Prediction of hypertension risk based on multiple feature fusion.

OBJECTIVE: In the application of machine learning to the prediction of hypertension, many factors have seriously affected the classification accuracy and generalization performance. We propose a pulse wave classification model based on multi-feature fusion for accuracy prediction of hypertension. METHODS AND MATERIALS: We propose an ensemble under-sampling model with dynamic weights to decrease the influence of class imbalance on classification, further to automatically classify of hypertension on inquiry diagnosis. We also build a deep learning model based on hybrid attention mechanism, which transforms pulse waves to feature maps for extraction of in-depth features, so as to automatically classify hypertension on pulse diagnosis. We build the multi-feature fusion model based on dynamic Dempster/Shafer (DS) theory combining inquiry diagnosis and pulse diagnosis to enhance fault tolerance of prediction for multiple classifiers. In addition, this study calculates feature importance ranking of scale features on inquiry diagnosis and temporal and frequency-domain features on pulse diagnosis. RESULTS: The accuracy, sensitivity, specificity, F1-score and G-mean after 5-fold cross-validation were 94.08%, 93.43%, 96.86%, 93.45% and 95.12%, respectively, based on the hypertensive samples of 409 cases from Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine and Hospital of Integrated Traditional Chinese and Western Medicine. We find the key factors influencing hypertensive classification accuracy, so as to assist in the prevention and clinical diagnosis of hypertension. CONCLUSION: Compared with the state-of-the-art models, the multi-feature fusion model effectively utilizes the patients' correlated multimodal features, and has higher classification accuracy and generalization performance.

Classification of coronary artery disease using radial artery pulse wave analysis via machine learning.

BACKGROUND: Coronary artery disease (CAD) is a major global cardiovascular health threat and the leading cause of death in many countries. The disease has a significant impact in China, where it has become the leading cause of death. There is an urgent need to develop non-invasive, rapid, cost-effective, and reliable techniques for the early detection of CAD using machine learning (ML). METHODS: Six hundred eight participants were divided into three groups: healthy, hypertensive, and CAD. The raw data of pulse wave from those participants was collected. The data were de-noised, normalized, and analyzed using several applications. Seven ML classifiers were used to model the processed data, including Decision Tree (DT), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Extra Trees (ET), Extreme Gradient Boosting (XGBoost), Light Gradient Boosting (LightGBM), and Unbiased Boosting with Categorical Features (CatBoost). RESULTS: The Extra Trees classifier demonstrated the best classification performance. After tunning, the results performance evaluation on test set are: 0.8579 accuracy, 0.9361 AUC, 0.8561 recall, 0.8581 precision, 0.8571 F1 score, 0.7859 kappa coefficient, and 0.7867 MCC. The top 10 feature importances of ET model are w/t1, t3/tmax, tmax, t3/t1, As, hf/3, tf/3/tmax, tf/5, w and tf/3/t1. CONCLUSION: Radial artery pulse wave can be used to identify healthy, hypertensive and CAD participants by using Extra Trees Classifier. This method provides a potential pathway to recognize CAD patients by using a simple, non-invasive, and cost-effective technique.

The microRNA-7322-5p/p38/Hsp19 axis modulates Chilo suppressalis cell-defences against Cry1Ca: an effective target for a stacked transgenic rice approach.

