Das L3S ist ein Forschungszentrum für grundlagen- und anwendungsorientierte Forschung im Bereich Digitale Transformation sowie Data- und Web-Science. L3S-Forscher entwickeln zukunftsweisende Methoden und Informationstechnologien für intelligente, zuverlässige und verantwortungsvolle Systeme, welche zur Gestaltung der digitalen Transformation und zur nachhaltigen Innovation beitragen. Der Wissentransfer in Wirtschaft, Politik und Gesellschaft bildet einen zentralen Baustein der Aktivitäten des L3S.

Das L3S erforscht die Auswirkungen des digitalen Wandels, um aus den Erkenntnissen Handlungsoptionen, -empfehlungen sowie Innovationsstrategien für die Wirtschaft, die Politik und Gesellschaft herzuleiten. Durch Forschung, Entwicklung und Beratung trägt das L3S gemeinsam mit seinen Partnern zur digitalen Transformation insbesondere in den Bereichen Mobilität, Gesundheit, Produktion und Bildung bei.

Das L3S ist eine gemeinsame Einrichtung der Leibniz Universität Hannover und der Technischen Universität Braunschweig mit rund 150 Wissenschaftlern aus unterschiedlichen Disziplinen an Universitäten und einem Leibniz-Institut (der TIB). Das aktuelle jährliche Drittmittelvolumen des L3S beträgt etwa 6 Mio. Euro, Niedersachsen fördert das L3S zusätzlich mit jährlich etwa 2 Mio. Euro. Das L3S wurde 2011 und 2014 vom Wissenschaftsrat als exzellente Einrichtung evaluiert, führend im Bereich Web Science.

• ARCADES: A RISC-V-Coupled Accelerator for Discrete Event Simulation. Wilbert, Nils; Christ, Derek; Grundheber, Timo; Jung, Matthias in RAPIDO ’26 (2026).
• ARCADES: A RISC-V-Coupled Accelerator for Discrete Event Simulation. Wilbert, Nils; Christ, Derek; Grundheber, Timo; Jung, Matthias in RAPIDO ’26 (2026).
• Expanding the Late Quaternary morphochronology of Atacama’s coastal alluvial fans by Schmidt hammer exposure dating reveals spatially distinct genesis. Walk, Janek (2026). 21 100305.

  Late Quaternary alluvial fans along the coast of the hyperarid Atacama Desert have been exploited as palaeoenvironmental archives by several studies. However, a regional palaeoenvironmental interpretation remains challenging as established geochronological frameworks are based on a limited number of sites where fan aggradation was constrained by numerical dating. Consequently, it is unclear to what extent fan aggradation and progradation is controlled by large-scale allogenic versus individual autogenic forcing. To therefore expand the regional alluvial fan morphochronology along the south-central coast, the applicability of cost-effective Schmidt hammer exposure dating (SHD) was explored on boulders of plutonic lithology. The independently exposure-dated coastal alluvial fan (CAF) Paposo served as regional age-calibration site for SHD of 11 telescopic CAFs between 24.25°S and 25.25°S. SHD was complemented by the assessment of the CAFs’ terrestrial and shelf morphometry and the hydromorphometric and climatic catchment properties. The results of the successfully calibrated SHD suggest that weathering in the coastal desert allows for age ranges extending over the Late Quaternary. The expanded morphochronology reveals a distinct fan evolution segmenting a synchronous morphogenesis south of 24.85°S from a diachronous one in the north. Spatial segmentation is reflected in specific catchment hydromorphometric characteristics and differences in the relationships between terrestrial fan versus shelf gradients – the latter indicating a dominant allogenic control of eustatic sea-level changes at least in the south. While spatiotemporal variability in Late Quaternary precipitation and tectonic activity may constitute additional relevant factors, diachronism of northern CAF evolution could also be the response to individual autogenic fan dynamics.
• Expanding the Late Quaternary morphochronology of Atacama’s coastal alluvial fans by Schmidt hammer exposure dating reveals spatially distinct genesis. Walk, Janek (2026). 21 100305.

  Late Quaternary alluvial fans along the coast of the hyperarid Atacama Desert have been exploited as palaeoenvironmental archives by several studies. However, a regional palaeoenvironmental interpretation remains challenging as established geochronological frameworks are based on a limited number of sites where fan aggradation was constrained by numerical dating. Consequently, it is unclear to what extent fan aggradation and progradation is controlled by large-scale allogenic versus individual autogenic forcing. To therefore expand the regional alluvial fan morphochronology along the south-central coast, the applicability of cost-effective Schmidt hammer exposure dating (SHD) was explored on boulders of plutonic lithology. The independently exposure-dated coastal alluvial fan (CAF) Paposo served as regional age-calibration site for SHD of 11 telescopic CAFs between 24.25°S and 25.25°S. SHD was complemented by the assessment of the CAFs’ terrestrial and shelf morphometry and the hydromorphometric and climatic catchment properties. The results of the successfully calibrated SHD suggest that weathering in the coastal desert allows for age ranges extending over the Late Quaternary. The expanded morphochronology reveals a distinct fan evolution segmenting a synchronous morphogenesis south of 24.85°S from a diachronous one in the north. Spatial segmentation is reflected in specific catchment hydromorphometric characteristics and differences in the relationships between terrestrial fan versus shelf gradients – the latter indicating a dominant allogenic control of eustatic sea-level changes at least in the south. While spatiotemporal variability in Late Quaternary precipitation and tectonic activity may constitute additional relevant factors, diachronism of northern CAF evolution could also be the response to individual autogenic fan dynamics.
• Implementation and Evaluation of Mobility Functions and QoS Metrics for Mobile Nodes in MARKlab. Technical Report (Master thesis), Finke, Nikolas PhD thesis, University of Würzburg. (2025, September).
• Sustainable Sacrificial Layer Free Transfer of Thin-Film Electronics using a Super-Hydrophilic Substrate. Nijkoops, Annelot; Zamboni, Riccardo; Maqsood, Hafiza Faiqa; Rasheed, Ahmed; Gurusekaran, Arvind; Alleva, Alessandro; Boom, Remko Marcel; Petti, Luisa; Münzenrieder, Niko (2025). 7(21) 9610–9622.
• Submersible touchless interactivity in conformable textiles enabled by highly selective overbraided magnetoresistive sensors. Lugoda, Pasindu; Oliveros-Mata, Eduardo Sergio; Marasinghe, Kalana; Bhaumik, Rahul; Pretto, Niccolò; Oliveira, Carlos; Dias, Tilak; Hughes-Riley, Theodore; Haller, Michael; Münzenrieder, Niko; Makarov, Denys (2025). 4(1) 33.

