Miracle-dz/UniFAR-FTUs huggingface dataset:
Negative inductance circuits for metamaterial bandwidth enhancement

Passive metamaterials have yet to be translated into applications on a large scale due in large part to their limited bandwidth. To overcome this limitation many authors have suggested coupling metamaterials to non-Foster circuits. However, up to now, the number of convincing demonstrations based on non-Foster metamaterials has been very limited. This paper intends to clarify why progress has been so slow, i.e., the fundamental difficulty in making a truly broadband and efficient non-Foster metamaterial. To this end, we consider two families of metamaterials, namely Artificial Magnetic Media and Artificial Magnetic Conductors. In both cases, it turns out that bandwidth enhancement requires negative inductance with almost zero resistance. To estimate bandwidth enhancement with actual non-Foster circuits, we consider two classes of such circuits, namely Linvill and gyrator. The issue of stability being critical, both metamaterial families are studied with equivalent circuits that include advanced models of these non-Foster circuits. Conclusions are different for Artificial Magnetic Media coupled to Linvill circuits and Artificial Magnetic Conductors coupled to gyrator circuits. In the first case, requirements for bandwidth enhancement and stability are very hard to meet simultaneously whereas, in the second case, an adjustment of the transistor gain does significantly increase bandwidth.
Parental Expressed Emotion-Criticism and Neural Markers of Sustained Attention to Emotional Faces in Children

There is growing evidence for the role of environmental influences on children’s information-processing biases for affectively salient stimuli. The goal of this study was to extend this research by examining the relation between parental criticism (expressed emotion-criticism, or EE-Crit) and children’s processing of facial displays of emotion. Specifically, we examined the relation between EE-Crit and children’s sensitivity in detecting facial displays of emotion. We also examined a neural marker of sustained attention, the late positive potential (LPP) event-related potential component (ERP). Participants were 87 children (ages 7–11 years; 53.3% female, 77.8% Caucasian) and their parents (ages 24–71; 90% female, 88.9% Caucasian). Parents completed the Five-Minute Speech Sample to determine levels of EE-Crit toward their child. Children completed a morphed faces task during which behavioral and ERP responses were assessed. Although there were no group differences in sensitivity in detecting facial displays of emotion, we found that children of parents exhibiting high, compared to low, EE-Crit displayed less attention (smaller LPP magnitudes) to all facial displays of emotion (fearful, happy, sad). These results suggest that children of critical parents may exhibit an avoidant pattern of attention to affectively-salient interpersonal stimuli.
Compositional Equivalence with Actor Attributes: Positional Analysis of the Florentine Families Network

Abstract This paper extends Compositional Equivalence – which is a structural correspondence type intended for multiplex networks – by incorporating actor attributes in the modeling of the network relational structure as diagonal matrices. As an illustration, we construct the positional system of the Florentine families network with Business and Marriage ties together with relevant characteristics acquired from the actors such as the families’ financial Wealth and the number of Priorates they held. Different representations of the cumulated person hierarchies reveal that adding Wealth to the modeling provides a more accurate picture of what the substantial narrative says about this network.
A 100 kW 1.2 kV 20 kHz DC-DC converter prototype based on the Dual Active Bridge topology

This article presents the design, the fabrication, and the test of an isolated DC-DC converter for renewable energy applications. The converter is based on the Dual Active Bridge topology and uses silicon carbide power semiconductors and a medium frequency transformer. The design process covers hardware ranging from the semiconductor die to the complete power converter. For the control, a rapid prototyping approach was used. The experimental validation of the 100 kW prototype is presented.
Redfield revisited: variability of C:N:P in marine microalgae and its biochemical basis

A compilation of data on the elemental composition of marine phytoplankton from published studies was used to determine the range of C:N:P. The N:P ratio of algae and cyanobacteria is very plastic in nutrient-limited cells, ranging from <5 mol N:mol P when phosphate is available greatly in excess of nitrate or ammonium to <100 mol N:mol P when inorganic N is present greatly in excess of P. Under optimal nutrient-replete growth conditions, the cellular N:P ratio is somewhat more constrained, ranging from 5 to 19 mol N:mol P, with most observations below the Redfield ratio of 16. Limited data indicate that the critical N:P that marks the transition between N- and P-limitation of phytoplankton growth lies in the range 20–50 mol N:mol P, considerably in excess of the Redfield ratio. Biochemical composition can be used to constrain the critical N:P. Although the biochemical data do not preclude the critical N:P from being as high as 50, the typical biochemical composition of nutrient-replete algae and cyanobacteria suggests that the critical N:P is more likely to lie in the range between 15 and 30. Despite the observation that the overall average N:P composition of marine particulate matter closely approximates the Redfield ratio of 16, there are significant local variations with a range from 5 to 34. Consistent with the culture studies, lowest values of N:P are associated with nitrate- and phosphate-replete conditions. The highest values of N:P are observed in oligotrophic waters and are within the range of critical N:P observed in cultures, but are not so high as to necessarily invoke P-limitation. The C:N ratio is also plastic. The average C:N ratios of nutrientreplete phytoplankton cultures, oceanic particulate matter and inorganic N and C draw-down are slightly greater than the Redfield ratio of 6.6. Neither the analysis of laboratory C:N:P data nor a more theoretical approach based on the relative abundance of the major biochemical molecules in the phytoplankton can support the contention that the Redfield N:P reflects a physiological or biochemical constraint on the elemental composition of primary production.
Querying Wikimedia Images using Wikidata Facts

