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Outcomes of a non-randomised audit of single pigtail suture stents in urolithiasis management of Asian patients in Singapore

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Asian Journal of Urology 2024年第2期11卷 324-330页

作者： Ee Jean Lim Zhen Wei Choo Reshma Mangat Pradeep durai Sarvajit Biligere Yiquan Tan Loh Hin Yeung Marcus Nicole Andrea Seet Li Ting Chin Tiong Heng Stefania Ferreti Vineet Gauhar Urology Department Singapore General HospitalSingapore Urology Department Tan Tock Seng HospitalSingapore Urology Department Ng Teng Fong HospitalSingapore Urology Department Azienda Ospedaliera-Uiversitaria(Hospital and University of Parma)ParmaItaly

Objective:Double-J(DJ)ureteric stents are commonly placed perioperatively for semirigid or flexible ureteroscopic renal *** is believed that lesser stent material within the bladder mitigates stent-related *** study aimed to evaluate the J-Fil ureteral stent,a single pigtail suture stent compared with conventional DJ stent in relation to stent symptoms in an Asian population undergoing ureterorenal ***:Based on internal audit committee recommendation approval,the records of 50 patients retrieved,available data of 41 patients who were prospectively enrolled into two groups(Group 1[J-Fil stent group],n=21 and Group 2[DJ stent group],n=20)between August 2020 to January 2021,were *** compared were nature of procedure,stone location and size,ease of deployment or removal,and complications.A modified universal stent symptom questionnaire was used to assess morbidity of stent symptoms within 48 h of insertion and at ***:Both groups had similar median age,distribution in male to female ratio,and stone *** overall median universal stent symptom questionnaire score at insertion was similar for bladder pain,flank or loin pain,and quality of life between Group 1 and 2;however,at removal Group 1 fared significantly better than Group 2,especially for flank or loin pain and pain at *** groups had similar ease in insertion with no hospital ***:Our audit favoured the single pigtail suture stent in Asian ureters in mitigating stent-related *** showed a good safety profile with easy deployment and *** promises a new standard in stenting.

关键词： Stent Ureteroscopy Pigtail suture stent Asianpatient Flexible ureteroscopic renal surgery

Globose basal cells for spinal cord regeneration

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Neural Regeneration Research 2017年第11期12卷 1895-1904页

作者： durai Murugan Muniswami Indirani Kanakasabapathy George Tharion Department of Physical Medicine&Rehabilitation Christian Medical CollegeVelloreTamil NaduIndia Department of Anatomy Christian Medical CollegeVelloreTamil NaduIndia

Spinal cord injury （SCI） is a devastating condition with loss of motor and sensory functions below the injury level. Cell based therapies are experimented in pre-clinical studies around the world. Neural stem cells are located intra-craniafly in subventricular zone and hippocampus which are highly invasive sourc- es. The olfactory epithelium is a neurogenic tissue where neurogenesis takes place throughout the adult life by a population of stem/progenitor cells. Easily accessible olfactory neuroepithelial stem/progenitor cells are an attractive cell source for transplantation in SCI. Globose basal cells （GBCs） were isolated from rat olfactory epithelium, characterized by flow cytometry and immunohistochemically. These ceils were further studied for neurosphere formation and neuronal induction. T10 laminectomy was done to create drop-weight SCI in rats. On the 9th day following SCI, 5 × 105 cells were transplanted into injured rat spinal cord. The outcome of transplantation was assessed by the Basso, Beattie and Bresnahan （BBB） locomotor rating scale, motor evoked potential and histological observation. GBCs expressed neural stem cell markers nestin, SOX2, NCAM and also mesenchymal stem cell markers （CD29, CD54, CD90, CD73, CD105）. These cells formed neurosphere, a culture characteristics of NSCs and on induction, differentiated cells expressed neuronal markers ~III tubulin, microtubule-associated protein 2, neuronal nuclei, and neurofilament. GBCs transplanted rats exhibited hindlimb motor recovery as confirmed by BBB score and gastrocnemius muscle electromyography amplitude was increased compared to controls. Green fluorescent protein labelled GBCs survived around the injury epicenter and differentiated into βⅢ tubulin-immunoreactive neuron-like cells. GBCs could be an alternative to NSCs from an accessible source for autologous neurotransplantation after SCI without ethical issues.

