1,490 research outputs found

    IDENTIFICATION OF CAUSE AND EFFECT IN CAUSAL SENTENCES OF GERIATRIC CARE DOMAIN USING CONDITIONAL RANDOM

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    poster abstractEvent extraction is a key step in many text mining applications. Identified events can be used in various applications such as question-answering systems, information extraction, summarization or building the knowledge base of a clinical decision support system. In this study we used PubMed abstracts of Geriatric care domain that were manually categorized into 42 different subdomains and further divided into causal and non-causal sentences by three domain experts. There are a total of 19,677 sentences in the collected abstracts from PubMed, out of which 2,856 sentences were selected and manually annotated with cause and effect events. We used conditional random fields (CRFs) that are statistical algorithms used to sequentially tag each word in a sentence as a cause or effect event based on some input variables or features. Features used in this study are words, words categories (lowercase, uppercase, mixed of letter and digits, etc.), affixes, part of speech and phrase chunks such as noun or verb phrase. For every word, a window of features before and after each word was also considered. We tested window of size, one to five meaning one to five features before and after each word was included as the input variables. The CRF algorithm was trained and tested on data set with 2,520 sentences in training set, 252 sentences in validation and 84 sentences in test set. Window of four features before and after each word had the best performance with 75.1% accuracy and F-measure of 85% with 84.6% precision and 87% recall

    Assessing Information Congruence of Documented Cardiovascular Disease between Electronic Dental and Medical Records

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    Dentists are more often treating patients with Cardiovascular Diseases (CVD) in their clinics; therefore, dentists may need to alter treatment plans in the presence of CVD. However, it’s unclear to what extent patient-reported CVD information is accurately captured in Electronic Dental Records (EDRs). In this pilot study, we aimed to measure the reliability of patient-reported CVD conditions in EDRs. We assessed information congruence by comparing patients’ self-reported dental histories to their original diagnosis assigned by their medical providers in the Electronic Medical Record (EMR). To enable this comparison, we encoded patients CVD information from the free-text data of EDRs into a structured format using natural language processing (NLP). Overall, our NLP approach achieved promising performance extracting patients’ CVD-related information. We observed disagreement between self-reported EDR data and physician-diagnosed EMR data

    Structure based de novo design of IspD inhibitors as anti-tubercular agents

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    Tuberculosis is one of the leading contagious diseases, caused by Mycobacterium tuberculosis. Despite improvements in anti-tubercular agents, it remains one of the most prevalent infectious diseases worldwide, responsible for a total of 1.6 million deaths annually. The emergence of multidrug resistant strains highlighted the need of discovering novel drug targets for the development of anti-tubercular agents. 2-C-methyl-D-erythritol-4-phosphate cytidyltransferase (IspD) is an enzyme involved in MEP pathway for isoprenoid biosynthesis, which is considered an attractive target for the discovery of novel antibiotics for its essentiality in bacteria and absence in mammals. In the present study, we have employed structure based drug design approach to develop novel and potent inhibitors for IspD receptor. To explore binding affinity and hydrogen bond interaction between the ligand and active site of IspD receptor, docking studies were performed. ADMET and synthetic accessibility filters were used to screen designed molecules. Finally, ten compounds were selected and subsequently submitted for the synthesis and in vitro studies as IspD inhibitors

    Identifying Patients' Smoking Status from Electronic Dental Records Data

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    Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessibility causing obstacles during the time of care and research utility. No studies exist on extracting patient's smoking status automatically from the Electronic Dental Record. This study reports the development and evaluation of an NLP system for this purpose

    Studies on the Recovery of Bleached Corals in Andaman: Fishes as Indicators of Reef Health

