bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Value of Individual Behavioral Risk Factors for New Mood‐Related Psychiatric Disorder After Diagnosis of Cancer
Authors: Villalona Seiichi , Perez Carlos Chavez , Wileyto E. Paul , Takvorian Samuel , Gabriel Peter , Doucette Abigail , Blumenthal Daniel , Schnoll Robert 
Published: December 2024

ABSTRACTObjectiveThe diagnosis of a mood‐related psychiatric disorder (MRPD) among patients with cancer has been associated with decreased quality of life and lower cancer survival. This study aimed to understand the risk of a new MRPD after cancer diagnosis by individual risk behaviors, with a specific focus on tobacco use and the presence of a human papillomavirus (HPV)‐associated cancer.MethodsSingle‐center retrospective cohort study of 11,712 patients diagnosed with cancer between 2009 and 2020. We identified predictors of a new MRPD after cancer diagnosis using a time‐to‐event analysis and Cox proportional hazards model including demographics, disease characteristics, and tobacco use and HPV‐associated tumors.ResultsUnivariate analyses revealed lower hazard ratios (HRs) of a new MRPD among individuals that identified as Asian/Pacific Islanders and among the older age groups (> 51 years). Univariate analyses additionally demonstrated higher HRs of MRPD among females; sexual minorities; former and current smokers; individuals with HPV‐associated cancers; and individuals diagnosed at later stages. These relationships were observed in the multivariate model when adjusting for covariates. Shorter time‐to‐MRPD was observed when stratifying by individual behavioral risk factors, with active smokers and individuals with an HPV‐associated cancer being at the highest risk.ConclusionsIndividual behavioral risk factors increase risk of new MRPD after being diagnosed with cancer. These findings build on past studies by linking tobacco use and HPV‐associated cancers with MRPD risk in oncology and can be used to identify patients at risk of developing new MRPDs post‐cancer diagnosis and engaging them in treatment.
Activity‐Based Proteome Profiling of Serum Serine Hydrolases: Application in Pediatric Abusive Head Trauma
Authors: Maret Estelle , Wiskott Kim , Shipley Tobias , Gilardi Federica , Augsburger Marc , Thomas Aurelien , Fracasso Tony , Sajic Tatjana 
Published: December 2024

ABSTRACTPurposeTraumatic brain injury (TBI), including pediatric abusive head trauma (AHT), is the leading cause of death and disability in children and young adults worldwide. The current understanding of trauma‐induced molecular changes in the brain of human subjects with intracranial hemorrhage (ICH) remains inadequate and requires further investigation to improve the outcome and management of TBI in the clinic. Calcium‐mediated damage at the site of brain injury has been shown to activate several catalytic enzymes.Experimental DesignSerine hydrolases (SHs) are major catalytic enzymes involved in the biochemical pathways of blood coagulation, systemic inflammation, and neuronal signaling. Here, we investigated activity‐based protein profiling (ABPP) coupled to liquid chromatography‐mass spectrometry (LC‐MS) by measuring the activity status of SH enzymes in the serum of infants with severe ICH as a consequence of AHT or atraumatic infants who died of sudden infant death syndrome (SIDS).ResultsOur proof‐of‐principle study revealed significantly reduced physiological activity of dozens of metabolic SHs in the serum of infants with severe AHT compared to the SIDS group, with some of the enzymes being related to neurodevelopment and basic brain metabolism.Conclusions and Clinical RelevanceTo our knowledge, this is the first study to investigate the ABPP of the SHs enzyme family to detect changes in their physiological activity in blood serum in severe TBI. We used antemortem (AM) serum from infants under the age of 2 years who were victims of AHT with a severe form of ICH. The analytical approach used in the proof‐of‐principle study shows reduced activities of serum serine lipases in AHT cases and could be further investigated in mild forms of AHT, which currently show 30% of misdiagnosed cases in clinics.
An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis
Authors: Li Zelin , Huang Zhaoke , Cao Jianfeng , Guan Guoye , Zhao Zhongying , Yan Hong 
Published: December 2024

