Technology has become closely interwoven with our lives, positioning us as authors of large and diverse databases. These extensive collections of digital assets will be left behind as digital legacies after users eventually die. Addressing the inevitability of death in digital systems, including considerations for pre-configuring, or accessing these digital legacies, calls for thanatosensitivity in design. As a relatively new field, thanatosensitive HCI research on digital legacy has primarily focused on data storage and security as well as social networking systems. However, people might create online content that can be of relevance postmortem beyond the next of kin and private network, such as contributions to digital commons communities. In my research, I explore challenges and opportunities for thanatosensitive design in the context of digital commons communities by examining two design cases as samples of that area: GitHub and the Free Music Archive. Through a process inspired by programmatic design research, I followed a mixed method approach including literature reviews, interviews, workshop sessions, and iterative design synthesis. The outcome is a guidebook consisting of annotated portfolios with design exemplars for each design case, accessible to different stakeholders for further collaboration. Drawing on the annotations and intersections between both cases, I frame the knowledge contributions of this study as insights from the design process, aiming to provide directions for future research on thanatosensitivity in systems for digital commons contributions.

Modern research in the life sciences is unthinkable without computational methods for extracting, quantifying and visualising information derived from microscopy imaging data of biological samples. In the past decade, we observed a dramatic increase in available software packages for these purposes. As it is increasingly difficult to keep track of the number of available image analysis platforms, tool collections, components and emerging technologies, we provide a conservative overview of software that we use in daily routine and give insights into emerging new tools. We give guidance on which aspects to consider when choosing the platform that best suits the user's needs, including aspects such as image data type, skills of the team, infrastructure and community at the institute and availability of time and budget.

Im Rahmen der T!Raum-Initiative OSHOP lädt die TU Dresden gemeinsam mit der HTW Dresden und dem Fraunhofer-IWU zur ersten Open Source Hardware Konferenz vom 30. September bis 1. Oktober 2024 in Dresden ein. In Kooperation mit sächsischen Unternehmen soll im Projekt Open Source Hardware (OSH) als Innovations- und Transferkonzept erprobt werden, um die Innovationszyklen sächsischer KMU zu beschleunigen und damit deren Innovationskraft auf nationaler und globaler Ebene zu stärken. Während Open Source Software wie Google oder Android bewährt und bekannt ist, wissen die Wenigsten über Open Source Hardware – also offene Hardware z.B. für Maschinen und Anlagen – Bescheid. Dass Open Hardware allerdings ebenfalls großes Potential hat, zeigen Erfolgsgeschichten im 3D-Druck und im Bau von CNC-Fräsen. Insbesondere für KMU ist es lohnenswert, Open Hardware genauer unter die Lupe zu nehmen, da nicht nur Ressourcen eingespart und der Fachkräftemangel minimiert werden, sondern auch Innovationen schneller und effizienter umgesetzt werden können. Die Konferenz bietet die Möglichkeit, einen Einblick in fachliche Aspekte der OSH sowie Open Innovation zu erlangen, Transferprozesse als Wege zur Innovation zu besprechen und die Potentiale des OSH-basierten Transfers als Innovationskatalysator für sächsische Unternehmen zu entdecken. Durch die Einbeziehung diverser Akteure aus Wirtschaft, Gesellschaft und Wissenschaft in den Innovationsprozess und der gemeinsamen Entwicklung von qualitativ hochwertigen Lösungen für verschiedene Anwendungen können neue Produkte und Leistungen schneller und preiswerter entstehen.

Shifting priorities toward sustainability, longevity, and individuality necessitates adapted value-creation concepts. One promising approach to address these needs is adopting openness in product development. In line with the Open Design Paradigm, the aim is to make the technical documentation accessible to everyone and modifiable, indirectly turning the resulting product into Open Source Hardware (OSH). In this way, the knowledge of many can be pooled, and new innovations can be created. However, OSH frequently suffers from inadequate documentation. To enhance the quality, a reorganisation of product development processes could be beneficial. This may involve the adoption of novel methods and collaborative processes. One promising approach is the implementation of ideation contests, which allow participants to publicly share their ideas and receive early-stage feedback and community ratings. However, the question ensues: What is the subsequent course of action when current platforms seem incapable of integrating established knowledge about product development processes and existing collaborative methods appear to fail? As part of a research project, over 40 participants of an ideation contest were surveyed on Product Innovation, Product Development and Product Processing. The results will be presented in this article to provide a better understanding of the requirements and needs of developers for the structure of platforms for digital collaborative development.

