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RISS 인기검색어
- 검색키워드
- 저자 : Sana Mansoor (검색결과 5 건)
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Mansoor, Sana,Maheshwari, Anshu,Guglielmo, Matthew Di,Furuya, Katryn,Wang, Makala,Crowgey, Erin,Molle-Rios, Zarela,He, Zhaoping The Korean Society of Pediatric Gastroenterology 2021 Pediatric gastroenterology, hepatology & nutrition Vol.24 No.5
Purpose: The rs641738 C>T in membrane-bound O-acyltransferase domain-containing protein 7 (MBOAT7) is implicated, along with the rs738409 C>G polymorphism in patatin-like phospholipase domain-containing protein 3 (PNPLA3), in nonalcoholic fatty liver disease (NAFLD). The association of these polymorphisms and NAFLD are investigated in Hispanic children with obesity. Methods: Obese children with and without NAFLD were enrolled at a pediatric tertiary care health system and genotyped for MBOAT7 rs641738 C>T and PNPLA3 rs738409 C>G. NAFLD was characterized by the ultrasonographic presence of hepatic steatosis along with persistently elevated liver enzymes. Genetic variants and demographic and biochemical data were analyzed for the effects on NAFLD. Results: Among 126 enrolled subjects, 84 in the case group had NAFLD and 42 in the control group did not. The two groups had similar demographic distribution. NAFLD was associated with abnormal liver enzymes and elevated triglycerides and cholesterol (p<0.05). Children with NAFLD had higher percentage of PNPLA3 GG genotype at 70.2% versus 31.0% in non-NAFLD, and lower MBOAT7 TT genotype at 4.8% versus 16.7% in non-NAFLD (p<0.05). PNPLA3 rs738409 C>G had an additive effect in NAFLD; however, MBOAT7 rs641738 C>T had no effects alone or synergistically with PNPLA3 polymorphism. NAFLD risk increased 3.7-fold in subjects carrying PNPLA3 GG genotype and decreased in MBOAT7 TT genotype. Conclusion: In Hispanic children with obesity, PNPLA3 rs738409 C>G polymorphism increased the risk for NAFLD. The role of MBOAT7 rs641738 variant in NAFLD is less evident.
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Estimation of Dominant Bacterial Species in a Bench-Scale Shipboard Sewage Treatment Plant
( Sana Mansoor ),( Hyeon-jo Ji ),( Dae-yeol Shin ),( Byung-gil Jung ),( Young-ik Choi ) 한국환경과학회 2019 한국환경과학회지 Vol.28 No.10
Recently, an innovative method for wastewater treatment and nutrient removal was developed by combining the sequence batch reactor and membrane bioreactor to overcome pollution caused by shipboard sewage. This system is a modified form of the activated sludge process and involves repeated cycles of mixing and aeration. In the present study, the bacterial diversity and dominant microbial community in this wastewater treatment system were studied using the MACROGEN next generation sequencing technique. A high diversity of bacteria was observed in anaerobic and aerobic bioreactors, with approximately 486 species. Microbial diversity and the presence of beneficial species are crucial for an effective biological shipboard wastewater treatment system. The Arcobacter genus was dominant in the anaerobic tank, which mainly contained Arcobacter lanthieri (8.24%), followed by Acinetobacter jahnsonii (5.81%). However, the dominant bacterial species in the aerobic bioreactor were Terrimonas lutea (7.24%) and Rubrivivax gelatinosus (4.95%).
