Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear Networks With Mem-Elements: Complex Dynamics via Flux–Charge Analysis Method

Nonlinear dynamic memory elements, as memristors, memcapacitors, and meminductors (also known as mem-elements), are of paramount importance in conceiving the neural networks, mem-computing machines, and reservoir computing systems with advanced computational primitives. This paper aims to develop a systematic methodology for analyzing complex dynamics in nonlinear networks with such emerging nanoscale mem-elements. The technique extends the flux–charge analysis method (FCAM) for nonlinear circuits with memristors to a broader class of nonlinear networks <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {\mathcal{ N}} $ </tex-math></inline-formula> containing also memcapacitors and meminductors. After deriving the constitutive relation and equivalent circuit in the flux–charge domain of each two-terminal element in <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {\mathcal{ N}} $ </tex-math></inline-formula>, this paper focuses on relevant subclasses of <inline-formula> <tex-math notation="LaTeX">$\boldsymbol {\mathcal{ N}} $ </tex-math></inline-formula> for which a state equation description can be obtained. On this basis, salient features of the dynamics are highlighted and studied analytically: 1) the presence of invariant manifolds in the autonomous networks; 2) the coexistence of infinitely many different reduced-order dynamics on manifolds; and 3) the presence of bifurcations due to changing the initial conditions for a fixed set of parameters (also known as bifurcations without parameters). Analytic formulas are also given to design nonautonomous networks subject to pulses that drive trajectories through different manifolds and nonlinear reduced-order dynamics. The results, in this paper, provide a method for a comprehensive understanding of complex dynamical features and computational capabilities in nonlinear networks with mem-elements, which is fundamental for a holistic approach in neuromorphic systems with such emerging nanoscale devices.
A-level mathematics in an information age

Since the time of Gutenberg the volume of printed information has been doubling roughly every fifteen years. Only relatively recently, however, has the growth of knowledge reached a point at which it challenges human intellectual capacity. Our society has responded by a progressive specialisation of intellectual roles. Very broadly, the nineteenth century saw the development of specialism in distinct fields; the twentieth, the growth of specialism within those fields. To take just mathematics, it has been estimated that, after allowing for redundancy, our present knowledge fills the equivalent of something of the order of 60 thousand average-sized volumes. While at the start of this century, according to Ostrowski, it was expected that a mathematics graduate would be prepared to deal with any question in any branch of mathematics, by mid century Von Neumann was estimating that a skilled mathematician might be familiar with some 10% of the whole field.
ECE 543 Project Report : Regret Minimization for News Dissemination

In this report, we study the problem of disseminating a fresh news content, whose topic is yet unknown, to all interested users. The goal is to learn the real topic of a news content from the users’ feedback, while spamming a minimum number of uninterested numbers. This problem can be formulated as an online stochastic optimization problem. One of the simplest and most popular stochastic optimization methods is Stochastic Gradient Descent (SGD). In this report We establish a suitably defined regret measure of news dissemination event, and analyze performance under several stochastic learning algorithms including SGD, Averaged-SGD(ASGD). The result shows OoT  upper bound on training regret, and OlogT  upper bound on expected regret. We also use the training regret to bound of spamming loss caused by spamming event.
Lymphedema and Post-Operative Complications after Sentinel Lymph Node Biopsy versus Lymphadenectomy in Endometrial Carcinomas—A Systematic Review and Meta-Analysis

