Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of screen configuration and interaction devices in shared display groupware

Interactive tabletop and wall surfaces support collaboration and interactivity in novel ways. Apart from keyboards and mice, such systems can also incorporate other input devices, namely laser pointers, marker pens with screen location sensors, or touch-sensitive surfaces. Similarly, instead of a vertically positioned desktop monitor, collaborative setups typically use much larger displays, which are oriented either vertically (wall) or horizontally (tabletop), or combine both kinds of surfaces. In this paper we describe an empirical study that investigates how technical system constraints can affect group performance in high pace collaborative tasks. For this, we compare various input and output modalities in a system that consists of several interactive tabletop and wall surface(s). We observed that the performance of a group of people scaled almost linearly with the number of participants on an almost perfectly parallel task. We also found that mice were significantly faster than laser pointers, but only by 21%. Also, interaction on walls was significantly faster than on the tabletop, by 51%.
Using Appraisal Taxonomies for Sentiment Analysis

Recent years have seen a growing interest in non-topical text analysis, in which characterizations are sought of the opinions, feelings, and attitudes expressed in a text, rather than just the facts. A key problem in this area is sentiment classification, in which a document is labelled as a positive (‘thumbs up’) or negative (’thumbs down’) evaluation of a target object (film, book, product, etc.). Immediate applications include data and web mining, market research, and customer relationship management.
Rigidity of proper holomorphic mappings between equidimensional bounded symmetric domains

We prove that any proper holomorphic mapping between two equidimensional irreducible bounded symmetric domains with rank > 2 is a biholomorphism. The proof of the main result in this paper will be achieved by a differential-geometric study of a special class of complex geodesic curves on the bounded symmetric domains with respect to their Bergman metrics.
Evidence-Based Practices for Preventing Substance Abuse and Mental Health Problems in Older Adults

The prevention of substance abuse and mental health problems within the aging population has been recognized as a national priority. The Substance Abuse and Mental Health Services Administration's Older Americans Substance Abuse and Mental Health Technical Assistance Center (TAC) is committed to serving as a leading resource for the prevention and early intervention of late-life substance use and mental health problems. Despite the substantial prevalence and adverse consequences of substance use and mental health problems in older persons and the considerable knowledge related to preventing these problems, evidence-based prevention and early intervention services are not widely available nor promoted for this at-risk population. Given financial restrictions facing many health care systems, guidance is needed to direct limited available resources toward the provision of programs that have proven effectiveness. To support this effort, the TAC has reviewed the best available evidence supporting programs that target the prevention and early intervention of substance abuse and mental health problems in older adults. The purpose of this review is to highlight prevention and early intervention programs that have proven effectiveness. This report identifies the demographic imperative for addressing late-life substance use and mental health problems, describes the current terminology of prevention programs and practices, provides a comprehensive review of the published evidence base for the prevention and early intervention of geriatric substance abuse and mental health problems based on the empirical evidence, and describes dissemination and implementation issues that align with state needs and priorities. Five specific areas are addressed. These include the prevention and early intervention of alcohol misuse, medication misuse, depression and anxiety, suicide, and co-occurring substance abuse and mental health problems among older adults. This review provides a comprehensive examination of prevention programs in these areas that have been published through September 2005. Alcohol Misuse  Brief interventions can reduce alcohol misuse and hazardous drinking among older adults. Specifically, structured brief interventions and brief advice in health care settings have shown to be effective at reducing alcohol consumption in this population. 1  Little evidence is available regarding universal prevention programs targeted at the prevention or reduction of alcohol misuse among older adults. Some health education programs have demonstrated increased knowledge among older adults about hazardous alcohol use.  Recently developed screening and assessment instruments show promise as useful tools to improve identification of older at-risk drinkers and enhance clinician interactions to prevent or reduce alcohol misuse. Medication Misuse  Computer-based …
Transfer of Learning between Higher Education and the Workplace

