On November the 10th departments and institutes of the Leibniz University Hannover offered visitors a comprehensive look into their current research efforts.

Together the research institute L3S (Leibniz University Hannover), ISU (the Institute for Sustainable Urbanism – TU Brunswig)  and 1KLANG®, (mobility brand – PROJEKTIONISTEN® GmbH), showcased their joint research project Data4UrbanMobility.

Interested visitors were able try out all of the apps and dashboards that are being developed as a part of the research project.

(for fruther details: https://data4urbanmobility.l3s.uni-hannover.de/index.php/en/results/).

One of the highlights was the new iOS version of the “MiC” app that now supports Apple Watch.

We’re grateful for all of the insightful discussions we were able to have with the attendees at the event and are looking forward to sharing our beta of the Citizen Science App „MiC – Move in the City“ with so many new volunteers.

• Solution-processed bismuth oxide iodide/organic-semiconductor heterojunction for UV–vis-NIR photoresponsive electronics. Dacha, Preetam; Lapalikar, Vaidehi; Rohitlal, Anju Kumari; Hambsch, Mike; Ruck, Michael; Mannsfeld, Stefan C. B. (2025). 2400726.

  Abstract The emerging light absorber material bismuth oxide iodide BiOI, possesses convenient solution processibility and excellent chemical stability under ambient conditions along with a high light absorption coefficient reaching 5·104 cm?1. Classified as ?defect-tolerant,? BiOI is considered a green and low-cost alternative to lead-halide perovskites in optoelectronic devices. Its investigation in photoresponsive electronic devices, however, is limited due to its anisotropic carrier mobility and unique morphology in thin films. To utilize the advantageous properties of BiOI, in this work, it is integrated into a phototransistor as a bilayer heterojunction with the organic semiconductor DPPDTT. The smooth interfaces and higher carrier mobility of DPPDTT compared to BiOI and its hydrophobic nature enable their synergistic hybridization in a heterojunction that is optically active from the UV to the NIR region. The unencapsulated heterojunction phototransistors are stable for at least three months under atmospheric conditions. They show a high Ilight/Idark current ratio of over 104 at only 0.7 mW·cm?2 irradiation intensity at all investigated wavelengths, and a specific detectivity up to 5·1012 Jones. Initial synaptic measurements additionally reveal a neuromorphic behavior in the devices. This work charts a course towards the realization of cost-effective high-performance photoresponsive electronics for diverse applications.
• A Novel Stable Path Selection Algorithm for Enhancing Qos and Network Lifetime in RPL-Contiki-based IoT Networks. BOUKHOBZA, Mohamed Achref; ROUISSAT, Mehdi; BELKHEIR, Mohammed; MOKADDEM, Allel; LORENZ, Pascal (2025). 17(1) 81–99.

  The Internet of Things (IoT) facilitates real-time connectivity of objects, allowing for access from anywhere at any time. For IoT Low-Power and Lossy Networks (LLNs), the Routing Protocol for Low-Power and Lossy Networks (RPL) has been introduced. In RPL-based topologies, the rank of nodes reflects their positions within the network, calculated by adding the rank of a node's preferred parent to the link metric between them. However, due to inaccuracies in assigning link metric values to neighboring nodes, frequent changes in preferred parent selection occur, resulting in significant control overhead, increased energy consumption, higher latency, and degraded Packet Delivery Ratio (PDR). This paper presents an optimized path selection method that ensures the most stable and optimal choice of preferred parents for nodes. Using the Cooja simulator under various network densities, the proposed approach demonstrates a 73% reduction in preferred parent changes, a 49% decrease in control overhead, and a 50% reduction in total energy consumption. Additionally, it improves PDR by 46% and reduces latency by 2.81 seconds.
• The Private Sphere, Privacy, and Digitization. Ochs, Carsten H. Friese, M. Nolden (eds.) (2025).
• Higher-rank spin liquids and spin nematics from competing orders in pyrochlore magnets. Francini, Niccolò; Janssen, Lukas; Lozano-Gómez, Daniel (2025). 111(8) 085140.
• NanoSoftController: A Minimal Soft Processor for System State Control in FPGA Systems. Weißbrich, Moritz; Seidlitz, Germain; Payá-Vayá, Guillermo L. Carro, F. Regazzoni, C. Pilato (eds.) (2025). 246–261.

  In many FPGA-based systems, only sequential system control structures modeled by finite state machines are actually required. In order to deal with complexity, design time, and verification issues, which are weaknesses of traditional hardware description languages, it may be preferred to describe the control flow behaviorally in software. However, it is reported that high-level synthesis for FPGA often generates inferior results in terms of resources and performance when translating software-style control flow description to hardware. In this paper, the NanoSoftController is proposed as an open-source soft processor, which is optimized for minimal and efficient logic resource usage on FPGA platforms. It is targeted at processing sequential finite state machine functionality in software, featuring a compact ISA for control flow in embedded systems and a tiny accumulator-based data path. Furthermore, an efficient mapping of memory to small distributed LUT RAM instances enables its use as a system state machine controller in even very resource-constrained FPGA designs, requiring only 104 slice LUTs and 76 slice registers in total. However, despite all optimizations, in a case study with high-level synthesis results of three reference software-style control applications, i.e., electronic door lock, smart glucose sensor, and sequential sensor network node, a better resource efficiency could not be shown. We evaluate the negative results and provide lessons we learned from them.
• A Novel Chaining-Based Indirect Addressing Mode in a Vertical Vector Processor. Gesper, Sven; Köhler, Daniel; Thieu, Gia Bao; Homann, Jasper; Meinl, Frank; Blume, Holger; Payá-Vayá, Guillermo L. Carro, F. Regazzoni, C. Pilato (eds.) (2025). 167–182.

  Efficient processing architectures for irregular data patterns require vector element addressing with flexible indices. Therefore, state-of-the-art SIMD vector extensions implement gather and scatter instructions for indexed addressing of data in memory. In vertical vector processors, different data is processed sequentially in parallel lanes and can be exchanged via chaining. This paper proposes an extension of such chaining mechanisms in a vertical vector processor architecture (V2PRO) to flexibly chain not only data but also address offsets between vector lanes. The indirect addressing enables vector access patterns with irregular strides for both register file and memory. The extension has a low hardware overhead of +4.8 % lookup tables and +1.8% registers on a Xilinx Ultrascale+ FPGA. A runtime evaluation for two applications from computer vision, namely Deformable Convolutions and point cloud encoding with PointPillars, demonstrates speedups of at least an order of magnitude with the proposed extension.
• Enhancing Congestion Control using a Load-Balanced Routing Algorithm for Distributed Networks Kumar, Jogendra in Texte und Untersuchungen zur Geschichte der altchristlichen Literatur, (N. Meghanathan, ed.) (2025). (Vol. 17) Lepizig.

  Ad hoc networks frequently encounter congestion due to packet loss, link failures, and limited bandwidth. These issues lead to significant energy and time expenditures for congestion recovery, ultimately degrading network performance. Various techniques exist to mitigate the effects of congestion, and this paper introduces a novel routing protocol named Load-Balanced Congestion-Adaptive Routing (LBCAR) protocol, which incorporates a random route point model in Mobile Ad Hoc Networks. The paper promotes an adaptive load-balanced routing approach combined with congestion control. A hybrid protocol is proposed to address congestion control and achieve optimal performance. The algorithm integrates metrics such as traffic density, routing path lifetime, and link failure detection to enhance network performance. The results of the proposed approach are compared with those of other routing protocols to assess its effectiveness.
• Performance of Aloha-Q with Adaptive Transmission Probability Sakakibara, Katsumi (N. Meghanathan, ed.) (2025). (Vol. 17) IJCNC, Lepizig.

  We propose incorporation of adaptive transmission probability to ALOHA-Q, which is a framed slotted ALOHA-based random access protocol ingeniously integrating Q-learning for slot selection in a frame. The transmission probability is also adaptively controlled based on Q-learning. Performance of the proposed protocol is confirmed by means of computer simulation. Numerical results show that the proposed protocol can mitigate performance degradation of ALOHA-Q under overloaded traffic condition and exhibits comparable performance to ALOHA-Q for moderate traffic condition.
• Inference and applications of ancestral recombination graphs. Nielsen, Rasmus; Vaughn, Andrew H.; Deng, Yun (2025). 26(1) 47–58.