Bacillus thuringiensis (Bt)-secreted crystal (Cry) toxins form oligomeric pores in host cell membranes and are a common element in generating insect-resistant transgenic crops. Although Cry toxin function has been well documented, cellular defences against pore-formation have not been as well developed. Elucidation of the processes underlying this defence, however, could contribute to the development of enhanced Bt crops. Here, we demonstrate that Cry1Ca-mediated downregulation of microRNA-7322-5p (miR-7322-5p), which binds to the 3' untranslated region of p38, negatively regulates the susceptibility of Chilo suppressalis to Cry1Ca. Moreover, Cry1Ca exposure enhanced phosphorylation of Hsp19, and hsp19 downregulation increased susceptibility to Cry1Ca. Further, Hsp19 phosphorylation occurs downstream of p38, and pull-down assays confirmed the interactions between Hsp19 and Cry1Ca, suggesting that activation of Hsp19 by the miR-7322-5p/p38/Hsp19 pathway promotes Cry1Ca sequestration. To assess the efficacy of targeting this pathway in planta, double-stranded RNA (dsRNA) targeting C. suppressalis p38 (dsp38) was introduced into a previously generated cry1Ca-expressing rice line (1CH1-2) to yield a single-copy cry1Ca/dsp38 rice line (p38-rice). Feeding on this rice line triggered a significant reduction in C. suppressalis p38 expression and the line was more resistant to C. suppressalis than 1CH1-2 in both short term (7-day) and continuous feeding bioassays as well as field trials. These findings provide new insights into invertebrate epithelium cellular defences and demonstrate a potential new pyramiding strategy for Bt crops.

Turfgrass-dependent mycotrophic change enhances soil deterioration in dry, cold and high-alkali environments.

AIMS: Soil quality is undergoing severe degradation under anthropogenic effects. Different methods of land management have been implemented for soil reclamation, such as turfing. Although widely accepted to improve soil quality, turfing in specific environments may also culminate in soil deterioration. We aim to know how turfing impacts soils by changing mycobiomes. METHODS AND RESULTS: The soil physicochemical properties and ITS metabarcoding were used to investigate mycobiome diversity and eco-function differences between the eudicot Dianthus plumarius and the monocot Poa pratensis in dry, cold, and high-alkali soil. The effects of plantation and the rhizosphere (e.g. root exudates) were tested. We showed that the change in soil mycobiomes in different planted bulk soils and rhizospheres could mainly be attributed to species turnover, with minor nestedness. Unexpectedly, the soil deteriorates more following turfing. The increasing saprotrophs in planted bulk soil were more marked in the monocot than in the eudicot, even the rhizosphere effect alleviated saprotrophic risks in the rhizosphere. CONCLUSIONS: Turfing deteriorates the health of high-alkali soil by reducing nitrification, and upshift the soil saprotrophs in a dry and cold environment.

Blocking vicious cycle of cardiac dysfunction by external cardiopulmonary resuscitation is the key to rescue acute aluminium phosphide poisoning.

Aluminium phosphide (ALP) and aluminium zinc phosphide (ZnP), the two main ingredients of fumigation drugs, are commonly used to kill insects or rodents in grain. When exposed to water, highly toxic phosphine gas is released and absorbed through the respiratory or digestive tract. Phosphine gas could non-selectively block cytochrome oxidase, inhibit electron transfer and suppress oxidative phosphorylation, leading to cellular hypoxia and organ dysfunction. The characteristic clinical manifestations are refractory shock and metabolic acidosis with high mortality. However, patients with ALP poisoning have a chance to be cured. Here, we report a case of oral ALP poisoning that was successfully treated by extracorporeal membrane oxygenation (ECMO) combined with continuous renal replacement therapy (CRRT) during frequent ventricular fibrillation and cardiac dysfunction.

Artificial neural networks based multimodal device for autism spectrum disorder.

The neuro developmental condition known as Autism Spectrum Disorder (ASD) affects people on a lifetime basis and exhibits itself in a wide range of ways. In this research work a brand-new semi-supervised training method for the recognition of discrete multi-modal autism spectrum disorder is proposed. At the coarse-grained level, we consider that various methodologies are anticipated to explore equivalent information about child autism. To build DC AlexNet, this combines two small network branches and a large network (trunk network). The network trunk is programmed just to become familiar with the distinguishing characteristics shared by face images at different resolutions. It is built using recently suggested residential components. To project images to a place where their ranges are as little as possible, two branch networks are programmed to learn coupled-mappings (CMs) that are particular to a given resolution. The suggested technique is properly assessed utilizing the databases for the OMEGE and DIAEMO datasets by evaluating it to state-of-the-art techniques in terms of many parameters. Deep Coupled AlexNet is developed to obtain 98.13 % of accuracy, 95.1 % of precision, 94.3 % of recall and 95.4 of F1-score for OMEGE dataset. Moreover, 98.6 % of accuracy, 97.2 % of precision, 98.5 of recall and 97.5 % of F1-score for DIAEMO dataset (Tab. 8, Fig. 10, Ref. 16). Keywords: autism spectrum disorder, artificial neural networks, emotion recognition, interaction design, multimodal factors.