AbstractEmbryogenesis is the most basic process in developmental biology. Effectively and simply quantifying cell shape is challenging for the complex and dynamic 3D embryonic cells. Traditional descriptors such as volume, surface area, and mean curvature often fall short, providing only a global view and lacking in local detail and reconstruction capability. Addressing this, we introduce an effective integrated method, 3D Cell Shape Quantification (3DCSQ), for transforming digitized 3D cell shapes into analytical feature vectors, named eigengrid (proposed grid descriptor like eigen value), eigenharmonic, and eigenspectrum. We uniquely combine spherical grids, spherical harmonics, and principal component analysis for cell shape quantification. We demonstrate 3DCSQ’s effectiveness in recognizing cellular morphological phenotypes and clustering cells. Applied to Caenorhabditis elegans embryos of 29 living embryos from 4‐ to 350‐cell stages, 3DCSQ identifies and quantifies biologically reproducible cellular patterns including distinct skin cell deformations. We also provide automatically cell shape lineaging analysis program. This method not only systematizes cell shape description and evaluation but also monitors cell differentiation through shape changes, presenting an advancement in biological imaging and analysis.
Cooperative Robust Output Regulation for Networks of Hyperbolic Systems With Unknown Signal Models
Authors: Enderes Tarik , Deutscher Joachim 
Published: December 2024

ABSTRACTThis Paper considers the cooperative robust output regulation problem for networks of heterodirectional hyperbolic systems, where the leader and disturbance dynamics are unknown to the followers. For this, a diffusively driven internal model is used, whose parameters are updated using an adaptive cooperative observer. The latter only communicates the coefficients of the characteristic polynomials related to the signal models. Hence, a minimal communication load is ensured, as, in addition, only the control inputs of the regulator have to be exchanged through the network. The adaptive internal model also ensures cooperative output regulation in the presence of model uncertainties, that do not destabilize the closed‐loop system. A systematic backstepping approach is presented for stabilizing the uncertain closed‐loop system. For this, solvability conditions are derived in terms of the agents transfer behaviour and the network topology. The presented adaptive regulator is validated in simulations for a network of three uncertain hyperbolic agents.
Hierarchically Porous Microgels with Interior Spiral Canals for High‐Efficiency Delivery of Stem Cells in Wound Healing
Authors: Zhan Zhen , Wang Yuting , Xie Hanhan , Yang Ming , Ruan Muyang , Liu Xuefei , Liu Jialing , Liu Zeyang , Wen Feiqiu , Hong Xin , Hu Chengzhi 
Published: December 2024

AbstractChronic wound poses a serious risk to diabetic patients, primarily due to damaged skin microvasculature and prolonged inflammation at the wound site. Mesenchymal stem cell (MSC) therapy utilizing microgels as a cell delivery system has shown promise in promoting wound healing by enhancing cell viability and the secretion of bioactive factors. Retaining sufficient MSCs at injury sites is crucial for optimal therapeutic outcomes. However, inadequate hierarchical structure and limited use of the microgel's interior space significantly reduce cell proliferation and infiltration efficiency, thereby compromising the therapeutic effect. To address this, a microfluidic approach is developed for fabricating porous hierarchical interconnected microgels with interior spiral canals (PHIGels) by employing a fluidic “viscous instability” effect and gas formation reaction during the microfluidic synthesis. These MSC‐laden PHIGel scaffolds facilitate rapid proliferation and infiltration into the interior spiral canals through a hierarchical pore network, significantly increasing the number of viable cells that can be carried by the microgels. It is proved that these microgel‐based deliveries of MSCs promote re‐epithelialization, collagen synthesis, angiogenesis, and reduction in inflammation, thus enhancing cutaneous wound repair in a rat model of type I diabetes. The microporosity and hierarchical design of these microgels offer novel routes for tissue regeneration and repair.
Phase Stability of High Entropy (Mg,Ni,Co,Cu,Zn)O from Temperature‐Resolved Synchrotron Diffraction: Tetragonal Distortion and Guggenite Phase
Authors: Coduri Mauro , Fracchia Martina , Checchia Stefano , Manzoli Maela , Dejoie Catherine , Ghigna Paolo , Anselmi‐Tamburini Umberto 
Published: December 2024

