Professional Organizations and Codes of Ethics: Awareness and Attitudes Among Undergraduate IS Students

Gaining recognition of the IS field as a profession offers a number of potential benefits to individual IS practitioners, the IS profession, and the public. We suggest that any concerted effort to increase IS professionalism should begin by ensuring that students preparing for IS careers are: 1) educated about IS professional organizations, 2) aware of the ethical questions that face IS professionals, 3) informed about IS professional organizations’ codes of ethics and professional behavior, and 4) accept the appropriateness of the code requirements. This research-in-progress addresses how IS undergraduate programs are achieving these objectives. The concept of professionalism is discussed in this paper, followed by a description of two key IS professional organizations in North America (ACM and CIPS) and their respective codes of ethics. Finally, research questions are presented and the planned research project is described

Sonomorphology and colour flow Doppler studies in differentiating between benign and malignant ovarian masses

Background: Ovarian cancer is the most frequent cause of death from Gynaecological malignancies in the world. Most patients with epithelial ovarian cancer are asymptomatic in early stage disease and usually present with stage III or IV disease. There are various screening methods for detection of ovarian cancer like bimanual pelvic examination, ultrasound examination (TVS and TAS) with or without color Doppler flow imaging and measurement of various circulating proteins like CA 125. The Purpose of a study is to determine optimal cut off point for a morphological scoring system and color flow directed Doppler values to differentiate benign and malignant ovarian masses.Methods: This study was done at Department of obstetrics and Gynaecology, Government Rajah Mirasudhar Teaching Hospital attached to Government Thanjavur Medical College, Thanjavur, Tamilnadu, India during the period of June – 2011 to October – 2012. This study consisted of 73 patients, 3 patients were not operated as they were not fit for surgery for medical reasons. Hence 70 patients were included in the study. A note was made of their main symptoms at admission, Parity, menopausal status, family history of carcinoma. Patients admitted with diagnosis of ovarian masses and clearly ovarian by sonomorphology and surgery were only included in this study. Morphological Score, RI and PI were calculated. All patients underwent exploratory laparotomy with surgical removal of the tumor. The final diagnosis obtained based on HPE were classified as either benign or malignant. The score of each mass and the Doppler values were assessed individually and in combination with regard to its relationship to final diagnosis.Results: In summary the resistance to flow measurement obtained by Doppler had a higher sensitivity and specificity compared to the morphological scoring system in differentiating benign and malignant ovarian masses. The combination of morphological score and Doppler Measurements improved the specificity positive predictive value for differentiating benign and malignant ovarian masses. Conclusions: The combination of ultrasound and Doppler values is better in differentiating benign from malignant ovarian masses. The cut off point for ultrasound guided morphological scoring system was 4 and Doppler velocimetry for differentiating benign and malignant ovarian masses was a RI of 0.55 and PI of 0.8

Image processing techniques for Lung Cancer Detection

Lung cancer is one of the dangerous disease which causes cancer deaths in the world. A cancer is an abnormal growth of cells that can be typically derived from a single abnormal cell. Cancerous cells can increase and affect whole part of the lungs. So, it is important to find cancerous cells at the earlier stage and take necessary steps to cure. Now-a-days Magnetic Resonance Imaging and computed tomography (CT) are finding the application computer aided diagnosis and treatment planning. In this paper we use CT scan images. A Computed Tomography(CT) scan of the lung nodule is one of the sensitive method for detecting lung cancer. In this paper proposed different automated nodule recognition systems using image segmentation, feature extraction and processing

Analysis of Verb Expressions in the Conversational Speech of Kannada-English Speaking Bilingual Persons with Mild Dementia

Dementia is characterized by the breakdown of intellectual and communicative functioning accompanied by personality change (DSM IV, American Psychiatric Association, 1994). Persons with dementia often experience difficulty in naming skills which can be attributed to semantic memory deficits. This can further influence various linguistic expressions such as lexical and morphological structures. The present study aimed to quantitatively and qualitatively analyze the presence of different types of verb inflections in bilingual (Kannada-English) persons with mild dementia. Considered for the study were 10 healthy elderly and 10 persons with mild dementia who were Kannada-English bilinguals. Spontaneous, conversational speech in all the participants was transcribed from which different types of verb inflexions in Kannada were extracted and analyzed. They included infinite verb, imperative verbs, negative imperatives, optative, and participle verbs. These were quantitatively and qualitatively analyzed for mean number of verbs and their nature including code mixing and switching identifying the significant differences between the two groups of participants. Results suggest that these measures offer a sensitive method for differentiating persons with mild dementia from healthy elderly. The study further helps in delineating prognostic indicator and planning rehabilitative measures which can be helpful tool for management

