LLukas22/scidocs huggingface dataset:
A Novel 3-DOF Axial Hybrid Magnetic Bearing

In this paper, we propose a novel structure of permanent-magnet-biased axial hybrid magnetic bearing. It has four segments of poles to control three degrees of freedom (3-DOF). Based on the inner and outer air gaps in conventional axial magnetic bearings, a novel air gap, called the subsidiary air gap, is constructed between the permanent magnet and the stator poles. This air gap separates the bias flux paths from the control flux paths. As a result, lower power loss of the axial magnetic bearing can be achieved due to lower magnetic reluctance of the control flux paths. Furthermore, by means of the equivalent magnetic circuit method and the 3-D finite-element method (FEM), we analyze and model the 3-DOF axial hybrid magnetic bearing. Experimental results show that the presented axial magnetic bearing has good control performance and little coupling among X, Y, and Z directions. However, the rotational power loss will be large at high speed because of the alternating flux density in the thrust plate produced by four segments of stator poles. Therefore, we propose a novel stator, named the parallel-slot stator, and novel thrust plate to reduce the rotational power loss effectively, which is assembled by DT4 and nanocrystalline materials. Meanwhile, we have designed and assembled an axial hybrid magnetic bearing prototype with the novel stator and thrust plate, which is applied in the five-degrees-of-freedom reaction flywheel system with angular momentum of 15 Nms at 5000 r/min. It is validated by the experimental results.
A novel high step-up DC-DC converter with coupled-inductor

In this paper, a novel high step-up dc-dc converter with coupled-inductor is proposed. The proposed converter utilizes a coupled-inductor and a voltage doubler to achieve high step-up voltage gain. The voltage stress of power switch is reduced by a passive clamp circuit. Therefore, low resistance RDS(ON) of the main switch can be able to reduce conduction loss and the conversion efficiency is improved. The operating principle and steady-state analyses of voltage gain are discussed in detail. The experimental results show the voltage stresses of power source and diodes, the currents of leakage inductor, secondary-side of coupled inductor and diodes. Finally, a prototype circuit with 24-V input voltage, and 400-V output voltage, and 200-W output power is implemented in the laboratory to verify the performance.
The effect of pH, temperature, and organic solvents on the kinetic parameters of Escherichia coli alkaline phosphatase.

Abstract A study of the effect of pH on kinetic parameters of Escherichia coli alkaline phosphatase, in presence and in absence of organic solvents, has shown that a cationic acid group with a pK of 7.4 at 25.5° is implicated in catalysis and that a neutral acid group with a pK of 9.2 at 25.5° is involved in enzyme-substrate binding. From the change in pK with temperature, values of 6,500 and 11,000 cal per mole, respectively, have been calculated for the heats of ionization of these two groups. These data are consistent with the proposal that the imidazolium group of a histidine residue participates in catalysis, and that a water molecule coordinated to the zinc atom functions in enzyme-substrate binding.
Fake News: A Definition

Despite being a new term, ‘fake news’ has evolved rapidly. This paper argues that it should be reserved for cases of deliberate presentation of (typically) false or misleading claims as news, where these are misleading by design. The phrase ‘by design’ here refers to systemic features of the design of the sources and channels by which fake news propagates and, thereby, manipulates the audience’s cognitive processes. This prospective definition is then tested: first, by contrasting fake news with other forms of public disinformation; second, by considering whether it helps pinpoint conditions for the (recent) proliferation of fake news. Résumé: En dépit de son utilisation récente, l’expression «fausses nouvelles» a évolué rapidement. Cet article soutient qu'elle devrait être réservée aux présentations intentionnelles d’allégations (typiquement) fausses ou trompeuses comme si elles étaient des nouvelles véridiques et où elles sont faussées à dessein. L'expression «à dessein» fait ici référence à des caractéristiques systémiques de la conception des sources et des canaux par lesquels les fausses nouvelles se propagent et par conséquent, manipulent les processus cognitifs du public. Cette définition prospective est ensuite mise à l’épreuve: d'abord, en opposant les fausses nouvelles à d'autres formes de désinformation publique; deuxièmement, en examinant si elle aide à cerner les conditions de la prolifération (récente) de fausses nou-
Community structure and biogeography of shore fishes in the Gulf of Aqaba, Red Sea

