Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation and Analysis of Series Hybrid Electric Vehicle (SHEV) Based on ADVISOR

Based on the study of the different control methods of various hybrid electric vehicles, this paper proposes a control strategy employing power follower and thermostat. This strategy takes the battery SOC value and the engine output torque as the primary controlling factors, compiles its control status flow using Stateflow, and matches parameters of various components of the vehicle according to the design requirements. It then develops modeling and simulation on the ADVISOR simulation platform to obtain an optimal energy distribution control strategy. Simulation results indicate that using this control strategy can significantly improve the efficiency of the engine and make the battery work in the optimal condition.
Performance Analysis of Linear Precoding for Secure Multiuser MIMO Systems with a Multiple-Antenna Eavesdropper

In this paper, we investigate the secrecy performance of matched-filter (MF) and zero-forcing (ZF) precoding in a multiuser massive multiple-input multiple-output (MIMO) system with a multi-antenna passive eavesdropper. For the two precoding schemes, we find that the equivalent wiretap channels are similar and thus the eavesdropper achieves the approximate same sum-rate. Closed-form expressions of ergodic secrecy sum-rate (ESSR) are derived for the both schemes in the low and high signal-to-noise ratio (SNR) regimes. We show that a positive ESSR of MF scheme may be not achieved when the BS simultaneously serves more than two users with high transmit power, while the ESSR of ZF scheme always grows with the number of the served users. On the contrast, MF scheme is better than ZF scheme in the low SNR regime. Simulation results corroborate the analytic results.
Prototyping

Existing guidance for developing public health interventions does not provide information for 43 researchers about how to work with intervention providers to co-produce and prototype the 44 content and delivery of new interventions prior to evaluation. The ASSIST+Frank study 45 aimed to adapt an existing effective peer-led smoking prevention intervention (ASSIST), 46 integrating new content from the UK drug education resource Talk to Frank 47 (www.talktofrank.com) to co-produce two new school-based peer-led drug prevention 48 interventions. A three-stage framework was tested to adapt and develop intervention content 49 and delivery methods in collaboration with key stakeholders to facilitate implementation. 50 51 Methods 52 The three stages of the framework were: 1) Evidence review and stakeholder consultation; 2) Co-production; 3) Prototyping. During stage 1, six focus groups, 12 consultations, five interviews, and nine observations of intervention delivery were conducted with key 55 stakeholders (e.g. Public Health Wales [PHW] ASSIST delivery team, teachers, school students, health professionals). During stage 2, an intervention development group consisting 57 of members of the research team and the PHW ASSIST delivery team was established to adapt existing, and co-produce new, intervention activities. In stage 3, intervention training and content were iteratively prototyped using process data on fidelity and acceptability to key stakeholders. Stages 2 and 3 took the form of an action-research process involving a series of face-to-face meetings, email exchanges, observations, and training sessions. Utilising the three-stage framework, we co-produced and tested intervention content and 65 delivery methods for the two interventions over a period of 18 months involving external 66 partners. New and adapted intervention activities, as well as refinements in content, the 67 format of delivery, timing and sequencing of activities, and training manuals resulted from 68 this process. The involvement of intervention delivery staff, participants and teachers shaped 69 the content and format of the interventions, as well as supporting rapid prototyping in context 70 at the final stage. This three-stage framework extends current guidance on intervention development by providing step-by-step instructions for co-producing and prototyping an intervention’s content and delivery processes prior to piloting and formal evaluation. This framework enhances existing guidance and could be transferred to co-produce and prototype other public health interventions.
Comparison of SAR calculation algorithms for the finite-difference time-domain method