  Ancestral recombination graphs (ARGs) summarize the complex genealogical relationships between individuals represented in a sample of DNA sequences. Their use is currently revolutionizing the field of population genetics and is leading to the development of powerful new methods to elucidate individual and population genetic processes, including population size history, migration, admixture, recombination, mutation and selection. In this Review, we introduce the readers to the structure of ARGs and discuss how they relate to processes such as recombination and genetic drift. We explore differences and similarities between methods of estimating ARGs and provide concrete illustrative examples of how ARGs can be used to elucidate population-level processes.
• Introduction. Burkhardt, Marcus; Kropf, Jonathan; Ochs, Carsten; Seitz, Tatjana M. Burkhardt, J. Kropf, C. Ochs, T. Seitz (eds.) (2025). 5–15.
• Do You Feel Better? The Impact of Embodying Photorealistic Avatars with Ideal Body Weight on Attractiveness and Self-Esteem in Virtual Reality. Holderrieth, Lena; Wolf, Erik; Fiedler, Marie Luisa; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2025).

  Body weight issues can manifest in low self-esteem through a negative body image or the feeling of unattractiveness. To explore potential interventions, the pilot study examined whether embodying a photorealistically personalized avatar with enhanced attractiveness affects self-esteem. Participants in the manipulation group adjusted their avatar's body weight to their self-defined ideal, while a control group used unmodified avatars. To confirm the manipulation, we measured the perceived avatars' attractiveness. Results showed that participants found avatars at their ideal weight significantly more attractive, confirming an effective manipulation. Further, the ideal weight group showed a clear trend towards higher self-esteem post-exposure.
• Evaluating VR and AR Mirror Exposure for Anorexia Nervosa Therapy in Adolescents: A Method Proposal for Understanding Stakeholder Perspectives. Fiedler, Marie Luisa; Bürger, Arne; Mittermeier, Sabrina; Botsch, Mario; Latoschik, Marc Erich; Wienrich, Carolin (2025).

  Body image distortions in anorexia nervosa pose significant therapeutic challenges, requiring innovative interventions. Virtual Reality (VR) and Augmented Reality (AR) technologies offer promising solutions, yet stakeholder preferences, from therapists and patients, remain unexplored. This methodological proposal outlines focus groups to compare VR and AR mirror exposures using personalized and body-weight-modifiable avatars in anorexia nervosa therapy. Therapists will evaluate therapeutic potential, risks, and practicality, while adolescent patients will assess comfort, stress responses, and usability. The findings aim to advance the user-centered integration of VR and AR into anorexia nervosa therapy, addressing critical treatment gaps.
• Nach dem Ende der Regierungskoalition: Offene Gesetzesvorhaben im Digital- und Datenrecht und Ausblick auf die nächste Legislaturperiode. Horstmann, Jan (2025). (1) 01104.
• The Idiot’s Guide to Effective Population Size. Waples, Robin S. (2025). n/a(n/a) e17670.

  ABSTRACT This is a reference manual for the elegant, yet hideously complex concept of effective population size (Ne), inspired by a classic, self-published manual of automotive repair ‘for the compleat idiot’. The Guide is timely, given the recent Kunming-Montreal Global Biodiversity Framework, where 196 Parties committed to tracking genetic diversity—and estimating Ne—for all species. Ne is a human construct, but a useful one that allows us to capture diverse aspects of an organism's biology in a single number. The Guide collates in one location factual information about effective population size, with a focus on topics of practical relevance to scientists and managers studying real populations; it covers definition, computation and estimation of effective size, both demographically and genetically. As appropriate, the reader is directed to other primary sources for more details. A ‘Don't Do These Things’ section lists several ill-advised approaches to dealing with Ne, and an Appendix provides useful tools and practical suggestions for interested users. A special section considers both possibilities and challenges presented by the genomics revolution. Availability of vast numbers of genetic markers increases precision, but less than some might think, and simultaneously introduces new challenges involving filtering and bioinformatics processing. As annotated genomes become more common for non-model species, opportunities are opened to address qualitatively different questions, including reconstructing historical changes in Ne through time.
• Spatial close-kin mark-recapture models applied to terrestrial species with continuous natal dispersal. Sévêque, Anthony; Lonsinger, Robert C.; Waits, Lisette P.; Morin, Dana J. (2025). n/a(n/a)

  Abstract Close-kin mark–recapture (CKMR) methods use information on genetic relatedness among individuals to estimate demographic parameters. An individual's genotype can be considered a ‘recapture’ of each of its parent's genotype, and the frequency of kin-pair matches detected in a population sample can directly inform estimates of abundance. CKMR inference procedures require analysts to define kinship probabilities in functional forms, which inevitably involve simplifying assumptions. Among others, population structure can have a strong influence on how kinship probabilities are formulated. Many terrestrial species are philopatric or face barriers to dispersal, and not accounting for dispersal limitation in kinship probabilities, can create substantial bias if sampling is also spatially structured (e.g. via harvest). We present a spatially explicit formulation of CKMR that corrects for incomplete mixing by incorporating natal dispersal distances and spatial distribution of individuals into the kinship probabilities. We used individual-based simulations to evaluate the accuracy of abundance estimates obtained with one spatially naïve and two spatially explicit CKMR models across six scenarios with distinct spatial patterns of relative abundance and sampling probability. Estimates of abundance obtained with a CKMR model naïve to spatial structure were negatively biased when sampling was spatially biased. Incorporating patterns of natal dispersal in the kinship probabilities helped address this bias, but estimates were not always accurate depending on the model used and the scenario considered. Incorporating natal dispersal into spatially structured CKMR models can address the bias created by population structure and heterogeneous sampling but will often require additional assumptions and auxiliary data (e.g. relative abundance indices). The models shown here were designed for terrestrial species with continuous patterns of natal dispersal and high year-to-year site fidelity but could be extended to other species.
• The Political Consequences of Work: An Integrative Review. Selenko, Eva; Schilbach, Miriam; Brieger, Steven A.; Van Hootegem, Anahí; De Witte, Hans (2025).

  Work experiences and political participation outside work are intrinsically linked. Management scholars have acknowledged the role that organizations play in shaping political behavior from a firm-level perspective, but the specific working conditions and how they translate into employee political participation and attitudes outside work remain poorly understood. This paper offers an interdisciplinary review of the empirical literature from the past 25 years across the management and political science disciplines. It examines how individual work-related experiences (broadly categorized into job content, working environment, employment characteristics, and social relations at work) relate to political engagement outside of work: political participation, political attitudes, political trust, and political values. The results show that enabling work experiences (e.g., more skill use, autonomy, higher income, more social interactions) and experiences that caused grievances (e.g., more job or financial insecurity) were both related to more political participation but differed in their effect on political trust and regarding political attitudes on economic and cultural issues. We also review the main theoretical explanations and consolidate contradictions. Finally, we propose a future research agenda, calling for the expansion of theoretical lenses, a focus on individual-level explanatory mechanisms, and more multilevel research.
• Special Issue ‘Frictions: Conflicts, Controversies and Design Alternatives in Digital Valuation’. Digital Culture & Society (DCS) Burkhardt, Marcus; Kropf, Jonathan; Ochs, Carsten; Seitz, Tatjana (2025). (Vol. 9) transcript, Bielefeld.
• Local Digital Practices, Worldwide. Ochs, Carsten H. Friese, M. Nolden (eds.) (2025).
• Psychologische Online-Hilfe – ist sie ein gleichwertiger Ersatz für den herkömmlichen Besuch beim Psychotherapeuten?. Archipes (2025).

  Überrascht uns die Online-Therapie noch immer? Wir nehmen Rezepte online entgegen, erledigen Behördengänge und unterzeichnen Verträge. Allerdings bestehen gegenüber einer Ferntherapie immer noch Unsicherheiten: „Hilft mir eine solche Therapie genauso gut?“
• AMOC Variability in Climate Models and Its Dependence on the Mean State. Ferster, Brady S.; Fedorov, Alexey V.; Mignot, Juliette; Guilyardi, Eric (2025). 52(3) e2024GL110356.

