• International Journal of Industrial Entomology and Biomaterials
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• v.41 no.2
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• pp.56-62
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• 2020

Mulberry (Morus spp. family: Moraceae) has prime importance in the sericulture industry, and its foliage is the only natural feed of the silkworm Bombyx mori L. Traditional classification methods using morphological traits were largely unsuccessful in assessing the diversity and relationships among different mulberry species because of environmental influences on the traits of interest. For these reasons, it is difficult to differentiate between the varieties and cultivars of Morus spp. In the present study, inter-simple sequence repeat (ISSR) markers were used to investigate the genetic diversity of 48 mulberry samples genotyped using nine ISSR primers. The ISSR markers exhibited polymorphisms (53.2%) among mulberry genotypes. Furthermore, similarity coefficient estimated for these ISSR markers was found to vary between 0.67 and 0.99 for the combined pooled data. The phenogram drawn using the UPGMA cluster method based on combined pooled data of the ISSR markers divided the 48 mulberry genotypes into seven major groups. No genetic association was found in the collection area, and there was a mixed pattern between the mulberry lines. The hybridization between different mulberry species is highly likely to be homogenized due to natural hybridization.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.11-21
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• 2022

The perspectives on aging women's financial security during their retirement years are based on their behavior, planning, and decision-making processes during their working years. Elderly women are considered vulnerable and have a longer life expectancy, lower-income, and limited financial understanding compared to males; therefore, drastic steps need to be taken to improve their financial stability and quality of life. The current study sought to determine the most important contributors to retired women's financial health by measuring the value of four factors/variables: capability, opportunity, willingness, and biopsychosocial. This study used a mixed model approach, with qualitative analysis in the first phase involving a focus group discussion session, a pilot analysis, and quantitative analysis for phase two involving the distribution and collection of questionnaires completed by retired women. The surveys were distributed across Malaysia in five distinct zones and yielded 339 usable replies to support the theory. The outcomes of the Multiple Regression Analysis in Malaysia revealed that capability, opportunity, and biopsychosocial factors are significant predictors of retired women's financial security, whereas the willingness indicator lacked statistical significance.

• Particle and aerosol research
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• v.18 no.4
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• pp.109-127
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• 2022

Recently, low-cost particulate matter (PM) sensors have been widely used in monitoring mass concentration. Maintaining the accuracy of the sensors is important and requires rigorous performance evaluation and calibration. In this study, two commercial low-cost PM sensors(LCS), Plantower PMS3003 and Plantower PMS7003, were evaluated in the laboratory and field with a reference-grade PM monitor (GRIMM 11-D). Laboratory evaluation was conducted with single/mixed particles of PSL (Poly Styrene Latex) in an acrylic chamber at 20℃ and relative humidity of 20%. Field evaluation was conducted inside a building of Yonsei University (Shinchon) from February 12 to March 31, 2022. In both evaluations, LCS measured values became different from reference measured values when the relative humidity was high or the outdoor air PM10/PM2.5 ratio was high. Based on the field evaluation, the LCS measured values were corrected through four different regression analysis models. As a result, the multivariate polynomial regression analysis model showed highest matching with the reference PM monitor (PM2.5 >0.9, PM10 >0.85). In this model, the PM10/PM2.5 ratio and relative humidity were chosen as independent variables.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.319-331
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• 2022

The latest global COVID-19 pandemic has made the use of facial masks an important aspect of our lives. People are advised to cover their faces in public spaces to discourage illness from spreading. Using these face masks posed a significant concern about the exactness of the face identification method used to search and unlock telephones at the school/office. Many companies have already built the requisite data in-house to incorporate such a scheme, using face recognition as an authentication. Unfortunately, veiled faces hinder the detection and acknowledgment of these facial identity schemes and seek to invalidate the internal data collection. Biometric systems that use the face as authentication cause problems with detection or recognition (face or persons). In this research, a novel model has been developed to detect and recognize faces and persons for authentication using scale invariant features (SIFT) for the whole segmented face with an efficient local binary texture features (DLBP) in region of eyes in the masked face. The Fuzzy C means is utilized to segment the image. These mixed features are trained significantly in a convolution neural network (CNN) model. The main advantage of this model is that can detect and recognizing faces by assigning weights to the selected features aimed to grant or provoke permissions with high accuracy.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.5
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• pp.273-280
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• 2022

