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Formation flight of unmanned aerial vehicles (UAVs) utilizes reconfiguration procedures to handle a variety of emergencies, such as collision avoidance, malfunctions, fuel savings, and member replacement. As UAVs have limited computing power and energy resources, it is necessary to optimize the control inputs to reduce the distance travelled by UAVs while reducing the computing costs during formation reconfiguration. In this paper, the problem of multi-UAV reconfiguration is decoupled into two stages: task assignment and control input optimization of UAVs. For a solution to the above problem, we propose an adaptive hybrid particle swarm optimization and differential evolution algorithm (AHPSODE) to optimize minimize the distance of the total movement and reduce the computing cost of formation reconfiguration. Based on the idea of receding horizon control (RHC) and the nonlinear model of multi-UAV formation reconfiguration, an RHC controller using AHPSODE is designed to optimize the control input of the UAV group to obtain the shortest movement distance, and this method can reduce the computation time. We use the CEC 2017 test suit to test the performance of our proposed AHPSODE algorithm, and simulate the AHPSODE-based RHC controller to manage formation reconfiguration. The results show that our proposed AHPSODE performed well in convergence and accuracy and the RHC controller is effective.

Ubiquitination is an essential posttranslational modification and plays a crucial role in regulating plant immunity by modulating protein activity, stability, abundance and interaction. Recently, major breakthroughs have been made in understanding the mechanisms associated with the regulation of immune signaling by ubiquitination. In this mini review, we highlight the recent advances in the role of ubiquitination in fine-tuning the resistance activated by plant pattern recognition receptors (PRRs) and intracellular nucleotide-binding site and leucine-rich repeat domain receptors (NLRs). We also discuss current understanding of the positive regulation of plant immunity by ubiquitination, including the modification of immune negative regulators and of the guardee proteins monitored by NLRs.

There are currently no pharmacological therapies for calcific aortic valve disease (CAVD). Here, we evaluated the role of protein tyrosine phosphatase 1B (PTP1B) inhibition in CAVD. Up-regulation of PTP1B was critically involved in calcified human aortic valve, and PTP1B inhibition had beneficial effects in preventing fibrocalcific response in valvular interstitial cells and LDLR

In clinical settings, most automatic recognition systems use visual or sensory data to recognize activities. These systems cannot recognize activities that rely on verbal assessment, lack visual cues, or do not use medical devices. We examined speech-based activity and activity-stage recognition in a clinical domain, making the following contributions. (1) We collected a high-quality dataset representing common activities and activity stages during actual trauma resuscitation events-the initial evaluation and treatment of critically injured patients. (2) We introduced a novel multimodal network based on audio signal and a set of keywords that does not require a high-performing automatic speech recognition (ASR) engine. (3) We designed novel contextual modules to capture dynamic dependencies in team conversations about activities and stages during a complex workflow. (4) We introduced a data augmentation method, which simulates team communication by combining selected utterances and their audio clips, and showed that this method contributed to performance improvement in our data-limited scenario. In offline experiments, our proposed context-aware multimodal model achieved F1-scores of 73.2±0.8% and 78.1±1.1% for activity and activity-stage recognition, respectively. In online experiments, the performance declined about 10% for both recognition types when using utterance-level segmentation of the ASR output. The performance declined about 15% when we omitted the utterance-level segmentation. Our experiments showed the feasibility of speech-based activity and activity-stage recognition during dynamic clinical events.

Text-based person search aims at retrieving the target person in an image gallery using a descriptive sentence of that person. The core of this task is to calculate a similarity score between the pedestrian image and description, which requires inferring the complex latent correspondence between image sub-regions and textual phrases at different scales. Transformer is an intuitive way to model the complex alignment by its self-attention mechanism. Most previous Transformer-based methods simply concatenate image region features and text features as input and learn a cross-modal representation in a brute force manner. Such weakly supervised learning approaches fail to explicitly build alignment between image region features and text features, causing an inferior feature distribution. In this paper, we present CFLT, Conditional Feature Learning based Transformer. It maps the sub-regions and phrases into a unified latent space and explicitly aligns them by constructing conditional embeddings where the feature of data from one modality is dynamically adjusted based on the data from the other modality. The output of our CFLT is a set of similarity scores for each sub-region or phrase rather than a cross-modal representation. Furthermore, we propose a simple and effective multi-modal re-ranking method named Re-ranking scheme by Visual Conditional Feature (RVCF). Benefit from the visual conditional feature and better feature distribution in our CFLT, the proposed RVCF achieves significant performance improvement. Experimental results show that our CFLT outperforms the state-of-the-art methods by 7.03% in terms of top-1 accuracy and 5.01% in terms of top-5 accuracy on the text-based person search dataset.