  Miniature electronics positioned within textile braids leverages the persistent flexibility and comfort of textiles constructed from electronics with 1D form factors. Here, we developed touchless interactivity within textiles using 1D overbraided magnetic field sensors. Our integration strategy minimally impacts the performance of flexible giant magnetoresistive sensors, yielding machine-washable sensors that maintain conformability when integrated in traditional fabrics. These overbraided magnetoresistive sensors exhibit a detectivity down to 380 nT and a nearly isotropic magnetoresistance amplitude response, facilitating intuitive touchless interaction. The interactivity is possible even in humid environments, including underwater, opening reliable activation in day-to-day and specialized applications. To showcase capabilities of overbraided magnetoresistive sensors, we demonstrate a functional armband for navigation control in virtual reality environments and a self-monitoring safety helmet strap. This approach bridges the integration gap between on-skin and rigid magnetic interfaces, paving the way for highly reliable, comfortable, interactive textiles across entertainment, safety, and sportswear.
• Inductive Pressure Sensors Using 3D-Printed Structures With Tunable Stiffness. Bhaumik, Rahul; Preindl, Thomas; Ion, Alexandra; Ayala-Garcia, Camilo; Cohen, Nitzan; Haller, Michael; Münzenrieder, Niko (2025). 9(5) 1–4.

  Modern 3-D printing techniques enable the rapid prototyping of complex mechanical structures. We leverage this capability to create customizable pressure sensors by combining soft and ferromagnetic filaments during the printing process. The resulting inductive sensors utilize a lattice structure based on a body-centered cubic unit cell, exhibiting tunable stiffness with Young's moduli ranging from 112 to 368 kPa and sensitivities between \($-$\)0.17 and \($-$\)0.11% kPa\($^-1$\). The sensors show minimal hysteresis and remain stable throughout 10 000 compression cycles. The versatility of this approach is further demonstrated through the fabrication of a fully printed inductive joystick.
• Soft magnetic microrobots with remote sensing and communication capabilities. Gao, Quan; Kim, Minsoo; von Arx, Denis; Zhang, Elric; Zhang, Xinzhi; Ye, Hao; Vogt, Christian; Ehmke, Claas; Corsino, Dianne; Catania, Federica; Münzenrieder, Niko; Magno, Michele; Cantarella, Giuseppe; Nelson, Bradley J.; Pané, Salvador (2025). 16(1) 10489.

  Remote communication in small-scale robotics offers a powerful way to enhance their capabilities, introducing options for state monitoring, multi-agent collaboration, and autonomous operation. Integrating common remote communication tools, such as antennas, into microrobots is challenging with conventional design and manufacturing techniques. We propose a concept that integrates shape-reconfigurable soft microrobots with flexible electronics, leveraging their elastic mechanical properties to enable remote communication. This approach, based on photolithography processes, is scalable and adaptable to various sensing applications. As a proof of concept, we present a microrobot, which integrates a thermoresponsive magnetic hydrogel, an anisotropic support structure, and a flexible dipole antenna into a cohesive three-layered design. The microrobot can morph from a helical shape at low-temperatures to a planar shape at high-temperatures. This shape transformation can be remotely detected by external radio communication receivers, enabling shape-state recognition and environmental temperature sensing. Furthermore, we show that the collective behavior of multiple microrobots enhances the recognition performance by amplifying the signal. The concept represents a significant advancement in co-engineering smart materials and flexible electronics, illustrating an approach of microrobotic embodied intelligence by integrating environmental monitoring, magnetic navigation, and remote signaling.
• Embroidering Resonant Circuits for Inductive Pressure Sensing. Pointner, Andreas; Preindl, Thomas; Haberfellner, Mira A.; Cohen, Nitzan; Münzenrieder, Niko; Haller, Michael in UIST ’25 (2025). 1–7.
• Direct Fabrication and Performance Evaluation of InGaZnO Thin-Film Electronics on a Flexible Polyurethane Substrate. Münzenrieder, Niko; Petti, Luisa; de Souza Oliveira, Hugo; Cantarella, Giuseppe; Libanori, Rafael; Studart, André R. (2025). 1–5.

  The direct fabrication of thin-film transistors (TFTs) based on Indium-Gallium-Zinc-Oxide (IGZO) on a flexible polyurethane (PU) substrate is presented. Polyurethane, with its mechanical flexibility, durability, and potential for environmental sustainability, offers a promising platform for flexible electronics. Here, a custom polyurethane film was synthesized and a low-temperature fabrication process (T ≤130◦C) was developed for the realization of oxide-based electronics on this flexible material. The fabricated TFTs exhibited an effective mobility of 15.3cm2V−1s−1, an on/off current ratio exceeding 105, and a threshold voltage of 0.8V. Additionally, the devices demonstrated long-term stability, retaining functionality after over 12 years of storage. The performance of the TFTs on PU is also compared to similar devices realized on a variety of other polymer substrates. The results demonstrate the feasibility of integrating IGZO transistors on polyurethane substrates for flexible electronic applications. Hence PU can open up a path towards unobtrusive and environmentally friendly wearable systems exhibiting mechanical adaptability, long-term reliability, or repairability.
• InGaZnO‐Based Thin‐Film Thermistors on PEEK Fabric for Green Smart Textiles. Lanthaler, Albert Heinrich; Vasquez, Sahira; Zamboni, Riccardo; Haller, Michael; Petti, Luisa; Münzenrieder, Niko; Cantarella, Giuseppe (2025). 11(18) e00146.
• Threshold Voltage Instability and Dielectric Breakdown in Flexible Bottom-Gate Ti/Al2O3/IGZO Thin-Film Transistors. De Rosis, Domenico; Vatalaro, Massimo; Maccaronio, Vincenzo; Crupi, Felice; Münzenrieder, Niko; Catania, Federica; Corsino, Dianne; Cantarella, Giuseppe; Petti, Luisa; De Rose, Raffaele (2025). 4(8) 310–317.

  This article explores the instability of threshold voltage ( \($V _\textit TH$\) ) and dielectric breakdown in flexible n-type thin-film transistors (TFTs) featuring a bottom-gate Ti/Al2O3/indium–gallium–zinc-oxide (IGZO) structure. Measurements were performed in dark conditions at \($25~^\circ $\) C on a set of devices with the same channel width ( \($W=280~\mu $\) m) and different channel lengths (L) ranging from 100 down to \($5~\mu $\) m. Regarding the \($V _\textit TH$\) instability, both hysteresis (applying \($V _\textit GS$\) from −1 to 5 V and vice versa) and positive gate bias stress (applying \($V _\text GS=5$\) V for 1000 s) data show a positive \($V _\textit TH$\) shift ( \($\Delta V _\textit TH$\) ) ascribed to electron trapping at the channel/oxide interface or within the bulk oxide. Our study also demonstrates that in some devices, the stress-induced \($\Delta V _\textit TH$\) is fully recovered by applying \($V _\textit GS=-2$\) V for 1000 s as a result of releasing charges previously trapped during stress. Moreover, measurements highlight an increasing trend of both hysteresis- and stress-induced \($\Delta V _\text TH$\) for shorter channel devices. Consistently, time-dependent dielectric breakdown data (applying VG = 11 V) indicate a faster process in smaller devices. Then, overall results show lower reliability in more scaled devices, thus proving that a key challenge for the investigated technology is to realize reliable short-channel TFTs.
• Sensing performance of EGFET nitrate sensor with zinc oxide (ZnO) and polyaniline (PANI). Robaiah, M.; Abdullah, N.F.; Khusaimi, Z.; Afaah, A.N.; Münzenrieder, N.; Abdullah, W.F.H. (2025). 1038 182364.
• Banana Prompts - Share & Discover AI Image Prompts. SpinachBuilds (2025).

  banana-prompts: a community library of ready-to-use AI prompts for developers, marketers, and anyone who's tired of guessing how to talk to AI. Find your scenario, grab the prompt, get results."
• Enhancing Humidity Sensing with Functionalized Perylene-Coated Dispense Printed Electrodes: A Comparative Study. Vasquez, Sahira; Morales-Cámara, Samuel; Moraila, Carmen; Houeix, Yann; Blasco Pascual, Isabel; Salmerón, José F.; Rodríguez-Diéguez, Antonio; Rojas, Sara; Münzenrieder, Niko; Petti, Luisa; Lugli, Paolo; Rivadeneyra, Almudena (2025). 7(14) 6311–6321.
• Application of Agave Silk Fibers in Sustainable and Flexible Electronics. Krik, S.; Rasheed, A.; Trentini, G.; Pompilio, M.; Gharehbagh, J. S.; Maqsood, H. F.; Bombardelli, G.; Lugli, P.; Petti, L.; Gaiardo, A.; Münzenrieder, N.; Cacialli, F.; Ciocca, M. (2025). 1–4.