Finite-difference time-domain (FDTD) simulations of specific-absorption rate (SAR) have several uncertainty factors. For example, significantly varying SAR values may result from the use of different algorithms for determining the SAR from the FDTD electric field. The objective of this paper is to rigorously study the divergence of SAR values due to different SAR calculation algorithms and to examine if some SAR calculation algorithm should be preferred over others. For this purpose, numerical FDTD results are compared to analytical solutions in a one-dimensional layered model and a three-dimensional spherical object. Additionally, the implications of SAR calculation algorithms for dosimetry of anatomically realistic whole-body models are studied. The results show that the trapezium algorithm—based on the trapezium integration rule—is always conservative compared to the analytic solution, making it a good choice for worst-case exposure assessment. In contrast, the mid-ordinate algorithm—named after the mid-ordinate integration rule—usually underestimates the analytic SAR. The linear algorithm—which is approximately a weighted average of the two—seems to be the most accurate choice overall, typically giving the best fit with the shape of the analytic SAR distribution. For anatomically realistic models, the whole-body SAR difference between different algorithms is relatively independent of the used body model, incident direction and polarization of the plane wave. The main factors affecting the difference are cell size and frequency. The choice of the SAR calculation algorithm is an important simulation parameter in high-frequency FDTD SAR calculations, and it should be explained to allow intercomparison of the results between different studies.
Accuracy of the Alberta Stroke Program Early CT Score during the First 3 Hours of Middle Cerebral Artery Stroke: Comparison of Noncontrast CT, CT Angiography Source Images, and CT Perfusion

BACKGROUND AND PURPOSE: The Alberta Stroke Program Early CT Score (ASPECTS) is a reliable method of delineating the extent of middle cerebral artery (MCA) stroke. Our aim was to retrospectively compare the accuracy of ASPECTS on noncontrast CT, CT angiography (CTA) source images, and CT perfusion maps of cerebral blood volume (CBV) during the first 3 hours of middle cerebral artery (MCA) stroke. MATERIALS AND METHODS: First-time patients with MCA stroke who presented <3 hours from symptom onset and were evaluated by noncontrast CT/CTA/CT perfusion, had confirmed acute nonlacunar MCA infarct on diffusion-weighted MR imaging (DWI) within 7 days, and had follow-up angiography were included. Patients were excluded for persistent MCA occlusion or stenosis. Two raters through consensus assigned an ASPECTS on the noncontrast CT, CTA source images, and the section-selective (2 × 12 mm coverage) CT perfusion CBV maps. ASPECTS on follow-up DWI served as the reference standard. For each CT technique, the detection rates of regional infarction, the mean ASPECTS, and the linear correlation to final ASPECTS were determined and compared. P values <. 05 were considered significant. RESULTS: Twenty-eight patients satisfied the criteria with DWI performed at a mean of 50.3 hours (range, 22–125 hours) post-CT imaging. Of 280 ASPECTS regions, 100 were infarcted on DWI. The accuracy of noncontrast CT, CTA source images, and CT perfusion CBV for detecting regional infarct was 80.0%, 84.3%, and 96.8%, respectively (P < .0001). The mean ASPECTSs of noncontrast CT, CTA source images, CT perfusion CBV, and DWI were 8.4 ± 1.8, 8.0 ± 1.8, 6.8 ± 1.9, and 6.5 ± 1.8, respectively. The mean noncontrast CT and CTA source image ASPECTS was different from that of DWI (P < .05). Correlation of noncontrast CT, CTA source images, and CT perfusion CBV ASPECTS with final ASPECTS was r2 = 0.34, r2 = 0.42, and r2 = 0.91, respectively. CONCLUSION: In a retrospective cohort of MCA infarcts imaged <3 hours from stroke onset, ASPECTS was most accurately determined on CT perfusion CBV maps.
Peptide Mimics of the Group B Meningococcal Capsule Induce Bactericidal and Protective Antibodies after Immunization

