Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear Performance of BAW Filters Including BST Capacitors

This paper evaluates the nonlinear effects occurring in a bulk acoustic wave (BAW) filter which in- cludes barium strontium titanate (BST) capacitors to can- cel the electrostatic capacitance of the BAW resonators. To do that we consider the nonlinear effects on the BAW reso- nators by use of a nonlinear Mason model. This model accounts for the distributed nonlinearities inherent in the materials forming the resonator. The whole filter is then implemented by properly connecting the resonators in a balanced configuration. Additional BST capacitors are included in the filter topology. The nonlinear behavior of the BST capacitors is also accounted in the overall nonlin- ear assessment. The whole circuit is then used to evaluate its nonlinear behavior. It is found that the nonlinear con- tribution arising from the ferroelectric nature of the BST capacitors makes it impractical to fulfill the linearity re- quirements of commercial filters.
Research on Security Public Opinion Based on Declining Value of Big Data

The development of big data makes social security more and more complicated. The popularization of big data, the immediacy of communication and the progress of technology make the social security situation facing new challenges. Maintaining social security should adapt to the development of the information era and take the initiative to use big data to build an efficient social security system is imperative. However, the main currently researches of big data just focusing on the technologies and methods, which lack of a study of its own cognition. In this paper, we study the value definition of big data and the law of diminishing value presented in the process of public opinion dissemination, which provide reference for social media monitoring under the background of big data.
Who Helps? Attitudes and Characteristics of Elderly Altruists.

The focus of this paper is on variables distinguishing elderly altruists from those engaging in lesser degrees of helping. Respondents were 400 persons aged 65-100; 200 were randomly chosen from the general community, and 200 from age-homogeneous apartment complexes. Study participants were classified as high helpers (altruists) vs. low helpers based on responses to altruism scales. Three stepwise discriminant function analyses were then performed to predict membership in the two helper groups--one for the entire sample, and one for each residential subsample. A general finding of the study was that those respondents categorized as altruists, in contrast to the less helpful elderly, expressed a high degree of willingness to incur costs or risks. In addition, elderly altruists are more likely than the less helpful elderly to perceive themselves as healthy, they possess personality/motivational characteristics associated with altruism in other age groups--including social responsibility and internal locus of control, and they appear to experience high degrees of psychosocial well-being. Results of the separate analyses indicated that the study variables accurately classified 87.9% of the cases for the totrl sample, 92.8% of the senior residents, and 83.4% of elderly respondents in the sample of independent livers. WHO HELPS? ATTITUDES AND CHARACTERISTICS OF ELDERLY ALTRUISTS. L'. Midlarsky, University of Detroit, Detroit, MI, and E. Kahana, Case Western Reserve University, Cleveland, OH.
J ul 2 01 3 Pure spinor superfields — an overview

Maximally supersymmetric theories do not allow off-shell superspace formulations with traditional superfields containing a finite set of auxiliary fields. It has become clear that off-shell supersymmetric action formulations of such models can be achieved by the introduction of pure spinors. In this talk, an overview of this formalism is given, with emphasis on D = 10 super-Yang–Mills theory and D = 11 supergravity. This a somewhat expanded version of a talk presented at the workshop “Breaking of supersymmetry and ultraviolet divergences in extended supergravity” (BUDS), Laboratori Nazionali di Frascati, March 25-28, 2013.
Relative effects of trustworthiness dimensions on retailer loyalty in a subsistence market : a quantitative study from Nairobi’s slum areas

The study aims to develop insight about the specific importance of trustworthiness dimensions (ability, integrity, benevolence) for retailer customer loyalty in a subsistence context characterized with high rates of corruption and crime, namely that of Nairobi’s informal settlements (slums). To our knowledge, this is the first study of the relative impact of trustworthiness dimensions on retailer loyalty in a subsistence market setting. Differences between serviceand product-oriented firms are also investigated. Despite low literacy rates, data was gathered from 566 face-to-face interviews in Nairobi’s informal settlements based on a quantitative questionnaire. Multiple regression and structural equations modeling are used to test effects. The findings show that trustworthiness, especially integrity and benevolence, of retailer business people are important factors in order to gain subsistence customers’ loyalty, also when perceived quality is controlled for. The effect of integrity is significantly larger than that of ability. Perceived quality partially mediates the effect of integrity on loyalty, and fully mediates the effect of ability, meaning ability only affects loyalty by increasing quality perceptions, while integrity affects loyalty both directly and through quality perceptions. Integrity is even more important in service-firms compared to in product-oriented firms. Limitations include that the measures should be developed further in order to measure the constructs clearer in this kind of context. More constructs from the marketing mix could be included, e.g. price/value. Replication with a different sample would be beneficial in order to generalize the effects. The findings indicate that integrity and benevolence are important factors that should be considered in future research modeling subsistence customers’ retailer loyalty. In practice, integrity and benevolence should be key focus areas in the training of entrepreneurs in subsistence markets. On the micro-level this can help retailers build loyal customers; on a higher level this can help communities reduce inequality and poverty.
Interday news-based prediction of stock prices and trading volume