This thesis examined the process of learning transfer between university and the workplace by investigating the one-year work-placement experiences of three undergraduate students. For this study, transfer was conceptualised as an ongoing process, based on three distinct dimensions:knowledge, social interactions and self; supported by physical and conceptual mediational means; and framed by the context(s) in which it occurred. In order to address these dimensions, a new learning transfer model was developed, drawing on classical and sociocultural perspectives on transfer. The participants were three undergraduate students from the University of Leeds, from different schools and degrees. They were in between their second and third years, and they were undergoing a paid work-placement. The chosen methodological approach was a longitudinal case study with three instrumental cases, resorting to interviews with the students in transition, observation of two of the students, and further collection of secondary data, including students’ placement reflections. The data was coded and analysed through thematic and cross-case analysis. Using the developed learning transfer model enabled the understanding of transfer of learning, within the transition between university and the workplace, as a multidimensional and intercontextual process of transformation, experienced by the students in a developmental manner. The study’s findings also identified a narrow understanding of learning transfer by the students and discussed the possible implications of this perspective on their ability to transfer. Regarding the context of the study, work-placements were found to be beneficial experiences for the students. However, the study proposes that placement experiences are reframed as broader opportunities for learning and development.
Silicon Monoxide Observations Reveal a Cluster of Hidden Compact Outflows in the OMC 1 South Region

We present high angular resolution (2.″8 × 1.″7) SiO J = 5 → 4, v = 0 line observations of the OMC 1S region in the Orion Nebula made using the Submillimeter Array (SMA). We detect for the first time a cluster of four compact bipolar and monopolar outflows that show high-, moderate-, and low-velocity gas and appear to be energized by millimeter and infrared sources associated with this region. The SiO molecular outflows are compact (<3500 AU), and in most of the cases, they are located very close to their exciting sources. We thus propose that the SiO thermal emission is tracing the youngest and most highly excited parts of the outflows that cannot be detected by other molecules. Moreover, since the ambient cloud is weak in the SiO line emission, these observations can reveal flows that in other molecular transitions will be confused with the ambient velocity cloud emission. Analysis of their position-velocity diagrams show that some components of these outflows may be driven by wide-angle winds very close to the exciting object. Finally, we find that some of these SiO outflows seem to be the base of powerful Herbig-Haro jets and large-scale molecular flows that emanate from a few arcseconds around this zone. In particular, we find a strongly excited SiO bipolar outflow with a P.A. of ~100° that is likely energized by the luminous (~3 × 103 L☉) infrared protostar "B" and could be the base of the remarkable object HH 269.
The first Johnson subgroups act ergodically on SU_2-character varieties

We show that the first Johnson subgroup of the mapping class group of a surface S of genus greater than one acts ergodically on the moduli space of representations of the fundamental group of S in SU_2. Our proof relies on a local description of the latter space around the trivial representation and on the Taylor expansion of trace functions.
Local quasi-interpolation by cubic C1 splines on type-6 tetrahedral partitions

We describe an approximating scheme based on cubic C1 splines on type-6 tetrahedral partitions using data on volumetric grids. The quasi-interpolating piecewise polynomials are directly determined by setting their Bernstein-Bezier coefficients to appropriate combinations of the data values. Hence, each polynomial piece of the approximating spline is immediately available from local portions of the data, without using prescribed derivatives at any point of the domain. The locality of the method and the uniform boundedness of the associated operator provide an error bound, which shows that the approach can be used to approximate and reconstruct trivariate functions. Simultaneously, we show that the derivatives of the quasi-interpolating splines yield nearly optimal approximation order. Numerical tests with up to 17 x 10 6 data sites show that the method can be used for efficient approximation.
Improved Variable Neighbourhood Search Algorithm for Robust Job Shop Scheduling Problems

Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for solving combinatorial optimization problems. In this paper, an improved variable neighbourhood search (IVNS) algorithm is proposed to solve robust Job Shop Scheduling (JSS) problem with makespan as the performance criterion in which uncertain processing times are described by discrete scenarios. A new robust optimization model is established in single-stage production environments. The concept of robust optimization is proposed based on a set of bad scenarios, which is identified by a given threshold of performance for an associated schedule. The robust scheduling problem is formulated by minimizing an amount of penalty on the set of bad scenarios due to their poor performances.
A five-level inverter topology with common-mode voltage elimination for induction motor drives

Common-mode voltages generated by PWM inverters in induction motor drives cause shaft voltages, bearing currents and ground leakage currents resulting into early mechanical failure of machine bearings and conducted EMI. A five-level inverter topology with switching state combination selection strategy for the PWM control is proposed for an open-end winding induction motor drive, which completely eliminates the common-mode voltages at inverter poles and machine phase windings, in the complete modulation range of the drive. The proposed induction motor drive structure offers reduced device count, simple power-bus structure and more number of redundant switching state combinations when compared to a conventional five-level NPC inverter fed induction motor drive. The DC-link voltage requirement for the proposed five-level inverter fed drive scheme is half compared to that of conventional five-level inverter fed drive and hence it needs power devices with lower blocking voltage capability, which makes the proposed inverter topology suitable for high power induction motor drive applications
Comparison of early and late intravenous gamma globulin treatment of Kawasaki disease on fever and cardiovascular complications