Effect of milk fat and its main fatty acids on oxidation and glycation level of milk.

Milk is a highly nutritional food rich in protein and fat that is prone to deterioration by oxidation and glycation reactions at storage and processing. In this study, glycation products and lipid oxidation products contents in skim milk, whole milk, and milk fat simulation groups were determined to evaluate the effect of milk fat components on glycation at 120 °C for 60 min. The increase rate of carbonyl compound, main advanced glycation end products (AGEs) levels, and glycation sites number of α-casein and ß-casein are higher in whole milk than that in skim milk, indicating that milk fat promoted protein glycation significantly. In milk fat simulation groups, oleic acid and linoleic acid (LA) were added to milk fat in skim milk proportionally, promoting the formation of glycation products; however, palmitic acid had no such effect. LA exhibited strong promotion on AGEs formation. Lipid oxidation radicals, protein carbonyl amine condensation, and carbonyl compound formation were critical factors for milk glycation, according to OPLS-DA results. Therefore, radicals of fat oxidation are speculated to trigger the early glycation, and carbonyl compounds of fat oxidation act as important intermediates of glycation, fat type, form, and its degradation rate, thus play essential roles in milk glycation. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05658-z.

Physicochemical and Biotic Changes and the Phylogenetic Evenness of Microbial Community in Soil Subjected to Phytoreclamation.

Phytoreclamation is the intervention of plants to improve degraded soil quality, changing soil biotic and abiotic properties. Many studies have focused on microbial composition and bioactivity, but few explored the changes in phylogenetic assemblages of soil microbiota after phytoreclamation. This study compared microbiomes of bare land to those of planted soils and investigated how the rhizosphere environment affects microbial assemblages from monocot Poa pratensis and eudicot Dianthus plumarius plantings using 16S rRNA metabarcoding. The results showed that the biotic susceptibility of soil to the rhizosphere environment was higher than that of the abiotic. A noticeable change was in some soil physicochemical properties like Na, P, Zn, Cu, C, and sand-to-silt proportion before and after phytoreclamation, but not between the rhizosphere and bulk soil of plantings. Contrastingly, microbial composition and diversity were significantly affected by both turfing and rhizosphere effects and were more susceptible to differences in turfing or not than in planting species. In the turfgrass, the microbiome differences between plants were greater in the rhizosphere than in the surrounding bulk soil, indicating the proximal influence of root exudates. We also found that the main abiotic factors that influenced microbial composition were Na, Zn, NOx, N, and S; as for the phylogenetic assemblages, were by K levels and the increase of silt. Turfgrass decomposes soil aggregates and changes the physicochemical properties, thereby evens the phylogenetic clustering of the soil microbial community. We demonstrated that the deterministic process affects the microbial assemblage and acts as a selective agent of the soil microbiota in fundamental and realized niches. Phytoreclamation may lead to abiotic soil changes that reallocate resources to microbes. This could affect the phylogeny of the microbial assemblages and increase microbial richness.

Nanoparticle facilitated stacked-dsRNA improves suppression of the Lepidoperan pest Chilo suppresallis.

