Transmission Ability Research Articles

Cofactor-Assisted Artificial Enzyme with Multiple Li-Bond Networks for Sustainable Polysulfide Conversion in Lithium-Sulfur Batteries.

Lithium–sulfur batteries possess high theoretical energy density but suffer from rapid capacity fade due to the shuttling and sluggish conversion of polysulfides. Aiming at these problems, a biomimetic design of cofactor‐assisted artificial enzyme catalyst, melamine (MM) crosslinked hemin on carboxylated carbon nanotubes (CNTs) (i.e., [CNTs–MM–hemin]), is presented to efficiently convert polysulfides. The MM cofactors bind with the hemin artificial enzymes and CNT conductive substrates through FeN5 coordination and/or covalent amide bonds to provide high and durable catalytic activity for polysulfide conversions, while π–π conjugations between hemin and CNTs and multiple Li‐bond networks offered by MM endow the cathode with good electronic/Li+ transmission ability. This synergistic mechanism enables rapid sulfur reaction kinetics, alleviated polysulfide shuttling, and an ultralow (<1.3%) loss of hemin active sites in electrolyte, which is ≈60 times lower than those of noncovalent crosslinked samples. As a result, the Li–S battery using [CNTs–MM–hemin] cathode retains a capacity of 571 mAh g−1 after 900 cycles at 1C with an ultralow capacity decay rate of 0.046% per cycle. Even under raising sulfur loadings up to 7.5 mg cm−2, the cathode still can steadily run 110 cycles with a capacity retention of 83%.

Application of Jaw Type Flexible Clutches in Human Powered Machine: A Literature Review

This article presents the topical progresses in the arena of an approach to articulate an experimental databased model for jaw type flexible clutches. The developing countries are facing very acute problems of the energy crisis. It has become essential to use human energy for energizing the manufacturing process machine. This kind of machine necessitates a flexible clutch for torque transmission. Due to the intricate impact phenomenon, flexible clutches cannot be deliberate without experimental data. Therefore, the experimentation methodology and experimental setup to evaluate the performance of torque transmitted by the clutch have been augment. It is obliging for selection of the optimum clutch-type for various applications in low powered processing machines. This study of analysing suitable material can be useful for the comparative study of Jaw type flexible clutches and their transmission ability. Mathematical model and Artificial Neural Network (ANN) development are essential, to evaluate the belongings of altered components and to make forecasts about behaviour.

First report of pearl millet bacterial leaf blight caused by Pantoea stewartii subspecies indologenes in India.

Pearl millet (Cenchrus americanus L.) field-grown plants of cv. 7042S shown unusual water-soaked lesions on leaf tips spreading towards the leaf base from Manasagangothri region (12.31°N 76.61°E), Karnataka, a southern Indian state during March 2020. Later those infected plants showed extensive necrosis and typical leaf blight symptoms with 70% disease incidence and 59% severity. Surface sterilized (3 x 3 mm) infected leaf tissues were crushed in 1mL sterile distilled water and streaked onto nutrient agar media. Bright-yellowish, circular, mucoid single bacterial colonies (PPi-M1) with regular margin were recovered after 24 hours of incubation at 28oC, and the same bacterial colonies were used for further biochemical and molecular characterization. The isolate, PPi-M1 found as gram-negative rods, gelatin, starch hydrolysis negative, and catalase, indole production positive. The partial sequence of 16S rRNA gene (primers: 27F/1492R) of the isolate PPi-M1 was amplified, sequenced, and curated sequence submitted to NCBI GenBank (accession number: MN808555). In nucleotide BLAST search for homologous sequences, 99.5% nucleotide matching similarity (1410bp) was observed with other Pantoea stewartii subspecies indologenes strains (MF163274; NR_104928) at NCBI database indicating that our isolate PPi-M1 belongs to this species. In Phylogenetic analysis using the Maximum Likelihood method and Tamura Nei model (1993), PPi-M1 formed a distinct cluster with other Pantoea stewartii strains with bootstrap value >95 and it was distant from P. allii, P. ananatis, P. agglomerans, and P. dispera. Besides, the subspecies-specific PCR assay and subsequent sequencing of galE and recA genes (primers: 3614galE/3614galEc; 3614recA/3614recAc; 372 and 223 bp) also confirmed the identity of the isolate as Pantoea stewartii subspecies indologenes. Further, the pathogenicity test was performed in-planta on 21 days old seedlings of pearl millet cv. CO-10. The bacterial suspension of isolate PPi-M1 (1x108 CFU/ml) was used for inoculation by leaf clipping method (Ke et al. 2017). All the inoculated plants (n=4 leaves per plant; 15 plants) maintained under greenhouse conditions (Temp: 27-29oC; RH: 80-85%) except mock (sterile water inoculation) shown similar water-soaked lesions from the cut end of the leaf, with a definite spreading margin and a typical leaf blight symptom in 8 dpi, as observed in the field. Re-isolated bacterial colonies from infected leaves shared similar morphological characters and molecular identity with inoculated culture, thus proving Koch's postulates. This pearl millet leaf blight causing bacterial strain PPi-M1 was deposited in the National Agriculturally Important Microbial Culture Collection, Mau, India (accession no.: NAIMCC-B-02508). Previously, P. stewartii was reported to cause leaf blight and rot diseases on rice and maize (Kini et al. 2016; Roper et al. 2011), also the international seed federation has instigated the phytosanitary measures highlighting its true seed transmission ability (Pataky et al. 2003). This study will supplement future pearl millet breeding programs, and to our knowledge, this is the first report of P. s. subsp. indologenes inciting pearl millet leaf blight disease in India.