  Abstract Understanding internal variability of the climate system is critical when isolating internal and anthropogenically forced signals. Here, we investigate the modes of Atlantic Meridional Overturning Circulation (AMOC) variability using perturbation experiments with the Institut Pierre-Simon Laplace's (IPSL) coupled model and compare them to Coupled Model Intercomparison Project Phase 6 (CMIP6) pre-industrial control simulations. We identify two characteristic modes of variability—decadal-to-multidecadal (DMDvar) and centennial (CENvar). The former is driven largely by temperature anomalies in the subpolar North Atlantic, while the latter is driven by salinity in the western subpolar North Atlantic. The amplitude of each mode scales linearly with the mean AMOC strength in the IPSL experiments. The DMDvar amplitude correlates well with the AMOC mean strength across CMIP6 models, while the CENvar mode does not. These findings suggest that the strength of DMDvar depends robustly on the North Atlantic mean state, while the CENvar mode may be model-dependent.
• Psychotherapie und ihre Rolle bei der Behandlung von Depressionen. Archipes (2025).

  Es gibt viele Möglichkeiten, Depressionen erfolgreich zu behandeln. Auch eine wirksame Behandlung kann viele Formen annehmen – manchmal genügt schon etwas mehr Bewegung, es gibt jedoch auch Fälle, in denen ein Krankenhausaufenthalt notwendig ist.
• Verschiedene Gesichter der (Psycho-)Therapie – Arten und Unterschiede. Archipes (2025).

  Psychische Probleme können jeden treffen, unabhängig von Alter und Geschlecht. Sollten Sie bei sich oder Ihren Angehörigen beunruhigende Symptome feststellen, lohnt sich der Besuch beim Facharzt. Allerdings gibt es viele Therapiearten und die Verantwortung für die richtige Auswahl liegt beim Arzt. Welche psychotherapeutischen Strömungen lassen sich unterscheiden? Wann sollte man zum Psychotherapeuten und wann zum Psychologen gehen?
• Malaria vaccine introduction in Africa: progress and challenges. Impouma, Benido; Adidja, Amani; Mboussou, Franck; Cabore, Joseph; Moeti, Matshidiso (2025). 405(10478) 521–524.
• Efficacy and Safety of Glucagon-Like Peptide-1 Receptor Agonists for Weight Loss Among Adults Without Diabetes: A Systematic Review of Randomized Controlled Trials. Moiz, Areesha; Filion, Kristian B.; Toutounchi, Helia; Tsoukas, Michael A.; Yu, Oriana H.Y.; Peters, Tricia M.; Eisenberg, Mark J. (2025).
• Gravitational Effects of a Small Primordial Black Hole Passing Through the Human Body. Scherrer, Robert J. (2025).
• Association between sociodemographic variables, healthy habits and stress with metabolic syndrome. A descriptive, cross-sectional study. López-González, Á A; Martínez-Almoyna Rifá, E; Paublini Oliveira, H; Martorell Sánchez, C; Tárraga López, P J; Ramírez-Manent, J I (2025). 51(6) 102455–102455.

  INTRODUCTION: Metabolic syndrome (MS) is a pathological condition that encompasses various cardiometabolic risk factors, such as obesity, dyslipidemia, hyperglycemia, and elevated blood pressure levels. It is considered a multifactorial pathological condition. The aim of this study is to assess how variables such as age, sex, socioeconomic status, tobacco and alcohol consumption, physical activity, adherence to the Mediterranean diet, and stress are associated with the prevalence of MS, determined using two different criteria. MATERIALS AND METHODS: This is a descriptive, cross-sectional study conducted on 24,224 Spanish workers, evaluating the association between sociodemographic variables, health habits, and stress with MS, determined using two criteria: the National Cholesterol Education Program, Adult Treatment Panel III (NCEP ATP-III), and the International Diabetes Federation (IDF). RESULTS: All the variables analyzed showed an association with the presence of MS when applying both criteria. Among them, the variables with the strongest association were age: odds ratio 5.55 (95% CI: 4.80-6.30) for MS using the NCEP ATP-III criteria and 6.71 (95% CI: 5.30-8.13) for IDF criteria; and type of job: odds ratio 3.42 (95% CI: 2.95-3.90) for NCEP ATP-III and 3.57 (95% CI: 3.12-4.03) for IDF. CONCLUSIONS: The profile of an individual at higher risk of developing MS under both criteria would be an older male, manual laborer, smoker, habitual alcohol consumer, sedentary, with low adherence to the Mediterranean diet, and experiencing high levels of stress.
• Vom Aufschwung der Rechtsradikalen – oder warum Friedrich Merz nach Österreich schauen sollte. Eisenreich, Ruth (2025).

  Friedrich Merz will Wähler*innen von der AfD zurückgewinnen, indem er sich ihr inhaltlich annähert. Ein Blick nach Österreich zeigt, warum das nicht nur moralisch, sondern auch wahltaktisch eine schlechte Idee ist. Ein Kommentar.
• ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace: An Interdisciplinary Perspective. Söllner, M.; Arnold, T.; Benlian, A.; Bretschneider, U.; Knight, C.; Ohly, S. (2025). 1–15.
• Gravitational Effects of a Small Primordial Black Hole Passing Through the Human Body. Scherrer, Robert J. (2025).
• Remarkable 2023 North Atlantic Ocean Warming. Carton, James A.; Chepurin, Gennady A.; Hackert, Eric C.; Huang, Boyin (2025). 52(3) e2024GL112551.

  Abstract In 2023 the NOAA Daily Optimum Interpolation Sea Surface Temperature in the Atlantic set new records, peaking above 24. 3°C for the full basin 30°S–60°N and above 25. 3°C for the North Atlantic 0–60°N, both for the first time during the satellite era. Proposed mechanisms include anomalous radiative and thermodynamic surface fluxes, horizontal transport, changing mixed layer thickness and basal entrainment rates. To test these ideas the heat budget of the ocean mixed layer was examined in a numerical simulation. The results show that the anomalous SSTs in the North Atlantic during the summer of 2023 were caused by increased shortwave warming and reduced thermodynamic cooling. In contrast, ocean mean and eddy heat transport convergence and heat exchanges along the mixed layer base dominate only regionally. A second contributor to the record SSTs was the preconditioning of mixed layer temperature following a series of anomalously warm years.
• Concepts for a German Small Sat Mission to (99942) Apophis. Männel, Jonathan; Neumann, Tobias; Kayal, Hakan; Riegler, Clemens; Amza, Andrei Alexandru (2024).
• Messung, Modellierung und Vorhersage der Netzwerkqualität mit Fokus auf das Internet der Dinge (IoT). Technical Report (PhD dissertation), Herrnleben, Stefan (2024).
• Does Employee Representation Foster Workplace Democracy?. Technical Report (13/24), Jirjahn, Uwe; Kiess, Johannes (2024).

  From a theoretical viewpoint it is not clear whether or not works councils contribute to workplace democracy. This study is the first to provide systematic evidence that employees in establishments with a works council experience more democracy at work than the ones in establishments without a works councils. Employees' unionization plays an important moderating role in the link between works councils and workplace democracy. The influence of works council presence on experienced democracy at work is more pronounced and much stronger for union members than for nonmembers.
• Digital Interventions for Anxiety Management using AI-Driven Mobile Applications Bakhsh, Mohammed Majid; Saimon, Abu Saleh Muhammad; Khan, A J M Obaidur Rahman in Texte und Untersuchungen zur Geschichte der altchristlichen Literatur (2024). Lepizig.
• Novel On-Board Data Processing Strategies on Nanosatellite SONATE-2. Maurer, Andreas; Balagurin, Oleksii; Greiner, Tobias; Herbst, Tobias; Kaiser, Tobias; Kayal, Hakan; Schwarz, Tobias (2024).

  Reliable on-board data handling is the backbone of every successful satellite mission. New scientific experiments can only be validated, and results obtained, if the recorded scientific data reaches the ground completely and correctly. For this, several special techniques were applied during the implementation of the SONATE-2 mission. Generic communication protocols were defined between all payloads, subsystems, and the On-board data handling (OBDH) of SONATE-2 to reduce the overall complexity of the data management system. With the help of these protocols, the development effort could be reduced, and the data transfers simplified. In addition, this allowed the communication interfaces to be simulated and quickly tested during development with a desktop computer using an OBDH-Simulator.
• 6U+ CubeSat SONATE2: Operation of an Optical AI Payload in Low Earth Orbit. Herbst, Tobias; Balagurin, Oleksii; Greiner, Tobias; Kaiser, Tobias; Kayal, Hakan; Maurer, Andreas; Schwarz, Tobias (2024).

