Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiber Bragg grating application to study an unmanned aerial system composite wing

Structural health monitoring consists of structural integrity assessment by means of data acquisition and analysis from on-board sensors. Fiber Bragg grating–based monitoring is increasingly attracting the scientific community working on structural health monitoring due to its multiple advantages such as electromagnetic immunity, negligible weight and size, and multiplexing availability. However, the integration of fiber optics within a structure still requires new procedures and signal treatment techniques for increasing technology reliability and exploiting its full potential. In this article, five embedded Fiber Bragg grating sensors are installed in an unmanned aerial system wing for correlating operational conditions with structural strain in real time. Sensor locations are determined by a finite element model accounting for manufacturing limitations of the fiber line. The developed Fiber Bragg grating system and processing techniques are used in static and dynamic tests showing the capacities of this powerful technology. The assessment includes deflection shape estimation, strain cycles counting, audible and visual strain alarms, aileron control based on strain levels, and structural resonance response detection.
Edinburgh Epidermal Growth Factor Receptor substrate 8 (Eps8) controls Src/FAK-dependent phenotypes in squamous carcinoma cells

Eps8 is an actin regulatory scaffold protein whose expression is increased in squamous cell carcinoma (SCC) cells. It forms a complex with both focal adhesion kinase (FAK, also known as PTK2) and Src in SCC cells derived from skin carcinomas induced by administration of the chemical DMBA followed by TPA (the DMBA/TPA model). Here, we describe two new roles for Eps8. Firstly, it controls the spatial distribution of active Src in a FAK-dependent manner. Specifically, Eps8 participates in, and regulates, a biochemical complex with Src and drives trafficking of Src to autophagic structures that SCC cells use to cope with high levels of active Src when FAK is absent. Secondly, when FAK is expressed in SCC cells, thereby meaning active Src becomes tethered at focal adhesion complexes, Eps8 is also recruited to focal adhesions and is required for FAK-dependent polarization and invasion. Therefore, Eps8 is a crucial mediator of Src- and FAK-regulated processes; it participates in specific biochemical complexes and promotes actin re-arrangements that determine the spatial localization of Src, and modulates the functions of Src and FAK during invasive migration.
A STUDY OF MODEL PREDICTIVE CONTROL APPLIED TO THE FRENCH DEMO OF INTERFLEX

In the course of the 2020 Horizon project InterFlex, French distribution system operator (DSO) ENEDIS is building Nice Smart Valley, a demonstrator to test innovative solutions for distribution systems. In their first use case, the network of the Lérins’ islands is equipped with a variety of distributed energy resources (DERs) to investigate the combination of local storage systems and renewable generation, with specific focus on the temporary operation as a fully autonomous island. This paper presents the application of a previously developed model predictive control (MPC) based energy management system (EMS) to the demonstrator network under construction. Simulations show how the DERs can be used for different objectives like collective self-consumption and maximization of potential islanding time (PIT).
Mobile device machine vision estimation of mango crop load

The application of machine vision in orchard was considered in context of mango crop load (fruit number and fruit size). An algorithm for automatic detection and counting of fruits in images of trees in orchard was developed. RGB images were acquired of two sides of mango trees (‘dual view’). Fruit count per tree was obtained by harvest of trees, and by manual count of fruit in images. The R 2 and slope between dual-view and harvest count varied between 0.74 and 0.92, and 0.34 and 0.55, respectively, depending on canopy structure. The fruit counting model involved: (i) fruit-like object detection using HAAR cascade classifier using an AdaBoost technique; (ii) classification of detected region using a multilayer Convolutional Neural Network (CNN). The machine vision count achieved a precision = 0.94, recall= 0.89, and F1 score = 0.9 against a human count of fruit in images. For the estimation of fruit size individual fruits were imaged against a backing board (with a circular scale printed on a blue background), with an RMSE of 3.6 mm for lineal dimension measurement achieved.
Institutional Knowledge at Singapore Management University Limit theory for moderate deviations from a unit root under weak dependence

