9,807 research outputs found

    How Integrative Intervention Alleviates Insomnia-Related Stresses: A Qualitative Study

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    Networking in Rural Environments: Benefits, Feasibilities and Requirements

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    Abstract—Building networks in rural areas is difficult because of the tough rural environments and low return to the service operators on investment. Rural networking and their applications in education, health, community development, and business development are essential to the daily life for both inhabitants and visitors. They further bring opportunities in job and business which play a key role in developing most underdeveloped rural areas. Moreover, rural communication will grow with the initial investment in rural networking. It will become the major communication market and generate large profits to service operators and equipment manufacturers. Wireless networking is generally considered a solution to these difficulties in rural conditions. Compared with the wireline construction, setting up wireless networks is faster, more flexible, and less expensive. In addition, many new and advanced wireless technologies have enabled universal communication to rural and remote areas in a profitable manner. Yet special technological requirements need to be met for wireless networking to become feasible in rural areas. Index Terms — Rural areas, communication system planning

    Heisenberg-picture approach to the exact quantum motion of a time-dependent forced harmonic oscillator

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    In the Heisenberg picture, the generalized invariant and exact quantum motions are found for a time-dependent forced harmonic oscillator. We find the eigenstate and the coherent state of the invariant and show that the dispersions of these quantum states do not depend on the external force. Our formalism is applied to several interesting cases.Comment: 15 pages, two eps files, to appear in Phys. Rev. A 53 (6) (1996

    Mechanochemical Synthesis of Active Magnetite Nanoparticles Supported on Charcoal for Facile Synthesis of Alkynyl Selenides by C−H Activation

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    Magnetite (Fe3O4) nanoparticles supported on charcoal, graphene, or SBA‐15 were prepared by a simple solid‐state grinding technique and subsequent thermal treatment. The Fe3O4 nanoparticles supported on activated charcoal exhibited high catalytic activity and furnished good yields of the alkynyl selenide product in the cross‐coupling reaction of diphenyl diselenide and alkynes through activation of C−H and Se−Se bonds under ecofriendly conditions, surpassing traditional copper‐based catalysts to effect the same organic transformation.Alkynes of fun: Fe3O4 nanoparticles separately supported on charcoal, graphene, and SBA‐15 are prepared by solid‐state grinding and subsequent thermal treatment. The Fe3O4 nanoparticles supported on activated charcoal exhibit high catalytic activity and furnish good yields of alkynyl selenide products in the cross‐coupling reactions of diphenyl diselenide with alkynes through C−H and Se−Se bond activation under ecofriendly conditions.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137502/1/cctc201600280-sup-0001-misc_information.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137502/2/cctc201600280_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137502/3/cctc201600280.pd

    Finding the Median (Obliviously) with Bounded Space

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    We prove that any oblivious algorithm using space SS to find the median of a list of nn integers from {1,...,2n}\{1,...,2n\} requires time Ω(nlog⁥log⁥Sn)\Omega(n \log\log_S n). This bound also applies to the problem of determining whether the median is odd or even. It is nearly optimal since Chan, following Munro and Raman, has shown that there is a (randomized) selection algorithm using only ss registers, each of which can store an input value or O(log⁥n)O(\log n)-bit counter, that makes only O(log⁥log⁥sn)O(\log\log_s n) passes over the input. The bound also implies a size lower bound for read-once branching programs computing the low order bit of the median and implies the analog of P≠NP∩coNPP \ne NP \cap coNP for length o(nlog⁥log⁥n)o(n \log\log n) oblivious branching programs
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