IntroductionEarly monolingual versus bilingual experience affects linguistic and cognitive processes during the first months of life, as well as functional activation patterns. The previous study explored the influence of a bilingual environment in the first months of life on resting-state functional connectivity and reported no significant difference between language groups.MethodsTo further explore the influence of a bilingual environment on brain development function, we used the resting-state functional near-infrared spectroscopy public dataset of the 4-month-old infant group in the sleep state (30 Spanish; 33 Basque; 36 bilingual). Wavelet Transform Coherence, graph theory, and Granger causality methods were performed on the functional connectivity of the frontal lobes.ResultsThe results showed that functional connectivity strength was significantly higher in the left hemisphere than that in the right hemisphere in both monolingual and bilingual groups. The graph theoretic analysis showed that the characteristic path length was significantly higher in the left hemisphere than in the right hemisphere for the bilingual infant group. Contrary to the monolingual infant group, the left-to-right direction of information flow was found in the frontal regions of the bilingual infant group in the effective connectivity analysis.DiscussionThe results suggested that the left hemispheric lateralization of functional connectivity in frontal regions is more pronounced in the bilingual group compared to the monolingual group. Furthermore, effective connectivity analysis may be a useful method to investigate the resting-state brain networks of infants.

The loss of function of exocyst subunit EXO70B1 leads to autoimmunity, which is dependent on TIR-NBS2 (TN2), a truncated intracellular nucleotide-binding and leucine-rich repeat receptor (NLR). However, how TN2 triggers plant immunity and whether typical NLRs are required in TN2-activated resistance remain unclear. Through the CRISPR/Cas9 gene editing system and knockout analysis, we found that the spontaneous cell death and enhanced resistance in exo70B1-3 were independent of the full-length NLR SOC3 and its closest homolog SOC3-LIKE 1 (SOC3-L1). Additionally, knocking out SOC3-L1 or TN2 did not suppress the chilling sensitivity conferred by chilling sensitive 1-2 (chs1-2). The ACTIVATED DISEASE RESISTANCE 1 (ADR1) family and the N REQUIREMENT GENE 1 (NRG1) family have evolved as helper NLRs for many typical NLRs. Through CRISPR/Cas9 gene editing methods, we discovered that the autoimmunity of exo70B1-3 fully relied on ADR1s, but not NRG1s, and ADR1s contributed to the upregulation of TN2 transcript levels in exo70B1-3. Furthermore, overexpression of TN2 also led to ADR1-dependent autoimmune responses. Taken together, our genetic analysis highlights that the truncated TNL protein TN2-triggered immune responses require ADR1s as helper NLRs to activate downstream signaling, revealing the importance and complexity of ADR1s in plant immunity regulation.

Background The value of double filtration plasmapheresis (DFPP) in severe hypertriglyceridemia-induced pancreatitis (sHTGP) is controversial. This study aimed to investigate the efficacy of DFPP on clinical results in patients with sHTGP and the costs associated with the procedure. Methods Patients who underwent DFPP after admission between January 2016 and December 2021 were recruited. Data on lipid profile, clinical results, and costs were retrospectively collected and analyzed. Results Fifty sHTGP patients who received DFPP were enrolled. All of the lipid profile were significantly reduced and maintained a downward trend. The APACHE II score on admission was higher and the reduction after DFPP was more obvious (P P

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The high salt-alkalinity of bauxite residue (BR) hinders plant growth and revegetation of bauxite residue disposal areas (BRDA), which cause serious potential environmental and ecological risks. Bioneutralization is a promising method for improving the properties of BR and plant colonization. In the present study, a strong saline-alkali tolerant bacteria (ZH-1) was isolated from aged BR and identified as Bacillus sp. The medium of ZH-1 was optimized by orthogonal tests, and ZH-1 could decrease the medium pH from 11.8 to 6.01 (agitated culture) and 6.48 (static culture) by secretion of citric acid, oxalic acid and tartaric acid. With the inoculation of ZH-1, the pH of BR decreased from 11.6 to 8.76, and the water-soluble salt in BR increased by 68.11%. ZH-1 also changed the aggregate size distribution of BR, the mechanical-stable aggregates and water-stable aggregates increased by 18.76% and 10.83%, respectively. At the same time, the stability of the aggregates obviously increased and the destruction rate decreased from 94.37% to 73.46%. In addition, the microbial biomass carbon increased from 425 to 2794 mg/kg with the inoculation of ZH-1. Bacterial community analysis revealed that Clostridia, Bacilli, Gammaproteobacteria, Betaproteobacteria and Alphaproteobacteria were the main classes in the naturalized BR, and the inoculation of ZH-1 increased the diversity of bacteria in the BR. Overall, ZH-1 has great potential for neutralization and improvement the properties of BR and may be greatly beneficial for the revegetation of BRDA.

As more and more people stay inside the building for a long time, the indoor environment has a great effect on their health, mood, and work efficiency. Electroencephalography (EEG) signals reflect electrical activity originating from neuronal firing when a task or activity is performed. Since there was no study on the effect of indoor air on nerves, this study utilized EEG to preliminarily explore the brain functions of subjects during working memory tasks with different difficulties. The subjects were divided into two groups according to the volatile organic compounds (VOCs) as odor irritants in the air. We expected to find the difference in subjects' EEG signals between VOCs and low-VOCs. The EEG signals from 60 electrodes were analyzed by event-related potential (ERP), event-related spectral power (ERSP), and correlation network methods to describe the brain activity. We compared the results of subjects in VOCs and low-VOCs and found significant differences between ERP and ERSP in the alpha band during a simple working memory task. Subjects were more sensitive to the VOCs in simple tasks than in complex tasks. Our work provided evidence of odor effects on brain functions and could be used to guide the design of indoor odor in home, offices, and classrooms.