This thesis investigates the predictive power of online news on one-day stock price up or down changes and high or low trade volume of 19 major banks and nancial institutions within the MSCI World Index, during the period from January 1 2009 to April 16 2015. The news data correspond to news articles, press releases, and stock exchange information, and were obtained by a web-crawler, which scanned around 6000 online sources for news and saved them in a database. The news are partitioned and labeled into two classes according to which price change class, or trade volume class, it corresponds. A supervised automated document classi cation model is created and used for prediction. The model does not succeed in predicting the one-day stock price changes, but the percentage of correctly labeled documents in the one-day trade volume experiment was 78:3%, i.e. a classi cation accuracy of 78:3% was achieved, suggesting that online news does contain some valuable predictive information.
The Use of Molecular and Imaging Biomarkers in Lung Cancer RiskPrediction

High-dimensional genomics, genetics and proteomics techniques have been widely used in cancer research for over two decades. Correspondingly, various genomic, genetic and proteomic signatures have been discovered in the cancer’s diagnosis, prognosis and prediction. For instance, over the last decade, considerable effort and resources have been devoted to characterize the genomic, genetic, and proteomic profiles of lung cancers [1-3]. These studies can enable us to have a deep understanding of the molecular heterogeneity of this disease and help create new therapeutic targets that will facilitate personalize targeted therapy. Now, as non-invasive medical image technologies are likely to become routine in screening high-risk populations, the use of imaging features may greatly assist the therapy guidance and the monitoring of development and progression of lung cancer and its response to treatment. Similar to other – omics technologies, radiomics refers to the high-throughput extraction and analysis of a large amount of quantitative features from advanced medical images with the assistance from compute science, and can provide a comprehensive quantification of the tumor phenotype [4-6].
An adaptive approach to zooming-based control for uncertain systems with input quantization

This paper establishes an adaptive tracking approach for linear systems with parametric uncertainties, when input measurements are quantized due to the presence of a communication network closing the control loop. In order to address the tracking problem, a novel dynamic quantizer with dynamic offset is introduced and embedded into an adaptive hybrid control strategy based on zooming mechanism. A Lyapunov-based approach is used to derive the adaptive adjustments for the control gains and for the dynamic range and dynamic offset of the quantizer: it is proven analytically that the proposed adjustments guarantee asymptotic state tracking. Quantized adaptive control of an electrohydraulic system is given as an example of the effectiveness of the designed control methodology.
Steady-State Modeling of the Refrigeration Unit for a Marine Refrigerated Container

The mathematical models of compressor, evaporator and condenser in a refrigerated container's refrigeration unit were established, which were used to form the whole system model for steady-state simulation according to the coupling relationship among them. The full- load performance of the refrigeration system was firstly deployed using the system model programmed in the MATLAB software. And the experimental performance tests were secondly carried out using a marine refrigerated container test rig. The errors between simulation results and experimental results are within 10%. Therefore the model has good simulation accuracy and could be used for the future energy-saving analysis of the marine refrigerated container.
Non-isobaric Thermal Instability

Multiphase media have very complex structure and evolution. Accurate numerical simulations are necessary to make advances in our understanding of this rich physics. Because simulations can capture both the linear and nonlinear evolution of perturbations with a relatively wide range of sizes, it is important to thoroughly understand the stability of condensation and acoustic modes between the two extreme wavelength limits of isobaric and isochoric instability as identified by Field. Partially motivated by a recent suggestion that large non-isobaric clouds can “shatter” into tiny cloudlets, we revisit the linear theory to survey all possible regimes of thermal instability. We uncover seven regimes in total, one of which allows three unstable condensation modes. Using the code Athena++, we determine the numerical requirements to properly evolve small amplitude perturbations of the entropy mode into the nonlinear regime. Our 1D numerical simulations demonstrate that for a typical AGN cooling function, the nonlinear evolution of a single eigenmode in an isobarically unstable plasma involves increasingly larger amplitude oscillations in cloud size, temperature, and density as the wavelength increases. Such oscillations are the hallmark behavior of non-isobaric multiphase gas dynamics and may be observable as correlations between changes in brightness and the associated periodic redshifts and blueshifts in systems that can be spatially resolved. Intriguingly, we discuss regimes and derive characteristic cloud sizes for which the saturation process giving rise to these oscillations can be so energetic that the cloud may indeed break apart. However, we dub this process “splattering” instead of “shattering,” as it is a different fragmentation mechanism that is triggered when the cloud suddenly “lands” on the stable cold branch of the equilibrium curve.
Humanoid robots for modelling and analysing visual gaze dynamics of pedestrians moving in urban space

