Miracle-dz/UniFAR-FTUs huggingface dataset:
An anti-windup-based solution for the low current nonlinearity compensation on the FTU horizontal position controller

In this paper we focus on the nonlinear behavior of the F coil current amplifier at the Frascati Tokamak Upgrade (FTU), which induces closed-loop instability of the horizontal position stabilizing loop whenever the requested current is below a minimum current level. In the paper we first illustrate a modeling phase where nonlinear dynamics are derived and identified to reproduce the open-loop responses measured by the F coil current amplifier. Based on this dynamic model, we then reproduce the closed-loop scenario of the experiment and show that the proposed nonlinear model successfully reproduces the instabilities experienced in the experimental sessions. Next we propose a nonlinear control solution to this instability problem inspired by the so-called anti-windup paradigm. We report on experiments carried out at FTU, testing two versions of the anti-windup solution differing in terms of performance and robustness.
Factors Contributing to the Effectiveness of Four School-Based Sexual Violence Interventions

This study extends past research by examining factors associated with changes in attitudes, knowledge, and intended behaviors related to sexual assault. This study included 1,182 participants from four unique multiple-session school-based sexual violence interventions. Implementation and participant factors examined include single- versus mixed-gender groups, group setting versus classroom lecture setting, and participant gender. Participants completed self-administered, paper-and-pencil pre- and postsurveys. A significant desired overall effect was found on participants' reports of positive attitudes, beliefs, and behavior regarding sexual harassment and personal boundaries and positive dating relationship norms (from pretest to posttest). There were steeper increases over time in both measures, with larger mixed-gender/single-gender differences among boys than among girls. Differences in the impact of participating in mixed- versus single-gender groups depended on classroom versus small group settings. The implications of these findings are discussed for sexual assault prevention programs.
Update on Hydrogen Production Hydrogen Production . Green Algae as a Source of Energy 1

Hydrogen gas is thought to be the ideal fuel for a world in which air pollution has been alleviated, global warming has been arrested, and the environment has been protected in an economically sustainable manner. Hydrogen and electricity could team to provide attractive options in transportation and power generation. Interconversion between these two forms of energy suggests on-site utilization of hydrogen to generate electricity, with the electrical power grid serving in energy transportation, distribution utilization, and hydrogen regeneration as needed. A challenging problem in establishing H2 as a source of energy for the future is the renewable and environmentally friendly generation of large quantities of H2 gas. Thus, processes that are presently conceptual in nature, or at a developmental stage in the laboratory, need to be encouraged, tested for feasibility, and otherwise applied toward commercialization.
Drivers of Entrepreneurship and Post-Entry Performance of Newborn Firms in Developing Countries

The aim of this paper is to provide an updated survey of the "state of the art" in entrepreneurial studies, with a particular focus on developing countries (DCs). In particular, the same concept of "entrepreneurship" will be critically discussed, then moving to the institutional, macroeconomic and microeconomic conditions affecting the entry of new firms and the post-entry performance of newborn firms.
Social Validity of Evidence-Based Practices and Emerging Interventions in Autism

Although social validation of the goals, methods, and outcomes of evidence-based practices (EBPs) in autism treatment is a significant factor in their selection and effective use, EBPs are typically identified on the basis of the technical soundness of research without consideration of social validity. The authors investigated EBPs and emerging treatments identified by the National Autism Center (NAC) and National Professional Development Center on Autism Spectrum Disorders (NPDC) to determine which interventions have evidence of social validity, and the types of social validation addressed. A review of 828 articles cited by the NAC and NPDC determined that only 221 articles (26.7%) demonstrated direct evidence of the measurement of social validation. Of seven social validity categories analyzed, only consumer satisfaction, clinically significant behavioral change, and socially important dependent variables were consistently reported. A list of EBPs with varying levels of social and empirical validation is presented, and implications for future research are discussed.
A starting-time-based approach to production scheduling with Particle Swarm Optimization

This paper provides a generic formulation for the complex scheduling problems of Optimatix, a South African company specializing in supply chain optimization. To address the complex requirements of the proposed problem, various additional constraints were added to the classical job shop scheduling problem. These include production downtime, scheduled maintenance, machine breakdowns, sequence-dependent set-up times, release dates and multiple predecessors per job. Differentiation between primary resources (machines) and auxiliary resources (labour, tools and jigs) were also achieved. Furthermore, this paper applies particle swarm optimization (PSO), a stochastic population based optimization technique originating from the study of social behavior of birds and fish, to the proposed problem. Apart from the significance of the paper in that the proposed problem has not been addressed before, the benefit of an improved production schedule can be generalized to include cost reduction, customer satisfaction, improved profitability and overall competitive advantage
The deep structure of organizational online networking – an actor‐oriented case study