Despite its importance to the Web, multimedia content is often neglected when building and designing knowledge-bases: though descriptive metadata and links are often provided for images, video, etc., the multimedia content itself is often treated as opaque and is rarely analysed. IMGpedia is an effort to bring together the images of Wikimedia Commons (including visual information), and relevant knowledge-bases such as Wikidata and DBpedia. The result is a knowledge-base that incorporates similarity relations between the images based on visual descriptors, as well as links to the resources of Wikidata and DBpedia that relate to the image. Using the IMGpedia SPARQL endpoint, it is then possible to perform visuo-semantic queries, combining the semantic facts extracted from the external resources and the similarity relations of the images. This paper presents a new web interface to browse and explore the dataset of IMGpedia in a more friendly manner, as well as new visuo-semantic queries that can be answered using 6 million recently added links from IMGpedia to Wikidata. We also discuss future directions we foresee for the IMGpedia project.
Binding Analytics of Aptamers to Small Molecules determined by Microscale Thermophoresis Base Pair Biotechnologies

Introduction: Aptamer development has historically been limited to one-target at a time. Base Pair Biotechnologies has addressed this severe limitation by successfully multiplexing the conventional aptamer selection process. Our platform technology is a patent pending approach to aptamer discovery that allows us to offer de novo aptamer discovery services at unprecedented speed and throughput. Our expertise in aptamer and related assay development allows us to support our customers in a wide range of novel applications.
Proof-relevant Horn Clauses for Dependent Type Inference and Term Synthesis

Abstract First-order resolution has been used for type inference for many years, including in Hindley-Milner type inference, type-classes, and constrained data types. Dependent types are a new trend in functional languages. In this paper, we show that proof-relevant first-order resolution can play an important role in automating type inference and term synthesis for dependently typed languages. We propose a calculus that translates type inference and term synthesis problems in a dependently typed language to a logic program and a goal in the proof-relevant first-order Horn clause logic. The computed answer substitution and proof term then provide a solution to the given type inference and term synthesis problem. We prove the decidability and soundness of our method.
Servitization in Manufacturing Firms and Business Performance : A Systematic Literature

Broadening a firm’s offer beyond manufacturing has become a prevalent way of increasing performance and staying ahead of competition. It is important to derive clarity between the servitization and related constructs. Further, the relevance in servitization and business performance related constructs are not conclusive. This paper attempt to address above gaps in the literature. Authors have conducted a systematic review of the literature in the area of servitization of manufacturing. Through the systematic review, 350 abstracts were narrowed down and 115 articles were studied in full. Out of 115 articles 40 publications central to the study was identified and findings were reported according to a thematic analysis. Servitization is the strategy of service integration into the core business in manufacturing organizations in order to enhance the business performance and competitive position of the organization. Servitization of manufacturing tend to emphasize the potential to maintain business growth, profitability, differentiation, and competitive advantage.
A Study on Emotional Classification Algorithm using Vibraimage Technology

According to the growth of mechanical and technical development of IT technology, development of new technologies has been attempted by combining the human sensitivity into the existing technology. Particularly, studies to predict recognition based on the physiological signal sensitivity are performed actively. Signal quality of the direct contact sensor is accurate but it is inefficient to use, and the sensitivity measurement of physiological responses of human beings through contact sensing has environmental limitations such as the existing burden and uncomfortable feeling of wearing. Thus, techniques that can be detected by recognizing sensitivity in a free range are required to overcome these problems. In this study, the Vibraimage(vibration imaging) technology based on vestibulo-emotional reflex (VER) is trying to classify on the basis of the sensitivity of two-dimensional emotion model as the non-contact sensing technology. Russell"s emotional state model based on the pleasure, displeasure, arousal, relaxation was given as the emotional stimuli. In accordance with confirming the pattern of emotional changes through parameters acquired from the vibration imaging techniques, as a non-contact sensing technology, the Vibraimage technology contributes to the study of sensitive classification.
Pattern Division Multiple Access: A New Multiple Access Technology for 5G

