title: Contrasting object-relational and RDF modelling in a Tourist Information System

authors: Hinze, Annika

subjects: computer science

abstract: Advanced tourist information systems should deliver more than weakly-related static information about sights. Instead, semantically-rich information about sights (e.g., groups of sights with same characteristics) should be delivered to the mobile users. Furthermore, tourists should not be overwhelmed by a stream of superfluous data unrelated to their interest and location. Personalization of the information delivery to each traveller, together with his or her travel history, is therefore crucial. 
In this paper, we describe the lessons learned from developing the kernel of an advanced tourist information provider using a semantic network of sight-related information and considering the travellers' interest and travel route. The system is a combination of event notification services (publish/subscribe) and location-based services (LBS). For modelling all relevant data, two approaches are compared: a RDF-based model and an object-relational model.

text: Contrasting object-relational and RDF modelling in a Tourist Information System Advanced tourist information systems should deliver more than weakly-related static information about sights. Instead, semantically-rich information about sights (e.g., groups of sights with same characteristics) should be delivered to the mobile users. Furthermore, tourists should not be overwhelmed by a stream of superfluous data unrelated to their interest and location. Personalization of the information delivery to each traveller, together with his or her travel history, is therefore crucial. 
In this paper, we describe the lessons learned from developing the kernel of an advanced tourist information provider using a semantic network of sight-related information and considering the travellers' interest and travel route. The system is a combination of event notification services (publish/subscribe) and location-based services (LBS). For modelling all relevant data, two approaches are compared: a RDF-based model and an object-relational model.

year: 2004

title: Effective active learning strategies I have used in University class room

authors: Talele, Sadhana

abstract: In this paper I summarize the various activities used in class room and laboratory teaching of first and second year engineering. These activities can be grouped under ‘active learning’. I describe the activities and the various attributes associated with each activity along with the advantages of using the mentioned activity model instead of simply a single ended lecturing model. Although most of these have erupted from an urge to increase students learning while making the topics increasingly interesting for them, most of these strategies have been researched out globally as effective teaching practices. Traditionally lecturers may think that they are doing active learning when questions are asked and a few students always answer or discussions amongst the same group of people take place from time to time. Although this includes student participation, it is engaging only a small fraction of a big class which is not optimum in terms of benefit to the class as whole and individuals of the class. Active learning is taking place in your class when you ask a question, pose a problem, or throw some type of challenge at them; ask your students to work individually or in pairs or small groups to come up with a response; give them some set time to do it; stop them, and invite one or more individuals or groups to share their responses with the class. The teacher as an expert can further comment on the answer if required. This paper concludes with a number of proven methods of including active learning strategies in first and second year Physics/electronics engineering class. Reference to global research about these strategies is included.

text: Effective active learning strategies I have used in University class room In this paper I summarize the various activities used in class room and laboratory teaching of first and second year engineering. These activities can be grouped under ‘active learning’. I describe the activities and the various attributes associated with each activity along with the advantages of using the mentioned activity model instead of simply a single ended lecturing model. Although most of these have erupted from an urge to increase students learning while making the topics increasingly interesting for them, most of these strategies have been researched out globally as effective teaching practices. Traditionally lecturers may think that they are doing active learning when questions are asked and a few students always answer or discussions amongst the same group of people take place from time to time. Although this includes student participation, it is engaging only a small fraction of a big class which is not optimum in terms of benefit to the class as whole and individuals of the class. Active learning is taking place in your class when you ask a question, pose a problem, or throw some type of challenge at them; ask your students to work individually or in pairs or small groups to come up with a response; give them some set time to do it; stop them, and invite one or more individuals or groups to share their responses with the class. The teacher as an expert can further comment on the answer if required. This paper concludes with a number of proven methods of including active learning strategies in first and second year Physics/electronics engineering class. Reference to global research about these strategies is included.

year: 2013

title: Epidemiological evidence that can help to improve timely diagnosis of colorectal cancer in New Zealand.

authors: Hirsz, Malgorzata

subjects: Colorectal cancer

abstract: Incidence rates of colorectal cancer (CRC) in New Zealand (NZ) are among the highest in the world. The long-term survival rates in NZ are poor, which has partially been attributed to late diagnosis. Considering that CRC is a curable disease if diagnosed early, conducting research targeted at the improvement of early diagnosis is therefore important. This thesis provides statistical models for the calculation of CRC incidence rates in the entire NZ population and population strata defined by age, gender, ethnicity and diabetes status, and a model for CRC risk in individual patients referred to the secondary care. The models presented here could assist health professionals in the selection of patients for further investigation to facilitate earlier diagnosis. The empirical part consists of three independent observational studies, briefly described below.