Background: Lymph node dissection (LND) is recommended as staging procedure in presumed low stage endometrial cancer. LND is associated with risk of lower-extremity lymphedema and post-operative complications. The sentinel lymph node (SLN) procedure has been shown to have high diagnostic accuracy, but its effects on complication risk has been little studied. This systematic review compares the risk of lower-extremity lymphedema and post-operative complications in SLN versus LND in patients with endometrial carcinoma. Methods: A systematic search was conducted in PubMed and Cochrane Library. Results: Seven retrospective and prospective studies (total n = 3046 patients) were included. Only three studies reported the odds ratio of lower-extremity lymphedema after SLN compared to LND, which was 0.05 (95% CI 0.01–0.37; p = 0.067), 0.07 (95% CI 0.00–1.21; p = 0.007) and 0.54 (95% CI 0.37–0.80; p = 0.002) in these studies. The pooled odds ratio of any post-operative complications after SLN versus LND was 0.52 (95% CI 0.36-0.73; I2 = 48%; p < 0.001). For severe post-operative complications the pooled odds ratio was 0.52 (95% CI 0.28–0.96; I2 = 0%; p = 0.04). Conclusions: There are strong indications that SLN results in a lower incidence of lower-extremity lymphedema and less often severe post-operative complications compared to LND. In spite of the paucity and heterogeneity of studies, direction of results was similar in all studies, supporting the aforementioned conclusion. These results support the increasing uptake of SLN procedures in endometrial cancer.
Hybrix: Experimental characterization of a micro-sandwich sheet

The development of new micro-sandwich sheets (i.e. two metallic skins separated by a composite core), which can be shaped by conventional sheet metal forming processes, became one of the most interesting materials and promising automotive applications in the past few years. However, due to the lack of understanding of certain fundamentals related with the mechanical behavior of micro-sandwich sheets during forming processes, the transfer and scale-up of this promising material to industry has been hindered. To overcome problems concerning the formability of these new materials and make the conventional sheet forming process more adapted, the experimental characterization of the micro-sandwich sheets is absolutely necessary. In this work, a new approach to experimentally characterize micro-sandwich sheets, with the mechanical properties of the core unknown, is presented. Firstly, for the characterization of stress-strain curves and anisotropy, uniaxial tensile tests in 3 different orientations with respect to rolling direction are performed on total micro-sandwich specimens and skin-only specimens. Secondly, the mechanical properties of the core are then deduced from micro-sandwich and skins’ mechanical properties, and the constitutive parameters established. Additionally, 5 different Nakazima geometries were punched according to ISO 12004 for formability assessment. Experimental Forming Limit Curves (FLC), punch forces and principal strain data were recorded during the tests using high resolution cameras and system GOM ARAMIS. Finally, the experimental mechanical tests were numerically reproduced. The systematic excellent agreement between numerical and experimental results is a good validation of the methodology proposed in the present work to identify the constitutive properties of the micro-sandwich materials. © 2016 Published by Elsevier B.V.
Global distribution of a key trophic guild contrasts with common latitudinal diversity patterns

Most hypotheses explaining the general gradient of higher diversity toward the equator are implicit or explicit about greater species packing in the tropics. However, global patterns of diversity within guilds, including trophic guilds (i.e., groups of organisms that use similar food resources), are poorly known. We explored global diversity patterns of a key trophic guild in stream ecosystems, the detritivore shredders. This was motivated by the fundamental ecological role of shredders as decomposers of leaf litter and by some records pointing to low shredder diversity and abundance in the tropics, which contrasts with diversity patterns of most major taxa for which broad-scale latitudinal patterns haven been examined. Given this evidence, we hypothesized that shredders are more abundant and diverse in temperate than in tropical streams, and that this pattern is related to the higher temperatures and lower availability of high-quality leaf litter in the tropics. Our comprehensive global survey (129 stream sites from 14 regions on six continents) corroborated the expected latitudinal pattern and showed that shredder distribution (abundance, diversity and assemblage composition) was explained by a combination of factors, including water temperature (some taxa were restricted to cool waters) and biogeography (some taxa were more diverse in particular biogeographic realms). In contrast to our hypothesis, shredder diversity was unrelated to leaf toughness, but it was inversely related to litter diversity. Our ﬁndings markedly contrast with global trends of diversity for most taxa, and with the general rule of higher consumer diversity at higher levels of resource diversity. Moreover, they highlight the emerging role of temperature in understanding global patterns of diversity, which is of great relevance in the face of projected global warming.
The Secure Transmission of Videos Using the Karhunen-Loéve (K-L) Decomposition and the Synchronization of the Unified Chaotic System with the Hyperchaotic Chen System

