Alternative subirrigation way, capillary wick system (CWS) was tested to reduce labor cost, waste water, contamination of ground water, and use of fungicide compared to overhead irrigation system (OIS). CWS helped reduce remarkably the working hours for watering from 4 hours in OSI to just 5 minutes. Labor cost was saved 98% in CWS compared to OIS. By the physical characteristics of various growing media, 1 coconut coir+2 perlite (v/v) mixture was selected because it had an ideal distribution of three phase, e.g. 1 solid: 1 liquid: 2 gas phase. Medium mixture containing scoria had so high bulk and particle density to hurt root. In bark-containing medium, the liquid phase and the percent saturation of liquid phase with time elapsed was lower than that of other mixture. It meant that the mixture contained very low level of water. Application of CWS for cyclamen pot production played an important role in reducing the incident of fusarium wilt symptom from 18% in conventional over watering system to 4%. Cyclamen pot irrigated by capillary wick had shorter petiole and more leaves than those by overhead watering. As a result, this system was highly beneficial to get uniform pot products with high quality. It improved water and nutrient solution efficiency relative to conventional overhead irrigation system (OIS).
In this paper, we study rings with Noetherian spectrum, rings with locally Noetherian spectrum and rings with t-locally Noetherian spectrum in terms of the polynomial ring, the Serre's conjecture ring, the Nagata ring and the t-Nagata ring. In fact, we show that a commutative ring R with identity has Noetherian spectrum if and only if the Serre's conjecture ring R[X]U has Noetherian spectrum, if and only if the Nagata ring R[X]N has Noetherian spectrum. We also prove that an integral domain D has locally Noetherian spectrum if and only if the Nagata ring D[X]N has locally Noetherian spectrum. Finally, we show that an integral domain D has t-locally Noetherian spectrum if and only if the polynomial ring D[X] has t-locally Noetherian spectrum, if and only if the t-Nagata ring $D[X]_{N_v}$ has (t-)locally Noetherian spectrum.
The purpose of this study was, accordingly, to examine male college student's general body consciousness and their actual condition of wearing clothing, as it's assumed that clothing, which everyone must always wear, might be effective in making up for the physical defect. The findings of this study were as follows : 1. Male College Students'Body Consciousness : They expressed some dissatisfaction with their own body, and they were most discontented with their height, among their bodies. They thought of the western-style shape as an ideal one, as what's considered by them to be ideal was thinner a little than them, being taller with wider shoulder, longer legs, smaller and white face. 2. Male College Students'Characteristics of Clothing Purchasing Behavior : In purchasing clothing, male college students were slightly sensitive about the physical part with which they wasn't satisfied. The clothing pattern preferred by them was an abstract one, and their favorite color was white or black. The greatest number of them put most emphasis on design in buying clothing, and they purchased clothing mainly at special fashion shop. On the whole, they showed an affirmative response toward wearing Korean costume, and they also had a positive opinion about the purchase of reformed Korean dress for everyday life. 3. Male College Students'Characteristics of Wearing Clothing : They appeared not to consider making up for physical weakness. Male college students favored aloha shirt and trousers when they went out. Male college students purchase clothing in consideration of individual, manly, classical, tender, or comfortable factors. 4. Relationship of Body Consciousness to Wearing Behavior : The degree to which they considered covering up physical weakness in wearing clothing was examined, by dividing them into two groups : one was a group that thought their own shape normal, and the other was a group that didn't think of their own shape as normal. As a result, both groups appeared not to consider covering up physical weakness.
