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Magnetocardiography (MCG) offers a noninvasive method for early screening and precise localization of cardiovascular diseases by measuring picotesla-level weak magnetic fields induced by cardiac electrical activity. However, in unshielded magnetic environments, geomagnetic disturbances, power-frequency electromagnetic interference, and physiological/motion artifacts can significantly overwhelm effective magnetocardiographic components. To address this challenge, this paper systematically constructs an integrated denoising framework, termed “AOA-VMD-WT”. In this approach, the Arithmetic Optimization Algorithm (AOA) adaptively optimizes the key parameters (decomposition level K and penalty factor α) of Variational Mode Decomposition (VMD). The decomposed components are then regularized based on their modal center frequencies: components with frequencies ≥50 Hz are directly suppressed; those with frequencies <50 Hz undergo wavelet threshold (WT) denoising; and those with frequencies <0.5 Hz undergo baseline correction. The purified signal is subsequently reconstructed. For quantitative evaluation, we designed performance indicators including QRS amplitude retention rate, high/low frequency suppression amount, and spectral entropy. Further comparisons are made with baseline methods such as FIR and wavelet soft/hard thresholds. Experimental results on multiple sets of measured MCG data demonstrate that the proposed method achieves an average improvement of approximately 8–15 dB in high-frequency suppression, 2–8 dB in low-frequency suppression, and a decrease in spectral entropy ranging from 0.1 to 0.6 without compromising QRS amplitude. Additionally, the parameter optimization exhibits high stability. These findings suggest that the proposed framework provides engineerable algorithmic support for stable MCG measurement in ordinary clinic scenarios.

Severe acute mountain sickness (sAMS) can be life-threatening, but little is known about its genetic basis. The study was aimed to explore the genetic susceptibility of sAMS for the purpose of prediction, using microarray data from 112 peripheral blood mononuclear cell (PBMC) samples of 21 subjects, who were exposed to very high altitude (5260 m), low barometric pressure (406 mmHg), and hypobaric hypoxia (VLH) at various timepoints. We found that exposure to VLH activated gene expression in leukocytes, resulting in an inverted CD4/CD8 ratio that interacted with other phenotypic risk factors at the genetic level. A total of 2286 underlying risk genes were input into the support vector machine recursive feature elimination (SVM-RFE) system for machine learning, and a model with satisfactory predictive accuracy and clinical applicability was established for sAMS screening using ten featured genes with significant predictive power. Five featured genes (EPHB3, DIP2B, RHEBL1, GALNT13, and SLC8A2) were identified upstream of hypoxia- and/or inflammation-related pathways mediated by microRNAs as potential biomarkers for sAMS. The established prediction model of sAMS holds promise for clinical application as a genetic screening tool for sAMS.

According to the actual requirement and the existing situation of the Warship Equipment Support, the article makes its main research on the People's Armed Police Coast Guard, and describes the concept and connotation of the warship equipment support design. It proposes the life cycle design based on the supportability system engineering in order to make the later costs lower, which includes the Project stage, the Argument stage, the Design stage, the Usage stage, the Maintenance and Support stage and the Scrapped stage. Finally it summarizes the project and technological approaches which can realize the support target from the project demonstration phase to the using support phase. The warship equipment life cycle design aims at solving the generated problem of the system of systems support capability, and can improve the logistical support system, innovative the support model, enhanced the logistical support capability.

According to the actual requirement and the existing situation of the warship equipment support, the article makes its main research on the People's Armed Police Coast Guard, and describes the concept and connotation of the warship equipment support design. Finally, it summarizes the project and technological approaches which can realize the support target from the project demonstration phase to the using support phase. The warship equipment support capacity design aims at solving the generated problem of the system of systems support capability, and can improve the logistical support system, innovative the support model, enhanced the logistical support capability.

Skew-orthogonal polynomials (SOPs) arise in the study of the n -point distribution function for orthogonal and symplectic random matrix ensembles. Motivated by the average of characteristic polynomials of the Bures random matrix ensemble studied in Forrester and Kieburg (Commun Math Phys 342(1):151–187, 2016 ), we propose the concept of partial-skew-orthogonal polynomials (PSOPs) as a modification of the SOPs, and then the PSOPs with a variety of special skew-symmetric kernels and weight functions are addressed. By considering appropriate deformations of the weight functions, we derive nine integrable lattices in different dimensions. As a consequence, the tau-functions for these systems are shown to be expressed in terms of Pfaffians and the wave vectors PSOPs. In fact, the tau-functions also admit the multiple integral representations. Among these integrable lattices, some of them are known, while the others are novel to the best of our knowledge. In particular, one integrable lattice is related to the partition function of the Bures ensemble. Besides, we derive a discrete integrable lattice which can be used to compute certain vector Padé approximants. This yields the first example regarding the connection between integrable lattices and generalised inverse vector-valued Padé approximants, about which Hietarinta, Joshi, and Nijhoff pointed out that, “This field remains largely to be explored”, in the recent monograph (Hietarinta et al. in Discrete systems and integrability, vol 54. Cambridge University Press, Cambridge, 2016 , [Section 4.4]).