Background: Cardiac involvement was the major leading cause of death in patients with Kawasaki and IVIG administration reduces cardiac complications. The objective of this study was to determine the frequency of cardiovascular complications and duration of fever with regard to the time of intravenous immunoglobulin (IVIG) administration of patients with Kawasaki disease. Methods: This follow-up study was done on all patients with Kawasaki disease who were hospitalized at Amirkola Children’s Hospital between 2006 and 2011. Diagnosis of Kawasaki was clinical and included fever more than 5 days with 4 of 5 signs containing mucosal changes, scaling and skin rash, bilateral nonexudative conjunctivitis, cervical lymph adenopathy and edema in lower extremities. After diagnosis of Kawasaki, all patients received standard treatment (intravenous immunoglobulins and aspirin) and undergoing cardiac echocardiography in 2 weeks, 2 months and 6 months. Information including age, sex, sign of diseases, laboratory findings, and cardiac complications in echocardiography were recorded. Results: This study was performed on 100 patients (61 boys and 39 girls) with Kawasaki disease. The mean age of children was 2.8±2.6 years. Cardiac complication rate was 47% at the onset of the disease and had reached to 7% at the end of the sixth month (P=0.000). Distribution of cardiovascular complications in the second week, the second month and the sixth month after treatment was not significantly different according to the start of time of treatment (p>0.05). Duration of fever in patients who received treatment before 10th day (1.5±1.3) did not have significant difference (P=0.78) with patients who received after 10th day (1.6±0.9). Conclusion: Result shows that most of patients (99%) responded to the treatment with IVIG and ASA and cardiovascular complication ratio decreased. There was not significant relationship between duration of fever and time of IVIG treatment initiation.
Upwind convective influences on the isotopic composition of atmospheric water vapor over the tropical Andes

We take advantage of the spatial coverage provided by the Tropospheric Emission Spectrometer on‐board the Aura satellite to evaluate processes that control seasonal variations in atmospheric water vapor HDO/H2O values (δDvapor) over the tropical Andes. δDvapor is lower in austral summer (December, January, and February, DJF) than austral winter (June, July, and August, JJA), which is broadly consistent with precipitation studies and with δ18Osnow preserved in tropical Andean glaciers. In DJF, 64% of δDvapor measurements over the tropical Andes are lower than predicted by Rayleigh distillation while 40% of JJA δDvapor measurements are lower than predicted by Rayleigh distillation. Air that has lower δDvapor than predicted by Rayleigh distillation at a given water vapor concentration (q) encounters low minimum outgoing longwave radiation (<240 W m−2) en route to the tropical Andes, suggesting convective intensity controls the isotopic ratios of these measurements. The broad regional coverage of the satellite data allows us to map the spatial extent of the region where isotopic ratios reflect convective processes in different seasons. In DJF, convection strongly influences δDvapor in the central tropical Andes. In JJA, convection influences δDvapor north of the tropical Andes. This pattern suggests that monsoon convection controls δDvapor in austral summer while large‐scale advective mixing controls Andean δDvapor in austral winter.
Neurophysiological Investigation of Context Modulation based on Musical Stimulus

There are numerous studies which suggest that perhaps music is truly the language of emotions. Music seems to have an almost willful, evasive quality, defying simple explanation, and indeed requires deeper neurophysiological investigations to gain a better understanding. The current study makes an attempt in that direction to explore the effect of context on music perception. To investigate the same, we measured Galvanic Skin Responses (GSR) and self-reported emotion on 18 participants while listening to different Ragas (musical stimulus) composed of different Rasa's (emotional expression) in the different context (Neutral, Pleasant, and Unpleasant). The IAPS pictures were used to induce the emotional context in participants. Our results from this study suggest that the context can modulate emotional response in music perception but only for a shorter time scale. Interestingly, here we demonstrate by combining GSR and self-reports that this effect gradually vanishes over time and shows emotional adaptation irrespective of context. The overall findings suggest that specific context effects of music perception are transitory in nature and gets saturated on a longer time scale.
Plausible Joint Attention Models 1 In Search of : Plausible Models of the Emergence of Joint Visual Attention