The 'Open Fuel Cell' (OFC) is an open hardware initiative of the Chairs of Energy Technology and Manufacturing Technology at the University of Duisburg-Essen and the Hydrogen and Fuel Cell Center ZBT. We documented the manufacturing of a passive proton-exchange membrane fuel cell (PEMFC) using easily accessible materials and instruments, such as 3D-printers and com-puter numerical control (CNC) milling machines. Materials and construction pro-tocols can be downloaded at https://openfuelcell.org/. The OFC can be operated with a commercially available small hydrogen storage container. While the OFC can be used to operate low power electrical consumers (LED light strips, small fan) the main purpose is to offer a low-cost experimental environment to explore the electrochemical correlations of a PEMFC as well as the engineering involved in the construction and design of such a cell and thereby to spark the fascination for hydrogen technologies. However, we are confronted not just with inquiries from schools but also from universities of applied sciences. Their funding often does not allow to purchase standard fuel cell test rigs and they intend to use the OFC both in research and teaching. We present the OFC as an open science plat-form on which schools, universities, maker spaces and businesses can build upon. We hope to have launched an open hardware system that grows through commu-nity contributions, propelling a fast transition to a carbon-free energy system.

Diese Dissertation behandelt Fragen des Wettbewerbs auf Softwaremärkten. Konkret geht es um folgende Frage: Welchen Einfluss haben kleine und mittelständische Unternehmen (KMUs) auf die Wettbewerbskonditionen in der Softwarebranche vor dem Hintergrund des zunehmenden Einsatzes von rechtlichen Maßnahmen zum Schutze des geistigen Eigentums? Theoretischer Teil: Wir untersuchen theoretisch Übertragungseffekte (Spillovers) zwischen KMUs und größeren Softwareunternehmen im Kontext von gebündelten Produkten (bundling). Während Bundling und die resultierenden wettbewerbspolitischen Optionen in einem statischen Kontext gut verstanden sind, gibt es noch offene Fragen im dynamischen Kontext. Hier untersuchen wir, inwieweit die Standardargumente gegen Bundling an Gültigkeit verlieren. Wir kommen zum Schluss, dass Wettbewerbspolitik in Softwaremärkten in einem dynamischen Kontext Bundling durchaus in Betracht ziehen sollte. Empirischer Teil: Wir untersuchen, ob der zunehmende Einsatz von Schutzrechten durch KMUs dazu führt, dass der Wettbewerb im Bereich der Informations- und Kommunikationstechnologien (IuK) zunimmt. Diese empirisch fundierte Arbeit analysiert einen Datensatz von KMUs aus der IuK-Industrie unter besonderer Berücksichtigung von Softwareherstellern. Mit Hilfe einer Varianzanalyse untersuchen wir den Einfluss von vier Faktoren auf den Einsatz von Schutzrechten, nämlich: Globalisierung, rechtliches Umfeld, kooperative Forschung und Open Source Software-Nutzung. / This dissertation focuses on competition within the software market. Specifically it aims to provide further understanding and insights to the following question: In the context of intellectual property rights (IPR), what impact do small and medium sized enterprises (SME) have on competition in the software industry? Normative contribution to the dynamic policy literature: Bundling and the resulting competition policy measures are well understood under static conditions. In this essay, we theoretically examine the spillover exchange between SME and large software firms in the context of bundling. Based on the findings of our static model, we suggest that competition policy in the software market should consider bundling under dynamic competition because it could lead to a different conclusion resulting from the factors unique to the software market e.g., OSS programmers. Positive contribution to IPR literature: We empirically examine whether increased IPR adoption by small and medium sized enterprises enables greater competition within the information and communications sector. The analysis is based on a dataset of SME in the information and communications sector which also includes the software industry. We make use of the analysis of variance in order to study the impact of four factors on SME adoption of intellectual property rights, namely; globalization, legal frameworks, cooperative research and open source software use and development. i

This article discusses the development of intuitive tools for an enterprise analytical system based on Jupyter Lab. The focus is on creating interfaces that facilitate interaction with analytic data and make analysis accessible to users without deep technical knowledge. Using Solara library, which allows creating flexible and interactive solutions, which provides quick access to data, its visualization and editing. Implementation of such a system helps to accelerate decision-making processes, increase the accuracy of analysis and reduce the cost of staff training. The work demonstrates the practical application of open source technologies in real production conditions, which allows enterprises to adapt to dynamically changing market requirements and improve their competitiveness. / В работе рассматривается разработка интуитивно-понятного инструментария для аналитической системы предприятия на базе Jupyter Lab. Основное внимание уделено созданию интерфейсов, которые облегчают взаимодействие с аналитическими данными и делают анализ доступным для пользователей без глубоких технических знаний. Использование библиотеки Solara позволяет создать гибкие и интерактивные решения, что обеспечивает быстрый доступ к данным, их визуализацию и редактирование. Внедрение такой системы способствует ускорению процессов принятия решений, повышению точности анализа и снижению затрат на обучение персонала. Работа демонстрирует практическое применение open source технологий в реальных производственных условиях, что позволяет предприятиям адаптироваться к динамично меняющимся требованиям рынка и улучшать свою конкурентоспособность.

