Travel Dashboard

Travel Dashboard is a one stop solution for all the travel needs of travelers and tourists visiting a new place. In today’s world travel has become a part of everyone’s life and we love to travel whenever there is a holiday or long a weekend. Earlier, the travel industry was mostly dictated by tour operators who used to plan and organize tours with standard itinerary, while tourists had very limited choices and needed to pick one of the itineraries given by operator as there was no other option left for them. Time have changed now as travelers love to plan and organize their trips on their own instead of depending on agencies, so what’s the first thing a traveler should think before visiting a new place? It is research about the place, finding out best place to stay, eat, places of interest, news and looking at videos to get a good understanding about the destinations. To find all various types of information about the destination travelers search on the internet and look a at significant number of websites to gather the information. This project aims to reduce this requirement. Travel Dashboard is all about building a dashboard which displays a wide range of information about a destination which can currently only be obtained by searching different websites

Estimation of the Offspring Mean in a General Single-Type Size-Dependent Branching Process

2000 Mathematics Subject Classification: 60J80, 62F12, 62P10We consider a general single-type size-dependent branching process

The Striking Level of Gender Inequality in the Nursing Profession: A Cross-sectional study among Nurses and Student Nurses from selected Hospitals and Nurses Training Institutions in the Northern Cities of Uganda.

Background: The level of gender inequality in this study was established at 78.4% implying that out of 10(ten) nurses, at least 8(eight) have experienced unfair treatment because of their gender as a student or a staff. Both male and female nurses face gender disparity among patients/attendants, colleagues, other health professionals, their community, and even family members. Male nurses have remained the minority in the profession bringing a striking numerical gender inequality in the nursing profession. The objective of this study is to determine factors influencing Gender inequality in the Nursing Profession among nurses and student nurses from selected hospitals and nurses training institutions in the Northern Cities of Uganda. Methodology:  A cross-sectional study design was used. Quantitative data were obtained from nurses and nursing students in selected study sites in Gulu, Lira, and Arua cities. The raw data was single -entered and analyzed using statistical software version 26 for analysis. Bivariate and univariate analysis methods were used to identify factors associated with gender inequality. Variables with a P-value of <0.05 with a 95% confidence interval were used to declare statistical significance. Results: 383 participants were interviewed. The level of gender inequality was established at 78.4%. Among the socio-demographic factors, gender (x 2=10.294, p-0.001), level of education attained (x 2=6.293, p-0.043), marital status (x 2=8.296, p-0.004) were significantly associated to gender inequality in the nursing profession. Conclusion: The prevalence of gender inequality in this study was 78.4%. Men remain the minority in the profession at 26.4%. Recommendations:  The study recommends that quick comprehensive combined action is needed from government Ministries, nurses councils; NGOs, and international bodies fighting for gender equality to save the nursing profession from inequality. This action will contribute to the achievement of gender equality for all in all spheres of life.

Individual-related factors influencing the striking gender inequality in the nursing profession. A cross sectional study among nurses and student nurses from selected Hospitals and Nurses Training Institutions in the Northern Cities of Uganda.

Background: The striking level of gender inequality (GI) in the nursing profession (NP), is partially influenced by some individual related factors. The 26.4% male, mostly suffers psychological abuse and discrimination for being academic failures but some nurses appreciates them. It’s confirmed that all nurses are academically qualified though graduate nurses are only 6% and Muslims, 3.7%.  9.1% of respondents revealed that patients/attendants mistreatment by some nurses triggered their nursing choice.   The main study objectives was to established the factors influencing GI in the NP among nurses and student nurses from the selected hospital and nurses training institution in the Northern Cities of Uganda.   Methodology:    A cross-sectional study design was used to obtain data. Trained research assistants used a pretested structured English questionnaire to obtain raw data which were single-entered and analyzed using statistical software version 26. Frequency tables and graphs were used to describe the study variables. Univaraite and bivariate analysis methods were used to identify factors associated with GI. Variables with P-value of <0.05 with 95% confidence interval were used to declare statistical significance.  Results: 383 interviewed participants generated 95.6% responses. Perpetuator of gender discrimination in the NP are mainly patients/attendants and nurses/students. 35.5% of the respondents believed that male nurses are using nursing as a stepping stone to other medical courses. Gender, education level, religious affiliation, training level, the experience of discrimination, and recommended gender for NP were the individual-related factors that were significantly associated with GI in the NP Conclusion:   Gender inequality in the NP is greatly influenced by individual-related factors despite other factors. The stigmatised male nurses avoid the professional uniform to probably meet the public expectation of them being doctors. Recommendation: Swift multidisciplinary action is needed for a comprehensive and collaborative mindset change of the public about NP

Statistical Inference for Processes Depending on Environments and Application in Regenerative Processes

We build the Conditional Least Squares Estimator of 0 based on the observation of a single trajectory of {Zk,Ck}k, and give conditions ensuring its strong consistency. The particular case of general linear models according to 0=( 0, 0) and among them, regenerative processes, are studied more particularly. In this frame, we may also prove the consistency of the estimator of 0 although it belongs to an asymptotic negligible part of the model, and the asymptotic law of the estimator may also be calculated

OPTIMIZATION OF CULTURAL PARAMETERS FOR THE PRODUCTION OF ANTIMICROBIAL COMPOUND FROM ENTEROCOCCUS FAECIUM CST-1 (MCC-2729)

Objective: To improve the productivity of antibacterial compounds of Eenterococcus feacium CST-1 by optimizing its nutrient and physical factors and screened for its antimicrobial activity by agar well diffusion method. Methods: In order to improve its efficiency, the effects of medium components carbon and nitrogen sources, temperature, pH, agitation, incubation time, were optimized and its productivity was determined by agar well diffusion method against four bacterial strains obtained from MTCC, Chandigarh, India namely Bacillus subtilis, E. coli, Psudomonas aeruginosa, Staphylococcus aureus,. Results: The bacterial inhibition rate was more in the optimized medium composition (g/100 ml), containing tryptone 1.5, dextrose 3.0 and incubation time for 76 hrs, temperature 35±2 °C and pH 6.5. Compared to basal medium the optimized medium shown about 1.2 fold increased in the zone of inhibition by Enterococcus feacium CST-1. Conclusion: The results from this study confirmed that the antibacterial substances produced by Eenterococcus feacium CST-1 were found to be more effective after its optimization