  Developing novel biodegradable substrates for electronics is crucial for reducing e-waste, minimizing environmental impact, and promoting sustainable resource use. Here, for the first time, we report the use of Agave silk fibers (ASFs) in sustainable and flexible electronics. Morphological characterization was carried out on the obtained ASFs-based substrate, showing an average thickness of \($83 \mu \mathrmm$\) and an average roughness (\($R_a$\)) of \($2.6 \mu \mathrmm$\), with the silk fibers composing the substrate having an average length and width of \($243.8 \mu \mathrmm$\) and \($26.2 \mu \mathrmm$\) respectively. Biodegradability tests showed that the substrate fully degraded after 2 days and 7 hours in water. As a proof of concept, a copperbased resistance temperature detector (RTD) was fabricated and thermally characterized. The electrical characterization showed a sensitivity of \($0.26 \% ^\circ \mathrmC^-1$\) and \($0.24 \% ^\circ \mathrmC^-1$\) during heating and cooling, respectively. To evaluate the repeatability of the sensors, 10 cycles of heating (55° C) and cooling (25° C) were carried out, showing stable behavior for 7 h. To confirm the mechanical stability of the device, bending tests were performed, showing a stable resistance of the RTD at different bending radii.
• Relative Gate Placement in Multimodal Thin‐Film Transistors for Negligible Impact on DC Characteristics. Niaz, Atif; Bestelink, Eva; Münzenrieder, Niko; Sporea, Radu A. (2025). 56(S1) 92–92.
• Enabling Proprioception in Multistable Soft Machines Through Embedded Soft Capacitive Sensors. de Souza Oliveira, Hugo; Li, Xin; Khaanghah, Niloofar Saeedzadeh; Münzenrieder, Niko; Milana, Edoardo (2025). 4(8) 324–332.

  Transforming soft machines into fully autonomous soft robots capable of complex interactions with the environment requires the integration of soft electronics and sensors, enabling feedback control while preserving mechanical compliance. Multistable mechanisms, such as mechanical metamaterials and snapping beams, are great candidates for such systems due to their programmable nonlinear responses. In this work, we introduce the integration of a sensing technology based on 3D-printed soft capacitive sensor in a 3-D-printed multistable metastructure composed of four bistable unit cells—enabling proprioceptive monitoring of state transitions by detecting snap-through events in multistable mechanisms. Under cyclic tensile loading, the metastructure exhibits snapping events at forces up to 7 N, accompanied by capacitance changes from about 0.025 to 0.750 pF. We further demonstrate the integration of the same sensing principle in a 3-D-printed monolithic bistable soft gripper, reliably grasping delicate objects such as popcorns, tomatoes, and strawberries, spanning masses from 0.5 to 16 g. These results confirm that embedded capacitive soft sensors are a viable technology to detect snap-through transitions and to be seamlessly integrated in soft structures, representing a crucial step toward fully compliant, self-aware robotic systems.
• Flexible InGaZnO Thin-Film Transistors With Gelatin Gate Dielectric for Nonvolatile Memory. Konwar, Gargi; Lanthaler, Albert Heinrich; Singh, Ritesh Kumar; Catania, Federica; Münzenrieder, Niko; Cantarella, Giuseppe; Tiwari, Shree Prakash (2025). 4(5) 188–193.

  Recently, the use of natural materials in device fabrication has become a significant trend in advancing eco-friendly and sustainable electronics, to achieve technologies with low carbon footprints and yet reliable functionality. This work demonstrates utilization of gelatin, a natural protein, as a gate dielectric, in combination with indium gallium zinc oxide (InGaZnO) semiconductor, to fabricate top-gated flexible thin-film transistors (TFTs). More specifically, these devices exhibit nonvolatile memory characteristics for 10 V operation upon application of a voltage sweep of ±10 V, with a maximum memory window (MW) of \($\approx 12$\) V and repetition for 100 continuous scans. Moreover, consistent static retention was obtained with a current on-off ratio of \($\gt 10^5$\) for 3 h. The hygroscopic nature of gelatin enabled these devices to demonstrate reliable response as humidity sensor upon exposure to a humidity pulse (in the range between 42% and 90% relative humidity). In addition, TFTs demonstrated functionality during bending condition (down to 7 mm bending radius) with 8 months-long shelf-life.
• Ammonia Dynamics in the Human Body: Insights in Biomedical Sensing Technologies. Nijkoops, Annelot; Ciocca, Manuela; Costa Angeli, Martina Aurora; Pogliaghi, Silvia; Krik, Soufiane; Avancini, Enrico; Münzenrieder, Niko; Lugli, Paolo; Petti, Luisa (2025). 4(7) 2400179.
• Thermal Sensors on Cellulose Based Substrate for Green Thin-Film Electronics. Maqsood, Hafiza Faiqa; Rasheed, Ahmed; Krik, Soufiane; Masoumi, Fahimeh; Cacialli, Franco; Lugli, Paolo; Petti, Luisa; Münzenrieder, Niko; Cantarella, Giuseppe (2025). 1–4.

  Sustainable leveraging of natural resources is imperative to move toward next-generation electronics, balancing functionality, affordability, and sustainability. In this perspective, the use of sustainable materials is an effective way to combine electronics development and low carbon footprint. Here, we successfully introduced thin-film resistance temperature detectors (RTDs) and thin-film thermistor sensors on a triacetyl cellulose (TAC) film derived from sustainable plant-based cellulose. These devices are tested in a temperature range of 25° C to 75° C, demonstrating average sensitivity of \($0.21 \% ^\circ \mathbfC^-1$\) for the RTDs, and \($0.26 \% ^\circ \mathrmC^-1$\) for the thermistors. Device performances are demonstrated while mechanical strain is applied, with reliable functionality down to 8 mm bending radii. Finally, device dissolution in deionized water revealed the transient nature of the thermistor sensor after 10 days. These results demonstrate the potential of a cellulose based substrate and its integration with thin-film devices for the realization of green and yet sustainable electronics.
• Natural Wood Substrates for Flexible Thin-Film Temperature Sensors. Masoumi, Fahimeh; Nijkoops, Annelot; Carrasco-Pena, Alejandro; Van Bezooijen, Aart; Cohen, Nitzan; Maqsood, Hafiza Faiqa; Haller, Michael; Cantarella, Giuseppe; Münzenrieder, Niko (2025). 1–4.