Declined function of aged mesenchymal stem cells (MSCs) diminishes the benefits of cell therapy for myocardial infarction (MI). Our previous study has demonstrated that SRT1720, a specific SIRT1 activator, could protect aged human MSCs (hMSCs) against apoptosis. The purpose of the present study was to investigate the role of mitochondria in the antiapoptotic effects of SRT1720. In addition, we established a nonhuman primate MI model to evaluate cell engraftment of SRT1720-pretreated aged hMSCs (SRT1720-OMSCs). A hydrogen peroxide (H

BackgroundBrain structural alterations and their clinical significance of myelin oligodendrocyte glycoprotein antibody disease (MOGAD) have not been determined.MethodsWe recruited 35 MOGAD, 38 aquaporin 4 antibody positive neuromyelitis optica spectrum diseases (AQP4+ NMOSD), 37 multiple sclerosis (MS) and 60 healthy controls (HC) who underwent multimodal brain MRI from two centres. Brain lesions, volumes of the whole brain parenchyma, cortical and subcortical grey matter (GM), brainstem, cerebellum and cerebral white matter (WM) and diffusion measures (fractional anisotropy, FA and mean diffusivity, MD) were compared among the groups. Associations between the MRI measurements and the clinical variables were assessed by partial correlations. Logistic regression was performed to differentiate MOGAD from AQP4+ NMOSD and MS.ResultsIn MOGAD, 19 (54%) patients had lesions on MRI, with cortical/juxtacortical (68%) as the most common location. MOGAD and MS showed lower cortical and subcortical GM volumes than HC, while AQP4+ NMOSD only demonstrated a decreased cortical GM volume. MS demonstrated a lower cerebellar volume, a lower FA and an increased MD than MOGAD and HC. The subcortical GM volume was negatively correlated with Expanded Disability Status Scale in MOGAD (R=−0.51; p=0.004). A combination of MRI and clinical measures could achieve an accuracy of 85% and 93% for the classification of MOGAD versus AQP4+ NMOSD and MOGAD versus MS, respectively.ConclusionMOGAD demonstrated cortical and subcortical atrophy without severe WM rarefaction. The subcortical GM volume correlated with clinical disability and a combination of MRI and clinical measures could separate MOGAD from AQP4+ NMOSD and MS.

Herein we report a Pd-catalyzed C–N bond cleavage strategy for the cycloaddition of pyrrolidines with azlactones or butenolides to construct the azepines. Leverage of the readily accessible 3-alkyl...

Calcium is a crucial second messenger in plant cells and contributes to plant resistance against biotic and abiotic stress. Plant defense priming with natural or synthetic compounds leads to quicker and stronger resistance responses. However, whether pretreatment of plant seeds with calcium could improve their resistance to stress remains poorly understood. In this study, we showed that rice seedlings grown from calcium chloride (CaCl

Background: The impact of myelin oligodendrocyte glycoprotein antibody disease (MOGAD) on brain structure and function is unknown. Objectives: The aim of this study was to study the multimodal brain MRI alterations in MOGAD and to investigate their clinical significance. Methods: A total of 17 MOGAD, 20 aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders (AQP4 + NMOSD), and 28 healthy controls (HC) were prospectively recruited. Voxel-wise gray matter (GM) volume, fractional anisotropy (FA), mean diffusivity (MD), and degree centrality (DC) were compared between groups. Clinical associations and differential diagnosis were determined using partial correlation and stepwise logistic regression. Results: In comparison with HC, MOGAD had GM atrophy in frontal and temporal lobe, insula, thalamus, and hippocampus, and WM fiber disruption in optic radiation and anterior/posterior corona radiata; DC decreased in cerebellum and increased in temporal lobe. Compared to AQP4 + NMOSD, MOGAD presented lower GM volume in postcentral gyrus and decreased DC in cerebellum. Hippocampus/parahippocampus atrophy associated with Expanded Disability Status Scale ( R = −0.55, p = 0.04) and California Verbal Learning Test ( R = 0.62, p = 0.031). The differentiation of MOGAD from AQP4 + NMOSD achieved an accuracy of 95% using FA in splenium of corpus callosum and DC in occipital gyrus. Conclusion: Distinct structural and functional alterations were identified in MOGAD. Hippocampus/parahippocampus atrophy associated with clinical disability and cognitive impairment.

Mitogen-activated protein kinase (MAPK) cascades are highly conserved signaling modules that regulate plant immune responses. The Arabidopsis thaliana Raf-like MAPK kinase kinase ENHANCED DISEASE RESISTANCE1 (EDR1) is a key negative regulator of plant immunity that affects the protein levels of MKK4 and MKK5, two important MAPK cascade members, but the underlying mechanism is poorly understood. Here, genome-wide phosphorylation analysis demonstrated that the E3 ligase KEEP ON GOING (KEG) is phosphorylated in the edr1 mutant but not the wild type, suggesting that EDR1 negatively affects KEG phosphorylation. The identified phosphorylation sites in KEG appear to be important for its accumulation. The keg-4 mutant, a previously identified edr1 suppressor, enhances susceptibility to the powdery mildew pathogen Golovinomyces cichoracearum. In addition, MKK4 and MKK5 protein levels are reduced in the keg-4 mutant. Furthermore, we demonstrate that MKK4 and MKK5 associate with full-length KEG, but not with truncated KEG-RK or KEG-RKA, and that KEG ubiquitinates and mediates the degradation of MKK4 and MKK5. Taken together, these results indicate that MKK4 and MKK5 protein levels are regulated by KEG via ubiquitination, uncovering a mechanism by which plants fine-tune immune responses by regulating the homeostasis of key MAPK cascade members via ubiquitination and degradation.

