Effect Of Motifs Research Articles

Effects of Motifs and Patterns in Decorated Fabrics on Figure Types

Motifs and patterns are the significant part of every culture from the ancient days. Embroidery, appliqué, tie dye/batik, prints, smocking and shirring display a rich variety of dynamic patterns and motifs in a garment. Fashion designers in Ghana appear not to take the fabric decorations into consideration when selecting and producing garments for their clients/customers. This results in the poor selection and placement of patterns and motifs in the production of garments for the various figure types. This study aimed at examining the effects of selected fabric decorations on the female figure types. The study adopted a qualitative research approach. Purposive sampling technique was used to select the twenty (20) fashion designers in Kumasi Metropolis. Structure interview was used in gather information from the fashion designers. The study discovered that that motifs and pattern decoration have effects on figure types. The effect of fabric decorations (embroidery, appliqué, tie and dye and printing, smocking and shirring) on the female figure types (Apple shape, Straight/rectangular shape, Pear shape and Hourglass shape.) helps end users to know the effects of fabric decorations on their figure type and more or less enables the designers to select and design clothes for a particular figure type in terms of choice of fabric decoration. It was recommended that fashion designers should take figure types into consideration when selecting and producing garments for their clients or end users. Keywords: fabric, fashion designers, Apple shape, Straight/rectangular shape, Pear shape and Hourglass shape DOI : 10.7176/RHSS/9-8-02 Publication date : April 30 th 2019

Computational Analyses of Synergism in Small Molecular Network Motifs

Cellular functions and responses to stimuli are controlled by complex regulatory networks that comprise a large diversity of molecular components and their interactions. However, achieving an intuitive understanding of the dynamical properties and responses to stimuli of these networks is hampered by their large scale and complexity. To address this issue, analyses of regulatory networks often focus on reduced models that depict distinct, reoccurring connectivity patterns referred to as motifs. Previous modeling studies have begun to characterize the dynamics of small motifs, and to describe ways in which variations in parameters affect their responses to stimuli. The present study investigates how variations in pairs of parameters affect responses in a series of ten common network motifs, identifying concurrent variations that act synergistically (or antagonistically) to alter the responses of the motifs to stimuli. Synergism (or antagonism) was quantified using degrees of nonlinear blending and additive synergism. Simulations identified concurrent variations that maximized synergism, and examined the ways in which it was affected by stimulus protocols and the architecture of a motif. Only a subset of architectures exhibited synergism following paired changes in parameters. The approach was then applied to a model describing interlocked feedback loops governing the synthesis of the CREB1 and CREB2 transcription factors. The effects of motifs on synergism for this biologically realistic model were consistent with those for the abstract models of single motifs. These results have implications for the rational design of combination drug therapies with the potential for synergistic interactions.

KRIYA TEKSTIL TIE-DYE (IKAT CELUP): SEBUAH MEDIA EKSPLORASI ESTETIS YANG POPULER

Tie-dye becomes the one of the most popular craft textile, which is known almost all over the world including in Indonesia. Making motif on to the fabric using tie-dye techniques is very easy to be learned, beside there are many kind of simple technics on it. These techniques are very unique and could be developed and explored without limited. The unpredictable effects of motifs sometimes may appear and can be resulted from tie-dye techniques. In this article we will study about tie-dye in many aspect i.e. term of tie-dye, tradition and culture background of tie-dye, mainly showing about tie-dye techniques, and a few tie-dye products. This paper expected give the wide describing and inspiring about tie-dye in craft textile works or tiedye as an expression of fine art.Keywords: tie-dye, resist-dye, textile motif, craft textile, aesthetic exploration

Motif effects in Affymetrix GeneChips seriously affect probe intensities

An Affymetrix GeneChip consists of an array of hundreds of thousands of probes (each a sequence of 25 bases) with the probe values being used to infer the extent to which genes are expressed in the biological material under investigation. In this article, we demonstrate that these probe values are also strongly influenced by their precise base sequence. We use data from >28 000 CEL files relating to 10 different Affymetrix GeneChip platforms and involving nearly 1000 experiments. Our results confirm known effects (those due to the T7-primer and the formation of G-quadruplexes) but reveal other effects. We show that there can be huge variations from one experiment to another, and that there may also be sizeable disparities between batches within an experiment and between CEL files within a batch.