While research on organizational online networking recently increased significantly, most studies adopt quantitative research designs with a focus on the consequences of social network configurations. Very limited attention is paid to comprehensive theoretical conceptions of the complex phenomenon of organizational online networking. We address this gap by adopting a theoretical framework of the deep structure of organizational online networking with a focus on their emerging meaning for the employees. We apply and assess the framework in a qualitative case study of a large‐scale implementation of a corporate social network site (SNS) in a global organization. We reveal organizational online networking as a multi‐dimensional phenomenon with multiplex relationships that are unbalanced, primarily consist of weak ties and are subject to temporal change. Further, we identify discourse drivers and information retrievers as two mutually interdependent actor roles as an explanation for uneven levels of user contributions to the SNS. Based on our analysis, we elicit abstract order principles, such as topical discourses, and identify transactive memory theory as a potent explanation of the evolving interaction structures. We finally discuss how the deep structure framework can contribute to future research on organizational networks.
On coordinating pervasive persuasive agents

There is a growing interest in applying multiagent systems for smart-home environment supporting self-caring elderly. In this paper we investigate situations and conditions for coordination for such kind of system. We specify a high level architecture of it based on the notions of beliefs, desires, and intentions for both individual and group behavior of the agents including the human occupant's. The framework enables flexible coordinations among loosely-coupled heterogeneous agents that converse with the user. This work is conducted towards producing a coordination framework for agents and people in such a kind of smart-home environment as mentioned.
Neural Network Capacity for Multilevel Inputs

This paper examines the memory capacity of generalized neural networks. Hopfield networks trained with a variety of learning techniques are investigated for their capacity both for binary and non-binary alphabets. It is shown that the capacity can be much increased when multilevel inputs are used. New learning strategies are proposed to increase Hopfield network capacity, and the scalability of these methods is also examined in respect to size of the network. The ability to recall entire patterns from stimulation of a single neuron is examined for the increased capacity networks.
Observed increases in Bering Strait oceanic fluxes from the Pacific to the Arctic from 2001 to 2011 and their impacts on the Arctic Ocean water column

Mooring data indicate the Bering Strait throughflow increases ∼50% from 2001 (∼0.7 Sv) to 2011 (∼1.1 Sv), driving heat and freshwater flux increases. Increase in the Pacific‐Arctic pressure‐head explains two‐thirds of the change, the rest being attributable to weaker local winds. The 2011 heat flux (∼5 × 1020J) approaches the previous record high (2007) due to transport increases and warmer lower layer (LL) temperatures, despite surface temperature (SST) cooling. In the last decade, warmer LL waters arrive earlier (1.6 ± 1.1 days/yr), though winds and SST are typical for recent decades. Maximum summer salinities, likely set in the Bering Sea, remain remarkably constant (∼33.1 psu) over the decade, elucidating the stable salinity of the western Arctic cold halocline. Despite this, freshwater flux variability (strongly driven by transport) exceeds variability in other Arctic freshwater sources. Remote data (winds, SST) prove insufficient for quantifying variability, indicating interannual change can still only be assessed by in situ year‐round measurements.
Semantic role annotation : From verb-specific roles to generalized semantic roles

This paper aims to present the semantic role annotation carried out on the ADESSE project, an online database with syntactic and semantic information for all the verbs and clauses in a corpus of Spanish. In ADESSE, several subsets of semantic roles have been taken into account, interrelated through different levels of generalization.
RIBOSOME-MEMBRANE INTERACTION

In a medium of high ionic strength, rat liver rough microsomes can be nondestructively disassembled into ribosomes and stripped membranes if nascent polypeptides are discharged from the bound ribosomes by reaction with puromycin. At 750 mM KCl, 5 mM MgCl2, 50 mM Tris·HCl, pH 7 5, up to 85% of all bound ribosomes are released from the membranes after incubation at room temperature with 1 mM puromycin. The ribosomes are released as subunits which are active in peptide synthesis if programmed with polyuridylic acid. The ribosome-denuded, or stripped, rough microsomes (RM) can be recovered as intact, essentially unaltered membranous vesicles Judging from the incorporation of [3H]puromycin into hot acid-insoluble material and from the release of [3H]leucine-labeled nascent polypeptide chains from bound ribosomes, puromycin coupling occurs almost as well at low (25–100 mM) as at high (500–1000 mM) KCl concentrations. Since puromycin-dependent ribosome release only occurs at high ionic strength, it appears that ribosomes are bound to membranes via two types of interactions: a direct one between the membrane and the large ribosomal subunit (labile at high KCl concentration) and an indirect one in which the nascent chain anchors the ribosome to the membrane (puromycin labile). The nascent chains of ribosomes specifically released by puromycin remain tightly associated with the stripped membranes. Some membrane-bound ribosomes (up to 40%) can be nondestructively released in high ionic strength media without puromycin; these appear to consist of a mixture of inactive ribosomes and ribosomes containing relatively short nascent chains. A fraction (∼15%) of the bound ribosomes can only be released from membranes by exposure of RM to ionic conditions which cause extensive unfolding of ribosomal subunits, the nature and significance of these ribosomes is not clear.
Exponential Runge-Kutta Methods for Stiff Kinetic Equations

