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Perfusion computed tomography in colorectal cancer:Protocols,clinical applications and emerging trends

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World Journal of Gastroenterology 2009年第26期15卷 3228-3231页

作者： prasanna Ghimire Department of Magnetic Resonance Imaging Zhongnan HospitalWuhan University

Perfusion computed tomography (CT) has emerged as a novel functional imaging technique with gradually increasing importance in the management of colorectal cancer (CRC).By providing the functional tumor microvasculature,it also helps the assessment of therapeutic response of anti-angiogenic drugs as it may reflect tumor *** CT has been applied in clinical practice to delineate inflammatory or neoplastic lymph nodes irrespective of their size,identify micro-metastases and to predict metastases in advance of their *** is of increasing significance for preoperative adjuvant therapies and avoidance of unnecessary *** controversies regarding the techniques employed,its validity and reproducibility,it can be advantageous in the management of CRCs in which the prognosis is dependent on preoperative *** recent advances in the perfusion CT techniques,and incorporation to other modalities like positron emission tomography,perfusion CT will be a novel tool in the overall management of *** article aims at reviewing the existing clinical applications and recent advances of perfusion CT with a reference to future development in the management of CRCs.

关键词： Colorectal cancers Perfusion computed tomography Angiogenesis Neovascularization Micrometastases

Prospecting microbial biofilms as climate smart strategies for improving plant and soil health: A review

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Pedosphere 2023年第1期33卷 129-152页

作者： Kulandaivelu VELMOUROUGANE Shobit THAPA Radha prasanna Division of Crop Production Indian Council of Agricultural Research-Central Institute for Cotton Research(CICR)Nagpur 440010India Indian Council of Agricultural Research-National Bureau of Agriculturally Important Microorganisms KushmaurMau Nath Bhanjan 275103India Division of Microbiology Indian Council of Agricultural Research-Indian Agricultural Research InstituteNew Delhi 110012India

Microbes and their products play key roles in complementing chemical fertilizers and plant protection chemicals by eliciting defence mechanisms in crop plants,thereby providing immunity and resistance against diverse *** the different environmental technologies used to mitigate climate change,several microbiological interventions are promising,among which biofilms,both naturally-existing and laboratory-developed,and their application have gained momentum *** biofilms are aggregations of microbial cells in a self-generated polymeric matrix,which are produced by several genera of bacteria,yeasts,cyanobacteria,and fungi as a mode of reproductive fitness,thereby advantageous in successful proliferation,even in extreme *** propensity of microbial biofilms to grow in diverse niches and adapt to biotic and abiotic stresses illustrates their immense potential as biofertilizers and disease suppression options in various crops across diverse *** the inhospitable habitats of deserts and denudated land,biofilms play an important role in preventing soil erosion and sustaining vegetation,microflora,and *** represent a mode of growth for several microbes with plant growth-promoting and biocontrol potential,which are important in seed establishment and the facilitation of exchanging nutrients and metabolites from the *** this review,we discuss the prospects of microbial biofilms as a green option in agriculture in general and,more specifically,their potential in mitigating climate change.

关键词： biocontrol bioremediation climate change environmental stress nutrient sequestration plant growth promotion

AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias

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Computers, Materials & Continua 2024年第2期78卷 2137-2158页

作者： S.Jayanthi S.prasanna Devi Department of Computer Science and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia

In healthcare,the persistent challenge of arrhythmias,a leading cause of global mortality,has sparked extensive research into the automation of detection using machine learning(ML)***,traditional ML and AutoML approaches have revealed their limitations,notably regarding feature generalization and automation *** glaring research gap has motivated the development of AutoRhythmAI,an innovative solution that integrates both machine and deep learning to revolutionize the diagnosis of *** approach encompasses two distinct pipelines tailored for binary-class and multi-class arrhythmia detection,effectively bridging the gap between data preprocessing and model *** validate our system,we have rigorously tested AutoRhythmAI using a multimodal dataset,surpassing the accuracy achieved using a single dataset and underscoring the robustness of our *** the first pipeline,we employ signal filtering and ML algorithms for preprocessing,followed by data balancing and split for *** second pipeline is dedicated to feature extraction and classification,utilizing deep learning ***,we introduce the‘RRI-convoluted trans-former model’as a novel addition for binary-class *** ensemble-based approach then amalgamates all models,considering their respective weights,resulting in an optimal model *** our study,the VGGRes Model achieved impressive results in multi-class arrhythmia detection,with an accuracy of 97.39%and firm performance in precision(82.13%),recall(31.91%),and F1-score(82.61%).In the binary-class task,the proposed model achieved an outstanding accuracy of 96.60%.These results highlight the effectiveness of our approach in improving arrhythmia detection,with notably high accuracy and well-balanced performance metrics.

