373 research outputs found
AAN882870 Research Data - Supplemental material for Adult tetralogy repair: factors affecting early outcome in the current era
No full textSupplemental material, AAN882870 Research Data for Adult tetralogy repair: factors affecting early outcome in the current era by Sowmya Ramanan, Navaneetha Sasikumar, Krishna Manohar, Salla Sweta Ramani, RaghavanNair Suresh Kumar , Ravi Agarwal, Raghavan Subramanyam and Kotturathu Mammen Cherian in Asian Cardiovascular and Thoracic Annals</p
Stress concentrations due to countersunk holes in adhesively bonded bi-layered aluminum subjected to tensile loading
No full textThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Aerospace Engineering.The adhesively bonded layered aluminum is used in aircraft structures to avoid knife edge situations when flush head fasteners are used with minimum gage skins. Due to the countersunk hole and adhesive bonding, stress flow becomes more complicated. Extensive knowledge of the different parameters that affect the behavior of the bonded joints with countersunk holes is essential for dependable and effective design. A 3-D finite element model was used to estimate the location and magnitude of stress concentration under remote tension for the aforementioned problem.
The influence of the various parameters on stress concentration was investigated for a counter sunk angle of 100º. Different parameters such as ratio of young‟s modulus of adhesive to aluminum, position of adhesive layer, countersunk sunk depths, ratio of thickness to radius and ratio of width to radius have been addressed in this study.
The stress flow varies significantly when the plates are filled with fasteners of different pre-tension loads. Also the effects of pre-tension loading were compared for the cases of open hole and fastener filled hole without pre-tension for bonded, monolithic and straight shank hole. The results obtained from the finite element analysis for the monolithic cases have been validated against those reported in literature
Microbial Source Tracking Analysis of Fecal Pollution in Galveston, Texas Recreational Waters
No full textFecal contamination impacts water quality along the coast of Texas by threatening ecosystem services and human health. The beach areas of Galveston, Texas are heavily used for recreational activities and have been identified by the Texas Beach Watch as often having elevated levels of fecal indicator bacteria. During the span of a year (March 2022-February 2023), water samples that exceeded the recreational water quality limit for enterococci (104 MPN/100mL) were analyzed for microbial source tracking through quantitative polymerase chain reaction (qPCR) assays. The Bacteroides HF-183, DogBact, and the Catellicoccus LeeSeaGull markers were used to detect human, dog, and gull respectively. Overall, 34% of the high enterococci samples were positive for at least one of the markers. Additionally, samples collected in July and August were sequenced for 16S RNA and matched with sources through the Bayesian SourceTracker2 program. Seagull was revealed to be the primary source of fecal contamination through qPCR and SourceTracker2. Human contamination was detected at very low levels throughout the year and throughout the island, while dog was primarily found in urban areas during the summer. Enterococci data spanning from 2009-2022 was compared with sea level, rainfall, and population to determine any correlation between environmental stressors and bacteria levels. This data was also used to identify hotspots using ArcGIS. Correlation with environmental stressors was relatively low, but several hotspots were identified throughout the island. This data may indicate that there are other drivers at play when it comes to predicting enterococci levels
Genes2Networks: Connecting Lists of Proteins by Using Background Literature-based Mammalian Networks
No full textIn recent years, in-silico literature-based mammalian protein-protein interaction network datasets have been developed. These datasets contain binary interactions extracted manually from legacy experimental biomedical research literature. Placing lists of genes or proteins identified as significantly changing in multivariate experiments, in the context of background knowledge about binary interactions, can be used to place these genes or proteins in the context of pathways and protein complexes.
Genes2Networks is a software system that integrates the content of ten mammalian literature-based interaction network datasets. Filtering to prune low-confidence interactions was implemented. Genes2Networks is delivered as a web-based service using AJAX. The system can be used to extract relevant subnetworks created from “seed” lists of human Entrez gene names. The output includes a dynamic linkable three color web-based network map, with a statistical analysis report that identifies significant intermediate nodes used to connect the seed list. Genes2Networks is available at http://actin.pharm.mssm.edu/genes2networks.
Genes2Network is a powerful web-based software application tool that can help experimental biologists to interpret high-throughput experimental results used in genomics and proteomics studies where the output of these experiments is a list of significantly changing genes or proteins. The system can be used to find relationships between nodes from the seed list, and predict novel nodes that play a key role in a common function
Polarimetric radar modeling of mixtures of precipitation particles
No full textWith the recent advances of dual-polarized radar techniques in meteorology it is now possible to deduce precipitation microphysical characteristics in far more detail than possible with reflectivity measurements alone. Radar parameters such as differential reflectivity and differential phase between horizontal and vertical polarizations have been studied in detail as well as linear depolarization ratio, copolar correlation coefficient, and backscatter differential phase. While these parameters can be linked to certain microphysical properties of specific classes of precipitation such as raindrops or hail, very little study has been directed at the practically important cases of mixtures of different types of precipitation particles such as rain, hail, graupel, ice crystals, and snow. Each type can have different size, shape, orientation, and dielectric constant distributions. The treatment here is rigorous and is based on the Mueller matrix formulation. Radar parameters are derived from the averaged Mueller matrix computations. Careful consideration is given to the orientation and size distributions of the different particle types. After calculating single particle scattering characteristics, some simple two-component mixtures such as rain/hail and ice crystals/snow are considered. Finally, a 2D numerical cloud model is used to simulate the rain, hail/graupel, and snow fields of an evolving convective storm from which the radar parameters are derived for the initial, peak, and dissipating stages of the storm. Model computations are performed at C and S-band frequencies.This work was supported by the FAA under Contract DTFA01-90-Z-02005 and the National Science Foundation under Contract ATM-9214864. The work of R. Raghavan was also supported by NASA through USRA under Contract NAS8-37140. The National Center for Atmospheric Research is sponsored by the National Science Foundation
Genes2Networks: Connecting Lists of Proteins by Using Background Literature-based Mammalian Networks
No full textIn recent years, in-silico literature-based mammalian protein-protein interaction network datasets have been developed. These datasets contain binary interactions extracted manually from legacy experimental biomedical research literature. Placing lists of genes or proteins identified as significantly changing in multivariate experiments, in the context of background knowledge about binary interactions, can be used to place these genes or proteins in the context of pathways and protein complexes.
