Integration of product entropy and LCA to screen the potential environmental impacts of complex product systems at the end-of-life stage

Applying life cycle assessment (LCA) early in the development of technologies is essential to anticipate potential unforeseen environmental consequences. Modelling the lifecycle of a complex product is nevertheless challenging, as the data required is usually scarce. The approach presented in this paper integrates product entropy into end-of-life modelling for LCA. This enables anticipating the fate of a product after its end-of-use leading to a more realistic allocation of environmental impacts. The approach is demonstrated for the case study of recycling traction batteries with emerging traction battery cell chemistries.     

Bücherschau

Ohne Zusammenfassung VDI     

In Vivo Examination of an Injectable Hydrogel System Crosslinked by Peptide–Oligosaccharide Interaction in Immunocompetent Nude Mice

Hydrogels can serve as matrices to mimic natural tissue function and be used for wide‐ranging applications such as tissue regeneration and drug delivery. Injectable hydrogels are particularly favorable because their uses are minimally invasive. However, creating moldable substance for injection often results in compromised function and stability. This study reports an injectable hydrogel system crosslinked by peptide–oligosaccharide noncovalent interaction. The dynamic network shows fast self‐healing, a property essential for injectability. Injected hydrogels in immunocompetent mice and release of encapsulated compound are monitored up to 9 months by magnetic resonance imaging (MRI) and optical imaging. This surprisingly stable hydrogel does not cause adverse inflammatory response, as analyzed by measuring cytokine levels, immunohistochemistry, and MRI. Hydrogel degradation is associated with invasion of macrophages and vascular formation. The facile synthesis, high biocompatibility, and stability of this injectable hydrogel can lead to various experimental and clinical applications in regenerative medicine and drug delivery.     

Study of the pyroelectric behavior of BaTi<Subscript>1−<Emphasis Type="BoldItalic">x</Emphasis></Subscript>Sn<Subscript><Emphasis Type="BoldItalic">x</Emphasis></Subscript>O<Subscript>3</Subscript> piezo-ceramics

In this work, the thermal square wave method at single-frequency (TSWM) was applied to functionally graded BaTi_1−x Sn _x O₃ samples with a tin gradient of 0.075 ≤ x ≤ 0.15. The samples were fabricated by sintering of bi-, tri- and tetramorph green bodies. The polarization at the back side with a higher tin content was in opposite direction to the polarization of the surface with a lower tin content. This was attributed to the appearance of a space charge layer. The determined depth profiles of the pyroelectric coefficient illustrate the appearance of a nearly constant polarization in the region of lower tin concentration of tri- and tetramorph samples. The pyroelectric coefficient profiles were in good agreement with the averaged over sample thickness pyroelectric coefficient obtained separately by the quasistatic method.     

Datenschutzrechtliche Aspekte bei der weitergabe von IP-Adressen

Im Alltag eines Administrators werden rund um den Betrieb von Web- und E-Mail-Servern in vielerlei Hinsicht IP-Adressen gespeichert oder sogar an Dritte übermittelt. H?ufig übersehen oder gar wissentlich übergangen wird dabei die inzwischen kaum mehr umstrittene Tatsache, dass es sich bei IP-Adressen um personenbezogene Daten handelt, die unter die Regeln des Datenschutzes fallen. Aber welche konkreten technischen und rechtlichen Konsequenzen hat diese Einordnung, insbesondere wenn die Daten an Dritte weitergegeben werden?     

Robust 3D object registration without explicit correspondence using geometric integration

3D vision-guided manipulation of components is a key problem of industrial machine vision. In this paper, we focus on the localization and pose estimation of known industrial objects from 3D measurements delivered by a scanning sensor. Since local information extracted from these measurements is unreliable due to noise, spatially unstructured measurements and missing detections, we present a novel objective function for robust registration without using correspondence information, based on the likelihood of model points. Furthermore, by extending Runge–Kutta-type integration directly to the group of Euclidean transformation, we infer object pose by computing the gradient flow directly on the related manifold. Comparison of our approach to existing state of the art methods shows that our method is more robust against poor initializations while having comparable run-time performance.