Evaluation of Clinical Effectiveness of Autogenous Dentin Graft in Periodontal Intrabony Defect: A Clinical and Radiological Study

BACKGROUND: Periodontal therapy aims to prevent periodontal tissue destruction while achieving regeneration of lost and damaged tissues. Autografts are considered as gold standard in concept of regeneration . The extracted tooth which is considered as clinical waste, can be prepared into an autograft for immediate grafting in intrabony defects. Autogenous dentin graft (ADG) is osteogenic, osteoinductive and osteoconductive and being autograft it has antigenic resistance. This Autograft contains growth factors , BMP, HA and helps in bone neoformation. The purpose of this study was to evaluate the clinical and radiographic effectiveness of autogenous dentin graft in the management of intrabony defects. AIM OF THE STUDY: The aim of this study was to evaluate the clinical effectiveness of autogenous dentin graft in the treatment of intrabony defects. METHODS: A total of 10 intrabony defects were selected randomly for the purpose of the study. After the Phase-I therapy, the defects were treated with autogenous dentin graft. Clinical parameters such as plaque index (PI), gingival bleeding index (GBI), probing pocket depth (PPD), and clinical attachment level (CAL) were recorded at baseline and at 6 months postoperatively. Radiographic analysis including CBCT was performed at baseline, 3 months and 6 months post operatively. RESULTS: Significant reduction in the mean pocket depth and gain in attachment level was observed in as compared to baseline, the reduction in defect depth was significant (p=0.001) at the end of 6 months. Greater percentage of bone fill at 3 month 39.09± 14.62 and at 6 month 62.35 ± 15.59 were observed. Bone mineral density showed good improvement from at baseline was 27.10± 42.52, at 3 months was 334.30 ± 97.61and at 6 months was 727.40 ± 154.99 and which was statistically significant (p = 0.000) . CONCLUSION: Within the limits of present study it can be concluded that Autogenous dentin graft which is prepared from the extracted teeth which is usually have proved to give promising regenerative results when used in periodontal bone defects. Successful regenerative results have been demonstrated in clinical and radiological parameters including CBCT. Thus in future, clinical trials with larger sample size may be employed to further explore the potential benefits of AUTOGENOUS DENTIN GRAFT as a grafting material in periodontal regeneration

Cross Validation Component Based Reduction for Divorce Rate Prediction

Concurring to information from the Centresfor Illness Control and Anticipation, instruction and religion are both capable indicators of lasting or dissolving unions. The chance of a marriage finishing in separate was lower for individuals with more knowledge, with over half of relational unions of those who did not complete high school having finished in separate compared with roughly 30 percent of relational unions of college graduates. With this overview, the divorce rate dataset from UCI dataset repository is used for predicting the divorce class target with the following contributions. Firstly, the Divorce rate dataset is subjected with the data cleaning and exploratory data analysis. Secondly, the data set is settled with different classifiers to look at the classification before and after feature scaling. Thirdly, the dataset is processed with various cross validation of training and testing dataset i.e 80:20, 30:70, 40:60, 50:50 to improve the accuracy of all the classifiers. Fourth, the dataset is processed with 15, 20 and 30 components of principal component analysis and then applied with all classifier algorithm to analyze the accuracy of divorce rate prediction. Fifth, the performance analysis is done with precision, recall, accuracy, fscore and running time to infer the classification before and after feature scaling. Experimental results show that the Random Forest classifier is found to have the accuracy of 98% for all PCA reduced dataset with 15, 20 and 30 components. The result showsthat Random Forest classifier is found to have the accuracy of 98% for 40:60, 50:50 of training and testing dataset

Undersampling Aware Learning based Fetal Health Prediction using Cardiotocographic Data

