Matter wave soliton bouncer

Dynamics of a matter wave soliton bouncing on the reflecting surface (atomic mirror) under the effect of gravity has been studied by analytical and numerical means. The analytical description is based on the variational approach. Resonant oscillations of the soliton's center of mass and width, induced by appropriate modulation of the atomic scattering length and the slope of the linear potential are analyzed. In numerical experiments we observe the Fermi type acceleration of the soliton when the vertical position of the reflecting surface is periodically varied in time. Analytical predictions are compared with the results of numerical simulations of the Gross-Pitaevskii equation and qualitative agreement between them is found.Comment: 8 pages, 5 figure

Challenges and Opportunities to Improve Tuberculosis Screening Among Immigrant Plantation Workers in Sabah, Malaysia

Tuberculosis (TB) among immigrants has substantial contribution to the TB epidemiology in Sabah. This study aimed to determine the yield of screening for TB disease among immigrant plantation workers in Sabah, Malaysia. This was a prospective cohort study involving 482 legal immigrant workers aged 18 years and above, consented and available at study sites during the study period. Workers with previous history of TB or currently on TB treatment were excluded from participation. Symptom based questionnaire was administered along with both chest radiograph and sputum samples collection for symptomatics participants. Out of 482 plantation workers creened, there was no case of active TB detected among the 44 (9.1%) symptomatics participants. Finding of low TB yield in this study was rather unexpected but this indicates the real challenges for the local health authority to come out with more cost effective screening programs, including reducing stigma, in active TB screening among migrant population

The Impending Effects of Shipping Phenomenal Undertaking on Shipboard Safety: Sleep Problem as Moderator

Throughout maritime history, disasters have led to the loss of many human lives, environmental pollution, and property loss. The historic sinking of the iconic Titanic on 14 April 1912 had prompted massive change and enhancement in shipping regulations. Nonetheless, the shipping industry still encounters similar incidents. This study aims at empirically examining the effects of Work-Family Conflict (WFC), Quality Regulatory Activity (QRA), Ship Owner Efficiency Demand (SOED), and Sleep Problem (SP) towards Shipboard Safety (SS). A theoretical model was adopted to measure the relationship between the variables considered. A structured self-administrated questionnaire was developed and disseminated to seafarers via the Human Resources department of various shipping companies and social media outlets. Quantitative analysis and a five-point Likert scale were utilized to quantify the respondents’ feedback. A total of 314 useable seafarers\u27 responses from 12 countries provided intrinsic value from the perspectives of cultural and race adaptation towards safety behaviour. The data were subjected to the reliability, explanatory factor, normality, correlation, and regression analysis, to determine the validity, relationship, strength, and effects of the constructs in the research objectives. The research attested the conceptualised model and pedagogic QRA and SOED positive effects on shipboard safety, whilst WFC and the moderating tool - SP, found not moderated WFC, neither influencing shipboard safety. This research has proposed a new phenomenon that prompts shipboard safety, predicted to contribute towards the industry from different views of safety-related elements, and provide valuable insight for shipping companies, authorities, and maritime organisations

Text categorization using naive bayes algorithm

As the volume of information available on the internet and corporate intranet continues to increase, there is a growing interest in helping people better find, filter, and manage all these resources. Text categorization is one of the techniques that can be applied in this situation. This paper presents text categorization system based on naive Bayes algorithm. This algorithm has long been used for text categorization tasks. Naive Bayes classifier is based on probability model that integrate strong independence assumptions which often have no bearing in reality. The aims of this project are to categorize the textual document using naive Bayes algorithm and to measure the correctness of the chosen technique for the categorization process. This paper also discusses the experiment in categorizing articles using naive Bayes