AbstractThe temperature‐resolved structure evolution of quinary and quaternary equimolar oxides containing Mg, Ni, Zn, Co, and Cu is investigated by in situ synchrotron diffraction. Important structural modifications occur already at mild temperatures and depend on the elements involved. All quaternary compounds with χ(Cu) = 0.25 within 250–500 °C show a tetragonal phase. The fraction of Cu dictates the degree of the tetragonal distortion: for χ(Cu) = 0.20 only local distortions are observed, which do not occur in the absence of Cu. Further heating restores the original cubic phase, followed by the segregation of other phases, which depend on the elements available. In the presence of both Cu and Mg, the segregation of guggenite is observed, a phase with a cation connectivity similar to the cubic high entropy oxide, but with a suitable coordination environment for Cu atoms by allowing strong elongation of octahedra. Guggenite acts as a buffer layer facilitating the gradual diffusion of Cu2+ from the cubic high entropy oxide to tenorite. To conclude, it is demonstrated for the first time that the demixing of the prototypal high entropy oxide does not involve just tenorite or binary oxides, it is rather mediated by the formation of guggenite.
Multifunctional Optimization of MXene for Enhanced Comprehensive Performance of Crystal Silicon‐MXene Back‐Heterojunction Solar Cells
Authors: Liu Xiaoyang , Tong Hongbo , Li Yali , Li Wenxuan , Wan Guodong , Liu Qiming , Fu Yujun , He Deyan , Li Zhenguo , Li Junshuai 
Published: December 2024

AbstractEnhancing the cost‐performance ratio is a fundamental objective for the advancement of the photovoltaic sector. In this context, the development of innovative solar cells that offer a straightforward device configuration but high performance is arguably the most crucial element. Herein, an undoped back‐heterojunction crystalline silicon (c‐Si) solar cell is endeavored to be crafted by simply drop‐casting a Ti3C2Tx MXene ethanol colloidal solution onto the backside of an n‐type c‐Si (n‐Si) wafer. Leveraging the good electrical property and stability, as well as the adjustable work function of MXene treated by europium trifluoromethanesulfonate (Eu(OTF)3), the elementary Ag/ZnO/n‐Si/MXene/Ag solar cell delivers an impressive power conversion efficiency (PCE) of 12.5%. Moreover, the deposition of a SiO2 passivation layer through a simple self‐developed electrochemical method increases the PCE further to 13.5% by ameliorating the interfacial contact between MXene and n‐Si. Moreover, this unencapsulated solar cell exhibits improved stability, compared to the control device without Eu(OTF)3 treatment and SiO2 passivation.
Analysis of Model Specific Features for the Development of a Non-Contact Reference Point System on a Flexible Gripper
Authors: Sattler Julia-Christina , Todtermuschke Marcel , Voigt Alexander , Ihlenfeldt Steffen 
Published: December 2024

AbstractThe increasing diversity of models and variants in the automotive industry is leading to new challenges in the flexibilization of the body shop production process, especially the gripper systems. One way of making the component handling process more flexible by using type-variable grippers is to replace the mechanical reference point pins with virtual sensor technology, which ensures positionally and repeatedly accurate handling per component.One major challenge in using sensory technology for type-variable components is determining the necessary measuring range, which depends on the varying position and size of the reference points per model. In order to design a sustainable solution, the definition of a measurement range for both current and future model types is essential as well.According to the current state of the art, no optimal sensor parameters are known for the use case described. Additionally there are no existing studies that provide a guideline for the recommended position of reference points depending on the sensor technology used.This paper presents the approach of investigating characteristics of various reference points with regard to their position and geometry in order to define a measurement range for the usage of sensor technology. To optimize the determined measuring ranges, various scenarios of component alignment are examined and their influence on the sensor parameters identified. Here the example of interior door parts of different vehicle segments is applied as a use case.In the result, a system framework for positioning reference points is defined based on the investigated use case and a recommendation is made for the parameters of the sensor technology to be used. Furthermore the systematic alignment of components leads to a reduction of sensor parameters. These results can be used for positioning reference points in future models.
Framework for Modeling and Evaluating Information Flows in Flexible Manufacturing Systems
Authors: Welzel Kira , Wilde Anna-Sophia , Bulut Yasin , Juraschek Max , Herrmann Christoph 
Published: December 2024