Second Wave of the COVID-19 Pandemic in Delhi, India: High Seroprevalence Not a Deterrent?

BackgroundWe report the findings of a large follow-up, community-based, cross-sectional serosurvey and correlate it with the coronavirus disease (COVID-19) test-positivity rate and the caseload observed between the peaks of the first and the second wave of the COVID-19 pandemic in Delhi, India.MethodologyIndividuals aged five and above were recruited from 274 wards of the state (population approximately 19.6 million) from January 11 to January 22, 2021. A total of 100 participants each were included from all wards for a net sample size of approximately 28,000. A multistage sampling technique was employed to select participants for the household serosurvey. Anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin (IgG) antibodies were detected by using the VITROS® (Ortho Clinical Diagnostics, Raritan, NJ, USA) assay (90% sensitivity, 100% specificity).ResultsAntibody positivity was observed in 14,298 (50.76%) of 28,169 samples. The age, sex, and district population-weighted seroprevalence of the SARS-CoV-2 IgG was 50.52% (95% confidence interval [CI] = 49.94-51.10), and after adjustment for assay characteristics, it was 56.13% (95% CI = 55.49-56.77). On adjusted analysis, participants aged ≥50 years, of female gender, housewives, having ever lived in containment zones, urban slum dwellers, and diabetes or hypertensive patients had significantly higher odds of SARS-CoV-2 antibody positivity.The peak infection rate and the test-positivity rate since October 2020 were initially observed in mid-November 2020, with a subsequent steep declining trend, followed by a period of persistently low case burden lasting until the first week of March 2021. This was followed by a steady increase followed by an exponential surge in infections from April 2021 onward culminating in the second wave of the pandemic.ConclusionsThe presence of infection-induced immunity from SARS-CoV-2 even in more than one in two people can be ineffective in protecting the population. Despite such high seroprevalence, population susceptibility to COVID-19 can be accentuated by variants of concern having the ability for rapid transmission and depletion of antibody levels with the threat of recurrent infections, signifying the need for mass vaccination.

The challenges of COVID-19 Delta variant: Prevention and vaccine development.

Several SARS‐CoV‐2 variants have emerged since the pandemic, bringing about a renewed threat to the public. Delta variant (B.1.617.2) was first detected in October 2020 in India and was characterized as variants of concern (VOC) by WHO on May 11, 2021. Delta variant rapidly outcompeted other variants to become the dominant circulating lineages due to its clear competitive advantage. There is emerging evidence of enhanced transmissibility and reduced vaccine effectiveness (VE) against Delta variant. Therefore, it is crucial to understand the features and phenotypic effects of this variant. Herein, we comprehensively described the evaluation and features of Delta variant, summarized the effects of mutations in spike on the infectivity, transmission ability, immune evasion, and provided a perspective on efficient approaches for preventing and overcoming COVID‐19.

Machine learning to predict the source of campylobacteriosis using whole genome data.