Shore fish community structure off the Jordanian Red Sea coast was determined on fringing coral reefs and in a seagrass-dominated bay at 6 m and 12 m depths. A total of 198 fish species belonging to 121 genera and 43 families was recorded. Labridae and Pomacentridae dominated the ichthyofauna in terms of species richness and Pomacentridae were most abundant. Neither diversity nor species richness was correlated to depth. The abundance of fishes was higher at the deep reef slope, due to schooling planktivorous fishes. At 12 m depth abundance of fishes at the seagrass-dominated site was higher than on the coral reefs. Multivariate analysis demonstrated a strong influence on the fish assemblages by depth and benthic habitat. Fish species richness was positively correlated with hard substrate cover and habitat diversity. Abundance of corallivores was positively linked with live hard coral cover. The assemblages of fishes were different on the shallow reef slope, deep reef slope and seagrass meadows. An analysis of the fish fauna showed that the Gulf of Aqaba harbours a higher species richness than previously reported. The comparison with fish communities on other reefs around the Arabian Peninsula and Indian Ocean supported the recognition of an Arabian subprovince within the Indian Ocean. The affinity of the Arabian Gulf ichthyofauna to the Red Sea is not clear.
Role-Based Access Control ( RBAC ) : Features and Motivations

The central notion of Role-Based Access Control (RBAC) is that users do not have discretionary access to enterprise objects. Instead, access permissions are administratively associated with roles, and users are administratively made members of appropriate roles. This idea greatly simplifies management of authorization while providing an opportunity for great flexibility in specifying and enforcing enterprisespecific protection policies. Users can be made members of roles as determined by their responsibilities and qualifications and can be easily reassigned from one role to another without modifying the underlying access structure. Roles can be granted new permissions as new applications and actions are incorporated, and permissions can be revoked from roles as needed. Some users and vendors have recognized the potential benefits of RBAC without a precise definition of what RBAC constitutes. Some RBAC features have been implemented in commercial products without a frame of reference as to the functional makeup and virtues of RBAC [1]. This lack of definition makes it difficult for consumers to compare products and for vendors to get credit for the effectiveness of their products in addressing known security problems. To correct these deficiencies, a number of government sponsored research efforts are underway to define RBAC precisely in terms of its features and the benefits it affords. This research includes: surveys to better understand the security needs of commercial and government users [2], the development of a formal RBAC model, architecture, prototype, and demonstrations to validate its use and feasibility. As a result of these efforts, RBAC systems are now beginning to emerge. The purpose of this paper is to provide additional insight as to the motivations and functionality that might go behind the official RBAC name.
Second-Generation Antipsychotics and Extrapyramidal Adverse Effects

Antipsychotic-induced extrapyramidal adverse effects are well recognized in the context of first-generation antipsychotic drugs. However, the introduction of second-generation antipsychotics, with atypical mechanism of action, especially lower dopamine receptors affinity, was met with great expectations among clinicians regarding their potentially lower propensity to cause extrapyramidal syndrome. This review gives a brief summary of the recent literature relevant to second-generation antipsychotics and extrapyramidal syndrome. Numerous studies have examined the incidence and severity of extrapyramidal syndrome with first- and second-generation antipsychotics. The majority of these studies clearly indicate that extrapyramidal syndrome does occur with second-generation agents, though in lower rates in comparison with first generation. Risk factors are the choice of a particular second-generation agent (with clozapine carrying the lowest risk and risperidone the highest), high doses, history of previous extrapyramidal symptoms, and comorbidity. Also, in comparative studies, the choice of a first-generation comparator significantly influences the results. Extrapyramidal syndrome remains clinically important even in the era of second-generation antipsychotics. The incidence and severity of extrapyramidal syndrome differ amongst these antipsychotics, but the fact is that these drugs have not lived up to the expectation regarding their tolerability.
Vital role for cyclophilin B (CypB) in asexual development, dimorphic transition and virulence of Beauveria bassiana.

