Microplasticity of idealized single crystalline Ag cantilevers characterized with methods of high resolution

Single crystalline, µm-sized cantilevers are fabricated out of epitaxially grown Ag thin films by a lithography-based procedure and are deflected by a nanoindenter system. The microstructure of the plastically deformed cantile-vers is investigated using transmission Kikuchi diffraction (TKD) on the cantilever cross section. 3D discrete dislocation dynamics simulations (DDD) are performed for further analysis. A mechanism to explain the formation of dislocation networks upon loading is suggested

Microplasticity of idealized single crystalline Ag cantilevers characterized with methods of high resolution

Single crystalline, µm-sized cantilevers are fabricated out of epitaxially grown Ag thin films by a lithography-based procedure and are deflected by a nanoindenter system. The microstructure of the plastically deformed cantile-vers is investigated using transmission Kikuchi diffraction (TKD) on the cantilever cross section. 3D discrete dislocation dynamics simulations (DDD) are performed for further analysis. A mechanism to explain the formation of dislocation networks upon loading is suggested

Advances in type-II superlattice research at Fraunhofer IAF

Current advances in type-II superlattice (T2SL) research at Fraunhofer IAF are elaborated on in this paper. First, the use of metastructures for quantum efficiency (QE) enhancement in the longwave infrared (LWIR) is presented. Finite element modelling results are reported on that suggest a potential for doubling of the QE at certain wavelengths with the investigated device structure. Next, characterisation results of midwave infrared (MIWR) InAs/InAsSb T2SL nBn detectors are shown. The low, diffusion-limited dark current above 120 K and a QE of 60% are comparable to the state-of-the-art. Finally, groundwork for InAs/GaSb T2SL MWIR/LWIR dual-band detector arrays based on a back-to-back heterojunction diode device concept is presented. The dry etching technology allows for steep etch trenches and full pixel reticulation with a fill factor of about 70% at 12 μm pitch. The detector characterisation at 77 K and ±250 mV bias demonstrates the bias-switchable operation mode with dark current densities of 6.1·10ˉ⁹ A/cm² in the MWIR and 5.3·10ˉ⁴ A/cm² in the LWIR

Multimodal workflows optimally predict response to repetitive transcranial magnetic stimulation in patients with schizophrenia: a multisite machine learning analysis.

The response variability to repetitive transcranial magnetic stimulation (rTMS) challenges the effective use of this treatment option in patients with schizophrenia. This variability may be deciphered by leveraging predictive information in structural MRI, clinical, sociodemographic, and genetic data using artificial intelligence. We developed and cross-validated rTMS response prediction models in patients with schizophrenia drawn from the multisite RESIS trial. The models incorporated pre-treatment sMRI, clinical, sociodemographic, and polygenic risk score (PRS) data. Patients were randomly assigned to receive active (N = 45) or sham (N = 47) rTMS treatment. The prediction target was individual response, defined as ≥20% reduction in pre-treatment negative symptom sum scores of the Positive and Negative Syndrome Scale. Our multimodal sequential prediction workflow achieved a balanced accuracy (BAC) of 94% (non-responders: 92%, responders: 95%) in the active-treated group and 50% in the sham-treated group. The clinical, clinical + PRS, and sMRI-based classifiers yielded BACs of 65%, 76%, and 80%, respectively. Apparent sadness, inability to feel, educational attainment PRS, and unemployment were most predictive of non-response in the clinical + PRS model, while grey matter density reductions in the default mode, limbic networks, and the cerebellum were most predictive in the sMRI model. Our sequential modelling approach provided superior predictive performance while minimising the diagnostic burden in the clinical setting. Predictive patterns suggest that rTMS responders may have higher levels of brain grey matter in the default mode and salience networks which increases their likelihood of profiting from plasticity-inducing brain stimulation methods, such as rTMS. The future clinical implementation of our models requires findings to be replicated at the international scale using stratified clinical trial designs

Development and regeneration of the vertebrate brain

The vertebrate brain is hierarchically assembled about orthogonal axes using organizing centers that control cascades of signaling events. The reiterative generation of these centers at defined times, and in precise spatial locations, leads to the conversion of a contiguous and homogenous epithelial sheet into the most complex biological tissue in the animal kingdom. The critical events orchestrating the construction of a "typical" vertebrate brain are described. Attention is focused on specification of major brain regions common across the vertebrate phylogeny, rather than on the differentiation of constituent cell types and specific cytoarchitectures. By uncloaking the complex spatial interactions that unfold temporally during the build of the vertebrate brain, it becomes clear why regeneration of this tissue following injury is such a challenging task. And yet, while mammalian brains fail to regenerate, the brains of non-mammalian vertebrates, such as teleosts, reptiles and amphibians, can successfully reconstitute brain tissue following traumatic injury. Understanding the molecular and cellular bases of this remarkable regenerative capacity is revealing the importance of developmental programs, as well as exposing unexpected roles for extraneous processes such as inflammation. Recent discoveries are now fuelling hope for future therapeutic approaches that will ameliorate the debilitating consequences of brain injury in humans

Tropospheric Aqueous-Phase Chemistry: Kinetics, Mechanisms, and Its Coupling to a Changing Gas Phase

[no abstract available