Fault analysis using state-of-the-art classifiers

Fault Analysis is the detection and diagnosis of malfunction in machine operation or process control. Early fault analysis techniques were reserved for high critical plants such as nuclear or chemical industries where abnormal event prevention is given utmost importance. The techniques developed were a result of decades of technical research and models based on extensive characterization of equipment behavior. This requires in-depth knowledge of the system and expert analysis to apply these methods for the application at hand. Since machine learning algorithms depend on past process data for creating a system model, a generic autonomous diagnostic system can be developed which can be used for application in common industrial setups. In this thesis, we look into some of the techniques used for fault detection and diagnosis multi-class and one-class classifiers. First we study Feature Selection techniques and the classifier performance is analyzed against the number of selected features. The aim of feature selection is to reduce the impact of irrelevant variables and to reduce computation burden on the learning algorithm. We introduce the feature selection algorithms as a literature survey. Only few algorithms are implemented to obtain the results. Fault data from a Radio Frequency (RF) generator is used to perform fault detection and diagnosis. Comparison between continuous and discrete fault data is conducted for the Support Vector Machines (SVM) and Radial Basis Function Network (RBF) classifiers. In the second part we look into one-class classification techniques and their application to fault detection. One-class techniques were primarily developed to identify one class of objects from all other possible objects. Since all fault occurrences in a system cannot be simulated or recorded, one-class techniques help in identifying abnormal events. We introduce four one-class classifiers and analyze them using Receiver-Operating Characteristic (ROC) curve. We also develop a feature extraction method for the RF generator data which is used to obtain results for one-class classifiers and Radial Basis Function Network two class classification. To apply these techniques for real-time verification, the RIT Fault Prediction software is built. LabView environment is used to build a basic data management and fault detection using Radial Basis Function Network. This software is stand alone and acts as foundation for future implementations

FACTORS ASSOCIATED WITH SEVERITY OF ILLNESS IN PATIENTS WITH DENGUE FEVER IN A TERTIARY CARE HOSPITAL IN SOUTHERN INDIA

 Objective: Denguefeveris one of the important tropical disease of public health significance caused by flavivirus. It is a major cause of morbidity and mortality worldwide. Identification of factors associated with severity of dengue can improve the prognosis of the disease.This study tried toassess the factors associated with severity of dengue.Methods: A record based study was conducted in a tertiary care hospital setting in southern India. A total of 550 case files were reviewed to ascertain demographic, clinical and laboratory parameters among confirmed cases of dengue. The severity of dengue was categorized using WHO 2009 classification.Results: Of 550 records reviewed, 449 (81.6%) were classified as non-severe dengue and 101 (18.4%) as severe dengue. Factors associated with severe dengue on univariate analysis were: gender, backache, skin rash, nausea and vomiting, abdominal distension, haemorrhage, breathlessness, oliguria, hepatomegaly, splenomegaly, ascites, leukopenia, hypoproteinemia, and elevated serum alanine transaminase (ALT) >63 IU/L.On multivariate analysis,haemorrhage (OR=11.75, 95%; CI=6.38-21.62), oliguria (OR=4.01, 95%; CI=1.32-12.15), ascites (OR=2.68, 95%; CI=1.19-6.01), ALT>63 IU/L (OR=1.77, 95%; CI=1.01-3.1) and hypoproteinemia (OR=5.57, 95%; CI=2.82-10.98) were found to have significant association with the development of severe dengue.Conclusion: This study indicates thatwhen dengue patients present with bleeding episodes, ascites, oliguria,raised ALT and low serum protein levels, clinicians should be alert to the appearance of severe complications. Early identification of these factors will help clinicians to recognise the severity of dengue illness and enable them to implement appropriate interventions

Non-specialist health worker interventions for the care of mental, neurological and substance-abuse disorders in low- and middle-income countries.