  Optical payloads and other instruments can generate large amounts of data. Data acquisition is often limited by downlink capabilities, especially in the context of space exploration, as the NASA deep space network is said to be at capacity, for example. Intelligent onboard data processing can decrease the amount of data that has to be transferred to Earth. The Nanosatellite SONATE-2, developed and operated at the University of Würzburg, tackles this problem by demonstrating artificial intelligence technologies in a low Earth orbit. SONATE-2's AI payload has specialized hardware, featuring an NVIDIA Jetson NX System on Module (SoM) with a 6-Core ARM CPU and an NVIDIA Volta architecture GPU with Tensor cores that can infer and train neural networks. This SoM enables data processing using pre-trained models on the ground and training neural networks onboard. The Linux operating system of the AI Payload allows for the use of standard libraries, like CUDA, CudNN, or TensorFlow. The 6U+ CubeSat SONATE-2 was launched with the Transporter 10 Mission by Space X into a sun-synchronous orbit in March 2024. This work presents the results of the first months of operation of the SONATE-2 Nanosatellite. The primary mission objective is to demonstrate AI technologies in space, including anomaly detection, image segmentation, and object detection using four cameras, two in the visible spectrum and two in the near-infrared. This work focuses on the technical challenges and presents the methods used to operate the AI Payload in space. In addition, we give an overview of our experiences with managing the payload, including the thermal and power considerations. A brief outlook on the planned experiments within the mission duration of one year is presented.
• Messung, Modellierung und Vorhersage der Netzwerkqualität mit Fokus auf das Internet der Dinge (IoT). Technical Report (PhD dissertation), Herrnleben, Stefan (2024).
• Künstliche Intelligenz im Hochschulbereich und Datenschutz. Seckelmann, Margrit; Horstmann, Jan (2024). 2024(3) 169–184.
• Erste Flugergebnisse der Satellitenmission SONATE-2. Balagurin, O.; Greiner, T.; Herbst, T.; Kaiser, T.; Kayal, H.; Männel, J.; Maurer, A.; Neumann, T.; Riegler, C.; Schwarz, T. (2024).

  SONATE-2 ist eine Technologiedemonstrationsmission im 6U -CubeSat-Format, deren Hauptziel es ist, neuartige Methoden der künstlichen Intelligenz für den Einsatz auf Nanosatelliten im Orbit zu verifizieren. Nach etwa drei Jahren Entwicklungszeit wurde der SONATE-2-Satellit Anfang März 2024 durch eine Falcon-9-Rakete in den Low Earth Orbit befördert und wird seitdem vom eigenen Missionskontrollzentrum der Uni-versität Würzburg betrieben. Dieses Paper fasst die Ergebnisse der ersten fünf Monate des Satellitenbe-triebs zusammen.
• Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas (2024).

  Analyzing sequences of interactions between users and items, sequential recommendation models can learn user intent and make predictions about the next item. Next to item interactions, most systems also have interactions with what we call non-item pages: these pages are not related to specific items but still can provide insights into the user’s interests, as, for example, navigation pages. We therefore propose a general way to include these non-item pages in sequential recommendation models to enhance next-item prediction. First, we demonstrate the influence of non-item pages on following interactions using the hypotheses testing framework HypTrails and propose methods for representing non-item pages in sequential recommendation models. Subsequently, we adapt popular sequential recommender models to integrate non-item pages and investigate their performance with different item representation strategies as well as their ability to handle noisy data. To show the general capabilities of the models to integrate non-item pages, we create a synthetic dataset for a controlled setting and then evaluate the improvements from including non-item pages on two real-world datasets. Our results show that non-item pages are a valuable source of information, and incorporating them in sequential recommendation models increases the performance of next-item prediction across all analyzed model architectures.
• Concepts for a German Small Sat Mission to (99942) Apophis. Männel, Jonathan; Neumann, Tobias; Kayal, Hakan; Riegler, Clemens; Amza, Andrei Alexandru (2024).
• Training Large Language Models to Reason in a Continuous Latent Space. Hao, Shibo; Sukhbaatar, Sainbayar; Su, DiJia; Li, Xian; Hu, Zhiting; Weston, Jason; Tian, Yuandong (2024).
• EDSA: Leitlinien zur Datenverarbeitung aufgrund eines berechtigten Interesses. Horstmann, Jan (2024). 14(23) 01909.
• Novel On-Board Data Processing Strategies on Nanosatellite SONATE-2. Maurer, Andreas; Balagurin, Oleksii; Greiner, Tobias; Herbst, Tobias; Kaiser, Tobias; Kayal, Hakan; Schwarz, Tobias (2024).

  Reliable on-board data handling is the backbone of every successful satellite mission. New scientific experiments can only be validated, and results obtained, if the recorded scientific data reaches the ground completely and correctly. For this, several special techniques were applied during the implementation of the SONATE-2 mission. Generic communication protocols were defined between all payloads, subsystems, and the On-board data handling (OBDH) of SONATE-2 to reduce the overall complexity of the data management system. With the help of these protocols, the development effort could be reduced, and the data transfers simplified. In addition, this allowed the communication interfaces to be simulated and quickly tested during development with a desktop computer using an OBDH-Simulator.
• 6U+ CubeSat SONATE2: Operation of an Optical AI Payload in Low Earth Orbit. Herbst, Tobias; Balagurin, Oleksii; Greiner, Tobias; Kaiser, Tobias; Kayal, Hakan; Maurer, Andreas; Schwarz, Tobias (2024).

  Optical payloads and other instruments can generate large amounts of data. Data acquisition is often limited by downlink capabilities, especially in the context of space exploration, as the NASA deep space network is said to be at capacity, for example. Intelligent onboard data processing can decrease the amount of data that has to be transferred to Earth. The Nanosatellite SONATE-2, developed and operated at the University of Würzburg, tackles this problem by demonstrating artificial intelligence technologies in a low Earth orbit. SONATE-2's AI payload has specialized hardware, featuring an NVIDIA Jetson NX System on Module (SoM) with a 6-Core ARM CPU and an NVIDIA Volta architecture GPU with Tensor cores that can infer and train neural networks. This SoM enables data processing using pre-trained models on the ground and training neural networks onboard. The Linux operating system of the AI Payload allows for the use of standard libraries, like CUDA, CudNN, or TensorFlow. The 6U+ CubeSat SONATE-2 was launched with the Transporter 10 Mission by Space X into a sun-synchronous orbit in March 2024. This work presents the results of the first months of operation of the SONATE-2 Nanosatellite. The primary mission objective is to demonstrate AI technologies in space, including anomaly detection, image segmentation, and object detection using four cameras, two in the visible spectrum and two in the near-infrared. This work focuses on the technical challenges and presents the methods used to operate the AI Payload in space. In addition, we give an overview of our experiences with managing the payload, including the thermal and power considerations. A brief outlook on the planned experiments within the mission duration of one year is presented.
• Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas (2024). abs/2408.15953
• Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas (2024).
• Early Results and In-Flight Experience of the 6U-Mission SONATE-2. Schwarz, Tobias; Balagurin, Oleksii; Greiner, Tobias; Herbst, Tobias; Kaiser, Tobias; Kayal, Hakan; Maurer, Andreas (2024).

  SONATE-2 is a 6U+ CubeSat for technology demonstration developed at the University of Würzburg. It was launched on SpaceX' Transporter-10 mission into a 527x505 km Sun synchronous orbit on March 4, 2024.
• Evidence lacking for a pending collapse of the Atlantic Meridional Overturning Circulation. Chen, Xianyao; Tung, Ka-Kit (2024). 14(1) 40–42.
• Messung, Modellierung und Vorhersage der Netzwerkqualität mit Fokus auf das Internet der Dinge (IoT). Technical Report (PhD dissertation), Herrnleben, Stefan (2024).
• Nachhaltige Intelligenz – intelligente Nachhaltigkeit: transdisziplinäre Forschungsperspektiven. Whitepaper Hornung, Gerrit; Blättel-Mink, Birgit; Helmke, Jan Torben; Döben-Henisch, Gerd-Dietrich; Lamla, Jörn (2024). (Vol. 17)
• کتاب نانو سیم ها (دکتر افشین رشید) rashid, Afshin (2024). کتاب سبز.