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Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning
Mansoor Ahmed Bhatti,Rabia Riaz,Sana Shokat,Farina Riaz,Se Jin Kwon 한국통신학회 2020 Journal of communications and networks Vol.22 No.3
In Internet of things (IoT) millions of devices are intelligently connected for providing smart services. Especially in indoor localization environment, that is one of the most concerningtopic of smart cities, internet of things and wireless sensor networks. Many technologies are being used for localization purposein indoor environment and Wi-Fi using received signal strengths(RSSs) is one of them. Wi-Fi RSSs are sensitive to reflection, refraction, interference and channel noise that cause irregularity insignal strengths. The irregular and anomalous RSS values, used ina Wi-Fi indoor localization environment, cannot define the locationof any unknown node correctly. Therefore, this research has developed an outlier detection technique named as iF_Ensemblefor Wi-Fi indoor localization environment by analyzing RSSs using the combination of supervised, unsupervised and ensemble machine learning methods. In this research isolation forest (iForest)is used as an unsupervised learning method. Supervised learningmethod includes support vector machine (SVM), K-nearest neighbor (KNN) and random forest (RF) classifiers with stacking thatis an ensemble learning method. For the evaluation purpose accuracy, precision, recall, F-score and ROC-AUC curve are used. Theevaluation of used machine learning method provides high accuracy of 97.8 percent with proposed outlier detection methods andalmost 2 percent improvement in the accuracy of localization process in indoor environment after eliminating outliers.
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SBR 및 MBR 복합공정을 적용한 Bench-scale Shipboard STP에서의 미생물 우점종에 관한 연구
최영익,신대열,사나 만수르(Sana Mansoor),권민지,정진희,정병길 한국환경기술학회 2018 한국환경기술학회지 Vol.19 No.6
International Maritime Organization (IMO) is one of the most effective organizations in evolving international law for the protection and conservation of the marine environment. The IMO, MARPOL(Marine Pollution) 73/78 contains six Annexes that provide an overarching framework for the objectives of the international marine pollution. Annex IV was regulated by 64 th resolution in 2012 to control sea pollution from sewage. In 2014 large-scale wastewater treatment and nutrient removal device was developed with a grant from the Ministry of Oceans and Fisheries. A combined new process of Sequence Batch Reactor (SBR) and Membrane Bioreactor(MBR) was developed to overcome the pollution caused by shipboard sewage. In the present study, shipboard sewage wastewater was treated by mixing and aeration cycle in the newly developed SBR process. Furthermore, during analysis by NGS technique(Macrogen Co., Ltd.), dominant species of bacteria were found in the aeration tank of the Bench-scale wastewater treatment facility. Bacteroidetes and Gammaproteobacteria accounted for 27.1 % of the aerobicbacteria and 16.8 % of the anaerobicbacteria, respectively. Microorganisms play a vital role in shipboard wastewater treatment. A further detailed study is required to understand the precise role of the microorganisms in the wastewater treatment. 국제 해사기구 (IMO)에서 MARPOL 73/78은 조문과 여섯 개의 부속서로 구성되어 있다. Annex Ⅳ는 선박의 하수를 규제한다. 2012년 제 64회 결의안에서 선박에서 배출되는 하수 중 영양염류를 제거하도록 규제하였다. 2014년 해양수산부의 지원으로 영양염류를 제거 할 수 있는 대용량 폐수처리 장치를 개발하였다. Sequence Batch Reactor (SBR)와 Membrane Bio Reactor (MBR)를 결합한 새로운 공정이 개발되었다. 현존하는 SBR 공정의 사이클에서는 침전을 제외하고 통기 및 교반만을 사용하였고, 상기 막은 처리 된 물을 배출 시키는데 사용하였다. 본 연구에서는 MACROGEN 사의 NGS 분석 기술을 이용하여 Bench 규모 폐수처리 설비를 이용한 하수처리장 원수를 처리하기 위한 최적 운전조건에서 폭기조 내 미생물의 우점종을 분석하였다. 그 결과 Bacteroidetes는 호기성 박테리아의 27.1 %를 차지했으며 Gammaproteobacteria는 혐기성 박테리아의 16.8 %를 차지하였다. Operational taxonomic unit ratio에 Others 항목이 차지하는 비율도 상당하다고 볼 수 있는데 기존의 오수처리를 위해 필요했던 미생물 외에 아직 NCBI (National center for Biotechnology Information)에 등록되지 않은 미생물일 가능성이 있어 추후 연구가 필요하다고 판단된다.
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