6,841 research outputs found

    Beam scanning by liquid-crystal biasing in a modified SIW structure

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    A fixed-frequency beam-scanning 1D antenna based on Liquid Crystals (LCs) is designed for application in 2D scanning with lateral alignment. The 2D array environment imposes full decoupling of adjacent 1D antennas, which often conflicts with the LC requirement of DC biasing: the proposed design accommodates both. The LC medium is placed inside a Substrate Integrated Waveguide (SIW) modified to work as a Groove Gap Waveguide, with radiating slots etched on the upper broad wall, that radiates as a Leaky-Wave Antenna (LWA). This allows effective application of the DC bias voltage needed for tuning the LCs. At the same time, the RF field remains laterally confined, enabling the possibility to lay several antennas in parallel and achieve 2D beam scanning. The design is validated by simulation employing the actual properties of a commercial LC medium

    Molecular Mechanisms and Therapies of Colorectal Cancer

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    Colorectal cancer (CRC) is currently the third leading cause of cancer-related mortality, with 1.9 million incidence cases and 0.9 million deaths worldwide. The global number of new CRC cases is predicted to reach 3.2 million in 2040, based on the projection of aging, population growth, and human development.In clinics, despite advances of diagnosis and surgical procedures, 20% of the patients with CRC present with metastasis at the time of diagnosis, caused by residual tumor cells that have spread to distant organs prior to surgery, affecting the patient survival rate. Standard systemic chemotherapy, alternative therapies that target mechanisms involved in cancer progression and metastasis, immunotherapy, and combination therapies are the major CRC-treatment strategies. In the advanced stage of CRC the transforming growth factor-beta (TGF-β) plays an oncogenic role by promoting cancer cell proliferation, cancer cell self-renewal, epithelial-to-mesenchymal transition, invasion, tumor progression, metastatic spread, and immune escape. Furthermore, high levels of TGF-β1 confers poor prognosis and is associated with early recurrence after surgery, resistance to chemo- or immunotherapy, and shorter survival. Based on the body of experimental evidence indicating that TGF-β signaling has the potential to be a good therapeutic target in CRC, several anti-TGF-β drugs have been investigated in cancer clinical trials. Here, we presented a comprehensive collection of manuscripts regarding studies on targeting the TGF-β signaling in CRC to improve patient’s prognosis and personalized treatments

    ATR-FTIR Spectroscopy-Linked Chemometrics:A Novel Approach to the Analysis and Control of the Invasive Species Japanese Knotweed

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    Japanese knotweed (Reynoutria japonica), an invasive plant species, causes negative environmental and socio-economic impacts. A female clone in the United Kingdom, its extensive rhizome system enables rapid vegetative spread. Plasticity permits this species to occupy a broad geographic range and survive harsh abiotic conditions. It is notoriously difficult to control with traditional management strategies, which include repetitive herbicide application and costly carbon-intensive rhizome excavation. This problem is complicated by crossbreeding with the closely related species, Giant knotweed (Reynoutria sachalinensis), to give the more vigorous hybrid, Bohemian knotweed (Fallopia x Bohemica) which produces viable seed. These species, hybrids, and backcrosses form a morphologically similar complex known as Japanese knotweed ‘sensu lato’ and are often misidentified. The research herein explores the opportunities offered by advances in the application of attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy-linked chemometrics within plant sciences, for the identification and control of knotweed, to enhance our understanding of knotweed biology, and the potential of this technique. ATR-FTIR spectral profiles of Japanese knotweed leaf material and xylem sap samples, which include important biological absorptions due to lipids, proteins, carbohydrates, and nucleic acids, were used to: identify plants from different growing regions highlighting the plasticity of this clonal species; differentiate between related species and hybrids; and predict key physiological characteristics such as hormone concentrations and root water potential. Technical advances were made for the application of ATR-FTIR spectroscopy to plant science, including definition of the environmental factors that exert the most significant influence on spectral profiles, evaluation of sample preparation techniques, and identification of key wavenumbers for prediction of hormone concentrations and abiotic stress. The presented results cement the position of concatenated mid-infrared spectroscopy and machine learning as a powerful approach for the study of plant biology, extending its reach beyond the field of crop science to demonstrate a potential for the discrimination between and control of invasive plant species

    Incorporating implementation within the economic evaluation of health technologies

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    1-D broadside-radiating leaky-wave antenna based on a numerically synthesized impedance surface

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    A newly-developed deterministic numerical technique for the automated design of metasurface antennas is applied here for the first time to the design of a 1-D printed Leaky-Wave Antenna (LWA) for broadside radiation. The surface impedance synthesis process does not require any a priori knowledge on the impedance pattern, and starts from a mask constraint on the desired far-field and practical bounds on the unit cell impedance values. The designed reactance surface for broadside radiation exhibits a non conventional patterning; this highlights the merit of using an automated design process for a design well known to be challenging for analytical methods. The antenna is physically implemented with an array of metal strips with varying gap widths and simulation results show very good agreement with the predicted performance

