• Title/Summary/Keyword: DIANA

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A rare case of implant displacement to the contralateral side after gluteal augmentation

  • Rueda, Juan Dario Alviar;Miranda-Diaz, Audrey Jose;Cely, Adriana Gonzalez;Leon, Diana Carolina Navarro
    • Archives of Plastic Surgery
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    • v.47 no.4
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    • pp.360-364
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    • 2020
  • In this report, we present a rare case of solid silicone implant displacement to the contralateral side after aesthetic gluteal augmentation, a phenomenon that has never been reported before in the literature. A 29-year-old woman with a history of gluteal augmentation 9 months previously and soft tissue infection presented for a consultation due to 3 days of sudden progressive pain in the right gluteus with erythema and edema, without a history of trauma. Displacement of the left gluteal implant to the right gluteal pocket was shown by magnetic resonance imaging. Because the patient refused implant removal, the decision was made to perform capsulotomy, to reconstruct the gluteal pockets, and to preserve the implants. The patient showed a satisfactory early and late postoperative course. Possible causes of this complication include poor surgical technique, with insufficient tissue preservation to keep the pockets apart, and the presence of seroma or hematoma that favored an infectious process, thereby leading to deterioration of the dissected soft tissues with dehiscence of the wound favoring the displacement of the implant.

Accounting Earnings Response Coefficient: Is the Earning Response Coefficient Better or Not

  • PARAMITA, Ratna Wijayanti Daniar;FADAH, Isti;TOBING, Diana Sulianti K.;SUROSO, Imam
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.51-61
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    • 2020
  • The study aims to compare whether using Earnings Response Coefficient (ERC) is better than using the new concept of Accounting Earnings Response Coefficient (AERC) in determining the earnings quality response coefficient value. Also, the study seeks to explain the effect of company characteristics and corporate governance on AERC through voluntary disclosure and information asymmetry. Research samples include 69 manufacturing companies listed on the Indonesian Stock Exchange over the period 2014-2017. The data come from annual reports, stock market prices, CSPI, EPS, stock returns and market returns. The research model is tested using the structural equation model (SEM) with partial least square (PLS). The results showed the value of the earnings response coefficient produced by AERC and ERC was different. Earnings quality resulting from AERC regression by adding CFO values better reflects the actual earnings quality. These results are consistent with the concept built from the proposition about earnings quality at AERC, that quality earnings are informative accounting earnings. The theoretical findings of this study provide an explanation that operational cash flow plays a role in evaluating earnings quality, while providing reinforcement that the ERC regression model fails to detect stock market reactions to information relevant to the aggregated values of accounting earnings.

Structural behavior of partially encased composite columns under axial loads

  • Pereira, Margot F.;De Nardin, Silvana;El Debs, Ana L.H.C.
    • Steel and Composite Structures
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    • v.20 no.6
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    • pp.1305-1322
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    • 2016
  • This paper presents the results of experimental and numerical model analyses on partially encased composite columns under concentric loads. The main objective of this study is to evaluate the influence of replacing the conventional longitudinal and transverse steel bars by welded wire mesh on the structural behavior of these members under concentric loads. To achieve these goals experimental tests on four specimens of partially encased composite columns submitted to axial loading were performed and the results were promising in terms of replacing the traditional reinforcement by steel meshes. In addition, a numerical FE model was developed using the software DIANA$^{(R)}$ with FX+. The experimental results were used to validate the numerical model. Satisfactory agreement between experimental and numerical results was observed in both capacity and deformability of the composite columns. Despite of the simplifying assumptions of perfect bond between steel and concrete, the numerical model adequately represented the columns behavior. A finite element parametric study was performed and parameters including thickness of the steel profile and the concrete and steel strengths were evaluated. The parametrical study results found no significant changes in the partially encased columns behavior due to variations of the steel profile thickness or yield strength. However, significant changes in the post peak behavior were observed when using high strength concrete and these results suggest a change in the failure mode.

Experimental and numerical analysis of RC structure with two leaf cavity wall subjected to shake table