The plasma membrane (PM)-localized receptor kinase FLAGELLIN SENSING 2 (FLS2) recognizes bacterial flagellin or its immunogenic epitope flg22, and initiates microbe-associated molecular pattern-triggered immunity, which inhibits infection by bacterial pathogens. The localization, abundance and activity of FLS2 are under dynamic control. Here, we demonstrate that Arabidopsis thaliana EXO70B1, a subunit of the exocyst complex, plays a critical role in FLS2 signaling that is independent of the truncated Toll/interleukin-1 receptor-nucleotide binding sequence protein TIR-NBS2 (TN2). In the exo70B1-3 mutant, the abundance of FLS2 protein at the PM is diminished, consistent with the impaired flg22 response of this mutant. EXO70B1-GFP plants showed increased FLS2 accumulation at the PM and therefore enhanced FLS2 signaling. The EXO70B1-mediated trafficking of FLS2 to the PM is partially independent of the PENETRATION 1 (PEN1)-containing secretory pathway. In addition, EXO70B1 interacts with EXO70B2, a close homolog of EXO70B1, and both proteins associate with FLS2 and contribute to the accumulation of FLS2 at the PM. Taken together, our data suggest that the exocyst complex subunits EXO70B1 and EXO70B2 regulate the trafficking of FLS2 to the PM, which represents a new layer of regulation of FLS2 function in plant immunity.

Background. The poor survival rates of transplanted mesenchymal stem cells (MSCs) in harsh microenvironments impair the efficacy of MSCs transplantation in myocardial infarction (MI). Extrinsic apoptosis pathways play an important role in the apoptosis of transplanted MSCs, and Fas apoptosis inhibitory molecule (FAIM) is involved in regulation of the extrinsic apoptosis pathway. Thus, we aimed to explore whether FAIM augmentation protects MSCs against stress-induced apoptosis and thereby improves the therapeutic efficacy of MSCs. Methods. We ligated the left anterior descending coronary artery (LAD) in the mouse heart to generate an MI model and then injected FAIM-overexpressing MSCs (MSCsFAIM) into the peri-infarction area in vivo. Moreover, FAIM-overexpressing MSCs were challenged with oxygen, serum, and glucose deprivation (OGD) in vitro, which mimicked the harsh microenvironment that occurs in cardiac infarction. Results. FAIM was markedly downregulated under OGD conditions, and FAIM overexpression protected MSCs against OGD-induced apoptosis. MSCsFAIM transplantation improved cell retention, strengthened angiogenesis, and ameliorated heart function. The antiapoptotic effect of FAIM was mediated by cellular-FLICE inhibitory protein (c-FLIP), and FAIM augmentation improved the protein expression of c-FLIP by reducing ubiquitin–proteasome-dependent c-FLIP degradation. Furthermore, FAIM inhibited the activation of JNK, and treatment with the JNK inhibitor SP600125 abrogated the reduction in c-FLIP protein expression caused by FAIM silencing. Conclusions. Overall, these results indicated that FAIM curbed the JNK-mediated, ubiquitination–proteasome-dependent degradation of c-FLIP, thereby improving the survival of transplanted MSCs and enhancing their efficacy in MI. This study may provide a novel approach to strengthen the therapeutic effect of MSC-based therapy.

Neosporosis is caused by Neospora caninum (N. caninum), which mainly infects cattle and goats and severely threatens the animal industry. In this study, the inhibitory effects of polyclonal antiserum anti-NcSRS17, NcSRS2 and NcSRS52 were explored. Cytokines in mice or goat serum were detected after immunization. After infection, the survival of mice was recorded. The pathological changes and parasite loads were observed and detected in tissues. The results showed that anti-NcSRS2, NcSRS17 and NcSRS52 antibodies all inhibit the invasion and proliferation of N. caninum. The IFN-γ level in the NcSRS17 group was higher than that in the NcSRS2 and NcSRS52 groups, and higher in the NcSRS2-mIL-18 group than in the NcSRS2 group. The survival rates of mice were 16% in the positive control group, 67% in the SRS52 group, 83% in the SRS2 and mIL-18 groups and 100% in the SRS17 and SRS2-mIL-18 groups. Goats immunized with NcSRS17-gIL-18 developed high levels of IL-4, IL-12 and IFN-γ compared with those immunized with NcSRS-17. Parasite loads in the brains of animals in the NcSRS17 and NcSRS17-gIL-18 groups were significantly reduced, and were significantly lower in the NcSRS17-gIL-18 group (p ≤ 0.01). This study indicates that SRS17 may be an antigen candidate for vaccine development against neosporosis, and IL-18 can enhance the immune protective efficiency of antigen candidates.

