Transformer fault diagnosis method based on SMOTE and NGO-GBDT.

In order to improve the accuracy of transformer fault diagnosis and improve the influence of unbalanced samples on the low accuracy of model identification caused by insufficient model training, this paper proposes a transformer fault diagnosis method based on SMOTE and NGO-GBDT. Firstly, the Synthetic Minority Over-sampling Technique (SMOTE) was used to expand the minority samples. Secondly, the non-coding ratio method was used to construct multi-dimensional feature parameters, and the Light Gradient Boosting Machine (LightGBM) feature optimization strategy was introduced to screen the optimal feature subset. Finally, Northern Goshawk Optimization (NGO) algorithm was used to optimize the parameters of Gradient Boosting Decision Tree (GBDT), and then the transformer fault diagnosis was realized. The results show that the proposed method can reduce the misjudgment of minority samples. Compared with other integrated models, the proposed method has high fault identification accuracy, low misjudgment rate and stable performance.

Transformer fault diagnosis method based on TLR-ADASYN balanced dataset.

As the cornerstone of transmission and distribution equipment, power transformer plays a very important role in ensuring the safe operation of power system. At present, the technology of dissolved gas analysis (DGA) has been widely used in fault diagnosis of oil-immersed transformer. However, in the actual scene, the limited number of transformer fault samples and the uneven distribution of different fault types often lead to low overall fault detection accuracy or a few types of fault misjudgment. Therefore, a transformer fault diagnosis method based on TLR-ADASYN balanced data set is presented. This method effectively addresses the issue of samples imbalance, reducing the impact on misjudgment caused by a few samples. It delves deeply into the correlation between the ratio of dissolved gas content in oil and fault type, eliminating redundant informations and reducing characteristic dimensions. The diagnostic model SO-RF (Snake Optimization-Random Forest) is established, achieving a diagnostic accuracy rate of 97.06%. This enables online diagnosis of transformers. Comparative analyses using different sampling methods, various features, and diverse diagnostic models were conducted to validate the effectiveness of the proposed method. In conclusion, validation was conducted using a public dataset, and the results demonstrate that the proposed method in this paper exhibits strong generalization capabilities.

Application of full waveform inversion algorithm in Laplace-Fourier domain for high-contrast ultrasonic bone quantitative imaging.

BACKGROUND AND OBJECTIVES: Full waveform inversion (FWI) has been widely applied for the reconstruction of underground medium parameters in seismic communities and has made a great success. It is also a promising way to image hard tissues such as bones by ultrasonic FWI algorithm. However, the ultrasonic FWI methods for bone parameters imaging reported in literature so far are limited to the time domain and/or Fourier domain, and can only achieve quantitative imaging with acoustic velocity of bone less than 3000 m/s. Because the acoustic velocity of actual cortical bones can be as high as 4200 m/s, it is still a challenge for FWI to achieve higher parameter contrast bone imaging. METHODS: Here, we proposed an ultrasonic FWI algorithm in Laplace-Fourier domain (LFDFWI) for high-contrast bone quantitative imaging. Compared to Time domain and Fourier domain, the LFDFWI algorithm is more appropriate for dealing with the presence of high contrast between bone tissues, reducing the possibility of inversion falling into a local minimum, and obtaining better inversion results. We adapted the seismic FWI algorithm to make it suitable for high-frequency ultrasonic sources and small-sized bone parameter imaging. RESULTS: We conducted a series of bone models to evaluate the effectiveness of the proposed algorithm, including four kinds of bone model derived from micro computed tomography (Micro-CT) image of rat. We evaluated the experimental results based on visual analysis, error analysis and structural similarity (SSIM). The numerical simulation results showed that, when acoustic approximation is used, the proposed method can obtain accurate high-contrast images of the velocity and density parameters of bone structure, the mean relative error (MRE) in the region of interest (ROI) were all less than 2%, and the SSIM is up to 98%; when the viscoelastic approximation is used, this method can also obtain the desired high-contrast bone parameter distribution, with MRE less than 4% and SSIM higher than 74%, both of which are better than FDFWI in Fourier domain (FDFWI). CONCLUSION: The results demonstrated that the proposed FWI algorithm can obtain high resolution bone parameter models close to the Micro-CT image, which proves its clinical application potential.

Nonpharmacological interventions for subthreshold depression in adults: A systematic review and network meta-analysis.