  کتاب نانو سیم‌ها نوشته‌ی افشین رشید، انواع نانو سیم‌ها و کاربردهای آن‌ها را شرح می‌دهد. نانو سیم‌ها در علوم مکانیک، الکترونیک، اپتیک یا پزشکی کاربرد دارند. نانو سیم‌ها از ساختاری شگفت‌انگیز برخوردارند نانو سیم‌ها بسیار نازک هستند. ایجاد نانو سیمی فقط با قطر یک نانومتر امکان‌پذیر است. از نانو سیم‌ها برای ایجاد کوچکترین ترانزیستور‌ها یعنی (نانو ترانزیستورها) استفاده می‌شود. نانوسیم‌ها را می‌توان از فلزات، مواد نیمه هادی، مولکول‌های آلی و غیره تهیه کرد و نیز می‌توان آن‌ها را در علوم مکانیک، الکترونیک، اپتیک یا پزشکی به کار برد. در بخشی از کتاب نانو سیم‌ها می‌خوانیم: نانوسیم‌های نیمه هادی به عنوان دستهٔ قدرتمندی از مواد در حال ظهور می‌باشند که با کنترل رشد و سازمان‌دهی فرصت‌های جدیدی را برای دستگاه‌های الکترونیکی و فوتونیکی ریزمقیاس فراهم آورده‌ است. گروهی از روش‌ها برای ساخت نانوسیم‌های نیمه هادی در دسترس می‌باشند سیم‌های کوانتومی همگن را می‌توان با قطر پایین تا 3 نانومتر و با وجود ناخالصی‌های خاص برای کنترل ویژگی‌های الکترونیکی، ساخت. اخیراً رشد کنترل شدهٔ محوری و شعاعی ناهمگن به دست آمده‌ است که در آن به ترکیب یا دوپینگ به ترتیب بر روی یک سطح اتمی همراه یا عمود بر محور سیم کوانتومی سوار می‌شود.
• Using Machine Learning for Optical Spectroscopy Data Analysis - Processing Multiple Spatially Resolved Reflection Spectroscopy Data with Continuous Feature Networks Magnussen, Birk Martin PhD thesis, kassel university press. (2024).

  Living a healthy lifestyle is an ever-increasing priority. To facilitate such a healthy lifestyle, accurate, quick, and inexpensive feedback on diet quality is essential. Sensors based on multiple spatially resolved reflection spectroscopy aim to provide such feedback. However, current data processing algorithms require highly accurate hardware. This requirement for accuracy causes production costs of the sensors to be too expensive, while the application scope is too small to be viable for end-customers. In order to keep production costs low, new algorithms capable of handling production inaccuracies need to be developed. This thesis proposes such a novel neural network architecture called a continuous feature network. In addition to being well suited for the sensor data at hand, continuous feature networks are capable of compensating for sensor inaccuracies. A continuous feature network is also capable of predicting results from an input sample with partially missing data, allowing it to ignore certain production defects. In this thesis, continuous feature networks are proposed, implemented, trained, and investigated using real-world sensor data. To improve training, a novel method for semi-supervised learning based on the available datasets is introduced and evaluated. Based on the ability of the continuous feature network to operate on partially missing data, a novel explainable AI method is introduced, allowing to accurately quantify possible error sources for a measurement. The newly introduced methods are applied to the processing of sensor data, relaxing the requirement for highly accurate sensor hardware while increasing prediction accuracy. This enables a significant reduction in production rejects and thus sensor cost, while also allowing for the detection and prediction of new vitality parameters.
• Zusammenfassung und Ausblick. Ohly, Sandra (2024). 79–81.
• Callcenter. Ohly, Sandra; Sedefoglu, Didem (2024). 73–78.
• Einleitung. Ohly, Sandra (2024). 1–5.
• Arbeitsgestaltung in Zeiten von Digitalisierung und Homeoffice Implikationen für Lernen, Leistung und Work-Life Balance Ohly, Sandra; Bitter, Elisabeth; Harhoff, Nico; Hindiyeh, Alana; Schönne, Paulina; Urner, Lukasz; Sedefoglu, Didem (2024). Springer, Berlin, Heidelberg.
• Zukunft gestalten. Strategien für Infrastruktur und Beschäftigung in der regionalen und industriellen Transformation. Faktencheck: Kernenergie Klöppelt, Christian; Wagner, Patrick; Drechsler, Elisa; :Unav (2024).

  Weltweit befinden sich derzeit etwa 413 Kernreaktoren in Betrieb, doch Trends im Bereich Kernenergie sehen global sehr unterschiedlich aus. Selbst in Deutschland klingt die Debatte rund um das kontrovers diskutierte Thema so kurz nach dem vollendeten Aussstieg aus der Kernenergie nicht ab. Nach dem schrecklichen Unfall im Kernkraftwerk Fukushima hat die Bundesregierung entschieden, dass in Deutschland die Stromgewinnung nicht mehr über Kernkraftwerke erfolgen soll. Im April 2023 wurden die letzten Atomkraftwerke abgeschaltet. Stimmen, die für einen Wiedereinstieg in die friedliche Nutzung der Kernenergie plädieren, tun dies häufig auch im Namen des Klimaschutzes.
• Translations and Participation. Cross-Disciplinary Perspectives Dinkelaker Jörg; Wenten, Klara-Aylin (2024). transcript, Bielefeld.
• Die Zukunft des Konsums. Agenda zur Neuperspektivierung der Verbraucherforschung. Lamla, Jörn; Heidbrink, Ludger; Hohnsträter, Dirk; Loer, Kathrin; Roschka, Jakob (2024).
• Die Zukunft des Konsums. Agenda zur Neuperspektivierung der Verbraucherforschung. Lamla, Jörn; Heidbrink, Ludger; Hohnsträter, Dirk; Loer, Kathrin; Roschka, Jakob (2024).
• The Platformization of Media Structures as a Critical Juncture. A Pragmatist Perspective on Value Mediation by Journalistic Start-ups and Established Publishers. Uhlmann, Markus; Kropf, Jonathan; Horn, Viktoria; Draude, Claude; Lamla, Jörn (2024). (2/2024) 37–49.
• کتاب نانو ترانزیستور ها (دکتر افشین رشید) Rashid, Afshin (2023). کتاب سبز.

  کتاب نانو ترانزیستورهای گرافنی - کربنی نوشته‌ی افشین رشید، به شکل قابل درک و کامل به مطالب کاربردی و مهم نانو ترانزیستورهای گرافنی - کربنی می‌پردازد. در ستایش علم الکترونیک همین بس که کاربردی‌ترین علوم در جوامع می‌باشد و از یاد نبریم نانو میکرو الکترونیک برترین گرایش علوم الکترونیک و کلید دستیابی به یک فناوری برتر در نیمه‌ی سده پیش رو است. شاید باور کردنی نباشد اما تغییر در حجم و بازطراحی مدار‌های الکترونیکی و مخابراتی بر پایه علوم نانو الکترونیک می‌تواند تا چند برابر کارایی و قدرت این عناصر الکترونیکی افزایش دهد. در بخشی از کتاب نانو ترانزیستورهای گرافنی - کربنی می‌خوانیم: در تکثیر نانو ترانزیستور‌ها و نانو چیپ‌ها برای ساخت دو روش در نظر گرفته می‌شود: روش ساخت پایین به با و روش ساخت با به پایین. در روش ساخت پایین به با، وسایل و مواد از سطح مولکولی بر اساس اصول شیمی مولکولی ساخته می‌شوند درست مانند یک دیوار که از روی هم گذاشتن آجر به آجر ساخته می‌شود. در روش ساخت با به پایین، اشیاء نانویی بدون کنترل اتمی در مقادیر بزرگتر ساخته می‌شوند.
• A Step-by-Step Process of Thematic Analysis to Develop a Conceptual Model in Qualitative Research. Naeem, Muhammad; Ozuem, Wilson; Howell, Kerry; Ranfagni, Silvia (2023). 22 16094069231205789.