The anticipated 1000-fold increase in mobile data traffic over the next decade and the explosion of new services and applications pose great challenges for the current orthogonal multiple access (OMA)-based 4G systems. A promising solution to address these challenges is to shift from the currently predominant OMA to non-orthogonal multiple access (NOMA). This article first introduces the principle of the complexity-constrained capacity-achieving NOMA design. Then a non-orthogonal pattern division multiple access (PDMA) scheme is proposed to meet the exponentially growing demand of mobile users for computing and information application services. The key feature of the PDMA scheme is a joint design of transmitter and receiver, which allows low-complexity successive interference cancellation (SIC)-based multi-user detection with substantially improved performance over conventional OMA schemes. More specifically, the patterns of multiple users are judiciously designed so that the data symbols of different users are of appropriate diversity disparity at the symbol level and power disparity at the resource element level. The appropriate disparity in diversity and power can be effectively exploited by the low-complexity SICbased detector to realize the near-perfect cancellation of multi-user interference. Moreover, the PDMA system parameters can be flexibly adjusted to provide different levels of overload, rendering it suitable to meet the diverse traffic requirements in future 5G systems. Link-level simulations illustrate that PDMA is capable of accommodating a 300 percent overload, while it still enjoys transmission reliability close to conventional OMA schemes. The results demonstrated in this article indicate that PDMA can be a promising multiple access technology with low signaling overhead, low latency, and massive connectivity support for 5G.
Why You Go Reveals Who You Know: Disclosing Social Relationship by Cooccurrence

The popularity of location-based services (LBS) and the ubiquity of sensor device have resulted in rich spatiotemporal data. A large number of human behaviors had been recorded including cooccurrence which refers to the phenomenon that two people have been to the same places at the same time. These data enable attackers to infer people’s social relationship based on their cooccurrences and many attack models were proposed. However, current attack models still cannot effectively address the following two challenges: How to distinguish cooccurrences between acquaintances and strangers? What kind of cooccurrence contributes to strong social strength? In this paper, we present a novel social relationship attack model—the Mobility Intention-based Relationship Inference (MIRI) model—which can solve the above two issues. Firstly, we extract mobility intentions and adopt them to characterize cooccurrences. A classification model is trained for attacking social relationship. The experimental results on two real-world datasets demonstrate that the proposed MIRI model can properly differentiate cooccurrences by simultaneously considering spatial and temporal features. The comparison results also indicate that MIRI model significantly outperforms state-of-the-art social relationship attack models.
TOWARDS THE DREAM OF AN INTELLIGENT , VISUALLY-GUIDED WHEELCHAIR

An important focus of research into smart wheelchairs aims to assist people living with physical disabilities and possibly without speech but with normal cognitive functioning, vision and audition. What is sought is a wheelchair that is intelligent, that can visually understand the world and will do precisely what its operator wants, without tedious and detailed user control. This dream has yet to be achieved [21].
Energy Harvesting for Remote Wireless Sensor Network Nodes

Wireless Sensor Network (WSN) technology is widely used for controlling and monitoring purposes. Advancement accomplished in the past era in wireless communications and microsystems have allowed the change of minor degree and least effort sensor nodes outfitted with remote correspondence abilities ready to manufacture a wireless WSN node. Each sensor node is ordinarily outfitted with one or a couple of detecting units, information preparing units, remote correspondence interface and battery. WSNs have discovered application in an extensive variety of various spaces like home and biomedical health monitoring. Providing continuous supply of energy to these nodes at remote locations is a major concern. The aim of this paper is to provide un-interrupted supply of energy to remote WSN nodes. Solar energy is expected to provide the required energy; however, photovoltaic (PV) based system are not able to operate at night. This may influence the operation of WSN nodes, rendering them useless for that instant. Several techniques have been proposed to provide satisfactory energy storage. However, the utilization of a suitable device to provide the required energy storage and operate WSN node for all day long is an open issue. A complete WSN node is developed for flood monitoring with sensing capacity along with energy harvesting using PV system and storage unit, which is able to harvest and store energy for un-interrupted operation of WSN node at remote sites.
Quantitative structure and activity relationship modeling study of anti-HIV-1 RT inhibitors: Genetic function approximation and density function theory methods