An asymptotic theory is given for autoregressive time series with weakly dependent innovations and a root of the form ρ n = 1+ c/n α , involving moderate deviations from unity when α ∈ (0 , 1) and c ∈ R are constant parameters. The limit theory combines a functional law to a di ﬀ usion on D [0 , ∞ ) and a central limit theorem. For c > 0 , the limit theory of the ﬁ rst order serial correlation coe ﬃ cient is Cauchy and is invariant to both the distribution and the dependence structure of the innovations. To our knowledge, this is the ﬁ rst invariance principle of its kind for explosive processes. The rate of convergence is found to be n α ρ nn , which bridges asymptotic rate results for conventional local to unity cases ( n ) and explosive autoregressions ( (1 + c ) n ). For c < 0 , we provide results for α ∈ (0 , 1) that give an n (1+ α ) / 2 rate of convergence and lead to asymptotic normality for the ﬁ rst order serial correlation, bridging the √ n and n convergence rates for the stationary and conventional local to unity cases. Weakly dependent errors are shown to induce a bias in the limit distribution, analogous to that of the local to unity case. Linkages to the limit theory in the stationary and explosive cases are established.
Variational Spectral Analysis

We present results on smooth and nonsmooth variational properties of symmetric functions of the eigenvalues of a real symmetric matrix argument, as well as absolutely symmetric functions of the singular values of a real rectangular matrix. Such results underpin the theory of optimization problems involving such functions. We answer the question of when a symmetric function of the eigenvalues allows a quadratic expansion around a matrix, and then the stronger question of when it is twice di erentiable. We develop simple formulae for the most important nonsmooth subdi erentials of functions depending on the singular values of a real rectangular matrix argument and give several examples. The analysis of the above two classes of functions may be generalized in various larger abstract frameworks. In particular, we investigate how functions depending on the eigenvalues or the singular values of a matrix argument may be viewed as the composition of symmetric functions with the roots of hyperbolic polynomials. We extend the relationship between hyperbolic polynomials and self-concordant barriers (an extremely important class of functions in contemporary interior point methods for convex optimization) by exhibiting a new class of self-concordant barriers obtainable from hyperbolic polynomials.
ADVANCES AND FUTURE DIRECTIONS IN EARTH SYSTEM MODELLING (I SIMPSON, SECTION EDITOR) Advances in Land Surface Modelling

Land surface models have an increasing scope. Initially designed to capture the feedbacks between the land and the atmosphere as part of weather and climate prediction, they are now used as a critical tool in the urgent need to inform policy about land-use and water-use management in a world that is changing physically and economically. This paper outlines the way that models have evolved through this change of purpose and what might the future hold. It highlights the importance of distinguishing between advances in the science within the modelling components, with the advances of how to represent their interaction. This latter aspect of modelling is often overlooked but will increasingly manifest as an issue as the complexity of the system, the time and space scales of the system being modelled increase. These increases are due to technology, data availability and the urgency and range of the problems being studied.
N. Taran: RESPONSE OF PHOTOSYNTHETIC APPARATUS OF TWO DESCHAMPSIA SPECIES ..

Deschampsia antarctica (endemic of Antarctic region) and Deschampsia caespitosa (inhabitant of moderate climate regions) are two plant species of Poaceae. The influences of UV-B radiation and H2O2 on photosynthetic apparatus of these plants were studied. UV-B radiation induced degradation of chlorophyll a and β-carotene in leaves of plants of both Deschampsia species. The content of galactolipids in leaves of both species under conditions of UV-B radiation varied significantly, but comparatively stable sulfoquinovosyldiacylglycerol (SQDG) content was observed. UV-B radiation caused slight decrease of QA pool oxidation level in D. antarctica leaves and increase of this index in leaves of D. caespitosa plants. Also UV-B action induced slight decrease of non-photochemical quenching in D. caespitosa leaves, but PS II quantum efficiency of charge separation φp was unchanged. The ratio between the monomeric and oligomeric forms of LHC II (LHCP1/LHCP3) in photosynthetic apparatus of leaves of irradiated plants increased, especially significantly in leaves of D. caespitosa plants. H2O2 treatment cause insignificant decrease of SOD activity of both species. Pigment composition was characterized by increase of carotenoids content in leaves of D.antarctica plants and chlorophyll a content in both species. Glycolipid content was stable and SQDG content slightly increased in leaves of D.antarctica plants after H2O2 treatment.
University of Birmingham tagPAINT

