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Background: Genomic characterization of the dengue virus (DENV) is useful for understanding its molecular evolution, transmission, pathogenicity and infectivity. The DENV genomic RNA encodes three structural proteins, capsid (C) envelope (E) and membrane (M) proteins mediating viral entry and assembly during host infection. The current study aims to explore the DENV serotypes and mutations in the E and M proteins. Methods: Twenty-three samples of DENV-positive patients were processed and selected for whole genome sequencing (WGS) from the Punjab Province of Pakistan. Results: Among the 23 WGS, 19 samples showed numerous mutations (BioProject ID PRJNA943555). DENV1 and DENV2 are the most prevalent serotypes. A total of 179 mutations were detected in the E protein, in which K203E, T88A, I114L, and I293T are novel. The I270L, T272A, S273L, and T277A were found in the “kl” β-hairpin (aa 270–279). The M protein harbors 74 mutations, of which 24 were novel. Three prominent complementary regions in the prM and E protein complex formations include R6, E46, D47, D63, and D65 on ‘pr’ peptide, and E84, K64, and H244, K247 on E, remain conserved except R6C. To our knowledge, it is the first comprehensive study of mutations in structural proteins. Conclusion: Genomic epidemiology is critical for analyzing emerging mutations and designing new policies therapeutic efforts for future outbreaks.

This paper gives a pseudo metric between any two hesitation fuzzy elements based on the closeness of the hesitation fuzzy elements; based on the hesitation fuzzy pseudo metric, a hesitation fuzzy multi-attribute decision-making method based on the pseudo metric closeness is proposed. Understanding the level of strategic management ability and enterprise leaders’ ability level can be achieved by measuring the size of fuzzy weighted closeness. From the perspective of group consistency analysis, a hesitation fuzzy attribute weight optimization model based on group consistency index maximization is established, and a hesitation fuzzy multi-attribute decision-making method based on group consistency and grey correlation analysis is proposed in combination with grey correlation analysis. Enterprise leaders’ strategic management abilities are assessed during the application stage using the hesitation fuzzy multi-attribute decision-making method. Analyzing the relationship between the strategic stage and the match between different types of strategic styles of business leaders and business performance is done using cross-linkage. The analysis results show that the distance value between the comprehensive fuzzy assessment value of each level of the leader’s strategic management capability and the semantic variable of each assessment value is at least 0.052, which is consistent with the overall assessment results of the five experts on the leader’s strategic management capability. The match between the strategic style of the business leader and the strategic stage in which the enterprise is located has a significant interaction effect on the performance indicators of the enterprise P=0.007

ABSTRACT The World Health Organization recommends culture-based techniques as the gold standard for rifampicin-resistant (RR) tuberculosis. However, as rapid molecular assays are rolled out, discordance in resistance has been observed. The current study compared 516 clinical isolates on Lowenstein–Jenson (LJ) and Mycobacteria Growth Indicator Tube (MGIT) drug susceptibility testings (DSTs) with rpoB sequencing. The discordance rate was higher in MGIT DST (24%) compared to LJ (9.4%). We report discordant results for RpoB mutations 430P (MGIT: 14/20; LJ: 19/20), 435Y (MGIT: 5/21; LJ: 17/21), 445N (MGIT: 11/18; LJ: 15/18), 445L (MGIT: 0/9; LJ: 8/9), 452P (MGIT: 5/20; LJ: 17/20), and 445C (MGIT: 1/6; LJ: 2/6) on LJ and MGIT DSTs, respectively. Mutations N438K and T444A, sensitive on LJ and MGIT DSTs, are novel. Two novel discordant mutations, Q436H+N437del and S428I, were also detected. One novel large deletion (Del) ggaccagaacaacccg/G (Del of DQNNP at positions 435–439) demonstrated concordance on LJ and MGIT DST. Numerous double and triple mutations including some novel combinations, M434V+H445N, L430R+D435Y, H445N+S450W, S428R+L430P, M434L+H445N, D435G+A451V, and M434I+D435G+A451V, have also shown higher discordant results on MGIT DST. The discordance results of RR are higher in MGIT DST compared to LJ. We suggest that the genotypic result should be preferred instead of phenotypic DST in case of discordant mutations. Physicians should be aware of such discordance to prescribe an effective treatment. Untargeted whole-genome sequencing to capture MGIT-sensitive and large deletions may be reconsidered for better treatment outcomes in high-burden countries. IMPORTANCE An accurate diagnosis of drug resistance in clinical isolates is an important step for better treatment outcomes. The current study observed a higher discordance rate of rifampicin resistance on Mycobacteria Growth Indicator Tube (MGIT) drug susceptibility testing (DST) than Lowenstein–Jenson (LJ) DST when compared with the rpoB sequencing. We detected a few novel mutations and their combination in rifampicin resistance isolates that were missed by MGIT DST and may be useful for the better management of tuberculosis (TB) treatment outcomes. Few novel deletions in clinical isolates necessitate the importance of rpoB sequencing in large data sets in geographic-specific locations, especially high-burden countries. We explored the discordance rate on MGIT and LJ, which is important for the clinical management of rifampicin resistance to avoid the mistreatment of drug-resistant TB. Furthermore, MGIT-sensitive isolates may be subjected to molecular methods of diagnosis for further confirmation and treatment options.

