Mining Frequent Item Sets from incremental database: A single pass approach

Apriori based Association Rule Mining (ARM) is one of the data mining techniques used to extract hidden knowledge from datasets that can be used by an organization2019;s decision makers to improve overall profit. Performing Existing association mining algorithms requires repeated passes over the entire database. Obviously, for large database, the role of input/output overhead in scanning the database is very significant. We propose a new algorithm, which would mine frequent item sets with vertical format. The new algorithm would need to scan database one time. And in the follow-up data mining process, it can get new frequent item sets through 'and operation' between item sets. The new algorithm needs less storage space, and can improve the efficiency of data mining

TO WIDEN THE NOVEL CLOUD CARGO SPACE EXAMINE FOR LOCATION

Watching that during hundreds of sensing situations, the location statistics is probably positioned up-processed as quickly because the facts are submitted to a few server, we format Cloud-Offloaded Gps navigation (CO-Gps navigation) solution that permits a sensing tool to strongly obligation-cycle its Gps navigation receiver and log sufficient uncooked Gps navigation signal for publish-processing. Location is, in reality, essential provider for traveling with a computer. Typical Gps navigation receivers, despite the fact that substantially without a hassle to be had for navigation reasons may additionally eat too much electricity to end up using for lots of programs. Localization is simply an essential carrier of mobility. In outside packages as an instance natural international tracking, participatory ecological sensing, and private standard fitness applications, Gps navigation is affects the maximum common region sensor. Leveraging overtly to be had records, for example, GNSS satellite TV for pc television for computer ephemeris further to an Earth elevation database, a cloud issuer can derive pinnacle splendid Gps navigation locations from a couple of milliseconds of uncooked information. Using our fashion of a portable sensing device platform known as CLEON, we decide the precision and efficiency of the solution. In comparison to extra than thirty seconds of heavy sign processing on standalone Gps navigation receivers, we're capable of achieving three orders of significance decrease electricity intake consistent with vicinity marking

Critical appraisal of drug promotional literature using World Health Organisation guidelines

Background: Pharmaceutical marketing using drug promotional literatures is an important strategy adopted by the companies to promote their drugs. The primary objective of the present study is to compare the drug promotional literature of different pharmaceutical companies on the basis of World Health Organization (WHO) guidelines on ethical drug promotion.Methods: This observational, cross sectional study was conducted at a tertiary care hospital, Delhi. The promotional literature was evaluated in accordance with WHO guidelines, nature of claims, pictorial content presented in it and for the cited references.Results: A total of 208 promotional brochures were analysed. Only few (5.8%) of the promotional literature fulfilled all the criteria as mentioned by the guidelines. Nutritional supplements (27.9%) were the most promoted group of drugs. Pharmaceutical companies were most reluctant to provide information regarding contraindications (9.6%), adjuvants (11.5), side effects (10.6%) and drug interactions (9.6%). Generic name, brand name, dosage form, therapeutic indications were outlined in most of the brochures. Exaggerated emotional claims were made in 47.1% brochures, followed by that of efficacy in 39.4% and safety in 25% of brochures. Pictures of medicinal products outnumbered others with 39.9% followed by pictures of women, children and doctors with 20.7%, 17.3% and 13.5% respectively.Conclusions: Majority of the drug promotional literature did not comply with the ethical guidelines and was inadequate in terms of their adequacy, quality and reliability. Hence, it can be concluded that the majority of the promotional advertisements that are given to the prescribers are not able to spread awareness towards rational prescribing.

