‘which outcome’ work across four experiments, using verbal, numerical, and verbal‐numerical communication formats, as well as a previously unconsidered numerical‐verbal format. We examine how robust the effect is in the context of consequential outcomes and over non‐normal distributions. We also investigate whether participants are aware of the inconsistency in their responses from a traditional ‘how likely’ and ‘which outcome’ task. We replicate and extend previous findings, with preference for extreme outcomes (including above maximum values) observed in both verbal and verbal‐numerical formats. Our results suggest caution in blanket usage of recently recommended verbal‐numerical formats for the communication of uncertainty.
Cell Culture Platforms with Controllable Stiffness for Chick Embryonic Cardiomyocytes

For several years, cell culture techniques have been physiologically relevant to understand living organisms both structurally and functionally, aiming at preserving as carefully as possible the in vivo integrity and function of the cells. However, when studying cardiac cells, glass or plastic Petri dishes and culture-coated plates lack important cues that do not allow to maintain the desired phenotype, especially for primary cell culture. In this work, we show that microscaffolds made with polydimethylsiloxane (PDMS) enable modulating the stiffness of the surface of the culture substrate and this originates different patterns of adhesion, self-organization, and synchronized or propagated activity in the culture of chick embryonic cardiomyocytes. Thanks to the calcium imaging technique, we found that the substrate stiffness affected cardiomyocyte adhesion, as well as the calcium signal propagation in the formed tissue. The patterns of activity shown by the calcium fluorescence variations are reliable clues of the functional organization achieved by the cell layers. We found that PDMS substrates with a stiffness of 25 kPa did not allow the formation of cell layers and therefore the optimal propagation of the intracellular calcium signals, while softer PDMS substrates with Young’s modulus within the physiological in vivo reported range did permit synchronized and coordinated contractility and intracellular calcium activity. This type of methodology allows us to study phenomena such as arrhythmias. For example, the occurrence of synchronized activity or rotors that can initiate or maintain cardiac arrhythmias can be reproduced on different substrates for study, so that replacement tissues or patches can be better designed.
Selective Involvement of Superior Frontal Cortex 2 during Working Memory for Shapes 3 4 5 Introduction

Lydia T.S. Yee, Katherine Roe, Susan M. Courtney 6 7 8 9 10 1) Department of Psychological and Brain Sciences 11 Johns Hopkins University, Baltimore MD 12 13 2) Department of Psychology 14 University of Illinois at Urbana-Champaign, IL 15 16 3) Section on Integrative Neuroimaging 17 Clinical Brain Disorders Branch 18 National Institute of Mental Health 19 National Institutes of Health, Bethesda MD 20 21 4) Department of Neuroscience 22 Johns Hopkins University, Baltimore MD 23 24 5) F.M. Kirby Research Center for Functional Brain Imaging 25 Kennedy Krieger Institute, Baltimore MD 26 27 28 29 30 Corresponding Author: 31
On-Off Frequency-Shift Keying for Wideband Fading Channels

Abstract-ary on-off frequency-shift keying (OOFSK) is a digital modulation format in which-ary FSK signaling is overlaid on on/off keying. This paper investigates the potential of this modulation format in the context of wideband fading channels. First, it is assumed that the receiver uses energy detection for the reception of OOFSK signals. Capacity expressions are obtained for the cases in which the receiver has perfect and imperfect fading side information. Power efficiency is investigated when the transmitter is subject to a peak-to-average power ratio (PAR) limitation or a peak power limitation. It is shown that under a PAR limitation, it is extremely power inefficient to operate in the very-low-SNR regime. On the other hand, if there is only a peak power limitation, it is demonstrated that power efficiency improves as one operates with smaller SNR and vanishing duty factor. Also studied are the capacity improvements that accrue when the receiver can track phase shifts in the channel or if the received signal has a specular component. To take advantage of those features, the phase of the modulation is also allowed to carry information.
Methods of multilocus enzyme electrophoresis for bacterial population genetics and systematics