Cyclophilin B (CypB) was previously revealed as one of many putative secretory proteins in the transcriptome of Beauveria bassiana infection to a lepidopteran pest. Here we show a main localization of CypB in hyphal cell walls and septa and its essential role in the in vitro and in vivo asexual cycles of the fungal insect pathogen. Deletion of cypB reduced colony growth by 16-42% on two rich media and 30 scant media with different carbon or nitrogen sources. The deletion mutant suffered a delayed conidiation on a standard medium and a final 47% reduction in conidial yield, accompanied with drastic transcript depression of several key genes required for conidiation and conidial maturation. The mutant conidia required 10h longer to germinate 50% at optimal 25°C than wild-type conidia. Intriguingly, cultivation of the mutant conidia in a trehalose-peptone broth mimic to insect hemolymph resulted in 83% reduction in blastospore yield but only slight decrease in biomass level, indicating severe defects in transition of hyphae to blastospores. LT50 for the deletion mutant against Galleria mellonella larvae through normal cuticle infection was prolonged to 7.4d from a wild-type estimate of 4.7d. During colony growth, additionally, the deletion mutant displayed hypersensitivity to Congo red, menadione, H2O2 and heat shock but increased tolerance to cyclosporine A and rapamycin. All of changes were restored by targeted gene complementation. Altogether, CypB takes part in sustaining normal growth, aerial conidiation, conidial germination, dimorphic transition, stress tolerance and pathogenicity in B. bassiana.
Insects on plants: diversity of herbivore assemblages revisited

■ Abstract The diversity and composition of herbivore assemblages was a favored theme for community ecology in the 1970s and culminated in 1984 with Insects on Plants by Strong, Lawton and Southwood. We scrutinize findings since then, considering analyses of country-wide insect-host catalogs, field studies of local herbivore communities, and comparative studies at different spatial scales. Studies in tropical forests have advanced significantly and offer new insights into stratification and host specialization of herbivores. Comparative and long-term data sets are still scarce, which limits assessment of general patterns in herbivore richness and assemblage structure. Methods of community phylogenetic analysis, complex networks, spatial and among-host diversity partitioning, and metacommunity models represent promising approaches for future work.
Coordination practices within FLOSS development teams: The bug fixing process

Free/Libre Open Source Software (FLOSS) is primarily developed by distributed teams. Developers contribute from around the world and coordinate their activity almost exclusively by means of email and bulletin boards. FLOSS development teams some how profit from the advantages and evade the challenges of distributed software development. Despite the relevance of the FLOSS both for research and practice, few studies have investigated the work practices adopted by these development teams. In this paper we investigate the structure and the coordination practices adopted by development teams during the bug-fixing process, which is considered one of main areas of FLOSS project success. In particular, based on a codification of the messages recorded in the bug tracking system of four projects, we identify the accomplished tasks, the adopted coordination mechanisms, and the role undertaken by both the FLOSS development team and the FLOSS community. We conclude with suggestions for further research.
Improved Wi-Fi AP position estimation using regression based approach

This paper describes the improved Wi-Fi AP position estimation method for building more accurate Wi-Fi AP position DB in complex indoor signal propagation environment. One of our pro Fi AP by using indoor survey for higher Wi-Fi AP position accuracy. Our contribution focuses on the Wi-Fi AP position estimation method. In previous works, there were several methods for Wi-Fi AP position estimation by using such as weighted centroid localization (WCL), the trilateration using traditional signal propagation model etc. In case of WCL, the estimated Wi-Fi AP position depends on the amount and location of collecting points (CP) so that the Wi-Fi AP position accuracy can be poor in low DoP (Delusion of Precision) collecting environment, like the corner or edge of a building. Trilateration method can be more efficient than weighted centroid in case of low DoP collecting scenario but its method using the traditional path loss model is vulnerable to complex indoor area where lots of attenuation, reflection and refraction exist. To enhance Wi-Fi AP position accuracy in case of low DoP collecting environment, the Wi-Fi AP position estimation using Gaussian process regression (GPR) is proposed. Firstly, the Wi-Fi AP received signal strength (RSS) using GPR is predicted and analyzed whether it can be used to estimation Wi-Fi AP position. Next, the comparison of Wi-Fi AP position accuracy by using WCL with by using GPR/WCL is described. From the test result, we will show that the position accuracy of the proposed method will be better than using WCL.
What can we learn from the Caldwell plot

2) @ln(Q2/Q2 ) is consistent with the behaviour that one expects in pQCD. Screening corrections explain the enigma of the Caldwell plot.
A brief review of current scientific evidence involving aromatherapy use for nausea and vomiting.

OBJECTIVES
The objective of this study was to compile existing scientific evidence regarding the effects of essential oils (EOs) administered via inhalation for the alleviation of nausea and vomiting.


METHODS
CINAHL, PubMed, and EBSCO Host and Science Direct databases were searched for articles related to the use of EOs and/or aromatherapy for nausea and vomiting. Only articles using English as a language of publication were included. Eligible articles included all forms of evidence (nonexperimental, experimental, case report). Interventions were limited to the use of EOs by inhalation of their vapors to treat symptoms of nausea and vomiting in various conditions regardless of age group. Studies where the intervention did not utilize EOs or were concerned with only alcohol inhalation and trials that combined the use of aromatherapy with other treatments (massage, relaxations, or acupressure) were excluded.