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An Investigation into the Next Generation of High Density, Ultra High Voltage, Power Supplies

This paper details an investigation into possible technologies suitable for a DC power supply that is comparable in size and voltage output to a Cockcroft Walton Generator, but can produce much greater currents and stores only a fraction of the energy. Early work suggested that the most suitable technologies were those based on conventional transformers, specifically Insulated Core Transformers (ICTs) and High Frequency Cascade Transformers (HFCTs); both of which were investigated further.Different methods have been used to calculate the flux loss in an ICT and ways of reducing these losses investigated. It is concluded that the flux loss of an ICT is too great for use in a practical, high power density, power supply, and that future work in this field should focus on an HFCT based design.
GluN2B NMDA receptor and excitatory amino acid transporter 3 are upregulated in primary sensory neurons after seven days of morphine administration in rats: implication for opiate-induced hyperalgesia

The contribution of the peripheral nervous system to opiate-induced hyperalgesia (OIH) is not well understood. Here, we determined the changes in excitability of primary sensory neurons after sustained morphine administration for 7 days. Changes in expression of glutamate receptors and glutamate transporters after morphine administration were ascertained in dorsal root ganglions (DRGs). Patch clamp recordings from intact DRGs ( ex-vivo preparation) of morphine-treated rats showed increased excitability of small diameter ( ≤ 30 µ m) neurons with respect to rheobase and membrane threshold, whereas the excitability of large diameter (> 30 µ m) neurons remained unchanged. Small diameter neurons also displayed increased responses to glutamate, which were mediated mainly by GluN2B containing NMDA receptors (NMDARs), and to a lesser degree by the neuronal excitatory amino acid transporter 3 /excitatory amino acid carrier 1 (EAAT3/EAAC1). Co-administration in vivo of the GluN2B selective antagonist Ro 25-6981 with morphine for 7 days prevented the appearance of OIH and increased morphine-induced analgesia. Administration of morphine for 7 days led to an increased expression of GluN2B and EAAT3/EAAC1, but not of the AMPA, kainate or Group I metabotropic glutamate receptors, or of the vesicular glutamate transporter 2 (VGLUT2). These results suggest that peripheral glutamatergic neurotransmission contributes to OIH and that GluN2B subunit of NMDARs in the peripher y may be a target for therapy. We investigated changes in glutamate receptors and transporters expressed on the neurons of the lumbar DRGs of rats that were morphine for 7 days showed clear signs of OIH. The results indicate that increased nociception induced by continuous morphine administration is in part dependent on peripheral GluN2B expressing NMDARs and neuronal excitatory amino acid transporter 3 /excitatory amino acid carrier 1 (EAAT3/EAAC1).
The Diachronic Spanish Sonnet Corpus : TEI