  This study explores nature-based substrates as sustainable alternatives to traditional polymer-based materials for unobtrusive and flexible electronics. It focuses on the fabrication of thin-film temperature sensors directly on thin walnut wood substrates. This natural material combines mechanical flexibility, sustainability, and aesthetics. Metallic resistive temperature detectors (RTDs) and thermistors based on semiconducting Indium Gallium Zinc Oxide (IGZO) were fabricated by sputtering. Despite the high surface roughness of the substrate (\($>40 \mu \mathrmm$\)), both types of sensors exhibit functionality, with sensitivities up to 0.259% ° C−1 and stability over multiple temperature cycles. Furthermore, RTDs were bent to radii as small as 23 mm.
• DigSmart -- Unterstützung beim Baggern durch Laserprojektion. Anteunis, L.; Nüchter, A. (2025). 133(6) 171–180.

  Jedes Jahr entstehen mehrere Millionen Euro an Schaden durch Bagger. Dies liegt unter anderem an den fehlenden Verlaufsplänen auf den Baustellen. Das Projekt „Digitalisierung und Smart Services im Tiefbau“ untersucht, inwiefern die Visualisierung von Leitungen mithilfe eines Laserprojektors zum Einsatz kommen kann. Hierbei kommt ein Livox-Laserscanner zum Einsatz, um die Umgebung in der Projektion zu berücksichtigen. Um die Projektion unverzerrt darstellen zu können, führt der Algorithmus ein Raytracing- Verfahren durch, um die Projektion anzupassen. Dies setzt jedoch die extrinsische Kalibrierung zwischen dem Laserscanner und -projektor voraus. Die Experimente zeigen, dass die hier vorgestellte Methode den Projektor und Laserscanner erfolgreich kalibrieren kann und dass mit einem Root Mean Square Error von weniger als 40 mm eine genaue Projektion möglich ist. Die Projektionen im DigSmart-Projekt dürfen maximal 100 mm abweichen.
• User Simulation in Practice: Lessons Learned from Three Shared Tasks. Gohsen, Marcel; Abbasiantaeb, Zahra; Aliannejadi, Mohammad; Balog, Krisztian; Breuer, Timo; Dalton, Jeffrey; Fröbe, Maik; Kreutz, Christin Katharina; Kruff, Andreas; Lupart, Simon; Mirzakhmedova, Nailia; Scells, Harriscen; Schaer, Philipp; Stein, Benno; Kiesel, Johannes (2025). 59(2)
• Curaduría. Maya, Yuliana (YulianaMaya, ed.) (2025). 269–284.
• Slip Casting as a Machine for Making Textured Ceramic Interfaces. Han, Bo; Lim, Jared; Lim, Kianne; Choo, Adam; Yen, Ching Chiuan; Ang, Genevieve; Zheng, Clement N. Yamashita, V. Evers, K. Yatani, S. X. Ding, B. Lee, M. Chetty, P. O. T. Dugas (eds.) (2025). 442:1–442:18.
• SqueezeMe: Creating Soft Inductive Pressure Sensors with Ferromagnetic Elastomers. Preindl, Thomas; Pointner, Andreas; Kumar, Nimal Jagadeesh; Cohen, Nitzan; Münzenrieder, Niko; Haller, Michael in CHI ’25 (2025). 1–13.
• Mechanical metamaterial sensors: from design to applications. de Souza Oliveira, Hugo; Saeedzadeh Khaanghah, Niloofar; Elli, Giulia; Petti, Luisa; Cantarella, Giuseppe; Milana, Edoardo; Münzenrieder, Niko (2025). 58(13) 133002.
• Evaluación del personal académico y de investigación por amplificación de puntuaciones de acuerdo con su proximidad a objetivos institucionales. Santana Sepúlveda, Julio Sergio (J. González Candia, ed.) (2025). 18(53) 16–47.

  The issue of tension between the individual objectives of academic and research staff and the strategic objectives of the institution in which they work is addressed in this study, to develop a methodology for their appraisal that takes into account both individual objectives, in the context of academic freedom, and the above-mentioned institutional strategic objectives. To this end, a similarity metric is proposed, based on the Manhattan distance, to measure the proximity between individual and institutional objectives, which allows generating an amplification factor for individual scores. The new amplified score can be used to generate work incentives, such as job promotions or financial benefits.
• Advxai in Malware Analysis Framework: Balancing Explainability with Security. White, Darring (D. White, ed.) (2025). 14(1)

  With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes the answer to interpreting the decision-making process that AI malware analysis models use to determine malicious benign samples to gain trust that in a production environment, the system is able to catch malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in many sectors, it is crucial to quickly respond to the attack surface that it creates
• The Rise of "Self-Cleaning" Paint Technology. Akhiltomar (2025). (3) 3.

  It sounds like science fiction, but paint technology has evolved to the point where your house can wash itself. Known as "hydrophilic" or "photocatalytic" coatings, these advanced paints use the UV rays from the sun to break down dirt and organic grime chemically.
• Von der Leitlinie zur Praxis: Nachhaltigkeit an der SUB Göttingen. Schatz, Merle; Dörner, Sophia; Klaproth, Frank; Mimkes, Julika; Stieglitz, Jan; Weidling, Michelle (2025). 12

  Die Niedersächsische Staats- und Universitätsbibliothek Göttingen (SUB Göttingen) setzt sich zum Ziel, die 2015 von den Vereinten Nationen verabschiedeten Globalen Ziele einer nachhaltigen Entwicklung im Rahmen des eigenen Verantwortungsbereichs umzusetzen. Im September 2023 hat sie eine eigene Nachhaltigkeitsleitlinie verabschiedet. Ziel ist es, die SUB Göttingen in all ihren Facetten – von den Geschäftsprozessen im und rund um den Bibliotheksalltag bis hin zur technischen Infrastruktur – nachhaltiger und damit auch zukunftsfähiger zu gestalten. Die Arbeitsgemeinschaft Nachhaltigkeit (AG NH) der SUB Göttingen ist in diesem Zusammenhang als Informations- und Arbeitsgruppe aktiv. Der Bericht schildert am Beispiel des Projektes "Staudenbeet" die Erfahrungen mit der praktischen Umsetzung der Leitlinie und welche Erkenntnisse hierbei gewonnen wurden.
• Plasmonic Su–Schrieffer–Heeger chains with strong coupling amplitudes. Schurr, Benedikt; Hensen, Matthias; Brenneis, Luisa; Kessler, Philipp; Qin, Jin; Lisinetskii, Victor; Thomale, Ronny; Brixner, Tobias; Hecht, Bert (2025). 11(50) eaea3844-.

