Miracle-dz/UniFAR-FTUs huggingface dataset:
Zur Empfehlung von Abfindungsobergrenzen für Vorstandsmitglieder

Zusammenfassung In diesem Beitrag wird untersucht, ob Vorstandsabfindungen von börsennotierten Unternehmen durch die Empfehlung 4.2. 3 Abs. 4 Satz 1 des Deutschen Corporate Governance Kodex in der Fassung vom 7. Februar 2017 in ihrer Höhe begrenzt werden. Die dort vorgeschlagene Vereinbarung einer Begrenzung der Abfindungshöhe im Anstellungsvertrag entfaltet jedoch bei der vorzeitigen Vertragsbeendigung mittels eines Aufhebungsvertrags keine rechtliche Bindungswirkung. Die Analyse umfangreicher empirischer Daten zu Entsprechenserklärungen aller CDAX-Unternehmen in den Jahren 2010 bis 2014 zeigt, dass signifikant mehr als 20 Prozent der Unternehmen die Vereinbarung der empfohlenen Obergrenze ablehnen. Des Weiteren kann für die tatsächlichen Abfindungsrelationen vorzeitig ausgeschiedener Vorstandsmitglieder von DAX-Unternehmen in den Jahren 2010 bis 2014 gezeigt werden, dass die empfohlenen Obergrenzen trotz anderslautender Entsprechenserklärungen mehrheitlich überschritten wurden. Auf Basis der empirischen Ergebnisse wird eine Gestaltungsempfehlung für die Praxis abgeleitet, welche der Empfehlung zu einer stärkeren Wirkung verhelfen kann.
A UNIFORM PROCEDURE OF A SYSTEM RESOURCES INTERACTION IN DISTRIBUTED COMPUTER MEDIA

Nowadays railways present the processes of the existing information systems and their integration into a uniform automated control system of railway freight transportation. These processes must be based on the uniform architecture, system construction which takes into account current and future information technologies such as grid technologies and cloud calculation technologies. One of the main problems of introducing these technologies is the increased time while planning resources distribution when fulfilling tasks, that appear in distributed control system. It is important to develop uniform approaches to the solution of this problem. A uniform procedure of all the resources interaction that allows organizing planning tasks in distributed computer systems in the given article. The procedure of resources distribution on the base on the principle of task distribution and cluster sampling method has been also described.
Historical Linguistics, Linguistics, and Applied Linguistics: A study inspired by trees

This innovative perspective on historical linguistics, linguistics, and applied linguistics examines these areas of study with the role of trees in mind. It covers the quest for the founding father of historical linguistics - from the German Schleicher through the Scots, Stewart and Hutton, to the Americans, Whitney and Peirce, and the Swiss, Saussure. A brief but sweeping review of early linguistics and language study before the advent of cognitivism reveals American structuralism and immediate constituent analysis in descriptive linguistics relying on the tree structure even prior to the time transformative generative grammar was institutionalized.
Design of Zigbee based Wireless Sensor Network for Early Flood Monitoring and Warning System

This paper proposes architecture for an early flood monitoring and warning system to alert public against flood disasters. The frequent occurrence of flood causes great harm to people's lives and properties. The proposed warning system is developed with the objectives to gather nvironmental information, and based on the collected data, alert the authorities and the population at risk autonomously. This project focuses on monitoring water level remotely using wireless sensor network (WSN). It also utilizes Zigbee network, Global System for Mobile communication (GSM) and Short Message Service (SMS). The system measures water level through wireless sensor nodes. The information is sent to the base station using Zigbee protocol. Data received from each node is stored in the database of the monitoring centre. In critical condition, early-warning SMS is forwarded to alert the victims using GSM technology. Microsoft Visual Basic 6.0 is used to implement the software. Based on GUI provided, administrative departments can take effective measures. The proposed architecture can be beneficial to the community and act as a precautionary action to save lives in the case of flood disaster.
Las tecnologías de la información y de la comunicación y su uso por los niños y los adolescentes

Este trabajo analiza los modos en que se relacionan los ninos y los adolescentes con las diferentes tecnologias de la informacion y la comunicacion (TIC), tecnologias que les permiten acceder a contenidos multimedia, con nuevas posibilidades interactivas, y a comunicarse entre si. Los ninos y los jovenes han integrado perfectamente estas tecnologias en sus vidas y no se puede decir que su uso perjudique sus relaciones familiares y personales, dejando fuera de nuestro estudio los casos de adiccion en el consumo y/o las conductas patologicas. Los ninos y los jovenes perciben solo la version ludica de los aparatos que manejan con mas asiduidad. Aunque el factor de diversion es importante tambien en los telefonos moviles, en su uso prima el factor comunicativo, como lo demuestra el hecho de que los mensajes y las llamadas sean los aspectos mas valorados. Los mayores encuentran tambien un uso escolar al ordenador y al acceso a Internet, para obtener informacion, pero incluso estos usan los equipos informaticos para jugar o entretenerse (oir musica, por ejemplo), o para comunicarse tambien, a traves del e-mail y la mensajeria instantanea. Este componente ludico asociado a los equipamientos tecnologicos es el que permite que los ninos y jovenes vean estos aparatos como medios de comunicacion en diferentes sentidos y es el intercambio de experiencias derivadas de su consumo lo que dota a estas tecnologias de su verdadero valor.
The development of problem-solving rubrics to define learning progressions to support the inclusion of students with additional learning needs

