The Impact of New Media Literacy and Supply Chain Knowledge Management on Community Economy in Indonesia

This study aims to examine the impact of new media and supply chain knowledge management on community economy in Indonesia. This quantitative research method is distributed questionnaires to 157 respondents from retail sector in Indonesian. Based on dimensions of new media literacy, the strongest dimension is visualization with the highest average value of 3.40. Visualization enhances entrepreneur innovation in supply chain knowledge management. The results of this study indicate that new media literacy helps consumers on community economy in Indonesia

Correlative visualization techniques for multidimensional data

Critical to the understanding of data is the ability to provide pictorial or visual representation of those data, particularly in support of correlative data analysis. Despite the advancement of visualization techniques for scientific data over the last several years, there are still significant problems in bringing today's hardware and software technology into the hands of the typical scientist. For example, there are other computer science domains outside of computer graphics that are required to make visualization effective such as data management. Well-defined, flexible mechanisms for data access and management must be combined with rendering algorithms, data transformation, etc. to form a generic visualization pipeline. A generalized approach to data visualization is critical for the correlative analysis of distinct, complex, multidimensional data sets in the space and Earth sciences. Different classes of data representation techniques must be used within such a framework, which can range from simple, static two- and three-dimensional line plots to animation, surface rendering, and volumetric imaging. Static examples of actual data analyses will illustrate the importance of an effective pipeline in data visualization system

Development of augmented reality integrated physics e-worksheet to improve students' problem-solving skills

The STEM approach through the augmented reality usage can provide visualization to students in online learning. The purposes of this research are to develop Physics E-Worksheet based on STEM using augmented reality system, and to improve the problem-solving skills of high school students on Momentum and Impulse material. The type of research used is research and development (R&D) with a 4D model (define, design, develop and disseminate). This study involved 24 students as a field trial class and 31 students in class X as a field operational class. The results of this study are: This Physics AR E-Worksheet is valid and reliable for use in the physics learning process for Momentum and Impulse material based on the results of validation analysis using an average value of a scale of four with a score of 3.73 in very good criteria. The results of the Paired T-Test analysis showed the value of Sig. 0.00, so that there is an effect of using AR Physics E-Worksheet on improving problem-solving skills of high school students. The score of Normalized Gain obtained 0.77 in high category improvement. The results showed that the AR Physics E-Worksheet was effective in improving problem solving skills so that it could be used as a learning medium for the Momentum and Impulse topic by class X science students

An interdisciplinary approach to classical and quantum random walk: an activity with secondary school students

The thesis is a follow up of the “I SEE project” (Inclusive STEM Education to Enhance the capacity to aspire and imagine future careers), a triennial ERASMUS+ project, started in 2016 and ended in September 2019, coordinated by the Department of Physics and Astronomy of the University of Bologna (https://iseeproject.eu/). The main aim of the project is to design of teaching modules on advanced interdisciplinary STEM topics, such as climate change, quantum computers or artificial intelligence, for secondary school students. The approach developed toward these STEM topics reflects the need of updating Science Education and preparing students to address the socio-scientific challenges that the world compels us to face. The work of this thesis concerns the design and the development of an activity on classical and quantum random walk that aims to: i. carry out the intrinsic interdisciplinarity of the topic, ii. highlight the differences between the logic at the basis of the classical and quantum computers. It is designed in the light of a follow-up of the I SEE project, the IDENTITIES project (https://identitiesproject.eu/). IDENTITIES (Integrate Disciplines to Elaborate Novel Teaching approaches to InTerdisciplinarity and Innovate pre-service teacher Education for STEM challenges) is an ERASMUS+ project, started in September 2019 and coordinated by the Department of Physics and Astronomy of the University of Bologna. This project, more focused on interdisciplinary themes, provides a lens to explore the random walk as a context in which we can investigate, on one hand, the peculiarities of the disciplines involved and, on the other, their intertwining. A future-oriented part, my main contribution to the activity, is carried out in order to foster students to explore the wide range of application and implication that random walk hides and to show them the variety of STEM carriers that can be involved

Experimental Products Development Team (EPDT)

No abstract availabl

Experimental Products Development Team (EPDT) Supporting New AWIPS II Capabilities

No abstract availabl

Bridges to Change: From the Classroom Community to Weeksville An Integrated and Thematic Curriculum