Physiological skin changes in neonates –A cross sectional prospective study

Introduction: The neonatal period is regarded as the first 4 weeks of extrauterine life. In the literature, there are numerous articles about the skin findings in neonates and the results of these studies show differences according to races and environmental factors. Aims & Objectives: Our objective was to evaluate the physiological skin lesions seen in neonates delivered in our hospital and to determine their relationship to various perinatal factors.(gender, gestational age and route of delivery). Materials & Methods: Newborns delivered at and attending pediatric OPD in our hospital from March 2012 to February 2013were included in this study. Dermatologic examination was performed and relationship between the skin changes and gender, gestational age and route of delivery were statistically evaluated. Results: A total of 300 newborns were examined for the presence of skin lesions. Most common skin findings were Mongolian spot (46.66%), followed by Epstein pearls (38.66%) and physiological desquamation (28.66%) and the differences were statistically significant. Conclusion: We found that 95% of the neonates had one or more cutaneous lesions. Birth weight, Maturity and type of delivery of the babies were important factors in their causation. With this study, we want to increase the awareness about the skin findings in neonates

GBJOF: Gradient Boosting Integrated with Jaya Algorithm to Optimize the Features in Malware Analysis

Malware analysis is used to identify suspicious file transferring in the network. It can be identified efficiently by using the reverse engineering hybrid approach. Implementing a hybrid approach depends on the feature selection because the dataset contains static and dynamic parameters. The given dataset contains 85 attributes with 10 different class labels. Since it has high dimensional and multi-classification data, existing approaches of ML could be more efficient in reducing the features. The model combines the enhanced JAYA genetic algorithm with a gradient boosting technique to identify the efficiency and a smaller number of features. Many existing approaches for feature selection either implement correlation analysis or wrapper techniques. The major disadvantages of these issues are that they are facing fitting problems with a very small number of features. With the Usage of the genetic approach, this paper has achieved 95% accuracy with 12 features, approximately 7% greater than ML approaches

Gate Driver Circuit Design, PWM signal generation using FEZ Panda III and Arduino for Inverter

This paper presents the gate driver circuit design and PWM signal generation using FEZ panda III and Arduino boards for Inverter. FEZ panda III works on .net micro framework and all its programming, debugging features are available through Microsoft’s Visual studio whereas Arduino features are available through Arduino software. Inverters are used in various applications like in motor drives and solar and wind power applications. This paper is commenced by basic understanding of need of gate driver circuit for inverter and different types of PWM techniques for generating gate signals for inverter. Simulation of SPWM inverter in both open loop and closed loop operation is done and its respective gate voltage waveforms are studied and later hardware implementation of gate driver circuit using TLP250H IC is carried out and gate voltages at different duty cycles is studied with the help of FEZ Panda III and Arduino boards

Postictal serotonin levels are associated with peri-ictal apnea.

ObjectiveTo determine the relationship between serum serotonin (5-HT) levels, ictal central apnea (ICA), and postconvulsive central apnea (PCCA) in epileptic seizures.MethodsWe prospectively evaluated video EEG, plethysmography, capillary oxygen saturation (SpO2), and ECG for 49 patients (49 seizures) enrolled in a multicenter study of sudden unexpected death in epilepsy (SUDEP). Postictal and interictal venous blood samples were collected after a clinical seizure for measurement of serum 5-HT levels. Seizures were classified according to the International League Against Epilepsy 2017 seizure classification. We analyzed seizures with and without ICA (n = 49) and generalized convulsive seizures (GCS) with and without PCCA (n = 27).ResultsPostictal serum 5-HT levels were increased over interictal levels for seizures without ICA (p = 0.01), compared to seizures with ICA (p = 0.21). In patients with GCS without PCCA, serum 5-HT levels were increased postictally compared to interictal levels (p < 0.001), but not in patients with seizures with PCCA (p = 0.22). Postictal minus interictal 5-HT levels also differed between the 2 groups with and without PCCA (p = 0.03). Increased heart rate was accompanied by increased serum 5-HT levels (postictal minus interictal) after seizures without PCCA (p = 0.03) compared to those with PCCA (p = 0.42).ConclusionsThe data suggest that significant seizure-related increases in serum 5-HT levels are associated with a lower incidence of seizure-related breathing dysfunction, and may reflect physiologic changes that confer a protective effect against deleterious phenomena leading to SUDEP. These results need to be confirmed with a larger sample size study