With the economic growth, the number of motor vehicles has increased rapidly for the last decades, especially in developing countries like China and India. Availability of more vehicles makes it more convenient for people to travel and merchandise transport. The increase of the number of vehicles also brings stresses to public traffic and pollution to the environment. When the number of vehicles on the road is over the available space, it results in traffic congestion. The problem is being studied and there are several solutions to it, like building more roads, rebuilding the existing streets and enlarging the cities. Based on the traffic reason and the environment reason, the government and the institute of environmental protection appeal to the public to take public transport means instead of private cars. But the measure affects the utilization ofmotor vehicles. Global Positioning System (GPS) provides autonomous geo-spatial positioningand navigation service. Once the user enters the destination, the navigation service will show the shortest path from the location of the user to the destination. Following the guide makes the vehicles running purposively, and it is also favorable for traffic control and management. Theoretically, if the diver keeps the same driving mode, the shortest path will cost the shortest time, but in reality, the traffic environment is complex and the driving speed is variable thus the shortest path is probably not the fastest path. In this study, the hinder factors of the speed and traffic are fixed constructions on the road, like: turnings, hospitals, schools, residential areas, traffic lights and the user-controlled factor (sites of traffic jams, accidents, and temporary construction on the road). We take the hinderfactors of traffic and driving speed into consideration while providing the route plan, finding the shortest-time path, and showing the result as an online map via the web Geographic Information System (GIS) application. We show that reducing the travelling time of motor vehicles, makes the traffic flow more rapid and efficient. Alsoreducing the emission time of motor vehicles, diminishes the greenhouse effect. Beside these, the achievement of our study also shows that the public can take advantage of open source tools and data to build their GIS application to do spatial and data analysis.

Companies are increasingly drawing on their user communities to generate promising ideas for new products, which are then marketed as "user-designed" products to the broader consumer market. We demonstrate that nonparticipating, observing consumers prefer to buy from user-rather than designer-driven firms because of an enhanced identification with the firm that has adopted this user-driven philosophy. Three experimental studies validate a newly proposed social identification account underlying this effect. Because consumers are also users, their social identities connect to the user-designers, and they feel empowerment by vicariously being involved in the design process. This formed connection leads to preference for the firm's products. Importantly, this social identification account also effectively predicts when the effect does not materialize. First, we find that if consumers feel dissimilar to participating users, the effects are attenuated. We demonstrate that this happens when the community differs from consumers along important demographics (i.e., gender) or when consumers are nonexperts in the focal domain (i.e., they feel that they do not belong to the social group of participating users). Second, the effects are attenuated if the user-driven firm is only selectively rather than fully open to participation from all users (observing consumers do not feel socially included). These findings advance the emerging theory on user involvement and offer practical implications for firms interested in pursuing a user-driven philosophy. Data, as supplemental material, are available at http://dx.doi.org/10.1287/mnsc.2014.1999. (authors' abstract)