Along with the advancement of deep learning technology, securing high-quality dataset for verification of developed technology is emerging as an important issue, and developing robust deep learning models to the domestic road environment is focused by many research groups. Especially, unlike expressways and automobile-only roads, in the complex city driving environment, various dynamic objects such as motorbikes, electric kickboards, large buses/truck, freight cars, pedestrians, and traffic lights are mixed in city road. In this paper, we built our dataset through multi camera-based processing (collection, refinement, and annotation) including the various objects in the city road and estimated quality and validity of our dataset by using YOLO-based model in object detection. Then, quantitative evaluation of our dataset is performed by comparing with the public dataset and qualitative evaluation of it is performed by comparing with experiment results using open platform. We generated our 2D dataset based on annotation rules of KITTI/COCO dataset, and compared the performance with the public dataset using the evaluation rules of KITTI/COCO dataset. As a result of comparison with public dataset, our dataset shows about 3 to 53% higher performance and thus the effectiveness of our dataset was validated.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.19-26
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• 2024

In recent years, entrepreneurship has become a significant movement in Vietnam. Vietnamese youth has paid more attention on entrepreneurship. Local brand fashion is currently booming in Vietnam. Many young Vietnamese choose to start up in local brand fashion. Vietnamese government has show strong commitment to support entrepreneurial movement among young people. Purpose: The research focused on assessing the determinants of entrepreneurial intentions in local brands fashion in Vietnam. Research design, data and methodology: The sample size consist of 293 young Vietnamese who are passionate on starting up their business in fashion. The research method employ Exploratory Factor Analysis (EFA) and SPSS software is used to analysze the collected data. Data collection involved a mixed-methods approach, combining surveys and case studies. Results: The research findings confirm the determinants of entrepreneurial intentions in local brand fashions are Attitude towards behavior, Subjective norms, Cognitive behavioral control, Entrepreneurship education, and Capital. Conclusion: The study not only delved into the influencing elements for starting a business but also examined the current landscape of the youth-oriented local fashion brand market. Managerial implications are provided to promote entrepreneurial intention among young Vietnamese in fashion industry. Limitations and further research are also discussed to provide recommended research directions for future studies.

• The Journal of Industrial Distribution & Business
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• v.15 no.8
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• pp.13-20
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• 2024

Purpose: The purpose of this study is to analyse the effectiveness of training and development on the performance of employees in Zimbabwe's banks using FBC Bank as a case study. Research design, data and methodology: The study adopted a mixed research method to collect and analyse data from ten key informants and fifty FBC Bank employees drawn from its branches in Harare. The data collection method used were survey and interviews. Results: The study revealed that effective training and development is significant to FBC Bank because it has a positive effect on the performance of employees, which consequently result in improved organisational performance. Conclusion: The study concluded that knowledge on how to conduct effective training and development programs in FBC Bank is not optimum. Recommendations: The study recommended that management should acknowledge that training and development is a systematic process and therefore conduct training needs analysis, design training plans, implement training programs effectively and evaluate them in order to ensure well-coordinated and effective training and development programs. It also suggested that adequate budget allocation should be availed to finance the implementation of training and development programs in organisations.

• Journal of Fashion Business
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• v.16 no.5
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• pp.57-73
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• 2012

The main objective of this research was to understand the characteristics of pleats design through the analysis of modern female fashion as they appear in the 'Collections' from '09 A/W to '12 S/S. Data collection of 1027 was done through the review of 'pr$\hat{e}$t-$\grave{a}$-porter Collections' of three cities; Milan, New York, Paris. Along with the qualitative interpretation of pleats design, statistical analysis of frequency and ${\chi}^2$-test were completed for data analysis. The main findings were as follows; 1. The five types of pleats design were founded in the order of accordion, knife, box, inverted, and sunburst pleats. The frequency and ratio of pleats design occurency showed significant difference between collections. 2. There were significant difference between the types of pleats and their line characteristics of thickness, continuity, length, direction. = Thin fabrics with delicate fine folds were mainly appeared in accordion and sunburst pleats. On the other hand, midium thickness fabrics were used for knife, box & inverted pleats, however, the different images were projected according to the width and the number of folds, characteristics of fabrics and textures. = In all the type of pleats but sunburst, continuity line was appeared the most. The discontinuous lines were appeared the most in the layered types and, sometimes, at some construction lines to add some decorative details or design variations. = The long line were the most frequently appeared in long one-pieces or long skirts of knife, accordion, sunburst pleats. While, the shorter lines showed the most frequently in box and inverted pleats, which mainly used for skirts or the lower part of one-piece. = For the line directions, the vertical lines were the most frequently appeared, and followed by mixed and diagonal line. In mixed or diagonal lines, same type of pleat was repeated in one design. For diagonal lines, one direction was mainly used, however, the symmetrical arrangements or repeated diagonal pleats in various directions also used. In mixed lines, the type of one or two diagonal and one vertical line was the most frequently appeared.