  Thematic analysis is a highly popular technique among qualitative researchers for analyzing qualitative data, which usually comprises thick descriptive data. However, the application and use of thematic analysis has also involved complications due to confusion regarding the final outcome’s presentation as a conceptual model. This paper develops a systematic thematic analysis process for creating a conceptual model from qualitative research findings. It explores the adaptability of the proposed process across various research methodologies, including constructivist methodologies, positivist methodologies, grounded theory, and interpretive phenomenology, and justifies their application. The paper distinguishes between inductive and deductive coding approaches and emphasizes the merits of each. It suggests that the derived systematic thematic analysis model is valuable across multiple disciplines, particularly in grounded theory, ethnographic approaches, and narrative approaches, while also being adaptable to more descriptive, positivist-based methodologies. By providing a methodological roadmap, this study enhances the rigor and replicability of thematic analysis and offers a comprehensive strategy for theoretical conceptualization in qualitative research. The contribution of this paper is a systematic six-step thematic analysis process that leads to the development of a conceptual model; each step is described in detail and examples are given.
• Reinterpreting Fundamental Plane Correlations with Machine Learning. Schafer, Chad; Singh, Sukhdeep; Jagvaral, Yesukhei (2023).
• Fast fitting of neural ordinary differential equations by Bayesian neural gradient matching to infer ecological interactions from time-series data. Bonnaffé, Willem; Coulson, Tim (2023). 14(6) 1543–1563.

  Abstract Inferring ecological interactions is hard because we often lack suitable parametric representations to portray them. Neural ordinary differential equations (NODEs) provide a way of estimating interactions non-parametrically from time-series data. NODEs, however, are slow to fit, and inferred interactions usually are not compared with the ground truth. We provide a fast NODE fitting method, Bayesian neural gradient matching (BNGM), which relies on interpolating time series with neural networks and fitting NODEs to the interpolated dynamics with Bayesian regularisation. We test the accuracy of the approach by inferring ecological interactions in time series generated by an ODE model with known interactions. We compare these results against three existing approaches for estimating ecological interactions, standard NODEs, ODE models and convergent cross-mapping (CCM). We also infer interactions in experimentally replicated time series of a microcosm featuring an algae, flagellate and rotifer population, in the hare and lynx system, and the Maizuru Bay community featuring 11 species. Our BNGM approach allows us to reduce the fitting time of NODE systems to only a few seconds and provides accurate estimates of ecological interactions in the artificial system, as true ecological interactions are recovered with minimal error. Our benchmark analysis reveals that our approach is both faster and more accurate than standard NODEs and parametric ODEs, while CCM was found to be faster but less accurate. The analysis of the replicated time series reveals that only the strongest interactions are consistent across replicates, while the analysis of the Maizuru community shows the strong negative impact of the chameleon goby on most species of the community, and a potential indirect negative effect of temperature by favouring goby population growth. Overall, NODEs alleviate the need for a mechanistic understanding of interactions, and BNGM alleviates the heavy computational cost. This is a crucial step availing quick NODE fitting to larger systems, cross-validation and uncertainty quantification, as well as more objective estimation of interactions, and complex context dependence, than parametric models.
• Reinterpreting Fundamental Plane Correlations with Machine Learning. Schafer, Chad; Singh, Sukhdeep; Jagvaral, Yesukhei (2023).
• Forum Privatheit und selbstbestimmtes Leben in der Digitalen Welt (2023): White White Paper „Privacy and Children’s Rights.“ Stapf, Ingrid; Meinert, Judith; Heesen, Jessica; Krämer, Nicole; Ammicht Quinn, Regina; Bieker, Felix; Friedewald, Michael; Geminn, Christian; Martin, Nicholas; Nebel, Maxi; Ochs, C.; Watzinger, L.; Baur, A. (2023).
• Size and velocity characteristics of spray droplets in near-region of liquid film breakup in a swirl atomizer. Vankeswaram, S.K.; Deivandren, Sivakumar (2022). 130 110505.
• Predicting intent behind selections in scatterplot visualizations. Gadhave, Kiran; Görtler, Jochen; Cutler, Zach; Nobre, Carolina; Deussen, Oliver; Meyer, Miriah; Phillips, Jeff M.; Lex, Alexander (2021). 20(4) 207–228.

  Predicting and capturing an analyst’s intent behind a selection in a data visualization is valuable in two scenarios: First, a successful prediction of a pattern an analyst intended to select can be used to auto-complete a partial selection which, in turn, can improve the correctness of the selection. Second, knowing the intent behind a selection can be used to improve recall and reproducibility. In this paper, we introduce methods to infer analyst’s intents behind selections in data visualizations, such as scatterplots. We describe intents based on patterns in the data, and identify algorithms that can capture these patterns. Upon an interactive selection, we compare the selected items with the results of a large set of computed patterns, and use various ranking approaches to identify the best pattern for an analyst’s selection. We store annotations and the metadata to reconstruct a selection, such as the type of algorithm and its parameterization, in a provenance graph. We present a prototype system that implements these methods for tabular data and scatterplots. Analysts can select a prediction to auto-complete partial selections and to seamlessly log their intents. We discuss implications of our approach for reproducibility and reuse of analysis workflows. We evaluate our approach in a crowd-sourced study, where we show that auto-completing selection improves accuracy, and that we can accurately capture pattern-based intent.
• Machine-learning computation of distance modulus for local galaxies. Elyiv, A.; Melnyk, O.; Vavilova, I.; Dobrycheva, D.; Karachentseva, V. (2020).
• Machine-learning computation of distance modulus for local galaxies. Elyiv, A.; Melnyk, O.; Vavilova, I.; Dobrycheva, D.; Karachentseva, V. (2020).
• A NEW STUDY TO FIND OUT THE BEST COMPUTATIONAL METHOD FOR SOLVING THE NONLINEAR EQUATION. Moheuddin, Mir Md. (2019). 6(1/2) 1–17.
• Triangulated categories of mixed motives. Cisinski, Denis-Charles; Déglise, Frédéric (2019).
• Comparison of four TAM item formats: effect of response option labels and order. Lewis, James R. (2019). 14(4) 224–236.

  The purpose of this research was to investigate the effect of manipulating item formats for a revised version of the Technology Acceptance Model (TAM) questionnaire. The TAM has 12 items, six assessing perceived usefulness (PU) and six assessing perceived ease of use (PEU). Its original purpose was to quantify likelihood of technology acceptance, using an item format with end anchors of "Likely" on the left and "Unlikely" on the right, and seven response options (from left to right) of "Extremely, Quite, Slightly, Neither, Slightly, Quite, Extremely." To revise the TAM to measure user experience (UX), it is necessary to change the items from assessments of likelihood to agreement. In this study, 546 participants rated their experience using IBM Notes with one of four versions of the modified TAM created by crossing two independent variables: Response format (labels or numbers) and Response order (increasing from right-to-left or from left-to-right), with participants about evenly divided among the four formats. A check on ratings of overall experience showed no significant difference as a function of format group, with similar nonsignificant results for the overall TAM scores. An analysis of variance examining the main effects and interaction of the two independent variables (response format and order) on TAM scores was also nonsignificant at similar levels. Factor analyses for each version produced the same alignment of items with the PU and PEU factors, consistent with the item alignment in the original TAM research. Beta weights for regression models predicting likelihood-of-use and overall experience from PU and PEU ratings were very similar for all four versions. The results indicate that the item format differences did not lead to any important differences in the magnitude or structure of TAM measurement, but there were significantly more response errors when the magnitude of agreement increased from right to left.
• InsideInsights: Integrating Data-Driven Reporting in Collaborative Visual Analytics. Mathisen, A.; Horak, T.; Klokmose, C. N.; Grønbæk, K.; Elmqvist, N. (2019). 38(3) 649–661.

  Abstract Analyzing complex data is a non-linear process that alternates between identifying discrete facts and developing overall assessments and conclusions. In addition, data analysis rarely occurs in solitude; multiple collaborators can be engaged in the same analysis, or intermediate results can be reported to stakeholders. However, current data-driven communication tools are detached from the analysis process and promote linear stories that forego the hierarchical and branching nature of data analysis, which leads to either too much or too little detail in the final report. We propose a conceptual design for integrated data-driven reporting that allows for iterative structuring of insights into hierarchies linked to analytic provenance and chosen analysis views. The hierarchies become dynamic and interactive reports where collaborators can review and modify the analysis at a desired level of detail. Our web-based InsideInsights system provides interaction techniques to annotate states of analytic components, structure annotations, and link them to appropriate presentation views. We demonstrate the generality and usefulness of our system with two use cases and a qualitative expert review.
• Bridging Data Silos Using Big Data Integration. Patel, Jayesh (2019). 11(2) 1–6.