How has the sonnet form in Spanish evolved over the centuries? What is the distribution of metrical patterns and combinations thereof, considering diachronic, geographical, and social factors? What rhyme schemes are favoured in different periods and regions? How is enjambment distributed within the sonnet? Providing quantitative answers to such questions requires a corpus spanning several centuries, annotated for the relevant literary features and containing author metadata. The absence of appropriate digital resources to undertake a macroanalytic study of the evolution of the sonnet in Spanish led us to create the Diachronic Spanish Sonnet Corpus. This article presents how the corpus was designed for providing quantitative evidence on the evolution of sonnets in Spanish, and our findings regarding metrics and enjambment. The corpus contains 4,085 sonnets by 1,204 Spanish and Latin American authors (15th to 19th centuries), encoded in TEI, with RDFa attributes. The corpus aims at breadth, including many peripheral authors besides some major ones. Author metadata were encoded (dates, origin, gender). Scansion and enjambment were annotated automatically, with the ADSO and ANJA tools. The range of authors and periods, the use of TEI and RDFa for interoperability, and the combination of metrical and enjambment annotations goes beyond previously available digital resources. The corpus allowed us to examine the evolution of metrical patterns and their combinations after the Golden Age, complementing earlier studies. We also observed an increase in enjambment across the tercets in the 19th century, which may indicate increased variety in the discourse organization of sonnets in the period. Digital Scholarship in the Humanities, Vol. 36, Supplement 1, 2021. VC The Author(s) 2020. Published by Oxford University Press on behalf of EADH. All rights reserved. For permissions, please email: journals.permissions@oup.com doi:10.1093/llc/fqaa035 Advance Access published on 6 September 2020 i68 D ow naded rom http/academ ic.p.com /dsh/ar/36/Supplem ent_18/5902019 by gest on 02 uly 2021
The Phosducin-Like Protein PhLP1 Is Essential for G (cid:2)(cid:3) Dimer Formation in Dictyostelium discoideum

Phosducin proteins are known to inhibit G protein-mediated signaling by sequestering G (cid:1)(cid:2) subunits. However, Dictyostelium discoideum cells lacking the phosducin-like protein PhLP1 display defective rather than enhanced G protein signaling. Here we show that green ﬂuorescent protein (GFP)-tagged G (cid:1) (GFP-G (cid:1) ) and GFP-G (cid:2) subunits exhibit drastically reduced steady-state levels and are absent from the plasma membrane in phlp1 (cid:3) cells. Triton X-114 partitioning suggests that lipid attachment to GFP-G (cid:2) occurs in wild-type cells but not in phlp1 (cid:3) and g (cid:1) (cid:3) cells. Moreover, G (cid:1)(cid:2) dimers could not be detected in vitro in coimmunoprecipitation assays with phlp1 (cid:3) cell lysates. Accordingly, in vivo diffusion measurements using ﬂuorescence correlation spectroscopy showed that while GFP-G (cid:2) proteins are present in a complex in wild-type cells, they are free in phlp1 (cid:3) and g (cid:1) (cid:3) cells. Collectively, our data strongly suggest the absence of G (cid:1)(cid:2) dimer formation in Dictyostelium cells lacking PhLP1. We propose that PhLP1 serves as a cochaperone assisting the assembly of G (cid:1) and G (cid:2) into a functional G (cid:1)(cid:2) complex. Thus, phosducin family proteins may fulﬁll hitherto unsuspected biosyn-thetic functions.
Analysis & design of control for distributed embedded systems under communication constraints

The Networked Embedded Control System (NECS) uses communication networks in the feedback loops. Since the embedded systems have the limited battery power along with limited bandwidth and computing power, the feedback data rates are limited. The rate of communications can drastically affect system stability. Hence, there is a strong need for understanding and merging the Control Theory with Communication or Information Theory. The data rate constraint introduces quantization into the feedback loop whereas the communication or computational model induces discrete events which are no more periodic. These two phenomena give the NECS a twofold nature : continuous and discrete, and render them specific. In this thesis we analyze the stability and performance of NECS from Informationtheoretic point of view. For linear systems, we show how fundamental are the tradeoffs between the communication-rate and control goals, such as stability, controllability / observability and performances. An integrated approach of control and communication (in terms of Shannon Information Rate) of NECS or distributed embedded control systems is studied. The main results are as follows : We showed that the entropy reduction which is same as uncertainty reduction is dependent on Controllability Gramian only. It is also related to Shannon Mutual-Information. We demonstrated that the gramian of controllability constitutes a metric of information theoretic entropy with respect to the noises induced by quantization. Reduction of these noises is equivalent to the design methods proposing a reduction of the controllability gramian norm. We established a new relation of Fisher Information Matrix (FIM) and Controllability Gramian (CG) based on estimation-theoretic and information-theoretic explanations. We propose an algorithm which optimally distributes the network capacity between a number "n" of competing actuators. The metric of this distribution is the Controllability Gramian
Investigation of the Effect of Indoor Airflow on Separation of Coronavirus from Ambient Contaminated Surfaces