In the present work, quantitative structure activity relationship studies were performed to explore the structural and physicochemical requirements of 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine (HEPT) derivatives for anti- HIV activity. QSAR models have been developed using steric, electronic and thermodynamic descriptors. Statistical techniques like genetic function approximation-multiple linear regression (GFA-MLR) as the data preprocessing step were applied to identify the structural and physicochemical requirements for anti-HIV activity. The generated equations were statistically validated using leave-one-out technique and the best models were also subjected to leave-5-out cross-validation. The quality of fit and predictive ability of equations obtained from GFA-MLR is of acceptable statistical range (explained variance of 91.74%, while predicted variance of 74.14%). The robustness of the best models was checked by Y–randomization test and identified as good predictive models. The coefficient of ALogP, ATSm5 and CrippenLogP shows that the activity increases with increase in ALogP, ATSm5 and Crippen LogP of molecules. The coefficient of C2SP3, VPC-4, SsI, ETA_AlphaP, ETA_Epsilon_1, nAtomP, Petitjean Number and Wlambda2.unity shows that the activity decreases with increase in volume and Wlambda1.polar of the molecules is detrimental to activity. The information generated from the present study may be useful in the design of more potent HEPT derivatives as anti HIV agents.
Full in-frame exon 3 skipping of BRCA2 confers high risk of breast and/or ovarian cancer

Germline pathogenic variants in the BRCA2 gene are associated with a cumulative high risk of breast/ovarian cancer. Several BRCA2 variants result in complete loss of the exon-3 at the transcript level. The pathogenicity of these variants and the functional impact of loss of exon 3 have yet to be established. As a collaboration of the COVAR clinical trial group (France), and the ENIGMA consortium for investigating breast cancer gene variants, this study evaluated 8 BRCA2 variants resulting in complete deletion of exon 3. Clinical information for 39 families was gathered from Portugal, France, Denmark and Sweden. Multifactorial likelihood analyses were conducted using information from 293 patients, for 7 out of the 8 variants (including 6 intronic). For all variants combined the likelihood ratio in favor of causality was 4.39*1025. These results provide convincing evidence for the pathogenicity of all examined variants that lead to a total exon 3 skipping, and suggest that other variants that result in complete loss of exon 3 at the molecular level could be associated with a high risk of cancer comparable to that associated with classical pathogenic variants in BRCA1 or BRCA2 gene. In addition, our functional study shows, for the first time, that deletion of exon 3 impairs the ability of cells to survive upon Mitomycin-C treatment, supporting lack of function for the altered BRCA2 protein in these cells. Finally, this study demonstrates that any variant leading to expression of only BRCA2 delta-exon 3 will be associated with an increased risk of breast and ovarian cancer.
Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data

In this paper, we demonstrate an end-to-end spatiotemporal gesture learning approach for 3D point cloud data using a new gestures dataset of point clouds acquired from a 3D sensor. Nine classes of gestures were learned from gestures sample data. We mapped point cloud data into dense occupancy grids, then time steps of the occupancy grids are used as inputs into a 3D convolutional neural network which learns the spatiotemporal features in the data without explicit modeling of gesture dynamics. We also introduced a 3D region of interest jittering approach for point cloud data augmentation. This resulted in an increased classification accuracy of up to 10% when the augmented data is added to the original training data. The developed model is able to classify gestures from the dataset with 84.44% accuracy. We propose that point cloud data will be a more viable data type for scene understanding and motion recognition, as 3D sensors become ubiquitous in years to come.
Cardiovascular , Pulmonary and Renal Pathology Severity of Lung Injury in Cyclooxygenase-2-Deficient Mice Is Dependent on Reduced Prostaglandin E 2 Production

Levels of prostaglandin E2 (PGE2), a potent inhibitor of fibroblast function, are decreased in the lungs of patients with pulmonary fibrosis, which has been shown to be because of limited expression of cyclooxygenase-2 (COX-2). To further investigate the relative importance of COX-2 and PGE2 in the development of fibrosis we have used a selective COX-2 inhibitor and COX-2-deficient ( / and / ) mice in studies of bleomycin-induced lung fibrosis. We demonstrate in wild-type mice that bleomycin-induced lung PGE2 production is predominantly COX-2 mediated. Furthermore, COX-2 / mice show limited induction of PGE2 and an enhanced fibrotic response with increased lung collagen content compared with wild-type mice after bleomycin injury (P < 0.001). In contrast, COX-2 / mice show increased levels of lung PGE2, compared with wild-type mice after injury (P < 0.05), because of compensatory up-regulation of COX-1, which appears to be associated with macrophage/monocytes but not fibroblasts derived from these mice. COX-2 / mice show an enhanced and persistent inflammatory response to bleomycin, however the fibrotic response to injury was unaltered compared with wild-type animals. These data provide further direct evidence for the importance of up-regulating COX-2 and PGE2 expression in protecting against the development of fibrosis after lung injury. (Am J Pathol 2004, 165:1663–1676)