Campylobacteriosis is among the world’s most common foodborne illnesses, caused predominantly by the bacterium Campylobacter jejuni. Effective interventions require determination of the infection source which is challenging as transmission occurs via multiple sources such as contaminated meat, poultry, and drinking water. Strain variation has allowed source tracking based upon allelic variation in multi-locus sequence typing (MLST) genes allowing isolates from infected individuals to be attributed to specific animal or environmental reservoirs. However, the accuracy of probabilistic attribution models has been limited by the ability to differentiate isolates based upon just 7 MLST genes. Here, we broaden the input data spectrum to include core genome MLST (cgMLST) and whole genome sequences (WGS), and implement multiple machine learning algorithms, allowing more accurate source attribution. We increase attribution accuracy from 64% using the standard iSource population genetic approach to 71% for MLST, 85% for cgMLST and 78% for kmerized WGS data using the classifier we named aiSource. To gain insight beyond the source model prediction, we use Bayesian inference to analyse the relative affinity of C. jejuni strains to infect humans and identified potential differences, in source-human transmission ability among clonally related isolates in the most common disease causing lineage (ST-21 clonal complex). Providing generalizable computationally efficient methods, based upon machine learning and population genetics, we provide a scalable approach to global disease surveillance that can continuously incorporate novel samples for source attribution and identify fine-scale variation in transmission potential.

Application of Machine Learning Classifier to Candida auris Drug Resistance Analysis.

Candida auris (C. auris) is an emerging fungus associated with high morbidity. It has a unique transmission ability and is often resistant to multiple drugs. In this study, we evaluated the ability of different machine learning models to classify the drug resistance and predicted and ranked the drug resistance mutations of C. auris. Two C. auris strains were obtained. Combined with other 356 strains collected from the European Bioinformatics Institute (EBI) databases, the whole genome sequencing (WGS) data were analyzed by bioinformatics. Machine learning classifiers were used to build drug resistance models, which were evaluated and compared by various evaluation methods based on AUC value. Briefly, two strains were assigned to Clade III in the phylogenetic tree, which was consistent with previous studies; nevertheless, the phylogenetic tree was not completely consistent with the conclusion of clustering according to the geographical location discovered earlier. The clustering results of C. auris were related to its drug resistance. The resistance genes of C. auris were not under additional strong selection pressure, and the performance of different models varied greatly for different drugs. For drugs such as azoles and echinocandins, the models performed relatively well. In addition, two machine learning algorithms, based on the balanced test and imbalanced test, were designed and evaluated; for most drugs, the evaluation results on the balanced test set were better than on the imbalanced test set. The mutations strongly be associated with drug resistance of C. auris were predicted and ranked by Recursive Feature Elimination with Cross-Validation (RFECV) combined with a machine learning classifier. In addition to known drug resistance mutations, some new resistance mutations were predicted, such as Y501H and I466M mutation in the ERG11 gene and R278H mutation in the ERG10 gene, which may be associated with fluconazole (FCZ), micafungin (MCF), and amphotericin B (AmB) resistance, respectively; these mutations were in the “hot spot” regions of the ergosterol pathway. To sum up, this study suggested that machine learning classifiers are a useful and cost-effective method to identify fungal drug resistance-related mutations, which is of great significance for the research on the resistance mechanism of C. auris.

An English Mobile Learning Platform Embedded in GSM-R Wireless Network Communication

English mobile learning platform is affected by external interference signals, resulting in poor remote transmission ability of English information. To solve this problem, a design of the English mobile learning platform based on the GSM-R wireless network communication system is proposed. The overall framework of the English mobile learning platform is designed. MSP430F149 single-chip microcomputer is selected as the hardware microcontrol unit of the platform, and R-C reset circuit is designed. The reset circuit is used to reset the single-chip microcomputer platform to prevent external signal interference. The modem is initialized according to AT instruction, and the main program flow of the single-chip microcomputer of the English mobile learning platform is designed on this basis. GSM-R wireless network communication system is used to plan the course module. After planning, the platform operation management function is designed, the interactive learning environment is established, the user information template is designed, and the platform database is built. The experimental results show that the designed English mobile learning platform can meet the learning needs and improve students’ comprehensive ability after application.

Probabilistic-Constrained H ∞ Tracking Control for a Class of Stochastic Nonlinear Systems Subject to DoS Attacks and Measurement Outliers