To quickly evaluate the safety of damaged bridge structures in the service process of cranes, a real-time prediction method for the fatigue life of bridge structures based on the optimal additive agent model is proposed. Based on the measured load data, the randomness of the relevant parameters of the service conditions is characterized by the combination of the working cycle process. In line with the most unfavorable service conditions, the stress weak position of the bridge structure is determined through finite element statics analysis and failure case statistics. And the structure finite element model is established for fatigue damage and life prediction. The MSC. Fatigue′s S-N module and crack propagation module are employed to simulate the residual life of the structure under random working conditions, and the influence of different crack depths on the residual life of the structure is analyzed. The Kriging model for the life prediction of the bridge structure that is optimized by the Pelican Optimization Algorithm and additive point criterion is created by the Latin Hypercube Sampling method and the black box theory. The real-time fatigue life prediction of bridge structures during trolley movement with load by Miner linear cumulative damage theory. The bridge structure of QD20/10 t × 43 m × 12 m general bridge crane is taken as an example to verify the feasibility of the proposed method. Comparing the proposed method with the traditional fatigue life calculation method based on finite element simulation, the results show that it can accurately assess the remaining life of the damaged bridge structure with fewer simulation calls and shorter simulation time, which can provide some reference significance for crane maintenance cycle formulation and scrapping decisions.

In the context of globalization and mobility, mobility and home have become an important topic in the study of the new cultural geography. Previous studies on mobility and home have paid more attention to the impact of land-based mobility on the home, and less to mobility in the marine context and its connection with the home. From the perspective of mobility in the marine context, based on the home geography and the connotation of the home culture, this paper discusses the production space of fishermen during the long-term working the sea in three parts: the function, the emotion, and the imagination of the home. First, in the construction of the home, fishermen in Hainan fully realized the function of the home through the spatial design and material landscape of the fishing boat, satisfying their multi-sensory experience of a home. In terms of the space design of the fishing boat, its interior is equipped with living spaces and equipment such as lounges, kitchens, leisure rooms, refrigerators, TVs, and air conditioners. During the production time, these spaces and equipment can also be used to make up for their separation from the flow of the home, and through these advanced facilities, the "home function" of the fishing boat can be fully realized. Second, fishermen who live at sea far away from their families need not only the function of a home but also emotional support. Therefore, the deep collective feelings experienced by fishermen throughout their long-term life on fishing boats, the teaching of sailing skills from the old to the new fishermen, and their concern about their daily lives have reduced the feeling of distress and loneliness among the fishermen who have been away from home for a long time, giving them the emotional experience of a home. Finally, in terms of mobility, the fixed position and boundaries of the home have been gradually blurred, and the home has gradually been endowed with a broader scope and rich connotations and can be constructed through the imagination of individuals or groups. The experiences of fishermen in the production space in the South China Sea are not limited to the interior of the fishing boat. During their movement across the sea, they acquire a sense of familiarity based on their knowledge of a specific area of the South China Sea and generate an image of the surrounding environment. During their long-term life at sea, fishermen also experience a sense of familiarity and belonging to the natural environment at sea. Through familiarity with features such as place names, orientations, and shapes of the islands and reefs, as well as a keen awareness of the boundaries of the sea area, the South China Sea is gradually considered the homeland image of the "ancestral sea."

