[Visual object detection system based on augmented reality and steady-state visual evoked potential].

This study investigates a brain-computer interface (BCI) system based on an augmented reality (AR) environment and steady-state visual evoked potentials (SSVEP). The system is designed to facilitate the selection of real-world objects through visual gaze in real-life scenarios. By integrating object detection technology and AR technology, the system augmented real objects with visual enhancements, providing users with visual stimuli that induced corresponding brain signals. SSVEP technology was then utilized to interpret these brain signals and identify the objects that users focused on. Additionally, an adaptive dynamic time-window-based filter bank canonical correlation analysis was employed to rapidly parse the subjects' brain signals. Experimental results indicated that the system could effectively recognize SSVEP signals, achieving an average accuracy rate of 90.6% in visual target identification. This system extends the application of SSVEP signals to real-life scenarios, demonstrating feasibility and efficacy in assisting individuals with mobility impairments and physical disabilities in object selection tasks.

Large Field-like Spin-Orbit Torque and Enhanced Magnetization Switching Efficiency Utilizing Amorphous Mo.

Spin-orbit torque magnetic random access memory (SOT-MRAM) has great promise in high write speed and low power consumption. Mo can play a vital role in constructing a CoFeB/MgO-based MRAM cell because of its ability to enhance the perpendicular magnetic anisotropy (PMA), thermal tolerance, and tunneling magnetoresistance. However, Mo is often considered as a less favorable candidate among SOT materials because of its weak spin-orbit coupling. In this study, we experimentally investigate the SOT efficiencies in Mo/CoFeB/MgO heterostructures over a wide range of Mo thicknesses and temperature. Decent damping-like SOT efficiency |ξDL| = 0.015 ± 0.001 and field-like SOT efficiency |ξFL| = 0.050 ± 0.001 are found in amorphous Mo. The ξFL/ξDL ratio is greater than 3. Furthermore, efficient current-induced magnetization switching is demonstrated with the critical current density comparable with heavy metal Ir and W. Our work reveals new understanding and possibilities for Mo as both an SOT source component and PMA buffer layer in the implementation of SOT-MRAMs.

Dietary therapy of the herbal porridge improves the symptoms of functional dyspepsia: A randomized, double-blind, placebo-controlled, clinical trial.

This study (ISRCTN17174559) aimed to explore the efficacy and safety of a kind of herbal porridge (Hou Gu Mi Xi) on the clinical symptoms of functional dyspepsia (FD). This was a single-center, single-dose, prospective, double-blind, randomized controlled trial involving 64 participants with FD (35 cases and 29 controls) for 2 months of intervention and 1 month of follow-up. The 7-point Global Overall Symptom Scale (GOSS), 36-Item Short Form Survey (SF-36), and other indicators were assessed at baseline (day 0), at days 15, 30, and 60 of treatment, and at follow-up 1 month after the end of the intervention. Many participants with FD achieved remission of their epigastric symptoms at follow-up on the 90th day after treatment with herbal porridge compared to the placebo group (45.71% vs. 20.69%, p = .036). Furthermore, herbal porridge appeared to be effective in improving the quality of life of participants with FD, which was reflected in the rising SF-36 scores for physical role, bodily pain, emotional role, and mental health. Although adverse events were reported, there was no overall difference in the number of adverse events between the two groups (p = .578). Herbal porridge is another effective and safe method for improving the symptoms and quality of life in patients with FD.

Sensitive and Visual Detection of Brassica Yellows Virus Using Reverse Transcription Loop-Mediated Isothermal Amplification-Coupled CRISPR-Cas12 Assay.