Background: Optic neuritis (ON) is an important clinical manifestation of neuromyelitis optic spectrum disease (NMOSD). Myelin oligodendrocyte glycoprotein (MOG) antibody-related and aquaporin 4 (AQP4) antibody-related ON show different disease patterns. The aim of this study was to explore the differences in structure and function of the visual pathway in patients with ON associated with MOG and AQP4 antibodies.Methods: In this prospective study, we recruited 52 subjects at Beijing Tiantan Hospital, including 11 with MOG Ig+ ON (MOG-ON), 13 with AQP4 Ig+ ON (AQP4-ON), and 28 healthy controls (HCs). Fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) of optic radiation (OR), primary visual cortex volume (V1), brain volume, and visual acuity (VA) were compared among groups. A multiple linear regression was used to explore associations between VA and predicted factors. In addition, we used optical coherence tomography (OCT) to examine thickness of the peripapillary retinal nerve fiber layer (pRNFL) and retinal ganglion cell complex (GCC) in a separate cohort consisting of 15 patients with ON (8 MOG-ON and 7 AQP4-ON) and 28 HCs.Results: Diffusion tensor imaging showed that the FA of OR was lower than controls in patients with AQP4-ON (p = 0.001) but not those with MOG-ON (p = 0.329) and was significantly different between the latter two groups (p = 0.005), while V1 was similar in patients with MOG-ON and AQP4-ON (p = 0.122), but was lower than controls in AQP4-ON (p = 0.002) but not those with MOG-ON (p = 0.210). The VA outcomes were better in MOG-ON than AQP4-ON, and linear regression analysis revealed that VA in MOG-ON and AQP4-ON was both predicted by the FA of OR (standard β = −0.467 and −0.521, p = 0.036 and 0.034). Both patients of MOG-ON and AQP4-ON showed neuroaxonal damage in the form of pRNFL and GCC thinning but showed no statistically significant difference (p = 0.556, 0.817).Conclusion: The structural integrity of OR in patients with MOG-ON, which is different from the imaging manifestations of AQP4-ON, may be a reason for the better visual outcomes of patients with MOG-ON.

Cupping therapy is a promising method to cure or reduce symptoms of some diseases including muscle pain/tenderness/fatigue. Although the applications of cupping therapy have a thousand-year history in traditional Chinese medicine and have been spread to other countries in recent years, cupping therapy is something like a black box, and the unskilled user can hardly control it due to the absence of physiological observations. In this study, we developed a NIRS instrument with three probes to detect the blood-oxygen level of the skin tissue where the cupping therapy is being carried out. Each probe includes two detection channels. One of the probes is embedded in the cup to monitor the hemodynamic parameters in the cupping site, and the other two probes are placed outside, surrounding the cupping site. Using this monitor, we can observe the changes in oxy-hemoglobin ([HbO2]), deoxy-hemoglobin ([Hb]), and total hemoglobin ([tHb]), as well as the heart rate, calculated from the change curves of [HbO2] during cupping therapy in real time. Therefore, the doctor or other users can see the impact of cupping on the tissues to which it is applied which should facilitate the development and understanding of the application of cupping.

With the assistance of innovative approaches driven by nanotechnology, engineering 2D materials into designed architectures or desired structures could tailor the electronic structure into an appropriate energy band structure, tuning the properties of the materials to be a predictable manner. Here we systematically studied the role that the structural distortion plays in the magnetism by taking two-dimensional metal-free graphitic-C3N4 as an example. Through the controllable structural distortion engineering introduced by post-heat-treatment in the experiment, the ferromagnetism is observed in graphitic-C3N4 nanosheets, which benefits from the electronic structural deformation, showing intriguing structural distortion-dependent ferromagnetism. This study not only offers new insight into the in-depth understanding of the structural distortion effect on the magnetism, but also provides a new way for searching and designing new magnetic materials.

The dictionary learning algorithm has been successfully applied to electronic noses because of its high recognition rate. However, most dictionary learning algorithms use l0-norm or l1-norm to regularize the sparse coefficients, which means that the electronic nose takes a long time to test samples and results in the inefficiency of the system. Aiming at accelerating the recognition speed of the electronic nose system, an efficient dictionary learning algorithm is proposed in this paper where the algorithm performs a multi-column atomic update. Meanwhile, to solve the problem that the singular value decomposition of the k-means (K-SVD) dictionary has little discriminative power, a novel classification model is proposed, a coefficient matrix is achieved by a linear projection to the training sample, and a constraint is imposed where the coefficients in the same category should keep a large coefficient and be closer to their class centers while coefficients in the different categories should keep sparsity. The algorithm was evaluated and analyzed based on the comparisons of several traditional classification algorithms. When the dimension of the sample was larger than 10, the average recognition rate of the algorithm was maintained above 92%, and the average training time was controlled within 4 s. The experimental results show that the improved algorithm is an effective method for the development of an electronic nose.

We present a speech-based approach to recognize team activities in the context of trauma resuscitation. We first analyzed the audio recordings of trauma resuscitations in terms of activity frequency, noise-level, and activity-related keyword frequency to determine the dataset characteristics. We next evaluated different audio-preprocessing parameters (spectral feature types and audio channels) to find the optimal configuration. We then introduced a novel neural network to recognize the trauma activities using a modified VGG network that extracts features from the audio input. The output of the modified VGG network is combined with the output of a network that takes keyword text as input, and the combination is used to generate activity labels. We compared our system with several baselines and performed a detailed analysis of the performance results for specific activities. Our results show that our proposed architecture that uses Mel-spectrum spectral coefficients features with a stereo channel and activity-specific frequent keywords achieve the highest accuracy and average F1-score.