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    The corals in Andaman and Nicobar Islands suffered extensive bleaching during April 2010 to the extent of 60–70 % due to elevated sea surface temperature (SST) and a significant portion of that is hitherto dead. This study evaluates the degree of recovery of the coral reefs and reef fishes, a year after the event. Line intercept transect (LIT) surveys were conducted in three sites, namely, North Bay, Tarmugli and Chidiyatapu for assessing coral cover together with visual census of reef fishes along the same transects. It was observed that all sites were quite badly affected during the bleaching period with more than 95 % of the corals being fully or partially bleached. Out of the bleached corals, only 54 % recovered at North Bay, whereas Tarmugli and Chidiyatapu exhibited 81 and 86 % recovery, respectively. The collapse of coral reef systems affected the abundance and diversity among fish species. Due to recovery and new recruitment of corals, live coral cover has increased, and consequently,, abundance of fishes seems to have increased. Understanding the associations of fishes and corals could possibly lead to selection of certain species of fishes as indicators of reef health. The results of the study lead to the hypothesis that fishes, especially those belong to the families, Chaetodontidae, Pomacentridae, Acanthuridae and Scaridae can be potential indicators of reef health

    Extraction and Evaluation of Medication Data from Electronic Dental Records

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    With an increase in the geriatric population, dental care professionals are presented with older patients who are managing their comorbidities using multiple medications. In this study, we developed a system to extract medication information from electronic dental records (EDRs) and provided patient distribution by the number of medications

    Laser and optical based methods for detecting and characterising microorganisms

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    This work investigated novel optical methods of characterizing the activity of microorganisms. Two different systems are studied in detail in this work. The possibility of using line scan speckle systems and imaging systems to understand the microbial behaviour, growth and motility was investigated. Conventionally, the growth and viability of microorganisms are determined by swabbing, plating and incubation, typically at 37degreesC for at least 24 hours. The proposed system allows real-time quantification of morphology and population changes of the microorganisms. An important aspect of the line scan system is the dynamic biospeckle. Dynamic speckle can be obtained from the movement of particles suspended in liquids. The speckle patterns show fluctuations in space and time which may be correlated with the activity of the constituents in the suspension. Initially the speckle parameters were standardized to non-motile and inert specimens such as polystyrene microspheres and suspensions of Staphylococcus aureus. The same optical systems and parameters were later tested on motile, active and live organisms of Escherichia coli. The experimental results that are presented describe the time history of the dynamic speckle pattern. A number of algorithms were used to analyse the intensity data. A 2D-FFT algorithm was used to evaluate the space and time-varying autocorrelation. Analysis of the speckle data in the Fourier domain provided insight into the motility of the organisms in broth. The mathematical analysis also gave further insight into the culture broth evaporation and its particle sedimentation characteristics at 37degreesC. These features correlated with the periodic motions associated with the organism and may therefore provide a signature for the organism and a means of monitoring. These results aided the developemnt of imaging bacterial detection systems which were discussed in the second half of the work. The second experimental system focuses on quantifying the morphology and population dynamics of Euglena gracilis under ambient conditions through image processing. Unlike many other cell systems, Euglena cells change from round to long to round cell shape and these different cell shapes were analyzed over time. In the morphological studies of single Euglena cells, image processing tools and filtering techniques were used and different parameters identified and their efficiency at determining cell shape compared. The best parameter for processing the images and its effectiveness in detecting even the interior motions of constituents within a dead cell was found. The efficiency of the measurement parameters in following sequences of shape changes of the Euglena cell was compared with the visual assessment tests from 12 volunteers and other simple measurement methods including parameters relating to the cells eccentricity, and image processing in the space and frequency domains. One of the major advantages of this system is that living cells can be examined in their natural state without being killed, fixed, and stained. As a result, the dynamics of ongoing biological processes in live cells can be observed and recorded in high contrast and sharp clarity. The population statistics of Euglena gracilis was done in liquid culture. A custom built microscopy system was employed and the laser beam was coupled with a dark field illumination system to enhance the contrast of the images. Different image filters were employed for extracting useful information on the population statistics. Similarly as with the shape study of the Euglena cell, different parameters were identified and the best parameter was selected. The population study of the Euglena cells provided a detection system that indicated the activity of the population