BACKGROUND: Many people with mental, neurological and substance-use disorders (MNS) do not receive health care. Non-specialist health workers (NSHWs) and other professionals with health roles (OPHRs) are a key strategy for closing the treatment gap. OBJECTIVES: To assess the effect of NSHWs and OPHRs delivering MNS interventions in primary and community health care in low- and middle-income countries. SEARCH METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL) (including the Cochrane Effective Practice and Organisation of Care (EPOC) Group Specialised Register) (searched 21 June 2012); MEDLINE, OvidSP; MEDLINE In Process & Other Non-Indexed Citations, OvidSP; EMBASE, OvidSP (searched 15 June 2012); CINAHL, EBSCOhost; PsycINFO, OvidSP (searched 18 and 19 June 2012); World Health Organization (WHO) Global Health Library (searched 29 June 2012); LILACS; the International Clinical Trials Registry Platform (WHO); OpenGrey; the metaRegister of Controlled Trials (searched 8 and 9 August 2012); Science Citation Index and Social Sciences Citation Index (ISI Web of Knowledge) (searched 2 October 2012) and reference lists, without language or date restrictions. We contacted authors for additional studies. SELECTION CRITERIA: Randomised and non-randomised controlled trials, controlled before-and-after studies and interrupted-time-series studies of NSHWs/OPHR-delivered interventions in primary/community health care in low- and middle-income countries, and intended to improve outcomes in people with MNS disorders and in their carers. We defined an NSHW as any professional health worker (e.g. doctors, nurses and social workers) or lay health worker without specialised training in MNS disorders. OPHRs included people outside the health sector (only teachers in this review). DATA COLLECTION AND ANALYSIS: Review authors double screened, double data-extracted and assessed risk of bias using standard formats. We grouped studies with similar interventions together. Where feasible, we combined data to obtain an overall estimate of effect. MAIN RESULTS: The 38 included studies were from seven low- and 15 middle-income countries. Twenty-two studies used lay health workers, and most addressed depression or post-traumatic stress disorder (PTSD). The review shows that the use of NSHWs, compared with usual healthcare services: 1. may increase the number of adults who recover from depression or anxiety, or both, two to six months after treatment (prevalence of depression: risk ratio (RR) 0.30, 95% confidence interval (CI) 0.14 to 0.64; low-quality evidence); 2. may slightly reduce symptoms for mothers with perinatal depression (severity of depressive symptoms: standardised mean difference (SMD) -0.42, 95% CI -0.58 to -0.26; low-quality evidence); 3. may slightly reduce the symptoms of adults with PTSD (severity of PTSD symptoms: SMD -0.36, 95% CI -0.67 to -0.05; low-quality evidence); 4. probably slightly improves the symptoms of people with dementia (severity of behavioural symptoms: SMD -0.26, 95% CI -0.60 to 0.08; moderate-quality evidence); 5. probably improves/slightly improves the mental well-being, burden and distress of carers of people with dementia (carer burden: SMD -0.50, 95% CI -0.84 to -0.15; moderate-quality evidence); 6. may decrease the amount of alcohol consumed by people with alcohol-use disorders (drinks/drinking day in last 7 to 30 days: mean difference -1.68, 95% CI -2.79 to -0.57); low-quality evidence).It is uncertain whether lay health workers or teachers reduce PTSD symptoms among children. There were insufficient data to draw conclusions about the cost-effectiveness of using NSHWs or teachers, or about their impact on people with other MNS conditions. In addition, very few studies measured adverse effects of NSHW-led care - such effects could impact on the appropriateness and quality of care. AUTHORS' CONCLUSIONS: Overall, NSHWs and teachers have some promising benefits in improving people's outcomes for general and perinatal depression, PTSD and alcohol-use disorders, and patient- and carer-outcomes for dementia. However, this evidence is mostly low or very low quality, and for some issues no evidence is available. Therefore, we cannot make conclusions about which specific NSHW-led interventions are more effective

Early Loading of Single-Piece Implant for Partially Edentulous Posterior Arch: A Prospective One-Year Case Report

Implant therapy is now well established, and there is an increasing need for shorter rehabilitation time. Original prerequisites of osseointegration have been reassessed to satisfy continuously increasing patient's expectation of reduced treatment time, improved esthetics, and increased comfort. Shorter healing time may be appropriate in some circumstances, and examples of early loading have been reported in animal and human studies. However, to date there are insufficient data to determine a universally acceptable opinion on early loading of implants for single-tooth replacement. This case report involves early loading, combined with construction of a restoration, inserted directly after 6 weeks of implant surgery and followup of one year

Neuroprotective effects of Cassia tora against paraquat-induced neurodegeneration: relevance for Parkinson’s disease

International audienc

Anomalous origin of the right coronary artery from the pulmonary artery associated with an aortopulmonary window

Anomalous origin of the right coronary artery (RCA) from the pulmonary artery is a rare entity that causes chronic left-to-right shunting of blood from the RCA, through the coronary collaterals into the pulmonary artery. This results in persistent myocardial ischemia and ventricular dysfunction. Association of this anomaly with an aortopulmonary window worsens the condition further due to an additional shunt. We encountered a combination of these two anomalies along with an ostium secundum atrial septal defect in a 10-month-old baby who presented with excessive crying and failure to thrive. Evaluation by transthoracic echocardiography and cardiac computed tomography scan confirmed the diagnosis. Intrapulmonary baffle was done using a pericardial patch to connect the RCA origin to ascending aorta through the aortopulmonary window, similar to Takeuchi procedure. Concomitantly, ostium secundum atrial septal defect was also closed