A Review of Popular Business Intelligence Tools

In this study, we reviewed the users’ feedback on 7 popular Business Intelligence (BI) tools that are widely used in the industry. We first compared the users’ preferences on selecting BI tools according to the firm sizes and the time they used the tools. Additionally, we employed the ANOVA test on users’ reviews from actual use of these tools to differentiate between the BI tools based on user rating, ease of use (EOU), functionality, and customer support measures. Overall, the results indicate that there are statistically significant differences between BI tools according to these measures. Finally, we provided some insights and suggestions to the vendors on the BI tools based on our analysis results

ANN Car Mileage per Gallon Prediction

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars

The Effectiveness of the Three Stones Jumping Program (S.S.T.P) Directed at Mothers of Children with Autism Spectrum Disorder in Reducing Behavioral Problems among their Children Enrolled in Special Education Centers According to the Variables of Family Size and Mother’s Educational Level

The study aimed to identify the effect of the Stepping Stone Triple P (SSTP) directed at mothers of children with autism spectrum disorder enrolled in special education centers in reducing the behavioral problems of their children, attributed to the variables of the educational level of the mother and the size of the family members. The study used the quasi-experimental approach. The sample of the study consisted of (30) mothers of children with autism spectrum disorder who were enrolled in one of the special education centers in the capital Amman, and they were divided into (15) mothers for the control group and (15) for the experimental group The Kruskal-Wallis Test was adopted to extract the results of the study, and the results of the study showed that there are statistically significant differences in reducing behavioral problems attributable to the variable of the mother\u27s educational level and the significance value of the dimensional scale was (.001), which is less than the level of significance (0.05), which means that there are Statistically significant differences and the impact of the program (SSTP) in reducing behavioral problems in favor of mothers who hold a university degree, and the results indicated that there are statistically significant differences in reducing behavioral problems according to family size, as the significance value of the dimensional scale was (.097), which is less than. The level of significance (.05), this means that there are statistical differences and the effect of the program (SSTP) in reducing behavioral problems and it came in favor of the family that consisted of four and more members, and the study indicated that there are no statistically significant differences according to the size of the family in reducing the typical behavior and activity behavior Overload and distractio

Intrapartum antibiotics for prolonged rupture of membranes at term to prevent Group B Streptococcal sepsis

Background: Group B streptococcus (GBS) is the most common cause of neonatal sepsis in United Kingdom (UK). Early onset sepsis (EOS), but not late onset sepsis (LOS) can be prevented by providing intrapartum antibiotic prophylaxis (IAP). In spite of national guidelines since 2003, the incidence of neonatal GBS infections is increasing in UK. Aim: To assess the incidence of culture proven GBS infections before and after a change of practice on antepartum management of GBS in babies <3 months of age, born at Sunderland Royal Hospital between 1st Jan 2008 and 31st December 2017. Setting: Tertiary neonatal unit Study design: Retrospective cohort study Methods: Babies presenting with signs of sepsis from birth up to 3 months of age were included. Data regarding risk factors, intrapartum antibiotic prophylaxis and outcome of babies were collected. Results: 29 cases were identified and presented in two epochs – before and after changing guidelines for antepartum and intrapartum management. There was a statistically significant reduction in EOS rates and no difference in LOS rates

Patient Satisfaction with Complete Denture Prosthesis Made By Clinical Year Students at the Faculty of Dentistry, Al Azhar University - Gaza

Objective: Patients' satisfaction is one of the most important goals in complete denture therapy, and there are many factors influencing this parameter. This study aimed to determine patient satisfaction with conventional removable complete denture made by clinical year students at the Faculty of Dentistry, Al Azhar University - Gaza. Methods: A sample of 85 patient who had conventional removable complete denture made by clinical year students at the Faculty of Dentistry Al Azhar University - Gaza filled a questionnaire two months after denture insertion. The questionnaire involving four sections including personal information, history, denture evaluation in aspects of mastication, speech, aesthetics and retention, and patient comfort. Results: Of the 85 patient studied, 81% were males, and the mean age was 60.3 years SD+-9.64. The majority (n= 67, 79 %) lost their teeth because of bad oral hygiene. The overall satisfaction level was (92.1%), and patients were more satisfied with their upper denture. A significant association was found between the patient satisfaction and prior denture use experience (p=0.013). No significant correlation was established between the patient satisfaction and their gender (p=0.188), age group (p=0.640) and employment status (p=0.667).Conclusion: The patients have shown a high level of overall satisfaction. A significant association was found between the overall satisfaction level of patients and prior denture use experience. No statistically significant association was observed between the overall satisfaction level of patients and with each of age group, employment status and gender

