2,169 research outputs found

    Ready-to-use post-Newtonian gravitational waveforms for binary black holes with non-precessing spins: An update

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    For black-hole binaries whose spins are (anti-) aligned with respect to the orbital angular momentum of the binary, we compute the frequency domain phasing coefficients including the quadratic-in-spin terms up to the third post-Newtonian (3PN) order, the cubic-in-spin terms at the leading order, 3.5PN, and the spin-orbit effects up to the 4PN order. In addition, we obtain the 2PN spin contributions to the amplitude of the frequency-domain gravitational waveforms for non-precessing binaries, using recently derived expressions for the time-domain polarization amplitudes of binaries with generic spins, complete at that accuracy level. These two results are updates to Arun et al. (2009) [1] for amplitude and Wade et al. (2013) [2] for phasing. They should be useful to construct banks of templates that model accurately non-precessing inspiraling binaries, for parameter estimation studies, and or constructing analytical template families that accounts for the inspiral-merger-ringdown phases of the binary.Comment: 8 pages, an additional file (readable in MATHEMATICA) containing all the key results included in the sourc

    Shifting Trade Patterns as a Means to Reduce Global CO2 Emissions: Implications for the Aluminium Industry

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    This paper investigates how changes in the international division of labor can contribute to reducing CO2 emissions. The mitigation potential and costs implied by this mechanism are analyzed. Implications for the aluminium sector are assessed, including changes in the price of aluminium when global carbon emissions are constrained and the constraints are progressively tightened. The analysis makes use of the World Trade Model with Bilateral Trade (WTMBT), a linear program based on comparative advantage with any number of goods, factors, and regional trade partners. Minimizing factor use, WTMBT determines regional production, bilateral trade patterns, and region-specific prices. The model is extended for this study through the application of multi-objective optimization techniques and is used to explore efficient trade-offs between reducing CO2 emissions and increasing global factor costs. This application demonstrates how the WTMBT, with its global scope and regional and sectoral production detail, can be used to build bridges between global objectives and concerns about a specific industry in specific regions. This capability can extend the reach of more traditional studies in industrial ecology.

    Learners’ Perceptions and Preferences in Distance Learning in the New Normal Era

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    The COVID-19 pandemic has forced many school shutdowns and pushed millions of learners out of the classroom, resulting in shifts in teaching-learning modalities. The study uses a descriptive quantitative design to explore learners’ preferences and perceptions of distance education. Through a convenient sampling technique, senior high school students were surveyed about their preferred study habits and learning practices and their feelings and insights toward distance education. The study found that low access to the internet and gadgets has been a great cause of worry for them. Despite the physical distance, students like to interact and maintain communication with teachers and peers and receive feedback about their work. However, learners are ambivalent about the conduct of regular synchronous classes. The majority also believe that distance learning is more difficult than the pre-pandemic setup. It is suggested that relevant educational stakeholders find ways to help students who struggled during this sudden shift in education

    Rural Poverty in Southeast Asia: Issues, Policies, and Challenges

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    Economic growth among Southeast Asian countries during the last 25 years has averaged at five percent per year and has been accompanied by a decline in the relative importance of agriculture in the national output and employment. The response of poverty to this growth and structural transformation has been equally remarkable, with the headcount ratio in 2002 registering a more than 50 percent drop from the 1990 figure. Although impressive, Southeast Asia's overall record in growth and poverty reduction has not been uniform, as evident in the experiences of countries like Indonesia, Philippines and East Timor, as well as the transition economies, namely, Cambodia, Lao PDR, Myanmar and Vietnam. In these countries, liberalizing agricultural trade, combined with public investment in productivity-enhancing support services, would advance the interests of the poor. To contribute in the efforts to strengthen the continuing war on poverty especially in these transition economies, the paper highlights the lessons learned in poverty reduction so as to identify more clearly the policy options for achieving the Millennium Development Goals in the region. One powerful lesson that has emerged in tackling poverty and food insecurity concerns the use of policy, investment and institutional reforms to enable the rural poor to partake of the windfall from efficient domestic markets and the improved access to technology, infrastructure and education. The success stories would show that the main push to these efficiency-enhancing reforms has come, not from globalization nor agricultural policy but from the internal realization that the country and its citizens were the major beneficiaries of the reform. Another important challenge facing countries in the region is to find the appropriate mix of policies and institutions that would maximize the enormous benefits from globalization while protecting against its risks and pitfalls. Lastly, given that the investment requirements for poverty reduction are beyond the resources of low-income countries, the paper identifies the critical role of the development assistance community.rural poverty, Southeast Asia,