关键词： nerve regeneration the Basso, Beattie and Bresnahan (BBB) locomotor scale score BBB score EMG globose basal cells spinal cord injury transplantation neural stem cell marker neural regeneration

Competency Driven Resource Evaluation Method for Business Process Intelligence

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Computers, Materials & Continua 2021年第10期69卷 1141-1157页

作者： Abid Sohail Dhanapal durai Dominic Mohammad Hijji Muhammad Arif Butt Department of Computer Science COMSATS University IslamabadLahorePakistan Universiti Teknologi PETRONAS Bandar Seri IskandarTronoh PerakMalaysia Department of Computer Science University of TabukTabukSaudi Arabia Punjab University College of Information Technology University of the PunjabLahorePakistan

Enterprises are continuously aiming at improving the execution of processes to achieve a competitive *** of the established ways of improving process performance is to assign the most appropriate resources to each task of the ***,evaluations of business process improvement approaches have established that a method that can guide decision-makers to identify the most appropriate resources for a task of process improvement in a structured way,is *** is because the relationship between resources and tasks is less understood and advancement in business process intelligence is also *** address this problem an integrated resource classification framework is presenting that identifies competence,suitability,and preference as the relationship of task with ***,only the competence relationship of human resources with a task is presented in this research as a resource competence ***,the competency calculation method is presented as a user guider layer for business process intelligencebased resource competence *** computed capabilities serve as a basic input for choosing the most appropriate resources for each task of the *** of method is illustrated through a heathcare case study.

关键词： Data sciences artificial intelligence business process management business process improvement process warehouse data warehouse resource competency resource competency modeling health care

CLAY CATALYZED SYNTHESIS OF BIO-DEGRADABLE POLY(GLYCOLIC ACID)

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Chinese Journal of Polymer Science 2008年第4期26卷 393-398页

作者： K.durai Murugan S.Radhika I.Baskaran R.Anbarasan Department of Chemistry S.N.CollegeMadurai-625022Tamil NaduIndia Advanced Nanotechnology Research Laboratory Department of Polymer TechnologyKamaraj College of Engineering and TechnologyVirudhunagar-626001Tamil NaduIndia

Glycolic acid was polymerized under vacuum in the presence and absence of nano sized *** added clay catalyzed the condensation polymerization which can be confirmed by recording FTIR spectroscopy and intrinsic viscosity (Ⅳ)*** relative intensity of C=O/CH is increased while increasing the amount of *** showed the appearance of multiple endotherms of poly(glycolic acid).TGA showed the percentage weight residue remain above 750℃for polymer-nano composite system was 21% and hence proved the fl...

关键词： Synthesis Poly(glycolic acid) Clay FTIR DSC TGA Intrinsic viscosity

An Intelligent Graph Edit Distance-Based Approach for Finding Business Process Similarities

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Computers, Materials & Continua 2021年第12期69卷 3603-3618页

作者： Abid Sohail Ammar Haseeb Mobashar Rehman Dhanapal durai Dominic Muhammad Arif Butt Department of Computer Science COMSATS University IslamabadLahorePakistan Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKamparPerakMalaysia Universiti Teknologi PETRONAS Bandar Seri IskandarTronoh PerakMalaysia Punjab University College of Information Technology University of the PunjabLahorePakistan

There are numerous application areas of computing similarity between process *** includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process *** similarity between two process models is computed based on their similarity between labels,structures,and execution *** attempts have been made to develop similarity techniques between activity labels,as well as their execution ***,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between ***,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural *** that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the ***,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label ***,we have evaluated the proposed approach using our generated collection of process models.

关键词： Machine learning intelligent data management similarities of process models structural metrics dataset graph edit distance process matching artificial intelligence

On building machine learning pipelines for Android malware detection:a procedural survey of practices,challenges and opportunities

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Cybersecurity 2022年第4期5卷 19-55页

作者： Masoud Mehrabi Koushki Ibrahim AbuAlhaol Anandharaju durai Raju Yang Zhou Ronnie Salvador Giagone Huang Shengqiang Huawei Technologies Canada Co. LtdVancouverCanada Huawei Technologies CanadaCo LtdOttawaCanada Simon FraserUniversity BurnabyVancouverCanada uawei Technologies Canada Co. LtdTorontoCanada.

