Open Access

Investigating digital privacy behavior requires consideration of its contextual nuances and the underlying social norms. This study delves into users' joint articulation of such norms by probing their implicit assumptions and "common sense" surrounding privacy conventions. To achieve this, we introduce Privacy Taboo, a card game designed to serve as a playful breaching interview method, fostering discourse on unwritten privacy rules. Through nine interviews involving pairs of participants (n=18), we explore the decision-making and collective negotiation of privacy's vagueness. Our findings demonstrate individuals' ability to articulate their information needs when consenting to fictive data requests, even when contextual cues are limited. By shedding light on the social construction of privacy, this research contributes to a more comprehensive understanding of usable privacy, thereby facilitating the development of democratic privacy frameworks. Moreover, we posit Privacy Taboo as a versatile tool adaptable to diverse domains of application and research.

One of the most significant challenges facing the world today is rapid climate change and the negative effects it is having on our environment. The transport sector is responsible for high CO2 emissions, and will have to make fundamental contributions to climate goal targets in the medium to long-term future. In the past, far-reaching measures have been tested regarding how to encourage people to switch from their own cars or motorised private transport (MPT) to the more emission-friendly local public transport (PT). Previous projects have only been able to convince people to switch temporarily through subsidised public transport. Detached from the ecological aspects, the turmoil in the global economy at the end of February 2022 resulted in a price shock in mineral oil prices, which shifted the primary focus of mobility behaviour from ecological to economic concerns. The logistic regression analysis of a quantitative survey (n = 611) in Germany confirms that a large number of journeys taken via private car were saved due to the increased price. However, despite high mineral oil prices, travelling by private car remains the primary means of transport for many people. Switching to public transport is particularly noticeable among women. This is due, among other things, to their lower incomes. Contrary to results of prior studies, the present analysis shows that participants from large cities have saved fewer trips by private car compared to people living in rural areas, even though large cities generally have a denser infrastructure with a more comprehensive range of mobility options. Travel time and reliability are the main factors in our respondents' choice of transport mode and are more compatible in large cities with denser public transport than in rural areas. The avoided car journeys are predominantly in the leisure sector and have not been substituted by other means of transport.

This specification defines a method for computing a hash value over a CBOR Object Signing and Encryption (COSE) Key. It specifies which fields within the COSE Key structure are included in the cryptographic hash computation, the process for creating a canonical representation of these fields, and how to hash the resulting byte sequence. The resulting hash value, referred to as a "thumbprint", can be used to identify or select the corresponding key.

Because of their resilience, Time-of-Flight (ToF) cameras are now essential components in scientific and industrial settings. This paper outlines the essential factors for modeling 3D ToF cameras, with specific emphasis on analyzing the phenomenon known as “wiggling”. Through our investigation, we demonstrate that wiggling not only causes systematic errors in distance measurements, but also introduces periodic fluctuations in statistical measurement uncertainty, which compounds the dependence on the signal-to-noise ratio (SNR). Armed with this knowledge, we developed a new 3D camera model, which we then made computationally tractable. To illustrate and evaluate the model, we compared measurement data with simulated data of the same scene. This allowed us to individually demonstrate various effects on the signal-to-noise ratio, reflectivity, and distance.