  With cloud computing, cheap storage and technology advancements, an enterprise uses multiple applications to operate business functions. Applications are not limited to just transactions, customer service, sales, finance but they also include security, application logs, marketing, engineering, operations, HR and many more. Each business vertical uses multiple applications which generate a huge amount of data. On top of that, social media, IoT sensors, SaaS solutions, and mobile applications record exponential growth in data volume. In almost all enterprises, data silos exist through these applications. These applications can produce structured, semi-structured, or unstructured data at different velocity and in different volume. Having all data sources integrated and generating timely insights helps in overall decision making. With recent development in Big Data Integration, data silos can be managed better and it can generate tremendous value for enterprises. Big data integration offers flexibility, speed and scalability for integrating large data sources. It also offers tools to generate analytical insights which can help stakeholders to make effective decisions. This paper presents the overview on data silos, challenges with data silos and how big data integration can help to stun them.
• A NEW STUDY TO FIND OUT THE BEST COMPUTATIONAL METHOD FOR SOLVING THE NONLINEAR EQUATION. Moheuddin, Mir Md. (2019).
• CMOS Based High Accuracy Miniaturized Digital Sun Sensor with Optimized Error Compensation on SONATE. Baumann, Tom; Balagurin, Oleksii; Kayal, Hakan; Krainovic, Anselm; Luechtrath, Ludwig; Maurer, Andreas (2019). (Vol. IAC 2019 Congress Proceedings)

  This paper presents the design, the error compensation methods and satellite integration of a newly developed high accuracy miniature digital two-axis sun sensor, which will be used in the attitude determination and control system of SONATE, a nanosatellite mission developed at the University of Wuerzburg, scheduled for launch in 2019. Nanosatellite missions are putting difficult constraints on its subsystems in terms of size, power consumption and cost, whilst still demanding high performance. The developed sun sensor has been specifically designed to meet these requirements: Low cost is being achieved by the use of commercial grade components, which also provide high computing performance and small sizes. High accuracy is being achieved by compensating errors in the measurements of a CMOS based imaging sensor by the means of an optimized error compensation method, which also takes into account errors caused by optical refraction. The paper also discusses the integration and testing of the hardware in SONATE as well as the calibration techniques used to achieve a high accuracy in-system performance after the AIT phase. We were able to reduce the physical dimensions of the sensor to 25x14x3mm. Measurement results show that the developed sun sensor achieves an angular accuracy of better than 0.4 degrees with a field-of-view greater than +-50 degrees. The optimized error compensation method effectively reduces major error factors and significantly improves accuracy. Radiation and environmental testing have already successfully verified space suitability of the sensor; in orbit testing will validate the design.
• WEB-BASED IRRIGATION MONITORING AND CONTROL SYSTEM Wodadaya Nafutali, Semwogerere Twaibu (2019). (Vol. 11) IJCSEIT.

  In Uganda, as well as other developing countries, the increasing population stimulates the agricultural-related activities such as irrigation. Irrigation is basically done by humans and generally requires exhaustive physical efforts and involves exposure to errors during irrigation. Despite the advances in the irrigation and its wide spreading applications, irrigation remains majorly manual. Since irrigating is a difficult process especially when irrigating a big piece of land, it is necessary to simplify the process, thus web based system in irrigating was introduced and existing implementations have limitations such as irrigating at wrong hours, continued wastage of water, so prevent all this, a new system that uses a web control to remotely irrigate from a distance has been developed ,therefore main objective of this project is to design and develop a web based irrigation monitoring and control system since it is observed that this method is more reliable and efficient compared to the existing methods. The developed system is able to automatically receive the moisture levels from the field, responds to the different commands sent by the user to do the irrigation and the user is also able to switch on and off the pump.
• 3U satellite bus SONATE for technology demonstration of autonomous payloads,. Balagurin, Oleksii; Baumann, Tom; Greiner, Tobias; Kayal, Hakan; Maurer, Andreas; Rapp, Thomas; Schwarz, Tobias R. Sandau, K. Brieß, E. Gill (eds.) (2019). (Vol. 2) 297–301.

  SONATE is a technology demonstration mission specially designed for two particular highly autonomous payloads. These two payloads can plan and act independently of the ground segment. In order to support this autonomous operation a satellite bus with particular features was created. The main focus of this paper concentrates on the OBDH and the power generation and distribution subsystem, because the OBDH interacts strongly with the payload’s autonomous functionalities. In addition, large amounts of observation image data will be handled by the OBDH. Since the required scheduling and diagnostic algorithms are very computationally intensive, the processing electronics of the payloads consume electric power in the range of several watts. The whole satellite system was manufactured and qualified. This paper will conclude with the results of the qualification tests.
• ArviZ a unified library for exploratory analysis of Bayesian models in Python. Kumar, Ravin; Carroll, Colin; Hartikainen, Ari; Martin, Osvaldo (2019). 4(33) 1143.
• Practical Machine Learning with Python Sarkar, Dipanjan; Bali, Raghav; Sharma, Tushar (2018). Apress.

  Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries andframeworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
• Thematic analysis. Clarke, Victoria; Braun, Virginia (2017). 12(3) 297–298.
• HindSight: Encouraging Exploration through Direct Encoding of Personal Interaction History. Feng, Mi; Deng, Cheng; Peck, Evan M.; Harrison, Lane (2017). 23(1) 351–360.

  Physical and digital objects often leave markers of our use. Website links turn purple after we visit them, for example, showing us information we have yet to explore. These “footprints” of interaction offer substantial benefits in information saturated environments - they enable us to easily revisit old information, systematically explore new information, and quickly resume tasks after interruption. While applying these design principles have been successful in HCI contexts, direct encodings of personal interaction history have received scarce attention in data visualization. One reason is that there is little guidance for integrating history into visualizations where many visual channels are already occupied by data. More importantly, there is not firm evidence that making users aware of their interaction history results in benefits with regards to exploration or insights. Following these observations, we propose HindSight - an umbrella term for the design space of representing interaction history directly in existing data visualizations. In this paper, we examine the value of HindSight principles by augmenting existing visualizations with visual indicators of user interaction history (e.g. How the Recession Shaped the Economy in 255 Charts, NYTimes). In controlled experiments of over 400 participants, we found that HindSight designs generally encouraged people to visit more data and recall different insights after interaction. The results of our experiments suggest that simple additions to visualizations can make users aware of their interaction history, and that these additions significantly impact users' exploration and insights.
• Effects of Sensemaking Translucence on Distributed Collaborative Analysis. Goyal, Nitesh; Fussell, Susan R. in CSCW ’16 (2016). 288–302.

  Collaborative sensemaking requires that analysts share their information and insights with each other, but this process of sharing runs the risks of prematurely focusing the investigation on specific suspects. To address this tension, we propose and test an interface for collaborative crime analysis that aims to make analysts more aware of their sensemaking processes. We compare our sensemaking translucence interface to a standard interface without special sensemaking features in a controlled laboratory study. We found that the sensemaking translucence interface significantly improved clue finding and crime solving performance, but that analysts rated the interface lower on subjective measures than the standard interface. We conclude that designing for distributed sensemaking requires balancing task performance vs. user experience and real-time information sharing vs. data accuracy.
• SERVICE SELECTION BASED ON DOMINANT ROLE OF THE CHOREOGRAPHY. Pandey, Ravi Shankar; Pathak, Richa (2016). 7(1) 23–39.

  Web services are playing dominant role on Internet for e-business. The compositions of these services are used to meet business objectives. The web service choreography describes the external observable behavior of these compositions. Many compositions may available for same functionality. These compositions cannot be distinguished on the basis of functional properties. This Quality of services (QoS) may help the user to select web services and to analyze composition of the web services. Web service choreography is going to dictate implementation of workflow. This workflow consists of several tasks. Each task is implemented by web services. These services are hosted in large numbers by different service providers on different service clusters. The mapping of service and task is difficult issue in run time environment. The interoperability between services is also a great problem. The selection of services is very big issue. In this paper we have proposed a bio-inspired selection algorithm based on dominant role and proposed a discovery infrastructure. We have also used the client behavior to improve the failure of the composition of the service.
• SenseMap: Supporting browser-based online sensemaking through analytic provenance. Nguyen, Phong H.; Xu, Kai; Bardill, Andy; Salman, Betul; Herd, Kate; Wong, B.L. William (2016). 91–100.