Neisseria meningitidis serogroup B (MenB) is a leading cause of sepsis and meningitis in children. No vaccine is available for the prevention of these infections because the group B capsular polysaccharide (CP) (MenB CP) is unable to stimulate an immune response, due to its similarity with human polysialic acid. Because the MenB CP bears both human cross-reactive and non-cross-reactive determinants, we developed immunogenic peptide mimics of the latter epitopes. Peptides were selected from phage display libraries for their ability to bind to a protective anti-MenB CP mAb. One of these peptides (designated 9M) induced marked elevations in serum bactericidal activity, but not polysialic acid cross-reacting Abs, after gene priming followed by carrier-conjugate boosting. Moreover, the occurrence of bacteremia was prevented in infant rats by administration of immune sera before MenB challenge. 9M is a promising lead candidate for the development of an effective and affordable anti-MenB vaccine.
Non‐abusing mothers' support needs after child sexual abuse disclosure: A narrative review

The role of maternal support has been perceived as vital throughout the recovery process of sexually abused children. However, it is important to look at the concept “support” from the perspective of non-abusing mothers’ personal needs. This narrative review of the literature aimed to find out how non-abusing mothers’ need for support in their responses to disclosure of child sexual abuse has been recognised. A comprehensive search on XXX university library interface yielded 12 academic articles based on empirical research. These articles were selected from those considered to have sufficiently investigated support for non-abusing mothers and included a mixture of qualitative, quantitative and mixed-method research. The data consisted of peer-reviewed online articles published in English between 2000 and 2017. Four themes emerged from the thematic analysis: improving the quality of the whole social support network for non-abusing mothers; being blamed, maternal guilt and shame; anger; and coping strategies. The findings show that the support needs of non-abusing mothers are usually explained based on their interaction with sexually abused children. However, it is necessary to listen to women’s needs independently of their mothering role. If these mothers are better understood, not only they, but also their children, could be empowered.
Towards a unified solution: data record region detection and segmentation

Although the task of data record extraction from Web pages has been studied extensively, yet it fails to handle many pages due to their complexity in format or layout. In this paper, we propose a unified method to tackle this task by addressing several key issues in a uniform manner. A new search structure, named as Record Segmentation Tree (RST), is designed, and several efficient search pruning strategies on the RST structure are proposed to identify the records in a given Web page. Another characteristic of our method which is significantly different from previous works is that it can effectively handle complicated and challenging data record regions. It is achieved by generating subtree groups dynamically from the RST structure during the search process. Furthermore, instead of using string edit distance or tree edit distance, we propose a token-based edit distance which takes each DOM node as a basic unit in the cost calculation. Extensive experiments are conducted on four data sets, including flat, nested, and intertwine records. The experimental results demonstrate that our method achieves higher accuracy compared with three state-of-the-art methods.
Baicalein attenuates the quorum sensing-controlled virulence factors of Pseudomonas aeruginosa and relieves the inflammatory response in P. aeruginosa-infected macrophages by downregulating the MAPK and NFκB signal-transduction pathways

Burgeoning antibiotic resistance and unfavorable outcomes of inflammatory injury after Pseudomonas aeruginosa infection have necessitated the development of novel agents that not only target quorum sensing (QS) but also combat inflammatory injury with the least risk of resistance. This study aimed to assess the anti-QS and anti-inflammatory activities of baicalein, a traditional herbal medicine that is widely used in the People’s Republic of China, against P. aeruginosa infection. We found that subminimum inhibitory concentrations of baicalein efficiently interfered with the QS-signaling pathway of P. aeruginosa via downregulation of the transcription of QS-regulated genes and the translation of QS-signaling molecules. This interference resulted in the global attenuation of QS-controlled virulence factors, such as motility and biofilm formation, and the secretion into the culture supernatant of extracellular virulence factors, including pyocyanin, LasA protease, LasB elastase, and rhamnolipids. Moreover, we examined the anti-inflammatory activity of baicalein and its mode of action via a P. aeruginosa-infected macrophage model to address its therapeutic effect. Baicalein reduced the P. aeruginosa-induced secretion of the inflammatory cytokines IL-1β, IL-6, IL-8, and TNFα. In addition, baicalein suppressed P. aeruginosa-induced activation of the MAPK and NFκB signal-transduction pathways in cocultured macrophages; this may be the mechanism by which baicalein inhibits the production of proinflammatory cytokines. Therefore, our study demonstrates that baicalein represents a potential treatment for P. aeruginosa infection because it clearly exhibits both antibacterial and anti-inflammatory activities.
Stable spherical varieties and their moduli