In this study, the probabilistic-constrained <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> tracking control problem is addressed for a class of stochastic nonlinear systems subject to measurement outliers, stochastic nonlinearities and DoS attacks. The considered systems have the following characters: 1) an unequal redundant-channel communication protocol is adopted to resist the DoS attacks and enhance the reliability of packet transmission. Different from some existing redundant-channel approaches, the considered two channels have different transmission abilities. 2) The measurement outliers (e.g., some unexpected large amplitude disturbances) are concerned and a saturation-function-based observer is proposed to avert the side effects from measurement outliers. 3) The DoS jamming attacks are considered in this paper, and an aperiodic DoS model is utilized. 4) Both sector-bounded nonlinear function and stochastic nonlinear function are involved in the considered systems, which makes the considered systems more general. To compensate the negative effect of the DoS jamming attacks and enhance the reliability of the packet transmission, a novel redundant-channel-based switching protocol is proposed to schedule data transmission when the plant suffers malicious cyber attacks. The primary objective of the present study is to design tracking controller such that the prescribed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> control performance is reached and probabilistic constraints on the tracking error are satisfied simultaneously. To achieve this objective, a probabilistic-constrained <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathcal {H}_{\infty }$ </tex-math></inline-formula> tracking control algorithm is established to obtain tracking controller gains and minimize the prescribed set of the constraint. Finally, two simulation examples are used to validate the practicability of our devised strategy.

Multitime Scale Frequency Regulation of a General Resonant DC Transformer in a Hybrid AC/DC Microgrid

The high-frequency resonant dc transformer (DCT) becomes popular in hybrid ac/dc microgrids, thanks to its good bidirectional power transmission (PT) ability and high power density. However, its application is limited by either the complex systematic control or the complicated parameter design. To solve this problem, in this article, a multitime scale frequency regulation approach is put forward for a general CLLC-DCT (GCLLC-DCT). By establishing the general model of the resonant DCT, the relationship between the transmitted power and the resonant frequency is derived at first. Afterward, the power trigger mechanism is introduced to assist the implementation of the proposed approach. If the long-time scale control is triggered, only once calculation based on the PT requirement will be introduced to avoid redundant computations. If the short-time scale control is triggered, the frequency regulation based on the voltage conversion gain feature of GCLLC-DCT will be executed till it reaches a new steady state, which is beneficial to ensure the real-time control precision. The cooperation of the short-time and long-time scale control is also presented to make the proposed approach easily implement at hybrid ac/dc microgrids. The lab-scale prototype of GCLLC-DCT has been set up based on a hybrid ac/dc microgrid to verify the superiority of the proposed approach.

First-principles calculations to investigate stability, electronic and optical properties of fluorinated MoSi2N4 monolayer

Based on first-principles calculations, variations in the stability as well as the electronic and optical properties of fluorinated MoSi2N4 (MoSi2N4-Fx, x = 0–16) were investigated. Analyses of the adsorption energy and phonon band dispersions proved that the fluorinated MoSi2N4 formed a stable structure. The band gap of MoSi2N4 was 1.92 eV. When the F number increased to x = 16, the band gap of MoSi2N4-F16 decreased to 0 eV, indicating that the fully fluorinated monolayer showed a metallic nature. At the same time, the work function of MoSi2N4-Fx increased from 4.72 (x = 0) to 6.17 eV (x = 16). Based on dielectric function spectra, MoSi2N4-Fx (x = 0–16) showed significant optical anisotropy. The light absorption range and intensity in the visible-light range were obviously enhanced after the fluorination process. The transmittance of the 10-nm-thick MoSi2N4 film (10 layers of MoSi2N4) was larger than 80%, indicating that this material had a good optical transmission ability. After the fluorination process, the optical transmittance of MoSi2N4 showed a significant decrease. Therefore, the properties of MoSi2N4 could be adjusted through the facile fluorination process, which could largely expand the applications of MoSi2N4 in electronic/optoelectronic devices and photocatalysts.

Comprehensive analysis of plasmid-mediated tet(X4)-positive Escherichia coli isolates from clinical settings revealed a high correlation with animals and environments-derived strains

The emergence of novel plasmid-mediated high-level tigecycline resistance genes tet(X) in the Enterobacteriaceae has increased public health risk for treating severe bacterial infections. Despite growing reports of tet(X)-positive isolates detected in animal sources, the epidemiological association of animal- and environment-derived isolates with human-derived isolates remains unclear. Here, we performed a comprehensive analysis of tet(X4)-positive Escherichia coli isolates collected in a hospital in Guangdong province, China. A total of 48 tet(X4)-positive E. coli isolates were obtained from 1001 fecal samples. The tet(X4)-positive E. coli isolates were genetically diverse but certain strains that belonged to ST48, ST10, and ST877 etc. also have clonally transmitted. Most of the tet(X4) genes from these patient isolates were located on conjugative plasmids that were successfully transferred (64.6%) and generally coexisted with other antibiotic resistance genes including aadA, floR, blaTEM and qnrS. More importantly, we found the IncX1 type plasmid was a common vector for tet(X4) and was prevalent in these patient-derived strains (31.3%). This plasmid type has been detected in animal-derived strains from different species in different regions demonstrating its strong transmission ability and wide host range. Furthermore, phylogenetic analysis revealed that certain strains of patient and animal origin were closely related indicating that the tet(X4)-positive E. coli isolates were likely to have cross-sectorial clonal transmission between humans, animals, and farm environments. Our research greatly expands the limited epidemiological knowledge of tet(X4)-positive strains in clinical settings and provides definitive evidence for the epidemiological link between human-derived tet(X4)-positive isolates and animal-derived isolates.