BACKGROUND: In recent years, gene knockdown technology using double-stranded RNA (dsRNA) has been widely used as an environment-friendly pest control strategy, but its instability and limited cellular uptake have limited its overall effect. Studies have shown that the efficiency of single dsRNA can be improved by using various nanomaterials. However, the effect of stacked-dsRNA wrapped by nanomaterial on pests remains unclear. In the present study, both CYP15C1 and C-factor genes were cloned from the midgut of C. suppressalis, and the transcript of C-factor is most highly expressed in heads. Feeding a dsCYP15C1 or dsC-factor - nanomaterial mixture can downregulate the gene expression and significantly increase larval mortality. More importantly, feeding the stacked-dsRNA wrapped by nanomaterial can significantly increase the mortality of C. suppressalis, compared with feeding dsCYP15C1 or dsC-factor - nanomaterial mixture alone. These results showed that CYP15C1 and C-factor could be potential targets for an effective management of C. suppressalis, and we developed a nanoparticle-facilitated stacked-dsRNA strategy in the control of C. suppresallis. Our research provides a theoretical basis for gene function analysis and field pest control, and will promote the application of RNAi technology in the stacked style of pest control.

Status and prospect of international standardization of TCM diagnosis.

The present study aimed to review the current status and development of international standards in the domain of traditional Chinese medicine (TCM) diagnosis. Moreover, the roles and relevant work of different organizations in developing such standards were explored, and the difficulties and challenges encountered were analyzed. The study further elaborated on the approaches to establish a complete set of international standards on TCM diagnosis. It also provided a promising solution for the development of international standards on TCM diagnosis.

[Research progress in original species identification in industry chain of Rhei Radix et Rhizoma].

Rhei Radix et Rhizoma is a kind of commonly used Chinese medicinal materials. Due to the overharvesting, the wild resource is endangering. Large market demand caused severely adulterant of commercial Rhei Radix et Rhizoma medicinal materials and decoction pieces. This manuscript reviewed the advances of the original species authentication in the industrial chain of Rhei Radix et Rhizoma during the latest decade, including characteristics and microscopic features, phytochemical analysis on anthraquinones, and molecular authentication based on DNA barcoding. Accordingly, an original species authentication route for the industrial chain of Rhei Radix et Rhizoma was summarized:(1)the identification of seeds and seedlings by DNA barcoding;(2) the selection of high variable sites based on the chloroplast genome;(3)biomonitoring of the Rhei Radix et Rhizoma medicinal materials and decoction pieces by two-dimensional DNA barcode;(4)traceability of Chinese patent medicines by third-generation sequencing. In conclusion, the combination of molecular identification and traditional identification methods provides a new idea for the identification of the original species of Rhei Radix et Rhizoma in the industrial chain and a essential guidance for the research of drug safety and efficacy of Rhei Radix et Rhizoma.

Therapeutic effect of gefitinib on patients with advanced EGFR-mutation NSCLC.

This study aims to study the role of gefitinib on patients with advanced EGFR-mutation NSCLC (Non-Small Cell Lung Cancer). Totally 115 patients with advanced EGFR-mutation NSCLC treated in our hospital were enrolled as research objects. They were randomly divided into control group (n=57) applied with cisplatin ± pemetrexed and experimental group (n=58) subject to gefitinib± cisplatin ± pemetrexed, both groups were applied with treatment for 4 cycles. Clinical efficacy: The disease control rate (DCR) was 72.41% in the experimental group, which was higher than that of the control group (54.39%, p<0.05); Serum CEA, CYFRA21-1, MMP-9 levels: after 2 and 4 cycles of treatment, serum CEA, CYFRA21-1, and MMP-9 levels were lower in the experimental group (p<0.05); Immune function: after 2 and 4 cycles of treatment, Th1 cells and Th1/Th2 cell levels were higher in the experimental group, while Th2 cell level was higher in the control group (p<0.05); Angiogenesis related indicators: the levels of VEGF, HIF-1α and sCD105 were lower in the experimental group after 2 and 4 cycles of treatment (p<0.05); (5) Adverse reactions: After 2 and 4 cycles of treatment, the levels of VEGF, HIF-1α, and sCD105 were lower in the experimental group (p<0.05). The application of gefitinib in patients with advanced EGFR-mutation NSCLC can help down-regulate CEA, CYFRA21-1, and MMP-9 levels, inhibit angiopoiesis, enhance immune function, and increase disease control rate.