  • Onat, Onur;Lourenco, Paulo B.;Kocak, Ali
    • Structural Engineering and Mechanics
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    • v.55 no.5
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    • pp.1037-1053
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    • 2015
  • This paper presents finite element (FE) based pushover analysis of a reinforced concrete structure with a two-leaf cavity wall (TLCW) to estimate the performance level of this structure. In addition to this, an unreinforced masonry (URM) model was selected for comparison. Simulations and analyses of these structures were performed using the DIANA FE program. The mentioned structures were selected as two storeys and two bays. The dimensions of the structures were scaled 1:1.5 according to the Cauchy Froude similitude law. A shake table experiment was implemented on the reinforced concrete structure with the two-leaf cavity wall (TLCW) at the National Civil Engineering Laboratory (LNEC) in Lisbon, Portugal. The model that simulates URM was not experimentally studied. This structure was modelled in the same manner as the TLCW. The purpose of this virtual model is to compare the respective performances. Two nonlinear analyses were performed and compared with the experimental test results. These analyses were carried out in two phases. The research addresses first the analysis of a structure with only reinforced concrete elements, and secondly the analysis of the same structure with reinforced concrete elements and infill walls. Both researches consider static loading and pushover analysis. The experimental pushover curve was plotted by the envelope of the experimental curve obtained on the basis of the shake table records. Crack patterns, failure modes and performance curves were plotted for both models. Finally, results were evaluated on the basis of the current regulation ASCE/SEI 41-06.

The Method of Nearest Surrounder Query Processing in Three-Dimensional Space (3차원 지리 공간 환경에서의 근접주변 객체 질의 처리 기법)

  • Gromyko, Diana;Jang, Hong-Jun;Choi, Woo-Sung;Hyun, Kyeong-Seok;Chung, Jaehwa;Jung, Soon-Young
    • Annual Conference of KIPS
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    • 2015.10a
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    • pp.1211-1214
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    • 2015
  • 최근 모바일 기기의 발달과 기기의 보급으로 인하여, 사용자의 이동성에 따른 위치 정보에 관한 질의 요구가 증가되고 있다. 이러한 사회적 특성에 맞추어 현재 위치를 중심으로 주변 객체를 찾는 최근접주변 객체 질의에 대한 연구가 활발히 진행되고 있다. 기존 최근접 주변객체 질의는 2차원 공간에서 질의 점 주변에 보이는 모든 객체를 검색하며 보이지 않는 객체는 제외시킨다. 하지만 3차원 공간 환경일 경우 객체들의 높이를 감안해야 하기 때문에 기존 기법들로는 3차원 근접주변 객체를 검색하기에는 적합하지 않다. 본 논문에서는 이런 문제점을 해결하는 새로운 3차원 최근접 주변객체 질의 (3dimensional Nearest Surrounder Query: 3dNS)를 제안한다. 객체들 간의 Z_angle 수직각도를 사용함으로써 3차원 공간 환경에서 객체 검색을 가능하게 하며 질의 처리의 정확성을 높일 수 있다.

The Role of Two Human Milk Oligosaccharides, 2'-Fucosyllactose and Lacto-N-Neotetraose, in Infant Nutrition

  • Hegar, Badriul;Wibowo, Yulianti;Basrowi, Ray Wagiu;Ranuh, Reza Gunadi;Sudarmo, Subianto Marto;Munasir, Zakiudin;Atthiyah, Alpha Fardah;Widodo, Ariani Dewi;Supriatmo, Supriatmo;Kadim, Muzal;Suryawan, Ahmad;Diana, Ninung Rose;Manoppo, Christy;Vandenplas, Yvan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.22 no.4
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    • pp.330-340
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    • 2019
  • Human breast milk contains numerous biomolecules. Human milk oligosaccharides (HMOs) are the third most abundant component of breast milk, after lactose and lipids. Amongst the synthetized HMOs, 2'-fucosyllactose (2'-FL) and lacto-N-neotetraose (LNnT) are widely studied and are considered safe for infant nutrition. Several studies have reported the health benefits of HMOs, which include modulation of the intestinal microbiota, anti-adhesive effect against pathogens, modulation of the intestinal epithelial cell response, and development of the immune system. The amount and diversity of HMOs are determined by the genetic background of the mothers (HMO secretors or non-secretors). The non-secretor mothers secrete lower HMOs than secretor mothers. The breastfed infants of secretor mothers gain more health benefit than those of non-secretor mothers. In conclusion, supplementation of infant formula with 2'-FL and LNnT is a promising innovation for infant nutrition.