Cupping therapy is a promising method to cure or reduce symptoms of some diseases including muscle pain/tenderness/fatigue. Although the applications of cupping therapy have a thousand-year history in traditional Chinese medicine and have been spread to other countries in recent years, cupping therapy is something like a black box, and the unskilled user can hardly control it due to the absence of physiological observations. In this study, we developed a NIRS instrument with three probes to detect the blood-oxygen level of the skin tissue where the cupping therapy is being carried out. Each probe includes two detection channels. One of the probes is embedded in the cup to monitor the hemodynamic parameters in the cupping site, and the other two probes are placed outside, surrounding the cupping site. Using this monitor, we can observe the changes in oxy-hemoglobin ([HbO2]), deoxy-hemoglobin ([Hb]), and total hemoglobin ([tHb]), as well as the heart rate, calculated from the change curves of [HbO2] during cupping therapy in real time. Therefore, the doctor or other users can see the impact of cupping on the tissues to which it is applied which should facilitate the development and understanding of the application of cupping.

Memory shortness, verbal influence, and disturbed attention are a few of the cognitive dysfunctions reported by individuals of bipolar disorder in depression phase (BD-D). As neuroimaging modalities can investigate such responses, therefore neuroimaging methods can be used to assist the diagnosis of bipolar disorder (BD). Functional near-infrared spectroscopy (fNIRS) is a neural imaging method that is proved to be prominent in the diagnosis of psychiatric disorders. It is the desired method because of its feasible setup, high resolution in time, and its partial resistance to head movements. This study aims to investigate the brain activity in subjects of BD-D during cognitive tasks compared to the healthy controls. A decreased activation level is expected in individuals of BD-D as compared to the healthy controls. This study aims to find new methods and experimental paradigms to assist in the diagnosis of bipolar depression. Participants of BD-D and healthy controls (HC) performed four cognitive tasks including verbal fluency task (VFT), symbol working memory task (symbol check), attention task (spotter) and multiple cognitive task (code break). fNIRS was used to measure levels of oxy-hemoglobin (HbO) representing the brain activity. The generalized linear model (GLM) method was used to estimate the hemodynamic response related to the task. The wavelet transform coherence (WTC) method was used to calculate the intra-hemispheric functional connectivity. We also analyzed the correlation between hemodynamic response and scores of psychiatric disorders. Results showed decreased levels of HbO in BD-D groups compared to the HC, indicating lower activity, during the tasks except for spotter. The difference between BD-D and HC was significant during VFT, symbol check and code break. Group difference during symbol working memory was significant both in brain activity and connectivity. Meanwhile, the individual brain activity during working memory is more related to the illness degree. Lower activity in BD-D reflects unspecific dysfunctions. Compared with other cognitive tasks, the single-trial symbol-check task may be more suitable to help the diagnosis of bipolar depression.

Diffuse optical tomography (DOT) is a noninvasive biomedical imaging method to reconstruct optical property distribution. Since the underdetermined characteristic of reconstruction process, a priori information such as the structure provided by multimodal images are beneficial for imaging quality. We introduce a deep convolutional neural network-based method to rapidly calculate the heterogenous region by the diffusive intensity distribution measured by the same device used for DOT imaging. The process is based on a convolutional forward model which can accurately calculate the diffusive light intensity distribution with known structure and corresponding optical properties. The heterogeneous region imaging network is the inverse of the forward model and trained with Monte Carlo simulation results. The trained inverse network achieves the imaging sensitivity and specificity of 0.91 and 0.89 for validation data-set and the reconstruction speed is under 0.1s peer image.

Background Poor cell survival after transplantation restricts the therapeutic potential of mesenchymal stem cell (MSC) transplantation into infarcted hearts, particularly in older individuals. TPP1, a component of the shelterin complex that is involved in telomere protection, is highly expressed in young MSCs but declines in aged ones. Here, we explore whether TPP1 overexpression in aged mouse MSCs improves cell viability in vivo and in vitro. Methods Aged mouse MSCs overexpressing TPP1 were injected into the peri-infarct area of the mouse heart after left anterior descending coronary artery ligation. In parallel, to evaluate cellular-level effects, H2O2 was applied to MSCs in vitro to mimic the microenvironment of myocardial injury. Results In vivo, the transplantation of aged MSCs overexpressing TPP1 resulted in improved cell survival, enhanced cardiac function, and reduced fibrosis compared to unmodified aged MSCs. In vitro, TPP1 overexpression protected aged MSCs from H2O2-induced apoptosis and enhanced DNA double-strand break (DSB) repair. In addition, the phosphorylation of AKT and the key DSB repair protein MRE11 were both significantly upregulated in aged MSCs that overexpressed TPP1. Conclusions Our results reveal that TPP1 can enhance DNA repair through the AKT/MRE11 pathway, thereby improving the therapeutic effects of aged MSC transplantation and offering significant potential for the clinical application of autologous transplantation in aged patients.

