• Title/Summary/Keyword: Smooth area

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Animal Models for the Study of Post-Micturition Dribble in Aged Male (고령 남성의 배뇨 후 요실금 연구를 위한 동물 모델)

  • Seung Hwan, Jeon;Mi-Young, Park
    • Korean Journal of Clinical Laboratory Science
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    • v.54 no.4
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    • pp.307-315
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    • 2022
  • Since attaining middle age, many patients suffer from the post-micturition dribble (PMD) syndrome but do not receive proper treatment. This is because the etiology and treatment mechanisms of PMD differ from conventional lower urinary tract symptoms. Several pathophysiologies have been proposed, but the mechanisms we observed are the weakening of the bulbocavernosus muscle and dilation of the urethra due to atrophy of the cavernosal tissue. This study investigates the mechanism of PMD by observing anatomical changes in the corpus cavernosum and urethra. SD male rats were categorized by age into the young rats group (8 weeks old) and the old rats group (24 months or more). The ratio area of the bulbous urethra and corpus cavernosum to the total penis was statistically significant between both groups (P<0.05). Significant differences were obtained between the two groups for restored smooth muscle contents and several other parameters related to PMD mechanisms (nNOS, α-SMA) (P<0.05). The changes in size and parameters of the urethra and corpus cavernosum in young and old rats were confirmed. The results from this study are expected to contribute to the study of PMD in the future.

An Application of Machine Learning in Retail for Demand Forecasting

  • 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.

An Application of Machine Learning in Retail for Demand Forecasting

  • Muhammad Umer Farooq;Mustafa Latif;Waseem;Mirza Adnan Baig;Muhammad Ali Akhtar;Nuzhat Sana
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.210-216
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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.

The Tentative Plans of Middle-rise Traditional Houses (Han-ok) Located on Seoun-dong in Urban Area of Cheongju, Korea (중층형 생활한옥 모델시안 연구 - 청주 서운동의 사례를 중심으로 -)

  • Kim, Chan Gu;Kim, Tai Young
    • Journal of the Korean Institute of Rural Architecture
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    • v.24 no.2
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    • pp.21-28
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    • 2022
  • Focusing on the creation of a new han ok, especially a mid-rise hybrid-structured Han-ok, this study proposes a middle-rise (four-story) Han-ok on one and two lots located in Seoun-dong, the existing Han-ok intensive housing site in downtown Cheongju. 1) In terms of layout and function, according to the existing L-shaped Han-ok corresponding to the road and the direction, the parking lots and shops on the 1st floor, the business facility on the 2nd floor, the Han-ok on the 3rd and 4th floors are placed. There are yards, open roof yards, and semi-open Daecheong(大廳, main hall), which can be shared by residents. 2) In terms of structure and form, one or two floors (some 3 floors) are 5.4m square and 5.4×6.6m modules of the RC(Reinforced Concrete) group, and the upper floor reflects the 2.7m module, size and shape of the existing Han-ok. By extending the outer wall of the RC group in the lower floors (1st to 3rd floors) to the wooden exterior of the upper floors (2nd to 4th floors), it is attempted to avoid the awkward appearance of the RC group being exposed to wooden structures. And it is also attempted to reflect the wooden shape and design elements through the elevation elements such as horizontal windows, corner windows, picture frames, and vertical slits. 3) In environmental control and facilities, it is attempted to smooth the ventilation of the building by forming a vertical upward airflow from the dark space of the low floor to the positive of the upper floor. This doubles the effect through a vertical rise of cold air generated in a narrow alleyway, piloti parking lot, and the various voids. In addition to the Daecheong and Numaru(loft) of Han ok, the rooftop yard, the terrace, and the balcony, horizontal natural ventilation is generated through divided doors and transom windows.

Discussion on East Asian Economic Community (동아시아 지역협력강화와 경제공동체 추진에 관한 고찰: 중-일 관계를 중심으로)

  • MIN, Kyoungsik
    • International Area Studies Review
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    • v.15 no.1
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    • pp.195-218
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    • 2011
  • Discussion of Economic Community in East Asia are active. This trend began in the late 20th from the EU and North America's regional economic integration is in response to the movement. East Asia in the late 1990s to the actual for the FTA, it was not very active. As East Asian Economic Community became one of agendas for ASEAN+3 Leaders' meeting since 2004. Japan has been positioned itself as a leading country in East Asia. However, the emergence of China in the East Asian economic community have been changes. Moreover, East Asian countries began concerns over regional economic community with frequent conclusions of FTAs and China is leading the discussion on strengthening economic cooperation in the region. Some of it in terms of economic community in East Asia will not be smooth. First, East Asian countries do not have a common goal. Second, East Asian countries have a lot of diversity. Third, China and Japan are expected to compete in the championship. Therefore, East Asian economic community should be approached in the long-term perspective.

