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Short-term comparative outcomes between reverse shoulder arthroplasty for shoulder trauma and shoulder arthritis: a Southeast Asian experience

  • Ng, Julia Poh Hwee;Tham, Sherlyn Yen Yu;Kolla, Saketh;Kwan, Yiu Hin;Tan, James Chung Hui;Teo, Timothy Wei Wen;Wee, Andy Teck Huat;Toon, Dong Hao
    • Clinics in Shoulder and Elbow
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    • 제25권3호
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    • pp.210-216
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    • 2022
  • Background: Reverse shoulder arthroplasty (RSA), first introduced as a management option for cuff tear arthropathy, is now an accepted treatment for complex proximal humeral fractures. Few studies have identified whether the outcomes of RSA for shoulder trauma are comparable to those of RSA for shoulder arthritis. Methods: This is a retrospective, single-institution cohort study of all patients who underwent RSA at our institution between January 2013 and December 2019. In total, 49 patients met the inclusion criteria. As outcomes, we evaluated the 1-year American Shoulder and Elbow Surgeons (ASES) and Constant shoulder scores, postoperative shoulder range of motion, intra- and postoperative complications, and cumulative revision rate. The patients were grouped based on preoperative diagnosis to compare postoperative outcomes across two broad groups. Results: The median follow-up period was 32.8 months (interquartile range, 12.6-66.6 months). The 1-year visual analog scale, range of motion, and Constant and ASES functional scores were comparable between RSAs performed to treat shoulder trauma and that performed for arthritis. The overall complication rate was 20.4%, with patients with a preoperative diagnosis of arthritis having significantly more complications than those with a preoperative diagnosis of trauma (34.8% vs. 7.7%). Conclusions: Patients who underwent RSA due to a proximal humeral fracture or dislocation did not fare worse than those who underwent RSA for arthritis at 1 year, in terms of both functional and radiological outcomes.

The influence of nano-silica on the wear and mechanical performance of vinyl-ester/glass fiber nanocomposites

  • Sokhandani, Navid;Setoodeh, AliReza;Zebarjad, Seyed Mojtaba;Nikbin, Kamran;Wheatley, Greg
    • Advances in nano research
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    • 제13권1호
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    • pp.97-111
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    • 2022
  • In the present article, silica nanoparticles (SNPs) were exploited to improve the tribological and mechanical properties of vinyl ester/glass fiber composites. To the best of our knowledge, there hasn't been any prior study on the wear properties of glass fiber reinforced vinyl ester SiO2 nanocomposites. The wear resistance is a critical concern in many industries which needs to be managed effectively to reduce high costs. To examine the influence of SNPs on the mechanical properties, seven different weight percentages of vinyl ester/nano-silica composites were initially fabricated. Afterward, based on the tensile testing results of the silica nanocomposites, four wt% of SNPs were selected to fabricate a ternary composite composed of vinyl ester/glass fiber/nano-silica using vacuum-assisted resin transfer molding. At the next stage, the tensile, three-point flexural, Charpy impact, and pin-on-disk wear tests were performed on the ternary composites. The fractured surfaces were analyzed by scanning electron microscopy (SEM) images after conducting previous tests. The most important and interesting result of this study was the development of a nanocomposite that exhibited a 52.2% decrease in the mean coefficient of friction (COF) by augmenting the SNPs, which is beneficial for the fabrication/repair of composite/steel energy pipelines as well as hydraulic and pneumatic pipe systems conveying abrasive materials. Moreover, the weight loss due to wearing the ternary composite containing one wt% of SNPs was significantly reduced by 70%. Such enhanced property of the fabricated nanocomposite may also be an important design factor for marine structures, bridges, and transportation of wind turbine blades.