Brassica yellows virus (BrYV) is an economically important virus on cruciferous species. In this study, a one-pot reverse transcription loop-mediated isothermal amplification (RT-LAMP) assay coupled with the clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a system was developed for the detection of BrYV. The limit of detection of this method reached 32.8 copies of the BrYV ORF5, which is 100-fold more sensitive than the RT-LAMP method. Moreover, there was no cross-reactivity with other rapeseed-infecting RNA viruses or poleroviruses. We dried the CRISPR/Cas12a reagent in a trehalose and pullulan mixture to retain its efficacy at the RT-LAMP temperature of 63°C in order to allow portable BrYV detection in a water bath. The entire process can be performed in about 1 h, and a positive result can be rapidly and conveniently detected using a handheld UV lamp. In the field, the RT-LAMP-CRISPR/Cas12a assay was accurate and had higher sensitivity than RT-LAMP and reverse transcription-polymerase chain reaction assays. The novel RT-LAMP-CRISPR/Cas12a assay allows convenient, portable, rapid, low-cost, highly sensitive, and specific detection of BrYV and has great potential for on-site monitoring of BrYV.

Deep-agriNet: a lightweight attention-based encoder-decoder framework for crop identification using multispectral images.

The field of computer vision has shown great potential for the identification of crops at large scales based on multispectral images. However, the challenge in designing crop identification networks lies in striking a balance between accuracy and a lightweight framework. Furthermore, there is a lack of accurate recognition methods for non-large-scale crops. In this paper, we propose an improved encoder-decoder framework based on DeepLab v3+ to accurately identify crops with different planting patterns. The network employs ShuffleNet v2 as the backbone to extract features at multiple levels. The decoder module integrates a convolutional block attention mechanism that combines both channel and spatial attention mechanisms to fuse attention features across the channel and spatial dimensions. We establish two datasets, DS1 and DS2, where DS1 is obtained from areas with large-scale crop planting, and DS2 is obtained from areas with scattered crop planting. On DS1, the improved network achieves a mean intersection over union (mIoU) of 0.972, overall accuracy (OA) of 0.981, and recall of 0.980, indicating a significant improvement of 7.0%, 5.0%, and 5.7%, respectively, compared to the original DeepLab v3+. On DS2, the improved network improves the mIoU, OA, and recall by 5.4%, 3.9%, and 4.4%, respectively. Notably, the number of parameters and giga floating-point operations (GFLOPs) required by the proposed Deep-agriNet is significantly smaller than that of DeepLab v3+ and other classic networks. Our findings demonstrate that Deep-agriNet performs better in identifying crops with different planting scales, and can serve as an effective tool for crop identification in various regions and countries.

Multi-omics integration method based on attention deep learning network for biomedical data classification.

BACKGROUND AND OBJECTIVE: Integrating multi-omics data for the comprehensive analysis of the biological processes in human diseases has become one of the most challenging tasks of bioinformatics. Deep learning (DL) algorithms have recently become one of the most promising multi-omics data integration analysis methods. However, existing DL-based studies almost integrate the multi-omics data by concatenation in the input data space or the learned feature space, ignoring the correlations between patients and omics. METHODS: We propose a novel multi-omics integration method, called Multi-omics Attention Deep Learning Network (MOADLN), which is used for biomedical data classification. Firstly, for each type of omics data, we use three fully-connected layers and the self-attention mechanism to reduce dimensionality, and construct the correlations between patients, respectively. Then, we apply the feature vector learned from self-attention to generate the initial category labels. Secondly, for the initial label predicted of each omics data, we use an effective Multi-Omics Correlation Discovery Network (MOCDN) to learn the cross-omic correlations in the label space. Finally, we use the softmax classifier for label prediction. RESULTS: We demonstrate that our method outperforms several state-of-the-art methods on two datasets with mRNA expression data, DNA methylation data, and miRNA expression data. In addition, we identified essential biomarkers of relevant diseases by MOADLN, and the generality of MOADLN is also demonstrated in the KIRP and KIRC datasets. CONCLUSIONS: MOADLN jointly explores correlations between patients in intra-omics and correlations of cross-omics in label space, which is an effective DL-based classification of biomedical data.

The OPEN STOMATA1-SPIRAL1 module regulates microtubule stability during abscisic acid-induced stomatal closure in Arabidopsis.

