421 research outputs found

    Green's function molecular dynamics meets discrete dislocation plasticity

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    Metals deform plastically at the asperity level when brought in contact with a counter body even when the nominal contact pressure is small. Modeling the plasticity of solids with rough surfaces is challenging due to the multi-scale nature of surface roughness and the length-scale dependence of plasticity. While discrete-dislocation plasticity (DDP) simulations capture size-dependent plasticity by keeping track of the motion of individual dislocations, only simple two-dimensional surface geometries have so far been studied with DDP. The main computational bottleneck in contact problems modeled by DDP is the calculation of the dislocation image fields. We address this issue by combining two-dimensional DDP with Green's function molecular dynamics. The resulting method allows for an efficient boundary-value-method based treatment of elasticity in the presence of dislocations. We demonstrate that our method captures plasticity quantitatively from single to many dislocations and that it scales more favorably with system size than conventional methods. We also derive the relevant Green's functions for elastic slabs of finite width allowing arbitrary boundary conditions on top and bottom surface to be simulated

    Green's function molecular dynamics: Including finite heights, shear, and body fields

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    The Green's function molecular dynamics (GFMD) method for the simulation of incompressible solids under normal loading is extended in several ways: shear is added to the GFMD continuum formulation and Poisson numbers as well as the heights of the deformed body can now be chosen at will. In addition, we give the full stress tensor inside the deformed body. We validate our generalizations by comparing our analytical and GFMD results to calculations based on the finite-element method (FEM) and full molecular dynamics simulations. For the investigated systems we observe a significant speed-up of GFMD compared to FEM. While calculation and proof of concept were conducted in two-dimensions only, the methodology can be extended to the three-dimensional case in a straightforward fashion

    Optimized Public Auditing and Data Dynamics for Data Storage Security in Cloud Computing

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    AbstractCloud Computing is a promising service platform to access computing resources on demand over the Internet. It moves the data and applications to the large data centres where data and services can be managed in a much better manner than locally. However, its use puts forth a lot of challenging issues related to security, privacy and reliability of the overall system. In this paper, we focus on the problem of data-integrity verification(by a third party auditor) for the client's data residing on a cloud storage server(CSS). Here, we optimize an existing third party auditing protocol and make it resistant to replace, replay and forge attacks launched by malicious insiders at cloud storage server. We also propose a protocol to perform efficient block-level and fine-grained dynamic-data update operations on data stored on cloud using a modified Chameleon Authentication Tree. Extensive security and performance analysis shows that our protocols are efficient and can resist aforementioned attacks

    Radar Bone's Strategy in Implementing Media Convergence in the Editorial Process Online Media

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    This journal discusses the strategy of Radar Bone in implementing media convergence in the editorial process of online media. This research aims to describe Radar Bone's strategy in news coverage, to find out Radar Bone's strategy in today's digital era and to find out the application of media convergence in the online media editorial process.To obtain answers to the three main problems, the author uses field research methods, namely interviews, observations and documentation with a communication science approach and a sociology approach with data presentation carried out descriptively qualitative, which is a research that produces descriptive data (depiction). The subject of this research is Usman Sommeng as Chief Editor and Daily Editor in Charge, the researcher considers that the Chief Editor has the main role regarding policies related to media convergence. Furthermore, the researcher determined Askar Syam and Herman kahar as the Managing Editor and Legal Editor to be the next informant to find out how the strategy is used in today's digital era and the last informant is Adri and Baharuddin as Radar Bone reporters. The research results show that: First, the strategy carried out by Radar Bone in news coverage is through several stages starting from the planning, organizing, moving, and also monitoring stages.Â

    Analytical study on the efficacy of neoadjuvant chemotherapy using a combination of methotrexate, bleomycin, and cisplatin in the management of advanced squamous cell carcinoma of the buccal mucosa

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    Context: Cancers of the buccal mucosa (CaBM) predominate in India with late- stage diagnosis and poor survival, necessitating optimal management. Aim: Our study aimed at testing the efficacy of combination neoadjuvant chemotherapy (NACT) using cisplatin (CIS), bleomycin (BL) and methotrexate (MTX) for reducing tumour volume prior to surgery. Methodology: Patients with advanced CaBM (stage III, IV, n = 100) were administered 6 rounds of NACT with CIS, BL and MTX. Responses, toxicity and 6-month follow-up was monitored statistically to determine persistence of response. Results: A significant number of patients showed objective response as either complete or partial tumour regression with subjective response as reduced trismus, pain, salivation and foul odour. Moreover, there was mild associated toxicity and tumour regression continued in most patients even after 6-month follow-up. Conclusion: Our study indicates that NACT with CIS, BL and MTX offers a good therapeutic alternative in terms of significant objective and subjective responses, low toxicity, affordable costs and persistent responses
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