Research on Korean Upcycling Centers and Operational Programsfor Regional Sustainable Growth (지역적 지속가능성장을 위한 국내 업사이클링 센터 현황 및 운영프로그램 조사연구)

  • Soojeong Bae;Kyunghee Jung
    • Journal of Fashion Business
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    • v.28 no.1
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    • pp.98-112
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    • 2024
  • The purpose of this study was to provide basic information on the development of local governments and upcycling industries that want to establish centers in the future. The study investigated the current situation and programs of domestic upcycling centers for regional sustainable growth. As a result of comparing and analyzing the programs operated by the upcycling centers by region, they could be classified into culture and arts experience programs, resource circulation experience programs, and environmental culture education programs according to the nature of the operation programs that are more focused on in addition to the experience and education programs reflected by each center. Among the upcycling materials and items used in the operation program, fashion-related education was being operated in a more diverse manner in the area of culture and arts experience programs. As a result of the analysis, it was found that it was necessary to establish a smooth material supply network, develop an in-depth step-by-step upcycling fashion education program, and strengthen the upcycling center program using regional characteristics. The results of this study are significant in that they provide the local governments with basic information for the establishment of upcycling centers in areas where the upcycling centers have not been established. In addition, this study presents the types and directions of programs necessary for establishing upcycling centers in the future.

Extremely Rare CT and MRI Findings of Peritoneal Leiomyoma Mimicking Hepatic Mass: A Case Report (매우 드문 간종괴로 오인된 복막 평활근종의 CT 및 MRI 소견: 증례 보고)

  • Jonghun Woo;Seo-Youn Choi;Hee Kyung Kim;Ji Eun Lee;Min Hee Lee;Sanghyeok Lim
    • Journal of the Korean Society of Radiology
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    • v.84 no.4
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    • pp.946-951
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    • 2023
  • Leiomyoma is a common benign tumor from smooth muscle cells, mostly in the uterus. Peritoneal leiomyomas (PLs) are extremely rare and mostly reported as disseminated peritoneal leiomyomatosis. However, to the best of out knowledge, radiologic findings of isolated PL are not reported in English literature. Herein, we introduce the radiologic findings of PL mimicking hepatic mass in a 34-year-old female. CT showed a mass with curvilinear heterogeneous enhancement at the liver's peripheral area. On MRI, the mass showed gradual and heterogeneous enhancement on gadoxetic acid-enhanced MRI and diffusion restriction. The radiologic diagnosis was a benign hepatic tumor, such as degenerated hemangioma, adenoma, and inflammatory myofibroblastic tumor; however, the mass was diagnosed as PL pathologically.

Implementation of Autonomous Vehicle Situational Awareness Technology using Infrastructure Edge on a Two- way Single Lane in Traffic-isolated Area (교통소외지역 양방향 단일차선에서 인프라 엣지를 이용한 자율주행 차량 상황 인지 기술 구현)

  • Seongjong Kim;Seokil Song
    • Journal of Platform Technology
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    • v.11 no.6
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    • pp.106-115
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    • 2023
  • In this paper, we propose a sensor data sharing system for the safe and smooth operation of autonomous vehicles on two-way single lanes in traffic-isolated areas and implement the core module, the situational awareness technology. Two-way single lanes pose challenges for autonomous vehicles, particularly when encountering parked vehicles or oncoming traffic, leading to reversing issues. We introduce a system using infrastructure cameras to detect vehicles' approach, enter, and leave on twoway single lanes in real-time, transmitting this information to autonomous vehicles via V2N communication, thereby expanding the sensing range of the autonomous vehicles. The core part of the proposed system is the situational awareness of the two-way single lane using infrastructure cameras. In this paper, we implement this using object detection and tracking technology. Finally, we validate the implemented situational awareness technology using data collected from actual two-way single lanes.

