Search

In this letter, an appropriate approach is proposed for modeling the electromagnetic (EM) scattering from composite rough surfaces made up of wake due to a submerged body and wind-driven sea waves. The computational fluid dynamics (CFD) method is used to extract the air–seawater surface wake generated by an underwater moving body at different speeds and depths. Then, the wake is superimposed on the randomly rough wind-driven sea surfaces that obey the Pierson–Moskowitz power spectrum. The small slope approximation (SSA) method is adopted to calculate the EM scattering by the composite surfaces. The simulation results are obtained and justified.

Conformal antennas are practicable candidates to the aerodynamic platforms. A wide-angle scanning conformal phased array antenna for an unmanned aerial vehicle (UAV) platform is designed and presented in this article. An eight-element linear phased array loaded with frequency selective surface (FSS) operating in $S$ -band is investigated. The horizontally polarized antenna element is designed based on a tapered slot feeding dipole. The antenna aperture can be easily conformed to the front wing airframe of the UAV due to the flexibility of the employed polyimide film. To fulfill the requirement of the airborne communication system, two kinds of FSSs are loaded on the dipole antenna to enhance the gain and reduce the 3 dB beamwidth of the main lobe in the elevation plane. To improve the active impedance matching when the beam scans to the large angles, a novel parasitic structure is proposed. Finally, a $1 \times 8$ linear conformal array prototype is simulated, fabricated, and measured. The experimental results indicate that the antenna array achieves a fractional bandwidth of 22.1% with ±70° scanning along the E-plane. The measured results validate the performance of the proposed conformal array and the design.

BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has caused major public panic in China. Pregnant women may be more vulnerable to stress, which may cause them to have psychological problems. AIM To explore the effects of perceived family support on psychological distress in pregnant women during the COVID-19 pandemic. METHODS A total of 2232 subjects were recruited from three cities in China. Through the online surveys, information on demographic data and health status during pregnancy were collected. Insomnia severity index, generalized anxiety disorder 7-item scale, patient health questionnaire-9, somatization subscale of the symptom check list 90 scale, and posttraumatic stress disorder checklist were used to assess the psychological distress. RESULTS A total of 1015 (45.4%) women reported having at least one psychological distress. The women who reported having inadequate family support were more likely to suffer from multiple psychological distress (≥ 2 psychological distress) than women who received adequate family support. Among the women who reported less family support, 41.8% reported depression, 31.1% reported anxiety, 8.2% reported insomnia, 13.3% reported somatization and 8.9% reported posttraumatic stress disorder (PTSD), which were significantly higher than those who received strong family support. Perceived family support level was negatively correlated with depressive symptoms (r = -0.118, P < 0.001), anxiety symptoms (r = -0.111, P < 0.001), and PTSD symptoms (r = -0.155, P < 0.001). CONCLUSION Family support plays an important part on pregnant women’s mental health during the COVID-19 pandemic. Better family support can help improve the mental health of pregnant women.

BackgroundMeta-analysis and single site studies have established that children are less infectious within a household when positive for ancestral SARS-CoV-2. In addition, children appear less susceptible to infection when exposed to ancestral SARS-CoV-2 within a household. The emergence of SARS-CoV-2 variants of concern (VOC) has been associated with an increased number of pediatric infections worldwide. However, the role of children in the household transmission of VOCs, relative to the ancestral virus, remains unclear.MethodsHere, we perform a meta-analysis of the role of children in the household transmission of both ancestral SARS-CoV-2 and SARS-CoV-2 VOCs. Results: Unlike the ancestral virus, children infected with VOCs spread SARS-CoV-2 to an equivalent number of household contacts as infected adults. Similarly, unlike the ancestral virus, children within a household were equally as likely as adults to acquire SARS-CoV-2 from an infected family member. Interestingly, this same observation was noted when unvaccinated children exposed to VOCs were compared to unvaccinated adults exposed to VOCs.ConclusionsTogether, these data suggest that the emergence of VOCs were associated with a fundamental shift in the epidemiology of SARS-CoV-2. This is unlikely to solely be the result of age-dependent differences in vaccination during the VOCs period and instead may reflect virus evolution over the course of the pandemic.summaryThe role of children in the household transmission of VOCs, relative to the ancestral virus, remains unclear. Using a meta-analysis we show that the emergence of VOCs were associated with a fundamental shift in the epidemiology of SARS-CoV-2