Bei der Entwicklung von Kunststoffbauteilen kommen in kontinuierlich zunehmendem Maße Simulationen zum Einsatz. Vor dem Hintergrund von steigenden Produktanforderungen als auch dem unausweichlichen Zwang zur Schonung von Ressourcen ist der erweiterte Einsatz von Simulationswerkzeugen wichtiger Teil des Lösungsweges. Zu den nutzbaren, aber in Bezug zu Realprozessen bisher wenig eingesetzten Methoden gehört die Molekulardynamik Simulation. Auf Grundlage dieser Methode können auf mikroskopischer Ebene die tatsächlichen physikalischen Abläufe, die bei der Verarbeitung von Kunststoffen im Prozess auftreten, sichtbar gemacht werden. In dieser Arbeit wird beleuchtet, wie Randbedingungen in Anlehnung an den Extrusionsblasformprozess den Werkstoff Polyethylen auf mikroskopischer Ebene beeinflussen. Hierzu wird ein mesoskopisches Modell (Coarse-Graining) zur Beschreibung des Polymers genutzt. Dieses Modell wird durch die Bestimmung von Materialkennwerten verifiziert. Es wird der uniaxiale Zugversuch auf der Mikroskala modelliert, um Größen wie beispielsweise Elastizitätsmodul, Streckspannung oder Querkontraktionszahl zu ermitteln. Ebenso werden thermische Kenngrößen, insbesondere zur Charakterisierung des Kristallisationsverhaltens, bestimmt. Ziel dieser Untersuchungen ist, Effekte, die bei dynamisch ablaufenden Dehnungs- bzw. Kristallisationsvorgängen stattfinden, mikroskopisch zu beobachten und zu quantifizieren. Die ermittelten Kennwerte liegen insbesondere für die thermischen Größen in dichter Nähe zu experimentellen Daten. Das Spannungs-Dehnungs Verhalten wird qualitativ mit guter Übereinstimmung mit dem realen Verhalten wiedergegeben. Die kurze Zeitskala, auf der sich die Simulationsmodelle befinden, hat jedoch mikromechanisch extremeres Verhalten zur Folge, als makroskopisch beobachtet wird. Durch Erweiterung der Modelle werden biaxiale Verstreckvorgänge, wie sie im Extrusionsblasformprozess beispielsweise während des Aufblasens des Vorformlings auftreten, nachgebildet. Die Betrachtung verschiedener Abkühlbedingungen, insbesondere unter Formzwang, ist in Anlehnung an den Realprozess weiterer Schwerpunkt der Untersuchungen. Die Analyse der biaxial verstreckten Modelle offenbart, dass Entschlaufungsvorgänge während des Verstreckens die weitere Entwicklung der Polymersysteme dominieren. Es gelingt, die Dynamik von Kristallisationsvorgängen in Abhängigkeit von Verstreckgrad und Abkühlbedingungen durch unterschiedliche Größen (Verteilung von Verschlaufungspunkten, lokale Orientierungen) zu quantifizieren. Die erzielten Resultate zeigen auf, dass es mittels vergröberten Molekulardynamik Simulationen möglich ist, das mikromechanische Verständnis von Vorgängen, die bei der Verarbeitung von Kunststoffen auftreten, signifikant zu erweitern. During the development phase of plastic components, simulations are being used to an increasing extent. Against the background of product requirements and the inevitable necessity of conserving resources, the expanded use of simulation tools is an essential part of the solution. Among available methods, but so far underutilized with respect to real-life processes, is the molecular dynamics simulation. By the use of this method it is possible to visualize the physical processes occurring on the microscopic level, as e.g. those that arise during plastics processing. This thesis examines how boundary conditions, which mimic the extrusion blow molding process, affect the behavior of polyethylene on the microscopic level. A mesoscopic model (coarse-graining) is applied to describe the polymer. Initially, this model is verified by determining material properties. The uniaxial tensile test is modeled on the micro-scale to identify parameters such as the elastic modulus, yield stress, and Poisson’s ratio. Additionally, thermal properties, particularly those characterizing the crystallization behavior, are identified. The objective of these investigations is the microscopic observation and quantification of effects that occur during dynamic stretching and crystallization processes. The calculated properties show good agreement with the experimental data, especially regarding the thermal parameters. Qualitatively, the stress-strain behavior is reproduced in alignment with experimentally observed results. However, the short time scale of the simulation models leads to micromechanical behavior that is more extreme than what is monitored on a macroscopic level. By extending the simulation models, biaxial stretching processes are simulated. These stretching processes resemble the situation during the inflation of the parison in the extrusion blow molding process. The examination of various cooling conditions, particularly by the use of mold constraints, is another focus of the investigations. The analysis of the biaxially stretched simulations reveals that disentanglement processes during stretching dominate the further development of polymer systems. It is possible to quantify the dynamics of crystallization processes depending on the degree of stretching and cooling conditions through various parameters (distribution of entanglement points, local orientations). The results indicate that coarse-grained molecular dynamics simulations are able to significantly enhance the micromechanical understanding of local events occurring during plastic processing.

