FUNCTIONS OF ARCHETYPE AS A VALUE DETERMINANT OF ACTIVITY: SOCIO-PHILOSOPHICAL ANALYSIS

The article investigates the issue of determination of activity as a social phenomenon in the context of the archetypal-value approach and proposes a methodology for analyzing social phenomena based on it. In particular, the principles of traditional praxeological and innovative archetypal-value approaches to activity are compared and common and distinctive features in their methodology are singled out. It is believed that the archetypal-value approach is relevant for the analysis of socio-cultural activities, because it takes into account three projections in which it is carried out: personal as subjective, transpersonal as objective and interpersonal as intersubjective. From the position of socio-philosophical analysis, the generalization of the procedural characteristics of activity as its conceptual foundations is carried out. The analysis of the level and quality of the influence of archetypes on the activity is made on the basis of interpretation of archetypes in their connection with the concepts of “value”, “image” (sample), “pattern” (label), “symbol” (sign). The functional deterministic influence of archetypes and values presented in them on orientation and coordination, stereotyping and standardization, integration and systematization as indispensable components of any kind of activity is characterized.

Country of manufacture in garment marketability by Japanese and Chinese experts

Purpose The authors compared garments made in Poland, Japan and China to investigate the effect of country of manufacture (COM) on garment marketability by Japanese and Chinese experts. The purpose of this paper is to investigate the differences between the Japanese and Chinese experts. Design/methodology/approach The authors compared ten jackets and ten skirts manufactured by four factories in Poland, Japan and China and one Japanese sample maker using five different textiles. The authors provided the same specifications and sample pattern to each of the garment makers. The garment’s marketability was evaluated by 16 Japanese and 18 Chinese experts using a questionnaire survey, considering garment shape, silhouette, face fabric, sub-materials, anticipated appeal to consumers, sewing and ironing skills, and estimated selling price. Findings There were high correlations between the Japanese experts’ estimated selling price and evaluation scores in relation to shape, silhouette and face fabric. There were high correlations between the Chinese experts’ estimated selling price and evaluation scores in relation to all items except for face fabric and buttons. However, there were no significant differences between manufacturing countries. Therefore, the garment quality was not dependent on COM because the manufacturing skills of all selected factories were adequate. Originality/value This study experimentally investigated the effect of COM on garment marketability by evaluating garments manufactured in Japan, China and Poland using the same pattern and specification sheet. Moreover, these results show differences between the Japanese and Chinese experts for the COM effect.

Batch Effect Correction of RNA-seq Data through Sample Distance Matrix Adjustment

Batch effect is a frequent challenge in deep sequencing data analysis that can lead to misleading conclusions. We present scBatch, a numerical algorithm that conducts batch effect correction on the count matrix of RNA sequencing (RNA-seq) data. Different from traditional methods, scBatch starts with establishing an ideal correction of the sample distance matrix that effectively reflect the underlying biological subgroups, without considering the actual correction of the raw count matrix itself. It then seeks an optimal linear transformation of the count matrix to approximate the established sample pattern. The benefit of such an approach is the final result is not restricted by assumptions on the mechanism of the batch effect. As a result, the method yields good clustering and gene differential expression (DE) results. We compared the new method, scBatch, with leading batch effect removal methods ComBat and mnnCorrect on simulated data, real bulk RNA-seq data, and real single-cell RNA-seq data. The comparisons demonstrated that scBatch achieved better sample clustering and DE gene detection results.

Multiscreen Patterns – Interactions Across the Borders of Devices

Design patterns are solutions for common design problems used in a number of fields including architecture, software development and user experience design. We compiled a pattern library for the usage of gesture-enabled interactions between different devices with screens, the so called multiscreen context. This library provides simple and intuitive gestures for connecting and disconnecting devices wirelessly as well as gestures for the exchange of data between these devices, like swiping a document from one’s tablet to the tablets of the surrounding colleagues in the same room. The library is the result of a 2.5 years running project in cooperation with three small and medium companies. We compiled the library by conducting an intense literature survey in parallel with several iterations of practical software projects in the multiscreen context. The literature survey inspired the practice-oriented project work. Being involved in software projects enabled us to identify challenges in the design and implementation of the gesture set. Therefore, we generated valuable insight for a comprehensive description of gestural interactions. With our set of patterns, we aim to support interaction designers to choose the appropriate gesture for their given context. The patterns serve as inspiration by showing the different possibilities but also provide guidance how to design and implement a selected gesture for a given context. They help designing the details of an interaction by breaking it down into its smallest parts. To support the developers of these interactions our pattern descriptions are enriched with an Android library containing lifecycle events and the necessary gesture recognition logic. This paper provides an overview of the pattern library. In addition, the structure and the usage of the library is described in more detail with the means of one sample pattern. The pattern library is openly accessible.

