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#32746460   // To Up

New Sampson Low-Density Lipoprotein Equation: Better Than Friedewald and Martin-Hopkins.


Christopher D Koch, Joe M El-Khoury

1514 related Products with: New Sampson Low-Density Lipoprotein Equation: Better Than Friedewald and Martin-Hopkins.

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#32746440   2020/08/03 To Up

Formation of one-dimensional arrays of nanoparticles using segmented polyurethane nanofibers prepared by electrospinning.

The number density and the arrangement of metal nanoparticles in composite materials have a significant effect on their performance and hence their suitability for use in sensors and devices. Forming one-dimensional arrays of metal nanoparticles is one way of controlling their number density and arrangement in the devices. In this study, we fabricated one-dimensional arrays of gold nanoparticles by adsorbing them on linearly distributed hard segments present on the surfaces of segmented polyurethane nanofibers, which were produced by electrospinning under a stretching force. The length of the one-dimensional array was approximately 500 nm. Futher-more, the interparticle distance was almost constant at approximately 14 nm. Thus, the proposed method is suitable for fabricationg one-dimensional arrays of metal nanoparticles with high precision.
Taichi Meboso, Mayu Horie, Hiroaki Sakamoto, Eiichiro Takamura, Shin-Ichiro Suye

2935 related Products with: Formation of one-dimensional arrays of nanoparticles using segmented polyurethane nanofibers prepared by electrospinning.

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#32746384   2020/07/30 To Up

How the Mechanical Properties and Thickness of Glass Affect TPaD Performance.

One well-known class of surface haptic devices that we have called TPaDs (Tactile Pattern Displays) uses ultrasonic transverse vibrations of a touch surface to modulate fingertip friction. This paper addresses the power consumption of glass TPaDs, which is an important consideration in the context of mobile touchscreens. In particular, based on existing ultrasonic friction reduction models, we consider how the mechanical properties (density and Young's modulus) and thickness of commonly-used glass formulations affect TPaD performance, namely the relation between its friction reduction ability and its real power consumption. Experiments performed with eight types of TPaDs and an electromechanical model for the fingertip-TPaD system indicate: 1) TPaD performance decreases as glass thickness increases; 2) TPaD performance increases as the Young's modulus and density of glass decrease; 3) real power consumption of a TPaD decreases as the contact force increases. Proper applications of these results can lead to significant increases in TPaD performance.
Heng Xu, Michael A Peshkin, Edward Colgate

2226 related Products with: How the Mechanical Properties and Thickness of Glass Affect TPaD Performance.

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#32746354   2020/07/13 To Up

An On-chip Processor for Chronic Neurological Disorders Assistance using Negative Affectivity Classification.

Chronic neurological disorders (CND's) are lifelong diseases and can't be eradicated, but their severe effects can be alleviated by early preemptive measures. CND's, such as Alzheimer, Autism Spectrum Disorder (ASD), and Amyotrophic Lateral Sclerosis (ALS), are the chronic ailment of the central nervous system that causes the degradation of emotional and cognitive abilities. Long term continuous monitoring with neuro-feedback of human emotions for patients with CND's is crucial in mitigating its harmful effect. This paper presents a hardware efficient and dedicated human emotion classification processor for CND's. Scalp EEG is used for the emotion's classification using the valence and arousal scales. A linear support vector machine classifier is used with power spectral density, logarithmic interhemispheric power spectral ratio and the interhemispheric power spectral difference of eight EEG channel locations suitable for a wearable non-invasive classification system. A look-up-table based logarithmic division unit (LDU) is to represent the division features in machine learning (ML) applications. The implemented LDU minimizes the cost of integer division by 34% for ML applications. The implemented emotion's classification processor achieved an accuracy of 72.96% and 73.14%, respectively, for the valence and arousal classification on multiple publicly available datasets. The 2x3mm2 processor is fabricated using a 0.18μm 1P6M CMOS process with power and energy utilization of 2.04mW and 16μJ/classification, respectively, for 8-channel operation.
Abdul Rehman Aslam, Muhammad Awais Bin Altaf

2329 related Products with: An On-chip Processor for Chronic Neurological Disorders Assistance using Negative Affectivity Classification.

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#32746318   2020/07/08 To Up

Iterative Filtering Decomposition based Early Dementia Diagnosis using EEG with Cognitive Tests.

There has been a constant increase in life expectancy with the advancement of modern medicine. Likewise, dementia has also increased and projected to elevate in the coming decades with the higher expenditure on healthcare. Consequently, it is essential to identify early dementia, e.g., a patient suffering from mild cognitive impairment who is highly vulnerable to developing dementia soon.
Neelam Sharma, Maheshkumar H Kolekar, Kamlesh Jha

2804 related Products with: Iterative Filtering Decomposition based Early Dementia Diagnosis using EEG with Cognitive Tests.