关键词： Automated machine learning neural networks deep learning arrhythmias

Understanding nutrient build-up on urban road surfaces

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Journal of Environmental Sciences 2010年第6期22卷 806-812页

作者： Nandika Prasadani Miguntanna Ashantha Goonetilleke prasanna Egodowatta Serge Kokot School of Urban Development Queensland University of Technology School of Physical and Chemical Sciences Queensland University of Technology

This article discusses the outcomes of a research project on nutrients build-up on urban road surfaces. Nutrient build-up was investigated on road sites belonging to residential, industrial and commercial land use. Collected build-up samples were separated into five particle size ranges and were tested for total nitrogen （TN）, total phosphorus （TP） and sub species of nutrients, namely, NO2^-, NO3^-, TKN and PO4^3-. Multivariate analytical techniques were used to analyse the data and to develop detailed understanding on build- up. Data analysis revealed that the solids loads on urban road surfaces are highly influenced by factors such as land use, antecedent dry period and traffic volume. However, the nutrient build-up process was found to be independent of the type of land use. It was solely dependent on the particle size of solids build-up. Most of the nutrients were associated with the particle size range 〈150 μm. Therefore, the removal of particles below 150 μm from road surfaces is of importance for the removal of nitrogen and phosphorus from road surface solids build-up. It is also important to consider the difference in the composition of nitrogen and phosphorus build-up in the context of designing effective stormwater quality mitigation strategies.

关键词： nutrient pollution pollutant build-up stormwater pollution

Optimized Model Based Controller with Model Plant Mismatch for NMP Mitigation in Boost Converter

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Computer Systems Science & Engineering 2023年第8期46卷 1961-1979页

作者： R.prasanna Uma Govindarajan NSBhuvaneswari Department of Electrical and Electronics Engineering Power System DivisionCollege of Engineering GuindyAnna UniversityChennai600025India Department of Electrical and Electronics Engineering GKM College of Engineering and TechnologyChennai600063India

In this paper,an optimized Genetic Algorithm(GA)based internal model controller-proportional integral derivative(IMC-PID)controller has been designed for the control variable to output variable transfer function of dc-dc boost converter to mitigate the effect of non-minimum phase(NMP)behavior due to the presence of a right-half plane zero(RHPZ).This RHPZ limits the dynamic performance of the converter and leads to internal *** IMC PID is a streamlined counterpart of the standard feedback controller and easily achieves optimal set point and load change performance with a single filter tuning parameterλ.Also,this paper addresses the influences of the model-based controller with model plant mismatch on the closed-loop *** conventional IMC PID design is realized as an optimization problem with a resilient controller being determined through a genetic *** results suggested that GA–IMC PID coheres to the optimum designs with a fast convergence rate and outperforms conventional IMC PID controllers.

关键词： Boost converter non-minimum phase internal model control dynamic controller

Information gathering and processing with fluorescent molecules

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Frontiers of Chemical Science and Engineering 2014年第2期8卷 240-251页

作者： Brian DALY Jue LING A. prasanna de SILVA School of Chemistry and Chemical Engineering Queen's University Belfast BT9 5AG Northern Ireland

Molecular information gathering and proces- sing -- a young field of applied chemistry -- is undergoing good growth. The progress is occurring both in terms of conceptual development and in terms of the strengthening of older concepts with new examples. This review critically surveys these two broad avenues. We consider some cases where molecules emulate one of the building blocks of electronic logic gates. We then examine molecular emulation of various Boolean logic gates carrying one, two or three inputs. Some single-input gates are popular information gathering devices. Special systems, such as ＇lab-on-a-molecule＇ and molecular key- pad locks, also receive attention. A situation deviating from the Boolean blueprint is also discussed. Some pointers are offered for maintaining the upward curve of the field.