In a changing society with evolving needs and occupations, problem-solving is increasingly seen as an essential skill for success in many contexts, including school and the workplace. However, students with additional learning needs often lack the necessary support to be successful in this skill domain. The aim of the study described in this paper was to design rubrics for problem-solving that define progressive levels of learning to support the instruction of this cohort of students. A working definition of problem-solving was used to draft observation statements in the form of rubrics that teachers could use to describe their students’ skill development. Workshops were conducted with specialist teachers (n=13) who critiqued and extended these draft rubrics, and mapped them to a learning progression. These materials were then trialed with experienced special education teachers, who reviewed them and generated intervention strategies for students at different skill levels on the derived progression. The outcome of the study was a set of assessment rubrics and level descriptions that teachers could use to support the learning of students with additional needs in a skill domain often dismissed as too demanding to be included in their personal programs. The process undertaken when a student approaches a task, activity or situation for which there is no obvious solution. This process involves utilisation of a method or strategy that can be learned or is already in the student’s repertoire (Mayer, 1992).
İdiyopatik erkek infertilitesinde probiyotiklerin yeri

Dünya Sağlık Örgütü (WHO), sperm anomalilerinin farklı alt tiplerini; astenozoospermi, oligozoospermi, teratozoospermi veya bunların kombinasyonları şeklinde tanımlamıştır. [3] Astenozoospermi, ejakülatta azalmış motilite veya sperm motilitesi olmaması ile tanımlanır. Bu 3 parametrenin anormallikleri sıklıkla bir arada bulunduğundan, duruma oligoastenoteratozoospermi veya OAT denir. Bu gruptaki erkeklerde %30’a varan oranda spesifik bir etiyoloji belirlenemez ve bu durum idiyopatik OAT olarak kabul ABSTRACT
Election Forecasting: Development of the Constant Sum Scale to be used in Telephone Surveys

The Constant Sum Scale has been successfully tested to forecast election results in face-to-face surveys. As political polls are carried out using telephone surveys, there was a need to test the scale for use in telephone surveys. In this study the Constant Sum Scale was tested for implementation in a telephone survey. The study was carried out during an election that used the single transferable voting system, and the Constant Sum Scale was utilised to forecast the election outcome. The validation against the election results showed that the Constant Sum Scale was successful in ranking the candidates in the order they prevailed in the final electoral result. Respondents’ understanding, based on the judgements given by interviewers, was at a satisfactory level. The overall results suggest that the Constant Sum Scale can be implemented effectively in telephone surveys and is recommended for telephone polling of voters.
Metadata Management With IBM Infosphere Information Server

What do you know about your data? And how do you know what you know about your data? Information governance initiatives address corporate concerns about the quality and reliability of information in planning and decision-making processes. Metadata management refers to the tools, processes, and environment that are provided so that organizations can reliably and easily share, locate, and retrieve information from these systems.Enterprise-wide information integration projects integrate data from these systems to one location to generate required reports and analysis. During this type of implementation process, metadata management must be provided along each step to ensure that the final reports and analysis are from the right data sources, are complete, and have quality.This IBM Redbooks publication introduces the information governance initiative and highlights the immediate needs for metadata management. It explains how IBM InfoSphereTM Information Server provides a single unified platform and a collection of product modules and components so that organizations can understand, cleanse, transform, and deliver trustworthy and context-rich information. It describes a typical implementation process. It explains how InfoSphere Information Server provides the functions that are required to implement such a solution and, more importantly, to achieve metadata management.This book is for business leaders and IT architects with an overview of metadata management in information integration solution space. It also provides key technical details that IT professionals can use in a solution planning, design, and implementation process.
Identifying Spatio-temporal Dynamics in Interacting Brain Networks.