: Improving our capacity to measure the sightlines and paths of pedestrians can assist with our understanding of complex spatial environments, which can in turn lead to improvements in urban design. However, in practice, the gaze direction of pedestrians is difficult to estimate due to high noise levels in video recordings coupled with the subtlety of gaze dynamics. In this paper robots are used to develop a pedestrian gaze analysis system that is suitable for urban environments. The present paper describes a model street scene that was set up within a laboratory where autonomous humanoid robots of approximately 55 cm in height were programmed to model the behaviour of human pedestrians. Experiments were conducted to collect a variety of data from overhead cameras, video cameras, and from the robot’s view through its internal camera as it traversed the model street, where it could become distracted by “visually attractive objects”. Overhead recordings were processed to obtain distracted and undistracted gaze signals which were analysed after filtering. Pilot experiments were performed for extracting 3D gaze vectors from video sequences using a manifold learning approach. An outline of the temporal behaviour analysis technique used on the obtained signals is also presented. This approach aims to improve the precision of pedestrian gaze analysis in real urban environments.
Controller Implementation for PV Interconnection Based Three-Phase UPS Systems Operating Under Highly Nonlinear Loads

In this paper we have multi functional converters to inter connect the both the dc and ac grids to handle power quality issues of the micro-grids. Multifunctional inverters can not only interface the renewable energy resource into the utility grid, but also can compensate the harmonic and reactive current in the micro-grid as an auxiliary service. Therefore, to enhance the power quality of the micro-grid by optimal utilization of the limited and valuable capacity becomes a technical challenge. In this paper, two optimal control objectives of MFGTIs are presented based on a comprehensive power quality evaluation algorithm by means of Analytic Hierarchy Process (AHP) theory. The two proposed strategies are analyzed about the powers and voltage and currents as results, and the paper also discusses how to use them in practice for the best performance. Simulation of proposed svpwm verifies the feasibility of the proposed optimal control strategies.
Imperfect Competition with Separating Exchange Markets

Obstfeld and Rogoff (1995) endeavour to investigate the international welfare spillovers with monopolistic competition and sticky output prices, yet in a unified exchange rate system. This paper applies their framework to the regime of dual exchange markets, generating plenty of results of policies. The particular contribution of this paper to the welfare effects of country sizes on policy lies in the cases of numerical simulations. The discussions of spillover effects, the current account dynamics, and imperfect competition to the separating exchange markets fill in the gaps on the literature. Then it takes a further step on open economy macroeconomics.
Keeping Time-Release Secrets through Smart Contracts

A time-release protocol enables one to send secrets into a future release time. The main technical challenge lies in incorporating timing control into the protocol, especially in the absence of a central trusted party. To leverage on the regular heartbeats emitted from decentralized blockchains, in this paper, we advocate an incentive-based approach that combines threshold secret sharing and blockchain based smart contract . In particular, the secret is split into shares and distributed to a set of incentivized participants, with the payment settlement contractualized and enforced by the autonomous smart contract. We highlight that such approach needs to achieve two goals: to reward honest participants who release their shares honestly after the release date (the “carrots”), and to punish premature leakage of the shares (the “sticks”). While it is not difficult to contractualize a carrot mechanism for punctual releases, it is not clear how to realise the stick. In the first place, it is not clear how to identify premature leakage. Our main idea is to encourage public vigilantism by incorporating an informer-bounty mechanism that pays bounty to any informer who can provide evidence of the leakage. The possibility of being punished constitute a deterrent to the misbehaviour of premature releases. Since various entities, including the owner, participants and the informers, might act maliciously for their own interests, there are many security requirements. In particular, to prevent a malicious owner from acting as the informer, the protocol must ensure that the owner does not know the distributed shares, which is counter-intuitive and not addressed by known techniques. We investigate various attack scenarios, and propose a secure and efficient protocol based on a combination of cryptographic primitives. Our technique could be of independent interest to other applications of threshold secret sharing in deterring sharing.
Short- and long-term outcomes in elderly patients with locally advanced non-small-cell lung cancer treated using video-assisted thoracic surgery lobectomy