Bridges to Change is a curriculum designed for use in a third grade inclusive classroom. This curriculum serves a dual purpose: (1) to provide teachers and students with activities that are designed to build and forge a sense of classroom community and (2) to provide teachers with built-in modifications and adaptations-thereby making the curriculum accessible to students at all levels. A wide array of sources was used in the creation of this curriculum. Understanding by Design and Universal Design for Learning were instrumental in laying the foundation for this work. Understanding by Design\u27s backwards design approach was instrumental in the creation and conception of essential questions and understandings, learning activities, and relevant assessments. Universal Design for Learning\u27s theoretical framework was used as a guide in the adaptations and modifications made throughout the curriculum units. In addition to these sources, literature on experiential learning, community-building activities, and the Weeksville community. At the conclusion of this two-unit curriculum, students will have two experiences designed to help them understand the change process that occurs within communities- the first within their own classroom community and the second within the context of a hands-on, experiential study of the Weeksville community. The intended outcome is for students to emerge with the ability to articulate the changes they witnessed and experienced

Web-based Stereoscopic Collaboration for Medical Visualization

Medizinische Volumenvisualisierung ist ein wertvolles Werkzeug zur Betrachtung von Volumen- daten in der medizinischen Praxis und Lehre. Eine interaktive, stereoskopische und kollaborative Darstellung in Echtzeit ist notwendig, um die Daten vollständig und im Detail verstehen zu können. Solche Visualisierung von hochauflösenden Daten ist jedoch wegen hoher Hardware- Anforderungen fast nur an speziellen Visualisierungssystemen möglich. Remote-Visualisierung wird verwendet, um solche Visualisierung peripher nutzen zu können. Dies benötigt jedoch fast immer komplexe Software-Deployments, wodurch eine universelle ad-hoc Nutzbarkeit erschwert wird. Aus diesem Sachverhalt ergibt sich folgende Hypothese: Ein hoch performantes Remote- Visualisierungssystem, welches für Stereoskopie und einfache Benutzbarkeit spezialisiert ist, kann für interaktive, stereoskopische und kollaborative medizinische Volumenvisualisierung genutzt werden. Die neueste Literatur über Remote-Visualisierung beschreibt Anwendungen, welche nur reine Webbrowser benötigen. Allerdings wird bei diesen kein besonderer Schwerpunkt auf die perfor- mante Nutzbarkeit von jedem Teilnehmer gesetzt, noch die notwendige Funktion bereitgestellt, um mehrere stereoskopische Präsentationssysteme zu bedienen. Durch die Bekanntheit von Web- browsern, deren einfach Nutzbarkeit und weite Verbreitung hat sich folgende spezifische Frage ergeben: Können wir ein System entwickeln, welches alle Aspekte unterstützt, aber nur einen reinen Webbrowser ohne zusätzliche Software als Client benötigt? Ein Proof of Concept wurde durchgeführt um die Hypothese zu verifizieren. Dazu gehörte eine Prototyp-Entwicklung, deren praktische Anwendung, deren Performanzmessung und -vergleich. Der resultierende Prototyp (CoWebViz) ist eines der ersten Webbrowser basierten Systeme, welches flüssige und interaktive Remote-Visualisierung in Realzeit und ohne zusätzliche Soft- ware ermöglicht. Tests und Vergleiche zeigen, dass der Ansatz eine bessere Performanz hat als andere ähnliche getestete Systeme. Die simultane Nutzung verschiedener stereoskopischer Präsen- tationssysteme mit so einem einfachen Remote-Visualisierungssystem ist zur Zeit einzigartig. Die Nutzung für die normalerweise sehr ressourcen-intensive stereoskopische und kollaborative Anatomieausbildung, gemeinsam mit interkontinentalen Teilnehmern, zeigt die Machbarkeit und den vereinfachenden Charakter des Ansatzes. Die Machbarkeit des Ansatzes wurde auch durch die erfolgreiche Nutzung für andere Anwendungsfälle gezeigt, wie z.B. im Grid-computing und in der Chirurgie

