1,724,400 research outputs found
Gaya Bahasa Aliterasi pada Puisi Pilihan Karya Li Qing
No full textGaya bahasa dan penggunaannya dalam puisi selalu menarik untuk dikaji, selain karena gaya bahasa selalu memiliki makna yang terselubung bagi pembacanya, gaya bahasa yang sama ini pun juga memiliki maksud dan tujuan tertentu yang tergantung dari cara si pemapar puisi tersebut memakainya dalam konteks. Tujuan Penelitian ini adalah untuk mengetahui penggunaan gaya bahasa dan gaya bahasa yang dominan pada puisi terpilih karya Li Qing. Karya Li Qing belum banyak dikaji dalam konteks pemahaman gaya bahasa Bahasa Indonesia sehingga bisa memperkaya kajian gaya bahasa puisi asing dengan pemahaman konteks Indonesia. Penulis menggunakan metode kualitatif deskriptif dalam menganalisis puisi terpilih karya Li Qing. Acuan teori gaya bahasa yang digunakan dalam analisis adalah teori dari Keraf (2004). Setelah menganalisis gaya bahasa dalam puisi tersebut, penulis dapat menyampaikan tentang hasil temuan, diantaranya: terdapat 10 gaya bahasa yang digunakan dalam puisi ini yaitu simile, metafora, hiperbola, personifikasi, aliterasi, repitisi, alerogi, metonimia, apostrof dan satire. Gaya bahasa yang dominan adalah aliterasi
CUHK electronic theses & dissertations collection
No full textLi Qing."July 2004."Thesis (Ph.D.)--Chinese University of Hong Kong, 2004.Includes bibliographical references (p. 161-192).Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.Mode of access: World Wide Web.Abstracts in English and Chinese
Time mesh independent framework for learning materials constitutive relationships
No full textReal-world datasets are rarely populated by evenly distributed entries; unevenness may be caused by sensor malfunctions or randomized sampling due to the process nature. Modeling the constitutive relationship (CR) of materials in scenarios where the temporal data available are uneven is a serious challenge for black box approaches such as artificial neural networks. This work presents a general framework capable of modeling uneven sampled data, which is composed of an Encoder–Decoder (ED) structure. In our framework, the Encoder can process an uneven input sequence, thanks to an approximation of the Ordinary Differential Equations (ODE), and project it into a lower dimensional latent space; the Decoder, on the other hand, can map the compressed information into the output of interest, the material stress response in this work. In the proposed temporal mesh independent framework, the Encoder is a multi-layer structure, with each layer consisting of a Long-Short Term Memory (LSTM) layer, a Closed form Continuous Time (CfC) layer, and a Self Multi-Head Attention Layer (MHAL) layer connected in series. The Decoder can be one Fully Connected Network (FCN) or two FCNs in parallel; in the latter case, the Decoder is capable of giving the mean and the variance of the output. The presented mesh-independent framework demonstrates good accuracy despite both the unevenness and the noise of the training data, specially when its results are compared to the standard ones; thus extending the applicability of neural-network-based black box models in real world applications
Web Engineering - 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013. Proceedings
No full textComputational Design for Scaffold Tissue Engineering
No full textStructure of tissue scaffold plays a critical role in guiding and supporting cell proliferation and differentiation. One widely accepted way to create a desirable biomechanical environment is to have it match the mechanical and biological properties of native host tissue. However, conventional design process typically involves laborious trial and error, and it is sometimes very difficult to achieve the desired biomimeticity when multiple criteria are involved. This chapter aims to present a systematic methodology for the design of tissue scaffold structures, in which the stiffness and diffusivity criteria are taken into account to address various biomechanical requirements in tissue engineering. The scaffolds with periodic microstructures are considered herein, which can be fabricated using 3D printing or additive manufacturing technologies. In this design process, the finite element (FE)-based homogenisation technique is employed to characterise effective material properties, and topology optimisation is carried out using the inverse homogenisation technique, in which (1) bulk modulus, (2) diffusivity and (3) their combination are formulated as the design objectives. To assess the optimised design, we simulate and examine the bone tissue regeneration inside the scaffolds under certain biomechanical conditions in two different models, specifically Wolff’s remodelling and the mechanobiology rules. The tissue regeneration results demonstrate how different design criteria lead to different outcomes, signifying the importance of scaffold design and the proposed methodology
Component-Based, Client-Oriented Web Engineering: Issues, Advancements and Opportunities
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Implant Surface Modifications and Osseointegration
No full textOsseointegration and osteogenic differentiation are important determinants of clinical outcomes involving implants in orthopaedics and dentistry. Implant surface microstructure and hydrophilicity are known to influence these properties. Recent research has focused on several modifications of surface topography and chemistry aimed at improving bone formation to achieve faster and better healing. Topographically modified titanium implant surfaces, like the sandblasted, large-grit, acid-etched (SLA) surface and chemically modified hydrophilic SLA (modSLA) surface, have shown promising results when compared with smooth/polished titanium surfaces. Although most studies consider an average roughness (Ra) of 1–1.5 μm to be favourable for bone formation, there is no consensus regarding the appropriate roughness and chemical modifications necessary to achieve optimal osseointegration. Studies on microstructurally modified surfaces have revealed intricate details pertaining to the molecular interactions of osteogenic cells with implant surfaces. The in vivo and in vitro findings from these studies highlight the ability of modified titanium surfaces to support the establishment of a native osteogenic niche for promoting bone formation on the implant surfaces. Improved osteogenic properties of modified surfaces are evidenced in vitro by the differential regulation of the molecular transcriptome on such surfaces. Recent studies indicate that post-transcriptional modulators like microRNAs also play an important role in osteogenic regulation on implant surfaces. In this chapter, we discuss the current concepts and considerations in orthopaedic and dental implant research and the new knowledge in the field, which will assist in the development of novel approaches and designs of future implant devices.No Full Tex
Bioactive scaffolds with multifunctional properties for hard tissue regenerations
No full textThe impact of bone/dental diseases and trauma in the whole world has increased significantly in the past decades. It is of great importance to develop bioactive scaffolds with multifunctional properties, such as osteogenesis, angiogenesis, cementogenesis, drug delivery and antibacterial property for hard tissue regeneration. Conventional bioactive scaffolds cannot efficiently combine these functions. A new class of bioactive glass, referred to as mesoporous bioactive glass (MBG), was developed several years ago, which possesses highly ordered mesoporous channel structure and high-specific surface area. Due to their special nanostructure, MBG scaffolds show multifunctional potential for hard tissue regeneration application. In this chapter, we review the recent research advances of multifunctional MBG scaffolds, including the preparation of different forms of MBG scaffolds, osteogenesis, angiogenesis, cementogenesis, drug delivery and antibacterial property. The future perspective of MBG scaffolds was further discussed for hard tissue regeneration application by harnessing their special multifunction
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