Abstract Background Theranostic nanomedicines contain a nanovehicle that has fluorescent properties and can be used for diagnostic, therapeutic and prognostic purposes. The transferrin receptor expression is 1000-fold higher in rapidly growing cancer cells as compared to the normal cells and, therefore, can be used in targeted drug delivery systems. The objective of the present study was to design a novel targeted gold nanoparticle (GNPs)-based theranostic formulation for gastrointestinal (GI) tract-related cancers. The synthesized GNPs were conjugated to transferrin and doxorubicin both separately and collectively to check their cytotoxic properties. The in vitro cytotoxicity of nanocomposites was observed against colon cancer cell line HCT-116. The doxorubicin conjugated nanocomposites showed almost the same cytotoxicity, but more effect at later hours (h). The IC50 and IC100 were 50 µg/ml and 250 µg/ml, respectively, equivalent to the doxorubicin weight for GNP theranostic nanomedicine. Results The maximum effect was observed after 12 h and nanomedicines were still active after 72 h of treatment. Our in vivo data proved that nanomedicine crossed all the barriers and was successfully delivered to the tumour cells. Theranostic nanomedicine’s (TNM) effect on body weight and survival rate on mice was many folds better than mice in pure doxorubicin group. It also showed almost 80% survival rate on day 40. The in vivo and in vitro results show the effects of prolonged drug release and the nanomedicine was not toxic to vital organs of the animal. Conclusion This is one of its kind studies in which a novel targeted nanomedicines approach was formulated for therapeutic as well as prognostic purposes against GI tract cancer. Graphic Abstract

Most of the constitutive model for liquefaction analysis cannot simulate the large post-liquefaction deformation of saturated sand, and there is little research on the nonlinear time-domain large deformation constitutive relationships suitable for seismic response analysis of saturated sand sites. In this paper, a feasible, simple and applicable large deformation constitutive model for time domain analysis is proposed through experimental analysis and theoretical research. The post-liquefaction stress-strain relationships of liquefied sand are obtained based on the undrained cyclic triaxial test data, then loading-reloading rules of large post-liquefaction deformation are proposed. Combined with the effective stress constitutive model based on logarithmic skeleton curve, a constitutive model that can quantitatively describe the large deformation of saturated sand liquefaction is proposed. According to the test results, the constitutive model can simulate small to large deformations from the pre-to post-liquefaction regime of sand. This constitutive model is also implemented to the program Soilresp1D for the dynamic response analysis of liquefiable soil sites. The results show that the time domain nonlinear large deformation unified constitutive model based on the logarithmic dynamic skeleton curve, effective stress-modified logarithmic dynamic skeleton constitutive model and liquefaction large deformation constitutive model can be directly applied to the dynamic response analysis of saturated sand.

Enhancers are short DNA regulatory elements which play a vital role in gene expression. Due to their important roles in genomics, several computational models have been proposed in the literature for identification of enhancers and their strengths using traditional machine learning algorithms, however, the proposed models are unable to identify enhancers and their strength with reasonable accuracy because of high non-linearity in DNA sequences. This article proposes a two-level intelligent model based on Deep Neural Network (DNN) along with multiple feature extraction methods. Firstly, the proposed model represents the given DNA sequences into feature vectors using Pseudo K-tuple Nucleotide Composition (PseKNC) and FastText methods. Secondly, the features vectors are fused to make a heterogeneous features vector that considered the local and global correlation amongst the given sequences along with internal structure information. Finally, the heterogeneous feature vector is given to a DNN model to make final predictions. The proposed iEnhancer-DHF is developed using two-layer approach. The first layer predicts whether the given DNA samples are enhancers or non-enhancers whereas the second layer identifies either the enhancers are strong enhancers or weak enhancers. The outcome of the proposed model was rigorously assessed using both training and independent datasets via 10-fold cross validation method. The validation outcome demonstrated that the iEnhancer-DHF model yielded accuracies 86.07% and 69.60% at first layer and second layer respectively utilizing the training dataset. Similarly, the model yielded accuracies 83.21% and 67.54% at first layer and at second layer respectively by using the independent dataset. Additionally, the outcomes of the proposed model was initially compared with widely applied classifiers such as Support Vector Machine, Random Forest and K-nearest Neighbor and subsequently the performance is compared with the existing models using both the training and independent datasets. The comparison results exhibited that the iEnhancer-DHF model performed superior than the recently published models.