We introduce a class of exponential Runge-Kutta integration methods for kinetic equations. The methods are based on a decomposition of the collision operator into an equilibrium and a nonequilibrium part and are exact for relaxation operators of BGK type. For Boltzmann-type kinetic equations they work uniformly for a wide range of relaxation times and avoid the solution of nonlinear systems of equations even in stiff regimes. We give sufficient conditions in order that such methods are unconditionally asymptotically stable and asymptotic preserving. Such stability properties are essential to guarantee the correct asymptotic behavior for small relaxation times. The methods also offer favorable properties such as nonnegativity of the solution and entropy inequality. For this reason, as we will show, the methods are suitable both for deterministic as well as probabilistic numerical techniques.
C-Reactive Protein, the Metabolic Syndrome, and Risk of Incident Cardiovascular Events: An 8-Year Follow-Up of 14 719 Initially Healthy American Women

Background—The metabolic syndrome describes a high-risk population having 3 or more of the following clinical characteristics: upper-body obesity, hypertriglyceridemia, low HDL, hypertension, and abnormal glucose. All of these attributes, however, are associated with increased levels of C-reactive protein (CRP). Methods and Results—We evaluated interrelationships between CRP, the metabolic syndrome, and incident cardiovascular events among 14 719 apparently healthy women who were followed up for an 8-year period for myocardial infarction, stroke, coronary revascularization, or cardiovascular death; 24% of the cohort had the metabolic syndrome at study entry. At baseline, median CRP levels for those with 0, 1, 2, 3, 4, or 5 characteristics of the metabolic syndrome were 0.68, 1.09, 1.93, 3.01, 3.88, and 5.75 mg/L, respectively (Ptrend <0.0001). Over the 8-year follow-up, cardiovascular event-free survival rates based on CRP levels above or below 3.0 mg/L were similar to survival rates based on having 3 or more characteristics of the metabolic syndrome. At all levels of severity of the metabolic syndrome, however, CRP added prognostic information on subsequent risk. For example, among those with the metabolic syndrome at study entry, age-adjusted incidence rates of future cardiovascular events were 3.4 and 5.9 per 1000 person-years of exposure for those with baseline CRP levels less than or greater than 3.0 mg/L, respectively. Additive effects for CRP were also observed for those with 4 or 5 characteristics of the metabolic syndrome. The use of different definitions of the metabolic syndrome had minimal impact on these findings. Conclusions—These prospective data suggest that measurement of CRP adds clinically important prognostic information to the metabolic syndrome.
Macrophage activation during Plasmodium chabaudi AS infection in resistant C57BL/6 and susceptible A/J mice

Macrophage activation was examined in resistant C57BL/6 and susceptible A/J mice during the course of blood-stage infection with Plasmodium chabaudi AS. Three parameters of macrophage activation (lipopolysaccharide [LPS]- and malaria antigen-induced tumor necrosis factor [TNF] production in vitro, phorbol myristate acetate [PMA]-induced production of oxygen metabolites in vitro, and Ia antigen expression) were assessed during infection in populations of peritoneal and splenic macrophages recovered from infected mice of the two strains. The peak level of LPS-induced TNF production in vitro by splenic macrophages from both infected C57BL/6 and infected A/J mice occurred on day 7, which was 3 days before the peak of parasitemia. Although the kinetics of TNF production in vitro in response to either LPS, soluble malaria antigen, or intact parasitized erythrocytes varied in some of the other macrophage populations during infection, there was no significant difference in the peak level of production. Peritoneal and splenic macrophages from infected C57BL/6 mice exhibited significantly increased PMA-induced production of H2O2 in vitro on day 7. Peritoneal macrophages from infected A/J mice also exhibited significant PMA-induced H2O2 production on day 7, while production by splenic macrophages from these hosts was not increased in comparison with production by cells from normal animals. Only peritoneal macrophages from infected C57BL/6 mice produced significantly increased levels of O2-, and this occurred on day 7 postinfection. Ia antigen expression by both peritoneal and splenic macrophages from resistant C57BL/6 and susceptible A/J mice was significantly increased during P. chabaudi AS infection. However, the percentage of Ia+ peritoneal macrophages on days 8 and 10 postinfection and Ia+ splenic macrophages on day 3 postinfection was significantly higher in C57BL/6 than in A/J mice. Thus, these results demonstrate that macrophages from P. chabaudi AS-infected A/J mice exhibit defects in oxygen metabolism and Ia antigen expression which may contribute to the susceptibility of these hosts to this intraerythrocytic parasite. The cause-and-effect relationship between these defects and the susceptibility of A/J mice to P. chabaudi AS is unknown.
Real-time optimization of an active filter's performance