关键词： molecular logic molecular computation,molecular sensor fluorescent molecular device fluorescentsensor

Quantitative bioanalytical and analytical method development of dibenzazepine derivative, carbamazepine: A review

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Journal of Pharmaceutical Analysis 2015年第4期5卷 213-222页

作者： prasanna A.Datar Department of Pharmaceutical Chemistry Sinhgad Institute of Pharmacy

Bioanalytical methods are widely used for quantitative estimation of drugs and their metabolites in physiological matrices. These methods could be applied to studies in areas of human clinical pharma- cology and toxicology. The major bioanalytical services are method development, method validation and sample analysis （method application）. Various methods such as GC, LC-MS/MS, HPLC, HPTLC, micellar electrokinetic chromatography, and UFLC have been used in laboratories for the qualitative and quan- titative analysis of carbamazepine in biological samples throughout all phases of clinical research and quality control. The article incorporates various reported methods developed to help analysts in choosing crucial parameters for new method development of carbamazepine and its derivatives and also enu- merates metabolites, and impurities reported so far.

关键词： C.arbamazepineHPLCLC-MS/MSHPTLCRP-UFLCMicellar electrokinetic chromatography

The dark face of fructose as a tumor promoter

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Genes & Diseases 2020年第2期7卷 163-165页

作者： prasanna K.Santhekadur Department of Biochemistry Center of Excellence in Molecular Biology&Regenerative MedicineJSS Medical CollegeJSS Academy of Higher Education and ResearchSri Shivarathreeshwara NagarMysore570015KarnatakaIndia

Fructose,an essential biomolecule and it is a major ingredient of the modern diet across the *** consumption of fructose may be a key driver of many serious diseases such as obesity,heart diseases,type 2 diabetes and *** the metabolism of fructose,molecular mechanisms of its toxic nature will aid in the treatment of various diseases including cancer.

关键词： cancer. metabolism diseases

Derived signals for S&P CNX nifty index futures

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Financial Innovation 2017年第1期3卷 281-302页

作者： B.prasanna Kumar Department of Economics Davangere University P.G.CentreGuddadarangavvanhalliChitradurgaKarnataka 577502India

Background:The financial futures market in India is relatively *** major advantage of derivatives as financial products is that their use minimizes the risks associated with ***,hedging effectiveness requires understanding key market signals such as trading margins,credit availability,and price ***:This study considers the Standard&Poor’s CNX Nifty 50 Index futures for data analysis with the application of V-IGARCH(1,1)two-stage *** purpose for V-IGARCH(1,1)is used to observe the positive effects of credit availability on the variance of futures *** first stage V-IGARCH(1,1)endogenous mean and conditional variance returns are measured with exogenous factors from the second stage V-IGARCH(1,1)*** second stage V-IGARCH(1,1)models specify the market participants’exogenous conditional probabilistic values for ***:In the first stage,it was observed that returns and trading margins,as well as credit availability,were cointegrated,thereby indicating a long-term relationship between *** the first stage of the V-IGARCH(1,1)model,heteroscedasticity with the mean returns through residuals was observed,where the estimated coefficients were *** finding indicated that maximizing returns requires efficient use of trading margins as well as availability of credit *** the second stage regression estimation,it was observed that trading prices and total money supply were directly related,and thus had direct effects on *** total money supply increased gradually until the last trading *** the conditional variance equation,total money supply was related negatively to the availability of credit for market *** these circumstances,the efficient interbank call interest rate was necessary to maintain the trading *** effect,efficient Nifty returns would be ***:This study found that trading margins,credit availability,and price discreteness affect the v

关键词： Signals Credit Margin Discreteness Nifty Returns