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Jose Arceo Olague,David Covarrubias Rosales,Jose Luna Rivera 한국전자통신연구원 2006 ETRI Journal Vol.28 No.6
In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-tonoise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiplesource scenarios.
Lin, Guang-Xun,Quillo-Olvera, Javier,Jo, Hyun-Jin,Lee, Hyeong-Jin,Covarrubias-Rosas, Claudia Angelica,Jin, Chengzhen,Kim, Jin-Sung Elsevier 2017 World neurosurgery Vol.106 No.-
<P><B>Objective</B></P> <P>To compare the outcomes between patients older and younger than 65 years who underwent single-level minimally invasive transforaminal interbody fusion (MI-TLIF) surgery.</P> <P><B>Methods</B></P> <P>This study is a retrospective analysis of 76 patients who underwent MI-TLIF between April 2012 and June 2016. Group A consisted of 35 patients (<65 years) and group B consisted of 41 patients (≥65 years). Intraoperative data were recorded. The evaluation of clinical outcomes was based on the visual analog scale for back and leg pain and the Oswestry Disability Index. Radiologic outcomes including cage subsidence, end plate cyst formation, and fusion rate were assessed.</P> <P><B>Results</B></P> <P>The mean age of the study subjects was 65.3 years, and the mean duration of follow-up was 18.98 months. Group B had a higher rate of comorbidities compared with group A (90.24% vs. 57.14%, respectively; <I>P</I> < 0.05). There was no statistically significant difference in the rate of complications between the groups (group A, 14.29%; group B, 17.07%). Clinical outcomes significantly improved in both groups postoperatively (<I>P</I> < 0.05). Although bony fusion in group A was slightly higher than that in group B, the fusion rate was not statistically different according to age. There were no statistically significant differences in the rates of cage subsidence or positive cyst sign between the groups.</P> <P><B>Conclusions</B></P> <P>MI-TLIF presented similar safeness and acceptable outcomes and complication rate in both groups. Cyst formation may be aggravated by cage subsidence, because cage subsidence was a useful potential predictor of cyst formation.</P>
A Web-Based Global Educational Model for Training in Semen Analysis during the COVID-19 Pandemic
Agarwal Ashok,Finelli Renata,Durairajanayagam Damayanthi,Leisegang Kristian,Sharma Rakesh,Gupta Sajal,Singh Neha,Belo Andrea,Darbandi Mahsa,Madani Sarah,Covarrubias Simryn,Darbandi Sara,Sadeghi Raha,P 대한남성과학회 2021 The World Journal of Men's Health Vol.39 No.4
Purpose: In response to the COVID-19 pandemic, the American Center for Reproductive Medicine (ACRM) transitioned its annual training in assisted reproductive technology (ART) from a hands-on, laboratory-based training course to a fully online training endorsed by the American College of Embryology. Here we describe our experience and assess the quality of an online training format based on participant outcomes for the first three modules of a planned series of online ART training. Materials and Methods: These modules included manual semen analysis, sperm morphology and ancillary semen tests (testing for leukocytospermia, sperm vitality, and anti-sperm antibody screening). The virtual format consisted of lecture presentations featuring laboratory protocols with corresponding video demonstrations of routine techniques and best practices. Practical scenarios, troubleshooting, and clinical interpretation of laboratory results were also discussed. At the end of each module, an optional multiple choice question test was held as a prerequisite to obtain certification on the topics presented. Course quality was assessed using participant responses collected via online surveys. Results: The digital delivery methods used were found to have largely or completely met the participants’ expectations for all questions (>85%). The majority (>87%) of the participants either strongly agreed or agreed that the course content was well-structured with appropriate depth, and that their overall expectations of the course had been met. Conclusions: This training format appears to be a realistic teaching option to freely share highly specialized expertise and technical knowledge with participants from anywhere in the world with varying levels of competency or experience.
Ashok Agarwal,Sharma Rakesh,Gupta Sajal,Finelli Renata,Parekh Neel,Selvam Manesh Kumar Panner,Pompeu Camila Pinho,Madani Sarah,Belo Andrea,Darbandi Mahsa,Singh Neha,Darbandi Sara,Covarrubias Simryn,Sa 대한남성과학회 2022 The World Journal of Men's Health Vol.40 No.1
Semen analysis is a basic test for evaluating male fertility potential, as it plays an essential role in driving the future management and treatment of infertility in couples. Manual semen analysis includes the evaluation of both macroscopic and microscopic parameters, whereas automated semen analysis is conducted through a computer-aided sperm analysis system and can include additional parameters that are not evaluated by manual analysis. Both quality control (QC) and quality assurance (QA) are important to ensure reproducible results for semen analysis, and represent fundamental checks and balances of all stages (pre-analytical, analytical, and post-analytical) of semen analysis. To ensure accuracy and precision, the laboratory technicians’ performance should be evaluated biannually. This narrative review aims to describe standardized laboratory procedures for an accurate assessment of semen parameters that incorporate both QC and QA practices.