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Hassan, Zohaib,Iqbal, Naeem,Zaman, Abnash Institute of Information Science and Technology 2021 Soft computing and machine intelligence Vol.1 No.1
Analysis and Tracking of bug reports is a challenging field in software repositories mining. It is one of the fundamental ways to explores a large amount of data acquired from defect tracking systems to discover patterns and valuable knowledge about the process of bug triaging. Furthermore, bug data is publically accessible and available of the following systems, such as Bugzilla and JIRA. Moreover, with robust machine learning (ML) techniques, it is quite possible to process and analyze a massive amount of data for extracting underlying patterns, knowledge, and insights. Therefore, it is an interesting area to propose innovative and robust solutions to analyze and track bug reports originating from different open source projects, including Mozilla and Eclipse. This research study presents an ML-based classification model to analyze and track bug defects for enhancing software engineering management (SEM) processes. In this work, Artificial Neural Network (ANN) and Naive Bayesian (NB) classifiers are implemented using open-source bug datasets, such as Mozilla and Eclipse. Furthermore, different evaluation measures are employed to analyze and evaluate the experimental results. Moreover, a comparative analysis is given to compare the experimental results of ANN with NB. The experimental results indicate that the ANN achieved high accuracy compared to the NB. The proposed research study will enhance SEM processes and contribute to the body of knowledge of the data mining field.
Delayed surgical repair of the deltoid following acromioplasty: a case report
Zohaib Sherwani,Chase Kelley,Hassan Farooq,Nickolas G. Garbis 대한견주관절의학회 2022 대한견주관절의학회지 Vol.25 No.4
Currently, the literature contains few studies that describe any potential complications following arthroscopic acromioplasty. Because part of the anterior deltoid originates from the anterior acromion, there is a risk for violation and subsequent iatrogenic rupture or avulsion during this procedure. This type of injury can be a devastating problem for patients that may lead to poor function and debilitating pain. We present a patient with deltoid insufficiency following arthroscopic acromioplasty who elected to proceed with operative management with a planned arthroscopic evaluation of the shoulder followed by an open deltoid repair. At the final follow-up visit 2.5 years postoperatively, the patient reported improved pain from baseline and no residual disability and was able to perform most activities of daily living without difficulty. This case serves as an example of a surgical repair for a deltoid avulsion following arthroscopic acromioplasty. As there is still a lack of standard guidelines, our suture repair technique can be considered one method of treatment for this type of injury.
Jayant Nirmalkar,Zohaib Ul Hassan,Dongju Park,Seil Kim,Jinsang Jung 한국대기환경학회 2021 한국대기환경학회 학술대회논문집 Vol.2021 No.10
The diversity of the bacterial community and chemical composition in fresh snowfall samples has not yet been studied well, despite its importance for human health and climate change. We performed a comprehensive assessment of microbial community structures and chemical characteristics of fresh snowfall samples collected in Daejeon, Republic of Korea during winter 2020-2021. We utilized a cutting-edge genomic next-generation sequencing (NGS) technology to investigate the bacterial community in fresh snow sample. The microbial community classes of the fresh snowfall samples have consisted of three major phyla: Firmicutes (59%), Actinobacteria (30%), and Proteobacteria (8%). The concentration of water-soluble ions including (SO₄<SUP>2-</SUP> and NO₃-), dust tracers (Mg<SUP>2+</SUP> and Ca<SUP>2+</SUP>) and sea salt (Cland Na+), and water-soluble organic carbon were quantified significantly in fresh snowfall samples. The air masses passing over from the Gobi Desert incorporated halotolerant bacteria which are related to Firmicutes, Actinobacteria, and Proteobacteria strains that were potentially influenced by Asian dust, oceanic and urban emissions. Pseudomonas species, which is known as Ice nucleating bacteria in the atmosphere, was measured in fresh snowfall samples at this site.
Comparison of Digital PCR and Quantitative PCR with Various SARS-CoV-2 Primer-Probe Sets
( Changwoo Park ),( Jina Lee ),( Zohaib Ul Hassan ),( Keun Bon Ku ),( Seong-jun Kim ),( Hong Gi Kim ),( Edmond Changkyun Park ),( Gun-soo Park ),( Daeui Park ),( Seung-hwa Baek ),( Dongju Park ),( Jih 한국미생물생명공학회(구 한국산업미생물학회) 2021 Journal of microbiology and biotechnology Vol.31 No.3
The World Health Organization (WHO) has declared the coronavirus disease 2019 (COVID-19) as an international health emergency. Current diagnostic tests are based on the reverse transcription-quantitative polymerase chain reaction (RT-qPCR) method, which is the gold standard test that involves the amplification of viral RNA. However, the RT-qPCR assay has limitations in terms of sensitivity and quantification. In this study, we tested both qPCR and droplet digital PCR (ddPCR) to detect low amounts of viral RNA. The cycle threshold (CT) of the viral RNA by RT-PCR significantly varied according to the sequences of the primer and probe sets with in vitro transcript (IVT) RNA or viral RNA as templates, whereas the copy number of the viral RNA by ddPCR was effectively quantified with IVT RNA, cultured viral RNA, and RNA from clinical samples. Furthermore, the clinical samples were assayed via both methods, and the sensitivity of the ddPCR was determined to be equal to or more than that of the RT-qPCR. However, the ddPCR assay is more suitable for determining the copy number of reference materials. These findings suggest that the qPCR assay with the ddPCR defined reference materials could be used as a highly sensitive and compatible diagnostic method for viral RNA detection.