This CSV provides the corresponding RGB values for a specific color temperature (measured in Kelvin). It can be used to determine the appropriate RGB color values for a given color temperature. This dataset provides an approximation following the CIE 1964 colour-matching functions that is intended for low to mid quality output media (such as LED lighting, consumer screens and consumer grade VR headsets).

The datacontains a sample of 300 respondents obtained at a German university of applied sciences (Bonn-Rhine-Sieg) from October 2023 to December 2023, and consisting of students, scientific and non-scientific staff and alumni. It was part of the evaluation of the project "SUPRA- Start Up Manufaktur St. Augustin".

This dataset contains questions and answers from an introductory computer science bachelor course on statistics and probability theory at Hochschule Bonn-Rhein-Sieg. The dataset includes three questions and a total of 90 answers, each evaluated using binary rubrics (yes/no) associated with specific scores.

This is the YOLO format version of the robocup2023 competition dataset. The dataset is annotated using the Anylabeling tool

The present study investigates the phenomenon of domestic violence perpetrated against women in Bangladesh, and endeavors to identify potential determinants that may underlie its prevalence. By employing a multivariate logistic regression model and utilizing a national representative dataset comprising 5044 households in rural Bangladesh, the present study reveals noteworthy correlations between domestic violence and various factors, including but not limited to women's age, poultry farming, total land ownership, working in rural areas, and women's decision-making authority in agriculture. The age of female individuals is a crucial factor in the occurrence of domestic violence, as there exists a positive correlation between age and the likelihood of experiencing such violence, with older women being more susceptible to it. Nevertheless, the probability of violent behavior decreases after a specific period. The rearing of poultry in farms seems to have a noticeable effect on the incidence of violence, whereas the possession of extensive land holdings reduces the probability of violent occurrences. Men who work in rural areas are more likely to engage in violent behavior, possibly due to economic instability and adherence to traditional gender norms. Research indicates that female individuals who possess decision-making power in the realm of agricultural production tend to experience reduced levels of violence. In general, the aforementioned discoveries illuminate the intricate mechanisms that underlie domestic violence in rural areas of Bangladesh.

The relevance of introducing digital twin technology in robotics is substantiated, which allows testing and modelling the capabilities of robots, such as manipulation, grasping, etc., using virtual robot prototypes that are identical copies of physical robot prototypes. An overview of the key components of the digital twin framework for robotics, including the physical element, virtual element, middleware, service and transport components, is provided. A technology for designing a robot using digital twins is proposed, including the design of a computer model of a robot using a computer-aided design system or three-dimensional graphics packages, the use of robot simulation systems, data management, data analysis and human-machine interaction. The further development of the research is the implementation of digital twin technology for a rescue robot according to the proposed stages: building a computer model, programming robot behaviour in a simulation system, developing a mathematical and digital model of the robot, implementing human-machine interaction between a physical robot and its digital replica, which will allow testing the interaction of the main components of the digital twin, performing data exchange between the physical and digital replica, and building a digital data model to verify the main operations.

An der Hochschule Bonn-Rhein Sieg gibt es auf dem Campus St. Augustin seit kurzem Spenderautomaten für kostenlose Menstruationsartikel. Barbara Hillen, Zentrale Gleichstellungsbeauftragte der Hochschule, hat sie anbringen lassen als Teil eines Pilotprojekts, das struktureller Bildungsbenachteiligung entgegenwirken soll.

Based on an analysis of the aerosol optical properties for Cotonou, Benin from the DACCIWA measurement campaign, we investigate the impact of aerosols on PV power for polycrystalline silicon and amorphous silicon technology using a spectrally resolved model chain. The model considers both spectral effects on global irradiance due to different aerosol properties as well as the spectral response of different PV technologies. The results show that aerosol emissions due to the biomass outbreak lead to solar flux losses of up to 55%, which correspond to a reduction in photovoltaic power of up to 81% for the polycrystalline cell and 78% for the amorphous cell. Comparing the effects of aerosols on the photovoltaic power between the two technologies, we find that during the morning and evening hours, when there is more diffuse irradiance, the amorphous cell suffers a greater reduction in power (36%) than the polycrystalline cell (27%). Conversely, in the middle of the day, we observe a greater PV power reduction of 12% for the polycrystalline cell compared to that for the amorphous cell (8%).