Recent accounts of the emergence of joint attention implicate cognitive mechanisms that are not justified by empirical data. The schism between theory and evidence bespeaks a reliance on outmoded cognitive frameworks. Recent research on infant joint attention skills is reviewed, with the goal of a viable, parsimonious model of processes and variables that can explain the behavioral data. The importance of robotic and comparative research for testing this model is discussed.
MOS transistor modeling for RF IC design

This paper presents the basis of the modeling of the MOS transistor for circuit simulation at RF. A physical equivalent circuit that can easily be implemented as a Spice subcircuit is first derived. The subcircuit includes a substrate network that accounts for the signal coupling occurring at HF from the drain to the source and the bulk. It is shown that the latter mainly affects the output admittance Y22. The bias and geometry dependence of the subcircuit components, leading to a scalable model, are then discussed with emphasis on the substrate resistances. Analytical expressions of the Y parameters are established and compared to measurements made on a 0.25-/spl mu/m CMOS process. The Y parameters and transit frequency simulated with this scalable model versus frequency, geometry, and bias are in good agreement with measured data. The nonquasi-static effects and their practical implementation in the Spice subcircuit are then briefly discussed. Finally, a new thermal noise model is introduced. The parameters used to characterize the noise at HF are then presented and the scalable model is favorably compared to measurements made on the same devices used for the S-parameter measurement.
IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation

Social networks are fundamental to virtual communities (e.g., forums, blogs) and virtual communities benefit from well-established social networks. As making friends with other members is a common way to establish social relationships and people need to decide whom they should trust when making friends, friend recommendation has received considerable attention in virtual communities. Towards this goal, we first formulate hypotheses on factors that influence trust and the probability of establishing friendships from various interaction attributes in virtual communities. Through experiments on real interaction and friendship data, we validate the proposed hypotheses and propose a novel interaction ranking-based trustworthy friend recommendation model called IntRank for recommending trustworthy friends to community members. Different from traditional friend recommendation mechanisms, IntRank is built on the foundation of carefully verified interaction attributes that influence trust and friendship probability in virtual communities. It is able to effectively recommend trustworthy friends as confirmed by the performance evaluation results.
Effect of product market diversification on firm performance

In this paper an attempt is made to test the hypothesis that diversification leads to an improvement in firm performance. A sample of 524 Indian private sector manufacturing firms is analysed for the post-liberalisation period from 1992 to 1995. The measure of performance is the excess profitability of the firm as compared to the industry average or benchmark profitability. Using the threshold regression model, it is seen that the directions of diversification leading to improved performance depends largely on how efficiently the assets are utilised in the present operations. If the asset utilisation was around the industry average then related diversification improves the overall performance. However, when the firm is not able to best utilise the assets in present operations, performance was significantly improved with diversification into unrelated industries. ∗ This paper is a part of my doctoral dissertation submitted at the Indira Gandhi Institute of Development Research, Mumbai in September 1999. Address for correspondence: Ms.Vardhana Pawaskar(nee Saple), 601, Nilanjana, Marve Road, Malad (west), Mumbai – 400 064, INDIA. E-mail: vardhanas@hotmail.com
Conceptual graphs in constraint based re-design

This paper elaborates on the use of conceptual graphs for the representation of different types of objects and constraints in a re– design support system. Conceptual graphs, or conceptual structures, have been proposed for use in natural language processing and for representing mental models. However, recently they have also been proposed for use in the field of CAD/CAM. Conceptual graphs are graphs with two different kinds of nodes: concepts and conceptual relations. ReAesign support involves the modelling of assemblies and components, which on their turn are composed of features and geometric elements. The assemblies, components, features and geometric elements are represented by the concepts in the conceptual graph. The constraints between these entities are represented as conceptual relations. Constraints, such as geometric, kinematic, and manufacturing constraints are represented using conceptual graphs. Thus, conceptual graphs provide for an elegant way of representing hods functioning and manufacturing constraints. Constraints are satisfied using a ‘mukibrid’ constraint satisfaction approach, employing geometxy related domain knowledge for the geometry related constraints and an algebraichmmeric approach for the remaining constraint equations. The combination of the constraint satisfaction mechanism and the conceptual graphs allows for a unified way of handling assembly, comprnent and feature related information, Conceptual graphs are not only used in representing assemblies, components, features, and constraints, but also in supporting a mixed topiown and bottom-up design style,