Identifying Spatio-temporal Dynamics in Interacting Brain Networks by Daniel Maruyama Chair: Michal Zochowski Complex activity patterns in the brain arise from underlying interactions between neurons and astrocytes in the brain. Recent data acquisition has made it possible to measure the activity from many cells at one time. Extracting information from these data sources requires systems analysis techniques capable of describing network dynamics. Here I examine two broad approaches to understand interactions in brain networks. Astrocyte have recently been implicated in modulating neuron networks, but astrocyte signaling remains largely unknown. Astrocyte dynamics are examined by investigating the impact of distinct signaling pathways. We find that the interplay between the pathways is highly dependent upon the network topology, with cooperation being promoted by local networks and competition observed in random networks. Local networks are good approximations of biological astrocytes and are capable of reproducing the firing rate, shape, and spatial distribution of astrocyte network transients. This helps us to understand the way these networks develop and how they can be manipulated.
FastNet: An Efficient Architecture for Smart Devices

Inception and the Resnet family of Convolutional Neural Network architectures have broken records in the past few years, but recent state of the art models have also incurred very high computational cost in terms of training, inference and model size. Making the deployment of these models on Edge devices, impractical. In light of this, we present a new novel architecture that is designed for high computational efficiency on both GPUs and CPUs, and is highly suited for deployment on Mobile Applications, Smart Cameras, Iot devices and controllers as well as low cost drones. Our architecture boasts competitive accuracies on standard datasets even outperforming the original Resnet. We present below the motivation for this research, the architecture of the network, single test accuracies on CIFAR 10 and CIFAR 100, a detailed comparison with other well-known architectures and link to an implementation in Keras.
Data Mining Techniques in EDM for Predicting the Pupil"s Outcome

In recent era, growth of higher education has increased massively. Many new institutions and graduation schools are being established by both the private and government sectors for the growth of education and welfare of the students. Each institution aims at producing higher and exemplary graduation rates by employing various teaching and grooming methods. But still there are certain cases of unemployment that exists among the medium and low risk students. This paper aims to describe the use of data mining techniques to improve the efficiency of academic performance in the educational institutions. Various data mining techniques such as clustering, decision tree, association and rule induction, nearest neighbors, neural networks, genetic algorithms, exploratory factor analysis and stepwise regression can be applied to the higher education process, which in turn helps to improve pupils" performance. These approaches fit to provide a model to the problem domain that takes place in the educational systems.
School related factors affecting non communicable diseases risk factors among 13-15 years old adolescents from two schools in Delhi

Background: Children and adolescents are more vulnerable to developing NCD (non communicable diseases) risk factors due to changing lifestyles. Hence it is essential to recognize NCD risk factors among adolescents. School plays an important role in imparting knowledge and shaping the behaviours and practices among children. This study focusses on the school related factors that may be influencing the NCD risk factors among adolescents.Methods: The study was conducted among 438 students, 13 to 15 years old of two central government schools in Delhi. A self-administered modified STEPS questionnaire, an observation checklist for assessing facilities at schools and an interview schedule for school staff were used to collect data.Results: The statistically significant determinants of inadequate fruits and vegetable intake and excess fast food intake were consumption of fast food from vendors selling food outside the school (OR=4.36), inadequate physical activity at school (OR=2.56) and feeling stressed at school (OR=2.93). Physical activity at school was an important determinant for overall physical activity of students (OR=2.38). Current tobacco use and current alcohol use was determined by feeling stressed at school (OR=3.12). Health education classes at school had a protective effect on the NCD risk factors.Conclusions: Many school related factors such as absence of playground at school, stressed life at school and vendors selling fast food outside school were seen to influence lifestyle risk factors amongst adolescents. Hence an active involvement of school by increasing health education classes and providing adequate facilities for physical activities may help in reducing the NCD risk factors among students.
Elección de la carrera de Turismo: una mirada sociológica

A partir de la propuesta teórica de Weber sobre tipos ideales, y de Elster con sus aportes para la comprensión de la racionalidad limitada del sujeto en los procesos de elección, este trabajo presenta la narrativa de cómo un grupo de docentes eligieron una profesión de reciente creación en la Universidad de Guadalajara, México, en la década de los años setenta. A partir de una metodología cualitativa, se argumenta que los sedimentos de las vivencias de los entrevistados continúan en su labor como docentes, proyectándose en la formación de las nuevas generaciones de licenciados en turismo.
Effects of Using Human Patient Simulator (HPSTM) versus a CD-ROM on Cognition and Critical Thinking

Abstract Background: Very little prospective randomized experimental research exists on the use of simulation as a teaching method, and no studies have compared the two strategies of using the HPSTM and a CD-ROM. In addition, no researchers have investigated the effects of simulation on various levels of cognition, specifically lower-level and higher-level cognition or criticai thinking. Objectives: A prospective pretest-posttest experimental mixed design (within and between) was used to determine if there were statistically significant differences in HPSTM and CD-ROM educational strategies in lower-level, higher-level cognition and critical thinking. Results: A repeated measures multivariate analysis of variance (RMANOVA) with LSD post-hoc tests were used to analyze the data. There were no significant differences between the HPSTM and CD-ROM groups on lower-level cognition scores. The HPSTM group did significantly better than the CD-ROM group on higher-level cognition and critical thinking scores. Conclusion: This study demonstrated that the choice of teaching strategies for lower-level cognition does not make a statistically significant difference in outcome. However, the HPSTM is supe-rior to using CD-ROM and should be considered as the choice in teaching.
A Literature Review of Gaming in Education. Research Report.