Background In recent years, video-assisted thoracic surgery (VATS) lobectomy has been used to treat locally advanced non-small-cell lung cancer (LA-NSCLC). However, VATS has not been reported in elderly patients (≥70 years) with LA-NSCLC. The purpose of this study was to compare short- and long-term outcomes of patients with LA-NSCLC aged ≥70 years and 55–69 years treated with VATS. Patients and methods From January 2012 to January 2018, a total of 83 patients with LA-NSCLC who were ≥55 years of age underwent VATS. Patients were divided into ≥70 years group (37 cases) and 55–69 years group (46 cases), based on their age at the time of VATS. Short- and long-term outcomes of these two groups of patients were compared. Results American Society of Anesthesiologists scores of ≥70 years patients were higher than those of 55–69 years patients. No significant differences were observed when comparing the general preoperative data. For short-term outcomes, there was no significant difference between the two groups of patients in length of surgery, intraoperative blood loss, conversion to thoracotomy, postoperative 30-day complication rate and severity, postoperative 30-day mortality, pathological results, compliance with adjuvant chemotherapy, or other factors. Long-term follow-up results showed that recurrence, overall survival, and disease-free survival were similar in both groups. Furthermore, multivariate analysis showed that age was not an independent predictor of overall and disease-free survival. Conclusions VATS in elderly patients (≥70 years) with LA-NSCLC can result in short- and long-term outcomes similar to those of 55–69 years patients with LA-NSCLC.
Phytoplankton diversity and photosynthetic acclimation along a longitudinal transect through a shallow estuary in summer

Diversity, nutrients and irradiance acclimation of phytoplankton were investigated along a longitudinal transect through the shallow Darss-Zingst estuary (southern Baltic Sea). Sam- pling in the pelagial during a stable midsummer clear-sky period served to search for basic longitu- dinal patterns. Cyanobacteria dominated the phytoplankton biomass. The phytoplankton biomass in the innermost basins decreased with increasing proportions of mesotrophic Baltic Sea water. Individ- ual-based phytoplankton diversity reached maximum values at highly productive sites and was not inversely related to biomass concentration. Marked gradients of dissolved plant nutrients were not observed. Nutrient concentrations and element ratios suggested Redfield limitation by phosphorus. In contrast to element ratios in the particulate pool, dissolved iron concentrations indicated potential iron starvation at several sampling sites. The relatively high concentrations of non-reactive soluble phosphate at many sampling sites made chemical interactions of phosphates and iron probable. The availability of photosynthetically active radiation (PAR) limited the photic zone to a water depth of less than 2 m in highly productive areas, but a gradual acclimation response of phytoplankton to the longitudinal gradient in irradiance was undetectable. Significant correlations of chl a-normalised carotenoid content and saturation irradiance of photosynthesis (Ek) as well as chl a-normalised carotenoid content and daily incident PAR (sunrise to sampling time) suggest that high photon flux densities (PFDs) in midsummer clear-sky periods prevent effective photosynthetic acclimation of phytoplankton to average low irradiance availability in the turbid water columns. Low variable photosystem II fluorescence after dark incubation indicates inhibitory cross-effects of severe nutrient limitation and stress due to high PFDs at the water surface and/or high oxygen oversaturation in the pelagial. Thus, the photosynthetic machinery may be hampered under certain weather conditions, even in a highly eutrophicated estuary.
Genetic improvement of Gossypium arboreum L. using molecular markers: Status and development needs

The genus Gossypium has 45-50 species, of which only four (two allotetraploids and two diploids) enjoy the status of cultivated cotton. Among the four cultivated ones, Gossypium arboreum holds a special place because of the inherent ability to withstand drought, salinity and remarkable resistance to sucking pests and leaf curl virus. However, the species suffer with poor fiber quality traits, low yield and has certain undesirable plant and boll features. Improvement of fiber quality traits of G. arboreum, without disturbing its unique characteristics, has been a long sought after dream of scientists world over. For conservation, evaluation and documentation of existing accessions, gene banks of diploid cultivated cotton has been established by different countries, of which India holds the highest number of G. arboreum collections. Traditional breeding efforts made to improve fiber quality of G. arboreum have met with limited success due to paucity of polymorphic phenotypic markers and polygenic nature of the desired traits. Genetic engineering approach is highly genotype dependent and much success has not been achieved by this way also. Molecular breeding approach, based on the strength of breeding with high polymorphic nature of molecular markers, has yielded significant results in the improvement of G. arboreum. A number of molecular markers have been developed and used in various cotton improvement programs but dominantly these efforts have been made for the allotetraploid species G. hirsutum. Some efforts have been made for generating fingerprint database of G. arboreum germplasm, though much more efforts are needed in this direction. Linkage maps of G. arboreum have been generated using different markers systems which has enabled the mapping of gene/QTLs of desired traits on the chromosome of G. arboreum. More research inputs need to be devoted to produce consensus and saturated genomic maps, if the aim of ‘breeding by design’, by retaining suitable features and improving the undesirable ones, is to be realized for G. arboreum.
ShapeMate: A Virtual Tape Measure

We introduce ShapeMate, a framework for human body shape estimation and classification for on-line fashion applications. Given a single image of a subject our framework is able to simultaneously estimate detailed 3D human body shape and compute foreground segmentation with minimal user input. Once the body shape has been estimated, various semantic parameters are extracted for garment size and style recommendation. Preliminary results demonstrate that a single image holds enough information for accurate shape classification.