1,324 research outputs found

    The Impact of Exchange Rate and Unemployment Rate on the Real Gross Domestic Product Growth Rate in Ghana

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    Unemployment Rate and Exchange Rate are perhaps the two most important challenges that face the Ghanaian economy in recent time. This study seeks to examine the effect of the Exchange Rate and Unemployment Rate on the Real Gross Domestic Product Growth Rate in Ghana. The study used secondary data collected from World Bank, International Labour Organization and International Monetary Fund covering the period 1999–2018. Real Exchange Rate and Unemployment Rate were the independent variables whilst Real Gross Domestic Product Growth Rate was the dependent variable. The findings of the study were arrived at using the quantitative research method. The extent and nature of relationship between the various variables under study were identified using Pearson correlation, regression and hypotheses. The study found out that Unemployment Rate exhibited insignificant negative relationship towards Real Gross Domestic Product Growth Rate, while Real Exchange Rate was positive and also insignificant relationship on Real Gross Domestic Product Growth Rate. Based on the linearity of the multiple linear regression model, the independent variables contribute to 15.0% of the overall LN_GDP. The study then concludes that based on the effect of Exchange Rate and Unemployment Rate on RGDPGR in the findings, Government and other stakeholders should take steps such as creating new local industries and factories, and invest in existing ones to increase domestic produce which will in turn decrease Unemployment Rate and increase Exchange Rate. Keywords: Gross Domestic Product, Unemployment Rate, Exchange Rate, Pearson correlation, Linear Regression. DOI: 10.7176/JESD/10-18-15 Publication date:September 30th 201

    Real-time noise-robust speech detection

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    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.Cataloged from PDF version of thesis.Includes bibliographical references (p. 87-89).As part of the development of an autonomous forklift of the Agile Robotics Lab at MIT's Computer Science and Artificial Intelligence Lab (CSAIL), this thesis explores the effectiveness and application of various noise-robust techniques towards real-time speech detection in real environments. Dynamic noises in the environment (including motor noise, babble noise, and other noises in a warehouse setting) can dramatically alter the speech signal, making speech detection much more difficult. In addition to the noise environments, another issue is the urgent nature of the situation, leading to the production of shouted speech. Given these constraints, the forklift must be highly accurate in detecting speech at all times, since safety is a major concern in our application. This thesis analyzes different speech properties that would be useful in distinguishing speech from noise in various noise environments. We look at various features in an effort to optimize the overall shout detection system. In addition to identifying speech features, this thesis also uses common signal processing techniques to enhance the speech signals in audio waveforms. In addition to the optimal speech features and speech enhancement techniques, we present a shout detection algorithm that is optimized towards the application of the autonomous forklift. We measure the performance of the resulting system by comparing it to other baseline systems and show 38% improvement over a baseline task.by Kevin Y. Luu.M.Eng

    New Way to Produce Dense Double-Antikaonic Dibaryon System, \bar{K}\bar{K} NN, through Lambda(1405)-Doorway Sticking in p+p Collisions

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    A recent successful observation of a dense and deeply bound \bar{K} nuclear system, K^-pp, in the p + p \rightarrow K^+ + K^-pp reaction in a DISTO experiment indicates that the double-\bar{K} dibaryon, K^-K^-pp, which was predicted to be a dense nuclear system, can also be formed in p+p collisions. We find theoretically that the K^- -K^- repulsion plays no significant role in reducing the density and binding energy of K^-K^-pp and that, when two \Lambda(1405) resonances are produced simultaneously in a short-range p+p collision, they act as doorways to copious formation of K^-K^-pp, if and only if K^-K^-pp is a dense object, as predicted.Comment: 8 pages, 9 figures, Accepted Apr. 19, 201

    How Yeast Can Inform Us about Healthy Aging

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    Yeasts are eukaryotes like us, and they have informed us about our cellular and molecular biology for many decades. They are unicellular and live with 6000 genes, carrying out many of the same processes that we do. Like us, yeast exhibit the same processes of aging, with telomere shortening, loss of mitochondrial function, reduced proteostasis, reduced robustness and stress. Some of these attributes are associated with aging and may not be the cause of aging. Therefore, it is important to consider attributes that clearly affect the fitness of cells. We have constructed yeast with a reporter of deleterious protein turnover. It involves the Alzheimer's amyloid beta peptide fused to a green fluorescent protein to aid its visualization in living cells. The use of this reporter enables high throughput assays to find compounds that can improve proteostasis in older cells. Compounds, like simvastatin, improve proteostasis and improve health outcomes inageing. Stress and biochemicals may decrease health and lifespan. Yeast can be used to study aging, drugs and stress, and to search for compounds that improve robustness in cells affected by drugs or stress

    A one-step, one-pot CRISPR nucleic acid detection platform (CRISPR-top): Application for the diagnosis of COVID-19.

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    The existing CRISPR-mediated diagnostic tests require a two-step procedure (DNA or RNA amplification followed by CRISPR-mediated sequence-specific detection) for nucleic acid detection, which increases complexity and the risk of sample cross-contamination. Here, we report a new CRISPR-mediated test, called CRISPR-top (CRISPR-mediated testing in one-pot), which integrates simultaneous target pre-amplification with CRISPR/cas12b-mediated detection into a one-pot reaction mixture, performed at a constant temperature. The novel CRISPR-top assay was applied to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent for COVID-19 (coronavirus disease 2019). COVID-19 CRISPR-top targets the ORF1ab (opening reading frame 1a/b) and NP (nucleoprotein) genes of SARS-CoV-2, and operates at 59 °C for 40 min with minimal instrument. The COVID-19 CRISPR-top assay can return results within 60-min and is easily interpreted by visual fluorescence or lateral flow readouts. The analytical limit of detection (LoD) for COVID-19 CRISPR-top is 10 copies (for each detection target) per reaction with no cross-reactivity observed from non-SARS-CoV-2 templates. Among clinically collected non-COVID-19 samples, the assay's specificity was 100% (80/80 oropharynx swab samples). Among 52 COVID-19 positive clinical samples collected, the COVID-19 CRISPR-top assay yielded 38 (73.1%) positive results using fluorescence readout and 35 (67.3%) positive results with lateral-flow readout. These diagnostic results were similar to those obtained using RT-PCR (34 positive (65.4%)). These data indicate that COVID-19 CRISPR-top is a simple, rapid, accurate and highly sensitive method for SARS-CoV-2 detection which can be used in the clinic, field laboratories and primary care facilities in resource-challenged settings
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