• Asian-Australasian Journal of Animal Sciences
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• v.20 no.11
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• pp.1738-1745
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• 2007

A growth trial and a digestibility trial were conducted to examine the effect of feed particle size on the performance, nutrient digestibility, gastric ulceration and intestinal morphology in pigs fed barley-based diets. Barley was processed through a hammer mill to achieve four diets varying in particle size (average particle $size{\pm}standard $deviation): coarse ($1,100{\pm}2.19\;{\mu}m$), medium ($785{\pm}2.23\;{\mu}m$), fine ($434{\pm}1.70\;{\mu}m$) and mixed (1/3 of coarse, medium and fine) ($789{\pm}2.45\;{\mu}m$). Sixty-four entire male pigs were used in the growth trial and the diets were fed ad libitum between 31 kg and 87 kg live weight. Following slaughter, stomach and ileal tissues were scored for integrity (ulceration or damage) and histological measurements taken. Twenty-four entire male pigs were used in the digestibility trial, which involved total faecal collection. Over the entire growth phase, there were no differences (p>0.05) in average daily gain and feed conversion ratio between pigs fed diets of different particle size. Pigs fed the coarse and medium diets had lower (p<0.05) stomach ulceration scores (0.20 and 0.25, respectively, on a scale from 0 to 3) than those fed the mixed (0.69) or the fine diets (1.87). The stomachs of all animals fed the fine diet had lesions and stomach ulcerations were present only in this group. Pigs fed the fine diet had thicker (p<0.001) ileal epithelial cell layer with no differences (p>0.05) being observed for villous height or crypt depth. Faecal digestibility coefficients of neutral and acid detergent fibre were the highest (p<0.05) for the mixed diet, intermediate for the fine and coarse diets and the lowest for the medium diet. A similar numerical trend (p = 0.103) was observed for the apparent faecal energy digestibility coefficient. It is concluded that, with barley based diets, a variation in average particle size between $400{\mu}m$ and $1,100{\mu}m$ had no effect on pig performance but the fine dietary particle size affected the integrity of the stomach, as well as the structure of the small intestine, thus compromising overall gut health. Our data also demonstrate that changes in particle size distribution during the digestion process, rather than average particle size or particle size variation, are related to apparent faecal digestibility.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.8
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• pp.1149-1156
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• 2001

Previous studies conducted with swine have reported that the mobile nylon bag technique (MNBT) does not always accurately predict in vivo nutrient digestibilities. Therefore, in this study, the MNBT was modified so that nutrient digestibilities would more closely resemble those from conventional (Con) digestibility studies obtained using the indicator method. A total of 19 feeds were tested including five cereal grains, five legumes, three high protein sources and six mixed diets. The principle changes to the MNBT included the use of a fecal collection harness which minimized the number of bags lost. In addition, previous protocols involved pooling of bags within pig while in the present experiment all bags were analyzed separately to increase the precision of the test. Finally, chemical analyses were done using the entire nylon bag plus residue rather than opening.the bags and scraping out the contents. With the exception of the barley sample (p=0.01), dry matter digestibility (DMD) coefficients obtained with the MNBT were not significantly different from those obtained with the indicator method. The linear regression equation relating the MNBT to the indicator method was Con DMD=-O.77+1.02 MNBT DMD ($r^2=0.93$: p<0.0001). There was no significant (p>0.05) difference in gross energy digestibility (GED) coefficients determined using the MNBT or the indicator method for any of the 19 feeds. The regression line equation relating the MNBT to the indicator method was Con GED=-5.68+1.06 MNBT GED ($r^2=0.94$: p<0.0001). The MNBT was less effective in predicting in vivo crude protein digestibility (CPD) than it was in predicting dry matter and energy digestibility. Differences greater than five percentage units were observed for two of the legumes, Kabuli chickpeas (p=0.02) and the extruded pea-canola seed mixture (p=0.01) as well as for three of the mixed diets including the unheated hulled barley-based diet (p=0.01), the unheated hulless-barley based diet (p=0.08) and the barley-soybean meal based diet (p=0.008). The regression equation relating the MNBT to the indicator method was Con CPD=5.75 + 0.90 MNBT CPO ($r^2=0.76$; p<0.0001). This study indicates that the modified MNBT can be used for the rapid determination of dry matter and energy digestibility in a wide variety of ingredients. For the measurement of crude protein digestibility, the technique produces results similar to conventional digestibility studies for cereal grains and high protein feeds but tends to overestimate protein digestibility for legumes and mixed diets.