  Plasmonic many-particle systems with precisely tuned resonances and coupling strengths can exhibit emergent collective properties governed by universal principles. In one-dimensional chains with alternating couplings, known as Su?Schrieffer?Heeger (SSH) systems, this includes the formation of topologically protected mid-gap modes whose intensities localize at the chain?s ends. This subwavelength localization at optical frequencies is crucial for achieving strong coupling of mid-gap modes to two-level systems under ambient conditions, extending topological protection to hybrid light?matter states. Here, we have fabricated SSH chains from plasmonic nanoslit resonators with strong interresonator coupling. The alternating distance between the nanoslit resonators is controlled with subnanometer precision, enabling accurate prediction and experimental observation of topologically protected mid-gap modes via photoemission electron microscopy. Our results open the path toward experimental realizations of two-dimensional photonic metasurfaces exhibiting higher-order topological modes that can be strongly coupled to single emitters and quantum materials at ambient conditions. Strong coupling enables device-relevant spectral separation of broad, topologically protected mid-gap modes from band edges.
• Unify: Uncertainty incorporated Federated Learning for Object Detection. Gao, Shang; Sick, Bernhard; Götz-Hahn, Franz (2025). 330–344.

  Federated Learning (FL) has demonstrated promise for collaborative training on decentralized data while preserving privacy. However, applying FL to object detection remains challenging due to non-IID data distributions and domain shifts that can degrade performance with standard aggregation methods. To address these issues, we propose the Uncertainty Incorporated Federated Learning for Object Detection (Unify) framework, a novel FL framework that leverages Evidential Learning (EL) to estimate both epistemic and aleatoric uncertainties. By integrating these uncertainty estimates into the aggregation process, Unify down-weights unreliable client updates, leading to improved cross-domain generalization and enhanced stability. Built upon a lightweight YOLOX detector, our approach achieves detection performance that closely approaches centralized training while significantly outperforming conventional FedAvg under heterogeneous conditions. Evaluations on the KITTI and nuImages datasets demonstrate that Unify improves mean Average Precision (mAP) and yields uncertainties. The findings highlight the potential of uncertainty-incorporated FL in developing resilient, adaptive, and self-organizing computing systems.
• Altruistic disease signalling in ant colonies. Dawson, Erika H.; Hoenigsberger, Michaela; Kampleitner, Niklas; Grasse, Anna V.; Lindorfer, Lukas; Robb, Jennifer; Beikzadeh, Farnaz; Strahodinsky, Florian; Leitner, Hanna; Rajendran, Harikrishnan; Schmitt, Thomas; Cremer, Sylvia (2025). 16(1) 10511.

  Sick individuals often conceal their disease status to group members, thereby preventing social exclusion or aggression. Here we show by behavioural, chemical, immunological and infection load analyses that sick ant pupae instead actively emit a chemical signal that in itself is sufficient to trigger their own destruction by colony members. In our experiments, this altruistic disease-signalling was performed only by worker but not queen pupae. The lack of signalling by queen pupae did not constitute cheating behaviour, but reflected their superior immune capabilities. Worker pupae suffered from extensive pathogen replication whereas queen pupae were able to restrain their infection. Our data suggest the evolution of a finely-tuned signalling system in which it is not the induction of an individual's immune response, but rather its failure to overcome the infection, that triggers pupal signalling for sacrifice. This demonstrates a balanced interplay between individual and social immunity that efficiently achieves whole-colony health.
• Experimental enhancement of structural heterogeneity in forest landscapes promotes multidimensional hoverfly diversity. Massó Estaje, Clàudia; Rothacher, Julia; Vujić, Ante; Miličić, Marija; Chao, Anne; Mitesser, Oliver; Müller, Jörg; Claßen, Alice; Steffan‐Dewenter, Ingolf (2025). e70252
• Pesticides and habitat loss additively reduce wild bees in crop fields. Knauer, Anina; Adhikari, Subodh; Andersson, Georg K. S.; Andrieu, Emilie; Báldi, Andras; Batáry, Peter; Bosch, Jordi; Bushmann, Sara L.; Cano, Domingo; Carrié, Romain; Danforth, Bryan N.; Drummond, Francis A.; Esquerré, Diane; García, Daniel; Gratton, Claudio; Hambäck, Peter A.; Happe, Anne-Kathrin; Hederström, Veronica; Holzschuh, Andrea; Jeanneret, Philippe; Kaasik, Riina; Kehinde, Temitope; Knapp, Jessica; Kovács-Hostyánszki, Aniko; Kremen, Claire; Leyer, Ilona; Lüscher, Gisela; Mallinger, Rachel; Marja, Riho; Martínez-Núnez, Carlos; Menalled, Fabian D.; M’Gonigle, Leithen K.; Minarro, Marcos; Mupepele, Anne-Christine; Nicholson, Charlie C.; Otieno, Mark; Ouin, Annie; Park, Mia G.; Pereira-Peixoto, Maria-Helena; Pérez, Antonio J.; Potts, Simon G.; Reineke, Annette; Rey, Pedro J.; Ricketts, Taylor H.; Rivers-Moore, Justine; Roberts, Stuart; Roquer-Beni, Laura; Rundlöf, Maj; Samnegard, Ulrika; Samways, Michael J.; Schwarz, Janine M.; Schweiger, Oliver; Smith, Henrik G.; Steffan-Dewenter, Ingolf; Sutter, Louis; Tamburini, Giovanni; Uzman, Deniz; Veromann, Eve; Vialatte, Aude; Viik, Eneli; Brown, Mark J. F.; Klein, Alexandra-Maria; Albrecht, Matthias (2025).

  Pesticide use and habitat loss are major anthropogenic drivers of bee decline, raising global concerns about impaired crop pollination. However, the relative importance of these stressors and their combined impact on bee assemblages comprising species with different traits, such as body size or nesting strategy, remains unknown. Here we addressed these key knowledge gaps in a global quantitative synthesis analysing bee assemblage data from 681 crop fields across three continents. We found that both local pesticide hazards and decreasing proportions of semi-natural habitats in surrounding landscapes negatively affected wild bee abundance and species richness in crop fields, while pesticides additionally reduced functional and phylogenetic diversity. Semi-natural habitat availability did not buffer against these negative pesticide effects, nor did we identify any specific traits rending bees more vulnerable to one of the two drivers. Our findings highlight the pressing need to reduce non-target effects of pesticide use and emphasize that conservation and restoration of semi-natural habitats successfully promote wild bees, but are insufficient strategies to mitigate pesticide-driven losses of wild bee pollinators from crop fields.
• Content Methodology - Vietnam Backpacker Hostel Travel. VBHTravel VBHTravel (ed.) (2025). (Vol. 364) 1–3.

  This article explains how content on the Vietnam Backpackers Travel (VBH) website is created, reviewed, and maintained. Our aim is simple: everything you read should feel trustworthy, practical, and grounded in real travel in Vietnam.
• The Benefits of the EU Single Market: Evidence from the Gravity Model. Rybacki, Jakub; Sułkowski, Dawid (2025). 12(59) 284–294.

