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    5153 research outputs found

    Closed Loop Deep Brain Stimulation for Parkinson’s disease with Frequency Modulation

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    Neural oscillations within the Basal Ganglia (BG) circuitry are associated with Parkinson’s Disease (PD) and are observable through the Local Field Potential (LFP) of the Subthalamic Nucleus (STN) or Globus Pallidus externa (GPe) neurons. LFP amplitude modulation in a delayed feedback protocol for Deep Brain Stimulation (DBS) is shown to destabilize the complex intermittent synchronous states. However, traditional High Frequency Stimulations (HFS) often intensify the synchronization of highly fluctuating neurons, are less efficient in activating all neurons in large scale networks and consume more battery of the DBS device. Here, we investigate the partially synchronous dynamics of a STN-GPe coupling network to examine the effect of frequency adjustment in the stimulation signal. The frequency of the stimulation signal is adjusted according to the nonlinear delayed feedback LFP of the STN population. Frequency adjustment protocol with a fixed stimulation amplitude is shown to increase the desynchronization efficiency and neuronal activation by 25% and 16.2%, respectively, while reducing the energy consumption by 31.5% compared to amplitude modulation methods for stimulation of large networks (1000 neurons)

    Digital Passport on Blockchain

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    Blockchain is a decentralised, publicly accessible network which is highly secured. The network reconciles every transaction that happens for every 10 minutes of interval. Each group of transaction is called a block. The blockchain is used in various sectors like -- healthcare, cross-border payments, real estate and banking. The poster summarises the utilisation of blockchain distributed ledger technology in digital passports. Besides, it emphasis on how the digital passport saves cost and time when compared to the current passport system for both the government and public

    A Robust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation

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    Disassembly sequence planning (DSP) is a nondeterministic polynomial time (NP) complete problem, making the utilization of metaheuristic approaches a viable alternative. DSP aims at creating efficient algorithms for deriving the optimum or near-optimum disassembly sequence for a given product or a product family. The problem-specific nature of such algorithms, however, requires these solutions to be validated, proving their versatility in accommodating substantial variations in the problem environment. To achieve this goal, this paper utilizes Taguchi’s orthogonal arrays to test the robustness of a previously-proposed Simulated Annealing (SA) algorithm. A comparison with an exhaustive search is also conducted to verify the efficiency of the algorithm in generating an optimum or near-optimum disassembly sequence for a given product. In order to further improve the solution, a distributed task allocation technique is also introduced into the model environment to accommodate multiple robot arms.http://dx.doi.org/10.3390/robotics801002

    Effect of Framing - A Cognitive Bias

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    Traditional or Classical Finance suggests that people make decisions considering various factors depending on context in which he is taking the decision, Is he taking decision based on intuition or having sound knowledge, does he have any other options to consider etc. These types of factors influence any decision makers behavior. The question I framed is based on following behavioral concepts: 1)Framing 2)Choice Overload. Framing states that investors do not behave as predicted and the behavior of any investor depends on the frame of reference or context in which decision is made. Behavioral finance impacts rational decision making of an investor. "Choice overload" also known as "Over choices". It is the phenomenon of choice overload and occurs as a result of too many choices being available to decision makers. Choice overload may refer to either choice attributes or alternatives

    A Noise Immune Technique to Suppress the Temporal Noise for Wide Dynamic Range CMOS Sensors

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    A CMOS image sensor architecture is presented that uses an extra level of parallelism and thermal and 1/f noise suppression techniques to achieve both low-light detection and a high frame rate. By adding the row-parallel readout ADCs, the conversion speed is improved by more than twice compared to the conventional top-bottom parallel ADC structure. The thermal and 1/f noise is reduced by combining the intrinsic oversampling of the incremental sigma-delta ADCs and the 1/f noise suppression through the source-follower inversion-to accumulation method. The chip contains 164 pads, including 24 LVDS drivers. Rows and columns follow the same readout paths. The pixels are surrounded by the pixel-bias circuits and by the switches for cycling the source follower of the pixels from inversion to accumulation for low-frequency noise reduction. The ADC is the key building block of the designed imager

    The Accuracy of Employee Performance Evaluation Across Global Cultural Dimensions & Moderating Effects of Rater Personality Traits

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    The effectiveness of a performance management strategy is impacted by a variety of factors, examined through many different research studies: -the accuracy and reliability of the tools used, such as forms and rating scales -the process and the context in which the evaluations are conducted -the accuracy and reliability of the raters/evaluators, typically supervisors. The proposed study will examine two elements and their impact on the accuracy of employee performance ratings: -The global cultural dimensions of the rater’s country of origin -The personality traits of the individual rater

    Economic Freedom and Prosperity

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    Adam Smith’s well-known book, An Inquiry into the Nature and Causes of the Wealth of Nations, shows that free markets, the protection of private property rights and a minimal government interference in the economy lead to prosperity. The development economics literature has expansive evidence that economic freedom and sound legal, financial and political institutions boost economic growth. The basic ideas of Adam Smith has let economists to take an interest in economic and political institutions. Recent empirical work has analyzed country-level data on the gross domestic product (GDP). Another line of empirical research focuses on the link between economic freedom and economic growth. This study investigates the association between the economic freedom, economic growth, and prosperity

    2019 Undergraduate Commencement Ceremony, May 18, 2019.

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    This booklet for the Undergraduate Commencement Ceremony does not carry a numerical designation. It took place at Marina Park at 9 A.M. Saturday May 18, 2019. The commencement speaker was the Honorable Jahana Hayes '14 U.S. Representative of the 5th Congressional District in Connecticut. Ms. Hayes graduated with an education degree and was named as Connecticut Teacher of the Year and in 2016 was named National Teacher of the Year and was the first African-American woman to represent Connecticut in Congress. She received a Certificate of Advanced Studies in educational leadership from the University

    Design Optimization of Flywheel Energy Storage System Rotor for Wind Power Smoothing

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    This project studied flywheel rotor design for high speed flywheel energy storage systems. A two-dimensional plane stress finite element model was developed to predict radial and hoop stress distributions in a flywheel rotor under high centrifugal loads. The FEA model was used to study the effects of multi-ring configuration and hub design on the distribution of radial and hoop stress distributions. It was found that a multi-ring design with gradual increase of stiffness in the radial direction can reduce the radial tensile stress and thus reduces the risk of delamination. A flexible hub design was found to reduce hoop and radial stresses in the shaft and radial stress in reduction of radial stress in the rotor

    Bridging Medical Simulation with Computer Science and Engineering: A Growing Field of Study

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    Objectives: The aim of this study was to determine if having on-site technological expertise will allow for the facile navigation of high fidelity manikins within nursing programs as well as to assess if the level of understanding and interest among engineering students would increase as a result of attending a class related to the technology used in healthcare simulation. Methods: Two assessments were applied to engineering students attending a class of technology used in healthcare simulation. A pre-test was designed to measure the understanding and interest of students in the engineering/computer science courses before attending a simulation class. A post-test assessment was used to measure their improvement in understanding and interest to learn more about simulation technologies. Participants: Engineering students attending 6 different engineering programs (Computer Science, Computer Engineering, Mechanical Engineering, Biomedical Engineering, Electrical Engineering and Technology Management) and having different educational levels (undergraduate and graduate)

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