Smoking affects sensory gating, as assessed by the event related potential P50, which is evoked by auditory stimuli and is considered to be involved in the pathophysiology of schizophrenia (SCZ). However, few studies have compared sensory gating and cognitive performance between smoking and non-smoking SCZ patients in the Chinese Han population.We recruited two groups of Chinese subjects: 128 male chronic SCZ patients and 76 male healthy controls, measuring cognition with the MATRICS Consensus Cognitive Battery (MCCB) and sensory gating with the P50 EEG components. Based on their smoking status, they were further divided into 4 subgroups: smoking SCZ patients, non-smoking SCZ patients, smoking healthy controls, and non-smoking healthy controls. We assessed psychopathological symptoms of the patients using the Positive and Negative Syndrome Scale (PANSS).Compared with healthy controls, SCZ patients had lower MCCB total score and scores of all 10 tests (all p 0.05), while SCZ patients had higher S2 amplitudes and P50 ratios (both p 0.05). When comparing smoking versus non-smoking SCZ patients, non-smokers had significantly better spatial span (p 0.05). Furthermore, the S1 amplitude was negatively correlated with the Brief Visuospatial Memory Test (BVMT-R) in smoking patients (p 0.05), while the S1 latency was negatively correlated with spatial span in non-smoking patients (p 0.01).Our finding shows a difference in the relationship between sensory gated P50 and cognition in smoking and non-smoking SCZ patients, suggesting that nicotine may improve cognitive and P50 deficits in SCZ patients.

Background: Bacteria colonizing the nasopharynx play a key role as gatekeepers of respiratory health. Yet, dynamics of early life nasopharyngeal (NP) bacterial profiles remain understudied in low-and-middle-income countries (LMICs), where children have a high prevalence of risk factors for lower respiratory tract infection. We investigated longitudinal changes in NP bacterial profiles, and associated exposures, among healthy infants from low-income households in South Africa.Methods: We used short fragment (V4 region) 16S rRNA gene amplicon sequencing to characterise NP bacterial profiles from 103 infants in a South African birth cohort, at monthly intervals from birth through the first 12 months of life and six-monthly thereafter until 30 months. Results:Corynebacterium and Staphylococcus were dominant colonizers at one month of life, however these were rapidly replaced by Moraxella- or Haemophilus-dominated profiles by four months. This succession was almost universal, and largely independent of a broad range of exposures Warm weather (summer), lower gestational age, maternal smoking, no day-care attendance, antibiotic exposure, or low height-for-age z score at 12 months were associated with higher alpha and beta diversity. Summer was also associated with higher relative abundances of Staphylococcus, Streptococcus, Neisseria or anaerobic gram-negative bacteria, whilst spring and winter were associated with higher relative abundances of Haemophilus or Corynebacterium, respectively. Maternal smoking was associated with higher relative abundances of Porphyromonas. Antibiotic therapy (or isoniazid prophylaxis for tuberculosis) was associated with higher relative abundance of anerobic taxa (Porphyromonas, Fusobacterium and Prevotella) and with lower relative abundances of health associated-taxa Corynebacterium and Dolosigranulum. HIV-exposure was associated with higher relative abundances of Klebsiella or Veillonella and lower relative abundances of an unclassified genus within the family Lachnospiraceae. Conclusions:In this intensively sampled cohort there was rapid and predictable replacement of early profiles dominated by health-associated Corynebacterium and Dolosigranulum with those dominated by Moraxella and Haemophilus, independent of exposures. Season and antibiotic exposure were key determinants of NP bacterial profiles. Understudied but highly prevalent exposures prevalent in LMICs, including maternal smoking and HIV-exposure, were associated with NP bacterial profiles.

Major capsid protein (MCP) can be used as a subunit vaccine against largemouth bass virus (LMBV). However, subunit vaccines usually have low immunogenicity. Here, to identify the major immunogenicity determinant region of the MCP gene, we truncated the MCP of the LMBV gene into four parts (MCP-1, MCP-2, MCP-3 and MCP-4). Enzyme-linked immunosorbent assay (ELISA) was used to identify the antigenicity of these four truncated MCP proteins. Then, the highly antigenic truncated protein was modified with mannose and connected with functionalized single-walled carbon nanotubes (SWCNTs) as carriers. Largemouth basses were immunized by bath immersion, challenged with LMBV on the 28th day after immunization and evaluated for related immune indicators. The results indicated that the MCP-2 protein could induce a higher antibody titre than the other truncated MCP proteins. We found that the levels of immune-related genes (TNF-α, CD40, IgM, IFNγ and IL-10) in the spleen and kidney were significantly increased in the MCP-2 and MCP-2-Man groups. ELISA results showed that the antibody content in the serum increased significantly in the MCP-2 group 7 days post-vaccination and increased with days in all the vaccinated groups, with the highest observed on the 21st day. Notably, the MCP-2-Man vaccine (10 mg L

The orthogonal basis functions (OBFs) method is a viable approach for magnetic target signal detection under the Gaussian white noise. However, its performance would degrade overtly under the Gaussian color noise with the power spectral density of $1/f^{\alpha }$ , which is the common environmental magnetic noise. In this letter, based on the linear constrained minimum variance criterion and the generalized likelihood ratio test, respectively, an alternative detection scheme is proposed through the optimization of the basis functions by considering both the signal and noise information. Experiment results using both the simulated data and the measured data show that the present approach can significantly improve the detection performance when compared to the original OBFs method.