AbstractIn the manufacturing industry, flexible manufacturing systems (FMS) are gaining importance in meeting the demand for product customization while maintaining high manufacturing efficiency. The digitization of physical manufacturing additionally expands the relevance of industrial communication networks, resulting in complex interactions of material, energy and information flows that pose challenges for the manufacturing system design. Existing decision support frameworks for the design of FMS mainly incorporate the evaluation of the material flow. A holistic view of FMS requires the consideration of the interdependencies of the material, energy and information flow. Particularly, the performance of the material flow of a manufacturing system increasingly depends on the information flow of the connected communication network. Against this background, the paper presents a simulation-based framework that enables the integrated quantitative evaluation of material, energy and information flows in FMS as decision support in manufacturing system design. The framework contains a modular reference model of a generic FMS and its communication network to reduce modeling efforts. It further provides a procedure and an evaluation model that enable a multi-criteria comparison of different FMS configurations. The functionality and benefits of the developed framework are examined with the help of an exemplary case study involving an FMS for producing and recycling polymer parts.
3d-Shaped High-Strength Parts from Partially Delignified and Densified Wood—Introduction of the Project HolzF3
Authors: Grosse Thomas , Müller Ulrich , Jakob Matthias , Feist Florian , Luxner Mathias H. , Knoebl Wolfgang 
Published: December 2024

AbstractThis study explores the potential of wood-based materials in sustainable lightweight automotive applications. The research focuses on overcoming the challenge of balancing complex three-dimensional design with component stiffness and strength in crash-relevant vehicle structures. The study investigates a novel approach involving partial delignification and subsequent densification of wood, previously shown to significantly enhance mechanical properties in solid wood. The HolzF3 project applies this technique to chipboard materials (strands) and small-diameter birch and beech wood, which are typically used for energy production only. By utilizing smaller semi-finished products like strands, complex three-dimensional component shapes become feasible, with densification compensating for potential loss in mechanical performance. Initial results demonstrate the effectiveness of a two-step densification process in producing high-strength wood fractions from veneers and strands derived from small-diameter birch and beech roundwood. This process increases raw material density to 0.92-1.19 g/cmB3, while significantly improving tensile strength and stiffness. Notably, densified birch veneers achieved tensile strength up to 400 MPa and stiffness up to 40 GPa, comparable to industrially available veneers. The study concludes that this approach enables the utilization of previously undervalued wood fractions in high-quality material applications, particularly in the automotive industry. This innovation not only improves product sustainability and reduces COb footprint but also creates new opportunies for sustainable value-added processes in the mobility sector.
Influence of Two Closed Recycling-Loops on the Mechanical and Material Properties of Expanded Polypropylene Beads
Authors: Handtke Sören , Hain Jörg , Fischer Fabian , Ossowski Tim , Hartwig Sven , Dröder Klaus 
Published: December 2024