  Sensemaking is described as the process in which people collect, organize and create representations of information, all centered around some problem they need to understand. People often get lost when solving complicated tasks using big datasets over long periods of exploration and analysis. They may forget what they have done, are unaware of where they are in the context of the overall task, and are unsure where to continue. In this paper, we introduce a tool, SenseMap, to address these issues in the context of browser-based online sensemaking. We conducted a semi-structured interview with nine participants to explore their behaviors in online sensemaking with existing browser functionality. A simplified sensemaking model based on Pirolli and Card's model is derived to better represent the behaviors we found: users iteratively collect information sources relevant to the task, curate them in a way that makes sense, and finally communicate their findings to others. SenseMap automatically captures provenance of user sensemaking actions and provides multi-linked views to visualize the collected information and enable users to curate and communicate their findings. To explore how SenseMap is used, we conducted a user study in a naturalistic work setting with five participants completing the same sensemaking task related to their daily work activities. All participants found the visual representation and interaction of the tool intuitive to use. Three of them engaged with the tool and produced successful outcomes. It helped them to organize information sources, to quickly find and navigate to the sources they wanted, and to effectively communicate their findings.
• Evaluating How Level of Detail of Visual History Affects Process Memory. Ragan, Eric D.; Goodall, John R.; Tung, Albert in CHI ’15 (2015). 2711–2720.

  Visual history tools provide visual representations of the workflow during data analysis tasks. While there is an established need for reviewing analytic processes, and many visual history tools provide visualizations to do so, it is not well known how helpful the tools actually are for process recall. Through a controlled experiment, we evaluated how the presence of a visual history aid and varying levels of visual detail affect process memory. Participants conducted an analysis task using a visual text-document analysis tool. We evaluated their memories of the process both immediately after the analysis and then again one week later. Results showed that even visual history views with reduced data-resolution were effective for aiding process memory. Further, even without inclusion of any data in the visual history aids, the visual cues alone from the final workspace were enough to improve memory of the main themes of analyses.
• Residual multiples attenuation based on AVO. chang*, Yi shu; zheng, Wang; xia, Jin ming (2015). 4490–4494.
• Top Manufacturer of Orthocoir Sheets, Coir Cake & China Coir. coir, We (W. Coir, ed.) (2012).
• Characterizing users’ visual analytic activity for insight provenance. Gotz, David; Zhou, Michelle X. (2008). 123–130.

  Insight provenance - a historical record of the process and rationale by which an insight is derived - is an essential requirement in many visual analytics applications. While work in this area has relied on either manually recorded provenance (e.g., user notes) or automatically recorded event-based insight provenance (e.g., clicks, drags, and key-presses), both approaches have fundamental limitations. Our aim is to develop a new approach that combines the benefits of both approaches while avoiding their deficiencies. Toward this goal, we characterize userspsila visual analytic activity at multiple levels of granularity. Moreover, we identify a critical level of abstraction, Actions, that can be used to represent visual analytic activity with a set of general but semantically meaningful behavior types. In turn, the action types can be used as the semantic building blocks for insight provenance. We present a catalog of common actions identified through observations of several different visual analytic systems. In addition, we define a taxonomy to categorize actions into three major classes based on their semantic intent. The concept of actions has been integrated into our labpsilas prototype visual analytic system, HARVEST, as the basis for its insight provenance capabilities.
• Examining Statistics of Workflow Evolution Provenance: A First Study. Lins, Lauro; Koop, David; Anderson, Erik W.; Callahan, Steven P.; Santos, Emanuele; Scheidegger, Carlos E.; Freire, Juliana; Silva, Cláudio T. B. Ludäscher, N. Mamoulis (eds.) (2008). 573–579.

  Provenance (also referred to as audit trail, lineage, and pedigree) captures information about the steps used to generate a given data product. Such information provides documentation that is key to determining data quality and authorship, and necessary for preserving, reproducing, sharing and publishing the data. Workflow design, in particular for exploratory tasks (e.g., creating a visualization, mining a data set), requires an involved, trial-and-error process. To solve a problem, a user has to iteratively refine a workflow to experiment with different techniques and try different parameter values, as she formulates and test hypotheses. The maintenance of detailed provenance (or history) of this process has many benefits that go beyond documentation and result reproducibility. Notably, it supports several operations that facilitate exploration, including the ability to return to a previous workflow version in an intuitive way, to undo bad changes, to compare different workflows, and to be reminded of the actions that led to a particular result [2].
• Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation. Heer, Jeffrey; Mackinlay, Jock; Stolte, Chris; Agrawala, Maneesh (2008). 14(6) 1189–1196.

  Interactive history tools, ranging from basic undo and redo to branching timelines of user actions, facilitate iterative forms of interaction. In this paper, we investigate the design of history mechanisms for information visualization. We present a design space analysis of both architectural and interface issues, identifying design decisions and associated trade-offs. Based on this analysis, we contribute a design study of graphical history tools for Tableau, a database visualization system. These tools record and visualize interaction histories, support data analysis and communication of findings, and contribute novel mechanisms for presenting, managing, and exporting histories. Furthermore, we have analyzed aggregated collections of history sessions to evaluate Tableau usage. We describe additional tools for analyzing userspsila history logs and how they have been applied to study usage patterns in Tableau.
• Defacement : public secrecy and the labor of the negative Taussig, Michael T. (1999). Stanford University Press, Stanford, California.
• Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. Hart, Sandra G.; Staveland, Lowell E. P. A. Hancock, N. Meshkati (eds.) (1988). (Vol. 52) 139–183.

  The results of a multi-year research program to identify the factors associated with variations in subjective workload within and between different types of tasks are reviewed. Subjective evaluations of 10 workload-related factors were obtained from 16 different experiments. The experimental tasks included simple cognitive and manual control tasks, complex laboratory and supervisory control tasks, and aircraft simulation. Task-, behavior-, and subject-related correlates of subjective workload experiences varied as a function of difficulty manipulations within experiments, different sources of workload between experiments, and individual differences in workload definition. A multi-dimensional rating scale is proposed in which information about the magnitude and sources of six workload-related factors are combined to derive a sensitive and reliable estimate of workload.
• DISTRIBUTION OF MAXIMAL CLIQUE SIZE UNDER THE WATTS-STROGATZ MODEL OF EVOLUTION OF COMPLEX NETWORKS. Meghanathan, Natarajan (1986). 1(1) 54–75.

  This is a review of bootstrap methods, concentrating on basic ideas and applications rather than theoretical considerations. It begins with an exposition of the bootstrap estimate of standard error for one-sample situations. Several examples, some involving quite complicated statistical procedures, are given. The bootstrap is then extended to other measures of statistical accuracy such as bias and prediction error, and to complicated data structures such as time series, censored data, and regression models. Several more examples are presented illustrating these ideas. The last third of the paper deals mainly with bootstrap confidence intervals
• Internal flow characteristics of simplex swirl atomizers. Rizk, N.K.; Lefebvre, A.H. (1985). 1(3) 193–199.
• Uloga džamije Mehmed-bega Stočanina u formiranju Gornjeg Vakufa: povodom nove izgradnje džamije Hadžijahić, Muhamed; Mujezinović, Mehmed; Hadžiabdić, Fahrija (1971). 48. Odbor islamske zajednice Gornji Vakuf, Gornji Vakuf.
• How do committees design?. Conway, Melvin E. (1968). 28–31.

  Author's note 42 years after publication: Perhaps this paper's most remarkable feature is that it made it to publication with its thesis statement in the third-last paragraph. To save you the trouble of wading through 45 paragraphs to find the thesis, I'll give an informal version of it to you now: Any organization that designs a system (defined more broadly here than just information systems) will inevitably produce a design whose structure is a copy of the organization's communication structure. This turns out to be a principle with much broader utility than in software engineering, where references to it usually occur. I invite you to read the paper, then look around to find applications. My current favorite is the complex of social issues encompassing poverty in America: access to labor markets, housing, education, and health care. After reading the paper, think about how the structures of our various governments affect their approaches to this system.