Abstract Background To compare the survival outcomes and neurocognitive dysfunction in non‐small cell lung cancer (NSCLC) patients with brain metastases (BM ≤10) treated by whole‐brain radiotherapy (WBRT) with sequential integrated boost (SEB) or simultaneous integrated boost (SIB). Materials Fifty‐two NSCLC patients with a limited number of BMs were retrospectively analyzed. Twenty cases received WBRT+SEB (WBRT: 3 Gy*10 fractions and BMs: 4 Gy*3 fractions; SEB group), and 32 cases received WBRT+SIB (WBRT: 3 Gy*10 fractions and BMs: 4 Gy*10 fractions; SIB group). The survival and mini‐mental state examination (MMSE) scores were compared between the groups. Results The cumulative 1‐, 2‐, and 3‐year survival rates in the SEB vs SIB groups were 60.0% vs 47.8%, 41.1% vs 19.1%, and 27.4% vs 0%, respectively. The median survival times in the SEB and SIB groups were 15 and 10 months, respectively. The difference in survival rate was significant (P = .046). Subgroup analysis revealed that 1‐, 2‐, and 3‐year survival rates and median survival time in the SEB group were significantly superior to those of the SIB group, especially for male patients (age

Objective To investigate the expression of miRNA-150 and IL-10 in TAMs and its clinicopathological significance in OSCC. Methods Different expression of miRNA in OSCC and control was screened by gene chip. The expression of miRNA-150 and CD68/IL-10 protein in oral tissues from 45 cases of OSCC and 38 cases of normal oral mucosa were detected by qRT-PCR and dual immunofluorescence staining. The relationship between miRNA-150 expression and clinical data was analyzed. Results The expression of miRNA-150 and CD68/IL-10 in OSCC tissues was significantly higher than in normal tissues (P < 0.05). The infiltration of CD68+IL-10+ cells increased, and miRNA-150 was related to pathological staging, tumor differentiation and lymph node metastasis in patients with OSCC (P < 0.05). Conclusion The expression of miRNA-150 and TAM-derived IL-10 in OSCC is increased, suggesting that miRNA-150 may promote phenotype transformation of M2 macrophages participating in immunosuppressive function and oral tumorigenesis.

Structural proteins of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are potential drug targets due to their role in the virus life cycle. The envelope (E) protein is one of the structural proteins; plays a critical role in virulency. However, the emergence of mutations oftenly leads to drug resistance and may also play a vital role in virus stabilization and evolution. In this study, we aimed to identify mutations in E proteins that affect the protein stability. About 0.3 million complete whole genome sequences were analyzed to screen mutations in E protein. All these mutations were subjected to stability prediction using the DynaMut server. The most common mutations that were detected at the C-terminal domain, Ser68Phe, Pro71Ser, and Leu73Phe, were examined through molecular dynamics (MD) simulations for a 100ns period. The sequence analysis shows the existence of 259 mutations in E protein. Interestingly, 16 of them were detected in the DFLV amino acid (aa) motif (aa72-aa75) that binds the host PALS1 protein. The results of root mean square deviation, fluctuations, radius of gyration, and free energy landscape show that Ser68Phe, Pro71Ser, and Leu73Phe are exhibiting a more stabilizing effect. However, a more comprehensive experimental study may be required to see the effect on virus pathogenicity. Potential antiviral drugs, and vaccines may be developed used after screening the genomic variations for better management of SARS-CoV-2 infections.

Introduction. We studied the impact of vibratory stimulation on the electrophysiological features of digital sensory nerve action potential (SNAP). Methods. The antidromic digit 3 SNAP was recorded in 19 healthy adults before, during, and after applying a vibration to either 3rd or 5th metacarpal phalangeal joint (MCPJ) at 60 Hz and amplitude of 2 mm. 100% supramaximal stimulus intensity was performed in 5 subjects (randomly selected from the 19 subjects) where the SNAP sizes were recorded. Results. The amplitude of digit 3 SNAP declined to 58.9±8.6% when a vibration was applied to MCPJ digit 3. These impacts did not change by increasing the electrical stimulus intensity. The SNAP regained its baseline value immediately after the cessation of vibration stimulation. The magnitude of size reduction of digit 3 SNAP was less when vibration was moved to from MCPJ of digit 3 to MCPJ of digit 5. Discussion. The marked drop of the SNAP size during vibratory stimulation reflects the decreased responsiveness of Aβ afferents to electrical stimulation, which deserve further investigation in the study of focal vibration in neurorehabilitation.