Global distribution of plasmid-mediated colistin resistance mcr gene in Salmonella: A systematic review.

This systematic review focuses on obtaining the most relevant information from multiple studies that detected a mobilized colistin resistance mcr gene in Salmonella for a better comprehension of its global distribution. A group of strategic and systematic keywords were combined to retrieve research data on the detection frequency of the mcr gene globally from four database platforms (Google Scholar, Science Direct, PubMed and Scielo). Forty-eight studies attended all the eligibility criteria and were selected. China was the country with the highest frequency of Salmonella strains with the mcr gene, and Europe exhibited a wide diversity of countries with positive mcr strains. In addition, animals and humans carried the highest frequency of positive strains for the mcr gene. Salmonella Typhimurium was the most frequent serovar carrying the mcr gene. Apparently, colistin overuse in animal husbandry has increased the selective pressure of antimicrobial resistance, resulting in the emergence of a plasmid-mediated colistin resistance mcr gene in China. The mcr-positive Salmonella strains are recently predominant worldwide, which is probably due to the capacity of this gene to be swiftly horizontally transmissible. The transmission ability of mcr-positive Salmonella strains to humans through the consumption of contaminated animal-based food is a public health concern.

Altered topological properties of brain functional networks in drug-resistant epilepsy patients with vagus nerve stimulators

Purpose: To explore abnormalities of topological properties in drug-resistant epilepsy (DRE) patients after vagus nerve stimulation (VNS) by analyzing brain functional networks using graph theory. Methods: Fifteen patients and eight healthy controls (HC) were scanned separately with resting-state functional magnetic resonance imaging (rs-fMRI). Graph theoretical analyses were chosen to compare the global (small-world parameters [γ, λ, σ, Cp, and Lp], and network efficiency [Eg and Eloc]), and nodal (BC, DC, and NE) properties in preoperative patients (EPpre), postoperative patients (EPpost) and HC. Results: HC, EPpre and EPpost all satisfied the criteria for small-world properties (σ > 1) within the sparsity range of 0.05–0.5. Compared with EPpre, EPpost performed higher in λ and Eloc but lower in γ, σ, and Cp. Compared with HC, EPpre exhibited decreased BC, DC or NE in the right inferior frontal gyrus, right superior temporal gyrus, bilateral cingulate gyri, right supplementary motor area, right superior occipital gyrus, right Heschl gyrus, and left calcarine fissure; increased BC in the left postcentral/precentral gyrus, right paracentral lobule, left rolandic operculum, and left supramarginal gyrus, and increased NE in the right caudate nucleus. Compared with EPpre, EPpost showed increased BC, DC or NE in the bilateral inferior frontal gyrus, right middle frontal gyrus, bilateral cingulate gyri, right superior temporal gyrus, and right Heschl gyrus and decreased BC in the left fusiform gyrus. Conclusion: VNS downregulated small-world properties in DRE, and caused changes in some key nodes to reorganize the transmission ability of the large-scale network.

DJ-1-Nrf2 axis is activated upon murine β-coronavirus infection in the CNS

Coronaviruses have emerged as alarming pathogens owing to their inherent ability of genetic variation and cross-species transmission. Coronavirus infection burdens the endoplasmic reticulum (ER.), causes reactive oxygen species production and induces host stress responses, including unfolded protein response (UPR) and antioxidant system. In this study, we have employed a neurotropic murine β-coronavirus (M-CoV) infection in the Central Nervous System (CNS) of experimental mice model to study the role of host stress responses mediated by interplay of DJ-1 and XBP1. DJ-1 is an antioxidant molecule with established functions in neurodegeneration. However, its regulation in virus-induced cellular stress response is less explored. Our study showed that M-CoV infection activated the glial cells and induced antioxidant and UPR genes during the acute stage when the viral titer peaks. As the virus particles decreased and acute neuroinflammation diminished at day ten p.i., a significant up-regulation in UPR responsive XBP1, antioxidant DJ-1, and downstream signaling molecules, including Nrf2, was recorded in the brain tissues. Additionally, preliminary in silico analysis of the binding between the DJ-1 promoter and a positively charged groove of XBP1 is also investigated, thus hinting at a mechanism behind the upregulation of DJ-1 during MHV-infection. The current study thus attempts to elucidate a novel interplay between the antioxidant system and UPR in the outcome of coronavirus infection.

