323 research outputs found

    A dynamic life of cause : a concept and models using for computer-assisted choreography

    No full text
    ISSN: 1071-4391 - http://www.leoalmanac.org/leonardo-electronic-almanac-volume-15-no-5-6-may-june-2007/International audienceThe authors propose a series of physics-based models relating to dance verbs. These physics-based and dance verb-relating models generate dance movements dynamically instead of reserve of motion data. In terms of movement representation, these models are useful for computer-assisted choreography and for character animation. In terms of movement understanding, these models based on physics are useful as well by manipulating the cause-effect relation of modeling. In other words, these models can be a kind of predictive models for human behavioral research. In the article, the authors explain mainly the concept of ''a dynamic life of cause'' relating to both physics-based models and dance verbs. Furthermore, the authors propose composing ''a dynamic life of cause'' for movement composition

    Minimal dynamic modeling of gesture of danse (toward a model based on knowledge engraved within the body)

    No full text
    International audienceDance movement is not only to perform a desired motion but also to feel and to transmit sensation (expression) by body and energy. Dynamic models are particularly adequate for this objective. In this paper, we present a set of dynamic models based on physically-based particle modeling

    AN EMPIRICAL STUDY ON THE PHYSICIANS’ BEHAVIORAL INTENTION WITH ELECTRONIC MEDICAL RECORD SYSTEMS IN TAIWAN

    Get PDF
    Currently in healthcare organizations paper-based patient record management faces many challenges. Most countries are promoting the full implementation of electronic medical records in every hospital. Medical environments change frequently and dramatically, which makes full acceptance of electronic medical records (EMR) by physicians an important issue. This empirical study combines the theory on reasoned action (TRA) and information technology acceptance model (TAM) resulted in a modified TAM to find what critical factors influence the acceptance behavior of EMR by physicians. To test these hypotheses, this study administered a cross-sectional mailed questionnaire survey during the period of three months in 2012. The survey was deployed to1000 physicians randomly from the estimated total 2000 physicians of 50 regional acute hospitals (more than 300 beds) in Taiwan currently. From these, 252effective responses were received, resulting in a net response rate of 25%. These research findings indicate that four variables significantly positively impact the intention to adopt EMR. Among these, attitude has the most significant positive impact on adoption intentions. Moreover, it shows that the professional autonomy might play an important role to moderate the attitude with significant statistics. These results maintain enough explanatory power (R2 =78.4%) to help explain the attitudes and intentions of physicians in adopting electronic medical record information systems. Our analysis revealed the importance of the perception usefulness which moderated by professional autonomy and pragmatism by physicians for their adoption electronic medical record systems in clinical practice

    Physically-based particle modeling for dance verbs

    No full text
    International audienceDance movement is not only to perform a desired motion but also to feel and to transmit sensation (expression) by body ad energy. Dynamic models are particularly adequate for this objective. In this paper, we present a set of dynamic models based on physical-particle modeling. We started from a selection of typical verbs of dance representing relevant basic dance actions. For each of them, we designed the simplest physically-based particle model

    Generating dance verbs and assisting computer choreography

    No full text
    International audienceIn this paper, we present a set of dynamic models according to dance verbs: to rebound, to jump, to flip, to wave (etc) served by physically-based particle modeling based on Newton's law. Among them, user has a high-level motion control to modify the quality of such dynamically generated movement. These dynamic are hence well suited to produce spontaneous motion that looks natural and plausible. Our methodology exhibits energetic succession and connects well the dance, physics and computer. It's a direction for computer-aided choreography

    Characterizing First Arrival Position Channels: Noise Distribution and Capacity Analysis

    Full text link
    This paper addresses two fundamental problems in diffusive molecular communication: characterizing the first arrival position (FAP) density and bounding the information transmission capacity of FAP channels. Previous studies on FAP channel models, mostly captured by the density function of noise, have been limited to specific spatial dimensions, drift directions, and receiver geometries. In response, we propose a unified solution for identifying the FAP density in molecular communication systems with fully-absorbing receivers. Leveraging stochastic analysis tools, we derive a concise expression with universal applicability, covering any spatial dimension, drift direction, and receiver shape. We demonstrate that several existing FAP density formulas are special cases of this innovative expression. Concurrently, we establish explicit upper and lower bounds on the capacity of three-dimensional, vertically-drifted FAP channels, drawing inspiration from vector Gaussian interference channels. In the course of deriving these bounds, we unravel an explicit analytical expression for the characteristic function of vertically-drifted FAP noise distributions, providing a more compact characterization compared to the density function. Notably, this expression sheds light on a previously undiscovered weak stability property intrinsic to vertically-drifted FAP noise distributions.Comment: 30 pages; 3 figures, 1 table; this paper is submitted to IEEE Transactions on Communication