Ralstonia pickettii Enhance the DDT Biodegradation by Pleurotus eryngii

  • Purnomo, Adi Setyo;Maulianawati, Diana;Kamei, Ichiro
    • Journal of Microbiology and Biotechnology
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    • v.29 no.9
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    • pp.1424-1433
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    • 2019
  • DDT is a hydrophobic organic pollutant, which can be bio-accumulated in nature and have adverse consequences on the physical condition of humans and animals. This study investigated the relationship between the white-rot fungus Pleurotus eryngii and biosurfactant-producing bacterium Ralstonia pickettii associated with the degradation of DDT. The effects of R. pickettii on fungal development were examined using in vitro confrontation assay on a potato dextrose agar (PDA) medium. R. pickettii culture was added to the P. eryngii culture at 1, 3, 5, 7, and 10 ml ($1ml{\approx}1.44{\times}10^{13}CFU$). After 7 d incubation, about 43% of the initial DDT ($12.5{\mu}M$) was degraded by the P. eryngii culture only. The augmentation of 7 ml of R. pickettii culture revealed a more highly optimized synergism with DDT degradation being approximately 78% and the ratio of optimization 1.06. According to the confrontational assay, R. pickettii promoted the growth of P. eryngii towards the bacterial colony, with no direct contact between the bacterial cells and mycelium (0.71 cm/day). DDD (1,1-dichloro-2,2-bis(4-chlorophenyl) ethane), DDE (1,1-dichloro-2,2-bis(4-chlorophenyl) ethylene), and DDMU (1-chloro-2,2-bis(4-chlorophenyl) ethylene) were identified as metabolic products, indicating that the R. pickettii could enhance the DDT biodegradation by P. eryngii.

Factor Influencing Employee Performance: The Role of Organizational Culture

  • DIANA, Ilfi Nur;SUPRIYANTO, Achmad Sani;EKOWATI, Vivin Maharani;ERTANTO, Arga Hendra
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.545-553
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    • 2021
  • This study examines the role of Leadership style and Organizational culture in predicting employee Performance. The aim of the research is: 1) to know the direct effect of Democratic Leadership on employee Performance, 2) to know the direct effect of Democratic Leadership on organizational culture, 3) to know the direct effect of Organizational culture on employee Performance, 4) to test the role of Organizational culture as mediation the effect of Democratic Leadership on employee Performance. The respondents were all employees at the Education Office East Java. The sampling method was used to collect data from 106 employees at the Education Office East Java, Indonesia, using surveys and questionnaires. The data obtained were analyzed using the Path Analysis with SPSS statistical software. The study had four findings. Firstly, Democratic Leadership has a significant effect on employee Performance. Secondly, Democratic Leadership also has a significant effect on Organizational culture. Thirdly, Organizational culture has a significant effect on employee performance. Fourthly, organizational culture mediates the effect of Democratic Leadership on employee Performance. Furthermore, the direct effect of Leadership style and the mediation role contribute to knowledge. The results showed that implementing Democratic Leadership supported by a conducive organizational culture guides employee to perform better.

G-ASPOO-L: The Technopreneurship-Based Supply Chain Management Model for Souvenirs MSMEs to Reach Customer Value Creation

  • NOERSASONGKO, Edi;SARTIKA, Mila;AQMALA, Diana;HASIBUAN, Zainal Arifin
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.59-69
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    • 2022
  • Purpose: The purpose of this research is to identify and design a model for the integration between marketing and supply chain management (SCM) of technopreneurship-based souvenirs MSMEs to fulfil customer value creation. Research design, data and methodology: This research method uses the system development life cycle method. This study draws its insights and conclusions from a literature review in several fields followed by an interactive research approach that helps identify, validate, and implement a theoretical framework so that the modelling results can be adopted in applicative manner for souvenir MSMEs. Result: Implementing the "G-ASPOO-L" supply chain management integration model based on technopreneruship to fulfil value creation in the 5.0 society era created three perspectives: an inter-functional perspective, a process perspective, and an integrated business concept perspective. The supply chain management involves enterprise integration, strategic customer integration, strategic supplier integration, and marketing strategy integration. Conclusion: The proposed model framework leads to managerial problems of supply chain management strategy, which urgently requires an interaction approach that challenges the traditional view of demand creation and implementation of supply chain management to fulfil value creation. This research leverages existing knowledge and advances our understanding of the strategic integration issues companies face in digital-based competition.

Marketing Performance and Big Data Use During the COVID-19 Pandemic: A Case Study of SMEs in Indonesia

  • WIBOWO, Sampurno;SURYANA, Yuyus;SARI, Diana;KALTUM, Umi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.571-578
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    • 2021
  • The outbreak of the COVID-19 pandemic, which began in 2020, had a significant impact on the economy and business activities worldwide. Large companies, as well as small businesses were affected, many of them had to scale down or divert their businesses, and some even had to stop. This extraordinary situation requires business people to make innovations and adjustments to survive during a pandemic. Entering the digital era, business players are helped by the ease of internet access, which will make it easier for SME players to get data from their consumers. Business actors can use this data to innovate and create new creations to improve business performance during this pandemic. This research aims to identify how small and medium enterprises can take advantage of Big Data to improve marketing performance through innovation and value creation. The research methodology used the in this research is quantitative method. The respondents are SME producers of food and beverage, with a total of 150 respondents. The results in the study indicate that all the proposed hypotheses are accepted. The most significant influence is found on the relationship of Big Data to value creation. The lowest effect was obtained from the relationship between Big Data and marketing performance through the mediation variable and innovation capability.