The use of simulations and digital games in learning and assessment is expected to increase over the next several years. Although there is much theoretical support for the benefits of digital games in learning and education, there is mixed empirical support. This research report provides an overview of the theoretical and empirical evidence behind five key claims about the use of digital games in education. The claims are that digital games (1) are built on sound learning principles, (2) provide more engagement for the learner, (3) provide personalized learning opportunities, (4) teach 21 century skills, and (5) provide an environment for authentic and relevant assessment. The evidence for each claim is presented and directions for future research are discussed.
Sistema de Reconocimiento de Patrones de Rostros en la Nube

El presente trabajo comprende la implementación de algoritmos de alto desempeño para reconocimiento y detección de rostros, con interactividad en la Nube empleando la plataforma Microsoft Azure. Para su implementación, se analizan técnicas biométricas utilizadas hoy en día para el reconocimiento de patrones de rostros y se plantea de manera general considerar la existencia de ruido en las imágenes a analizar al compararlas con las bases de datos tomando en cuenta la alineación, normalización y escalado de cada una de las imágenes probadas. Para ello, se han llevado a cabo experimentos diferenciados de cada una de las fases del desarrollo del proyecto, de modo que se pudieron evaluar fortalezas y debilidades de la aplicación en la Nube. El análisis de desempeño centra en verificar exactitud, eficiencia y rapidez del servicio; con este propósito se realizó un estudio antropométrico como base experimental para realizar un análisis más exhaustivo del rostro, considerando la detección de atributos y el reconocimiento facial. El desarrollo del proyecto tiene dos líneas principales de trabajo: i) se implementó un servicio basado en las librerías de la API Face de Microsoft Azure para reconocimiento facial en lenguaje C#, cuyo rendimiento fue evaluado con una base de datos local y posteriormente en el Cloud de Microsoft, posteriormente se adaptó y se mejoró el diseño e implementación para su funcionamiento en tiempo real; y ii) el enfoque experimental, llevando a cabo pruebas diferenciadas del servicio en cada una de las etapas de desarrollo, donde se pudo realizar una evaluación de forma detallada. Los experimentos se enfocaron en el estudio de las etapas más relevantes para el análisis de la exactitud, rendimiento y rapidez en las funciones de: agrupación, detección, comprobación, identificación y comparación de rostros y reconocimientos de emociones. Este proyecto finaliza con la implementación del sistema de análisis de rostros con la integración de los servicios Microsoft Azure Face API
Sparse Optimal Control of Multiagent Systems

The modeling of self-organization in multiagent dynamical systems is of paramount importance for the understanding of many biological, economical, and financial phenomena. The evidence that, in practice, self-organization does not necessarily occur, leads to the question of how to design external parsimonious interventions aiming at promoting the formation of certain desired patterns. This thesis is devoted to the study of sparse control of multiagent systems, i.e, how to enforce the entire system to converge to specific configurations by controlling the fewest number of agents possible. We shall investigate the steering capabilities of (feedback and optimal) sparse control strategies, as well as dimensionality reduction techniques in connection with sparse control problems where the number or the dimensionality of the agents to control is so high that a direct numerical resolution is intractable. Moreover, since in control problems an accurate prior knowledge of the dynamics is essential, we also address the automatic learning of the fundamental functions governing the dynamics from sampled observations of the evolutions. In some parts of this work we consider general multiagent systems, while in others we focus on specific models in order to assess quantitatively the effectiveness of sparse controls with respect to different control strategies.
A Survey on Integrity Checking for Outsourced Data in Cloud using TPA

In today’s advent of cloud computing make storage out sourcing becomes rising trend which provides or motivate to focus on the cloud data integrity. Cloud provides various services to users and this makes the Cloud Computing more popular among in the users. Users upload their data to Third Party Auditor to reduce the management such as data, storage etc. The outsourced data may be more confidential or sensitive and that must need to be get secured. No one has known where exactly this outsourced data is resides and thus user’s data may be threatened by internal or some external attacks. This can be made easy with the help of public auditing by Third party Auditor, and Auditing is performed on metadata rather than original data such as auditing on the size of the outsourced file which is almost in the encrypted form. In this way Third Party Auditor ensures the data integrity in cloud computing.