Subthreshold depression (StD) is very common, with an estimated global incidence of 25%, and is associated with other clinical conditions. Nonpharmacological interventions have been demonstrated to be effective, but which one is best should be further investigated. This study aims to compare and rank the efficacy of nonpharmacological interventions in adults with StD. Ten databases were searched, and comparisons were made using a random-effects network meta-analysis using the frequentist framework. The assumption of local consistency was assessed by using the node-splitting method. The surface under the cumulative ranking curve (SUCRA) was used to separately rank each intervention. A total of 32 randomized controlled trials (RCTs) were included. The results showed that psychotherapy, as an intervention class, had significantly positive effects compared to control groups (SMD = -0.78, 95% CI: -1.06, -0.49) and had the highest rank (SUCRA, 79.0%; mean rank, 1.6). Cognitive behavioral therapy (CBT), as an individual intervention, had significantly positive effects relative to all control groups and had the highest rank (SUCRA, 82.5%; mean rank, 3.1). We speculate that psychotherapy, especially CBT, may be the most effective nonpharmacological intervention to improve StD in adults. More RCTs examining the efficacy of different nonpharmacological interventions are needed.

Efficacy of cognitive behavioral therapy for insomnia (CBT-I) in older adults with insomnia: A systematic review and meta-analysis.

Objectives: The aim is to evaluate the efficacy of cognitive behavioral therapy for insomnia (CBT-I) in older adults. We searched six databases to identify articles published in English or Chinese until January 30th, 2022. Methods: The two authors of the review independently selected the studies, assessed the risk of bias, and extracted the data. Fourteen studies were included. Results: Based on the results from sleep logs, a significant pooled effect size was observed for sleep efficiency (SE%) (MD = 8.36; 95% CI, 5.96-10.76; I2 = 77%; p < .00001), sleep onset latency (SOL) (MD = -9.29; 95% CI, -13.62 to -4.96; I2 = 64%; p < 0.0001), wake after sleep onset (WASO) (MD = -23.44; 95% CI, -32.41 to -14.47; I2= 85%; p < .00001), and total sleep time (TST) (MD = -12.35; 95% CI, -21.27 to -3.42; I2 = 63%; p = 0.007). Conclusions: Our study suggests that CBT-I may be a safe and effective approach for improving insomnia in older adults.

Effect of Recorded Maternal Voice on Emergence Delirium in Children Under General Anesthesia: A Randomized Controlled Trial.

ABSTRACT: To determine the effect of recorded maternal voice on emergence delirium (ED) in children under general anesthesia, a three-group randomized trial was conducted. A total of 102 children were randomly assigned to mother recording group (n = 34), stranger recording group (n = 34), and control group (n = 34). All subjects were assessed for ED with the Pediatric Anesthesia Emergence Delirium Scale; pain with the Face, Legs, Activity, Cry, and Consolability Scale; and various recovery durations and hemodynamic parameters at six time points. One-way analysis of variance showed that the ED score was significantly lower in the mother recording group (F = 18.520, p = 0.000), and statistical significance was observed in the duration of eye opening (p = 0.001) and tracheal extubation (p = 0.002). Generalized estimating equations observed interaction effects on heart rate and blood pressure (both p = 0.000). Mothers' voice might help reduce ED in children under general anesthesia.

Retrospective reinterpretation and reclassification of BRCA1/2 variants from Chinese population.

BACKGROUND: The accurate interpretation of BRCA1/2 variants becomes increasingly important in breast cancer and other related cancers including ovarian cancer, prostate cancer, pancreatic cancer and so forth. In the past decades, especially before year 2015, limitations of techniques and lack of databases and guidelines have led to possible misinterpretation of the clinical significance of sequence variants of BRCA1/2. A published study reported reclassification of some BRCA1/2 variants previously classified as variants of uncertain significance (VUS) to likely pathogenic in breast or ovarian cancer patients from Korea. However, little is known about the situation in Chinese population. METHODS: We retrospectively retrieved 109 publications studying about BRCA1/2 variants of Chinese population from the year 1999 to year 2019 (March). After excluding publications of meta-analysis and publications with missing data, 72 publications were eventually retained for subsequent analysis. In total, 1,351 BRCA variants (673 BRCA1 variants and 678 BRCA2 variants) derived from 42,430 Chinese cancer patients were standardized and reinterpreted using ACMG/AMP 2015 guidelines and China Expert Consensus on BRCA variant interpretation by genetic counselors. RESULTS: Among the 1,351 BRCA variants, the majority of interpretation (91.7%, 1,239/1,351) remained the same as previously published. However, there were 112 (8.3%, 112/1,351) variants (64 BRCA1, 48 BRCA2) reclassified with different categories. CONCLUSIONS: Our results demonstrated that clinical significance of not only VUS, but also pathogenic/likely pathogenic variants varied from time to time in the Chinese population. Precise reinterpretation of BRCA1/2 variants is of crucial importance to genetic counseling or clinical decision-making for risk individuals or patients.

Prevalent cytidylation and uridylation of precursor miRNAs in Arabidopsis.

