910 research outputs found

    Waveform Design for 5G and Beyond

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    5G is envisioned to improve major key performance indicators (KPIs), such as peak data rate, spectral efficiency, power consumption, complexity, connection density, latency, and mobility. This chapter aims to provide a complete picture of the ongoing 5G waveform discussions and overviews the major candidates. It provides a brief description of the waveform and reveals the 5G use cases and waveform design requirements. The chapter presents the main features of cyclic prefix-orthogonal frequency-division multiplexing (CP-OFDM) that is deployed in 4G LTE systems. CP-OFDM is the baseline of the 5G waveform discussions since the performance of a new waveform is usually compared with it. The chapter examines the essential characteristics of the major waveform candidates along with the related advantages and disadvantages. It summarizes and compares the key features of different waveforms.Comment: 22 pages, 21 figures, 2 tables; accepted version (The URL for the final version: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch2

    Effect of Organizational Justice and Job Satisfaction on Organizational Effectiveness with the moderating role of Strategic Commitment

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    In this era of highly competitive business environment every organization strives to be successful, and for that an organization pays great emphasis on organizational justice and job satisfaction of its employees in order to be effective and successful. This study investigates the impacts of organizational justice and Job Satisfaction on organizational effectiveness with moderating variable of strategic commitment. The organizational justice is subdivided into three types: Distributive Justice, Procedural justice, Interactional justice while job satisfaction is also divided into three dimensions as well: Working Condition, Job security and Autonomy. This study is an effort to contribute in the body of knowledge and helpful for organizations to improve their effectiveness. The data for this study is collected from Telecommunication sector of Pakistan via questionnaire

    Glucose transporter 4 gene expression in peripheral blood leukocytes in type 2 diabetes mellitus

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    The purpose of this study was to examine the status of glucose transporter type-4 (GLUT4) gene expression in the peripheral blood leukocytes of type 2 diabetic patients and explore the correlation of GLUT4 expression with homeostasis model assessment-insulin resistance with a view to validate GLUT4 as a relatively less invasive alternate marker for insulin resistance. A total of 48 subjects were recruited. Among them, 23 subjects were diabetic and 25 were age, sex and body mass index-matched non-diabetic healthy control subjects. Insulin resistance, beta cell function and insulin sensitivity were assessed from the fasting blood samples. The mRNA levels of GLUT4 gene in the peripheral blood leukocytes were quantified by reverse transcriptase PCR. There was no significant alteration of GLUT4 gene status between type 2 diabetes mellitus and control. The GLUT4 gene expression showed a negative trend in the relationship with fasting glucose, HbA1c, insulin and insulin resistance in diabetic patients. In conclusion, the GLUT4 gene expression in the peripheral blood leukocytes cannot be used as a marker of insulin resistance

    Topp-Leone Weibull-Lomax distribution: Properties, Regression Model and Applications

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    In this paper, a new four parameter lifetime distribution called the Topp Leone Weibull-Lomax distribution is introduced. Some mathematical properties of the new distribution are studied including the quantile function, ordinary and incomplete moments, probability weighted moment, conditional moments, order statistics, stocastic ordering and stress strength reliability parameter. The regression model and the residual analysis for the new model are also investigated. The model parameters are estimated by using the maximum likelihood criterion and the behavior of these estimates are examined by conducting a simulation study. We prove empirically the importance and flexibility of the new distribution in modeling four data sets

    Glucose transporter 4 gene expression in peripheral blood leukocytes in type 2 diabetes mellitus

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    The purpose of this study was to examine the status of glucose transporter type-4 (GLUT4) gene expression in the peripheral blood leukocytes of type 2 diabetic patients and explore the correlation of GLUT4 expression with homeostasis model assessment-insulin resistance with a view to validate GLUT4 as a relatively less invasive alternate marker for insulin resistance. A total of 48 subjects were recruited. Among them, 23 subjects were diabetic and 25 were age, sex and body mass index-matched non-diabetic healthy control subjects. Insulin resistance, beta cell function and insulin sensitivity were assessed from the fasting blood samples. The mRNA levels of GLUT4 gene in the peripheral blood leukocytes were quantified by reverse transcriptase PCR. There was no significant alteration of GLUT4 gene status between type 2 diabetes mellitus and control. The GLUT4 gene expression showed a negative trend in the relationship with fasting glucose, HbA1c, insulin and insulin resistance in diabetic patients. In conclusion, the GLUT4 gene expression in the peripheral blood leukocytes cannot be used as a marker of insulin resistance

    Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems

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    Digital repeat photography has become a widely used tool for assessing the annual course of vegetation phenology of different ecosystems. By using the green chromatic coordinate (GCC) as a greenness measure, we examined the feasibility of digital repeat photography for assessing the vegetation phenology in two contrasting high-latitude ecosystems. Ecosystem-atmosphere CO2 fluxes and various meteorological variables were continuously measured at both sites. While the seasonal changes in GCC were more obvious for the ecosystem that is dominated by annual plants (open wetland), clear seasonal patterns were also observed for the evergreen ecosystem (coniferous forest). Daily and seasonal time periods with sufficient solar radiation were determined based on images of a grey reference plate. The variability in cloudiness had only a minor effect on GCC, and GCC did not depend on the sun angle and direction either. The daily GCC of wetland correlated well with the daily photosynthetic capacity estimated from the CO2 flux measurements. At the forest site, the correlation was high in 2015 but there were discernible deviations during the course of the summer of 2014. The year-to-year differences were most likely generated by meteorological conditions, with higher temperatures coinciding with higher GCCs. In addition to depicting the seasonal course of ecosystem functioning, GCC was shown to respond to environmental changes on a timescale of days. Overall, monitoring of phenological variations with digital images provides a powerful tool for linking gross primary production and phenology.Peer reviewe
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