Calcific aortic valve disease (CAVD) is the most common valvular heart disease in adults. The cellular mechanisms of CAVD are still unknown, but accumulating evidence has revealed that osteogenic differentiation of human valve interstitial cells (hVICs) plays an important role in CAVD. Thus, we aimed to investigate the function of estrogen-related receptor α (ERRα) in the osteogenic differentiation of hVICs. We found that the level of ERRα was significantly increased in CAVD samples compared to normal controls. In addition, ERRα was significantly upregulated during hVIC osteogenic differentiation in vitro. Gain- and loss-of-function experiments were performed to identify the function of ERRα in hVIC calcification in vitro. Inhibition of endogenous ERRα attenuated hVIC calcification, whereas overexpression of ERRα in hVICs promoted this process. RNA sequencing results suggested that heme oxygenase-1 (Hmox1) was a downstream target of ERRα, which was further confirmed by western blotting. Additionally, we also found that downregulation of Hmox1 by shHmox1 efficiently reversed the inhibition of calcification induced by ERRα shRNA in hVICs. ChIP-qPCR and luciferase assays indicated that Hmox1 was negatively regulated by ERRα. We found that overexpression of Hmox1 or its substrates significantly inhibited hVIC calcification in vitro. In conclusion, we found that knockdown of ERRα can inhibit hVIC calcification through upregulating Hmox1 and that ERRα and Hmox1 are potential targets for the treatment of CAVD.

Aims Calcific aortic valve disease (CAVD) is a primary cause of cardiovascular mortality; however, its mechanisms are unknown. Currently, no effective pharmacotherapy is available for CAVD. Aldo-keto reductase family 1 member B (Akr1B1) has been identified as a potential therapeutic target for valve interstitial cell calcification. Herein, we hypothesized that inhibition of Akr1B1 can attenuate aortic valve calcification. Methods and results Normal and degenerative tricuspid calcific valves from human samples were analyzed by immunoblotting and immunohistochemistry. The results showed significant upregulation of Akr1B1 in CAVD leaflets. Akr1B1 inhibition attenuated calcification of aortic valve interstitial cells in osteogenic medium. In contrast, overexpression of Akr1B1 aggravated calcification in osteogenic medium. Mechanistically, using RNA sequencing (RNAseq), we revealed that Hippo-YAP signaling functions downstream of Akr1B1. Furthermore, we established that the protein level of the Hippo-YAP signaling effector active-YAP had a positive correlation with Akr1B1. Suppression of YAP reversed Akr1B1 overexpression-induced Runx2 upregulation. Moreover, YAP activated the Runx2 promoter through TEAD1 in a manner mediated by ChIP and luciferase reporter systems. Animal experiments showed that the Akr1B1 inhibitor epalrestat attenuated aortic valve calcification induced by a Western diet in LDLR−/− mice. Conclusion This study demonstrates that inhibition of Akr1B1 can attenuate the degree of calcification both in vitro and in vivo. The Akr1B1 inhibitor epalrestat may be a potential treatment option for CAVD.

Supplemental material, MSJ964415_supplemental_material for Brain structural and functional alterations in MOG antibody disease by Zhizheng Zhuo, Yunyun Duan, Decai Tian, Xinli Wang, Chenyang Gao, Jinli Ding, Fenglian Zheng, Tian Zhang, Xinghu Zhang, Frederik Barkhof, Fu-Dong Shi and Yaou Liu in Multiple Sclerosis Journal

There are some processing problems of imbalanced data such as imbalanced data sets being difficult to integrate efficiently. This paper proposes and constructs a mixed penalty function data integration screening criterion, and proposes Differential Evolution Integration Algorithm Based on Mixed Penalty Function Screening Criteria (DE-MPFSC algorithm). In addition, the theoretical validity and the convergence of the DE-MPFSC algorithm are analyzed and proven by establishing the Markov sequence and Markov evolution process model of the DE-MPFSC algorithm. In this paper, the entanglement degree and enanglement degree error are introduced to analyze the DE-MPFSC algorithm. Finally, the effectiveness and stability of the DE-MPFSC algorithm are verified by UCI machine learning datasets. The test results show that the DE-MPFSC algorithm can effectively improve the effectiveness and application of imbalanced data classification and integration, improve the internal classification of imbalanced data and improve the efficiency of data integration.

Due to the open nature of the UAV network, its external environment is complex, potentially risky, and vulnerable to a variety of attacks. The attacker will destroy the connection between the drones, intercept the information transmitted on the communication link, and interfere with the mission messages between the drones, thus requiring us to encrypt the data between the UAV nodes. The current mainstream UAV network communication uses a symmetric encryption algorithm, which is faster but less robust against network packet loss problems. The innovation of this paper is to propose an encryption communication scheme based on SM4 algorithm, and improve the stream encryption mode (CTR) of SM4 algorithm. Compared with the traditional SM4 CTR algorithm, the encryption and decryption speed is improved by 7.7%, and ChaCha20 flow Encryption algorithms are more tolerant of packet loss.