Structural failures are undesirable events that devastate the construction industry resulting in loss of life, injury, huge property loss, and also affect the economy of the region. Roof truss failures occur mainly due to excessive loading, improper fabrication, deterioration, inadequate repair, etc. Although very rare, a roof truss may even fail due to inappropriate location of supports. One such case was reported from the recent failure of a steel roof truss used in an indoor stadium at Kargil in India. Kargil region, being mountainous in nature, receives heavy snowfall and hence the steel roof trusses are designed for heavy snow loads. Due to inappropriate support location, the indoor stadium's steel roof truss had failed under heavy snow load for which it was designed and became an interesting structural engineering problem. The failure observed was primarily in terms of yielding of the bottom chord under the supports, leading to partial collapse of the roof truss. This paper summarizes the results of laboratory tests and analytical studies that focused on the validation of the proposed remedial measure for rehabilitating this distressed steel roof truss. The study presents the evaluation of (i) significant reduction in strength and stiffness of the distressed truss resulting in its failure, (ii) desired recovery in both strength and stiffness of the rectified truss contributed by the proposed remedial measure. Three types of models i.e., ideal truss model, as build truss model and rectified truss model were fabricated and tested under monotonic loading. The structural configuration and support condition varied in all the three models to represent the ideal truss, distressed truss and the rectified truss. To verify the accuracy of the experimental results, an analytical study was carried out and the results of this analytical study are compared with the experimental ones.
Journal of the Korean Society of Clothing and Textiles
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v.33
no.9
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pp.1361-1373
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2009
This study analyzed female motives and psychological experiences related with high-heeled shoes. Data was collected through in-depth interviews with seven females having more than forty pairs of high-heeled shoes. Exploratory data are classified into physical aspects and mental aspects, and the meaning of wearing high-heeled shoes were derived and discussed. First, with high-heeled shoes, the participants tried to make an ideal physical appearance, 1) to make an aesthetic illusion of a longer, more slender body 2) to make a more glamorous bodyline and toned legs. Second, the psychological experiences were as follows: 1) Wearing high-heeled shoes, they felt self-confidence in appearance and had feelings of satisfaction, fulfillment, and superiority. 2) High-heeled shoes gave wearers an increased sexual appearance in addition to a feminine attitude and independent mind. Accordingly, wearers thought they could make males compliant with a better sexual look in private and public life. 3) Through buying or putting on high-heeled shoes, women could change their mood, have mental stability, and channel sexual desires. 4) Some women made the secret self with the collected high-heeled shoes for sexual fantasies. 5) They thought that painful bodies or feet were not cumbersome. In addition, some wearers thought high-heeled shoes were a natural extension of their bodies.
Muhammad Umer Farooq;Mustafa Latif;Waseemullah;Mirza Adnan Baig;Muhammad Ali Akhtar;Nuzhat Sana
International Journal of Computer Science & Network Security
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v.23
no.9
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pp.1-7
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2023
Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.
Muhammad Umer Farooq;Mustafa Latif;Waseem;Mirza Adnan Baig;Muhammad Ali Akhtar;Nuzhat Sana
International Journal of Computer Science & Network Security
/
v.23
no.8
/
pp.210-216
/
2023
Demand prediction is an essential component of any business or supply chain. Large retailers need to keep track of tens of millions of items flows each day to ensure smooth operations and strong margins. The demand prediction is in the epicenter of this planning tornado. For business processes in retail companies that deal with a variety of products with short shelf life and foodstuffs, forecast accuracy is of the utmost importance due to the shifting demand pattern, which is impacted by an environment of dynamic and fast response. All sectors strive to produce the ideal quantity of goods at the ideal time, but for retailers, this issue is especially crucial as they also need to effectively manage perishable inventories. In light of this, this research aims to show how Machine Learning approaches can help with demand forecasting in retail and future sales predictions. This will be done in two steps. One by using historic data and another by using open data of weather conditions, fuel, Consumer Price Index (CPI), holidays, any specific events in that area etc. Several machine learning algorithms were applied and compared using the r-squared and mean absolute percentage error (MAPE) assessment metrics. The suggested method improves the effectiveness and quality of feature selection while using a small number of well-chosen features to increase demand prediction accuracy. The model is tested with a one-year weekly dataset after being trained with a two-year weekly dataset. The results show that the suggested expanded feature selection approach provides a very good MAPE range, a very respectable and encouraging value for anticipating retail demand in retail systems.