With the current improvement of development towards pharmaceutical, distinctive ultrasound methodologies are open to find the fetal prosperity. It is analyzed with diverse clinical parameters with 2-D imaging and other test. In any case, prosperity desire of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart appraise and inadequate of data in fetal echocardiography. The machine learning strategies can find out the classes of fetal heart rate which can beutilized for earlier evaluating. With this background, we have utilized Cardiotocographic Fetal heart rate dataset removed from UCI Machine Learning Store for predicting the fetal heart rate health classes. The Prediction of fetal health rate are achieved in six ways. Firstly, the data set is preprocessed with Feature Scaling and missing values. Secondly, exploratory data investigation is done and the dispersion of target feature is visualized. Thirdly, the raw data set is fitted to all the classifiers and the performance is analysed before and after feature scaling. Fourth, the raw data set is subjected to undersampling methods like ClusterCentroids, RepeatedENN, AllKNN, CondensedNearestNeighbour, EditedNearestNeighbours, InstanceHardnessThreshold and NearMiss. Fifth, the undersampled dataset by above mentioned methods are fitted to all the classifiers and the performance is analyzed before and after feature scaling. Sixth, performance analysis is done using metrics like Precision, Recall, F-score, Accuracy and running time. The execution is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that the Decision Tree classifier tends to retain 98% before and after feature scaling for the underrsampling with EditedNearestNeighbours, RepeatedENN and AllKNN methods

Lipid profile analysis of type 2 diabetic patients in Bengaluru population, India

Background: Prevalence of Diabetes in India is 69.2 million, among which type 2 diabetes mellitus (T2DM), constitutes for 90% of all the diabetic populations. Previous studies have proved the association of T2DM, with increasing risk of cardiovascular diseases (CVDs) and the level of risk varies among males and females. The present study aims to analyze the lipid profile of T2DM patients and compare the lipid profile of T2DM males and females in Karnataka, Bengaluru population.Methods: The study included 171 T2DM patients, 59 females and 112 males aged 21 years and above. Total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), very low density lipoprotein cholesterol (VLDL-C) and triglycerides (TG) concentrations values were analyzed for each group. Paired students t test was applied to identify the differences in lipid profile values of males and females with T2D.Results: The mean value of TC, VLDL-C and LDL-C were higher in overall T2DM patients than the normal range and HDL-C was lower in T2DM patients. Comparison between males and females showed significantly higher LDL-C in females with T2DM than males. Other lipid parameters TC, TG and HDL-C did not show any significant differences between females and males with T2DM.Conclusions: This study demonstrated the existence of dyslipidemia in T2DM population which is major risk factor for CVD. Greater LDL-C was observed in T2DM females compared to T2DM males suggests higher risk for CVD in females compared to males

NON INVASIVE COST EFFECTIVE SIDDHA DIAGNOSTIC TOOLS FOR SIDDHA AILMENTS

The medication of normal procedure shall be extra legitimate if the ailment is identified by using it’s possess viewpoint. So the be taught was once aimed to determine the sensitivity and specificity of the Siddha diagnostic methodology. Siddha strongly advocacies every physician to seem into “what type of person is suffering from an ailment is most important than what variety of health problem he has”. This holistic standpoint devises the protocol of each medication in Siddha. This distinctive primary is the delicate force and motive in the back of the existence of this method considering antiquity.Having the above mentioned unique standards in intellect, this paper tried to fully grasp the complexity and core basics of Siddha diagnostics which indeed pave solution to unique therapeutics. The medication of normal system shall be more legitimate if the disorder is diagnosed via its own point of view. So the learn was once aimed to check the sensitivity and specificity of the Siddha diagnostic ways. Eight fold examinations displays particularly pulse studying, tongue, complexion, voice, eyes, physique examination, stool and urine. These instruments provide the framework in phrases of immediate and individualized prognosis and medication to the patient and support to recover from diseases in a timely fashion without leaving any hazardous impact on the physique

Automated Teller Machine (ATM)- A “Pathogen City” – A surveillance Report from Locations in and around Madurai City, Tamil Nadu, India

ATM is used by millions of people in a day. It is meant to be a public utility device.Hence the microorganism’s plays a major role in accommodating the safer place, ATM.Hence to this account an elaborate survey was taken for complete assessment of microbiology in and around Madurai city. Swabs were collected from each ATM screen, buttons, floor, user’s hand, exposure of plates and also extended the work in relation with microorganisms prevalent in ladies toilet the samples collected from ATM were plated in nutrient agar plates. The results showed the presence of increased bacterial count subsequently, most pathogens on characterization extended revealed the genus of the particular organism E-coli, Pseudomonas, Staphylococcus aures, Klebsiella, Micrococcus, Salmonella, Serratia and fungal species included Aspergillus sp, Mucor sp and Fusarium. Antibiogram study of bacteria also provides us information about the antibiotic resistance pattern of the bacterial isolates.