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Various best practices and principles guide an ontology engineer when modeling Linked Data. The choice of appropriate vocabularies is one essential aspect in the guidelines, as it leads to better interpretation, querying, and consumption of the data by Linked Data applications and users.
In this paper, we present the various types of support features for an ontology engineer to model a Linked Data dataset, discuss existing tools and services with respect to these support features, and propose LOVER: a novel approach to support the ontology engineer in modeling a Linked Data dataset. We demonstrate that none of the existing tools and services incorporate all types of supporting features and illustrate the concept of LOVER, which supports the engineer by recommending appropriate classes and properties from existing and actively used vocabularies. Hereby, the recommendations are made on the basis of an iterative multimodal search. LOVER uses different, orthogonal information sources for finding terms, e.g. based on a best string match or schema information on other datasets published in the Linked Open Data cloud. We describe LOVER's recommendation mechanism in general and illustrate it alongrna real-life example from the social sciences domain.
The concept of hard and soft news (HSN) is regarded as one of the most important concepts in journalism research. Despites this popularity, two major research voids can be assigned to the concept. First, it lacks conceptual clarity: the concept gets used interchangeably with related concepts such as sensationalism, which has led to fuzzy demarcations of HSN. Also, it is still not agreed on of which dimensions the concept in composed. Second, little is known about the factors that influence the production of news in terms of their hard or soft nature. The present disserta-tion casts a twofold glance on the HSN concept – it aims to assess the conceptual status of the concept and production of hard and soft news.
At the outset, this dissertation delineates the theoretical base for three manuscripts in total and presented considerations on concepts in social sciences in general and hard and soft news in particular as well as the production of news, particularly of hard and soft news. The first paper proposed a theoretical frame-work model to distinguish HSN and related concepts. Based on a literature review of in total five concepts, this model suggested a hierarchy in which these concepts can be discerned according to their occurrence in media content. The second pa-per focused on the inner coherence of the HSN concept in its most recent academ-ic understanding. The results of a factorial survey with German newspaper jour-nalists showed that, indeed, four out of five dimensions of the HSN concept com-prised what the journalists understood by it. Hence, the most recent academic un-derstanding is to a great extent coherent. The third study shed light on the produc-tion of HSN, focusing on the influence of individual journalists’ and audience’s characteristics on whether news was presented in hard or soft way. The findings of a survey with simulated decision scenarios among German print journalists showed that the HSN dimensions were susceptible to different journalistic influ-ences and that a perceived politically uninterested audience led to a softer cover-age. The dissertation concluded with connecting these findings with the considera-tions on concept evaluation and the production of news. Implications for research on and with the concept of HSN were presented, before concluding with limitations and suggestions for future research.
Nandi forests (South and North Nandi forests) are situated in the Rift Valley Province of Kenya very close to Kakamega forest. From previous documents it has been seen that Kakamega and Nandi forests were connected to each other forming one big "U" shaped forest block till the beginnings of 1900s. Due to human pressures, currently there are three different forests form the previous one block forest. Although they were one forest, information on Nandi forests is very scanty when it is compared to that of Kakamega forest. The species composition and diversity as well as plant communities and population structure of Nandi forests have not been studied. Information is not available about the similarity status of South and North Nandi forests. Furthermore the natural regeneration potential (seedling bank) of these forests is not well studied and documented. Hence this study aims to fill these gaps.
In this study totally 76 quadrates (49 from South Nandi and 27 from North Nandi) were used to collect data. In the South Nandi forests 27 of the quadrates were laid in the better side of the forest (at Kobujoi) and the remaining 22 were in the heavily disturbed part of this forest (Bonjoge). The quadrates were arranged on transects that have one to one and half km which were parallel to the slope. The distance between the quadrates was 100 meter and transects are 500 m apart. The size of the main quadrate was 400 m2 (20 X 20 m) which also had five small plots (3 X 3 m) distributed on the four corners and in the center. Each woody plants (climbers, shrubs and trees) having more than one meter and greater than two centimeter diameter at breast height (dbh) were measured and recorded. Seedlings and herbaceous plants were sampled in the smaller plots. Individual plants were identified at species level and when it was not possible to identify in the field voucher specimen were prepared and latter identified at the East African Herbarium, National Museum of Kenya, and Nairobi. Clustering and ordination were performed using PC-ORD and CANOCO ecological softwares, respectively. For both clustering and ordination abundance data of the species was used. Shannon diversity index and evenness were computed using PC-ORD while similarity indices, Fisher alpha, rarefaction, species richness estimation (nonparametric species richness estimators) were conducted using EstimateS. Indicator species analysis was undertaken using PC-ORD. Basal area and height class distribution at forests level or site level (Bonjoge and Kobujoi) and diameter (dbh) class distribution for selected trees species were performed to evaluate population structure.