The development of metal oxide semiconductors-based gas sensors that can simultaneously achieve high response and low detection limit towards formaldehyde (HCHO) remains a great challenge so far. In this work, we present the formation of porous SnO2 nanosheets via direct calcination of a Sn-based metal-organic framework that was prepared via a facile wet chemistry method with deionized water as solvent at 80 °C. The porous SnO2 nanosheets are found to be constructed by the interconnection of ultrafine nanoparticles with sizes of 4–9 nm, which is comparable to the Debye length of SnO2. The gas sensor based on the porous SnO2 nanosheets demonstrate a broad detection range towards HCHO (0.05–500 ppm), a low operating temperature (140 °C), very high response (540.8 to 50 ppm HCHO), extremely low detection limit (0.31 ppb), ideal selectivity, and outstanding reproducibility and durability. The excellent HCHO-sensing performance of the SnO2 sensor could be attributed to the high specific surface area (125.92 m2/g) of the porous SnO2 nanosheets, the ultrafine sizes of the SnO2 nanoparticles, and the presence of abundant of mesopores within the nanosheets. The porous SnO2 nanosheets with excellent HCHO-sensing characteristics may find widespread applications in fabricating gas sensors for detecting ppb-level HCHO.

A low-jitter full-rate 25-Gb/s clock and data recovery (CDR) chip for 100-Gb/s optical interconnects is proposed. Fabricated in 0.13-μm SiGe BiCMOS technology, the chip is implemented in a third-or...

In this paper, we propose an improved discrete differential evolution algorithm to solve the problem of cloud computing task scheduling, which can greatly improve the computational efficiency of task scheduling in cloud computing. The purpose of this improved algorithm is to obtain the shortest completion time of a total task and get a better load balance. In the process of population initialization, each individual of the population is coded through natural number, and the crossover constant changes with iteration times, which is used to make a balance between global search and local search. After mutation and crossover operation, a new selection mechanism will be adopted to preserve those excellent individuals among mutation individual, target individual and trial individual. Numerical experiment runs in Cloudsim platform (a computer simulation platform used to stimulate cloud computing environment). Our experimental results show that compared with standard DE algorithm, the improved differential evolution algorithm has a better performance on convergence and a good ability to jump out from local optimum, which means the algorithm can get a better scheduling result for cloud computing. In the experiment, we set the numbers of subtasks as 50, 200 and 500 and the completion time is reduced by 0.83s, 10.94s and 84.13s respectively.

The drones in the UAV networks can communicate with each other through wireless link. Due to the limited computing resources and complicated external environment of drones, UAV networks are subjected to various attacks such as forgery attack, man-in-the-middle attack and reply attack. Identity authentication is extremely urgent to be established before the drones start to communicate with each other and ensuring a legal drone in the network is the priority of UAV network security. However, traditional authentication mechanism based on username/ password or dynamic key has low secure level. RSA certification needs long session key which can not meet the lightweight requirement in the UAV networks. In this paper, we propose a lightweight identity authentication method based on ECC (Elliptic Curve Cryptography). We design three main steps: ECC certification initiate, identity authentication and key consistency verification. The first two steps can guarantee the two-way identity authentication and the third step verify the consistency of session key. Compared with traditional authentication method in UAV networks, our approach has shorter key and lower computing workload. Considering the security, our approach solves the problem of key inconsistence caused by calculation faults or packets transmission drops which can guarantee the UAV identity authentication secure. We apply our approach in the UAV networks and evaluate the runtime and antiattack performance. The results show that the proposed method can be effectively used in drones identity authentication.

Many bacterial pathogens secret effectors into host cells to disable host defenses and thus promote infection. The exocyst complex functions in the transport and secretion of defense molecules, and loss of function of the EXO70B1 subunit leads to autoimmunity by activation of a truncated Toll/interleukin-1 receptor–nucleotide-binding sequence protein (TIR-NBS2; herein referred to as TN2). Here, we show that EXO70B1 is required for pathogen-associated molecular pattern-triggered immune responses in Arabidopsis thaliana. The effector AvrPtoB, an E3 ligase from Pseudomonas syringae pv. tomato (Pto) strain DC3000, associates with EXO70B1. AvrPtoB ubiquitinates EXO70B1 and mediates EXO70B1 degradation via the host’s 26S proteasome in a manner requiring E3 ligase activity. AvrPtoB enhances Pto DC3000 virulence by overcoming EXO70B1-mediated resistance. Moreover, overexpression of AvrPtoB in Arabidopsis leads to autoimmunity, which is partially dependent on TN2. Expression of TN2 in tobacco (Nicotiana tabacum and Nicotiana benthamiana) triggers strong and rapid cell death, which is suppressed by co-expression with EXO70B1 but reoccurs when co-expressed with AvrPtoB. Taken together, our data highlight that AvrPtoB targets the Arabidopsis thaliana EXO70 protein family member EXO70B1 to manipulate the defense molecule secretion machinery or immunity.

Spinel lithium ferrite (LiFe5O8) has attracted a great deal of attention due to its potential applications in isolators, circulators, and phase shifters. In this work, thin films of LiFe5O8 were fabricated on (001) MgO substrates using pulsed laser deposition technology. Thin films with excellent crystallization qualities were acquired by controlling the growth temperature. Interestingly, the results from reciprocal space mappings (RSMs) indicate that the in-plane lattice parameter a and the out-of-plane lattice parameter c were modulated by changing the film growth temperature. Moreover, the magnetism of LiFe5O8 thin films with different temperatures was significantly studied by vibrating sample magnetometer (VSM) and ferromagnetic resonance (FMR) measurements. These findings illustrate that controlling the growth temperature of the films is an effective method to tailor the lattice parameter and to further modify the magnetic properties of epitaxial LiFe5O8 thin films.