Determinants of responsibility for health, spiritual health and interpersonal relationship based on theory of planned behavior in high school girl students

Background: Adolescence is a sensitive period of acquiring normal and abnormal habits for all of life. The study investigates determinants of responsibility for health, spiritual health and interpersonal relations and predictive factors based on the theory of planned behavior in high school girl students in Tabriz. Methods: In this Cross-sectional study, 340 students were selected thorough multi-stage sampling. An author-made questionnaire based on standard questionnaires of Health Promotion and Lifestyle II (HPLPII), spiritual health standards (Palutzian & Ellison) and components of the theory of planned behavior (attitudes, subjective norms, perceived behavioral control, and behavioral intention) was used for data collection. The questionnaire was validated in a pilot study. Data were analyzed using SPSS v.15 and descriptive and analytical tests (Chi-square test, Pearson correlation co-efficient and liner regression test in backward method). Results: Students' responsibility for health, spiritual health, interpersonal relationships, and concepts of theory of planned behavior was moderate. We found a significant positive correlation (p<0/001) among all concepts of theory of planned behavior. Attitude and perceived behavioral control predicted 35 of intention of behavioral change (p<0.001). Attitude, subjective norms, and perceived behavioral control predicted 74 of behavioral change in accountability for health (p<0.0001), 56 for behavioral change in spiritual health (p<0.0001) and 63 for behavioral change in interpersonal relationship (p<0.0001). Conclusion: Status of responsibility for health, spiritual health and interpersonal relationships of students was moderate. Hence, behavioral intention and its determinants such as perceived behavioral control should be noted in promoting intervention programs

Characterization of qutrit channels in terms of their covariance and symmetry properties

We characterize the completely positive trace-preserving maps on qutrits (qutrit channels) according to their covariance and symmetry properties. Both discrete and continuous groups are considered. It is shown how each symmetry group restricts arbitrariness in the parameters of the channel to a very small set. Although the explicit examples are related to qutrit channels, the formalism is sufficiently general to be applied to qudit channels

WHAT FACTORS MOST? IMPACT OF PROGRAMME QUALITY DIMENSIONS ON SECONDARY SCHOOL STUDENTS’ SATISFACTION WITH BIOSYSTEMS TECHNOLOGY PROGRAMME IN SRI LANKA

In general, education quality can be conceptually determined by the evaluation of students’ satisfaction. In fact, satisfying the students in programme of studies is a key element which directly effect on future students’ intake to a programme or course. The purpose of present study was to determine the impact of programme quality on students' satisfaction amongst the Sri Lankan senior secondary schools students and to analyze which dimensions of programme quality contribute the most in achieving students' satisfaction. This study used quantitative method and administered a questionnaire to 410 Biosystems Technology students from senior secondary schools in the central province of Sri Lanka. The findings revealed that programme quality is an important antecedent and determinant of the students' satisfaction with their programme of study. Interestingly, the findings indicated that subject availability for electives is the critical factor that contributes the most on students' satisfaction followed by subject content in major, classroom environment and class size and also school facilities and learning resources. Thus, the findings of the present study have provided significant contribution to the body of the knowledge in programme quality and students' satisfaction and also relevant authorities in general education such as policymakers, curriculum developers, and other relevant personnel to make necessary amendments to be improve the quality of existing programme that ensures the students' satisfaction.  Article visualizations

ACADEMIC LIBRARY USERS’ EXPERIENCE: A REVIEW ON RELATED CONCEPTS AND EMPIRICAL IMPLICATION

In order to answer the questions raised to guide this study, there is need to review previous literature that relates to variables understudied. Also, to operationally define key concepts used for this study to ensure clarity of the concepts. Literature review shows a vibrant section and significant untouched materials to structure the infrastructure of a precise subject component in whichever category of a research study. It is conducted to obtain a clear consideration about the precise area of study. The literature review is arranged developing themes directly drawn from the literature, chronologically and thematically in this study. Researchers followed literature Review as the main methodology to review the existing empirical knowledge to build conceptual content to support for the proposed research directions. The findings provide the insights on how empirical findings being shared in literature reviews connecting the concept of Band Citizenship behavior and related concepts and implications. Based on the discussion, postulate the future research directions in line with the empirical knowledge gaps found within.  Article visualizations

EXPLORING EMPLOYEES BRAND KNOWLEDGE IN SRI LANKAN BANKING SECTOR

Brand knowledge ponders had to increase significant consideration from both experts and researchers. The comprehension of brand knowledge could be converted into good disposition and conduct that guide advertisers in figuring engaging marketing procedures. Be that as it may, much examination had centered on customers brand knowledge and little is comprehended on how employees brand knowledge comprehends the brand. Employees brand knowledge is significant as they are the brand deliverers; henceforth this is important for them. Subsequently, this examination plans to inspect on how employees perceived and comprehend the banks brand heretofore. The investigation among 312 employees from banking sector uncovered that over 75% of the respondents surely knew their behavior, their own work and contribution. Banks goals and policies and customer expectations and almost over 60% of respondents know the brand meaning, targets customers, These employees accepted to carry on as needs be to the brand promise that later could satisfied customer. Conclusion and suggestion, future research likewise are examined toward the finish of this article.  Article visualizations