  Empirical economic studies based on gravity models have generally portrayed European integration in a highly positive light. However, the success of Eurosceptic parties in the German regional elections and the Dutch legislative elections highlights growing resistance to further integration. This phenomenon may be explained by the fact that the benefits of integration are often not immediately visible; they tend to manifest indirectly through increased trade volumes between member states. Nevertheless, these political outcomes also cast doubt on the reliability of modelling results, Therefore, our goal is to quantify the impact of EU membership on sectoral trade flows using a gravity model of foreign trade for the period of 2006–2017. To achieve this, we conducted over 850 regressions. Our analysis indicates that exports between EU member states are, on average, 20%–30% higher throughout the business cycle compared to similar non-EU countries. Additionally, we assessed the distribution of membership benefits across individual member states. Our findings reveal that Hungary, Slovakia, and Czechia experienced the most significant increases in trade with other EU countries.
• The effective Chen ranks conjecture. Aprodu, Marian; Farkas, Gavril; Raicu, Claudiu; Suciu, Alexander I. (2025).
• Best Digital Marketing Course Online in 2026 – A Practical Guide to Top Online Marketing Courses. Group, Minnions (M. Group, ed.) (2025).
• Hyperactivity and Differential Gene Expression in lbx1a(−/−) Zebrafish Larvae. Drepper, Carsten; Kettenstock, Laura; Stöckl, Simon; Elsenbach, Anna; Lechermeier, Carina; Lee, Wonhyeok; Kneitz, Susanne; Lesch, Klaus-Peter; Romanos, Marcel; Lillesaar, Christina (2025). 14(24) 1980.
• Auditing Bias: Detecting and Quantifying Bias in Search Query Suggestions for US Politicians. Haak, Fabian; Schaer, Philipp (2025).
• Outsourcing Domestic Work in the Crisis of Social Reproduction: Platform‐Mediated Cleaning and the Role of Clients. Gerold, Stefanie; Gruszka, Katarzyna; Sardadvar, Karin; Theine, Hendrik; Pillinger, Anna (2025).

  Amid the crisis of social reproduction, outsourcing domestic work has become increasingly appealing, with labour platforms offering new avenues to do so. This article explores the largely overlooked perspective of clients using platform-mediated cleaning services, focusing on Helpling in Germany. Drawing on a multi-method study, we examine clients’ motivations for hiring cleaners through platforms and their perceptions of working conditions. We also analyse interactions between clients and cleaners, and how these are shaped by the platform. Our findings suggest that platforms like Helpling are attractive because of their convenience and their promise of an allegedly legal alternative to informal arrangements. While some clients express concerns over precarious working conditions, others justify them through market logic or assumptions about cleaners’ backgrounds. The platform infrastructure helps mediate trust, yet personal relations between clients and cleaners limit the platform's strategy of delegating management and control mechanisms to clients.
• Priority and Stackelberg Game-Based Incentive Task Allocation for Device-Assisted MEC Networks. Li, Yang; Zhang, Xing; Lei, Bo; Qu, Zheyan; Wang, Wenbo (2024). 3425–3430.
• PaperTouch: Tangible Interfaces through Paper Craft and Touchscreen Devices. Ye, Qian; Yong, Zhen Zhou; Han, Bo; Yen, Ching Chiuan; Zheng, Clement F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. O. T. Dugas, I. Shklovski (eds.) (2024). 330:1–330:15.
• Reconfigurable Interfaces by Shape Change and Embedded Magnets. Deshpande, Himani; Han, Bo; Moon, Kongpyung (Justin); Bianchi, Andrea; Zheng, Clement; Kim, Jeeeun F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. O. T. Dugas, I. Shklovski (eds.) (2024). 325:1–325:12.
• Slicing for AI: An Online Learning Framework for Network Slicing Supporting AI Services. Helmy, Menna; Abdellatif, Alaa Awad; Mhaisen, Naram; Mohamed, Amr; Erbad, Aiman (2024).
• ReBase: a framework for acquiring and managing body tracking data. Trotta, Tiago; Rodrigues, Luis; Brega, José Remo Ferreira; de Paiva Guimarães, Marcelo; Rocha, Leonardo; Brandão, Alexandre Fonseca; Dias, Diego R. C. (2024). 152–160.
• LightCross: Sharding with Lightweight Cross-Shard Execution for Smart Contracts. Qi, Xiaodong; Li, Yi (2024). 1681–1690.
• E-Acrylic: Electronic-Acrylic Composites for Making Interactive Artifacts. Han, Bo; Liu, Xin; Yen, Ching Chiuan; Zheng, Clement F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas, M. L. Wilson, P. O. T. Dugas, I. Shklovski (eds.) (2024). 339:1–339:15.
• DMCC 2025 Guide for Company Formation: Licensing, Cost, Banking Explained & Tax Benefits. "wings9 management consultancies" (sachin, ed.) (2024). https://wings9.ae/dmcc–global.
• Just Look at Them! Encouraging Self-Reflection on Teacher Gaze Behavior through Data Visualizations in Virtual Reality. Yoo, Yejoon; Segal, Jonathan Isaac; Hayes, Aleshia T.; Won, Andrea Stevenson F. ’Floyd’ Mueller, P. Kyburz, J. R. Williamson, C. Sas (eds.) (2024). 209:1–209:9.
• The impact of habitat loss and population fragmentation on genomic erosion. Pinto, Alessandro V.; Hansson, Bengt; Patramanis, Ioannis; Morales, Hernán E.; van Oosterhout, Cock (2024). 25(1) 49–57.

