3,371 research outputs found

    Integrable deformations of the Bogoyavlenskij-Itoh Lotka-Volterra systems

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    We construct a family of integrable deformations of the Bogoyavlenskij-Itoh systems and construct a Lax operator with spectral parameter for it. Our approach is based on the construction of a family of compatible Poisson structures for the undeformed system, whose Casimirs are shown to yield a generating function for the integrals in involution of the deformed systems. We show how these deformations are related to the Veselov-Shabat systems.Comment: 23 pages, 14 reference

    Grand Canonical Adaptive Resolution Simulation for Molecules with Electrons: A Theoretical Framework based on Physical Consistency

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    A theoretical scheme for the treatment of an open molecular system with electrons and nuclei is proposed. The idea is based on the Grand Canonical description of a quantum region embedded in a classical reservoir of molecules. Electronic properties of the quantum region are calculated at constant electronic chemical potential equal to that of the corresponding (large) bulk system treated at full quantum level. Instead, the exchange of molecules between the quantum region and the classical environment occurs at the chemical potential of the macroscopic thermodynamic conditions. T he Grand Canonical Adaptive Resolution Scheme is proposed for the treatment of the classical environment; such an approach can treat the exchange of molecules according to first principles of statistical mechanics and thermodynamic. The overall scheme is build on the basis of physical consistency, with the corresponding definition of numerical criteria of control of the approximations implied by the coupling. Given the wide range of expertise required, this work has the intention of providing guiding principles for the construction of a well founded computational protocol for actual multiscale simulations from the electronic to the mesoscopic scale.Comment: Computer Physics Communications (2017), in pres

    Peran Praktisi Dalam Pengembangan Teori Dan Proses Pembelajaran Untuk Sekolah Bisnis

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    The decreasing number of intakes and quality of the students, and crisis identityhave jeopardise the survival of business schools. There must be a breakthrough toovercome these hard situation. One of the solution is theories-in-use approach, whichis needed to develop the appropriate theory. The writer also suggests to recruit practitionersas the faculty members. This will encourage original theories developmentwhich is appropriate for third world countries like Indonesia. The other solutionis to send the existing lecturers to join the consulting and encourage them to havethe knowledge of practice world. By doing these, hopefully better condition will beachieved

    Pendugaan Model Permintaan Ubi Kayu di Indonesia

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    Cassava (Manihot esculenta Crantz) is important commodity of Indonesia not only as forth producer after Nigeria, Thailand, and Brazil but also as source of carbohydrate. This research will use time series data among 1999-2009. The increasing of cassava production along 1971-2009 reaching 22,03 million tons. And also the projection until 2010 increase until 25,54 million tons. By this increasing, it is expected can open fissure of production and marketing in Indonesia better than before. Simultaneously test of variable contained the coming of cassava stock, another demand, cassava export, cassava consumption, and the demand of cassava last year has significant effect toward cassava demand

    Early methodist experience: some prototypical accounts

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    A great many 20th century studies of 18th century Methodism concern John Wesley himself, and even those which promise to tell you about early Methodist beliefs and activities often turn out to be largely based on Wesley’s alone. Few have concerned themselves with the humble folk who followed him. Yet it is impossible properly to understand even why Wesley himself believed and behaved in the way he did without taking account of the minds and desires of his disciples

    Education in inpatient children and young people’s mental health services

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    <p>As a chronic disease, osteoarthritis (OA) leads to the degradation of both cartilage and subchondral bone, its development being mediated by proinflammatory cytokines like interleukin-1β. In the present study, the anti-inflammatory effect of specnuezhenide (SPN) in OA and its underlying mechanism were studied in vitro and in vivo. The results showed that SPN decreases the expression of cartilage matrix-degrading enzymes and the activation of NF-κB and wnt/β-catenin signaling, and increases chondrocyte-specific gene expression in IL-1β-induced inflammation in chondrocytes. Furthermore, SPN treatment prevents the degeneration of both cartilage and subchondral bone in a rat model of OA. To the best of our knowledge, this study is the first to report that SPN decreases interleukin-1β-induced inflammation in rat chondrocytes by inhibiting the activation of the NF-κB and wnt/β-catenin pathways, and, thus, has therapeutic potential in the treatment of OA.</p

    A knowledge based modelling system for the design and evaluation of flexible manufacturing facilities

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    The objective of this thesis is to explore the application of artificial intelligence (AI) techniques for modelling in flexible manufacturing. The work consists of three main parts. In the first part, the structure and performance of various types of flexibly automated batch manufacturing systems are discussed, the modelling challenge for the design of these types of manufacturing systems is identified, and the currently available modelling techniques are examined and comparatively assessed. In the second part, the research into the structure and design of a knowledge based modelling system is reported. Potential advantages of AI techniques for manufacturing systems modelling are identified. The modelling system is then developed using the LOOPS knowledge engineering language on the Xerox 1186 AI Workstation. Major features of the modelling system include its knowledge driven requirement to enab,l e evaluation of alternative systems with different criteria, the capability of modelling over multiple levels of detail, the transparency of its solution procedure, and the modularity of the system structure to allow convenient modification and extension. The third part is concerned with the evaluation of the AI based modelling method .. Parallel experiments are conducted on an extended case study cell by using the knowledge based modelling system, the emulator and the tool flow modelling system. Merits of the AI based method are then critically assessed, drawn on the comparison of the results obtained from the three studies. Conclusions drawn from this research and directions for future work are finally indicated

    Checking identifiability of covariance parameters in linear mixed effects models

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    <p>To build a linear mixed effects model, one needs to specify the random effects and often the associated parametrized covariance matrix structure. Inappropriate specification of the structures can result in the covariance parameters of the model not identifiable. Non-identifiability can result in extraordinary wide confidence intervals, and unreliable parameter inference. Sometimes software produces implication of model non-identifiability, but not always. In the simulation of fitting non-identifiable models we tried, about half of the times the software output did not look abnormal. We derive necessary and sufficient conditions of covariance parameters identifiability which does not require any prior model fitting. The results are easy to implement and are applicable to commonly used covariance matrix structures.</p

    data 2.0

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    the fecal sample from different groups (no treatment, 10 mg/kg enrofloxacin SC q12h for 5 days, 10 mg/kg enrofloxacin PO q12h for 5 days) on diferent days (day 0, day6 and day14)of the chinchillas.</p
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