Image Segmentation of Cattle Muzzle Using Region Merging Statistical Technic

Making an identification system that able to assist in obtaining, recording and organizing information is the first step in developing any kind of recording system. Nowadays, many recording systems were developed with artificial markers although it has been proved that it has many limitations. Biometrics use of animals provides a solution to these restrictions. On a cattle, biometric features contained in the cattle muzzle that can be used as a pattern recognition sample. Pattern recognition methods can be used for the development of cattle identification system utilizing biometric found on the cattle muzzle using digital image processing techniques. In this study, we proposed cattle muzzle identification method using segmentation Statistical Region Merging (SRM). This method aims to identify specific patterns found on the cattle muzzle by separating the object pattern (foreground) from unnecessary information (background) This method is able to identified individual cattle based on the pattern of it muzzle. Based on our evaluation, this method can provide good performance results. This method good performance can be seen from the precision and recall : 87% and the value of ROC : 0.976. Hopefully this research can be used to help identify cattle accurately on the recording process.

Fabrication of Multiple Al Micro-Materials by Electromigration Using a Comb Pattern and a Conductive Passivation Film

Electromigration (EM) is the phenomenon of atomic diffusion in a metallic film with a high-density electron flow. Our group used EM to fabricate Al micro-materials. The EM technique can be used to fabricate micro-materials with a high aspect ratio, pure metal components, an arbitrary form, and a single-crystal structure. Recently, two micro-materials have been simultaneously fabricated using an array pattern consisting of parallel or series connections. However, multiple micro-materials have not been fabricated simultaneously thus far. In this study, a new comb sample pattern was used with a conductive passivation film to produce multiple Al micro-materials.

Performance of Color-Harmony Models in Predicting Visual Color Harmony for Color-Apparel Images

Color harmony has been systematically investigated since 1956 at Budapest using specific pattern samples with the exception of textile specimens. And, so far, there are two known color harmony models proposed by Ou et al. (abbreviated as the Ou) and Szabó et al. (as the Szabó) separately. According to the experimental results proposed by Kuo, the color harmony would be influenced by the types of sample pattern. Therefore, the performance of those two models in predicting visual color harmony for samples of fashion apparel is discussed in this study using 162 color images of fashion apparel containing 141 and 21 ones in which the fashion apparels are with two-color and three-color combinations respectively. The results indicates that the model Ou has better performance in predicting visual color harmony by the correlation coefficients 0.50 and 0.65 for the fashion apparel images with two-color and three-color combinations respectively than the Szabó 0.48 and 0.50. Meanwhile, this finding may imply that a more accurate color-harmony estimating model still needs to be developed for the fashion apparels with multiple-color combinations and it is one of the most important works of the authors in the near future.

Fuzzy C-Means Clustering Model Data Mining For Recognizing Stock Data Sampling Pattern

Capital market has been beneficial to companies and investor. For investors, the capital market provides two economical advantages, namely deviden and capital gain, and a non-economical one that is a voting .} hare in Shareholders General Meeting. But, it can also penalize the share owners. In order to prevent them from the risk, the investors should predict the prospect of their companies. As a consequence of having an abstract commodity, the share quality will be determined by the validity of their company profile information. Any information of stock value fluctuation from Jakarta Stock Exchange can be a useful consideration and a good measurement for data analysis. In the context of preventing the shareholders from the risk, this research focuses on stock data sample category or stock data sample pattern by using Fuzzy c-Me, MS Clustering Model which providing any useful information jar the investors. lite research analyses stock data such as Individual Index, Volume and Amount on Property and Real Estate Emitter Group at Jakarta Stock Exchange from January 1 till December 31 of 204. 'he mining process follows Cross Industry Standard Process model for Data Mining (CRISP,. DM) in the form of circle with these steps: Business Understanding, Data Understanding, Data Preparation, Modelling, Evaluation and Deployment. At this modelling process, the Fuzzy c-Means Clustering Model will be applied. Data Mining Fuzzy c-Means Clustering Model can analyze stock data in a big database with many complex variables especially for finding the data sample pattern, and then building Fuzzy Inference System for stimulating inputs to be outputs that based on Fuzzy Logic by recognising the pattern.Keywords: Data Mining, AUz..:y c-Means Clustering Model, Pattern Recognition