Esophageal adenocarcinoma (EAC) is a deadly cancer with high mortality rate, especially in economically advanced countries, while Barrett's esophagus (BE) is reported to be a precursor that strongly increases the risk of EAC. Due to the complexity of these diseases, their molecular mechanisms have not been revealed clearly. This study aims to explore the gene signatures shared between BE and EAC based on integrated network analysis. We obtained EAC- and BE-associated microarray datasets GSE26886, GSE1420, GSE37200, and GSE37203 from the Gene Expression Omnibus and ArrayExpress using systematic meta-analysis. These data were accompanied by clinical data and RNAseq data from The Cancer Genome Atlas (TCGA). Weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) analysis were conducted to explore the relationship between gene sets and clinical traits as well as to discover the key relationships behind the co-expression modules. A differentially expressed gene-based protein–protein interaction (PPI) complex was used to extract hub genes through Cytoscape plugins. As a result, 403 DEGs were excavated, comprising 236 upregulated and 167 downregulated genes, which are involved in the cell cycle and replication pathways. Forty key genes were identified using modules of MCODE, CytoHubba, and CytoNCA with different algorithms. A dark-gray module with 207 genes was identified which having a high correlation with phenotype (gender) in the WGCNA. Furthermore, five shared hub gene signatures (SHGS), namely, pre-mRNA processing factor 4 (PRPF4), serine and arginine-rich splicing factor 1 (SRSF1), heterogeneous nuclear ribonucleoprotein M (HNRNPM), DExH-Box Helicase 9 (DHX9), and origin recognition complex subunit 2 (ORC2), were identified between BE and EAC. SHGS enrichment denotes that RNA metabolism and splicosomes play a key role in esophageal cancer development and progress. We conclude that the PPI complex and WGCNA co-expression network highlight the importance of phenotypic identifying hub gene signatures for BE and EAC.

Background/purpose: Streptococcus sanguinis is an early colonizer of biofilm and plays a key role in the process of adhesion to prosthetic surfaces by facilitating the adhesion of later colonizers. The main aim of this study was to determine if S. sanguinis is affected by the gold concentration dental prosthetic alloys. Materials and methods: Five commonly used alloys with varying degrees of gold concentration were selected for this study. We evaluated the ability of S. sanguinis ATCC strain 10556 to adhere to each of these alloys by counting the number of cells that adhered to each of the tested alloys. Each alloy was also assessed for cell adherence using scanning electron microscopy. One-way analysis of variance and Student–Newman–Keuls comparison test were used for statistical analysis based on cell counts from each well for the test and control groups. Results: The highest concentration of bacterial cells adhered best to pure gold alloy (458±8) followed by 88.4% gold Je alloy (382.33±2), 56% gold Wi alloy (269±4), 2% gold Es alloy (212.33±2), and nongold Re alloy (183±3). Based on the cell counts and scanning electron microscopy observations, there was a clear correlation between gold concentration and S. sanguinis adherence. Conclusion: The findings of this study suggest that alloys with a lower gold concentration may result in lower bacterial colonization rates and may reduce the risk of invasive infections. When choosing an alloy, low gold concentrations may be a better clinical choice.

Pyrazinamide (PZA) is the only drug for the elimination of latent Mycobacterium tuberculosis (MTB) isolates. However, due to the increased number of PZA-resistance, the chances of the success of global TB elimination seems to be more prolonged. Recently, marine natural products (MNPs) as an anti-TB agent have received much attention, where some compounds extracted from marine sponge, Haliclona sp. exhibited strong activity under aerobic and hypoxic conditions. In this study, we screened articles from 1994 to 2019 related to marine natural products (MNPs) active against latent MTB isolates. The literature was also mined for the major regulators to map them in the form of a pathway under the dormant stage. Five compounds were found to be more suitable that may be applied as an alternative to PZA for the better management of resistance under latent stage. However, the mechanism of actions behind these compounds is largely unknown. Here, we also applied synthetic biology to analyze the major regulatory pathway under latent TB that might be used for the screening of selective inhibitors among marine natural products (MNPs). We identified key regulators of MTB under latent TB through extensive literature mining and mapped them in the form of regulatory pathway, where SigH is negatively regulated by RshA. PknB, RshA, SigH, and RNA polymerase (RNA-pol) are the major regulators involved in MTB survival under latent stage. Further studies are needed to screen MNPs active against the main regulators of dormant MTB isolates. To reduce the PZA resistance burden, understanding the regulatory pathways may help in selective targets of MNPs from marine natural sources.