Furthermore importance value (IV) of woody plant species was calculated. SPSS version 16 was used to undertake both parametric (when data assume normal distribution) and nonparametric (when data are not assuming normal distribution) comparison of means, correlation and regression analysis.
In this study totally 321 vascular plant species comprising 92 families and 243 genera were identified in Nandi forests (both South and North Nandi forests). In South Nandi forest 253 plant species form 82 families and 201 genera were recorded while in North Nandi 181 species comprising 67 families and 155 genera were recorded. Jackknife second order estimators gave the highest species richness estimate for both South and North Nandi forests i.e. 284 and 209, respectively. In the case of highly disturbed and less disturbed parts of South Nandi forest 138 and 172 vascular plant species were recorded, respectively. Asteraceae, Rubiaceae and Euphorbiaceae are the top three species rich families of Nandi forests. In terms of different diversity measures (i.e. alpha and beta diversity, Fisher alpha, Shannon diversity and evenness indices) South Nandi is more diverse than North Nandi forest. Sörensen and Jaccard (classic) as well as their respective abundance based similarities showed that there is a low species similarity between South and Nandi forests. The cluster analysis resulted in three different plant communities and this result is supported by the ordination result.
South and North Nandi forest has inverted "J" height class distribution showing that larger proportion of woody plant individuals are found in the lower height classes. Similar pattern is observed when the diameters of all woody plants were considered together. However, different diameter class distributions (seven types) were identified when selected tree species were analyzed separately. It has been observed that the basal area of South Nandi forest is significantly lower than that of North Nandi forest (Mann-Whitney U =358, p < 0.001). Similarly Bonjoge has significantly lower basal area (t-value=3.77, p<0.01) than that of Kobujoi. Number of woody plat seedlings in South Nandi forest is significantly higher than that of North Nandi (Mann-Whitney U = 362.5, p<0.001). In the same way Bonjoge has significantly smaller number of ssedlings than Kobujoi (t-value 4.24, p<0.001). Most of species in both forests are able to resprout from stumps after physical damage; hence this helps the regeneration of the forests in addition to seedling banks. This study enables to fill some of the information gaps about Nandi forests especially of floristic composition, population structure, natural regeneration and human impacts on this ecosystem.
The intention of this thesis was to characterise the effect of naturally occurring multivalent cations like Calcium and Aluminium on the structure of Soil Organic Matter (SOM) as well as on the sorption behaviour of SOM for heavy metals such as lead.
The first part of this thesis describes the results of experiments in which the Al and Ca cation content was changed for various samples originated from soils and peats of different regions in Germany. The second part focusses on SOM-metal cation precipitates to study rigidity in dependence of the cation content. In the third part the effects of various cation contents in SOM on the binding strength of Pb cations were characterised by using a cation exchange resin as desorption method.
It was found for soil and peat samples as well as precipitates that matrix rigidity was affected by both type and content of cation. The influence of Ca on rigidity was less pronounced than the influence of Al and of Pb used in the precipitation experiments. For each sample one cation content was identified where matrix rigidity was most pronounced. This specific cation content is below the cation saturation as expected by cation exchange capacity. These findings resulted in a model describing the relation between cation type, content and the degree of networking in SOM. For all treated soil and precipitate samples a step transition like glass transition was observed, determined by the step transition temperature T*. It is known from literature that this type of step transition is due to bridges between water molecules and organic functional groups in SOM. In contrast to the glass transition temperature this thermal event is slowly reversing after days or weeks depending on the re-conformation of the water molecules. Therefore, changes of T* with different cation compositions in the samples are explained by the formation of water-molecule-cation bridges between SOM-functional groups. No influence on desorption kinetics of lead for different cation compositions in soil samples was observed. Therefore it can be assumed that the observed changes of matrix rigidity are highly reversible by changing the water status, pH or putting agitation energy by shaking in there.