Methodes d'extraction d'enzymes, d'electrophorese en gel et de coloration specifique des enzymes utilisees pour etudier la variation genetique chez Escherichia coli et d'autres bacteries. Les procedures decrites peuvent s'appliquer, avec quelques modifications mineures, a toute espece de bacterie
Efficient systolic implementation of DFT using only the first-order moments

The Discrete Fourier transform (DFT) is an important tool in digital signal processing. In this paper, a novel approach to DFT is proposed. The computation of DFT is transformed to the computation of the first-order moments by the simple mathematical deductions. It is well known that the first-order moments can be computed efficiently using only additions. An efficient systolic array is designed to implement DFT. The comparison with the existing methods shows the advantages of our method. The approach is also applicable to DFT inverses.
Examining Knowledge Management Enabled Performance for Hospital Professionals: A Dynamic Capability View and the Mediating Role of Process Capability

Research Article Ing-Long Wu National Chung Cheng University ilwu@mis.ccu. edu.tw Ya-Ping Hu National Chung Cheng University yapinghu@mis.ccu. edu.tw Healthcare organizations are essentially associated with highly knowledge-intensive property, and hospital professionals are key to providing high-quality care to patients. KM-enabled performance for hospital professionals is the major concern of senior management. The literature has generally argued for a processbased approach for KM-enabled performance in which process capabilities mediate the link between knowledge resources and performance. According to the knowledge-based view, KM-enabled performance should be rooted in the identification of knowledge resources, including knowledge assets and capabilities. Further, the concept of dynamic capabilities defines an interaction feature between knowledge assets and capabilities. Next, KM-enabled performance is generally defined to include both financial and patient performance. Based on the dynamic capability view and the mediating role of process capability, this research thus proposes a novel research model for exploring KM-enabled performance for hospital professionals, which this includes three major components: interaction between hospital knowledge assets and capabilities, hospital process capabilities, and hospital performance. The empirical results indicate that the model of KM-enabled performance is well fitted with these components, and hospital professionals are closely associated with KMenabled performance in providing high-quality care.
Streaming aspect-sentiment analysis

Sentiment analysis of online users has been attracting significant interests in both academics and industry, but is always challenging. In this paper, we propose an effective algorithm that can work with text streams and big text collections, without human supervision. This method is based on the state-of-the-art model, namely Aspect and Sentiment Unification Model (ASUM). Our method has several advantages compared to existing approaches: (i) it is a streaming algorithm which is able to deal with large or streaming data, with whom existing approaches cannot work; (ii) at the core of our algorithm is an inference method which has a theoretical guarantee about quality and convergence rate, whereas existing methods do not have; (iii) by further proposing to keep prior knowledge when learning, our method can do sentiment classification better. Extensive experiments on different review datasets show the effectiveness and efficiency of our algorithm in practice.
Factors affecting the pores of the inner wall endothelium of Schlemm's canal.

PURPOSE A linear relationship between the density of pores in the inner wall of Schlemm's canal and aqueous outflow facility has been reported previously in a study in which investigators examined only eyes fixed at constant pressure, so that fixative flow rates differed from eye to eye. Because pores may form as a function of flow rate, the purpose in the current study was to verify the previous findings, using constant flow perfusions. METHODS Outflow facility was measured in enucleated human eyes. Eyes were fixed under either constant flow or constant pressure conditions, microdissected to expose the inner wall of Schlemm's canal, and prepared for scanning electron microscopy. The density and diameter of pores in the inner wall were measured. RESULTS Statistical analysis showed no correlation between outflow facility and either the density or the diameter of pores. Pore density decreased significantly during the hours after death. Examining only eyes for which experimentation was started within 20 hours of death, we found that pore density increased significantly with the volume of fixative that had been perfused through the outflow pathway. CONCLUSIONS The correlation found by Allingham et al between outflow facility and pore density in the inner wall endothelium was not confirmed. However, the relationship between pore density and volume of fixative perfused is consistent with and may be responsible for the finding in the previous study. Because fixation conditions can influence the apparent pore density in the inner wall endothelium significantly, the conclusion reached previously, that pores contribute only 10% of the aqueous outflow resistance, may require reevaluation.
A Fast Parallel Branch and Bound Algorithm for Treewidth