Bubble formation in globe valve and flow characteristics of partially filled pipe water flow

  • Nguyen, Quang Khai;Jung, Kwang Hyo;Lee, Gang Nam;Park, Hyun Jung;To, Peter;Suh, Sung Bu;Lee, Jaeyong
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제13권1호
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    • pp.554-565
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    • 2021
  • Air bubble entrainment is a phenomenon that can significantly reduce the efficiency of liquid motion in piping systems. In the present study, the bubble formation mechanism in a globe valve with 90% water fraction flow is explained by visualization study and pressure oscillation analysis. The shadowgraph imaging technique is applied to illustrate the unsteady flow inside the transparent valve. This helps to study the effect of bubbles induced by the globe valve on pressure distribution and valve flow coefficient. International Society of Automation (ISA) recommends locations for measuring pressure drop of the valve to determine its flow coefficient. This paper presents the comparison of the pressures at different locations along with the upstream and the downstream of the valve with the values at recommended positions by the ISA standard. The results show that in partially filled pipe flow, the discrepancies in pressure between different measurement locations in the valve downstream are significant at valve openings less than 30%. The aerated flow induces the oscillation in pressure and flow rate, which leads to the fluctuation in the flow coefficient of the valve. The flow coefficients have a linear relationship with the Reynolds number. For the same increase of Reynolds number, the flow coefficients grow faster with larger valve openings and level off at the opening of 50%.

YouTube as a source of patient education information for elbow ulnar collateral ligament injuries: a quality control content analysis

  • Yu, Jonathan S;Manzi, Joseph E;Apostolakos, John M;Carr II, James B;Dines, Joshua S
    • Clinics in Shoulder and Elbow
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    • 제25권2호
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    • pp.145-153
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    • 2022
  • Background: While online orthopedic resources are becoming an increasingly popular avenue for patient education, videos on YouTube are not subject to peer review. The purpose of this cross-sectional study was to evaluate the quality of YouTube videos for patient education in ulnar collateral ligament (UCL) injuries of the elbow. Methods: A search of keywords for UCL injury was conducted through the YouTube search engine. Each video was categorized by source and content. Video quality, reliability, and accuracy were assessed by two independent raters using five metrics: (1) Journal of American Medical Association (JAMA) benchmark criteria (range 0-4) for video reliability; (2) modified DISCERN score (range 1-5) for video reliability; (3) Global Quality Score (GQS; range 1-5) for video quality; (4) ulnar collateral ligament-specific score (UCL-SS; range 0-16), a novel score for comprehensiveness of health information presented; and (5) accuracy score (AS; range 1-3) for accuracy. Results: Video content was comprised predominantly of disease-specific information (52%) and surgical technique (33%). The most common video sources were physician (42%) and commercial (23%). The mean JAMA score, modified DISCERN score, GQS, UCL-SS, and AS were 1.8, 2.4, 1.9, 5.3, and 2.7 respectively. Conclusions: Overall, YouTube is not a reliable or high-quality source for patients seeking information regarding UCL injuries, especially with videos uploaded by non-physician sources. The multiplicity of low quality, low reliability, and irrelevant videos can create a cumbersome and even inaccurate learning experience for patients.

Synthesis of ginsenoside Rb1-imprinted magnetic polymer nanoparticles for the extraction and cellular delivery of therapeutic ginsenosides

  • Liu, Kai-Hsi;Lin, Hung-Yin;Thomas, James L.;Shih, Yuan-Pin;Yang, Zhuan-Yi;Chen, Jen-Tsung;Lee, Mei-Hwa
    • Journal of Ginseng Research
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    • 제46권5호
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    • pp.621-627
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    • 2022
  • Background: Panax ginseng (ginseng) is a traditional medicine that is reported to have cardioprotective effects; ginsenosides are the major bioactive compounds in the ginseng root. Methods: Magnetic molecularly imprinted polymer (MMIP) nanoparticles might be useful for both the extraction of the targeted (imprinted) molecules, and for the delivery of those molecules to cells. In this work, plant growth regulators were used to enhance the adventitious rooting of ginseng root callus; imprinted polymeric particles were synthesized for the extraction of ginsenoside Rb1 from root extracts, and then employed for subsequent particle-mediated delivery to cardiomyocytes to mitigate hypoxia/reoxygenation injury. Results: These synthesized composite nanoparticles were first characterized by their specific surface area, adsorption capacity, and magnetization, and then used for the extraction of ginsenoside Rb1 from a crude extract of ginseng roots. The ginsenoside-loaded MMIPs were then shown to have protective effects on mitochondrial membrane potential and cellular viability for H9c2 cells treated with CoCl2 to mimic hypoxia injury. The protective effect of the ginsenosides was assessed by staining with JC-1 dye to monitor the mitochondrial membrane potential. Conclusion: MMIPs can play a dual role in both the extraction and cellular delivery of therapeutic ginsenosides.