As the smartphone market leader,Android has been a prominent target for malware *** number of malicious applications(apps)identified for it has increased continually over the past decade,creating an immense challenge for all parties *** market holders and researchers,in particular,the large number of samples has made manual malware detection unfeasible,leading to an influx of research that investigate Machine Learning(ML)approaches to automate this ***,while some of the proposed approaches achieve high performance,rapidly evolving Android malware has made them unable to maintain their accuracy over *** has created a need in the community to conduct further research,and build more flexible ML *** so,however,is currently hindered by a lack of systematic overview of the existing literature,to learn from and improve upon the existing *** survey papers often focus only on parts of the ML process(e.g,data collection or model deployment),while omitting other important stages,such as model evaluation and explanation.n this paper,we address this problem with a review of 42 highly-cited papers,spanning a decade of research(from 2011 to 2021).We introduce a novel procedural taxonomy of the published literature,covering how they have used ML algorithms,what features they have engineered,which dimensionality reduction techniques they have employed,what datasets they have employed for training,and what their evaluation and explanation strategies *** from this taxonomy,we also identify gaps in knowledge and provide ideas for improvement and future work.

关键词： Android Machine learning Malware classification Smartphone security Survey Taxonomy

Stock market and macroeconomic variables:new evidence from India

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Financial Innovation 2019年第1期5卷 503-519页

作者： R.Gopinathan S.Raja Sethu durai School of economics shri mata vaishno devi universitykatrajammu&kashmir 182320india school of economics university of hyderabadhyderabadtelangana 500046india

Understanding the relationship between macroeconomic variables and the stock market is important because macroeconomic variables have a systematic effect on stock market *** study uses monthly data from India for the period from April 1994 to July 2018 to examine the long-run relationship between the stock market and macroeconomic *** empirical findings suggest that standard cointegration tests fail to identify any relationship among these ***,a transformation that extracts the actual functional relationship between these variables using the alternating conditional expectations algorithm of(J Am Stat Assoc 80:580–598,1985)identifies strong evidence of cointegration and indicates nonlinearity in the long-run ***,the continuous partial wavelet coherency model identifies strong coherency at a lower frequency for the transformed variables,establishing the fact that the long-run relationship between stock prices and macroeconomic variables in India is nonlinear and *** evidence has far-reaching implications for understanding the dynamic relationships between the stock market and macroeconomic variables.

关键词： Stock prices Nonlinear cointegration Alternating conditional expectations Continuous wavelet transformation

ZiF-Predict:A Web Tool for Predicting DNA-Binding Specificity in C2H2 Zinc Finger Proteins

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Genomics, Proteomics & Bioinformatics 2010年第2期8卷 122-126页

作者： Bhuvan Molparia Kanav Goyal Anita Sarkar Sonu Kumar durai Sundar Department of Biochemical Engineering & Biotechnology Indian Institute of Technology (IIT) Delhi Department of Computer Science and Engineering Indian Institute of Technology (IIT) Delhi

Engineering zinc finger protein motifs for specific DNA targets in genomes is critical in the field of genome engineering. We have developed a computational method for predicting recognition helices for C2H2 zinc fingers that bind to specific target DNA sites. This prediction is based on artificial neural network using an exhaustive dataset of zinc finger proteins and their target DNA triplets. Users can select the option for two or three zinc fingers to be predicted either in a modular or synergistic fashion for the input DNA sequence. This method would be valuable for researchers interested in designing specific zinc finger transcription factors and zinc finger nucleases for several biological and biomedical applications. The web tool ZiF-Predict is available online at http：//***/-sundar/zifpredict/.

关键词： artificial neural network C2H2 zinc fingers ZiF-Predict

Optoelectronic and electrochemical behaviour of γ-CuI thin films prepared by solid iodination process

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Progress in Natural Science:Materials International 2019年第5期29卷 533-540页

作者： Karthik Kumar Chinnakutti Vengatesh Panneerselvam durai Govindarajan Ajith kumar Soman Kuppusami Parasuraman Shyju Thankaraj Salammal Centre of Excellence for Energy Research Sathyabama Institute of Science and Technology Centre for Nanoscience and Nanotechnology Sathyabama Institute of Science and Technology

A simple and efficient solid iodination method has been proposed for the fabrication of p-type γ-CuI thin *** structural,morphological,optical,electrical and electrochemical properties have been investigated in order to serve as an effective hole-transporting layer in solid-state solar *** fabricated films exhibited p-type conductivity with resistivity of 7.0×10;Ωcm,the hole concentration of ～1.13×10;cm;and the mobility of 18.34 cm;V;s;.The cyclic voltammetry result shows a maximum specific capacitance of 43 mF/cm;at a scan rate of 10 mV/*** cyclic stability and capacitance retention were found to be 99.7%.These findings demonstrate that γ-CuI film can be a potential candidate for multiple applications,such as a hole transporting material for solid-state solar cells and electrochemical supercapacitor.

关键词： Copper iodide Solid iodination Hole mobility Cyclic voltammetry