Evidence-Based Detection of Pancreatic Canc

This study is an effort to develop a tool for early detection of pancreatic cancer using evidential reasoning. An evidential reasoning model predicts the likelihood of an individual developing pancreatic cancer by processing the outputs of a Support Vector Classifier, and other input factors such as smoking history, drinking history, sequencing reads, biopsy location, family and personal health history. Certain features of the genomic data along with the mutated gene sequence of pancreatic cancer patients was obtained from the National Cancer Institute (NIH) Genomic Data Commons (GDC). This data was used to train the SVC. A prediction accuracy of ~85% with a ROC AUC of 83.4% was achieved. Synthetic data was assembled in different combinations to evaluate the working of evidential reasoning model. Using this, variations in the belief interval of developing pancreatic cancer are observed. When the model is provided with an input of high smoking history and family history of cancer, an increase in the evidential reasoning interval in belief of pancreatic cancer and support in the machine learning model prediction is observed. Likewise, decrease in the quantity of genetic material and an irregularity in the cellular structure near the pancreas increases support in the machine learning classifier’s prediction of having pancreatic cancer. This evidence-based approach is an attempt to diagnose the pancreatic cancer at a premalignant stage. Future work includes using the real sequencing reads as well as accurate habits and real medical and family history of individuals to increase the efficiency of the evidential reasoning model. Next steps also involve trying out different machine learning models to observe their performance on the dataset considered in this study

Web Service infrastructure for supply chain

Managing a supply chain is one of the most complicated tasks today when erratic changes in demand must be met as soon as possible for staying competitive, while dealing with multitude of business partners that are involved in the chain. It is imperative that any changes in a corporation\u27s product/service demand be immediately communicated with its suppliers and logistic service providers. This task of communication has long been overtaken by computerized systems from the telephones and fax machines. The computer technologies being used so far to connect two businesses are proving to be too rigid in today\u27s world of mergers, acquisitions, new business deals etc which bring in the task of tying the disparate computer systems of these different organizations. To solve this problem, the enterprise software industry has developed new standards and a new design for constructing inter-organization applications, collectively known as the Web Service technology. This paper demonstrates how this technology works and how it can be applied to the problem of supply chain management. This paper describes the principles of Web Services and its features like UDDI. A demonstrative supply chain infrastructure is created using the Web Service technology which shows the ease of creating new communication links with new supply chain partners without having to invest in costly computer technology resources. The paper will show that the adoption of Web Services and adoption of standard business language OAGIS will make the task of supply chain communication as easy as plug and play

Implementation of Trust Issues in Ecommerce

This paper is based on security of E-commerce web sites. It uses web mining technology for providing security on e-commerce web sites. The connection between web mining security and ecommerce analyzed based on user behavior on web . Different web mining algorithms and security algorithm are used to provide security on e-commerce web sites. Based on customer behavior web mining algorithms like page rank algorithm and trust rank algorithm is used for developing web mining framework in e-commerce web sites. This application will develop false hit database algorithm and nearest neighbor algorithm to provide security on e-commerce web site. It will also develop page rank & trust rank algorithm for providing security on e-commerce site

RADAR Image Fusion Using Wavelet Transform

RADAR Images are strongly preferred for analysis of geospatial information about earth surface to assesse envirmental conditions radar images are captured by different remote sensors and that images are combined together to get complementary information. To collect radar images SAR(Synthetic Aperture Radar) sensors are used which are active sensors and can gather information during day and night without affecting weather conditions. We have discussed DCT and DWT image fusion methods,which gives us more informative fused image simultaneously we have checked performance parameters among these two methods to get superior method from these two techniques

Health‐related quality of life in gout: a primary care‐based mixed methods study

Background: Gout is the most prevalent inflammatory arthritis (2.5%) and may affect Health Related Quality Of Life (HRQOL) through its disease features, associated co‐morbid and sociodemographic characteristics. Methods: A systematic review of HRQOL in gout and the instruments used to measure it was performed. 1805 eligible patients in primary care were mailed a questionnaire to ascertain selfreported HRQOL (measured using Health Assessment Questionnaire Disability Index (HAQ‐DI), Short‐Form 36 Physical Function subscale (PF‐10) and Gout Impact Scale (GIS)), gout, co‐morbid and socio‐demographic characteristics. Univariate unadjusted (T‐test and analysis of variance) and multivariate adjusted (linear regression models) associations between HRQOL and independent variables were examined. Focus group interviews of participants’ perspectives towards gout and its treatments affecting HRQOL were conducted and thematic analysis performed. Results: 22 studies in the systematic review identified poor physical HRQOL in those with gout and co‐morbidities. Existing studies were limited by use of either generic or gout‐specific HRQOL questionnaires and mostly secondary care settings. 1184 completed questionnaires were received (response 65.5%). On multivariate adjusted analysis, worse generic and gout‐specific HRQOL was associated with higher attack frequency, history of oligo/polyarticular attacks, allopurinol, body pain, depression, alcohol consumption and age. HRQOL measured using the GIS only was associated with serum uric acid >360μmol/L and currently having an attack and using the PF‐10 and HAQ‐DI only with female gender, stroke and angina. The key themes arising from the qualitative interviews were the impact of gout characteristics, misunderstanding of gout and lack of information from physicians. Conclusions: HRQOL in gout is affected by disease severity, medical and psychological comorbidities and socio‐demographic characteristics. Urate‐lowering treatment should be initiated early to prevent disease progression. Co‐morbidities should be screened for and treated alongside gout. Factors associated with HRQOL differ according to the instrument used and the choice of instrument will depend upon the objectives of future research studies