Artificial Neural Network for Forecasting Car Mileage per Gallon in the City

In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Make, Model, Type, Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway, Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per gallon when the car is driven in the city(MPG_City). The results showed that ANN model was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the most influence on MPG_City evaluation. Similar studies can be carried out for the evaluation of other characteristics of cars

Identification of Putative Cytoskeletal Protein Homologues in the Protozoan Host \u3cem\u3eHartmannella vermiformis\u3c/em\u3e as Substrates for Induced Tyrosine Phosphatase Activity Upon Attachment to the Legionnaires\u27 Disease Bacterium, \u3cem\u3eLegionella pneumophila\u3c/em\u3e

The Legionnaires\u27 disease bacterium, Legionella pneumophila, is a facultative intracellular pathogen that invades and replicates within two evolutionarily distant hosts, free living protozoa and mammalian cells. Invasion and intracellular replication within protozoa are thought to be major factors in the transmission of Legionnaires\u27 disease. We have recently reported the identification of a galactose/N-acetyl-d-galactosamine (Gal/GalNAc) lectin in the protozoan host Hartmannella vermiformis as a receptor for attachment and invasion by L. pneumophila (Venkataraman, C., B.J. Haack, S. Bondada, and Y.A. Kwaik. 1997. J. Exp. Med. 186:537–547). In this report, we extended our studies to the effects of bacterial attachment and invasion on the cytoskeletal proteins of H. vermiformis. We first identified the presence of many protozoan cytoskeletal proteins that were putative homologues to their mammalian counterparts, including actin, pp125FAK, paxillin, and vinculin, all of which were basally tyrosine phosphorylated in resting H. vermiformis. In addition to L. pneumophila–induced tyrosine dephosphorylation of the lectin, bacterial attachment and invasion was associated with tyrosine dephosphorylation of paxillin, pp125FAK, and vinculin, whereas actin was minimally affected. Inhibition of bacterial attachment to H. vermiformis by Gal or GalNAc monomers blocked bacteria-induced tyrosine dephosphorylation of detergent-insoluble proteins. In contrast, inhibition of bacterial invasion but not attachment failed to block bacteria-induced tyrosine dephosphorylation of H. vermiformis proteins. This was further supported by the observation that 10 mutants of L. pneumophila that were defective in invasion of H. vermiformis were capable of inducing tyrosine dephosphorylation of H. vermiformis proteins. Entry of L. pneumophila into H. vermiformis was predominantly mediated by noncoated receptor-mediated endocytosis (93%) but coiling phagocytosis was infrequently observed (7%). We conclude that attachment but not invasion by L. pneumophila into H. vermiformis was sufficient and essential to induce protein tyrosine dephosphorylation in H. vermiformis. These manipulations of host cell processes were associated with, or followed by, entry of the bacteria by a noncoated receptor-mediated endocytosis. A model for attachment and entry of L. pneumophila into H. vermiformis is proposed

Exploring the value of a cyber threat intelligence function in an organization

Organizations can struggle to cope with the rapidly advancing threat landscape. A cyber threat intelligence (CTI) function broadly aims to understand how threats operate to better protect the organization from future attacks. This seems like a natural step to take in hardening security. However, CTI is understood and experienced differently across organizations. To explore the value of this function this study used a qualitative method, guided by the Socio-Technical Framework, to understand how the CTI function is interpreted by organizations in South Africa. Thematic analysis was used to provide an in-depth view of how each organization implemented its CTI function and what benefits and challenges they’ve experienced. Findings show that CTI tasks tend to be more manual and resource-intensive, but these challenges can be resolved through automation. It was noted that only larger organizations seem to have the budget and resources available to implement the CTI function, whereas smaller organizations put more reliance on tools. It was observed that skills for the CTI function can be learned on the job, but that formal education provides a good foundation. The findings illustrate the value the CTI function can provide an organization but also the challenges, thereby enabling other organizations to improve preparation before such a function is adopted