EXAMINES ACADEMIC LIBRARY USERS’ EXPERIENCE TOWARDS LIBRARY PATRONAGE IN STATE UNIVERSITIES IN SRI LANKA

Libraries and information centers are service units held with the responsibility of providing varied information services based on a number of resources. It covers tangible assets, namely library building, equipment, furniture, information resources and staff. The intangible element has been the information services provided by the libraries. The tangible assets and intangible services of libraries are changing greatly due to the development and changes in the area of information technology. The purpose of this study is to empirically investigate to accomplish the relationship between Service Quality dimensions, customer experience (CE) library patronage (LP) and library user attitude (LUA) in the context of university library service quality in Sri Lanka. In addition, it investigates the mediating effect of customer experience in the relationship between dimensions of library service quality and the library patronage.  Article visualizations

Stock market prediction using machine learning classifiers and social media, news

Accurate stock market prediction is of great interest to investors; however, stock markets are driven by volatile factors such as microblogs and news that make it hard to predict stock market index based on merely the historical data. The enormous stock market volatility emphasizes the need to effectively assess the role of external factors in stock prediction. Stock markets can be predicted using machine learning algorithms on information contained in social media and financial news, as this data can change investors’ behavior. In this paper, we use algorithms on social media and financial news data to discover the impact of this data on stock market prediction accuracy for ten subsequent days. For improving performance and quality of predictions, feature selection and spam tweets reduction are performed on the data sets. Moreover, we perform experiments to find such stock markets that are difficult to predict and those that are more influenced by social media and financial news. We compare results of different algorithms to find a consistent classifier. Finally, for achieving maximum prediction accuracy, deep learning is used and some classifiers are ensembled. Our experimental results show that highest prediction accuracies of 80.53% and 75.16% are achieved using social media and financial news, respectively. We also show that New York and Red Hat stock markets are hard to predict, New York and IBM stocks are more influenced by social media, while London and Microsoft stocks by financial news. Random forest classifier is found to be consistent and highest accuracy of 83.22% is achieved by its ensemble

Septic emboli of the lung due to Fusobacterium necrophorum, a case of Lemierre\u27s syndrome

© 2019 The Authors Fusobacterium necrophorum plays a causal role in a rare and life-threatening condition, Lemierre\u27s syndrome. It is characterized by infection involving the posterior compartment of the lateral pharyngeal space complicated by septic suppurative thrombophlebitis of the internal jugular vein with F. necrophorum bacteremia and metastatic abscesses, primarily to the lung and pulmonary septic emboli. Herein, we present a very rare case of oropharyngeal infection complicated by Lemierre\u27s syndrome with characteristic septic emboli to the lungs presenting as sore throat in a previously healthy patient. A 23-year-old woman presented with sore throat and was found to be in sepsis and acute kidney injury. She was found to have septic emboli in lung and Streptococcus anginosus and F. necrophorum in blood. She was diagnosed with Lemierre\u27s syndrome and successfully treated with antibiotics. Lemierre\u27s syndrome should be included in the differential diagnosis in young patients who deteriorate in the setting of a sore throat. If the suspicion is high, throat swabs from young patients with nonstreptococcal group A tonsillitis should be cultured anaerobically on selective medium to detect the presence of F. necrophorum. While clinicians of the infectious disease team may be familiar with this condition other departments including internal medicine and critical care team may less so. Unless clinicians are aware of this syndrome, diagnosis and treatment can be delayed leading to higher morbidity and mortality

Studying the Effect of Cutting Conditions in Turning Process on Surface Roughness for Different Materials

Surfaces quality is one of the most specified customer requirements for machine parts. The major indication of surfaces quality on machined parts is surface roughness. The research aim is to study the cutting conditions and their effects on the surface roughness. This research will use regression models and neuro-fuzzy to predict surface roughness over the machining time for variety of cutting conditions in turning. In the experimental part for turning, different types of materials (Aluminum alloy, brass alloy, and low carbon steel) were considered with different cutting speed, and feed rate. A linear regression and neuro-fuzzy model depending on statistical-mathematical method between surface roughness, Ra, and cutting condition will be derived, for the three materials. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimizing the surface roughness will be determined. The model will be established between the cutting conditions and surface roughness using regression and neuro-fuzzy model. As the results of this work, the linear regression and neuro-fuzzy model will be used in predicting surface roughness, can be used in manufacturing systems, this modeling helps engineer to reduce the efforts and improve the quality