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Nida Jareemit,Navin Horthongkham,Suwanit Therasakvichya,Boonlert Viriyapak,Perapong Inthasorn,Mongkol Benjapibal,Vuthinun Achariyapota,Irene Ruengkhachorn 대한산부인과학회 2022 Obstetrics & Gynecology Science Vol.65 No.4
영어 ObjectiveTo investigate the distribution of human papillomavirus (HPV) genotypes in low-grade squamous intraepithelial lesion(LSIL) cytology and the immediate risk of cervical intraepithelial neoplasia grade 2 or higher (CIN2+) lesions. MethodsThis prospective cross-sectional study enrolled women aged ≥21 years that were diagnosed with LSIL cytology at SirirajHospital (Bangkok, Thailand) during 2017-2019. Anyplex II HPV testing was performed to detect 14 high-risk HPVcases prior to colposcopy-directed biopsy. ResultsIn total, 318 patients were included in the final analysis. Of those, 24 (7.5%), 241 (75.8%), 53 (16.7%) were aged 21-25 years, 25-50 years, and ≥50 years, respectively. Eighty-two patients (25.8%) had abnormal screening results withinthe previous 5 years. High-risk HPV infection was found in 188 patients (59.1%) with 127 (39.9%) having single and61 (19.2%) having multiple infections. The five most common HPV genotypes were HPV 66 (18.6%), HPV51 (9.7%),HPV58 (9.4%), HPV16 (9.1%), and HPV56 (8.2%). The immediate risk of CIN2+ was 6% in LSIL, regardless of the HPVstatus, 8% in high-risk HPV-positive LSIL, and 3.1% in high-risk HPV-negative LSIL. When using 6% as the thresholdrisk for colposcopy, performing reflex HPV testing in LSIL cytology can decrease the number of colposcopies by 40.9%,with an area under the receiver operating characteristic curve of 0.6 (95% confidence interval, 0.5-0.7). ConclusionThe study findings support the idea that geographic variations affect the HPV genotype. Reflex HPV testing maydecrease the number of colposcopies in cytology-based screening regions with a high prevalence of low-carcinogenicHPV.
Maximum Likelihood SNR Estimation for QAM Signals Over Slow Flat Fading Rayleigh Channel
( Nida Ishtiaq ),( Shahzad A. Sheikh ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.11
Estimation of signal-to-noise ratio (SNR) is an important problem in wireless communication systems. It has been studied for various constellation types and channels using different estimation techniques. Maximum likelihood estimation is a technique which provides efficient and in most cases unbiased estimators. In this paper, we have applied maximum likelihood estimation for systems employing square or cross QAM signals which are undergoing slow flat Rayleigh fading. The problem has been considered under various scenarios like data-aided (DA), non-data-aided (NDA) and partially data-aided (PDA) and the performance of each type of estimator has been evaluated and compared. It has been observed that the performance of DA estimator is best due to usage of pilot symbols, with the drawback of greater bandwidth consumption. However, this can be catered for by using partially data-aided estimators whose performance is better than NDA systems with some extra bandwidth requirement.
Electrophoretic deposition of PVA coated hydroxyapatite on 316L stainless steel
Nida Iqbal,Rabia Nazir,Anila Asif,Aqif Anwar Chaudhry,Muhammad Akram,Goh Yi Fan,Aftab Akram,Rashid Amin,박성하,Rafaqat Hussain 한국물리학회 2012 Current Applied Physics Vol.12 No.3
Polyvinyl alcohol (PVA) coated hydroxyapatite was deposited onto a 316L stainless steel substrate by electrophoretic deposition. Deposition was carried out in a methanol suspension at pH 5.5 using a graphite rod as an anode. Parameters such as PVA concentration, deposition voltage and time were optimized to achieve a homogeneous, crack-free adhesive coating. Techniques such as X-ray diffraction and Fourier transform infrared spectroscopy were used to study the phase composition of the coated materials and the stability of hydroxyapatite in the presence of PVA.
Farshori, Nida Nayyar,Al-Sheddi, Ebtesam Saad,Al-Oqail, Mai Mohammad,Musarrat, Javed,Al-Khedhairy, Abdulaziz Ali,Siddiqui, Maqsood Ahmed Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.16
The Pharmacological potential, such as antioxidant, anti-inflammatory, and antibacterial activities of Portulaca oleracea (PO) and Petroselinum sativum (PS) extracts are well known. However, the preventive properties against hepatocellular carcinoma cells have not been explored so far. Therefore, the present investigation was designed to study the anticancer activity of seed extracts of PO and PS on the human hepatocellular carcinoma cells (HepG2). The HepG2 cells were exposed with $5-500{\mu}g/ml$ of PO and PS for 24 h. After the exposure, cell viability by 3-(4,5-dimethylthiazol-2yl)-2,5-biphenyl tetrazolium bromide (MTT) assay, neutral red uptake (NRU) assay, and cellular morphology by phase contrast inverted microscope were studied. The results showed that PO and PS extracts significantly reduced the cell viability of HepG2 in a concentration dependent manner. The cell viability was recorded to be 67%, 31%, 21%, and 17% at 50, 100, 250, and $500{\mu}g/ml$ of PO, respectively by MTT assay and 91%, 62%, 27%, and 18% at 50, 100, 250, and $500{\mu}g/ml$ of PO, respectively by NRU assay. PS exposed HepG2 cells with $100{\mu}g/ml$ and higher concentrations were also found to be cytotoxic. The decrease in the cell viability at 100, 250, and $500{\mu}g/ml$ of PS was recorded as 70%, 33%, and 15% by MTT assay and 63%, 29%, and 17%, respectively by NRU assay. Results also showed that PO and PS exposed cells reduced the normal morphology and adhesion capacity of HepG2 cells. HepG2 cells exposed with $50{\mu}g/ml$ and higher concentrations of PO and PS lost their typical morphology, become smaller in size, and appeared in rounded bodies. Our results demonstrated preliminary screening of anticancer activity of Portulaca oleracea and Petroselinum sativum extracts against HepG2 cells, which can be further used for the development of a potential therapeutic anticancer agent.
Video augmentation technique for human action recognition using genetic algorithm
Nudrat Nida,Muhammad Haroon Yousaf,Aun Irtaza,Sergio A. Velastin 한국전자통신연구원 2022 ETRI Journal Vol.44 No.2
Classification models for human action recognition require robust features and large training sets for good generalization. However, data augmentation methods are employed for imbalanced training sets to achieve higher accuracy. These samples generated using data augmentation only reflect existing samples within the training set, their feature representations are less diverse and hence, contribute to less precise classification. This paper presents new data augmentation and action representation approaches to grow training sets. The proposed approach is based on two fundamental concepts: virtual video generation for augmentation and representation of the action videos through robust features. Virtual videos are generated from the motion history templates of action videos, which are convolved using a convolutional neural network, to generate deep features. Furthermore, by observing an objective function of the genetic algorithm, the spatiotemporal features of different samples are combined, to generate the representations of the virtual videos and then classified through an extreme learning machine classifier on MuHAVi-Uncut, iXMAS, and IAVID-1 datasets.