Live birth outcomes of vitrified embryos generated under growth hormone stimulation are improved for women categorized as poor-prognosis

Keane, Kevin N,Ye, Yun,Hinchliffe, Peter M,Regan, Sheena LP,Dhaliwal, Satvinder S,Yovich, John L The Korean Society for Reproductive Medicine 2019 Clinical and Experimental Reproductive Medicine Vol.46 No.4

Objective: To determine the clinical pregnancy (CP) and live birth (LB) rates arising from frozen embryo transfers (FETs) that had been generated under the influence of in vitro fertilization (IVF) adjuvants given to women categorized as poor-prognosis. Methods: A registered, single-center, retrospective study. A total of 1,119 patients with first FETs cycle include 310 patients with poor prognosis (109 treated with growth hormone [GH], (+)GH group vs. 201 treated with dehydroepiandrosterone, (-)GH group) and 809 patients with good prognosis (as control, (-)Adj (Good) group). Results: The poor-prognosis women were significantly older, with a lower ovarian reserve than the (-)Adj (Good) group, and demonstrated lower chances of CP (p< 0.005) and LB (p< 0.005). After adjusting for confounders, the chances of both CP and LB in the (+)GH group were not significantly different from those in the (-)Adj (Good) group, indicating that the poor-prognosis patients given GH had similar outcomes to those with a good prognosis. Furthermore, the likelihood of LB was significantly higher for poor-prognosis women given GH than for those who did not receive GH (p< 0.028). This was further confirmed in age-matched analyses. Conclusion: The embryos cryopreserved from fresh IVF cycles in which adjuvant GH had been administered to women classified as poor-prognosis showed a significant 2.7-fold higher LB rate in subsequent FET cycles than a matched poor-prognosis group. The women with a poor prognosis who were treated with GH had LB outcomes equivalent to those with a good prognosis. We therefore postulate that GH improves some aspect of oocyte quality that confers improved competency for implantation.

A Systematic Review of the Effectiveness of Medical Cannabis for Psychiatric, Movement and Neurodegenerative Disorders

Keane Lim,Yuen Mei See,Jimmy Lee 대한정신약물학회 2017 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.15 No.4

The discovery of endocannabinoid’s role within the central nervous system and its potential therapeutic benefits have brought forth rising interest in the use of cannabis for medical purposes. The present review aimed to synthesize and evaluate the available evidences on the efficacy of cannabis and its derivatives for psychiatric, neurodegenerative and movement disorders. A systematic search of randomized controlled trials of cannabis and its derivatives were conducted via databases (PubMed, Embase and the Cochrane Central Register of Controlled Trials). A total of 24 reports that evaluated the use of medical cannabis for Alzheimer’s disease, anorexia nervosa, anxiety, dementia, dystonia, Huntington’s disease, Parkinson’s disease, post-traumatic stress disorder (PTSD), psychosis and Tourette syndrome were included in this review. Trial quality was assessed with the Cochrane risk of bias tool. There is a lack of evidence on the therapeutic effects of cannabinoids for amyotrophic lateral sclerosis and dystonia. Although trials with positive findings were identified for anorexia nervosa, anxiety, PTSD, psychotic symptoms, agitation in Alzheimer’s disease and dementia, Huntington’s disease, and Tourette syndrome, and dyskinesia in Parkinson’s disease, definitive conclusion on its efficacy could not be drawn. Evaluation of these low-quality trials, as rated on the Cochrane risk of bias tools, was challenged by methodological issues such as inadequate description of allocation concealment, blinding and underpowered sample size. More adequately powered controlled trials that examine the long and short term efficacy, safety and tolerability of cannabis for medical use, and the mechanisms underpinning the therapeutic potential are warranted.

Hong, Y. (2017). Networking China

Michael Keane 한국언론학회 2017 Asian Communication Research Vol.14 No.1

Robust design optimization using surrogate models

Andy J. Keane,Ivan I. Voutchkov 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.1

The use of surrogate models (response surface models, curve fits) of various types (radial basis functions, Gaussian process models, neural networks, support vector machines, etc.) is now an accepted way for speeding up design search and optimization in many fields of engineering that require the use of expensive computer simulations, including problems with multiple goals and multiple domains. Surrogates are also widely used in dealing with uncertainty quantification of expensive black-box codes where there are strict limits on the number of function evaluations that can be afforded in estimating the statistical properties of derived performance quantities. Here, we tackle the problem of robust design optimization from the direction of Gaussian process models (Kriging). We contrast two previously studied models, co-Kriging and combined Kriging (sometimes called level 1 Kriging), and propose a new combined approach called combined co-Kriging that attempts to make best use of the key ideas present in these methods.