Recent advances in power electronics have meant that many loads now draw a distorted current from the power supply. For the same real power consumed, the apparent power for the distorted load is greater than the equivalent sinusoidal load. A real-time active filter optimization algorithm has been implemented in a TMS320C30 DSP, with the aim of maximizing the monetary saving from active filtering by reducing the apparent power consumed at the point of supply. As the basis for this optimization a savings function which takes into account active filter efficiency, the cost of energy, and the supply and load current distortion before and after filtering, has been derived. A simplex optimization technique, which is able to find the optimum operating point even under varying load conditions, is used to maximize these energy savings. >
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks

Popular User-Review Social Networks (URSNs)---such as Dianping, Yelp, and Amazon---are often the targets of reputation attacks in which fake reviews are posted in order to boost or diminish the ratings of listed products and services. These attacks often emanate from a collection of accounts, called Sybils, which are collectively managed by a group of real users. A new advanced scheme, which we term elite Sybil attacks, recruits organically highly-rated accounts to generate seemingly-trustworthy and realistic-looking reviews. These elite Sybil accounts taken together form a large-scale sparsely-knit Sybil network for which existing Sybil fake-review defense systems are unlikely to succeed. In this paper, we conduct the first study to define, characterize, and detect elite Sybil attacks. We show that contemporary elite Sybil attacks have a hybrid architecture, with the first tier recruiting elite Sybil workers and distributing tasks by Sybil organizers, and with the second tier posting fake reviews for profit by elite Sybil workers. We design ElsieDet, a three-stage Sybil detection scheme, which first separates out suspicious groups of users, then identifies the campaign windows, and finally identifies elite Sybil users participating in the campaigns. We perform a large-scale empirical study on ten million reviews from Dianping, by far the most popular URSN service in China. Our results show that reviews from elite Sybil users are more spread out temporally, craft more convincing reviews, and have higher filter bypass rates. We also measure the impact of Sybil campaigns on various industries (such as cinemas, hotels, restaurants) as well as chain stores, and demonstrate that monitoring elite Sybil users over time can provide valuable early alerts against Sybil campaigns.
Transductive Ranking on Graphs

In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or ordering over the object space. We consider the problem of learning such a ranking function in a transductive, graph-based setting, where the object space is finite and is represented as a graph in which vertices correspond to objects and edges encode similarities between objects. Building on recent developments in regularization theory for graphs and corresponding Laplacian-based learning methods, we develop an algorithmic framework for learning ranking functions on graphs. We derive generalization bounds for our algorithms in transductive models similar to those used to study other transductive learning problems, and give experimental evidence of the potential benefits of our framework.
Different apathy clinical profile and neural correlates in behavioral variant frontotemporal dementia and Alzheimer's disease

Apathy is one of the most common and disabling syndromes of dementia. Clinical apathy expression and neuroanatomical basis of apathy seem to differ between behavioral variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD), although evidence is scarce and poorly understood. Our main purposes were to compare the clinical apathy profile from patients with bvFTD and AD and analyze the relationship between apathy and brain metabolism measured using positron emission tomography imaging with 18F fluorodeoxyglucose (FDG‐PET).
Quantum model of space–charge-limited field emission in a nanogap

This paper presents a modified Thomas–Fermi-approximated quantum model for space–charge-limited field emission in a nanogap with metal electrodes, where the image-charge potential (including anode screening), direct tunnelling, space–charge effects and exchange–correlation effects of the tunnelling current are treated in a one-dimensional quantum model. It is found that the traditional Fowler–Nordheim (FN) law (even with the classical model of anode screening) is no longer valid in a nanogap of less than 10 nm. The smooth transition of our proposed model to the traditional FN law extended to large gap spacing is demonstrated. Application of the model to estimate the emission area of an experimental I–V curve in a nanogap is discussed.
Families of sequences with optimal Hamming-correlation properties

The unnormalized Hamming correlation between two sequences of equal length is the number of positions in which these sequences have identical symbols. In this paper, lower bounds on the out-of-phase autocorrelation and on the cross correlation of sequences of given length and alphabet size are derived. A method of constructing families of sequences that uniformly realize these hounds is presented.