Sub-study 1. The objectives were, first, to describe trends in CRC incidence in the NZ population and, second, to investigate whether there are any strata defined by gender and ethnicity with especially increased incidence rates of CRC. To address these objectives, I analysed data from the New Zealand Cancer Registry (years 1994–2018) using an age- period-cohort (APC) model. The overall CRC incidence rates in NZ decreased between 1994 and 2018 by an average of 1.31% per year. However, the decrease was observed only in patients 50 years and older. In those 30-<50 years old, the incidence rates increased between 1994 and 2018 regardless of gender and ethnicity. The increase was similar for proximal, distal and rectal cancers. The APC analyses revealed very strong cohort effects that could explain nearly the entire trends in CRC incidence, pointing out generations born in the 1970s and 80s being affected by the increased incidence rates, rather than individuals 30-<50 years old. The cohort effects were different in Ma ̄ori and non-Ma ̄ori populations. In non-Ma ̄ori born between approximately 1939 and 1955, incidence rates decreased sharply. By contrast, those Ma ̄ori generations have not benefitted from the sharp decrease in rates. However, CRC incidence increased substantially in both M ̄aori and non-M ̄aori groups born in the 1970s and 80s.

Sub-study 2. The objective was to estimate the IRR for CRC in patients with diabetes compared to those without diabetes, with relation to diabetes duration and use of insulin for diabetes control. Registration in the Virtual Diabetes Register (VDR) in the years 2014–2018 was used as a marker of a diabetes diagnosis. Tables with counts of the entire NZ population stratified by age, gender, and ethnicity were obtained from Statistics NZ. In total, data from 310,710 patients with diabetes, corresponding to 1,277,284 person- years and 2512 incident CRC cases were analysed using a Poisson regression model. Diabetes was associated with an overall increased CRC incidence of 13% compared to non-diabetes [IRR=1.13 (95% CI: 1.08, 1.18)]. The IRR was especially high in the first three months after diabetes diagnosis [IRR=2.55 (95% CI 2.02, 3.21)], likely due to detection bias. The association was equally strong in males and females. However, in the analysis by ethnicity, the incidence of CRC was increased only in non-Ma ̄ori patients and restricted only to those younger than 75 years.

Sub-study 3. The objective was to develop a predictive model for CRC risk in individual patients referred to secondary care. To develop such a model, I extracted information from free text included in e-referrals from GPs’ to the Gastroenterology and General Surgery departments in the Waikato Hospital from 2015-2018, including: symptoms; test results; and family history of CRC. The reference test was a full colonoscopy with visualisation of the cecum. Data from 3015 patients, 20-<90 years old were analysed using a logistic regression model. The final model included the following predictors associated with increased CRC risk: anaemia, rectal bleeding, palpable mass in abdomen or rectum, weight loss, age and gender, and a decreased CRC risk: family history of CRC, abdominal pain, and inflammatory bowel disease. The model discriminates patients with low CRC risk well. According to the final cross-validated model, around 20% of patients from our cohort had performed colonoscopy despite a very low CRC risk (less than 1.5%).

In conclusion, the APC analysis revealed an alarming pattern. According to the fitted APC model, the combination of increasing age and cohort effect in generations born in the 1970s and 80s will bring a wave of CRC diagnoses in the near future when the young generations with high CRC incidence rates will replace the old generations with low CRC incidence. The results from this study could therefore help policy-makers to plan the needs for gastroenterology services.
Secondly, CRC incidence rates in diabetes have been found to be slightly increased com- pared to non-diabetes but only in non-Ma ̄ori individuals younger than 75 years.
Third, the results suggest that males underutilise health services. As shown in sub- study 3, males underwent fewer colonoscopies than females, despite having a higher risk of CRC. The higher detection bias in males than in females (sub-study 2) could also suggest underuse of health services by males, but the difference was not statistically significant.
Finally, based on the fitted models for CRC incidence in sub-studies 1 and 2, population- wide CRC screening for Ma ̄ori and patients with diabetes, based on the incidence, instead of age alone, would be proposed to start at age 57.5 years if the screening in the general population starts at age 60 years.

text: Epidemiological evidence that can help to improve timely diagnosis of colorectal cancer in New Zealand. Incidence rates of colorectal cancer (CRC) in New Zealand (NZ) are among the highest in the world. The long-term survival rates in NZ are poor, which has partially been attributed to late diagnosis. Considering that CRC is a curable disease if diagnosed early, conducting research targeted at the improvement of early diagnosis is therefore important. This thesis provides statistical models for the calculation of CRC incidence rates in the entire NZ population and population strata defined by age, gender, ethnicity and diabetes status, and a model for CRC risk in individual patients referred to the secondary care. The models presented here could assist health professionals in the selection of patients for further investigation to facilitate earlier diagnosis. The empirical part consists of three independent observational studies, briefly described below.