In biology, many different kinds of microscopy are used to study cells. There are many different kinds of transmission microscopy, where light is passed through the cells, that can be used without staining or other treatments that can harm the cells. There is also fluorescence microscopy, where fluorescent proteins or dyes are placed in the cells or in parts of the cells, so that they emit light of a specific wavelength when they are illuminated with light of a different wavelength. Many fluorescence microscopes can take images on many different depths in a sample and thereby build a three-dimensional image of the sample. Fluorescence microscopy can also be used to study particles, for example viruses, inside cells. Modern microscopes often have digital cameras or other equipment to take images or record time-lapse video. When biologists perform experiments on cells, they often record image sequences or sequences of three-dimensional volumes to see how the cells behave when they are subjected to different drugs, culture substrates, or other external factors. Previously, the analysis of recorded data has often been done manually, but that is very time-consuming and the results often become subjective and hard to reproduce. Therefore there is a great need for technology for automated analysis of image sequences with cells and particles inside cells. Such technology is needed especially in biological research and drug development. But the technology could also be used clinically, for example to tailor a cancer treatment to an individual patient by evaluating different treatments on cells from a biopsy. This thesis presents algorithms to find cells and particles in images, and to calculate tracks that show how they have moved during an experiment. We have developed a complete system that can find and track cells in all commonly used imaging modalities. We selected and extended a number of existing segmentation algorithms, and thereby created a complete tool to find cell outlines. To link the segmented objects into tracks, we developed a new track linking algorithm. The algorithm adds tracks one by one using dynamic programming, and has many advantages over prior algorithms. Among other things, it is fast, it calculates tracks which are optimal for the entire image sequence, and it can handle situations where multiple cells have been segmented incorrectly as one object. To make it possible to use information about the velocities of the objects in the linking, we developed a method where the positions of the objects are preprocessed using a filter before the linking is performed. This is important for tracking of some particles inside cells and for tracking of cell nuclei in some embryos.       We have developed an open source software which contains all tools that are necessary to analyze image sequences with cells or particles. It has tools for segmentation and tracking of objects, optimization of settings, manual correction, and analysis of outlines and tracks. We developed the software together with biologists who used it in their research. The software has already been used for data analysis in a number of biology publications. Our system has also achieved outstanding performance in three international objective comparisons of systems for tracking of cells. / Inom biologi används många olika typer av mikroskopi för att studera celler. Det finns många typer av genomlysningsmikroskopi, där ljus passerar genom cellerna, som kan användas utan färgning eller andra åtgärder som riskerar att skada cellerna. Det finns också fluorescensmikroskopi där fluorescerande proteiner eller färger förs in i cellerna eller i delar av cellerna, så att de emitterar ljus av en viss våglängd då de belyses med ljus av en annan våglängd. Många fluorescensmikroskop kan ta bilder på flera olika djup i ett prov och på så sätt bygga upp en tre-dimensionell bild av provet. Fluorescensmikroskopi kan även användas för att studera partiklar, som exempelvis virus, inuti celler. Moderna mikroskop har ofta digitala kameror eller liknande utrustning för att ta bilder och spela in bildsekvenser. När biologer gör experiment på celler spelar de ofta in bildsekvenser eller sekvenser av tre-dimensionella volymer för att se hur cellerna beter sig när de utsätts för olika läkemedel, odlingssubstrat, eller andra yttre faktorer. Tidigare har analysen av inspelad data ofta gjorts manuellt, men detta är mycket tidskrävande och resultaten blir ofta subjektiva och svåra att reproducera. Därför finns det ett stort behov av teknik för automatiserad analys av bildsekvenser med celler och partiklar inuti celler. Sådan teknik behövs framförallt inom biologisk forskning och utveckling av läkemedel. Men tekniken skulle också kunna användas kliniskt, exempelvis för att skräddarsy en cancerbehandling till en enskild patient genom att utvärdera olika behandlingar på celler från en biopsi. I denna avhandling presenteras algoritmer för att hitta celler och partiklar i bilder, och för att beräkna trajektorier som visar hur de har förflyttat sig under ett experiment. Vi har utvecklat ett komplett system som kan hitta och följa celler i alla vanligt förekommande typer av mikroskopi. Vi valde ut och vidareutvecklade ett antal existerande segmenteringsalgoritmer, och skapade på så sätt ett heltäckande verktyg för att hitta cellkonturer. För att länka ihop de segmenterade objekten till trajektorier utvecklade vi en ny länkningsalgoritm. Algoritmen lägger till trajektorier en och en med hjälp av dynamisk programmering, och har många fördelar jämfört med tidigare algoritmer. Bland annat är den snabb, den beräknar trajektorier som är optimala över hela bildsekvensen, och den kan hantera fall då flera celler felaktigt segmenterats som ett objekt. För att kunna använda information om objektens hastighet vid länkningen utvecklade vi en metod där objektens positioner förbehandlas med hjälp av ett filter innan länkningen utförs. Detta är betydelsefullt för följning av vissa partiklar inuti celler och för följning av cellkärnor i vissa embryon. Vi har utvecklat en mjukvara med öppen källkod, som innehåller alla verktyg som krävs för att analysera bildsekvenser med celler eller partiklar. Den har verktyg för segmentering och följning av objekt, optimering av inställningar, manuell korrektion, och analys av konturer och trajektorier. Vi utvecklade mjukvaran i samarbete med biologer som använde den i sin forskning. Mjukvaran har redan använts för dataanalys i ett antal biologiska publikationer. Vårt system har även uppnått enastående resultat i tre internationella objektiva jämförelser av system för följning av celler. / <p>QC 20161125</p>