Use of an Infectious cDNA Clone of Pepper Veinal Mottle Virus to Confirm the Etiology of a Disease in Capsicum chinense.

The pepper cultivar Yellow Lantern, one of the spiciest pepper varieties, is a local germplasm of Capsicum chinense, cultivated exclusively on Hainan Island, China. However, this variety is susceptible to viral diseases that severely affect its production. In this study, we report that pepper veinal mottle virus (PVMV) is associated with foliar chlorosis and rugosity symptoms in Yellow Lantern. To verify this correlation, we constructed a full-length cDNA clone of a PVMV isolate named HNu. The virus progeny derived from the cDNA clone replicated and moved systemically in the pepper, inducing the same symptoms as those induced by PVMV-HNu in Yellow Lantern peppers in the field. The results support that PVMV-HNu is the causal agent of foliar chlorosis and rugosity disease in Yellow Lantern. This knowledge will help in the diagnosis and prevention of disease caused by PVMV. Furthermore, the cDNA clone serves as a reverse genetic tool to study the molecular pathogenesis of PVMV.

A Wearable Combined Wrist Pulse Measurement System Using Airbags for Pressurization.

The pulse measurement instrument is based on traditional Chinese medicine (TCM) and is used to collect the pulse of patients to assist in diagnosis and treatment. In the existing pulse measurement system, desktop devices have large volumes, complex pressure adjusting operations, and unstable pressurization. Wearable devices tend to have no pressurization function or the function to pressurize three channels separately, which are not consistent with the diagnostic method in TCM. This study constructs a wearable pulse measurement system using airbags for pressurization. This system uses guide plates, guide grooves, and positioning screws to adjust the relative position of the wristband and locate Cun, Guan and Chi regions. The pulse signal measured by the sensor is collected and sent to a computer by microcontroller unit. In experiments, this system successfully obtains the best pulse-taking pressure, its pulse waveform under continuous decompression, and the pulse waveform of three regions under light, medium, and heavy pressure. Compared with the existing technology, the system has the advantages of supporting single-region and three-region pulse acquisition, independent pressure adjustment, and position adjustment. It meets the needs of home, medical, and experimental research, and it is convenient and comfortable to wear and easy to carry.

Analysis of the complete genome sequence of a potyvirus from passion fruit suggests its taxonomic classification as a member of a new species.

The complete genomic sequence of a telosma mosaic virus (TeMV) isolate (named PasFru), identified in passion fruit in China, was determined. The entire RNA genome of PasFru comprises 10,049 nucleotides (nt) excluding the poly(A) tail and encodes a polyprotein of 3,173 amino acids (aa), flanked by 5' and 3' untranslated regions (UTR) of 276 and 251 nt, respectively. Compared with the previous TeMV isolate Hanoi from Telosma cordata, the only documented isolate with the entire genome sequence annotated, PasFru had an extra 87 nt and 89 aa residues at the 3'-end of 5'UTR and the N-terminus of the P1 protein, respectively, which contributed to the genome size difference between PasFru and Hanoi (10,049 nt versus 9,689 nt). Pairwise sequence comparisons showed that PasFru shares 73.6% nt and 80.9% aa sequence identity with the Hanoi isolate at the whole-genome and polyprotein level, respectively, and these values are below the corresponding threshold values for species demarcation in the family Potyviridae. These data suggest that TeMV-PasFru should be classified as a new member of the genus Potyvirus.

Vibration-Induced Errors in MEMS Tuning Fork Gyroscopes with Imbalance.