Experimental and numerical study of an innovative 4-channels cold-formed steel built-up column under axial compression

  • G, Beulah Gnana Ananthi;Roy, Krishanu;Lim, James B.P.
    • Steel and Composite Structures
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    • 제42권4호
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    • pp.513-538
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    • 2022
  • This paper reports on experiments addressing the buckling and collapse behavior of an innovative built-up cold-formed steel (CFS) columns. The built-up column consists of four individual CFS lipped channels, two of them placed back-to-back at the web using two self-drilling screw fasteners at specified spacing along the column length, while the other two channels were connected flange-to-flange using one self-drilling screw fastener at specified spacing along the column length. In total, 12 experimental tests are reported, covering a wide range of column lengths from stub to slender columns. The initial geometric imperfections and material properties were determined for all test specimens. The effect of screw spacing, load-versus axial shortening behaviour and buckling modes for different lengths and screw spacing were investigated. Nonlinear finite element (FE) models were also developed, which included material nonlinearities and initial geometric imperfections. The FE models were validated against the experimental results, both in terms of axial capacity and failure modes of built-up CFS columns. Furthermore, using the validated FE models, a parametric study was conducted which comprises 324 models to investigate the effect of screw fastener spacing, thicknesses and wide range of lengths on axial capacity of back-to-back and flange-to-flange built-up CFS channel sections. Using both the experimental and FE results, it is shown that design in accordance with the American Iron and Steel Institute (AISI) and Australia/New Zealand (AS/NZS) standards is slightly conservative by 6% on average, while determining the axial capacity of back-to-back and flange-to-flange built-up CFS channel sections.

Modeling of composite MRFs with CFT columns and WF beams

  • Herrera, Ricardo A.;Muhummud, Teerawut;Ricles, James M.;Sause, Richard
    • Steel and Composite Structures
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    • 제43권3호
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    • pp.327-340
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    • 2022
  • A vast amount of experimental and analytical research has been conducted related to the seismic behavior and performance of concrete filled steel tubular (CFT) columns. This research has resulted in a wealth of information on the component behavior. However, analytical and experimental data for structural systems with CFT columns is limited, and the well-known behavior of steel or concrete structures is assumed valid for designing these systems. This paper presents the development of an analytical model for nonlinear analysis of composite moment resisting frame (CFT-MRF) systems with CFT columns and steel wide-flange (WF) beams under seismic loading. The model integrates component models for steel WF beams, CFT columns, connections between CFT columns and WF beams, and CFT panel zones. These component models account for nonlinear behavior due to steel yielding and local buckling in the beams and columns, concrete cracking and crushing in the columns, and yielding of panel zones and connections. Component tests were used to validate the component models. The model for a CFT-MRF considers second order geometric effects from the gravity load bearing system using a lean-on column. The experimental results from the testing of a four-story CFT-MRF test structure are used as a benchmark to validate the modeling procedure. An analytical model of the test structure was created using the modeling procedure and imposed-displacement analyses were used to reproduce the tests with the analytical model of the test structure. Good agreement was found at the global and local level. The model reproduced reasonably well the story shear-story drift response as well as the column, beam and connection moment-rotation response, but overpredicted the inelastic deformation of the panel zone.

기계학습 기반 VNF 최적 배치 예측 기술연구 (Machine Learning-based Optimal VNF Deployment Prediction)

