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A chromatic confocal 3D sensor is proposed. In contrast to the state of the art, which typically uses spectrometers to measure the wavelength, only a few camera channels are used. Each channel has an unique spectral sensitivity ant the optimization of the sensitivity is the main part of the book. Interference filters are optimized for the technical realization.

Interferrenzfilter chromatisch konfokal 3D Messtechnik,interference filter chromatic confocal 3D

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Successful speaking and understanding requires mechanisms for reliably encoding structured linguistic representations in memory and for effectively accessing information in those representations later. Studying the time-course of real-time linguistic dependency formation provides a valuable tool for uncovering the cognitive and neural basis of these mechanisms. This volume draws together multiple perspectives on encoding and navigating structured linguistic representations, to highlight important empirical insights, and to identify key priorities for new research in this area.

Psycholinguistics --- parsing --- sentence comprehension --- encoding --- memory retrieval --- interference --- anaphor resolution --- agreement processing --- Filler-gap dependencies

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This work describes the OFDM-based MIMO Radar-Communication System, intended for operation in a multiple-user network, especially the automotive sector in the vehicle-to vehicle/infrastructure network. The OFDM signals however are weak towards frequency offsets causing subcarrier misalignment and corrupts the radar estimation and the demodulation of the communication signal. A simple yet effective interference cancellation algorithm is detailed here with real time measurement verification.

Radar, Radar-Kommunikations System, OFDM, Interferenz, Mehrbenutzer NetwerkRadar, Radar-Communication System, OFDM, Interference, Multi-user network

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Neurodegenerative diseases (NDs) are a heterogeneous group of disorders affecting the central nervous system. Despite significant differences in their causes, neuropathological abnormalities, and clinical outcomes, some similarities can be found among them, as for example: 1) frequent aggregation and deposition of misfolded proteins, 2) common molecular mechanisms leading to neurodegeneration, and 3) certain overlap in symptoms and clinical features. To date, there is no cure that could stop or delay the progression of these diseases. The advent of advanced gene therapy techniques such as gene silencing and gene editing opened a new avenue for the development of therapeutic strategies for NDs.The discovery of the RNA interference (RNAi) mechanism, in 1998, by Andrew Fire and Craig Mello allowed an important boost to the gene therapy field, providing a potential therapeutic strategy to treat inherited dominant genetic disorders. The use of small RNA sequences to control the expression of disease-causing genes rapidly implemented in the preclinical studies for different diseases. In the field of NDs, several successful studies using this technology proved its potential as a therapeutic option. However, issues like the type of delivery system (non-viral versus viral) or the potential toxicity of the small RNA molecules, made the translation of gene silencing therapeutics to human application very slow and difficult.Recently, a new hope in the gene therapy field emerged with the development of gene editing techniques like TALENs or CRISPR/Cas9 systems. The opportunity of editing or deleting gene sequences drove the scientific community euphoric, with an enormous increase in the number of published studies using this type of techniques. Recently, the first clinical trial using one of these systems was approved in China. For NDs, gene-editing technology also represents an important therapeutic option, and the first preclinical studies are now being published, showing the potential accomplishment for this technology.

Gene silencing --- Gene editing --- Neurodegenerative diseases --- Antisense oligonucleotides --- CRISPR/Cas9 --- Neuroinflammation --- iPS cells --- Long non-coding RNAs --- RNA interference --- Neurodegeneration

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The book Green, Energy-Efficient and Sustainable Networks provides insights and solutions for a range of problems in the field of obtaining greener, energy-efficient, and sustainable networks. The book contains the outcomes of the Special Issue on “Green, Energy-Efficient and Sustainable Networks” of the Sensors journal. Seventeen high-quality papers published in the Special Issue have been collected and reproduced in this book, demonstrating significant achievements in the field. Among the published papers, one paper is an editorial and one is a review, while the remaining 15 works are research articles. The published papers are self-contained peer-reviewed scientific works that are authored by more than 75 different contributors with both academic and industry backgrounds. The editorial paper gives an introduction to the problem of information and communication technology (ICT) energy consumption and greenhouse gas emissions, presenting the state of the art and future trends in terms of improving the energy-efficiency of wireless networks and data centers, as the major energy consumers in the ICT sector. In addition, the published articles aim to improve energy efficiency in the fields of software-defined networking, Internet of things, machine learning, authentication, energy harvesting, wireless relay systems, routing metrics, wireless sensor networks, device-to-device communications, heterogeneous wireless networks, and image sensing. The last paper is a review that gives a detailed overview of energy-efficiency improvements and methods for the implementation of fifth-generation networks and beyond. This book can serve as a source of information in industrial, teaching, and/or research and development activities. The book is a valuable source of information, since it presents recent advances in different fields related to greening and improving the energy-efficiency and sustainability of those ICTs particularly addressed in this book

internet-of-things --- opportunistic networks --- wireless power transfer --- inter-meeting time --- Markov chain --- node speed --- battery capacity --- node density --- energy-efficient Ethernet --- QoS --- SDN --- real-time traffic --- ONOS --- image compressive sensing (CS) --- green internet of things (IoT) --- measurement structure --- random structural matrices --- linear recovery --- Internet of Things --- malware detection --- adversarial samples --- machine learning --- edge computing --- clustering --- physical-layer authentication --- lightweight cipher --- channel state information --- lightweight authentication --- HetNets --- interference coordination --- energy efficiency --- stochastic geometry --- Device-to-Device (D2D) --- peer discovery --- energy harvesting --- social awareness --- PHY-layer --- light-weight authentication --- neural network --- WSN --- industrial --- wireless power transfer --- directional charging vehicle --- charging efficiency --- RWSN --- green networking --- energy aware routing --- carbon footprint --- adaptive link rate --- control and data plane --- 5G --- energy-efficiency --- sustainability --- NOMA --- energy harvesting --- amplify-and-forward --- imperfect CSI --- successive interference cancellation (SIC) --- machine learning --- LTE-A --- energy efficiency --- resource block allocation --- bisection based optimal power allocation --- water filling algorithm --- proportional rate constraint --- mobile edge computing --- IoT --- RF Fingerprinting --- authentication --- cooperative smart community --- scheduling algorithm --- consumer preferences --- renewables --- software defined networking (SDN) --- data center --- optimization --- traffic engineering --- energy awareness --- energy-efficiency --- wireless --- green --- sustainable --- data centre --- networks --- ICT --- 5G --- power --- wired access --- IoT --- spatial modulation --- multiple-input multiple-output --- full-duplex --- self-interference cancellation --- symbol error probability