42 research outputs found
Author details
Author details for the article titled 'A prospective study on health-seeking behavior and post exposure prophylaxis received by animal bite victims at an anti-rabies clinic in a tertiary care center in urban Bangalore'</p
Using Machine Learning and Text Mining Algorithms to Facilitate Research Discovery of Plant Food Metabolomics and Its Application for Human Health Benefit Targets
With the increase in scholarly articles published every day, the need for an automated systematic exploratory literature review tool is rising. With the advance in Text Mining and Machine Learning methods, such data exploratory tools are researched and developed in every scientific domain. This research aims at finding the best keyphrase extraction algorithm and topic modeling algorithm that is going to be the foundation and main component of a tool that will aid in Systematic Literature Review. Based on experimentation on a set of highly relevant scholarly articles published in the domain of food science, two graph-based keyphrase extraction algorithms, TopicalPageRank and PositionRank were picked as the best two algorithms among 9 keyphrase extraction algorithms for picking domain-specific keywords. Among the two topic modeling algorithms, Latent Dirichlet Assignment (LDA) and Non-zero Matrix Factorization (NMF), documents chosen in this research were best classified into suitable topics by the NMF method validated by a domain expert. This research lays the framework for a faster tool development for Systematic Literature Review
Effects of UV light and moisture absorption on the impact resistance of three different carbon fiber-reinforced composites
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Mechanical EngineeringCarbon fiber is extensively used in aircraft components and structures, where its superior strength-to weight ratio far exceeds that of any metal. Thirty percent of all carbon fiber is used in the aerospace industry. The purpose of this research was to determine the influence of material properties on the impact response of a laminate, whereby specimens were fabricated and cured under a vacuum and high temperature using three types of pre-impregnated (prepreg), carbon fibers, namely unidirectional fiber, plain weave woven fiber, and non-crimp fiber. Each carbon fiber panel, usually known for its low-impact properties, with respective type of prepregs, of 16 plies underwent impact testing using a low-velocity impactor and visual damage inspection by C-scan in order to measure the damage area and depth, before and after impact testing. These panels were treated with UV exposure and moisture conditioning for 20 days each. Water contact angles were taken into consideration to determine the hydrophobicity and hydrophillicity of the respective prepreg material. Experimental results and damage analysis show that UV exposure and moisture conditioning showcased the variation in impact response and behavior, such as load-carrying capacity, absorbed energy, and impact energy of the carbon fiber panels. This study illustrates that non-crimp carbon fiber laminates were far more superior relative to load capacity than woven and unidirectional laminates, with the NCF-AS laminate exhibiting the highest load capacity of 17,244 lb/in (pre-UV) with only 0.89% decrease after UV exposure. This same laminate also had a 1.54% decrease in sustaining impact and 31.4% increase in wettability of the panel. Moreover, the study shows how symmetric and asymmetric stacking sequences affect the impact behavior of non-crimp fiber laminates. These results may be useful for expanding the capacity of carbon fiber, lowering costs, and growing new markets, thus turning carbon fiber into a viable commercial product
Revolutionizing cancer treatment: The role of radiopharmaceuticals in modern cancer therapy
Abstract Radiopharmaceutical therapy (RPT) is a precision medicine approach that involves the targeted delivery of radioactive atoms to tumor cells, representing a breakthrough strategy for cancer treatment. Radiopharmaceuticals typically consist of a small amount of radioactive material, a radionuclide, paired with a chemical that specifically targets the cell. Some radionuclides naturally target specific cells or biological processes without the need for modification. RPT is a novel cancer treatment method that offers various advantages over current traditional treatment approaches. One of the primary advantages of RPT is its ability to target cancer cells, including those in metastatic areas. Another key advantage of RPT is that radiation can be delivered systemically, locally, or physiologically to specific cells internally rather than being applied externally. Moreover, radiotracer imaging can be utilized to determine radiopharmaceutical absorption in target tissues before providing a therapeutic dose. Compared to all other cancer treatment approaches, RPT has demonstrated high efficacy with minimal toxicity. The recent approval of multiple RPT medicines by the US Food and Drug Administration highlights the tremendous potential of this treatment. This article provides a detailed review of RPT, including insights into manufacturing procedures, safety measures, and its applications in cancer therapy
MNDB: An Integrated Database for Comprehensive Exploration of the N6-Methyladenosine Methylome
The author has granted permission for their work to be available to the general public.The N6-methyladenosine (m6A) modification is recognized to have an important function incontrolling a variety of biological processes. This thesis introduces MNDB(Methyltranscriptome
Network DataBase), a sophisticated database with a web interface that provides researchers with
the ability to query N6-methyladenosine (m6A) modification sites by specific cell lines or tissue
types, as well as differential methylation sites. We also constructed a novel pipeline that enabled
us to compile millions of peaks from publicly available m6A-seq and MeRIP-seq data, covering
numerous cell lines or tissues in various organisms. The MNDB web interface and genome browser
provide an intuitive and visually appealing platform for exploring and analyzing the data, offering
enhanced usability, functionality, and informativeness. Researchers can use this resource to obtain
comprehensive insights into N6-methyladenosine (m6A) modification data, enabling them to make
informed decisions and advance their research. The research demonstrates the potential of the
advanced pipeline for studying the complex regulatory functions of N6-methyladenosine (m6A)
modification and provides a valuable resource for the scientific community. The MNDB database
is available for anyone to access and use.Electrical and Computer Engineerin
A DESCRIPTIVE STUDY OF PERIOPERATIVE COMPLICATIONS IN PATIENTS UNDERGOING PERCUTANEOUS NEPHROLITHOTRIPSY UNDER GENERAL ANAESTHESIA
Real Time Suppression of Howling Noise in Public Address System
AbstractHowling noise is a common phenomenon in a public address system. It is built up due to the acoustic coupling between the speaker system and the microphone when it creates a positive feedback. Real time implementation of howling noise detection and suppression was implemented using TMS320C6713 DSK starter kit. The whole implementation was done based on direct memory access (DMA) feature of the DSP processor. The method uses the properties of howling noise for efficient detection and has the advantage of suppressing the noise. Howling detection is performed based on spectral flatness measure (SFM) of each input speech frame. For frames without howling, the input is passed as such to the output. Howling suppression is performed by making output samples as zero if the presence of howling noise is detected