Although the mackerel is an excellent food, there are disadvantages of its own smell and its shelf-life. So this study aimed to examine the quality assessment, shelf-life and acceptability of mackerel marinated with different amounts of thyme extract through the salinity, pH, texture, change of color, and sensory evaluation for reducing the smell of it and improving the shelf-life and acceptability of it with the thyme of various physiologic activities. The salinity of mackerel marinated with different amounts of thyme was a lower 2% than that of the existing salted mackerel, 5%, when producing the salted mackerel in the experimental method of this study, reducing the intake of salt. The shelf life of the existing salted mackerel was up to 4 weeks, while that of the salted mackerel marinated with thyme extract was up to 5 weeks. The change in pH during storage showed that the salted mackerel marinated with thyme extract after 5 weeks were within the initial decomposition of dark-fleshed fishes, pH 6.2-6.4, which the shelf life was extended due to the preservative effect of antioxidant content. The acceptability test showed that T 1 marinated with 1% thyme extract was ideal in all flavor, taste and general acceptability.
'Healthy Japan 21' is a new health policy that has been proposed for the 21st century: it embodies a totally new concept for its viewpoints and methods. To start with, for its goal, the focus is placed on the 'quality of life' or a life that is free of diseases, rather than mere prolongation of life. For its doctrine, the emphasis has shifted dramatically from improving the health of the entire population(the traditional approach for health improvement) to 'achieving an ideal health status for each individual. The ultimate aged society that arrives first in Japan is a society in its ultimate form for human being. Why did Japan become westernized, giving up her traditional culture? Why did she go through industrialization, sacrificing her nature? And why does she try so hard to industrialize the developing countries? These efforts are all preparation for the arrival of a ultimate aged society. During the 20th century, we believed in unlimited possibilities and expanded our social frontier. In the 21st century, on the other hand, a super-aged society(the ultimate society), a glimpse of which we have witnessed from time to time, will descend on us sooner or later. It is expected to arrive first in Japan. 'Healthy Japan 21' is intended to prepare for the arrival of the hitherto unheard of super-aged society by building the physiological basis of people. This policy is social experimentation on an immense social scale, in which questions are posed on the understanding of health, the relationship between individuals and society, the relationship between administration and citizens, the manner by which central and local governments operate, and the new relationship between prevention and therapy, 'Healthy Japan 21' may be summarized as an experiment on a huge scale directed to the ultimate form of human society, in which Japan and each of her citizens play a role and set an example for the rest of the world. Even just by considering various approaches newly suggested for this venture, one may be convinced that it is a policy with features suitable for a country that has already achieved the world's highest longevity.
Woo, Beodle;Kang, Min A;Son, Dong-In;Shin, Changho
(The)Korea Educational Review
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v.24
no.4
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pp.287-311
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2018
This research identifies an educational ideal, purpose of goal intrinsic to Hindu ashrama and provide a concrete list of appropriate educational contents and methods in accordance with them. The ideal is moksa a pursuit of spiritual liberation. The goal is to be consciously aware of and practice the Dharma at each of the four stages of life, as preserved in ashrama, by completing the educational contents and methods in each stage. In the fist stage, the student stage, the goal is to learn social laws, recognize his vocation and responsibilities through studying Veda, and engage in apprenticeship with the teacher. In the second stage, the householder stage, the goal is to get married, take care of his family, and produce the kinds of service the society requires of him. In order to do so, he is expected to learn in his ordinary life the manners for family members and the ways of ancestral rituals. In the third stage, the self-disciplined stage, the goal is to retire from social responsibilities, behave in accordance with norms and rules, and set oneself free from material desire. In order to do so, he is expected to complete the eight stage of yoga and practice asceticism. In the four stage, the nirvana stage, the goal is to completely free from obsession and reaches the spiritual liberation. In order to do so, one is expected to participate in meditation and pilgrimage to the Holy Land until he reaches the final point.
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