Genetically encoded voltage indicators (GEVIs) enable optical recording of electrical signals in the brain, providing subthreshold sensitivity and temporal resolution not possible with calcium indicators. However, one- and two-photon voltage imaging over prolonged periods with the same GEVI has not yet been demonstrated. Here, we report engineering of ASAP family GEVIs to enhance photostability by inversion of the fluorescence-voltage relationship. Two of the resulting GEVIs, ASAP4b and ASAP4e, respond to 100-mV depolarizations with ≥180% fluorescence increases, compared with the 50% fluorescence decrease of the parental ASAP3. With standard microscopy equipment, ASAP4e enables single-trial detection of spikes in mice over the course of minutes. Unlike GEVIs previously used for one-photon voltage recordings, ASAP4b and ASAP4e also perform well under two-photon illumination. By imaging voltage and calcium simultaneously, we show that ASAP4b and ASAP4e can identify place cells and detect voltage spikes with better temporal resolution than commonly used calcium indicators. Thus, ASAP4b and ASAP4e extend the capabilities of voltage imaging to standard one- and two-photon microscopes while improving the duration of voltage recordings.

A model which enhances the integrity of BLP model was presented based on the BLP model.This model was called as EIBLP model.Some necessary restraints to upward information flow were appended in EIBLP without chang-ing the information flow direction（down-read and up-write） of BLP model and the security axiom,access labels of sub-ject and object,access control operation mode,and state transition policy of BLP model were improved.And then,ana-lyzes the security of EIBLP was analyzed and proved.It shows that the improved EIBLP model not only satisfies com-pletely the basic security of BLP,but also enhances the integrity of BLP with improving the upward restraints,the subject and object access labels,the model operation mode,and the model state translation rules.At the same time,the improved EIBLP raises the confidentiality of BLP at a certain extent.

Motivated by searching room-temperature superconductors that could be realized near ambient conditions, palladium hydrides were chosen as the research subject considering that they can stably exist under ambient conditions, and Li as an electron donor for its outstanding performance in chemically tuning stability. A novel cubic phase structure of Li2PdH6 with a remarkably high estimated Tc of ∼165 K at 90 GPa was found using particle swarm optimization algorithm calculations. The superconducting behavior persists down to 10 GPa with a high Tc of 106.382 K. Even though the parent binary Pd–H system is not a good superconductor, the introduction of extra electrons breaks up the H2 molecules, inducing the increase of atomic hydrogen compared with parent hydride, which is necessary for outstanding superconducting behavior. The existence of relatively soft phonons associated with the H atoms in phonon dispersion curves is responsible for its high-Tc. Our results indicated that the doping of Li to binary hydrides, especially to binary hydrides with low-Tc that exist under ambient pressure, can produce robust phonon-mediated superconductivity. This may be a strategy to design and optimize room-temperature superconductors that can be synthesized under modest pressure. The findings may pave the way for realizing new high-Tc superconductors in experiments under lower pressure than recently documented superconducting hydrides. [ABSTRACT FROM AUTHOR]

Sleep is essential for our well-being, and chronic sleep deprivation has unfavorable health consequences. We recently demonstrated that two familial natural short sleep (FNSS) mutations, DEC2-P384R and Npsr1-Y206H, are strong genetic modifiers of tauopathy in PS19 mice, a model of tauopathy. To gain more insight into how FNSS variants modify the tau phenotype, we tested the effect of another FNSS gene variant, Adrb1-A187V, by crossing mice with this mutation onto the PS19 background. We found that the Adrb1-A187V mutation helped restore rapid eye movement (REM) sleep and alleviated tau aggregation in a sleep-wake center, the locus coeruleus (LC), in PS19 mice. We found that ADRB1+ neurons in the central amygdala (CeA) sent projections to the LC, and stimulating CeAADRB1+ neuron activity increased REM sleep. Furthermore, the mutant Adrb1 attenuated tau spreading from the CeA to the LC. Our findings suggest that the Adrb1-A187V mutation protects against tauopathy by both mitigating tau accumulation and attenuating tau spreading.

The channel capacity of narrowband subliminal channels in one-way function was studied to effectively evaluate the ability of subliminal channels to transmit subliminal messages. The definition of Kobara and Imai on the practical channel capacity of narrowband subliminal channels in information-theoretic view was analyzed and its limitation that the bit error ratio in one-time subliminal communication was not considered was pointed out. The bit error ratio is very important in one-time subliminal communication. A new method to calculate the size of the narrowband subliminal channels is presented to reduce the above limitation, which is very practical in applications.