• Title/Summary/Keyword: Meta study

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Algorithmic approach to the lymphatic leak after vascular reconstruction: a systematic review

  • Nicksic, Peter John;Condit, Kevin Michael;Nayar, Harry Siva;Michelotti, Brett Foster
    • Archives of Plastic Surgery
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    • v.48 no.4
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    • pp.404-409
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    • 2021
  • Background To date, there are no consensus guidelines for management of lymphatic leak in groin vascular reconstruction patients. The goal of this study is to review the relevant literature to determine alternatives for treatment and to design an evidence-based algorithm to minimize cost and morbidity and maximize efficacy. Methods A systematic review of the literature was conducted per Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. Two independent reviewers applied agreed-upon inclusion and exclusion criteria to eligible records. Studies that included patients who underwent groin dissection for oncologic diagnoses and level 5 data were excluded. Interventions were then categorized by efficacy using predetermined criteria. Results Our search yielded 333 records, of which eight studies were included. In four studies, the success of lymphatic ligation ranged from 75% to 100%, with average days to resolution ranging from 0 to 9. Conservative management in the form of elevation, compression, and bedrest may prolong time to resolution of lymphatic leak (14-24 days) and therefore cost. Conclusions The majority of patients should be offered early operative intervention in the form of lymphatic ligation with or without a primary muscle flap. If the patient is not an operative candidate, a trial of conservative management should be attempted before other nonsurgical interventions.

A Systematic Review on the Correlation between Forest Landscape and Therapeutic Effects (산림경관과 치유 효과에 관한 국내문헌 고찰)

  • Jeong, Philyoung;Lee, Juyoung
    • Journal of Environmental Science International
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    • v.30 no.7
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    • pp.529-536
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    • 2021
  • The forest landscape has been considered to be one of the most beneficial factors, in regard to facilitating the therapeutic effects of the forest environment. The aim of this study was to review the preceding literary works on the correlation between forest landscape and its therapeutic effects and to ponder on key factors of forest landscape that promotes therapeutic results on people's psychological and physiological responses. Literature found in domestic research databases was analyzed and examined in accordance with the 'Preferred reporting items for systematic reviews and meta-analyses(PRISMA)' process. Six papers out of 1,890 were selected as key literature to support the connection. The quality of forest landscape was found to be an integral environmental factor in determining the healing effects of forests. In particular, several factors, including forest types, aquatic elements within the forest landscape, forest-use density and aesthetic elements of forest landscape were found to be crucial for enhancing the therapeutic effects on people's wellbeing. Despite the limited sample groups in the analyzed literature, the results offered a significant insight in supporting the healing effects of forests. Further studies on this subject are required to provide more scientific data for verifying the quality of the therapeutic effects of forests.

Beyond Factual Knowledge and Symbolic Competence: Interculturality as Transcultural Intersubjectivity

  • Omengele, Theophile Ambadiang
    • Cross-Cultural Studies
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    • v.20
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    • pp.295-321
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    • 2010
  • The trend of globalization has sharpened the debate on interculturality, which scholars examine from different and often conflicting points of view ('content' vs. 'practice', 'culture-specific' vs. 'universal', 'communication (meta)theory' vs. 'communication practice', 'individual' vs. 'collective', etc.). Whereas all these approaches are necessary to describe the multiple dimensions of interculturality, their dichotomous nature does not help to account for its internal complexity, which cannot be dissociated from the connections that exist among all these dimensions. The difficulty posed by the essentialist interpretations that tend to result from these dichotomies is compounded by the fact that in postmodern debates priority has been given to approaches that emphasize individual or collective agency over structural constraints which have to do with political economy or with cultural and linguistic codes and traditions. This paper aims mainly at suggesting that the dissolution of the boundaries that exist between these approaches should be pursued in order to get a fuller and richer approach to their common object of study. After discussing, by way of illustration, content-based and practice-based perspectives, we suggest that one way of getting beyond these dichotomies consists in focusing on the 'interactional' dimension of interculturality, which means laying emphasis on intersubjectivity and, particularly, on the individual subjects considered as members of different cultural communities who strive to transcend their sociocultural boundaries in order to reach harmonious interactions in a world in which inequality and the de-territorialization of people and cultures are central features.