Drought stress triggers abscisic acid (ABA) signaling in guard cells and induces stomatal closure to prevent water loss in land plants. Stomatal movement is accompanied by reorganization of the cytoskeleton. Cortical microtubules disassemble in response to ABA, which is required for stomatal closure. However, how ABA signaling regulates microtubule disassembly is unclear, and the microtubule-associated proteins (MAPs) involved in this process remain to be identified. In this study, we show that OPEN STOMATA 1 (OST1), a central component in ABA signaling, mediates microtubule disassembly during ABA-induced stomatal closure in Arabidopsis thaliana. We identified the MAP SPIRAL1 (SPR1) as the substrate of OST1. OST1 interacts with and phosphorylates SPR1 at Ser6, which promotes the disassociation of SPR1 from microtubules and facilitates microtubule disassembly. Compared with the wild type, the spr1 mutant exhibited significantly greater water loss and reduced ABA responses, including stomatal closure and microtubule disassembly in guard cells. These phenotypes were restored by introducing the phosphorylated active form of SPR1. Our findings demonstrate that SPR1 positively regulates microtubule disassembly during ABA-induced stomatal closure, which depends on OST1-mediated phosphorylation. These findings reveal a specific connection between a core component of ABA signaling and MAPs.

Molecular Characterization of a Novel Polerovirus Infecting Soybean in China.

Poleroviruses are positive-sense, single-stranded viruses. In this study, we describe the identification of a novel polerovirus isolated from soybean displaying curled leaves. The complete viral genome sequence was identified using high-throughput sequencing and confirmed using rapid amplification of cDNA ends (RACE), RT-PCR and Sanger sequencing. Its genome organization is typical of the members of genus Polerovirus, containing seven putative open reading frames (ORFs). The full genome is composed of single-stranded RNA of 5822 nucleotides in length, with the highest nucleotide sequence identity (79.07% with 63% coverage) for cowpea polerovirus 2 (CPPV2). Amino acid sequence identities of the protein products between the virus and its relatives are below the threshold determined by the International Committee of Taxonomy of Viruses (ICTV) for species demarcation, and this strongly supports this virus' status as a novel species, for which the name soybean chlorotic leafroll virus (SbCLRV) is proposed. Recombination analysis identified a recombination event in the ORF5 of the 3' portion in the genome. Phylogenetic analyses of the genome and encoded protein sequences revealed that the new virus is closely related to phasey bean mild yellows virus, CPPV2 and siratro latent polerovirus. Subsequently, we demonstrated the infectivity of SbCLRV in Nicotiana benthamiana via infectious cDNA clone generation and agroinoculation.

Triplex Immunostrip Assay for Rapid Diagnosis of Tobacco Mosaic Virus, Tobacco Vein Banding Mosaic Virus, and Potato Virus Y.

Mixed virus infection has increasingly become a problem in the production of Solanaceae crops in recent years; therefore, a fast and accurate detection method is needed. In this study, a novel triplex immunostrip assay was developed for the simultaneous detection of tobacco mosaic virus (TMV), tobacco vein banding mosaic virus (TVBMV), and potato virus Y (PVY). The limits of detection of this novel immunostrip reached 200 ppb (ng/ml), 1 ppm (µg/ml), and 2 ppm for TMV, PVY, and TVBMV particles, respectively. Importantly, no cross-reactivity was observed among TMV, TVBMV, and PVY or to a nontarget virus. When the assay was applied to suspected virus-infected tobacco, tomato, and potato samples collected from fields in Southwest China, samples of single or mixed virus infection were successfully identified. In conclusion, the triplex immunostrip assay provides a fast and easy to use on-site detection method for field epidemiological studies of TMV, TVBMV, and PVY, and for managing diseases that are caused by them.

Design and Massaging Force Analysis of Wearable Flexible Single Point Massager Imitating Traditional Chinese Medicine.