    Fabrication of Inorganic Coatings Incorporated with Functionalized Graphene Oxide Nanosheets for Improving Fire Retardancy of Wooden Substrates

    Get PDF
    Flame-retardant chemicals are frequently used within consumer products and can even be employed as a treatment on the surface of different types of materials (e.g., wood, steel, and textiles) to prevent fire or limit the rapid spread of flames. Functionalized graphene oxide (FGO) nanosheets are a promising construction coating nanomaterial that can be blended with sodium metasilicate and gypsum to reduce the flammability of construction buildings. In this work, we designed and fabricated novel and halogen-free FGO sheets using the modified Hummers method; and subsequently functionalized them by pentaerythritol through a chemical impregnation process before dispersing them within the construction coating. Scanning electron microscopic images confirm that the FGO-filled coating was uniformly dispersed on the surface of wooden substrates. We identified that the FGO content is a critical factor affecting the fire retardancy. Thermogravimetric analysis of the FGO coating revealed that higher char residue can be obtained at 700 °C. Based on the differential scanning calorimetry, the exothermic peak contained a temperature delay in the presence of FGO sheets, primarily due to the formation of a thermal barrier. Such a significant improvement in the flame retardancy confirms that the FGO nanosheets are superior nanomaterials to be employed as a flame-retardant construction coating nanomaterial for improving thermal management within buildings

    The Influence of Type 2 Diabetes and Glucose-Lowering Therapies on Cancer Risk in the Taiwanese

    Get PDF
    Objective. To investigate the association between type 2 diabetes, glucose-lowering therapies (monotherapy with either metformin, sulphonylurea or insulin) and cancer risk in Taiwan. Methods. Using Taiwan's National Health Research Institutes database of 1,000,000 random subjects from 2000–2008, we found 61777 patients with type 2 diabetes (age ≥20 years) and 677378 enrollees with no record of diabetes. Results. After adjusting for age and sex, we found patients with diabetes to have significantly higher risk of all cancers (OR: 1.176; 95% CI: 1.149–1.204, P < 0.001). Diabetic patients treated with insulin or sulfonylureas had significantly higher risk of all cancers, compared to those treated with metformin (OR: 1.583; 95% CI: 1.389–1.805, P < 0.001 and OR: 1.784; 95% CI: 1.406–2.262, P < 0.001). Metformin treatment was associated with a decreased risk of colon and liver cancer compared to sulphonylureas or insulin treatment. Sulfonylureas treatment was associated with an increased risk of breast and lung cancer compared to metformin therapy. Conclusions. Taiwanese with type 2 diabetes are at a high risk of breast, prostate, colon, lung, liver and pancreatic cancer. Those treated with insulin or sulfonylureas monotherapy are more likely to develop colon and liver cancer than those treated with metformin

    Effective gene expression in the rat dorsal root ganglia with a non-viral vector delivered via spinal nerve injection

    Get PDF
    Delivering gene constructs into the dorsal root ganglia (DRG) is a powerful but challenging therapeutic strategy for sensory disorders affecting the DRG and their peripheral processes. The current delivery methods of direct intra-DRG injection and intrathecal injection have several disadvantages, including potential injury to DRG neurons and low transfection efficiency, respectively. This study aimed to develop a spinal nerve injection strategy to deliver polyethylenimine mixed with plasmid (PEI/DNA polyplexes) containing green fluorescent protein (GFP). Using this spinal nerve injection approach, PEI/DNA polyplexes were delivered to DRG neurons without nerve injury. Within one week of the delivery, GFP expression was detected in 82.8% ± 1.70% of DRG neurons, comparable to the levels obtained by intra-DRG injection (81.3% ± 5.1%, p = 0.82) but much higher than those obtained by intrathecal injection. The degree of GFP expression by neurofilament(+) and peripherin(+) DRG neurons was similar. The safety of this approach was documented by the absence of injury marker expression, including activation transcription factor 3 and ionized calcium binding adaptor molecule 1 for neurons and glia, respectively, as well as the absence of behavioral changes. These results demonstrated the efficacy and safety of delivering PEI/DNA polyplexes to DRG neurons via spinal nerve injection.National Science Council of Taiwan (100-2321-B-002-007)National Science Council of Taiwan (100-2320-B-002-083-MY3)Taiwan. Ministry of Science and Technology (104-2300-B-002-019-MY3)National Taiwan University. College of Medicine (Translational Medicine Project)National Taiwan University Hospital (101C101-201
    corecore