Effects of local structure of neuronal networks on spiking activity in silico

The structure of the neuronal network, including synaptic connectivity, is the basis for information transfer in the network. Various graph-theoretic measures such as degree distribution, mean geodesic path length, clustering coefficient and motif distribution exist for analysing the structure of networks [1], and each of them captures only one perspective of the properties that are crucial regarding the activity in the network. In this work, we vary the local structure of neuronal networks and observe changes in their activity in silico, i.e. in simulations where the activity of single neurons and their interaction is modeled. The local structure is analysed through the occurrence of different motifs, i.e. different patterns of connectivity. The effect of motifs on network dynamics has been widely studied in different types of networks: from the stability point of view in networks with unspecified dynamics [2], in artificial neural networks [3], and from synchronization point of view in spiking neuronal networks [4]. Our work focuses on noise-driven neuronal networks, where the activity can be characterised by spike trains of neurons in the network, and particularly by the bursting behaviour of the network. To study the local structure of networks we consider the occurrences of three separate connectivity patterns: (1) the bidirectional edges, (2) the loops of three nodes, and (3) the feed-forward motifs of triples of nodes. Networks with one of these three local connectivity patterns promoted are generated – we abbreviate these networks (L1), (L2) and (L3). In addition, different distance-dependent networks are generated, including networks with ring topology (RT) and biologically plausible topology, obtained by the NETMORPH [5] simulator (NM). All networks except for NM have binomially distributed in-degree, as is the case with the random networks (RN) that are widely used in neuronal activity simulations. Small illustrations of these network structures are shown in Figure ​Figure1.1. Neuronal activity in these types of networks of size N=100 is simulated using the model presented in [6]. The simulations show a difference in the activity of these networks. Preliminary results indicate, that network bursts occur more frequently in distance dependent networks RT and NM, especially in RT. Accordingly, the overall spiking frequency is high in these networks, but also in L3 networks. Figure 1 Different network structures. Illustration of different networks used in the present work. The red arrows and balls represent characteristics of each network, which are the following: Bidirectional edges in L1, loops of length 3 in L2, feed-forward triples ...

Effect of Motif Designs on Preferences and Image Perception

The purpose of this study was to find out effects of textile motifs and the application methods on wearer's image perception. A survey was conducted to total of 255 male and female university students who are residing in Daejeon and Chungnam province. The stimuli were composed of 2 level tones(dark and light), 3 level complexity(simple, medial and complex), 3 patterns(polka dot, stripe and check) and the 2 way of stimuli application methods(fabric and garment). The instrument for measuring preference of stimuli consisted of 4 items, encouraging, preference, purchasing and popularity. The instrument for measuring image of stimuli consisted 24 pair items. Factor analysis for the adjective pair images(24 inquiries) about the textile patterns which were used in this study was performed. It resulted as three factors which are attraction, salience, and potential. Attraction, salience, and potency dimensions showed the most significant interaction effects of application methods and patterns. And tone and application method effected attraction and salience, tones and patterns effected attraction, tones and complex effected salience. Application methods and patterns effected potential and patterns and complex effected salience. The preferences toward stimuli, it resulted only interaction of tones and patterns affected the preferences('total preference' and 'purchasing'). Pearson's product-moment correlation analysis carried out to find out the relation of images of clothing and preferences. As a result, salience was significant relation with attraction and potency. In correlation between image of textile pattern and preference, attraction is most significant relation with the preference. The results of the study could be used for the marketing strategies of the motif in fashion product.