  Habitat loss and population fragmentation pose severe threats to biodiversity and the survival of many species. Population isolation and the decline in effective population size lead to increased genetic drift and inbreeding. In turn, this reduces neutral diversity, and it also affects the genetic load of deleterious mutations. Here, we analyse the effect of such genomic erosion by designing a spatially explicit, individual based model in SLiM, simulating the effects of the recorded habitat loss in Mauritius over the past ~ 250 years. We show that the loss of neutral diversity (genome-wide heterozygosity) was barely noticeable during the first 100 years of habitat loss. Changes to the genetic load took even more time to register, and they only became apparent circa 200 years after the start of habitat decline. Although a considerable number of deleterious mutations were lost by drift, others increased in frequency. The masked load was thus converted into a realised load, which compromised individual fitness and population viability after much of the native habitat had been lost. Importantly, genomic erosion continued after the metapopulation had stabilised at low numbers. Our study shows that historic habitat loss can pose a sustained threat to populations also in future generations, even without further habitat loss. The UN’s Decade on Ecosystem Restoration needs to lead to transformative change to save species from future extinction, and this requires the urgent restoration of natural habitats.
• DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations. Dai, Wei; Su, Yingmin; Pan, Xiaofeng; Wang, Yufeng; Zhu, Zhenyu; Xu, Nan; Mao, Chengjun; Cao, Bo I. Frommholz, F. Hopfgartner, M. Lee, M. Oakes, M. Lalmas, M. Zhang, R. L. T. Santos (eds.) (2023). 3838–3842.
• MaskCircuit: 3D Circuits with Acrylic Sheets and Laser Cutting. Han, Bo; Liu, Xin; Yen, Ching Chiuan; Zheng, Clement A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters (eds.) (2023). 201:1–201:7.
• Imputing single-cell RNA-seq data by graph autoencoder with multi-kernel. Jiang, Kang; Liao, Bo; Papagerakis, Petros; Wu, Fang-Xiang X. Jiang, H. Wang, R. Alhajj, X. Hu, F. Engel, M. Mahmud, N. Pisanti, X. Cui, H. Song (eds.) (2023). 228–232.
• Influence of the Self-Interference Channel Model on the Performance of a Full-Duplex MIMO System. Chen, Xuan; Savaux, Vincent; Crussière, Matthieu; Savelli, Patrick; Yao, Koffi Clément (2023). 727–733.
• Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning. Chen, Chen; He, Bo; Yuan, Jing; Hou, Chunyan; Yuan, Xiaojie I. Frommholz, F. Hopfgartner, M. Lee, M. Oakes, M. Lalmas, M. Zhang, R. L. T. Santos (eds.) (2023). 286–295.
• Additive Technologies and Their Applications in Furniture Design and Manufacturing. Jarža, Lana (2023).
• Multi-Classification Data Stream Algorithm Based on One-Vs-Rest Strategy. Luo, Xincheng; Li, Daiwei; Zhang, Haiqing; Xu, Lang; Cai, Bo; Deng, Junyu (2023). 66–72.
• New Insights into Antiviral Drug Development. Wilson, Anna (A. Wilson, ed.) (2023). 388(14) 1371–1380.
• Crafting Interactive Circuits on Glazed Ceramic Ware. Zheng, Clement; Han, Bo; Liu, Xin; Devendorf, Laura; Tan, Hans; Yen, Ching Chiuan A. Schmidt, K. Väänänen, T. Goyal, P. O. Kristensson, A. Peters, S. Mueller, J. R. Williamson, M. L. Wilson (eds.) (2023). 474:1–474:18.
• Tribo Tribe: Triboelectric Interaction Sensing with 3D Physical Interfaces. Liu, Xin; Han, Bo; Zheng, Clement; Yen, Ching Chiuan S. D. J. Barbosa, C. Lampe, C. Appert, D. A. Shamma (eds.) (2022). 272:1–272:6.
• A Privacy Preserving Energy Trading Platform Based on Smart Contract. Wang, Jingjing; Long, Fei; Jin, Bo; Dai, Dangdang; Liu, Fen (2022). 117:1–117:7.
• Social Media Text Summarisation Techniques and Approaches: A Literature Review. Papagiannopoulou, Afrodite; Angeli, Chrissanthi (2022). 114:1–114:6.
• Peeler: Learning to Effectively Predict Flakiness without Running Tests. Qin, Yihao; Wang, Shangwen; Liu, Kui; Lin, Bo; Wu, Hongjun; Li, Li; Mao, Xiaoguang; Bissyandé, Tegawendé F. (2022). 257–268.
• New AI and Health Networks. Green, Tom (T. Green, ed.) (2022). 34–56.
• From Industry 4.0 towards Industry 5.0. Möller, Dietmar P. F.; Vakilzadian, Hamid; Haas, Roland E. (2022). 61–68.
• Die Unschuldigen in Nürnberg Szmaglewska, Seweryna (2022). Schöffling & Co., Frankfurt am Main.

  In einem sturmgebeutelten Militärflugzeug reist Seweryna Szmaglewska aus den Trümmern Warschaus nach Nürnberg, wo die Überlebende des Frauenlagers AuschwitzBirkenau am 27. Februar 1946 vor dem Internationalen Militärgerichtshof gegen die nationalsozialistischen Kriegsverbrecher aussagen wird. Sie ist eine von nur zwei Augenzeugen aus Polen, die vor dem Tribunal über das Erlittene sprechen dürfen. Im kriegszerstörten, vorfrühlingshaften Nürnberg fragt sich die junge Frau besorgt, wie sie den Albtraum der KZ-Realität in Worte fassen und der enormen Verantwortung gegenüber ihrem zerstörten Heimatland gerecht werden soll. Untergebracht im Grand Hotel, wo sich die amerikanischen Offiziere – und mit ihnen die Zeugen, Verteidiger und Korrespondenten aus aller Welt – abends amüsieren, wird sie von dunklen Erinnerungen verfolgt: Sie misstraut der deutschen Bevölkerung, staunt angesichts der Ungerührtheit der Angeklagten, und bei Görings theatralischem Auftritt vor dem Gericht schaudert ihr. Wird es für ihre Generation Gerechtigkeit und eine Zukunft geben? In »Die Unschuldigen in Nürnberg«, halb Erlebnisbericht, halb Roman, schildert die später zu literarischem Ruhm gelangte Schriftstellerin Seweryna Szmaglewska aus erster Hand eindringlich, präzise und in bisher ungekanntem Detail einen der wichtigsten Prozesse der Nachkriegszeit.
• TorchRec: a PyTorch Domain Library for Recommendation Systems. Ivchenko, Dmytro; Van Der Staay, Dennis; Taylor, Colin; Liu, Xing; Feng, Will; Kindi, Rahul; Sudarshan, Anirudh; Sefati, Shahin in RecSys ’22 (2022). 482–483.

  Recommendation Systems (RecSys) comprise a large footprint of production-deployed AI today. The neural network-based recommender systems differ from deep learning models in other domains in using high-cardinality categorical sparse features that require large embedding tables to be trained. In this talk we introduce TorchRec, a PyTorch domain library for Recommendation Systems. This new library provides common sparsity and parallelism primitives, enabling researchers to build state-of-the-art personalization models and deploy them in production. In this talk we cover the building blocks of the TorchRec library including modeling primitives such as embedding bags and jagged tensors, optimized recommender system kernels powered by FBGEMM, a flexible sharder that supports a veriety of strategies for partitioning embedding tables, a planner that automatically generates optimized and performant sharding plans, support for GPU inference and common modeling modules for building recommender system models. TorchRec library is currently used to train large-scale recommender models at Meta. We will present how TorchRec helped Meta’s recommender system platform to transition from CPU asynchronous training to accelerator-based full-sync training.
• Alzheimer’s Disease Diagnosis and Treatment. White, Sarah (S. White, ed.) (2022). 105(2) 89–102.
• Engineered SiC materials for power technologies. Schwarzenbach, Walter; Rouchier, S.; Berre, G.; Boulet, R.; Ledoux, O.; Cela, Enrica; Drouin, Alexis; Chapelle, A.; Monnoye, S.; Biard, H.; Alassaad, K.; Viravaux, L.; Mohamed, N. Ben; Radisson, D.; Picun, G.; Lavaitte, G.; Bouville-Lallart, A.; Roi, J.; Widiez, J.; Abadie, K.; Rolland, E.; Fournel, Frank; Gélineau, G.; Mazen, F.; Moulin, A.; Moulin, C.; Delprat, D.; Daval, N.; Odoul, S.; Sandri, P.; Maleville, Christophe (2022). 55–56.
• Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems. Lin, Bo; Gao, Feifei; Zhang, Shun; Zhou, Ting; Alkhateeb, Ahmed (2021). 962–966.
• A Data Driven Method for Computing Quasipotentials. Lin, Bo; Li, Qianxiao; Ren, Weiqing in Proceedings of Machine Learning Research, J. Bruna, J. S. Hesthaven, L. Zdeborová (eds.) (2021). (Vol. 145) 652–670.
• Encrypted DNS -> Privacy? A Traffic Analysis Perspective. Siby, Sandra Deepthy; Juarez, Marc; Díaz, Claudia; Vallina-Rodriguez, Narseo; Troncoso, Carmela (2020).
• DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics. Paik, Hyojung; Yoo, Sunyong; Nam, Hojung; Stevenson, Mark; No, Albert M. d’Aquin, S. Dietze, C. Hauff, E. Curry, P. Cudré-Mauroux (eds.) (2020). 3537–3538.
• Human Body AR: A Mobile Application for Teaching Anatomy for Elementary Students Using Augmented Reality. Sotelo-Castro, Briseida; Becerra, Diego Alonso Iquira in Communications in Computer and Information Science, V. A. Delgado, P. H. Ruiz, K. O. Villalba-Condori (eds.) (2020). (Vol. 1334) 146–154.
• The Influence of Wood and Basalt Fibres on Mechanical, Thermal and Hydrothermal Properties of PLA Composites. Stanisław Kuciel, Karolina Mazur (2020).
• Die Frauen von Birkenau Szmaglewska, Seweryna (2020). Schöffling & Co., Frankfurt am Main.