We introduce a notion of stable spherical variety which includes the spherical varieties under a reductive group $G$ and their flat equivariant degenerations. Given any projective space $\bP$ where $G$ acts linearly, we construct a moduli space for stable spherical varieties over $\bP$, that is, pairs $(X,f)$, where $X$ is a stable spherical variety and $f : X \to \bP$ is a finite equivariant morphism. This space is projective, and its irreducible components are rational. It generalizes the moduli space of pairs $(X,D)$, where $X$ is a stable toric variety and $D$ is an effective ample Cartier divisor on $X$ which contains no orbit. The equivariant automorphism group of $\bP$ acts on our moduli space; the spherical varieties over $\bP$ and their stable limits form only finitely many orbits. A variant of this moduli space gives another view to the compactifications of quotients of thin Schubert cells constructed by Kapranov and Lafforgue.
Ex Vivo Response to Histone Deacetylase (HDAC) Inhibitors of the HIV Long Terminal Repeat (LTR) Derived from HIV-Infected Patients on Antiretroviral Therapy

Histone deacetylase inhibitors (HDACi) can induce human immunodeficiency virus (HIV) transcription from the HIV long terminal repeat (LTR). However, ex vivo and in vivo responses to HDACi are variable and the activity of HDACi in cells other than T-cells have not been well characterised. Here, we developed a novel assay to determine the activity of HDACi on patient-derived HIV LTRs in different cell types. HIV LTRs from integrated virus were amplified using triple-nested Alu-PCR from total memory CD4+ T-cells (CD45RO+) isolated from HIV-infected patients prior to and following suppressive antiretroviral therapy. NL4-3 or patient-derived HIV LTRs were cloned into the chromatin forming episomal vector pCEP4, and the effect of HDACi investigated in the astrocyte and epithelial cell lines SVG and HeLa, respectively. There were no significant differences in the sequence of the HIV LTRs isolated from CD4+ T-cells prior to and after 18 months of combination antiretroviral therapy (cART). We found that in both cell lines, the HDACi panobinostat, trichostatin A, vorinostat and entinostat activated patient-derived HIV LTRs to similar levels seen with NL4-3 and all patient derived isolates had similar sensitivity to maximum HDACi stimulation. We observed a marked difference in the maximum fold induction of luciferase by HDACi in HeLa and SVG, suggesting that the effect of HDACi may be influenced by the cellular environment. Finally, we observed significant synergy in activation of the LTR with vorinostat and the viral protein Tat. Together, our results suggest that the LTR sequence of integrated virus is not a major determinant of a functional response to an HDACi.
Robustness of blind subspace based techniques using ℓp quasi-norms

It has been very recently noted that it is possible to recover the blind channel estimate in case of channel order overmodeling by using ℓp quasi norms. But, to the best of our knowledge, there is, until now, no theoretical results that investigate this issue. In this paper, we propose to study the robustness of subspace blind methods using ℓp quasi-norms in the noiseless case and for nonsparse channels. More particularly, we provide conditions that ensures channel identifiability and study their frequency of occurence with respect to the system parameters.
Effects of recurrent subconcussive head impacts on balance control in contact-sport athletes