The Study of Data Integration Methods for Heterogeneous Sensors in a Cloud Environment (클라우드 환경에서 이기종 센서를 위한 데이터 통합에 대한 연구)

  • Hwang, Chi-Gon;Yoon, Chang-Pyo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.354-356
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    • 2014
  • Recently, The sensor technology Has been used in many fields, it is detected data of various types of sensors, is very difficult to integrate due to differences in the standards and each other unit. Also, when we providing a service or program on a data cloud, it is important that integrates of such data in order to take advantage of the detected data in the similar field. In this paper, we propose a approaches to integrating data to be provided as a service in the cloud of data arising from a heterogeneous sensors. The approaches are generating a standard meta-data based on ontology, it is mapping with detected data by the sensor data. Accordingly, the detected data is possible to improve the efficiency of data transfer between the sensor and the application by sending an application in a standard format.

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Effects of Yoga for Dysmenorrhea Relief: A Systematic Review (월경곤란증에 관한 요가의 효과: 체계적 문헌고찰)

  • Kim, Sang-Dol
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.396-404
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    • 2019
  • This study was systematic review to confirm the effects of the yoga on dysmenorrhea. Seven articles were extracted from the CINAHL, the Cochrane library, Embase, PsycINFO, PubMed, and Koreamed electronic databases. Menstrual pain intensity and duration, menstrual distress, QOL, anxiety, anger, and depression levels, homocysteine, TSH, FSH, LH, and prolactin levels were decreased significantly in the yoga group, compared with control group. These findings imply that yoga are a favorable intervention for dysmenorrhea.

A Systematic Design Automation Method for RDA-based .NET Component with MDA

  • Kum, Deuk Kyu
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.69-76
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    • 2019
  • Recent Enterprise System has component driven real-time distributed architecture (RDA) and this kind of architecture should performed with satisfying strict constraints on life cycle of object and response time such as synchronization, transaction and so on. Microsoft's .NET platform supports RDA and is able to implement services including before mentioned time restriction and security service by only specifying attribute code and maximizing advantages of OMG's Model Driven Architecture (MDA). In this study, a method to automatically generate an extended model of essential elements in an enterprise-system-based RDA as well as the platform specific model (PSM) for Microsoft's .NET platform are proposed. To realize these ideas, the functionalities that should be considered in enterprise system development are specified and defined in a meta-model and an extended UML profile. In addition, after defining the UML profile for .NET specification, these are developed and applied as plug-ins of the open source MDA tool, and extended models are automatically generated using this tool. Accordingly, by using the proposed specification technology, the profile and tools can easily and quickly generate a reusable extended model even without detailed coding-level information about the functionalities considered in the .NET platform and RDA.

Discrete Optimization of Structural System by Using the Harmony Search Heuristic Algorithm with Penalty Function (벌칙함수를 도입한 하모니서치 휴리스틱 알고리즘 기반 구조물의 이산최적설계법)

  • Jung, Ju-Seong;Choi, Yun-Chul;Lee, Kang-Seok
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.33 no.12
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    • pp.53-62
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    • 2017
  • Many gradient-based mathematical methods have been developed and are in use for structural size optimization problems, in which the cross-sectional areas or sizing variables are usually assumed to be continuous. In most practical structural engineering design problems, however, the design variables are discrete. The main objective of this paper is to propose an efficient optimization method for structures with discrete-sized variables based on the harmony search (HS) meta-heuristic algorithm that is derived using penalty function. The recently developed HS algorithm was conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. In this paper, a discrete search strategy using the HS algorithm with a static penalty function is presented in detail and its applicability using several standard truss examples is discussed. The numerical results reveal that the HS algorithm with the static penalty function proposed in this study is a powerful search and design optimization technique for structures with discrete-sized members.