Genes2Networks is a software system that integrates the content of ten mammalian literature-based interaction network datasets. Filtering to prune low-confidence interactions was implemented. Genes2Networks is delivered as a web-based service using AJAX. The system can be used to extract relevant subnetworks created from “seed” lists of human Entrez gene names. The output includes a dynamic linkable three color web-based network map, with a statistical analysis report that identifies significant intermediate nodes used to connect the seed list. Genes2Networks is available at http://actin.pharm.mssm.edu/genes2networks.
Genes2Network is a powerful web-based software application tool that can help experimental biologists to interpret high-throughput experimental results used in genomics and proteomics studies where the output of these experiments is a list of significantly changing genes or proteins. The system can be used to find relationships between nodes from the seed list, and predict novel nodes that play a key role in a common function
Project Management Learnings from Ramayana
No full textRamayana is the first Indian Epic also known as Adhi Kavya comprising 24000 shlokas, grouped in 500 sargaswhich are divided over 7 kandas. The first author of Ramayana, written in Sanskrit, is Maharishi Valmiki. These authors have discovered multiple dimensions and implications of Ramayana in diverse fields like Management, Philosophy, Spirituality, Literature, Indian Mythology, etc. There are many teachings from this epic that can be applied in today's management-life in areas such as Project Management, Strategic Management, Leadership, Human Resource Management, and the like. In Ramayana, after the evil-spirited Ravana abducted Goddess Sita, Lord Rama who is in search of Goddess Sita, along with his brother, Lakshmana finds Lord Hanuman, a noble monkey, who played a predominant role in search of Goddess Sita and destruction of Ravana, the king of Lanka. After finding the whereabouts of Goddess Sita, they prepared for a war with Ravana to bring her back to Ayodhya. They also prepared for the Coronation of Lord Rama; so that" the Prince in exile becomes the King of Ayodhya". Objective: The application of Agile Project Management at the time of searching Goddess Sita in Ramayana. Methodology: Agile Project Management methodology is used in this research study, which has four main stages: Project Initiation, Project Planning, Project Execution, and Project Closure The research study tries to understand in detail how Ramayana's knowledge-repository is integrated into the modern-day Agile Project Management Methodology. Results: Valmiki Ramayana is extremely wealthy in portraying multiple examples of Project Management methodologies, synthesizing of Agile Project Methodologies from Ramayana, and application of Project Management to modern-day Projects. Implications: The results from this article can be applied to today's management life like – Project Management, Strategic Management, Leadership, and Human Resource Management
Patentopia: A multi-stage patent extraction platform with disambiguation for certain semantic challenges
No full textBibliographic name disambiguation is an major semantic challenge, but critical to social sciences studies of important intellectual assets. Here we contribute to innovation research in several ways. We show a significant synonym problem in author names and discuss how a pre-processing heuristic step standardizing name variants helps, but homonyms generated with Chinese names are particularly difficult to resolve and manifest in an associated location list. Here we identify a new phenomenon of "onomastic profusion," the frequent use of certain words in firm names for semantic reasons that can confound disambiguation clustering algorithms. We illustrate these concerns with Patentopia, our customized platform accessing the PatentsView portal for the United States Patent and Trademark Office database and available for free academic use. This multi-stage system uses heuristics in concert with the PatentsView clustering process and reports meta-data to further assist analysis. As highly relevant use cases, we illustrate system performance with data derived from two important public innovation programs, I-Corps and Small Business Innovation Research (SBIR), and we close with implications for bibliometric analysis of current patent data.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Delft Centre for Entrepreneurshi
Changing Paradigm of Consumer Experience Through Martech – A Case Study on Indian Online Retail Industry
No full textPurpose: Retail selling is an inevitable economic activity in any country’s economy. In India, the retail industry contributes 10% of its GDP. The invention of the Internet and technological advancement in digital marketing has helped the online retail industry to grow exponentially. Digital advancement has created an environment where customers are more informed, hence chooser and demanding. Marketing technology or ‘Martech’ encompasses technology to reach online customers to provide pre-eminent customer experience, to meaningfully engage and retain them. The latest such technologies are Artificial Intelligence, Augmented/Virtual Reality, Internet of Things, Natural Language Processing, Block Chain Technology, etc. This paper is an exploratory study using secondary data, which revealed that many firms have already adopted and most others are willing to adopt such advanced technologies in the near future as they are convinced that such technologies can phenomenally change the marketing strategies. This study also explores the current status of retail industry and also the opportunities and challenges of adopting these technologies from marketers’ perspective. It also proposes suggestions from a user perspective, based on the analysis findings.
Design Methodology: Developing a conceptual framework using primary and secondary data collected from various studies published by the govt, global research firms, blogs, and other internet articles.
Findings: This paper revealed a dire need to adapt the marketing technology in the retailing industry for future survival. The analysis also revealed that the affinity for internet and online purchases is increasing exponentially hence the latest technology such as Artificial Intelligence, Internet of Things, Machine Learning, Augmented Reality/Virtual Reality, and Natural Language Processing are tremendously revolutionizing the customer experience and thereby increased level of Customer Engagement.
Type of Paper: Case study-based Research Analysis
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