Background: Subconcussion, a mild traumatic brain injury, is best defined and identified by a lack of observable symptoms after axonal injury from minor head impacts. Subconcussive impacts are believed to accumulate with increased exposure over time, and are likely prodromal in the manifestation of a full-blown concussion. As evidenced by changes to changes in cerebral neurochemistry and structure, it is apparent that although individuals who have accumulated subconcussion may present as asymptomatic for motor and/or cognitive impairment using current clinical assessment tools, there is indication of long-term neurological damage which is presently going unrecognized. Objective: For the reasons stated above, a more sensitive and objective assessment tool is required to assess and recognize prodromal concussion manifestation in at risk populations with the intention of preventing further chronic sequelae. Design: Multiple baseline, time-series with repeated measures. Methods: Balance and bilateral reflex variability was assessed at pre-season and at post-season. Results: The current study identified significant changes to static balance postures (taken from the Balance Error Scoring System) through an objective postural assessment of centre of pressure (COP) and Area of Ellipse (AoE) calculations using a low-cost balance board and basic software interface after a season of accumulated subconcussion in female varsity rugby athletes. Specifically, double stance on the floor worsened by 31% in COPAP (p=.025) and by 26% in COPT (p=.038) and tandem stance on an unstable foam surface worsened by 180% in COPML (p=.014), 175% in COPAP (p=.025) and 141% in COPT (p=.005) between preand post-season. Our results indicate that these outcome measures are sensitive and can discriminate underlying balance deficits associated with accumulated subconcussive impacts. An objective measurement of spinal cord excitability through bilateral fluctuations of the Hoffman (H-) reflex in the tibial nerve found significantly elevated pre-season Cross Covariance (CCV)
Design of Flux-Switching Permanent Magnet Machine Considering the Limitation of Inverter and Flux-Weakening Capability

In this paper, a general design procedure for the flux-switching permanent magnet (FSPM) machine with different topologies is proposed. Firstly, a 3-phase 12-stator-tooth/10-rotor-pole topology is introduced and its operation principle is described. Then, the basic design method, including determination of the stator, rotor and magnet dimensions, is proposed under the constraints of some dimensions and electrical parameters. The winding turns are obtained by iteratively solving the base-speed and current equations simultaneously. The influence of current density and slot packing factor on the flux-weakening capability is investigated in the design stage to satisfy the torque and wide-speed operation requirement. Further, the output power equation, consequently, the sizing equation is derived for determining the initial dimensions of a FSPM machine, in which the traditional D2 sil a is replaced by D2 sola. Hence, the power density of different topologies can be compared directly by the equation. It reveals that the 3-phase 12/10-pole topology can offer higher power and power density than those of the 2-phase 8/6-pole machine by ~11% in theory under the same conditions. The experiments on the prototype motor verify the performance predictions
Realization and design of a pilot assist decision-making system based on speech recognition

A system based on speech recognition is proposed for pilot assist decision-making. It is based on a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the central processor to achieve better reliability and higher cost-effect performance. Technologies of LPCC (linear predictive cepstral coding) and DTW (Dynamic Time Warping) are applied for isolated-word speech recognition to gain a smaller amount of calculation and a better real-time performance. Besides, we adopt the PWM (Pulse Width Modulation) regulation technology to effectively regulate each control surface by speech, and thus to assist the pilot to make decisions. By trial and error, it is proved that we have a satisfactory accuracy rate of speech recognition and control effect. More importantly, our paper provides a creative idea for intelligent human-computer interaction and applications of speech recognition in the field of aviation control. Our system is also very easy to be extended and applied.
Forward Kinematics Analysis and Tension Distribution of a Cable-Driven Sinking Winches Mechanism

This paper concerns the forward kinematics and tension distribution of sinking winches mechanism, which is a type of four-cable-driven partly constrained parallel robot. Conventional studies on forward kinematics of cable-driven parallel robot assumed that all cables are taut. Actually, given the lengths of four cables, some cables may be slack when the platform is in static equilibrium. Therefore, in this paper, the tension state (tautness or slackness) of cables is considered in the forward kinematics model. We propose Traversal-Solving-Algorithm, which can indicate the tension state of cables, and further determine the pose of the platform, if the lengths of four cables are given. The effectiveness of the algorithm is verified by four examples. The results of this paper can be used to control sinking winches mechanism to achieve the level and stable motion of the platform, and to make the tension distribution of cables as uniform as possible.