Test and characterization of a prototype silicon-tungsten electromagnetic calorimeter

New generation high-energy physics experiments demand high precision tracking and accurate measurements of a large number of particles produced in the collisions of lementary particles and heavy-ions. Silicon-tungsten (Si-W) calorimeters provide the most viable technological option to meet the requirements of particle detection in high multiplicity environments. We report a novel Si-W calorimeter design, which is optimized for $\gamma/\pi^0$ discrimination up to high momenta. In order to test the feasibility of the calorimeter, a prototype mini-tower was constructed using silicon pad detector arrays and tungsten layers. The performance of the mini-tower was tested using pion and electron beams at the CERN Proton Synchrotron (PS). The experimental results are compared with the results from a detailed GEANT-4 simulation. A linear relationship between the observed energy deposition and simulated response of the mini-tower has been obtained, in line with our expectations.Comment: 13 figures, represents test beam data with PS beam line at CER

Illness perceptions of gout patients and the use of allopurinol in primary care: baseline findings from a prospective cohort study

Background Patients’ perceptions of their illness are dynamic and can directly influence aspects of management. Our aim was to examine the illness perceptions of gout patients in UK primary care and associations with allopurinol use. Methods A health questionnaire was sent to 1805 people with gout aged ≥18 years identified by a gout diagnosis or prescriptions for allopurinol or colchicine in their primary care medical records in the preceding 2 years. The questionnaire included selected items from the revised illness perception questionnaire (IPQ-R). Associations between illness perceptions and use of allopurinol were calculated using multinomial logistic regression adjusted for age, gender, deprivation status, body mass index, alcohol consumption, comorbidities and gout characteristics. Results One thousand one hundred eighty-four participants responded to the baseline questionnaire (65.6 %). Approximately half of responders perceived that they were able to control (51.2 %) or affect their gout through their own actions (44.8 %). Three quarters perceived treatments to be effective (76.4 %) and agreed that gout is a serious condition (76.4 %). Patients who agreed that they could control their gout (Relative Risk Ratio, 95 % confidence interval 1.66 (1.12 to 2.45)) and that treatments were effective (2.24 (1.32 to 3.81)) were more likely to currently be using allopurinol than not using allopurinol. However, this significance was attenuated after adjustment for self-reported gout characteristics (1.39 (0.89 to 2.17) & 1.78 (0.96 to 3.29) respectively). Conclusions Patients who perceive that they can control their gout and that treatments are effective are more likely to be using allopurinol, this suggests that better information is needed for the patient from GPs and rheumatologist to reassure and support their use of UL

Illness perceptions of gout patients and the use of allopurinol in primary care: baseline findings from a prospective cohort study

BackgroundPatients’ perceptions of their illness are dynamic and can directly influence aspects of management. Our aim was to examine the illness perceptions of gout patients in UK primary care and associations with allopurinol use.MethodsA health questionnaire was sent to 1805 people with gout aged =18 years identified by a gout diagnosis or prescriptions for allopurinol or colchicine in their primary care medical records in the preceding 2 years. The questionnaire included selected items from the revised illness perception questionnaire (IPQ-R). Associations between illness perceptions and use of allopurinol were calculated using multinomial logistic regression adjusted for age, gender, deprivation status, body mass index, alcohol consumption, comorbidities and gout characteristics.ResultsOne thousand one hundred eighty-four participants responded to the baseline questionnaire (65.6 %). Approximately half of responders perceived that they were able to control (51.2 %) or affect their gout through their own actions (44.8 %). Three quarters perceived treatments to be effective (76.4 %) and agreed that gout is a serious condition (76.4 %). Patients who agreed that they could control their gout (Relative Risk Ratio, 95 % confidence interval 1.66 (1.12 to 2.45)) and that treatments were effective (2.24 (1.32 to 3.81)) were more likely to currently be using allopurinol than not using allopurinol. However, this significance was attenuated after adjustment for self-reported gout characteristics (1.39 (0.89 to 2.17) & 1.78 (0.96 to 3.29) respectively).ConclusionsPatients who perceive that they can control their gout and that treatments are effective are more likely to be using allopurinol, this suggests that better information is needed for the patient from GPs and rheumatologist to reassure and support their use of UL