Optimum design of cantilever retaining walls under seismic loads using a hybrid TLBO algorithm

  • Temur, Rasim
    • Geomechanics and Engineering
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    • v.24 no.3
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    • pp.237-251
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    • 2021
  • The main purpose of this study is to investigate the performance of the proposed hybrid teaching-learning based optimization algorithm on the optimum design of reinforced concrete (RC) cantilever retaining walls. For this purpose, three different design examples are optimized with 100 independent runs considering continuous and discrete variables. In order to determine the algorithm performance, the optimization results were compared with the outcomes of the nine powerful meta-heuristic algorithms applied to this problem, previously: the big bang-big crunch (BB-BC), the biogeography based optimization (BBO), the flower pollination (FPA), the grey wolf optimization (GWO), the harmony search (HS), the particle swarm optimization (PSO), the teaching-learning based optimization (TLBO), the jaya (JA), and Rao-3 algorithms. Moreover, Rao-1 and Rao-2 algorithms are applied to this design problem for the first time. The objective function is defined as minimizing the total material and labor costs including concrete, steel, and formwork per unit length of the cantilever retaining walls subjected to the requirements of the American Concrete Institute (ACI 318-05). Furthermore, the effects of peak ground acceleration value on minimum total cost is investigated using various stem height, surcharge loads, and backfill slope angle. Finally, the most robust results were obtained by HTLBO with 50 populations. Consequently the optimization results show that, depending on the increase in PGA value, the optimum cost of RC cantilever retaining walls increases smoothly with the stem height but increases rapidly with the surcharge loads and backfill slope angle.

Effects of Chuna Manual Therapy(CMT) on Rotator Cuff Disorder: A Systematic Review (회전근개 질환에 대한 추나 치료의 효과: 체계적 문헌 고찰)

  • Hong, Su-Min;Do, Ki-Won;Yoon, Kwang-Sik
    • The Journal of Churna Manual Medicine for Spine and Nerves
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    • v.16 no.1
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    • pp.1-11
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    • 2021
  • Objectives This study aimed to evaluate the efficacy of Chuna manual therapy(CMT) in the treatment of rotator cuff disorder. Methods We searched th following nine online databases without language restriction (MEDLINE/PubMed, Cochrane library, Ebscohost, CNKI, RISS, NDSL, KMBASE, and KISS) to identify randomized controlled trials (RCTs) that used CMT in the treatment of rotator cuff disorder. The methodological quality of each RCT was assessed using the Cochrane risk-of-bias tool. Results Four RCTs were included. in the meta-analysis. CMT resulted in a significant reduction in symptoms in these trials. However, there was a high risk of bias in the RCTs. Conclusions We reviewed RCTs that studied the effects of CMT for rotator cuff disorder. While the studies indicate that CMT has favorable effects on rotator cuff disorder. But the risk of bias for most of the studies was high. Therefore, high-quality studies are required to make further conclusions.

Thermal Radiative Properties of Multilayer Graphene/Glass Structure (다층 그래핀/유리 구조체의 적외선 열복사 특성 연구)

  • Park, Kyung-Ah;Lim, Mikyung;Jung, Hyun-June;Kim, Jae-Hyun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.34 no.1
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    • pp.27-32
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    • 2021
  • In this study, we fabricated multilayer graphene on a glass substrate by stacking the monolayer graphene synthesized via chemical vapor deposition. The electrical sheet resistance and optical transmittance were evaluated to confirm the quality of the stacked multilayer graphene. Using the fabricated multilayer graphene/glass structure, we characterized its thermal radiative property in terms of the integrated emissivity. The integrated emissivity of the multilayer graphene/glass structure was tuned from 0.91 to 0.72 when the number of graphene layers was changed from 1 to 12. We also demonstrated that the emissivity tunability provided a way to control the apparent temperature of an object that can be used in infrared stealth applications.