In the theory of traditional Chinese medicine, acupoints refer to special points and areas on the meridian line of the human body. Traditional Chinese medicine believes that the application of unique techniques such as pressing, kneading, rubbing, pushing, and patting to acupoints or massage with the help of specific tools has the effects of promoting blood circulation, dredging meridians, and eliminating fatigue. At present, most automatic massage devices are for large-area massage of the trunk, and few are specifically for acupoint massage of the limbs. First, this paper analyzes the characteristics of traditional Chinese medical acupoint massage and then obtains the design index of an automatic acupoint massage device. After that, based on the principle of a series elastic actuating mechanism, a flexible uni-acupoint massage device and control system, imitating the acupoint massage technique of traditional Chinese medicine, were designed. In order to analyze the massage force of the massage device, the man-machine contact dynamic model of the massage device was established, and the force of the massage device was simulated and analyzed. Finally, an experimental platform was built to verify the massage force and massage process of the massage device. The experimental results show that the massage device designed in this paper meets the indexes of traditional Chinese medical massage, in terms of the massage process and massage force, and verify the rationality of the design.

Geminiviruses boost active DNA demethylation for counter-defense.

DNA methylation regulates gene expression under abiotic and biotic stresses. Recently, Gui et al. discovered that geminiviruses subverted DNA methylation-mediated defense through boosting the active DNA demethylation mediated by host DNA glycosylases to promote viral virulence. Their findings reveal a distinctive counter-defense strategy exploited by invading pathogens to achieve successful infection.

Types of Interferons and Their Expression in Plant Systems.

Interferons (IFNs) are divided into 3 types (type I, type II, and type III) on the basis of sequence homology and functional properties. Recombinant IFNs have been approved by regulatory agencies in many countries for clinical treatment of hepatitis B, hepatitis C, and other diseases; these IFNs are mainly produced in microorganisms and mammalian cell systems. However, there are serious obstacles to the production of recombinant IFNs in microorganism systems; for example, the recombinant IFN may have different glycosylation patterns from the native protein, be present in insoluble inclusion bodies, be contaminated with impurities such as endotoxins and nucleic acids, have a short half-life in human blood, and incur high production costs. Some medicinal proteins have been successfully expressed in plants and used in clinical applications, suggesting that plants may also be a good system for IFN expression. However, there are still many technical problems that need to be addressed before the clinical application of plant-expressed IFNs, such as increasing the amount of recombinant protein expression and ensuring that the IFN is modified with the correct type of glycosylation. In this article, we review the classification of IFNs, their roles in antiviral signal transduction pathways, their clinical applications, and their expression in plant systems.

Identification and genome analysis of a tomato zonate spot virus isolate from Bidens pilosa.

Bidens pilosa is a weed species that invades crop areas in tropical and subtropical regions. To date, only two potyviruses have been reported to infect B. pilosa. Here, we report the complete genome sequence of a tomato zonate spot tospovirus (TZSV) isolate from Bidens named TZSV-Bidens. The tripartite RNA of the TZSV-Bidens genome contains L, M, and S segments that are 8912, 4724, and 2997 nt in length, respectively. The genome contains five open reading frames (ORFs), with 92.23-95.01% amino acid sequence identity to the TZSV-YN isolate. Phylogenetic analysis based on amino acid sequences of members of the family Tospoviridae showed that TZSV-Bidens was grouped into a well-supported Eurasian cluster. The intergenic regions (IGRs) of the M and S RNAs are among the most variable regions and are far shorter than those of the TZSV-YN reference genome.

SADLN: Self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition.