A unique secure communication scheme that can be used for the transmission of gray-scale and color videos is presented in this paper. The proposed scheme is developed by using the Karhunen-Loéve (K-L) decomposition and the synchronization of the unified chaotic system with the hyperchaotic Chen system. First, the gray-scale or color video is represented by a set of N frames. In order to reduce the data, the K-L decomposition is used to come up with data coefficients and eigenfunctions that optimally obtain the crux of the N frames. Using only the most energetic eigenfunctions to approximate the original frames results in computational savings. The data coefficients corresponding to the most energetic eigenfunctions are encrypted and transmitted using a master system composed of a combination of the unified chaotic system and the hyperchaotic Chen system. At the receiver end, these coefficients are recovered and a controller of the sliding mode type is utilized forcing the master and slave systems to synchronize. Simulation results illustrate how the proposed control law is able to synchronize the master and the slave systems. In addition, a demonstration of the recovery of the original frames using the decrypted data coefficients along with the eigenfunctions of the frame is provided. The presented simulations indicate that the proposed scheme results in an excellent performance.
Latent Representation Learning for Artificial Bandwidth Extension Using a Conditional Variational Auto-encoder

Artificial bandwidth extension (ABE) algorithms can improve speech quality when wideband devices are used with narrowband devices or infrastructure. Most ABE solutions employ some form of memory, implying high-dimensional feature representations that increase both latency and complexity. Dimensionality reduction techniques have thus been developed to preserve efficiency. These entail the extraction of compact, low-dimensional representations that are then used with a standard regression model to estimate high-band components. Previous work shows that some form of supervision is crucial to the optimisation of dimensionality reduction techniques for ABE. This paper reports the first application of conditional variational auto-encoders (CVAEs) for supervised dimensionality reduction specifically tailored to ABE. CVAEs, form of directed, graphical models, are exploited to model higher-dimensional log-spectral data to extract the latent narrowband representations. When compared to results obtained with alternative dimensionality reduction techniques, objective and subjective assessments show that the probabilistic latent representations learned with CVAEs produce bandwidth-extended speech signals of notably better quality.
Multidimensionality of Social Competence: Measurement of the Construct and its Relationship With Bullying Roles

The aims of this paper were twofold: to validate the Adolescent Multidimensional Social Competence Questionnaire (AMSC-Q) and to examine the social competence of those involved in bullying. The representative sample was composed of four thousand and forty seven (4047) Andalusian secondary school students (48.2% girls). Two measures were used: the AMSC-Q and the European Bullying Intervention Project Questionnaire (EBIPQ). The AMSC-Q measure yielding a five-factor structure (prosocial behaviour, social adjustment, normative adjustment, cognitive reappraisal and social efficacy) and revealed adequate reliability and validity. Victims presented greater prosocial behaviour and normative adjustment but low social adjustment and social efficacy. Bullies and bully victims demonstrated worse normative adjustment and less developed cognitive reappraisal but similar social adjustment and social efficacy. The social competence characteristics of those involved and non involved in bullying are discussed.
Cambridge Working Papers in Economics Does Inflation Slow Long-Run Growth in India ?

This paper examines the long-run relationship between consumer price index industrial workers (CPI-IW) ination and GDP growth in India. We collect data on a sample of 14 Indian states over the period 19892013, and use the cross-sectionally augmented distributed lag (CS-DL) approach of Chudik et al. (2013) as well as the standard panel ARDL method for estimation to account for cross-state heterogeneity and dependence, dynamics and feedback e¤ects. Our ndings suggest that, on average, there is a negative long-run relationship between ination and economic growth in India. We also nd statistically-signi cant ination-growth threshold e¤ects in the case of states with persistently-elevated ination rates of above 5.5 percent. This suggest the need for the Reserve Bank of India to balance the short-term growth-ination trade-o¤, in light of the long-term negative e¤ects on growth of persistently-high ination. JEL Classi cations: C23, E31, O40. Keywords: India, ination, growth, threshold e¤ects, cross-sectional heterogeneity and dependence. We are grateful to Rahul Anand, Paul Cashin, Chetan Ghate, Muneesh Kapur, Siddharth Kothari, and Rakesh Mohan as well as seminar participants at the IMF Asia and Paci c Department Discussion Forum and the Third Indian Statistical Institute Delhi Macroeconomics Workshop for constructive comments and suggestions. The views expressed in this paper are those of the authors and do not necessarily represent those of the International Monetary Fund or IMF policy. yCorresponding author. Email address: km418@cam.ac. uk.
Physical properties and chemical composition of the cores in the California molecular cloud

