Zu sam men fas sung. LMS (Lernmanagement-Systeme) beinhalten bei flächendeckendem Einsatz kursspezifische Informationen, die bei der Erstellung und der Verwaltung von Vorlesungsaufzeichnungen umfangreiche Automatisierungspotenziale bieten. Durch Ansteuerung der Vorlesungsaufzeichnung aus dem LMS können Metadaten automatisch in die Aufzeichnung einfließen. Auch die Ansteuerung der zur Aufzeichnu...

BACKGROUND Liver metastasis (LM) is the determining factor of poor prognosis in colorectal cancer (CRC). Peripheral lymphatico-venous communications have been discussed as a potential pathway of tumor cell dissemination for the development of LMs. In the current study, we investigated the clinical impact of the lymphangiogenic activity in CRCs and their corresponding LMs. PATIENTS AND METHODS...

To help universities achieve their goals, it is important to align managerial functionalities side by side with educational aspects. Universities consume University Management Information Systems (UMIS) to handle managerial aspects as they do with Learning Management Systems (LMS) to achieve learning objectives. UMIS advances LMS by decades and has reached stable and mature consistency level. L...

This paper presents experimental analysis of LMS log data from two undergraduate courses that differ in terms of learning activity design. Data were resulting from the User Activity functions on open source learning management system, which report the number of student hits across the LMS tools. The research identifies obstacles encountered when using log data. Results suggest that the plan of ...

Educational design patterns describe reusable solutions to the design of learning tasks and environments. While there are many projects producing patterns, there are few approaches dealing with supporting the instructor/user in instantiating and running those patterns on learning management systems (LMS). This paper aims to make a leap forward in this direction by presenting two different metho...

Learning Management Systems (LMS) have become widespread among most centres for education and training. Being a mature technology, LMS have left the vanguard of innovation. Educational usages of the Web 2.0, Personal Learning Environments, Game-based Learning and particularly the introduction of mobile phones and tablets in education are happening outside the boundaries of the LMS. This paper p...

In the last ten years, there has been much research on active noise control (ANC) systems and transaural sound reproduction (TSR) systems. In those fields, multichannel FIR adaptive filters are extensively used. For the learning of FIR adaptive filters, recursive-least-squares (RLS) algorithms are known to produce a faster convergence speed than stochastic gradient descent techniques, such as t...

This work proposes the use of hierarchical LMs as an effective method both for e ciently dealing with contextdependent LMs in a dialogue system and for increasing the robustness of LM estimation and adaptation. Starting from basic LMs that express elementary semantic units, concepts, or data-types, sentence level LMs are recursively built. The resulting LMs may be a combination of grammars, wor...

In this paper we propose a rapidly converging LMS algorithm for crosstalk cancellation. The architecture is similar to deep neural networks, where multiple layers are adapted sequentially. The application motivating this approach is gigabit rate transmission over unshielded twisted pairs using a vectored system. The crosstalk cancellation algorithm uses an adaptive non-diagonal preprocessing ma...

The image compression in telecommunication is very demanding application to control the distortion in image in channel after transmitting the image. The Differential pulse code modulation (DPCM) may be used to remove the unused bit in the image for image compression. In this thesis we compare the compressed image for 1, 2, 3, bits (2, 4 and 8 quantization levels, respectively), estimation error...