Detection of human papillomavirus in laryngeal squamous cell carcinoma: systematic review and meta-analysis

Background: Recent studies have reported a human papillomavirus (HPV) prevalence of 20% to 30% in laryngeal squamous cell carcinoma (LSCC), although clinical data on HPV involvement remain largely inconsistent, ascribed by some to differences in HPV detection methods or in geographic origin of the studies. Objective To perform a systematic review and formal meta-analysis of the literature reporting on HPV detection in LSCC. Methods Literature was searched from January 1964 until March 2015. The effect size was calculated as event rates (95% confidence interval [CI]), with homogeneity testing using Cochran's Q and I2 statistics. Meta-regression was used to test the impact of study-level covariates (HPV detection method, geographic origin) on effect size. Potential publication bias was estimated using funnel plot symmetry. Results One hundred seventy nine studies were eligible, comprising a sample size of 7,347 LSCCs from different geographic regions. Altogether, 1,830 (25%) cases tested HPV-positive considering all methods, with effect size of 0.269 (95% CI: 0.242 to 0.297; random-effects model). In meta-analysis stratified by the 1) HPV detection technique and 2) geographic study origin, the between-study heterogeneity was significant only for geographic origin (P = .0001). In meta-regression, the HPV detection method (P = .876) or geographic origin (P = .234) were not significant study-level covariates. Some evidence for publication bias was found only for studies from North America and those using non–polymerase chain reaction methods, with a marginal effect on adjusted point estimates for both. Conclusions Variability in HPV detection rates in LSCC is explained by geographic origin of study but not by HPV detection method. However, they were not significant study-level covariates in formal meta-regression

Functional MRI Correlates of Carbon Dioxide Chemosensing in Persons With Epilepsy

ObjectivesSudden unexpected death in epilepsy (SUDEP) is a catastrophic epilepsy outcome for which there are no reliable premortem imaging biomarkers of risk. Percival respiratory depression is seen in monitored SUDEP and near SUDEP cases, and abnormal chemosensing of raised blood carbon dioxide (CO2) is thought to contribute. Damage to brainstem respiratory control and chemosensing structures has been demonstrated in structural imaging and neuropathological studies of SUDEP. We hypothesized that functional MRI (fMRI) correlates of abnormal chemosensing are detectable in brainstems of persons with epilepsy (PWE) and are different from healthy controls (HC).MethodsWe analyzed fMRI BOLD activation and brain connectivity in 10 PWE and 10 age- and sex-matched HCs during precisely metered iso-oxic, hypercapnic breathing challenges. Segmented brainstem responses were of particular interest, along with characterization of functional connectivity metrics between these structures. Regional BOLD activations during hypercapnic challenges were convolved with hemodynamic responses, and the resulting activation maps were passed on to group-level analyses. For the functional connectivity analysis, significant clusters from BOLD results were used as seeds. Each individual seed time-series activation map was extracted for bivariate correlation coefficient analyses to study changes in brain connectivity between PWE and HCs.Results(1) Greater brainstem BOLD activations in PWE were observed compared to HC during hypercapnic challenges in several structures with respiratory/chemosensing properties. Group comparison between PWE vs. HC showed significantly greater activation in the dorsal raphe among PWE (p < 0.05) compared to HCs. (2) PWE had significantly greater seed-seed connectivity and recruited more structures during hypercapnia compared to HC.SignificanceThe results of this study show that BOLD responses to hypercapnia in human brainstem are detectable and different in PWE compared to HC. Increased dorsal raphe BOLD activation in PWE and increased seed-seed connectivity between brainstem and adjacent subcortical areas may indicate abnormal chemosensing in these individuals. Imaging investigation of brainstem respiratory centers involved in respiratory regulation in PWE is an important step toward identifying suspected dysfunction of brainstem breathing control that culminates in SUDEP and deserve further study as potential imaging SUDEP biomarkers