    METROPOLITAN ENCHANTMENT AND DISENCHANTMENT. METROPOLITAN ANTHROPOLOGY FOR THE CONTEMPORARY LIVING MAP CONSTRUCTION

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    We can no longer interpret the contemporary metropolis as we did in the last century. The thought of civil economy regarding the contemporary Metropolis conflicts more or less radically with the merely acquisitive dimension of the behaviour of its citizens. What is needed is therefore a new capacity for imagining the economic-productive future of the city: hybrid social enterprises, economically sustainable, structured and capable of using technologies, could be a solution for producing value and distributing it fairly and inclusively. Metropolitan Urbanity is another issue to establish. Metropolis needs new spaces where inclusion can occur, and where a repository of the imagery can be recreated. What is the ontology behind the technique of metropolitan planning and management, its vision and its symbols? Competitiveness, speed, and meritocracy are political words, not technical ones. Metropolitan Urbanity is the characteristic of a polis that expresses itself in its public places. Today, however, public places are private ones that are destined for public use. The Common Good has always had a space of representation in the city, which was the public space. Today, the Green-Grey Infrastructure is the metropolitan city's monument that communicates a value for future generations and must therefore be recognised and imagined; it is the production of the metropolitan symbolic imagery, the new magic of the city

    Data journeys in the sciences

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    This is the final version. Available from Springer via the DOI in this record. This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research.European CommissionAustralian Research CouncilAlan Turing Institut

    Measurement of the Environmental Impact of Materials

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    Throughout their life cycles—from production, usage, through to disposal—materials and products interact with the environment (water, soil, and air). At the same time, they are exposed to environmental influences and, through their emissions, have an impact on the environment, people, and health. Accelerated experimental testing processes can be used to predict the long-term environmental consequences of innovative products before these actually enter the environment. We are living in a material world. Building materials, geosynthetics, wooden toys, soil, nanomaterials, composites, wastes and more are research subjects examined by the authors of this book. The interactions of materials with the environment are manifold. Therefore, it is important to assess the environmental impact of these interactions. Some answers to how this task can be achieved are given in this Special Issue

    It is too hot in here! A performance, energy and heat aware scheduler for Asymmetric multiprocessing processors in embedded systems.

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    Modern architecture present in self-power devices such as mobiles or tablet computers proposes the use of asymmetric processors that allow either energy-efficient or performant computation on the same SoC. For energy efficiency and performance consideration, the asymmetry resides in differences in CPU micro-architecture design and results in diverging raw computing capability. Other components such as the processor memory subsystem also show differences resulting in different memory transaction timing. Moreover, based on a bus-snoop protocol, cache coherency between processors comes with a peculiarity in memory latency depending on the processors operating frequencies. All these differences come with challenging decisions on both application schedulability and processor operating frequencies. In addition, because of the small form factor of such embedded systems, these devices generally cannot afford active cooling systems. Therefore thermal mitigation relies on dynamic software solutions. Current operating systems for embedded systems such as Linux or Android do not consider all these particularities. As such, they often fail to satisfy user expectations of a powerful device with long battery life. To remedy this situation, this thesis proposes a unified approach to deliver high-performance and energy-efficiency computation in each of its flavours, considering the memory subsystem and all computation units available in the system. Performance is maximized even when the device is under heavy thermal constraints. The proposed unified solution is based on accurate models targeting both performance and thermal behaviour and resides at the operating systems kernel level to manage all running applications in a global manner. Particularly, the performance model considers both the computation part and also the memory subsystem of symmetric or asymmetric processors present in embedded devices. The thermal model relies on the accurate physical thermal properties of the device. Using these models, application schedulability and processor frequency scaling decisions to either maximize performance or energy efficiency within a thermal budget are extensively studied. To cover a large range of application behaviour, both models are built and designed using a generative workload that considers fine-grain details of the underlying microarchitecture of the SoC. Therefore, this approach can be derived and applied to multiple devices with little effort. Extended evaluation on real-world benchmarks for high performance and general computing, as well as common applications targeting the mobile and tablet market, show the accuracy and completeness of models used in this unified approach to deliver high performance and energy efficiency under high thermal constraints for embedded devices

    Developing active biomaterials for implantable devices: platforms to investigate capacitive charge based control of biofouling

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    Implantable devices, in particular biosensors, have clear utility within medicine, but face a hurdle to long-term function due to adsorption of biomolecules (biofouling) and subsequent immune re- sponse to implants, the foreign body response (FBR). Strategies to control this immune reaction have included material selection, drug release and, more recently, engineered surface properties. The increasing use of embedded electronics within many classes of implanted devices presents an opportunity to exploit electromagnetic phenomena at the device surface to mitigate biofouling and FBR. Such active biomaterials would allow dynamic modification of the apparent material properties of an implanted device. A hypothesis was developed that biological interaction with a biomaterial surface can be altered by capacitive charging. A platform was constructed to test this and related hypotheses around cell and protein surface interactions in vitro and adapted into a second platform for initial characterisa- tion work on an early in vivo model using chick eggs. These platforms were designed to be easy to fabricate and to provide multiple electrical connections into a substrate in contact with biological solutions or tissue. Electrodes were fabricated from fluoropolymer coated tantalum pentoxide, a high-Îş dielectric, and compared against adjacent, identically coated, silicon dioxide regions. Cells from the MDA- MB-231 cancer cell line were cultured on these regions under electrical stimulation. A voltage de- pendent reduction of cell attachment and spreading was detected on capacitively charged surfaces compared to uncharged controls. The tentative results, suggest capacitively charged surfaces hold promise as active biomaterials. A second cell type MCF-7 did not reproduce the effect, implying a more coherent understanding is required of the mechanisms behind cell surface interactions on these surfaces. Multiple independent bioelectrochemical cell-surface interactions were observed using the plat- form and several quantification techniques were successfully employed. It is therefore argued that the platform may have wide applicability as a future research tool
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