  In »Die Frauen von Birkenau« schildert Seweryna Szmaglewska ihre verstörenden Erlebnisse als politische Gefangene im Frauenlager von Auschwitz-Birkenau. Noch 1945, fast sofort nach ihrer Flucht im Januar, schrieb sie fieberhaft ihre Erinnerungen nieder, die ein wichtiges Zeugnis bei den Nürnberger Prozessen wurden. In einer ganz besonderen Erzählperspektive, ohne »ich« zu sagen, fängt sie darin nicht nur die Alltagswelt des Lagers ein, sondern auch berührende Einzelschicksale von Frauen aus ganz Europa. Da ist die Schauspielerin aus Wilna, die auch in der Baracke Texte deklamiert, da ist das Mädchen aus Thessaloniki mit seinen traurigen Liedern und da sind die Musikerinnen des Frauenorchesters. Wie mit einem Kameraauge zeichnet Seweryna Szmaglewska die desolate Verfassung der Gefangenen, die harte Arbeit und die Grausamkeiten der SS auf, aber sie beschwört auch den geistigen Austausch und den kulturellen Reichtum im Lager, mit dem die Frauen sich gegenseitig ermutigen und so ihre Würde zu wahren wissen. »Die Frauen von Birkenau« ist ein erschütterndes Buch und ein eindringliches Plädoyer für Menschlichkeit.
• Developing a Clustering Structure with Consideration of Cross-Domain Text Classification based on Deep Sparse Auto-encoder. Guo, Yufan; Fei, Rong; Zhang, Kuan; Tang, Yu; Hu, Bo T. Park, Y.-R. Cho, X. Hu, I. Yoo, H. G. Woo, J. Wang, J. C. Facelli, S. Nam, M. Kang (eds.) (2020). 2477–2483.
• Vaccines in Preventing Infectious Diseases. Harris, Linda (L. Harris, ed.) (2020). 40(6) 1207–1215.
• Research into Development of Auspicious Cultural and Creative Products About Bird-and-Flower Paintings as Decorations for Spring Festival in Guangzhou. Li, Ouyang; Ling, Jie in Lecture Notes in Computer Science, P.-L. P. Rau (ed.) (2020). (Vol. 12193) 536–547.
• No-Reference Image Quality Assessment via Multi-order Perception Similarity. Zhou, Ziheng; Lu, Wen; Yang, Jiachen; Han, Shishuai in Lecture Notes in Computer Science, Z. Lin, L. Wang, J. Yang, G. Shi, T. Tan, N. Zheng, X. Chen, Y. Zhang (eds.) (2019). (Vol. 11858) 607–619.
• Health: A Longitudinal Study. Brown, Alice (A. Brown, ed.) (2019). 42(7) 1285–1292.
• Deep Learning Recommendation Model for Personalization and Recommendation Systems. Naumov, Maxim; Mudigere, Dheevatsa; Shi, Hao-Jun Michael; Huang, Jianyu; Sundaraman, Narayanan; Park, Jongsoo; Wang, Xiaodong; Gupta, Udit; Wu, Carole-Jean; Azzolini, Alisson G.; Dzhulgakov, Dmytro; Mallevich, Andrey; Cherniavskii, Ilia; Lu, Yinghai; Krishnamoorthi, Raghuraman; Yu, Ansha; Kondratenko, Volodymyr; Pereira, Stephanie; Chen, Xianjie; Chen, Wenlin; Rao, Vijay; Jia, Bill; Xiong, Liang; Smelyanskiy, Misha (2019). abs/1906.00091
• Case Study Analysis for Development Strategies of Construction 3D Printing. Meng, Xiangcheng; Zhang, Xueqing in Advances in Intelligent Systems and Computing, M. D. Nicolantonio, E. Rossi, T. Alexander (eds.) (2019). (Vol. 975) 439–450.
• Improving the Performance and Endurance of Encrypted Non-Volatile Main Memory through Deduplicating Writes. Zuo, Pengfei; Hua, Yu; Zhao, Ming; Zhou, Wen; Guo, Yuncheng (2018). 442–454.
• How to Address Master Data Complexity in in-formation Systems Development - a Federative Approach. Dahlberg, Tomi; Lagstedt, Altti; Nokkala, Tiina P. M. Bednar, U. Frank, K. Kautz (eds.) (2018). 114.
• Thermal expansion coefficient determination of polylactic acid using digital image correlation. Komissartschik, Edward A. in Lecture Notes in Computer Science, J. Demetrovics, B. Thalheim (eds.) (2018). (Vol. 364) 269–284.
• Comparative Research for Social Recommendations on VK. Tukhvatov, Rustam; Lee, Jooyoung in Lecture Notes in Computer Science, S. Song, M. Renz, Y.-S. Moon (eds.) (2017). (Vol. 10612) 257–266.
• Adam: A Method for Stochastic Optimization Kingma, Diederik P.; Ba, Jimmy (2017).
• An Efficient Parallel Scheduling Scheme on Multi-partition PCM Architecture. Zhou, Wen; Feng, Dan; Hua, Yu; Liu, Jingning; Huang, Fangting; Chen, Yu (2016). 344–349.
• Position-based ICI elimination with compressed channel estimation for SIMO-OFDM high speed train systems. Ren, Xiang; Chen, Wen; Ren, Diandian; Gong, Bo; Qin, Qibo; Gui, Lin (2015). 21–25.
• Structured distributed sparse channel estimation for high mobility OFDM systems. Qin, Qibo; Gong, Bo; Gui, Lin; Ren, Xiang; Chen, Wen (2015). 56–60.
• Leveraging data deduplication to improve the performance of primary storage systems in the cloud. Mao, Bo; Jiang, Hong; Wu, Suzhen; Tian, Lei G. M. Lohman (ed.) (2013). 24:1–24:2.
• SAR: SSD Assisted Restore Optimization for Deduplication-Based Storage Systems in the Cloud. Mao, Bo; Jiang, Hong; Wu, Suzhen; Fu, Yinjin; Tian, Lei (2012). 328–337.
• A New Algorithm of Searching Interested Lesion Regions. Li, Xungen; Zhou, Lei; Huang, LiangMen; Li, Haitao (2009). 1–4.
• Restructuring and Dependencies in Databases. Komissartschik, Edward A. in Lecture Notes in Computer Science, J. Demetrovics, B. Thalheim (eds.) (1989). (Vol. 364) 269–284.