500 tests96 tests50 TESTS100 Tests / 500 100 TESTS20 ul25 Tests1000 tests25 Tests200 TESTS100tests1 kit

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#32746269   2020/06/23 To Up

Implicit Frictional Boundary Handling for SPH.

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Jan Bender, Tassilo Kugelstadt, Marcel Weiler, Dan Koschier

1411 related Products with: Implicit Frictional Boundary Handling for SPH.

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#32746267   2020/06/23 To Up

Tilt Map: Interactive Transitions Between Choropleth Map, Prism Map and Bar Chart in Immersive Environments.

We introduce Tilt Map, a novel interaction technique for intuitively transitioning between 2D and 3D map visualisations in immersive environments. Our focus is visualising data associated with areal features on maps, for example, population density by state. Tilt Map transitions from 2D choropleth maps to 3D prism maps to 2D bar charts to overcome the limitations of each. Our paper includes two user studies. The first study compares subjects' task performance interpreting population density data using 2D choropleth maps and 3D prism maps in virtual reality (VR). We observed greater task accuracy with prism maps, but faster response times with choropleth maps. The complementarity of these views inspired our hybrid Tilt Map design. Our second study compares Tilt Map to: a side-by-side arrangement of the various views; and interactive toggling between views. The results indicate benefits for Tilt Map in user preference; and accuracy (versus side-by-side) and time (versus toggle).
Yalong Yang, Tim Dwyer, Kimbal Marriott, Bernhard Jenny, Sarah Goodwin

2430 related Products with: Tilt Map: Interactive Transitions Between Choropleth Map, Prism Map and Bar Chart in Immersive Environments.

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#32746253   2020/05/19 To Up

Spanning Trees as Approximation of Data Structures.

The connections in a graph generate a structure that is independent of a coordinate system. This visual metaphor allows creating a more flexible representation of data than a two-dimensional scatterplot. In this work, we present STAD (Simplified Topological Abstraction of Data), a parameter-free dimensionality reduction method that projects high-dimensional data into a graph. STAD generates an abstract representation of high-dimensional data by giving each data point a location in a graph which preserves the approximate distances in the original high-dimensional space. The STAD graph is built upon the Minimum Spanning Tree (MST) to which new edges are added until the correlation between the distances from the graph and the original dataset is maximized. Additionally, STAD supports the inclusion of additional functions to focus the exploration and allow the analysis of data from new perspectives, emphasizing traits in data which otherwise would remain hidden. We demonstrate the effectiveness of our method by applying it to two real-world datasets: traffic density in Barcelona and temporal measurements of air quality in Castile and León in Spain.
Daniel Alcaide, Jan Aerts

1380 related Products with: Spanning Trees as Approximation of Data Structures.

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#32746205   2020/07/06 To Up

Ultrasound super-resolution flow measurement of suspensions in narrow channels.

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Christian Kupsch, Lukas Feierabend, Richard Nauber, Lars Buttner, Jurgen Czarske

1497 related Products with: Ultrasound super-resolution flow measurement of suspensions in narrow channels.

100 ml.100ug Lyophilized100ug Lyophilized96 tests16 Arrays/Slide100ug Lyophilized25 ml.100ug Lyophilized16 Arrays/Slide

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#32746202   2020/07/03 To Up

Material Design Strategy for Enhancement of Readback Signal Intensity in Ferroelectric Probe Data Storage.

Ferroelectric probe data storage (FPDS) based on scanning nonlinear dielectric microscopy is expected as a next-generation data storage method with its large potential for improvement of the recording density. However, this novel method has a problem of low reading speed. To overcome this problem, a novel ferroelectric recording medium with large nonlinear permittivity is required because this data storage method uses the nonlinear dielectric response induced by small-amplitude ac bias to detect the bit data recorded in the form of polarization direction. Therefore, this paper discusses nonlinear permittivity enhancement from the viewpoint of data storage application in the framework of phenomenological theory. We reveal that Curie-point control is one of the key techniques in material design for FPDS because nonlinear permittivity increases precipitously as the Curie temperature is approached, as with the linear permittivity and piezoelectric constants. A similar conclusion is also obtained through actual measurements of nonlinear permittivity in LiTaO3 single crystals. On the other hand, we also reveal that there is a tradeoff relationship between nonlinear permittivity and polarization stability. To avoid this undesirable situation in data storage application, pinning-site control will also be important. We also propose to employ a double-layer structure in the ferroelectric recording media for further improvement.
Yoshiomi Hiranaga, Yasuo Cho

2865 related Products with: Material Design Strategy for Enhancement of Readback Signal Intensity in Ferroelectric Probe Data Storage.

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