    Evaluation of Practice Teachers’ Views on Inclusive Education

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    This study examined the views of practice teachers toward the inclusion of students with special education needs in the regular classroom. A total of 32 practice teachers from University of the East, College of Education, participated in the research. Mixed-Method was utilized which comprised of participants answering a questionnaire and participating in a focus group discussion. The questionnaire, My Thinking about Inclusion Scale, MTAI, (Stoiber et al., 1998) was utilized for the quantitative part of the research; while, a focus group discussion was conducted for the qualitative part which sought to uncover the perceptions of practice teachers concerning their background and training on inclusive education. Only six of the 32 practice teachers were able to join the focus group discussion. The results revealed that there is no significant difference in the practice teachers’ views on inclusive education between males and females and their degree programs. Findings also showed that practice teachers held similar positive views on inclusion. The responses of the participants in the focus group discussion unveiled that the practice teachers believed they have adequate theoretical knowledge about inclusive education; however, they still require further in-depth training and hands-on involvement and participation in conducting inclusive practices inside classrooms to effectively apply them in the future as they become licensed teachers. They also saw the importance of the support of the government and the cooperation of schools as well as parents and guardians for the successful espousal of inclusive education

    Higher-order spin effects in the amplitude and phase of gravitational waveforms emitted by inspiraling compact binaries: Ready-to-use gravitational waveforms

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    We provide ready-to-use time-domain gravitational waveforms for spinning compact binaries with precession effects through 1.5PN order in amplitude and compute their mode decomposition using spin-weighted -2 spherical harmonics. In the presence of precession, the gravitational-wave modes (l,m) contain harmonics originating from combinations of the orbital frequency and precession frequencies. We find that the gravitational radiation from binary systems with large mass asymmetry and large inclination angle can be distributed among several modes. For example, during the last stages of inspiral, for some maximally spinning configurations, the amplitude of the (2,0) and (2,1) modes can be comparable to the amplitude of the (2,2) mode. If the mass ratio is not too extreme, the l=3 and l=4 modes are generally one or two orders of magnitude smaller than the l = 2 modes. Restricting ourselves to spinning, non-precessing compact binaries, we apply the stationary-phase approximation and derive the frequency-domain gravitational waveforms including spin-orbit and spin(1)- spin(2) effects through 1.5PN and 2PN order respectively in amplitude, and 2.5PN order in phase. Since spin effects in the amplitude through 2PN order affect only the first and second harmonics of the orbital phase, they do not extend the mass reach of gravitational-wave detectors. However, they can interfere with other harmonics and lower or raise the signal-to-noise ratio depending on the spin orientation. These ready-to-use waveforms could be employed in the data-analysis of the spinning, inspiraling binaries as well as in comparison studies at the interface between analytical and numerical relativity.Comment: 43 pages, 10 Postscript figures. submitted to Physical Review D. Includes corrections due to errat

    Customer Relationship Management : Integrated Marketing Strategy And Information Technology

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    Automatic Seizure Detection in Rats Using Laplacian EEG and Verification with Human Seizure Signals

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    Automated detection of seizures is still a challenging problem. This study presents an approach to detect seizure segments in Laplacian electroencephalography (tEEG) recorded from rats using the tripolar concentric ring electrode (TCRE) configuration. Three features, namely, median absolute deviation, approximate entropy, and maximum singular value were calculated and used as inputs into two different classifiers: support vector machines and adaptive boosting. The relative performance of the extracted features on TCRE tEEG was examined. Results are obtained with an overall accuracy between 84.81 and 96.51%. In addition to using TCRE tEEG data, the seizure detection algorithm was also applied to the recorded EEG signals from Andrzejak et al. database to show the efficiency of the proposed method for seizure detection

    Hvor store Sukkerroer bør man avle her i Landet?

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    Hvor store Sukkerroer bør man avle her i Landet
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