Hybrid visualizations for data exploration

Information Visualization (Infovis) graphically encodes information to help a user explore a data set visually and interactively. This graphical encoding can take the form of widespread visualizations such as bar charts and scatterplots. Multiple visualizations can share the same functional space to form complete tools for visual exploration or for communicating information. There is multiple ways of combining these visualizations. The assembly of multiple visualizations can give some complex assemblies sometimes called hybrid visualizations. A hybrid visualization is the result of assembling multiple simpler visualizations. For example, NodeTrix (Henry et al., 2007a) is composed of a node-link diagram and an adjacency matrix, and MatLink (Henry and Fekete, 2007a) adds arc links to an adjacency matrix. This integration of multiple visualizations can be a way to combine their advantages into a coherent structure. The integration can be achieved, for example, through color coding, or through explicit linking (such as with arrows), or through interaction (such as when different visualizations respond to the manipulation of others). Recent literature contains several examples of new hybrid visualizations, most often to deal with complex datasets where the user can benefit from multiple, complementary visual encodings of the same data. However, to date, there is almost no theory or framework to help researchers understand and characterize existing hybrids or design new ones. This thesis advances the state of the art in hybrid visualizations in two ways: first, by developing a framework that defines and characterizes hybrid visualizations to help better identify, describe and design them, and second, by demonstrating a variety of novel hybrids. The hybrid visualizations we explored cover a wide range of possibilities. Two of the most general and widely used data types in Infovis, multidimensional multivariate data and graph (i.e., network) data, are each the subject of a chapter in the thesis, with novel hybrid visualization techniques presented for each. A wide range of possibilities for integration is also presented using a pipeline model. After some preliminary material, chapter 2 of the thesis presents a conceptual framework that defines and characterizes hybrid visualizations. This framework was itself derived from experience designing the hybrid visualizations presented in the subsequent chapters. A hybrid visualization is described as a graphical encoding using other visualizations as building blocks. We present a pipeline to illustrate the assembly of a visualization, starting from the generation of basic shapes or glyphs, then placed on a layout, embellished by adding other graphical elements, then sent to some view transform operators and assembled on the same space. Simple charts can be described with this pipeline as well as more complex assembly and new hybrids are described. Chapter 3 presents ConnectedCharts, an example of a hybrid assembled on the assembly level of the pipeline, made of multiple multidimensional and multivariate charts explicitly connected by lines or curves showing the relationship between their elements. A user interface enables the interactive assembly of ConnectedCharts, including a wide range of previously-published hybrid visualizations, as well as novel hybrid arrangements. ConnectedCharts serve as an illustration of the conceptual framework in chapter 2, by exploring possible connections between different graphics depending on the relationship of their encoded data types. Chapter 4 presents another user interface, this time for graph exploration, that incorporates several highly integrated hybrid visualizations. A Parallel Scatter Plot Matrix (P-SPLOM) is presented that constitutes a fusion of a Scatter Plot Matrix (SPLOM) and a Parallel Coordinates Plot (PCP). A radial menu called the FlowVizMenu enables the modification of a visualization integrated at the center of the menu. This menu is also used to select the dimensions for configuring a third hybrid based on an Attribute-Driven Layout (ADL) that combines a nodelink diagram and a scatterplot. The characterization of hybrid visualizations offered by the conceptual framework, as well as the illustration of the framework by innovative hybrid visualizations, are the main contributions of this thesis to the Infovis community

Modellierung genregulatorischer Netzwerke mit stückweise linearen Differenzialgleichungen

Das Verständnis der Prozesse innerhalb einer Zelle auf molekularbiologischer Ebene kann helfen, Krankheiten zu verstehen und Gene beziehungsweise Proteine zu bestimmen, die eine wichtige Rolle bei diesen Krankheiten spielen. Ebenso kann die Wirkungsweise von Medikamenten bei detaillierter Kenntnis der molekularen Prozesse vorausgesagt werden. Die vorliegende Arbeit behandelt die Modellierung biochemischer Netzwerke und stellt Differenzialgleichungen zur Beschreibung der dynamischen Prozesse auf, denen chemische Reaktionskinetiken zugrunde liegen. Eine Vereinfachung der Funktionen führt zu dem Vorteil, dass das System von Differenzialgleichungen analytisch lösbar wird. Um bei genregulatorischen Netzwerken kleinere Subnetzwerke betrachten zu können, wird anhand eines graphentheoretischen sowie eines begriffsanalytischen Ansatzes, dem jeweils statistische Analysen folgen, eine Auswahl der Variablen des Differenzialgleichungssystems getroffen. Anschließend wird die Parameterschätzung für die Gleichungen mithilfe der Lösung eines Optimierungsproblems, das die Einbindung biologischen Wissens in lineare Nebenbedingungen erlaubt, durchgeführt. Ein weiterer Vorteil des Modells liegt darin, dass die aus Zeitreihen geschätzten Parameter direkte Rückschlüsse auf Abbauraten, Syntheseraten oder Regulierungsstärken zulassen. Durch entsprechende Erweiterungen ist das Modell auch auf allgemeinere biochemische Netzwerke anwendbar. Zunächst wird die Stickstoffaufnahme im Corynebacterium glutamicum unter sich ändernden Stickstoffkonzentrationen modelliert. Dieses Modell konnte zum einen zufriedenstellende Ergebnisse bezüglich existierender Experimente liefern, zum anderen erlaubte es Schlussfolgerungen über Abbaumechanismen eines der beteiligten Proteine. Eine weitere Anwendung auf reale Daten beschäftigt sich mit dem DNA Reparatursystem im Mycobacterium tuberculosis. Hier konnte aufgrund der Komponentenauswahl ein Gen identifiziert werden, das möglicherweise eine wichtige Rolle in den Regulierungen übernimmt. Den Abschluss der Arbeit bilden Überlegungen zur Visualisierung, die teilweise wieder auf begriffsanalytische Methoden zurückgreifen