Energy-Efficient selective activation in Femtocell Networks

Provisioning the capacity of wireless networks is difficult when peak load is significantly higher than average load, for example, in public spaces like airports or train stations. Service providers can use femtocells and small cells to increase local capacity, but deploying enough femtocells to serve peak loads requires a large number of femtocells that will remain idle most of the time, which wastes a significant amount of power. To reduce the energy consumption of over-provisioned femtocell networks, we formulate a femtocell selective activation problem, which we formalize as an integer nonlinear optimization problem. Then we introduce GREENFEMTO, a distributed femtocell selective activation algorithm that deactivates idle femtocells to save power and activates them on-the-fly as the number of users increases. We prove that GREENFEMTO converges to a locally Pareto optimal solution and demonstrate its performance using extensive simulations of an LTE wireless system. Overall, we find that GREENFEMTO requires up to 55% fewer femtocells to serve a given user load, relative to an existing femtocell power-saving procedure, and comes within 15% of a globally optimal solution

Challenges of Social Education of Catalonia to Romania

AbstractThis paper seeks to explain the importance of social education and its main challenges in Catalonia and Romania. Is divided into two sections, one which underpins the importance of social education and second part where are explained and detailed the seven challenges priority for us. A social education is the educational response to the emerging challenges of society as well as copes with persistent problems throughout time. Know provide educational response to the most vulnerable people and know how to accompany these persons, and promote the best of them, and strengthen positive transformations in their lives and in their environments

Sense and sensitivity of double beta decay experiments

The search for neutrinoless double beta decay is a very active field in which the number of proposals for next-generation experiments has proliferated. In this paper we attempt to address both the sense and the sensitivity of such proposals. Sensitivity comes first, by means of proposing a simple and unambiguous statistical recipe to derive the sensitivity to a putative Majorana neutrino mass, m_bb. In order to make sense of how the different experimental approaches compare, we apply this recipe to a selection of proposals, comparing the resulting sensitivities. We also propose a "physics-motivated range" (PMR) of the nuclear matrix elements as a unifying criterium between the different nuclear models. The expected performance of the proposals is parametrized in terms of only four numbers: energy resolution, background rate (per unit time, isotope mass and energy), detection efficiency, and bb isotope mass. For each proposal, both a reference and an optimistic scenario for the experimental performance are studied. In the reference scenario we find that all the proposals will be able to partially explore the degenerate spectrum, without fully covering it, although four of them (KamLAND-Zen, CUORE, NEXT and EXO) will approach the 50 meV boundary. In the optimistic scenario, we find that CUORE and the xenon-based proposals (KamLAND-Zen, EXO and NEXT) will explore a significant fraction of the inverse hierarchy, with NEXT covering it almost fully. For the long term future, we argue that Xe-based experiments may provide the best case for a 1-ton scale experiment, given the potentially very low backgrounds achievable and the expected scalability to large isotope masses.Comment: 30 pages, 12 figures, 6 table

Shared and Unique Competencies in Interprofessional Behavioral Health: Implications for Counselor Education

Behavioral health reform in the U.S. recommends interprofessional education and practice grounded in clinical training in competencies relevant to practice. In tandem, counselor education requires training to learn roles and responsibilities as members of interdisciplinary teams. This pilot explored participants’ (N=19) understanding of professional identities and competencies among clinical mental health counseling (CMHC), marriage & family therapy (MFT), psychiatric mental health nursing (PMHNP) and social work (MSW) students in an interprofessional education (IPE) program. Participants identified unique profiles of each of the four behavioral health disciplines that align with professions’ histories and theoretical orientations as well as a common profile of overlapping skills and knowledge domains across disciplines. The common domains such as assessment, individual intervention, evidence-based practice, and strong oral communication skills, align with overlapping accreditation competencies. Greater common profiling was seen for CMHC, MFT, & MSW versus PMHNP. Our findings indicate implications for counselor education and supervision, and directions for future research

Shared and Unique Competencies in Interprofessional Behavioral Health: Implications for Counselor Education

Behavioral health reform in the U.S. recommends interprofessional education and practice grounded in clinical training in competencies relevant to practice. In tandem, counselor education requires training to learn roles and responsibilities as members of interdisciplinary teams. This pilot explored participants’ (N=19) understanding of professional identities and competencies among clinical mental health counseling (CMHC), marriage & family therapy (MFT), psychiatric mental health nursing (PMHNP) and social work (MSW) students in an interprofessional education (IPE) program. Participants identified unique profiles of each of the four behavioral health disciplines that align with professions’ histories and theoretical orientations as well as a common profile of overlapping skills and knowledge domains across disciplines. The common domains such as assessment, individual intervention, evidence-based practice, and strong oral communication skills, align with overlapping accreditation competencies. Greater common profiling was seen for CMHC, MFT, & MSW versus PMHNP. Our findings indicate implications for counselor education and supervision, and directions for future research

Adaptation dynamics of the quasispecies model

We study the adaptation dynamics of an initially maladapted population evolving via the elementary processes of mutation and selection. The evolution occurs on rugged fitness landscapes which are defined on the multi-dimensional genotypic space and have many local peaks separated by low fitness valleys. We mainly focus on the Eigen's model that describes the deterministic dynamics of an infinite number of self-replicating molecules. In the stationary state, for small mutation rates such a population forms a {\it quasispecies} which consists of the fittest genotype and its closely related mutants. The quasispecies dynamics on rugged fitness landscape follow a punctuated (or step-like) pattern in which a population jumps from a low fitness peak to a higher one, stays there for a considerable time before shifting the peak again and eventually reaches the global maximum of the fitness landscape. We calculate exactly several properties of this dynamical process within a simplified version of the quasispecies model.Comment: Proceedings of Statphys conference at IIT Guwahati, to be published in Praman

Estimasi Value At Risk (VaR) pada Portofolio Saham dengan Copula

Investasi merupakan salah satu cara yang banyakdilakukan orang untuk mencapai keuntungan di masa mendatang. Saham sebagaisalah satu financial asset menjadisalah satu alternatif banyak orang untuk melakukan investasi. Return yang diperoleh dalam berinvestasisaham lebih tinggi dibandingkan berinvestasi pada perbankan, maka resiko yangditanggung apabila seseorang berinvestasi saham juga lebih tinggi. Penelitianini menggunakan metode Copula untuk mengestimasi Value at Risk (VaR) pada returnsaham Indofood Sukses Makmur (INDF), Telekomunikasi Indonesia (TLKM), GudangGaram (GGRM), Bank Rakyat Indonesia (BBRI), dan Astra International (ASII) padaperiode 1 September 2005 hingga 30 November 2010. Penelitian ini menggunakanpemodelan ARMA-GARCH untuk mendapatkan residual GARCH (1,1) yang selanjutnyadigunakan untuk pemodelan copula dan estimasi VaR. Penelitian ini menunjukkan bahwa pemodelan copula claytonsebagai model copula terbaik mampu menangkap heavy tail lebih baik berdasarkan VaR yang dihasilkan