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Transnational NGOs between Popular Uprising and Authoritarian Regime: Developments in Egypt
Scholars differentiate the concepts of internationalism and transnationalism. While the first refers to the connectivity between macro institutions such as states, multinational corporations and other institutionalized actors within and beyond national boundaries, the second term emphasizes public movements, organizations and communities engaged in de-territorialized socio‐cultural, political and economic activities. This paper focuses on the role of transnational NGOs (TNGOs) in recent developments in Egypt. The current scholarly debate on the so‐called “Arab spring” considers the mobilization of disempowered youth, intense media-tech application and sustained international pressure as crucial to ousting authoritarian regimes in North Africa. Delineating the role of TNGOs complements such findings. TNGO activities and responses to the Egyptian uprising in 2011 and to the ensuing coup in 2013 reveal the capability of such organizations to balance civic transformational oriented mobilizations with state centred institutional considerations. Furthermore though TNGOs cannot directly change the current political stalemate in Egypt, the power elite might misinterpret the changing and sometimes contradictory positions of these organizations and might eventually encourage the return to authoritarianism. After introductory remarks on the background of the uprising, the paper proceeds to theoretical discussion of transnational engagement followed by recent historical and current empirical developments
Relative commutants of strongly self-absorbing C*-algebras
The relative commutant of a strongly self-absorbing
algebra is indistinguishable from its ultrapower . This
applies both to the case when is the hyperfinite II factor and to the
case when it is a strongly self-absorbing C*-algebra. In the latter case we
prove analogous results for and reduced powers
corresponding to other filters on . Examples of algebras with
approximately inner flip and approximately inner half-flip are provided,
showing the optimality of our results. We also prove that strongly
self-absorbing algebras are smoothly classifiable, unlike the algebras with
approximately inner half-flip.Comment: Some minor correction
Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems
Energy efficiency (EE) is a critical design when taking into account
circuit power consumption (CPC) in fifth-generation cellular networks. These
problems arise because of the increasing number of antennas in massive
multiple-input multiple-output (MIMO) systems, attributable to inter-cell
interference for channel state information. Apart from that, a higher number
of radio frequency (RF) chains at the base station and active users consume
more power due to the processing activities in digital-to-analogue converters
and power amplifiers. Therefore, antenna selection, user selection, optimal
transmission power, and pilot reuse power are important aspects in improving
energy efficiency in massive MIMO systems. This work aims to investigate
joint antenna selection, optimal transmit power and joint user selection based
on deriving the closed-form of the maximal EE, with complete knowledge
of large-scale fading with maximum ratio transmission. It also accounts for
channel estimation and eliminating pilot contamination as antennasM→∞.
This formulates the optimization problem of joint optimal antenna selection,
transmits power allocation and joint user selection to mitigate inter-cellinterference
in downlink multi-cell massiveMIMO systems under minimized
reuse of pilot sequences based on a novel iterative low-complexity algorithm
(LCA) for Newton’s methods and Lagrange multipliers. To analyze the precise
power consumption, a novel power consumption scheme is proposed for
each individual antenna, based on the transmit power amplifier and CPC.
Simulation results demonstrate that the maximal EE was achieved using the
iterative LCA based on reasonable maximum transmit power, in the case the
noise power is less than the received power pilot. The maximum EE was
achieved with the desired maximum transmit power threshold by minimizing pilot reuse, in the case the transmit power allocation ρd = 40 dBm, and the
optimal EE=71.232 Mb/j
Pembelajaran Matematika Materi Geometri di SD Al Hikmah Surabaya
Permasalahan penelitian ini adalah bagaimana proses pembelajaran matematika pada materi geometri agar mudah dipahami, disenangi, dan tidak membuat siswa merasa bosan dengan materi tersebut hingga dapat mengantarkan siswa pada prestasi akademik di taraf nasional maupun Internasional. Tujuan penelitian ini untuk mendeskripsikan perencanaan, pelaksanaan, evaluasi, dan hambatan dalam pembelajaran matematika materi geometri. Metode penelitian menggunakan deskriptif kualitatif. Teknik pengumpulan data dengan wawancara semiterstrukutu, observasi nonpartisipasi, dan studi dokumentasi. Yang menjadi subjek penelitian adalah dosen ahli materi geometri, kepala sekolah, guru matematika kelas 5, dan siswa kelas 5. Hasil penelitian menunjukkan bahwa perencanaan, pelaksanaan, dan evaluasi pembelajaran matematika materi gemoteri kelas 5 berjalan dengan baik, runtut, menyenangkan dan tidak terdapat hambatan yang berarti bagi guru maupun siswa
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