Sub-study 1. The objectives were, first, to describe trends in CRC incidence in the NZ population and, second, to investigate whether there are any strata defined by gender and ethnicity with especially increased incidence rates of CRC. To address these objectives, I analysed data from the New Zealand Cancer Registry (years 1994–2018) using an age- period-cohort (APC) model. The overall CRC incidence rates in NZ decreased between 1994 and 2018 by an average of 1.31% per year. However, the decrease was observed only in patients 50 years and older. In those 30-<50 years old, the incidence rates increased between 1994 and 2018 regardless of gender and ethnicity. The increase was similar for proximal, distal and rectal cancers. The APC analyses revealed very strong cohort effects that could explain nearly the entire trends in CRC incidence, pointing out generations born in the 1970s and 80s being affected by the increased incidence rates, rather than individuals 30-<50 years old. The cohort effects were different in Ma ̄ori and non-Ma ̄ori populations. In non-Ma ̄ori born between approximately 1939 and 1955, incidence rates decreased sharply. By contrast, those Ma ̄ori generations have not benefitted from the sharp decrease in rates. However, CRC incidence increased substantially in both M ̄aori and non-M ̄aori groups born in the 1970s and 80s.

Sub-study 2. The objective was to estimate the IRR for CRC in patients with diabetes compared to those without diabetes, with relation to diabetes duration and use of insulin for diabetes control. Registration in the Virtual Diabetes Register (VDR) in the years 2014–2018 was used as a marker of a diabetes diagnosis. Tables with counts of the entire NZ population stratified by age, gender, and ethnicity were obtained from Statistics NZ. In total, data from 310,710 patients with diabetes, corresponding to 1,277,284 person- years and 2512 incident CRC cases were analysed using a Poisson regression model. Diabetes was associated with an overall increased CRC incidence of 13% compared to non-diabetes [IRR=1.13 (95% CI: 1.08, 1.18)]. The IRR was especially high in the first three months after diabetes diagnosis [IRR=2.55 (95% CI 2.02, 3.21)], likely due to detection bias. The association was equally strong in males and females. However, in the analysis by ethnicity, the incidence of CRC was increased only in non-Ma ̄ori patients and restricted only to those younger than 75 years.

Sub-study 3. The objective was to develop a predictive model for CRC risk in individual patients referred to secondary care. To develop such a model, I extracted information from free text included in e-referrals from GPs’ to the Gastroenterology and General Surgery departments in the Waikato Hospital from 2015-2018, including: symptoms; test results; and family history of CRC. The reference test was a full colonoscopy with visualisation of the cecum. Data from 3015 patients, 20-<90 years old were analysed using a logistic regression model. The final model included the following predictors associated with increased CRC risk: anaemia, rectal bleeding, palpable mass in abdomen or rectum, weight loss, age and gender, and a decreased CRC risk: family history of CRC, abdominal pain, and inflammatory bowel disease. The model discriminates patients with low CRC risk well. According to the final cross-validated model, around 20% of patients from our cohort had performed colonoscopy despite a very low CRC risk (less than 1.5%).

In conclusion, the APC analysis revealed an alarming pattern. According to the fitted APC model, the combination of increasing age and cohort effect in generations born in the 1970s and 80s will bring a wave of CRC diagnoses in the near future when the young generations with high CRC incidence rates will replace the old generations with low CRC incidence. The results from this study could therefore help policy-makers to plan the needs for gastroenterology services.
Secondly, CRC incidence rates in diabetes have been found to be slightly increased com- pared to non-diabetes but only in non-Ma ̄ori individuals younger than 75 years.
Third, the results suggest that males underutilise health services. As shown in sub- study 3, males underwent fewer colonoscopies than females, despite having a higher risk of CRC. The higher detection bias in males than in females (sub-study 2) could also suggest underuse of health services by males, but the difference was not statistically significant.
Finally, based on the fitted models for CRC incidence in sub-studies 1 and 2, population- wide CRC screening for Ma ̄ori and patients with diabetes, based on the incidence, instead of age alone, would be proposed to start at age 57.5 years if the screening in the general population starts at age 60 years.

year: 2021