This paper discusses the vibration-induced error in non-ideal MEMS tuning fork gyroscopes (TFGs). Ideal TFGs which are thought to be immune to vibrations do not exist, and imbalance between two gyros of TFGs is an inevitable phenomenon. Three types of fabrication imperfections (i.e., stiffness imbalance, mass imbalance, and damping imbalance) are studied, considering different imbalance radios. We focus on the coupling types of two gyros of TFGs in both drive and sense directions, and the vibration sensitivities of four TFG designs with imbalance are simulated and compared. It is found that non-ideal TFGs with two gyros coupled both in drive and sense directions (type CC TFGs) are the most insensitive to vibrations with frequencies close to the TFG operating frequencies. However, sense-axis vibrations with in-phase resonant frequencies of a coupled gyros system result in severe error outputs to TFGs with two gyros coupled in the sense direction, which is mainly attributed to the sense capacitance nonlinearity. With increasing stiffness coupled ratio of the coupled gyros system, the sensitivity to vibrations with operating frequencies is cut down, yet sensitivity to vibrations with in-phase frequencies is amplified.

[Transcriptome characterization of Ephedra sinica with 454 ESTs].

Using the latest 454 GS FLX platform and Titanium regent, a substantial expressed sequence tag (ESTs) dataset of Ephedra sinica was produced, and the profile of gene expression and function gene of which were investigated. A total of 48 389 reads with an average length of 373 bp were generated. These 454 reads were assembled into 18 801 unigenes, which were all 454 sequencing identified. A total number of 10 531 unigenes(56.0%) were annotated using BLAST searches (E-value≤1×10⁻5) against the Nr, Nt, TAIR, SwissProt and KEGG databases. With respect to genes related to ephedrine biosynthesis, 19 unigenes(encoding 9 enzymes) were found. A total of 97 putative genes encoding cytochrome P450s were also discovered. Data presented in this study will provide an important resource for the scientific community that is interested in the functional genomics and secondary metabolism of E. sinica.

New oleanane-type triterpenoid saponins isolated from the seeds of Celosia argentea.

Three new oleanane-type triterpenoid saponins named celosins H, I, and J were isolated from the seeds of Celosia argentea L. Their structures were characterized as 3-O-ß-D-xylopyranosyl-(1 → 3)-ß-D-glucuronopyranosyl-polygalagenin 28-O-ß-D-glucopyranosyl ester, 3-O-ß-D-glucuronopyranosyl-medicagenic acid 28-O-ß-D-xylcopyranosyl-(1 → 4)-α-L-rhamnopyranosyl-(1 → 2)-ß-D-fucopyranosyl ester, and 3-O-ß-D-glucuronopyranosyl-medicagenic acid 28-O-α-L-arabinopyranosyl-(1 → 3)-[ß-D-xylcopyranosyl-(1 → 4)]-α-L-rhamnopyranosyl-(1 → 2)-ß-D-fucopyranosyl ester by NMR, MS, and chemical evidences, respectively. In our opinion, celosins H-J could be used as chemical markers for the quality control of C. argentea seeds.

Risk prediction of pulse wave for hypertensive target organ damage based on frequency-domain feature map.

The application of deep learning to the classification of pulse waves in Traditional Chinese Medicine (TCM) related to hypertensive target organ damage (TOD) is hindered by challenges such as low classification accuracy and inadequate generalization performance. To address these challenges, we introduce a lightweight transfer learning model named MobileNetV2SCP. This model transforms time-domain pulse waves into 36-dimensional frequency-domain waveform feature maps and establishes a dedicated pre-training network based on these maps to enhance the learning capability for small samples. To improve global feature correlation, we incorporate a novel fusion attention mechanism (SAS) into the inverted residual structure, along with the utilization of 3 × 3 convolutional layers and BatchNorm layers to mitigate model overfitting. The proposed model is evaluated using cross-validation results from 805 cases of pulse waves associated with hypertensive TOD. The assessment metrics, including Accuracy (92.74 %), F1-score (91.47 %), and Area Under Curve (AUC) (97.12 %), demonstrate superior classification accuracy and generalization performance compared to various state-of-the-art models. Furthermore, this study investigates the correlations between time-domain and frequency-domain features in pulse waves and their classification in hypertensive TOD. It analyzes key factors influencing pulse wave classification, providing valuable insights for the clinical diagnosis of TOD.