This thesis is concerned with an issue of considerable importance to the development of revision skills: the role of teacher feedback. Prompted by the concern to develop a model of instruction which will help students write to the best of their capacities, the present study forms a proposal: an interactive model of revision. The study researches whether the kind of feedback proposed in this model is indeed a helpful tool for revision and whether the kind of negotiated revision that occurs is a vehicle for learning. The first section of the thesis reviews different areas of literature which are relevant to the study. More specifically, Chapter 2 presents the historical and theoretical foundations of different writing instructional practices and sheds light on issues concerning the use of the process approach. It also reviews research based on sociocognitive theoretical perspectives in an attempt to delineate the impact of interpersonal or social activity on individual performance and progress. Chapter 3 examines issues associated with the process approach in particular and illustrates how theory and method come together in a process writing classroom. Chapter 4 presents the differences in revising behaviours between experienced and inexperienced writers in both L1 and L2 contexts and the various ways these differences have been justified. It also highlights a number of issues which have been identified as contributing to effective revision. Particular attention is paid to the role that teacher feedback has to play as a means of promoting substantive student revision with an instructional emphasis on fluency, organisation and language. Chapter 5 presents an interactive model of revision, which envisions a communicative exchange between two partners, the student-writer and the teacher-reader, collaborating in order to develop awareness of revision strategies and establish criteria for effective writing. Chapter 6 investigates the epistemological basis of the research and presents a set of research questions and hypotheses, which guided the investigation. Chapter 7 frames the context of the research and details the methods used to collect the data from the study. The study involved 100 Year 7 students in two gymnasia in Koblenz, Germany. During the time of the investigation, the students wrote and revised five tasks. Three of these tasks were revised after receiving teacher feedback, which focused on aspects such as appropriacy and sufficiency of information, organization, coherence and grammatical accuracy. The study investigates the effects of this kind of focused feedback on the students" revisions and explores the relationship between revision and text improvement. Large quantitative and qualitative data sets were generated during the research. The quantitative data was based on the student documents (1000 original and revised drafts) whereas the qualitative data emerged from student questionnaires and seven case studies. Chapter 8 presents descriptions of the data analyses. More specifically, it describes the initial and final coding of the revisions traced in the student documents. Then it focuses on the type of qualitative analysis employed in the case studies in order to investigate the relationship between revision and text improvement. The final section of the chapter describes the questionnaire analysis, which was carried out to investigate attitudes, benefits and constraints from the implementation of the model. Chapter 9 examines the statistical results from the analysis of the students" revisions. More specifically, it explores the revisions made by the students across tasks and the relationships between the features of the teacher feedback and these revisions. The analysis highlights patterns in the development of revision skills and positive correlations of student revisions with features of the teacher feedback. Chapter 10 looks at the descriptive data from the case studies of seven individual student writers. The analysis of this data illustrates how the specific students negotiated the revisions and sheds more light on the relationship between feedback, revision and text improvement. Chapter 11 contains the analysis of the students" answers to the questionnaire, which provide illuminative information about the feedback-related attitudes. In Chapter 12, the thesis reaches its final destination. The journey over the paths of literature exploration, data gathering and data analysis ends with reflections on the messages that emerge from the data analysis. The conclusion reached is that young students can learn how to revise their writing and focused feedback is a viable pedagogic option for teaching revision. In addition to discussing the findings, this final section considers the pedagogical implications for the teaching of writing and suggests possible avenues for further work.
Digital Transformation Maturity of Vietnam Aviation Industry: The Effect of Organizational Readiness
(2023)
The paper studies the digital transformation maturity in the context of the aviation industry in Vietnam. Digital transformation can mean enhancing existing processes, finding new opportunities within existing business domains, or finding new opportunities outside existing business domains. In the era of post Covid-19, digital transformation will play a vital role in the recovery with the support from digital technology to leverage the communication and implementation of new projects or changes.