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Growth Characteristics and Forage Productivity of New Forage Barley Variety, 'Miho' (청보리 신품종 '미호'의 생육특성과 수량성)

  • Oh, Young-Jin;Park, Tae-Il;Park, Hyoung-Ho;Han, Ouk-Kyu;Song, Tae-Hwa;Park, Jong-Chul;Kim, Yang-Kil;Park, Jong-Ho;Kang, Hyeon-Jung;Kang, Chon-Sik;Cheong, Young-Keun;Kim, Kyong-Ho;Kim, Bo-Kyeong;Yun, Geon-Sig;Hong, Gi-Heung;Bae, Jeong-Suk;Lee, Seong-Tae
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.36 no.4
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    • pp.370-375
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    • 2016
  • The purpose of development new variety 'Miho' (Hordeum vulgare L.) is a favorite with livestock feed and develop varieties resistant to disease and lodging. 'Miho' was carrying out the growth habit of group III with green and mid-wide leaf. Awn that is related to preference of livestock is a semi-smooth awn. This cultivar had 96 cm of culm length, 650 of spikes $per\;m^2$. Heading date of 'Miho' was April 27, and maturing date on May 30, which were later than cultivar 'Youngyang'. It also showed strong winter hardiness, and similar resistance to shattering and bariy yellow mosaic virus (BaYMV) compared with those of check one. The best thing among the traits of a good quality with the plant green at the latter growing period. The average forage dry matter yield in the regional yield trial was about 13.1, 12.1 MT per ha in upland and paddy field, respectively, which were 9%, 2% higher than that of the check cultivar. It's also showed 6.8% crude protein, 27.1% ADF (acid detergent fiber), and 67.5% TDN (total digestible nutrients), including higher silage quality for whole crop barley. This cultivar would be suitable for the area whose average minimum temperature was above $-8^{\circ}C$ January in Korean peninsula.

THE STUDY OF THE DENTAL PLAQUE FORMATION ON DIFFERENT IMPLANT SURFACES (임플란트 표면에 따른 인공치면세균막 형성에 관한 연구)

  • Kim, Jin-Woo;Han, Se-Jin;Kim, Kyung-Wook
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.34 no.3
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    • pp.325-340
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    • 2008
  • The purpose of this study was to evaluate the artificial dental plaque by Streptococcus mutans on 4 different implant surfaces. In this study, the specimens were divided into 4 groups according to implant surface treatment. Uncoated implant group(n=5) which has an uncoated, smooth surfaced implant(Osstem, Korea), SLA implant group(n=5) which has an sandblasted large grit and acid-etched surface implant(Bicon, USA). Oxidized implant group(n=5) which has an oxidized surfaced implant (Osstem, Korea), and RBM implant group(n=5) which has resorbable blasting media(RBM) surfaced implant(Osstem, Korea). Acquired pellicle by human saliva and dental plaque by Streptococcus mutans were made on each implant surface. To analyze the plaque condition on implants surfaces, cell count and optical density were taken as a microbiologic method, and SEM(Scanning Electronic Microscope) findings was also taken for evaluation of surface condition. The following results were obtained. 1. Cell counting results of artificial dental plaque were Uncoated group($658.0{\pm}102.0$), RBM group($878.0{\pm}170.0$), SLA group ($946.0{\pm}42.0$), Oxidized group($992.0{\pm}40.0$), and there was difference between Oxidized group and Uncoated implant group(p<0.05). In case of modified cell counting results by v/w% were RBM group($197.8{\pm}45.2$), Oxidized group($207.04{\pm}8.34$), Uncoated group($261.6{\pm}40.6$), SLA group($315.4{\pm}14.0$), and there was difference between RBM group and SLA group(p<0.05). 2. Optical density results of artificial dental plaque after ultrasonic treatment was that there was difference among groups, and optical density of RBM group was higher than that of Uncoated group(p<0.05). In case of modified optical density results by v/w%, there was difference among groups, and the modified optical density of Uncoated group and SLA group was higher than those of Oxidized group and RBM group(P>0.05). 3. SEM findings of artificial dental plaque on the surfaces of implant as follows; there were artificial dental plaque on the surfaces of all test implants. Streptococcus mutans and by-product were observed at 10,000 times magnified condition on all test implants. Adhesion area of artificial dental plaque was about 1/2 of total surface after 24 hours incubate at $37^{\circ}C$. These results showed that there were differences among implant surfaces on the growth of Streptococcus mutans, and bacteria and by-product were covered about 1/2 area of total implant surfaces at 24 hours incubate at $37^{\circ}C$.