In this paper, we propose a Fast Parallel Branch and Bound algorithm (FPBB) for computing tree width. FPBB searches the elimination ordering space using depth-first search approach, and employs multithreading techniques to search smaller divided spaces simultaneously. In order to protect the shared hash table without increasing the running time, we have designed a special algorithm for the readers-writers problem. We also present a new heuristic called similar group for refining search space. With other carefully chosen heuristics, FPBB performs well in computing both lower bound and upper bound on tree width, and has solved 17 benchmark graphs whose exact tree widths were previously unknown. Additionally, FPBB is an anytime algorithm, which is insensitive to initial upper bound, and is able to find exact answer quickly. Computational results show that FPBB is significantly faster than the state-of-the-art algorithm proposed by Zhou and Hansen.
Medically Important Coagulase Negative Staphylococci

In recent years, coagulase negative Staphylococci (CONS) are increasingly recognized as one of the major causes of health care associated infections (HCAI). CONS infections are one of the major causes of morbidity and mortality in hospitalized patients. As CONS colonize various parts of the skin and mucous membranes, most of infections are endogenous in origin. However, they are also transmitted exogenously via various medical/ surgical procedures. The aim of present review article is to update and summarize the information available on medically important CONS with special reference to epidemiology, laboratory diagnosis and antibiotic resistance.
Computing and calibrating collision impulses and its application for air hockey game

In this paper, we calibrate Mirtich's approach (1996) for computing a collision impulse by two kinds of randomized algorithms, and then apply the model for an air hockey game. Mirtich proposed a smart dynamic simulation called impulse-based simulation. He considers twin goals of physical accuracy and computational efficiency. The simulation can accurately model complex dynamic system in real-time. However, whether his impulse-based model is reasonable or not has not been investigated at all by any experimental result. For example, his impulse model requires the dynamic friction coefficient /spl mu//sub D/ and the coefficient e of restitution in advance. However, they strongly depend on shape and material of colliding objects. Because of noise and error of sensing, it is difficult for us to measure the parameters exactly. For this reason, in this paper, we calibrate these by using two kinds of randomized algorithms based on many reductions of momentums before and after the collision. Each momentum (multiplying mass and velocity) can be easily obtained by measuring relative linear velocities and angular velocities before and after the collision. They are practically and easily measured by a smart imaging of two objects. The air hockey game designed consists of two PC with two joysticks including force feedback, which are connecting each other by the fast Ethernet.
Skype traffic detection: A decision theory based tool

The classification of data sessions on the Internet is a crucial issue for Authorities involved in lawful interception. Some Internet Service Providers (ISP) can provide a panel of IP nodes that, tuned to detect specific data patterns, are able to send an alert when a data session in a targeted class is found. Unluckily, several applications generate a bulk of IP traffic not characterized by a recognizable sequence of information segments, except, may be, for some short phases such as setup and release. Whenever such phases are not intercepted, no specific pattern in the IP traffic can help toward semantic recognition and hence statistical pattern recognition is in force. This is actually the case of Skype, the popular application for VoIP communications. In this paper we propose and evaluate a decision theory based system allowing to recognize Skype traffic with the help of an open-source machine learning tool: Weka.
Example-based single image enhanced up-sampling

We propose a novel single image super-resolution technique that combines an example-based approach and an unsharp mask image enhancement approach in a three-layer Markov network structure. The single image super-resolution problem is formulated as an optimization problem in the Markov network. We derive the maximum-a-posterior (MAP) solution of the problem by an iterative process in which the MAP is the fixed point solution. To evaluate our algorithm, we compare its results with those of state-of-the-art methods and a commercial product.