  • 박수현;김희곤;홍지범;유재형;홍원기
    • KNOM Review
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    • 제23권1호
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    • pp.34-42
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    • 2020
  • NFV (Network Function Virtualization) 환경에서는 소프트웨어로 구현된 가상 네트워크 기능 (VNF: Virtualized Network Function)을 범용 서버에 설치하는 것으로 네트워크 기능을 제공한다. 네트워크 관리자는 VNF를 네트워크 토폴로지 상 적절한 위치의 서버에 배치하고 상황에 따라 동적으로 관리함으로써, 다양한 네트워크 상황에 대해 신속하고 유연하게 대응할 수 있다. 하지만 여러 네트워크 조건 (서비스 비용 및 품질) 등을 고려하는 것은 매우 복잡하고 어려운 문제이며, 특히 결정된 배치를 실제 NFV 환경에 적용하는 데는 처리 시간이 소요되기 때문에, 최적의 VNF 배치를 위해서는 필요한 자원량을 예측하여 VNF 배치를 결정하는 것이 필요하다. 본 논문에서는 MEC (Multi-access Edge Computing) 토폴로지에서 서비스 요청을 무작위로 생성하여 ILP (Integer Linear Programming) 모델을 통해 시뮬레이션한 결과를 학습데이터로 사용하는 기계학습 모델을 도출한다. 도출된 예측 모델은 5분 이후의 미래 시점에 대해 ILP 솔루션 결과 대비 90% 이상의 정확도를 보였다.

머신러닝을 이용한 선제적 VNF Live Migration (Proactive Virtual Network Function Live Migration using Machine Learning)

  • 정세연;유재형;홍원기
    • KNOM Review
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    • 제24권1호
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    • pp.1-12
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    • 2021
  • VM (Virtual Machine) live migration은 VM에서 동작하는 서비스의 downtime을 최소화하면서 해당 VM을 다른 서버 노드로 이전시키는 서버 가상화 기술이다. 클라우드 데이터센터에서는 로드밸런싱, 특정 위치 서버로의 consolidation 통한 전력 소비 감소, 서버 유지보수(maintenance) 작업 중에도 사용자에게 무중단 서비스를 제공하기 위한 목적 등으로 VM live migration 기술이 활발히 사용되고 있다. 또한 고장 및 장애 상황이 예측되거나 그 징후가 탐지되는 경우, 예방 및 완화 수단으로 활용될 수 있다. 본 논문에서 우리는 두 가지 선제적(proactive) VNF live migration 방법을 제안하며, 첫 번째 방법은 서버 로드밸런싱에 VNF live migration 기법을 사용하며 두 번째 방법은 고장 예측에 기반하여 고장 회피 목적으로 VNF live migration을 사용한다. 선제적 migration을 위한 예측에 머신러닝(기계학습)을 활용하며 실험을 통해 그 실효성을 검증한다. 특히 두 번째 방법에 대해 vEPC (Virtual Evolved Packet Core)의 고장 상황을 case study한 결과를 제시한다.

NFV 환경에서의 Deep Q-Networks 기반 오토 스케일링 기술 연구 (A study on Deep Q-Networks based Auto-scaling in NFV Environment)

  • 이도영;유재형;홍원기
    • KNOM Review
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    • 제23권2호
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    • pp.1-10
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    • 2020
  • 5G 네트워크의 핵심 기술 중 하나인 네트워크 기능 가상화 (NFV, Network Function Virtualization)는 유연하고 민첩한 네트워크 구축 및 운용을 가능하게 만드는 장점이 있다. 하지만, 한편으로는 수 많은 가상 자원을 생성하기 때문에 네트워크 관리를 복잡하게 만드는 원인이 된다. 일반적으로, NFV 환경에서는 가상 네트워크 기능(VNF, Virtual Network Function)들로 구성된 서비스 펑션 체이닝 (SFC, Service Function Chaining)을 통해 일련의 네트워크 기능들을 트래픽에 적용한다. 따라서 서비스 요구사항을 만족시킬 수 있도록 동적으로 SFC에 알맞은 양의 컴퓨팅 자원 또는 인스턴스를 할당하는 것이 필요하다. 본 논문에서는 SFC에서 적절한 수의 VNF 인스턴스를 운용하기 위해 강화학습 알고리즘의 하나인 Deep Q-Networks (DQN)을 이용한 Auto-scaling 방법을 제안한다. 제안하는 방법은 SFC로 유입되는 트래픽의 증감에 따라 SFC를 구성하는 다계층 (Multi-tier) 구조에서 스케일링(Scaling)이 필요한 계층을 선택하고, 스케일링을 통해 효과적으로 VNF 인스턴스들 개수를 조절한다.