Novel characteristic mode (CM) formulations for penetrable objects based on explicit separation of dissipation power from the total active power and use of single surface integral equation (SSIE) are proposed. Due to the separation of the dissipation power, the right-hand side of the generalized eigenvalue equation can be set to be exclusively related to the radiated power, which permits the far-field pattern by different CMs to be orthogonal whether the material is lossless or not. The use of SSIE allows both the equivalent electric and magnetic currents to be expressed by a single effective electric or magnetic current, so that the conventional inverse to express the equivalent electric current by the equivalent magnetic current or vice versa is avoided, which is favorable for frequency sweeping simulations. Numerical examples for verifications are provided by comparing with acknowledged results or measured data.

Service composition is an effective method of combining existing atomic services into a value-added service based on cost and quality of service (QoS). To meet the diverse needs of users and to offer pricing services based on QoS, we propose a service composition auction mechanism based on user preferences, which is strategy-proof and can be beneficial in selecting services based on user preferences and dynamically determining the price of services. We have proven that the proposed auction mechanism achieves desirable properties including truthfulness and individual rationality. Furthermore, we propose an auction algorithm to implement the auction mechanism, and carry out extensive experiments based on real data. The results verify that the proposed auction mechanism not only achieves desirable properties, but also helps users find a satisfactory service composition scheme.

This paper is concerned with the electromagnetic theory of characteristic modes for general homogeneous material bodies using surface integral equations (SIEs), which are computationally more efficient than using volume integral equations (VIEs). However, the generalized eigenvalue equations (GEEs) based on SIEs are prone to generate spurious or extra modes, unlike their counterparts based on VIEs. In this work, several variant SIE-based GEEs are proposed to eliminate the spurious/extra modes and improve the numerical performances. These variant GEEs share a common point that the reactive power operator related to the material domain should be removed from the left-hand sides of GEEs by explicitly enforcing the boundary condition, because it seems sensitive to incur unwanted modes. These variant GEEs are diverse in choosing the active power operator related to the material domain on the right-hand sides to suit different medium parameters, which even can be dropped directly for lossless cases. Numerical results show that these variant GEEs do not generate spurious/extra resonant modes in observed frequency range, and at least one of the variants would have acceptable numerical accuracy.

Acute kidney injury (AKI) is a critical and severe clinical disease caused by a variety of factors. Toll-like receptors (TLRs) play a crucial role in pathogenesis of AKI. Radioprotective 105 kDa protein (RP105) is a member of the TLR family, but the role of RP105 in AKI is unknown. In this study, we overexpressed RP105 in renal tissue and cultured proximal tubular cells in which we then induced ischemic and septic AKI. Renal structure injuries were examined by hematoxylin eosin staining, while renal function was assessed by measuring serum blood urea nitrogen (BUN) and creatinine (SCr) levels. The TUNEL assay was used to detect apoptosis induced changes in the expression of RP105, and nuclear factor κB (NF-κB) in renal tissue detected by Western blot. Inflammatory cytokines including iNOS, IL-1β, IL-6, and TNF-α were detected by quantitative real-time PCR. The inflammatory indicators, F4/80 and MPO, were identified by IHC staining. The results showed that expression of the TLR4/NF-kB signaling pathway was enhanced in renal ischemia-reperfusion injury and septic renal injury, and that overexpression of RP105 in renal tissue alleviated ischemic and septic AKI. Moreover, RP105 gene delivery was associated with reduced renal inflammatory cells infiltration and inflammatory cytokines after AKI. RP105 overexpression also inhibited nuclear translocation of NF-κB after AKI in both in vitro and in vivo, and blunted the interaction between Myeloid Differentiation factor 2 (MD2) and TLR4. These results indicated that RP105 protected against renal ischemic and septic AKI injury by suppressing inflammatory responses mediated by TLR4 signaling pathways. This study suggests that the anti-inflammatory roles of RP105 have potential for preventing and treating renal ischemic and septic AKI.