Aims. We aim to reveal the physical properties and chemical composition of the cores in the California molecular cloud (CMC), so as to better understand the initial conditions of star formation. Methods. We made a high-resolution column density map (18.2′′) with Herschel data, and extracted a complete sample of the cores in the CMC with the fellwalker algorithm. We performed new single-pointing observations of molecular lines near 90 GHz with the IRAM 30m telescope along the main filament of the CMC. In addition, we also performed a numerical modeling of chemical evolution for the cores under the physical conditions. Results. We extracted 300 cores, of which 33 are protostellar and 267 are starless cores. About 51% (137 of 267) of the starless cores are prestellar cores. Three cores have the potential to evolve into high-mass stars. The prestellar core mass function (CMF) can be well fit by a log-normal form. The high-mass end of the prestellar CMF shows a power-law form with an index α = −0.9 ± 0.1 that is shallower than that of the Galactic field stellar mass function. Combining the mass transformation efficiency (ε) from the prestellar core to the star of 15 ± 1% and the core formation efficiency (CFE) of 5.5%, we suggest an overall star formation efficiency of about 1% in the CMC. In the single-pointing observations with the IRAM 30m telescope, we find that 6 cores show blue-skewed profile, while 4 cores show red-skewed profile. [HCO+]/[HNC] and [HCO+]/[N2H+] in protostellar cores are higher than those in prestellar cores; this can be used as chemical clocks. The best-fit chemical age of the cores with line observations is ~5 × 104 yr.
Plasma Biomarkers Screening by Multiplex ELISA Assay in Patients with Advanced Non-Small Cell Lung Cancer Treated with Immune Checkpoint Inhibitors

Simple Summary There is an unmet need for new predictive biomarkers associated with efficacy and immune-related toxicity of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). In this study, we performed multiplex ELISA screening in plasma from 35 consecutive patients with advanced NSCLC treated with nivolumab or pembrolizumab, allowing large-scale screening for 48 cytokines involved in immune response and tumour proliferation. We found an association between ICIs efficacy and three cytokines: soluble hepatocyte growth factor (sHGF), soluble Fibroblast Growth Factor (sFGF) and interleukine-12 (IL-12). Moreover, TNF-α, IL-16, IL-12p40 and MCP3 were candidate biomarkers for predicting grade 3–4 immune-related toxicity. This exploratory study shows the potential role of new plasma biomarkers in advanced NSCLC treated with ICIs. Abstract Immune checkpoint inhibitors (ICIs) are commonly used in patients with advanced non-small cell lung cancer (NSCLC). An unmet need remains for new biomarkers associated with ICIs. In this study, consecutive patients with advanced NSCLC treated with nivolumab or pembrolizumab were included. Plasma at ICIs initiation was prospectively collected and a multiplex ELISA assay testing 48 cytokines and growth factors was performed. Exploratory endpoints were the association between plasma biomarkers with outcome and grade III–IV immune related adverse events (irAEs). Thirty-five patients were included. Patients without clinical benefit (n = 22) had higher pre-ICI soluble Hepatocyte Growth Factor (sHGF) (210.9 vs. 155.8 pg/mL, p = 0.010), lower pre-ICI soluble Fibroblast Growth Factor (sFGF) (4.0 vs. 4.8 pg/mL, p = 0.043) and lower pre-ICI interleukine-12 (IL-12) (1.3 vs. 2.2 pg/mL, p = 0.043) concentrations. Patients with early progression (n = 23) had higher pre-ICIs sHGF (206.2 vs. 155.8 pg/mL, p = 0.025) concentrations. Patients with low sHGF levels at ICIs initiation had longer progression-free survival and overall survival than those with high sHGF levels: respectively 2.5 vs. 8.0 months (p = 0.002), and 5.5 vs. 35.0 months (p = 0.001). TNF-α, IL-16, IL-12p40 and MCP3 were associated with high grade irAEs. This study shows the potential association between several plasma biomarkers with outcome and grade 3–4 IrAEs in advanced NSCLC treated with ICIs.
A logit model for the lay-up decision in the north sea Offshore rig market