Extensive data from both in vitro and animal studies have demonstrated the potency of a deregulated activated Wnt pathway. Herein, we report the antitumor effects of already established novel Wnt pathway inhibitors – ethacrynic acid (EA) and Ciclopiroxolamine (CIC) on various cancer cell lines using the WST-8 assay. Our results demonstrate the significant cytotoxic potency of EA and CIC in vitro and display their strong efficacy on various tumor cells. Of particular interest, colon cancer was the most significantly affected by both drugs of all the tumor types tested in this study. This study provides a strategy for targeting Wnt-driven cancers and highlights those cancers that show a higher susceptibility to the cytotoxic effects of the Wnt inhibitors as potential candidates for further study.

Background. This study was performed to investigate the influence of a short-term treatment with pioglitazone versus placebo on inflammatory activation of mononuclear cells (mRNA expression/protein secretion of inflammatory markers). Methods and Results. Sixty-three patients with well-controlled type 2 diabetes (52 males, 11 females, age (Mean ± SD): 66 ± 7 yrs, disease duration: 6.6 ± 9.6 yrs, HbA1c: 6.7 ± 0.6%) were randomized to additional 45 mg of pioglitazone or placebo to their existing metformin and sulfonylurea therpay for four weeks in a double-blind study design. Protein risk marker levels (hsCRP, MMP-9, MCP-1, etc.) and the expression of NFκB subunits and NFκB-modulated cytokines from isolated peripheral monocyte/macrophages were determined at baseline and endpoint. There were no changes in HbA1c, but significant biomarker improvements were seen with pioglitazone only. The mRNA marker expression was downregulated by pioglitazone and further up-regulated with placebo (e.g., P105 pioglitazone: -19%/placebo: +6%, RelA: -20%/+2%, MMP-9: -36%/+9%, TNFα: -10%/+14%, P < 0.05 between groups in all cases). Conclusions. Pioglitazone very rapidly down-regulated the activated state of peripheral monocytes/macrophages as assessed by mRNA expression of NFκB and NFκB-modulated cytokines and decreased plasma levels of cardiovascular risk marker proteins independent of glycemic control.

The shift towards renewable energy sources has heightened the interest in solar photovoltaic (SPV) systems, particularly in grid-connected configurations, to enhance energy security and reduce carbon emissions. Grid-tied SPVs face power quality challenges when specific grid codes are compromised. This study investigates and upgrades an integrated 90 kWp solar plant within a distribution network, leveraging data from Ghana's Energy Self-Sufficiency for Health Facilities (EnerSHelF) project. The research explores four scenarios for SPV placement optimization using dynamic programming and the Conditional New Adaptive Foraging Tree Squirrel Search Algorithm (CNAFTSSA). A Python-based simulation identifies three scenarios, high load nodes, voltage drop nodes, and system loss nodes, as the points for placing PV for better performance. The analysis revealed 85 %, 82.88 %, and 100 % optimal SPV penetration levels for placing the SPV at high load, voltage drop, and loss nodes. System active power losses were reduced by 72.97 %, 71.52 %, and 70.15 %, and reactive power losses by 73.12 %, 71.86 %, and 68.11 %, respectively, by placing the SPV at the above three categories of nodes. The fourth scenario applies to CNAFTSSA, achieving 100 % SPV penetration and reducing active and reactive power losses by 72.33 % and 72.55 %, respectively. This approach optimizes the voltage regulation (VR) from 24.92 % to 4.16 %, outperforming the VR of PV placement at high load nodes, voltage drop nodes, and loss nodes, where the voltage regulations are 5.25 %, 9.36 %, and 9.64 %, respectively. The novel CNAFTSSA for optimal SPV placement demonstrates its effectiveness in achieving higher penetration levels and improving system losses and VR. The findings highlight the effectiveness of strategic SPV placement and offer a comprehensive methodology that can be adapted for similar power distribution systems.