Statistical Investigation of Climate Change Effects on the Utilization of the Sediment Heat Energy

Suvilahti, a suburb of the city of Vaasa in western Finland, was the first area to use seabed sediment heat as the main source of heating for a high number of houses. Moreover, in the same area, a unique land uplift effect is ongoing. The aim of this paper is to solve the challenges and find opportunities caused by global warming by utilizing seabed sediment energy as a renewable heat source. Measurement data of water and air temperature were analyzed, and correlations were established for the sediment temperature data using Statistical Analysis System (SAS) Enterprise Guide 7.1. software. The analysis and provisional forecast based on the autoregression integrated moving average (ARIMA) model revealed that air and water temperatures show incremental increases through time, and that sediment temperature has positive correlations with water temperature with a 2-month lag. Therefore, sediment heat energy is also expected to increase in the future. Factor analysis validations show that the data have a normal cluster and no particular outliers. This study concludes that sediment heat energy can be considered in prominent renewable production, transforming climate change into a useful solution, at least in summertime.

Response Surface Methodology for 30 kW PEMFC stack characterization

Hydrogen is a promising energy carrier to allow the reach of the zero-emission targets established for the next years. Polymeric Electrolyte Membrane FC are studied inside the HI-SEA laboratory of the University of Genoa, to assess the opportunities of this technology on marine applications. Here, 8 PEMFC stacks, sized 30 kW each for a total power installation of 240 kW, have been tested to draw guidelines for the best system design onboard ships and to deepen the know-how on the experimental management of the technology. During the tests, it was possible to observe the reciprocal influence of some parameters, which may influence the system efficiency. In this work, a statistical investigation is developed to quantify the cell voltage variation correlated to the values of temperature and current. This has been possible thanks to Design Expert (DE), a software developed by Stat-EASE, Inc. Through the Design of Experiment approach, it is possible to evaluate the significance of variables in the FC system, called factors. The experiment under consideration is also characterized by non-controllable factors, cause of disturbances that induce further variability in the response. Eventually, it was possible to analyse the significance of the parameters involved, to build a regression model by performing the analysis of variance with which the significant values are identified, and to assess the presence of outliers.

EFFECT OF TEST ANXIETY ON STUDENTS’ ACADEMIC PERFORMANCE: A SURVEY STUDY OF PUNJAB SECONDARY SCHOOLS

This research inquiry was conducted to probe the consequence of test anxiety on students’ academic performance. The research design was descriptive, while the quantitative research approach adopted for the purpose of collecting and interpreting the desired information. 504 students (252 male and 252 female students) of the 10th class were selected as sample from nine cities of Punjab. The Westside Test Anxiety Scale for measuring test anxiety which was prepared by Richard Driscoll, Ph.D. available on the American Test Anxiety Association web was used to gauge the test anxiety of the students. For statistical investigation and interpretation, Pearson r was exercised. The findings of the study supported the research hypothesis as a significant correlation (r= -.072*) in students with higher anxiety and their academic performance and in students with low anxiety with their academic performance (r= -.083*) was found. The study also hypothesized that as the degree of anxiety raisin the level of academic performance would decline and vice versa. The value of Pearson r showed a significant connection between test anxiety and academic achievement/ performance as p< .05. Thus the null hypotheses of the study were rejected.

Evaluate Student Satisfaction of Student Information System Utilising Technology Acceptance Model and Trust in China

In this study, the factors affecting student satisfaction with student information systems have been investigated by applied Technology Acceptance Model and rust. Partial least squares structural equation modelling implemented to study these factors. 400 authentic responses from overseas students in a large number of universities located in Jiangsu province China have been evaluated. The statistical investigation findings demonstrate that student trust has a considerable effect on student satisfaction; meanwhile, the behavioural intention of use has no significant impact on student satisfaction.