The thesis examines the lay-up decision in the North Sea offshore rig market from 2010 through march 2017. Using empirical analysis, we have specified a logistic regression model to investigate how rig characteristics, firm size and market variables affect the decision to both coldand ready-stack a jackup or a semi-submersible rig. We find that that younger jackups with deep water depth owned by companies with multiple rigs in the North Sea, are less likely to be laid up. In a period with varying market conditions, a higher value of the rig characteristics variable deck load, quarters capacity and blow out preventer (BOP), as well as the specification severe environment, increase the probability of laying up a jackup. For semi-submersibles, we find that younger rigs with a higher value of max water depth and quarters capacity, equipped with self-propulsion, DP-3 system and classified for severe environment, were less likely to be laid up. While a higher value of variable deck load increased the likelihood of cold-stacking a semi-submersible. The regression results show that a higher day rate and expectations for a higher future oil price strongly decrease the likelihood for both jackups and semi-submersibles being laid up. The thesis supplements the existing literature of the offshore rig market. To our knowledge, no economical investigation regarding the lay-up decision have been carried out on the North Sea offshore rig market. This thesis therefore provides a basis for further research of this market. We hope the findings will be of interest for drilling operators when deciding which rig to send into lay-up. In addition, the findings may be of interest for brokers and banks when evaluating rig companies.
Evaluating The Effect of Marketing Activities On Relationship Quality In The Banking Sector: The case of private commercial Banks in Jordan.

The aim of the study was to investigate and evaluate the marketing activities and performance of relationship quality in bank setting. To analyze data collected from a random sample of 817 clients drawn from five private commercial banks in Jordan, the linear structural relationship (LISREL) model was used to identify structural characteristics of relationship management between the bank employees and clients. The empirical results of this study were fourfold. First, greater employees' relational and client orientation resulted in higher relationship quality. Second, better financial providers'(employees') attributes resulted in higher relationship quality. Third, higher relationship quality resulted in better relationship continuity. Fourth, committed client relationships resulted in client satisfaction, loyalty, positive word of mouth, and promotion. These in turn contributed to the enhancement of bank image.
Prosodic Noun Incorporation: The Relationship between Prosody and Argument Structure in Niuean

Spring 2019 President’s Award for Exemplary Public Engagement, University at Albany—Awarded to the Triqui Project for outstanding community-engaged research and public service Spring 2019 Drescher Award, University at Albany, SUNY—Dr. Nuala McGann Drescher Diversity and Inclusion Leave Program to prepare for permanent or continuing appointments 2015-2017 Declined: Mellon Fellowship of Scholars in the Humanities, Stanford University
High-Density Hydrogen Storage in a 2D-Matrix from Graphene Nanoblisters: A Prospective Nanomaterial for Environmentally Friendly Technologies

In this paper, the atomic structure and mechanical stability of a new structural graphene modification—a 2D matrix of nanoscale cells in the form of a few-layer graphene substrate and nanoblister of a graphene monolayer—were studied for the first time. It is shown that such matrices are mechanically stable and are promising for environmentally friendly technologies. The calculated local atomic stress fields demonstrate that the atomic framework is not destroyed, even in the presence of defects in the atomic network of graphene nanoblister (Stone-Wales defect, double vacancies defect, ad-dimmer defect, and their combination). However, it was established that the presence of one or more SW defects leads to the appearance of critical stresses. These critical stresses can induce local bond breaking in the atomic network with an increase in temperature or external pressure. It was found that graphene nanoblister can store molecular hydrogen with a maximum density of 6.6 wt % for 1158 m2/g at 77 K under normal pressure.