    Marterial characterization of asphalt binder using ultrasound testing

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    The Non-contact ultrasound (NCU) technology was used as an alternative to characterize the physical properties of asphalt binder. The objective of this research is to correlate the physical properties of asphalt binder with non-contact ultrasound measurements. The physical properties of asphalt binder are viscosity and penetration. In this study two types of\u27 AC 30 and AC40 asphalt binders are used. For each type of asphalt binder there are original and aged samples. The non-contact ultrasound measurements are integrated response (IR) and wave velocity (Vm). The IR is the attenuation value of the area underneath the signal wave measured in decibels and can be used to measure the amount of ultrasonic energy transmitted or reflected from a test material. The wave velocity is the velocity of the ultrasound when it passes through the material. The results show that IR can he correlated with physical properties: however wave velocity does not correlate well

    Behavior Risk Factors and Lipid Profiles of Diabetes Mellitus with Hypertension Among Adult Population in Indonesia

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    Background: Diabetes mellitus (DM) with hypertension increases risk of disability and premature death. Data on DM with hypertension is limited to hospital based data, while population-based data is important to provide problem magnitude in the population setting. This study aimed to describe issues magnitude of diabetes mellitus with hypertension and relationship with other NCD risk factors in Indonesia based on national population based survey. Method: This is a data analysis from a cross sectional national health survey (RISKESDAS) in 2013 that covered 34 provinces in Indonesia. Data was collected using structured questionnaire and measurement. Sample was 35,931 people aged 18+ years. Sampling method used four stages stratified sampling method. Results: This study showed prevalence of diabetes mellitus with hypertension was 3.0%, the highest prevalence was 14% for male and 8% in female. Diabetes mellitus with hypertension had significant relationship to smoking index in male (OR:2.94), obesity in male (OR: 2.35) and female (OR: 2.19) and blood cholesterol (OR: 3.45 in female and OR:1.86 in male). Conclusion: Health risk monitoring on body mass index, lipid profile, fruits and vegetables consumption, and smoking, will be crucial as a secondary prevention among DM and Hypertension case towards further complication, and risk of disability and premature death. (Health Science Journal of Indonesia 2016;7(2):97-106

    A Ring with a Spin : Superfluidity in a toroidal Bose-Einstein condensate

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    Superfluidity is a remarkable phenomenon. Superfluidity was initially characterized by flow without friction, first seen in liquid helium in 1938, and has been studied extensively since. Superfluidity is believed to be related to, but not identical to Bose-Einstein condensation, a statistical mechanical phenomena predicted by Albert Einstein in 1924 based on the statistics of Satyendra Nath Bose, where bosonic atoms make a phase transition to form a Bose-Einstein condensate (BEC), a gas which has macroscopic occupation of a single quantum state. Developments in laser cooling of neutral atoms and the subsequent realization of Bose-Einstein condensates in ultracold gases have opened a new window into the study of superfluidity and its relation to Bose-Einstein condensation. In our atomic sodium BEC experiment, we studied superfluidity and dissipationless flow in an all-optical toroidal trap, constructed using the combination of a horizontal ``sheet''-like beam and vertical ``ring''-like beam, which, like a circuit loop, allows flow around the ring. On inducing a single quantum of circulation in the condensate, the smoothness and uniformity of the toroidal BEC enabled the sustaining of a persistent current lasting 40 seconds, limited by the lifetime of the BEC due to background gas pressure. This success set the stage for further experiments studying superfluidity. In a first set of experiments, we studied the stability of the persistent current by inserting a barrier in the flow path of the ring. The superflow stopped abruptly at a barrier strength such that the local flow velocity at the barrier exceeded a critical velocity, which supported decay via the creation of a vortex-antivortex pair. Our precise control in inducing and arresting superflow in the BEC is a first step toward studying other aspects of superfluidity, such as the effect of temperature and dimensionality. This thesis discusses these experiments and also details partial-transfer absorption imaging, an imaging technique developed in the course of this work
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