Investigation of the Effect of Indoor Airflow on Separation of Coronavirus from Ambient Contaminated Surfaces. Biomed J Sci & Tech in the environment. This study focuses on the physical factors, specifically how indoor air flow influences the separation of viruses from the contaminated surfaces. Common building surfaces were modelled into two configurations of flat and cylindrical shapes. The finite difference method was utilized to numerically model the formation of laminar boundary layers, applied drag forces, and wall shear, which were resulted from five free stream velocities of airflows. The assessment of the indoor air potential for moving viruses is captured based on the comparison of adhesion force between the virus and solid surfaces and applied shear and drag forces on the viruses. Results are presented for both plain and rough surfaces. The effect of the roughness was considered for three different materials including glass, steel, and wood. Rough surfaces were modeled for a worst-case scenario of vulnerability of viruses against the airflow, in which an isolated virus exposed to the airflow on the bumps with a height equal to the mean roughness values. The results show that in most cases, the adhesion force of the virus to the surface is noticeably greater compared to the drag force caused by the airflow and it is very unlikely that the indoor air flow splits the viruses from the surface. The exception applies to the very unlikely high velocities (above 5 ms-1) on the edge of the flat surfaces, or at the specific angles (50°≤Φ≤51°) of the cylindrical model.
Introduction to Quantum Information Processing

The topic of these lectures lies in the new and rapidly growing ﬁeld of quantum computing,which explores connections between physics and computing in general. Quantum informa-tion processing is a cross-disciplinary ﬁeld and is of great importance from both a funda-mental, as well as technological perspective [27]. From the fundamental perspective we havedeepened our understanding of the relationship between physics, information and computa-tion in general, and have also gained a deeper understanding of the fundamental aspects ofquantum theory - non-locality and entanglement in particular [31]. From the technologicalperspective we have manipulated larger and larger quantum systems and obtained power-ful practical applications in the domain of communication and cryptography such as theunconditionally secure quantum cryptography (key exchange) and quantum teleportation[7, 14, 5]. Historically, the greater potential of the quantum computer was ﬁrst realised by Feyn-man, who noted that quantum systems appear to be exponentially hard to simulate withclassical computers [15]. He speculated that, therefore, quantum computers could poten-tially be much more powerful than their classical counterparts. This intuition has beenproven to be correct for some tasks, such as factoring large numbers and searching unstruc-tured databases. Every computer is fundamentally a physical system, and any computationis just a physical process undergone by this system. Quantum physics is the most accurateway of describing physical systems and their behaviour in general. Encoding informationinto quantum systems and processing it according to the laws of quantum physics results innew features which do not exist in the classical computation.Large scale quantum computation is still hypothetical. However, Moore’s law
HESPERETIN AMELIORATES ISOPROTERENOL INDUCED CARDIAC HYPERTROPHY: ROLE OF NFΚB PATHWAY

Latest epidemiological data has revealed that cardiac hypertrophy is a major predictor of heart failure, with a mortality as high as 80% for men and 70% for women within 8 years. Therefore, it is inevitable to develop therapeutic strategies that aim at modulating the hypertrophic remodeling of the heart by modulating inflammatory pathways. Cardiac hypertrophy was induced by subcutaneous injections of isoproterenol (5 mg/kg body weight) for seven days. Rats were pre-treated with hesperetin 30mg/kg body weight suspended in 0.5% methyl cellulose orally for 30 days. The HW/BW ratio, fetal gene expression and macromolecular damage were found to be increased in the isoproterenol administered rats, whereas, hesperetin treated rats showed a decline in the HW/BW ratio and fetal gene expression. The protein expression of inflammatory marker NF-κB was found to be decreased in the hesperetin treated rats when compared to the isoproterenol administered rats. This study suggests NF-κB as a potential target for anti-inflammatory therapy for cardiac hypertrophy and hesperetin modulated NF-κB expression, it therefore could be useful as an anti-inflammatory agent against cardiac hypertrophy.