AbstractCar manufacturers are currently facing the challenge of making their products and production more sustainable in order to comply with sustainability requirements and legislation. For example, the latest draft legislation in the European Union requires a general use of 25% recycled material for plastic parts, of which 25% should be post-consumer recyclate (PCR). One way to make products more sustainable is to reduce the carbon footprint of fossil-based plastic parts. This can be achieved by using lightweight parts with minimum material input and therefore low density on the one hand, and recycled materials on the other. Particle foam parts have the potential to meet both requirements. Expanded polypropylene (EPP) parts are currently used in vehicles for their lightweight potential, insulating and energy absorbing properties.To achieve sustainable particle foam parts made from EPP, the recycled content must be increased while meeting material and mechanical property requirements. For this purpose, three simulated life cycles with two recycling loops were carried out on virgin EPP. The virgin material was processed to specimens in a steamfree process and then artificially aged to replicate automotive life cycle stresses. Then, the mechanical properties were evaluated, mechanical recycling was carried out and an EPP particle foam with 100% recycled content was produced and processed. Meanwhile, the material properties, such as thermal and chemical properties, were determined and analysed comparatively.After each recycling cycle the influences of different aging mechanisms and processing steps on the properties could be demonstrated. The molecular chain structure shows a clear dependence on the number of recycling steps, resulting in a more inhomogeneous distribution. Compression properties show a decrease of 13,7% after the first recycling step and 39,25% after the second recycling step.Overall, the recyclability of EPP material has been demonstrated, potentially allowing the use of higher levels of recycled content.
On the Systematic Selection of CE Strategies for End-of-Life-Products: A Guide for Practitioners
Authors: Dvorak Julia , Stanzl Leonie , Lachnit Tobias , Benfer Martin , Balzereit Frank , Lanza Gisela 
Published: December 2024

AbstractMotivated by the goal of reducing resource consumption, industries around the globe are rethinking their linear production systems to move towards a circular economy (CE). CE strategies must be selected individually for each product and each instance. The scope of the decision logic developed in this work was constrained to reuse, repair, remanufacture, recycle, and recover. Following this, factors that influence the selection of a strategy are identified based on literature and expert interviews and mapped to the selected CE strategies. A criteria clustering occurs according to PESTEL categories (political, economic, sociological, technical considering product and process, environmental and legal). A pairwise comparison of criteria is made based on which a hierarchy is established. In addition, strategic factors were assigned a higher order in the hierarchy. This order provides the basis for the decision trees to be created. In a first decision tree, suitable CE strategies are identified at a high level based on the product properties for which the applicability is validated in a second tree. This procedure may be followed in an iterating manner for the whole product and its components. In the logic, criteria can be either strategic (for example, process setup) or operational (decision at the product instance level). The termination criterion is the selection of the CE strategy ‘recover’ or product disposal. The selection of CE strategies was validated using the example of batteries used in electric vehicles. For this purpose, two scenarios with differing product states were developed, and the decision logic was applied to both.
From Lab to Loop - Designing Sustainable Pathways Towards a Circular Economy in the Automotive Industry - A Digital Hub
Authors: Remke Lisa , Philipp Marlon , Hoppe Christoph , Koch Benjamin 
Published: December 2024

AbstractClimate change and resource scarcity pose existential long-term threats to humanity. To tackle these issues the adoption of circular economy (CE) measures presents a viable option to reduce the emission of greenhouse gases and preserve resources by reusing products and materials. Building on these insights, the DIONA project (Digital Ecosystem for a Sustainable Circular Economy in the Automotive Industry) aims to support the German automotive industries’ circular efforts through the development and operation of a Digital Hub, which facilitates cross-company collaboration to advance and share sustainable CE practices. Consequently, we conducted a multi-pronged approach, involving a rigorous process of examining previous hub initiatives, reviewing case studies, conducting interviews, and initiating focus group discussions with industry leading experts from the automotive industry. Through this process, we articulate a strategic roadmap, where we define goals, identify, and schedule milestones and assort the activities necessary for a successful realization of the Digital Hub. The primary objectives of the hub encompass (1) fostering an open and collaborative culture, (2) encouraging companies to share best practices, pool resources, and (3) strengthening collective investments in sustainable initiatives. In addition, the roadmap considers stakeholders beyond the business community. It also addresses government agencies, research institutions, and Non-Governmental Organizations in the digital ecosystem and builds a holistic approach to a sustainable CE. The first results of the conducted studies suggest that a combination of virtual and physical actions is necessary to trigger collaboration. In this roadmap, we align a variety of stakeholders and provide valuable insights, into the cross-collaboration of twelve scientific research projects working together to shape a CE. Hence, the roadmap represents a pioneering effort to address pressing economic and environmental issues and offers a vision for a more sustainable and prosperous automotive industry.