(Re-) Meshing using interpolative mapping and control point optimization

Voutchkov, Ivan,Keane, Andy,Shahpar, Shahrokh,Bates, Ron Society for Computational Design and Engineering 2018 Journal of computational design and engineering Vol.5 No.3

This work proposes a simple and fast approach for re-meshing the surfaces of smooth-featured geometries prior to CFD analysis. The aim is to improve mesh quality and thus the convergence and accuracy of the CFD analysis. The method is based on constructing an interpolant based on the geometry shape and then mapping a regular rectangular grid to the shape of the original geometry using that interpolant. Depending on the selected interpolation algorithm the process takes from less than a second to several minutes. The main interpolant discussed in this article is a Radial Basis Function with cubic spline basis, however other algorithms are also compared. The mesh can be optimized further using active (flexible) control points and optimization algorithms. A range of objective functions are discussed and demonstrated. The difference between re-interpolated and original meshes produces a metric function which is indicative of the mesh quality. It is shown that the method works for flat 2D surfaces, 3D surfaces and volumes.

Intelligent techniques and optimization algorithms in textile colour management: a systematic review of applications and prediction accuracy

Senbiao Liu,Yaohui Keane Liu,Kwan-yu Chris Lo,Chi-wai Kan 한국의류학회 2024 Fashion and Textiles Vol.11 No.1

Based on a selection of 101 articles published from 2013 to 2022, this study systematically reviews the application of intelligent techniques and optimization algorithms in textile colour management. Specifically, the study explores how these techniques have been applied to four subfields within textile colour management: colour matching and prediction, colour difference detection and assessment, colour recognition and segmentation, and dye solution concentration and decolourization. Following an introduction to intelligent techniques and optimization algorithms in textile colour management, the study describes the specific applications of these techniques in the field over the past decade. Descriptive statistics are used to analyse trends in the use of these techniques and optimization algorithms, and comparative performances indicate the effectiveness of the techniques and algorithms. The study finds that the primary intelligent techniques used in the field of textile colour management include artificial neural networks (ANN), support vector machines (SVM) such as SVM, LSSVM, LSSVR, SLSSVR, FWSVR, fuzzy logic (FL) and adaptive neuro-fuzzy inference systems (ANFIS), clustering algorithms (e.g., K-means, FCM, X-means algorithms), and extreme learning machines (ELM) such as ELM, OSLEM, KELM, RELM. The main optimization algorithms used include response surface methodology (RSM), genetic algorithms (GA), particle swarm optimization (PSO), and differential evolution (DE). Finally, the study proposes a comparison of the performance of intelligent techniques and optimization algorithms, summarizes the relevant research trends, and suggests future research opportunities and directions, besides stating the limitations of this paper.

(Re-) Meshing using interpolative mapping and control point optimization

Ivan Voutchkov,Andy Keane,Shahrokh Shahpar,Ron Bates 한국CDE학회 2018 Journal of computational design and engineering Vol.5 No.3

This work proposes a simple and fast approach for re-meshing the surfaces of smooth-featured geome-tries prior to CFD analysis. The aim is to improve mesh quality and thus the convergence and accuracy of the CFD analysis. The method is based on constructing an interpolant based on the geometry shape and then mapping a regular rectangular grid to the shape of the original geometry using that interpolant. Depending on the selected interpolation algorithm the process takes from less than a second to several minutes. The main interpolant discussed in this article is a Radial Basis Function with cubic spline basis, however other algorithms are also compared. The mesh can be optimized further using active (flexible) control points and optimization algorithms. A range of objective functions are discussed and demon-strated. The difference between re-interpolated and original meshes produces a metric function which is indicative of the mesh quality. It is shown that the method works for flat 2D surfaces, 3D surfaces and volumes.

Major Pelvic Bleeding Following a Stapled Transanal Rectal Resection: Use of Laparoscopy as a Diagnostic Tool

Giovanni Domenico Tebala,Abdul Qayyum Khan,Sean Keane 대한대장항문학회 2016 Annals of Coloproctolgy Vol.32 No.5

Stapled transanal rectal resection (STARR) and stapled hemorrhoidopexy (SH) are well-established techniques for treating rectal prolapse and obstructed defecation syndrome (ODS). Occasionally, they can be associated with severe complications. We describe the case of a 59-year-old woman who underwent STARR for ODS and developed a postoperative pelvic hemorrhage. A computed tomography (CT) scan revealed a vast pelvic, retroperitoneal hematoma and free gas in the abdomen. Laparoscopy ruled out any bowel lesions, but identified a hematoma of the pelvis. Flexible sigmoidoscopy showed a small leakage of the rectal suture. The patient was treated conservatively and recovered completely. Surgeons performing STARR and SH must be aware of the risk of this rare, but severe, complication. If the patient is not progressing after a STARR or SH, a CT scan can be indicated to rule out intra-abdominal and pelvic hemorrhage. Laparoscopy is a diagnostic tool and should be associated with intraluminal exploration with flexible sigmoidoscopy.

Prediction of the Shelter Dog Outcome using Machine Learning Models

Ye-Seol Lee(이예슬),Se-Hoon Lee(이세훈),John Keane(존킨) 한국컴퓨터정보학회 2020 한국컴퓨터정보학회 학술발표논문집 Vol.28 No.2

HST Observations of the Dwarf Spheroidal Galaxy Leo I

Myung-Gyoon Lee,M. Mateo,E. Oslzewski,A. Saha,P. Hodge,M. Keane,N. Suntzeff,W. Freedman,I. Thompson 한국천문학회 1995 天文學會報 Vol.20 No.-