Variants of SARS-CoV-2, their effects on infection, transmission and neutralization by vaccine-induced antibodies.

https://www.europeanreview.org/wp/wp-content/uploads/Graphical_Abstract.jpg.

English

Currently, the human being faces a contagious virus called SARS-CoV-2 with a high transmission ability, infection, and a relatively high mortality rate, especially for the elderly. All research interest is directed to finding a drug or vaccine to save millions of people&rsquo;s lives; some have succeeded and applied now in some countries. Medicinal plants represent a green treasure that renders plentiful primary and secondary metabolites characterized by potent biological activities. Interestingly, the secondary metabolites, alkaloids, flavonoids, tannins, and terpenoids, own a broad antiviral history. The plant antiviral capabilities may be due to inhibition of viral attachment to/penetration of the host cell; inhibition of the virus replication; suppressing RNA replication; downregulation of viral proteins translation; interfering with virus non-structural/structural protein; downregulation of virus-induced pro-inflammatory/inflammatory signaling pathways in the host cell, and antioxidant activity thus abating the virus-induced oxidative stress effect. Presently, as we are trapped with a surly virus, there are attempts to exploit the power of nature. Therefore, this review&rsquo;s main objective is to refer to some medicinal plants or their derivatives that limit the virus&rsquo;s virulence or alleviate the symptoms associated with this virus. Key words: SARS-CoV-2, medicinal plants, natural extracts, flavonoids, alkaloids, antiviral.

The influence of micro/nano-structure on transmission ability of low-energy Electron Transmission Window

It is a extremely difficult to make the Electron Transmission Window (ETW) have the transmission ability for low-energy electrons, excellent mechanical strength, and thicker thickness at a large barometric pressure gradient, i.e., from vacuum to atmosphere. We present a new physical model of the ETW, which has a periodic array microstructure to restrain the temperature increase and nanostructures to provide transmission channels for electron sources. Two different periodic array micro-pattern ETWs with nanostructures have been prepared to testify the physical mechanisms, which are a thicker periodic array triangle micro-pattern unit with a nested triangle pillar type (NETW) and a thinner one without nested part type (OETW). A nanosecond-pulse power source and an array field emission electrode are adopted to focus the energy and reduce the energy dissipation of the electron source. The transmission efficiencies of the NETW and the OETW are 5.86% and 2.82% at −3.5 kV, 8.90% and 5.77% at −5.5 kV, and 12.69% and 11.97% at −8.5 kV pulsed voltages, respectively. In addition, the transmission abilities of the two ETWs have been compared by visualization diagnoses in transient and steady states, which match well with the results of transmission efficiencies. It is found that the results are consistent with those of this novel model mechanism.

"SARS-CoV-2 and its Transmission Ability Through the Nasal and Oral Cavities"

Since the beginning of the pandemic caused by the SARS-CoV-2 virus, it was identified that its ligand Spike Protein...

Electrochromic Behavior of Vanadium Pentoxide Thin Films Prepared by a Sol–Gel Spin Coating Process

Herein, the synthesis of vanadium oxide thin films with high electrochromic coloration efficiency through a simple sol–gel spin coating technique is reported. The structural studies confirm the formation of V2O3V2O5 mixed phase at 250 °C and the pure β‐V2O5 phase at 350 and 450 °C. The decrease in optical bandgap, refractive index, and extinction coefficient improves the transmission ability of the films at higher temperatures. The photoluminescence emission peak observed at 553 nm is due to the recombination of electron–hole pair intrinsic transition from the lowest split‐off V 3d band to the O 2p valence band. The tuning of surface morphology from rod to platelet structure may be due to the higher annealing temperature which assists the disorder movement of the particles. The observed V 2p core levels confirm the existence of V5+ oxidation state with the splitting of 7.2 eV. The electrochromic behavior of vanadium oxide film is detected in 0.5 m LiClO4 in propylene carbonate electrolyte solution. The results show that the film annealed at 450 °C exhibits high coloration efficiency of 110.98 cm2 C−1, good reversibility of 99%, and faster switching speed for bleaching (2.1 s) and coloration (2.4 s) processes.