A key step in microRNA biogenesis is the processing of a primary precursor RNA by the microprocessor into a precursor miRNA (pre-miRNA) intermediate. In plants, little is known about the processes that act on pre-miRNAs to influence miRNA biogenesis. Here, we performed 3' rapid amplification of complementary DNA ends sequencing to profile pre-miRNA 3' ends in Arabidopsis. 3' end heterogeneity was prevalent, and the three microprocessor components promoted 3' end precision. Extensive cytidylation and uridylation of precise and imprecise pre-miRNA 3' ends were uncovered. The nucleotidyl transferase HESO1 uridylated pre-miRNAs in vitro and was responsible for most pre-miRNA uridylation in vivo. HESO1, NTP6 and NTP7 contribute to pre-miRNA cytidylation. Tailing of pre-miRNAs tended to restore trimmed pre-miRNAs to their intact length to promote further processing. In addition, HESO1-mediated uridylation led to the degradation of certain imprecisely processed pre-miRNAs. Thus, we uncovered widespread cytidylation and uridylation of pre-miRNAs and demonstrated diverse functions of pre-miRNA tailing in plants.

Whole exome sequencing and methylation­specific multiplex ligation­dependent probe amplification applied to identify Angelman syndrome due to paternal uniparental disomy in two unrelated patients.

Angelman syndrome (AS) is a congenital neuro-developmental disorder typically occurring due to functional defects of the UBE3A gene caused by uniparental disomy (UPD), translocation or single gene mutation. UBE3A gene exhibits imprinting expression, and only maternal inherited alleles express functional UBE3A protein in the brain. The common method to diagnose AS is single nucleotide polymorphism array or methylation­specific multiplex ligation­dependent probe amplification (MS­MLPA). In recent years, whole exome sequencing (WES) has been increasingly used in the genetic diagnosis of a variety of indications, exhibiting great advantages as a comprehensive and unbiased testing method. In the present study, the cases of two unrelated patients with Robertsonian­like translocation in chromosome 15, namely 45,XX,der(15;15)(q10;q10) and 45,XY,der(15;15)(q10;q10), are reported. The first case was diagnosed with AS by WES and validated by Sanger sequencing. In contrast to 42.84%  homozygous variants on all chromosomes, 92.69%  homozygosity variants were observed on chromosome 15. A homozygous stretch identifier was applied and identified a homozygous region across the entire chromosome 15. Sanger sequencing was used to further determine the subtype and confirm that two homozygous variants on chromosome 15 with low allele frequency (<0.01) were derived only from the father and not from the mother, thereby indicating a paternal UPD case, classified as isodisomy. MS­MLPA results of the other AS patient with the same karyotype indicated that he had a high possibility of paternal UPD at chromosome 15. Taken together, the current study suggested the potential application of WES in detecting and facilitating the diagnosis of UPD.

The U-box family genes in Medicago truncatula: Key elements in response to salt, cold, and drought stresses.

The ubiquitination pathway regulates growth, development, and stress responses in plants, and the U-box protein family of ubiquitin ligases has important roles in this pathway. Here, 64 putative U-box proteins were identified in the Medicago truncatula genome. In addition to the conserved U-box motif, other functional domains, such as the ARM, kinase, KAP, and WD40 domains, were also detected. Phylogenetic analysis of the M. truncatula U-box proteins grouped them into six subfamilies, and chromosomal mapping and synteny analyses indicated that tandem and segmental duplications may have contributed to the expansion and evolution of the U-box gene family in this species. Using RNA-seq data from M. truncatula seedlings subjected to three different abiotic stresses, we identified 33 stress-inducible plant U-box genes (MtPUBs). Specifically, 25 salinity-, 15 drought-, and 16 cold-regulated MtPUBs were detected. Among them, MtPUB10, MtPUB17, MtPUB18, MtPUB35, MtPUB42, and MtPUB44 responded to all three stress conditions. Expression profiling by qRT-PCR was consistent with the RNA-seq data, and stress-related elements were identified in the promoter regions. The present findings strongly indicate that U-box proteins play critical roles in abiotic stress response in M. truncatula.

Identification and expression profiling of Oryza sativa nucleotidyl transferase protein (NTP) genes under various stress conditions.

Nucleotidyl transferase proteins (NTPs) modify the 3' ends of mature small RNAs, leading to their stabilization or degradation. The first two plant NTPs, HESO1 and URT1, were identified in Arabidopsis. These two NTPs act cooperatively to uridylate the 3' terminal nucleotide of specific miRNAs, leading to their degradation and thereby affecting the expression of genes regulated by these miRNAs. Little is known about NTPs in other plants. Here, we performed a comprehensive analysis of 13 putative NTP genes in Oryza sativa, a major crop in global food production. Phylogenetic analysis showed homology among the NTPs from diverse plant species. Analysis of cis-acting promoter elements at OsNTP loci identified several stress response elements, indicating the potential involvement of NTPs in plant stress responses. The promoter analysis results were validated by expression of the OsNTP genes under abiotic stress treatments, with some OsNTPs clearly induced by salt, drought or cold stress. Moreover, the RT-PCR data showed that the OsNTP genes were differentially expressed in different developmental stages and tissues. These findings suggest that NTPs, which are involved in small RNA metabolic pathways, might play roles in plant stress resistance.