Digital transformation and digital transformation maturity sometimes are used indistinguishing, but they are two different definitions. This paper will further explain the differences and will apply digital transformation maturity as a scale for the digital transformation in the report.
Due to the lack of experiment in the relationship between digital transformation maturity and the organizational readiness, the study will explore four components of organizational readiness, including digital leadership, digital culture, digital capabilities, and digital partnering.
To render the surface of a material capable of withstanding mechanical and electrochemical loads, and to perform well in service, the deposition of a thin film or coating is a solution. In this project, such a thin film deposition is carried out. The coating material chosen is titanium nitride (TiN) which is a ceramic material known to possess a high hardness (>10 GPa) as well as good corrosion resistance. The method of deposition selected is high power impulse magnetron sputtering (HiPIMS) that results in coatings with high quality and enhanced properties. Sputtering is a physical process that represents the removal or dislodgment of surface atoms by energetic particle bombardment. The term magnetron indicates that a magnetic field is utilized to increase the efficiency of the sputtering process. In HiPIMS, a high power is applied in pulses of low duty cycles to a cathode that is sputtered and that consists of the coating material. As result of the high power, the ionization of the sputtered material takes place giving the possibility to control these species with electric and magnetic field allowing thereby the improvement and tuning of coating properties. However, the drawback of HiPIMS is a low deposition rate.
In this project, it is demonstrated first that it is possible to deposit TiN coating using HiPIMS with an optimized deposition rate, by varying the magnetic field strength. It was found that low magnetic field strength (here 22mT) results in a deposition rate similar to that of conventional magnetron sputtering in which the average power is applied continuously, called also direct current magnetron sputtering (dcMS). The high deposition rate at low magnetic field strength was attributed to a reduction in the back attraction probability of the sputtered species. The magnetic field strength did not show noticeable influence on the mechanical properties. The proposed explanation was that the considered peak current density interval 1.22-1.72 A∙cm-2 does not exhibit dramatic changes in the plasma dynamics.
In a second part, using the optimized deposition rate, the optimized chemical composition of TiN was determined. It was shown that the chemical composition of TiN does not significantly influence the corrosion performance but impacts considerably the mechanical properties. It was also shown that the corrosion resistance of the coatings deposited using HiPIMS was higher than that of the coatings deposited using dcMS.
The third study was the effect of annealing post deposition on the properties of TiN coating deposited using HiPIMS. The hardness of the coatings showed a maximum at 400°C reaching 24.8 GPa. Above 400°C however, a lowering of the hardness was measured and was due to the oxidation of TiN which led to the formation of TiN-TiO2 composites with lower mechanical properties.
The coating microscopic properties such as crystal orientation, residual stresses, average grain size were determined from X-ray diffraction data and the roughness was measured using atomic force microscopy. These properties were found to vary with the magnetic field strength, the chemical composition as well as the annealing temperature.
This study had two main aims. The first one was to investigate the quality of lesson plans. Two important features of lesson plans were used as a basis to determine the quality of lesson plans. These are adaptability to preconditions and cognitive activation of students. The former refers to how the planning teacher considers the diversity of students pre-existing knowledge and skills. The latter refers to how the planning teacher sequences deep learning tasks and laboratory activities to promote the cognitive activation of students.
The second aim of the study was to explore teachers thinking about and explanation of externally generated feedback data on their students’ performance. The emphasis here was to understand how the teachers anticipate planning differentiated lessons to accommodate the variations in students learning outcomes revealed by the feedback data.