RESULTS
Five (5) articles met the inclusion criteria encompassing trials with 328 respondents. Their results suggest that the inhaled vapor of peppermint or ginger essential oils not only reduced the incidence and severity of nausea and vomiting but also decreased antiemetic requirements and consequently improved patient satisfaction. However, a definitive conclusion could not be drawn due to methodological flaws in the existing research articles and an acute lack of additional research in this area.


CONCLUSIONS
The existing evidence is encouraging but yet not compelling. Hence, further well-designed large trials are needed before confirmation of EOs effectiveness in treating nausea and vomiting can be strongly substantiated.
The control volume radial basis function method CV-RBF with Richardson extrapolation in geochemical problems

The aim of this paper is to present how to implement a control volume approach improved by Hermite radial basis functions (CV-RBF) for geochemical problems. A multi-step strategy based on Richardson extrapolation is proposed as an alternative to the conventional dual step sequential non-iterative approach (SNIA) for coupling the transport equations with the chemical model. Additionally, this paper illustrates how to use PHREEQC to add geochemical reaction capabilities to CV-RBF transport methods. Several problems with different degrees of complexity were solved including cases of cation exchange, dissolution, dissociation, equilibrium and kinetics at different rates for mineral species. The results show that the solution and strategies presented here are effective and in good agreement with other methods presented in the literature for the same cases. & 2015 Elsevier Ltd. All rights reserved.
Reducing human effort and improving quality in peer code reviews using automatic static analysis and reviewer recommendation

Peer code review is a cost-effective software defect detection technique. Tool assisted code review is a form of peer code review, which can improve both quality and quantity of reviews. However, there is a significant amount of human effort involved even in tool based code reviews. Using static analysis tools, it is possible to reduce the human effort by automating the checks for coding standard violations and common defect patterns. Towards this goal, we propose a tool called Review Bot for the integration of automatic static analysis with the code review process. Review Bot uses output of multiple static analysis tools to publish reviews automatically. Through a user study, we show that integrating static analysis tools with code review process can improve the quality of code review. The developer feedback for a subset of comments from automatic reviews shows that the developers agree to fix 93% of all the automatically generated comments. There is only 14.71% of all the accepted comments which need improvements in terms of priority, comment message, etc. Another problem with tool assisted code review is the assignment of appropriate reviewers. Review Bot solves this problem by generating reviewer recommendations based on change history of source code lines. Our experimental results show that the recommendation accuracy is in the range of 60%-92%, which is significantly better than a comparable method based on file change history.
Inference in Generalized Additive Mixed Models

SUMMARY Generalized additive mixed models are proposed for overdispersed and correlated data, which arise frequently in studies involving clustered, hierarchical and spatial designs. This class of models allows for exible functional dependence of an outcome variable on covariates using nonparametric regression, while accounting for correlation among observations using random eeects. We estimate nonparametric functions using smoothing splines, and jointly estimate smoothing parameters and variance components using marginal quasi-likelihood. In view of numerical integration often required by maximizing the objective functions, double penalized quasi-likelihood is proposed to make approximate inference. Frequentist and Bayesian inferences are compared. A key feature of the proposed method is that it allows us to make systematic inference on all model components within a uniied parametric mixed model framework and can be easily implemented by tting a working generalized linear mixed model using existing statistical software. A bias correction procedure is also proposed to improve the performance of double penalized quasi-likelihood for sparse data. We illustrate the method with an application to infectious disease data and evaluate its performance through simulation.
The relation between fluid intelligence and self-regulatory depletion

Self-regulation depends on a limited resource that can be depleted temporarily, but little is known about how this resource relates to individual differences in cognitive ability. We investigated whether self-regulatory depletion would vary with individual differences in fluid intelligence (gF), a stable index of cognitive ability with ties to executive function. Participants performed an emotion regulation task varying in self-regulatory demand, followed by the Multi-Source Interference Task to assess depletion. On a separate day, participants completed Raven’s Advanced Progressive Matrices to assess gF. Emotion suppression led to impairment on the interference task, indicating self-regulatory depletion. Critically, higher gF was associated with greater depletion. Controlling for variables reflecting susceptibility to task demands and trait motivation did not influence this effect. The results have implications for theories of the relation between self-regulatory and cognitive abilities, and the mechanisms supporting the control of behaviour.