Integrating multi-omics data for cancer subtype recognition is an important task in bioinformatics. Recently, deep learning has been applied to recognize the subtype of cancers. However, existing studies almost integrate the multi-omics data simply by concatenation as the single data and then learn a latent low-dimensional representation through a deep learning model, which did not consider the distribution differently of omics data. Moreover, these methods ignore the relationship of samples. To tackle these problems, we proposed SADLN: A self-attention based deep learning network of integrating multi-omics data for cancer subtype recognition. SADLN combined encoder, self-attention, decoder, and discriminator into a unified framework, which can not only integrate multi-omics data but also adaptively model the sample's relationship for learning an accurately latent low-dimensional representation. With the integrated representation learned from the network, SADLN used Gaussian Mixture Model to identify cancer subtypes. Experiments on ten cancer datasets of TCGA demonstrated the advantages of SADLN compared to ten methods. The Self-Attention Based Deep Learning Network (SADLN) is an effective method of integrating multi-omics data for cancer subtype recognition.

Development and application of a full-length infectious clone of potato virus Y isolate belonging to SYR-I strain.

Potato virus Y (PVY) causes huge damage to potato and tobacco production worldwide. The complete genome sequence of GZ, a PVY isolate (strain SYR-I) from Guizhou province, China, was cloned into the binary vector pCambia0390. Three introns were individually inserted into the P3 and CI ORFs to produce plasmid pCamPVY-GZ. The plasmid could infect plants of Nicotiana benthamiana, N. tabacum via agroinfiltration and plants of pepper and potato by mechanical inoculation. The green fluorescence protein gene of Aequoria victoriae was cloned into the encoding regions between nuclear inclusion body 'b' and coat protein genes in pCamPVY-GZ to produce pCamPVY-GZ-GFP, which could infect plants of N. benthamiana, N. tabacum, potato and tomato, and produce green fluorescence in the systemic leaves of inoculated plants. Mutations were introduced to pCamPVY-GZ to make the lysine (K) 391 and glutamic acid (E)410 of helper component-proteinase to arginine (R) and asparagic acid (E), respectively. Unlike wild type PVY-GZ, the mutant PVY-K391R/E410D could not induce veinal necrosis in N. tabacum plants. With an interval of 14 days, mutant PVY-K391R/E410D could protect N. tabacum plants from the infection of severe PVY strain. The results presented here provide a promising alternate for the prevention of diseases caused by PVY.

Integrated analysis of tobacco miRNA and mRNA expression profiles under PVY infection provids insight into tobacco-PVY interactions.

Potato virus Y (PVY) is a globally and economically important pathogen of potato, tobacco, tomato and other staple crops and caused significant yield losses and reductions in quality.To explore the molecular PVY-host interactions, we analysed changes in the miRNA and mRNA profiles of tobacco in response to PVY infection. A total of 81 differentially expressed miRNAs belonging to 29 families and 8133 mRNAs were identified. The Gene Ontology (GO) enrichment analyses showed that genes encoding the DNA/RNA binding, catalytic activity and signalling molecules were all significantly enriched. Moreover, 88 miRNA-mRNA interaction pairs were identified through a combined analysis of the two datasets. We also found evidence showing that the virus-derived siRNAs (vsiRNAs) from the PVY genome target tobacco translationally controlled tumor protein (NtTCTP) mRNA and mediate plant resistance to PVY. Together, our findings revealed that both miRNA and mRNA expression patterns can be changed in response to PVY infection and novel vsiRNA-plant interactions that may regulate plant resistance to PVY. Both provide fresh insights into the virus-plant interactions.

Alteration of gene expression profile in maize infected with a double-stranded RNA fijivirus associated with symptom development.

Maize rough dwarf disease caused by Rice black-streaked dwarf virus (RBSDV) is a major viral disease in China. It has been suggested that the viral infection of plants might cause distinct disease symptoms through the inhibition or activation of host gene transcription. We scanned the gene expression profile of RBSDV-infected maize through oligomer-based microarrays to reveal possible expression changes associated with symptom development. Our results demonstrate that various resistance-related maize genes and cell wall- and development-related genes, such as those for cellulose synthesis, are among the genes whose expression is dramatically altered. These results could aid in research into new strategies to protect cereal crops against viruses, and reveal the molecular mechanisms of development of specific symptoms in rough dwarf-related diseases.