The study followed a qualitative approach with multiple sources of data. Concept maps, questionnaires, an online lesson planning tool, standardized tests, and semi-structured interviews were the main data collection instruments used in the study. Participants of this study were four physics teachers teaching different grade levels. For the purpose of generating feedback for the participant teachers, a test was administered to 215 students. Teachers were asked to plan five lessons for their ongoing practices. The analysis showed that the planned lessons were not adapted to the diversity in students pre-existing knowledge and skills. The analysis also indicated that the lessons planned had limitations with regard to cognitive activation of students. The analysis of the interview data also revealed that the participant teachers do not normally consider differentiating lessons to accommodate the differences in students learning, and place less emphasis on the cognitive activation of students. The analysis of the planned lessons showed a variation in teachers approach in integrating laboratory activities in the sequence of the lessons ranging from a complete absence through a demonstrative to an investigative approach. Moreover, the findings from the interviews indicated differences between the participant teachers espoused theory (i.e. what they said during interview) and their theory- in –use (i.e. what is evident from the planned lessons). The analysis of the interview data demonstrated that teachers did not interpret the data, identify learning needs, draw meaningful information from the data for adapting (or differentiating) instruction. They attributed their students’ poor performance to task difficulty, students’ ability, students’ motivation and interest. The teachers attempted to use the item level and subscale data only to compare the relative position of their class with the reference group. However, they did not read beyond the data, like identifying students learning needs and planning for differentiated instruction based on individual student’s performance.
Aquatische Ökosysteme sind einer Vielzahl an Umweltstressoren sowie Mischungen chemischer Substanzen ausgesetzt, darunter Petroleum und Petrochemikalien, Metalle und Pestizide. Aquatische Gemeinschaften wirbelloser Arten werden als Bioindikatoren genutzt,
um Langzeit- sowie integrale Effekte aufzuzeigen. Die Information über das Vorkommen von Arten kann dabei um weitere Informationen zu Eigenschaften dieser Arten ergänzt werden.
SPEAR-Bioindikatoren fassen diese Informationen für Artengemeinschaften zusammen.
Ziel der vorliegenden Doktorarbeit war es, die Spezifität von SPEAR-Indikatoren gegenüber
einzelnen Chemikaliengruppen zu verbessern – speziell für Ölsand-Bestandteile,
Kohlenwasserstoffe und Metalle.
Für die Entwicklung eines Bioindikators für diskontinuierliche Belastung mit organischen Ölbestandteilen wurde eine Freilandbeprobung in der kanadischen Ölsand-Abbauregion im nördlichen Alberta durchgeführt. Die Arteneigenschaften „physiologische Sensitivitiät
gegenüber organischen Chemikalien“ sowie „Generationszeit“ wurden in einem Indikator,
SPEARoil, integriert, welcher die Sensitivität der Artengemeinschaften gegenüber Ölsand-Belastung in Abhängigkeit von luktuierenden hydrologischen Bedingungen aufzeigt.
Äquivalent zum SPEARorganic-Ansatz wurde eine Rangliste der physiologischen Sensitivität einzelner Arten gegenüber Kohlenwasserstoff-Belastung durch Rohöl oder Petroleum
entwickelt. Hierfür wurden Informationen aus ökotoxikologischen Kurzzeit-Laborversuchen durch Ergebnisse aus Schnell- und Mesokosmen-Tests ergänzt. Die daraus entwickelten
Shydrocarbons-Sensitivitätswerte können in SPEAR-Bioindikatoren genutzt werden.
Um Metallbelastung in Gewässern mittels Bioindikatoren spezifisch nachweisen zu können,
wurden die Arteneigenschaften „physiologische Metallsensitivität“ und „Ernährungsweise“
von Artengemeinschaften in australischen Feldstudien ausgewertet. Sensitivitätswerte für
Metalle erklärten die Effekte auf die Artengemeinschaften im Gewässer jedoch unzureichend.
Die „Ernährungsweise“ hingegen war stark mit der Metallbelastung korreliert. Der Anteil räuberischer Invertebratenarten in einer Gemeinschaft kann daher als Indikator für Metallbelastung in Gewässern dienen.
Weiterhin wurden verschiedene Belastungsanzeiger für Chemikalien-Cocktails in der Umwelt anhand von Pestizid-Datensätzen verglichen. Belastungsanzeiger, die auf der 5%-Fraktion
einer Species-Sensitivity-Distribution beruhen, eigneten sich am besten, gefolgt von Toxic Unit-Ansätzen, die auf der sensitivsten Art einer Gemeinschaft oder Daphnia magna beruhen.