Acute myeloid leukemia (AML) is a malignant tumor with high recurrence and refractory rates and low survival rates. Increased glycolysis is characteristic of metabolism in AML blast cells and is also associated with chemotherapy resistance. The purpose of this study was to use gene expression and clinical information from The Cancer Genome Atlas (TCGA) database to identify subtypes of AML associated with lactate metabolism. Two different subtypes linked to lactate metabolism, each with specific immunological features and consequences for prognosis, were identified in this study. Using the TCGA and International Cancer Genome Consortium (GEO) cohorts, a prognostic model composed of genes (LMNA, RETN and HK1) for the prognostic value of the lactate metabolism-related risk score prognostic model was created and validated, suggesting possible therapeutic uses. Additionally, the diagnostic value of the prognostic model genes was explored. LMNA and HK1 were ultimately identified as hub genes, and their roles in AML were determined through immune infiltration, GeneMANIA, GSEA, methylation analysis and single-cell analysis. LMNA was upregulated in AML associating with a poor prognosis while HK1 was downregulated in AML associating with a favorable prognosis. The findings underscore the noteworthy impact of genes linked to lactate metabolism in AML and illustrate the possible therapeutic usefulness of the lactate metabolism-related risk score and the hub lactate metabolism-related genes in guiding AML patients’ treatment choices.

The isospectral deformations of the Frobenius–Stickelberger–Thiele (FST) polynomials introduced in Spiridonov et al. (Commun Math Phys 272:139–165, 2007) are studied. For a specific choice of the deformation of the spectral measure, one is led to an integrable lattice (FST lattice), which is indeed an isospectral flow connected with a generalized eigenvalue problem. In the second part of the paper the spectral problem used previously in the study of the modified Camassa–Holm (mCH) peakon lattice is interpreted in terms of the FST polynomials together with the associated FST polynomials, resulting in a map from the mCH peakon lattice to a negative flow of the finite FST lattice. Furthermore, it is pointed out that the degenerate case of the finite FST lattice unexpectedly maps to the interlacing peakon ODE system associated with the two-component mCH equation studied in Chang et al. (Adv Math 299:1–35, 2016).

Aggregating evidence suggests that genetic determinants play a pivotal role in the pathogenesis of the congenitally bicuspid aortic valve (BAV). BAV is of pronounced genetic heterogeneity, and the genetic components underlying BAV in an overwhelming majority of patients remain elusive. In the current study, the whole coding exons and adjacent introns, as well as 5′ and 3′ untranslated regions of the GATA4 gene, which codes for a zinc-finger transcription factor crucial for the normal development of the aortic valve, were screened by direct sequencing in 150 index patients with congenital BAV. The available family members of an identified mutation carrier and 300 unrelated, ethnically matched healthy individuals used as controls were also genotyped for GATA4. The functional effect of the mutation was characterized using a dual-luciferase reporter assay system. As a result, a novel heterozygous GATA4 mutation, p.E147X, was identified in a family with BAV transmitted in an autosomal dominant pattern. The nonsense mutation was absent in 600 control chromosomes. Functional deciphers revealed that the mutant GATA4 protein lost transcriptional activity compared with its wild-type counterpart. Furthermore, the mutation disrupted the synergistic transcriptional activation between GATA4 and NKX2.5, another transcription factor responsible for BAV. In conclusion, this study associates the GATA4 loss-of-function mutation with enhanced susceptibility to a BAV, thus providing novel insight into the molecular mechanism underpinning the BAV.

Hepatitis B virus infection remains an important global public health problem. Approved alum-adjuvanted vaccines are well tolerated but require three doses and have reduced immunogenicity in adults. A two-dose vaccine containing hepatitis B surface antigen combined with a novel, Toll-like receptor 9 agonist adjuvant (HBsAg-1018 [HEPLISAV–B®]) has demonstrated significantly higher seroprotection rates than a three dose vaccine. A post hoc analysis compared the safety of HBsAg-1018 with HBsAg-Eng (Engerix-B®), in three randomized, observer-blinded, active-controlled, multi-center phase 3 trials in adults. HBsAg-1018 was administered intramuscularly at weeks 0 and 4 and placebo at week 24 and HBsAg-Eng at weeks 0, 4, and 24. Post-injection reactions, adverse events, medically attended adverse events, and new-onset immune-mediated adverse events were balanced between vaccine groups. Anti-nuclear antibodies, anti-double stranded DNA antibodies, anti-neutrophil cytoplasmic antibodies, and antiphospholipid antibodies were balanced between groups. A transient increase in anti-beta2 glycoprotein 1 IgM was observed in the HBsAg-1018 group but was not associated with a thrombotic event. Serious adverse events and deaths were generally balanced between groups. HBsAg-1018 had a similar safety profile to HBsAg-Eng. With improved immunogenicity and fewer doses over a shorter time, HBsAg-1018 has the potential to provide improved seroprotection and a significant public health benefit to adults 18 years of age or older.

Objectives To explore the added value of arterial enhancement fraction (AEF) derived from dual-energy computed tomography CT (DECT) to conventional image features for diagnosing cervical lymph node (LN) metastasis in papillary thyroid cancer (PTC). Methods A total of 273 cervical LNs (153 non-metastatic and 120 metastatic) were recruited from 92 patients with PTC. Qualitative image features of LNs were assessed. Both single-energy CT (SECT)–derived AEF (AEF S ) and DECT-derived AEF (AEF D ) were calculated. Correlation between AEF D and AEF S was determined using Pearson’s correlation coefficient. Multivariate logistic regression analysis with the forward variable selection method was used to build three models (conventional features, conventional features + AEF S , and conventional features + AEF D ). Diagnostic performances were evaluated using receiver operating characteristic (ROC) curve analyses. Results Abnormal enhancement, calcification, and cystic change were chosen to build model 1 and the model provided moderate diagnostic performance with an area under the ROC curve (AUC) of 0.675. Metastatic LNs demonstrated both significantly higher AEF D (1.14 vs 0.48; p  < 0.001) and AEF S (1.08 vs 0.38; p  < 0.001) than non-metastatic LNs. AEF D correlated well with AEF S ( r  = 0.802; p  < 0.001), and exhibited comparable performance with AEF S (AUC, 0.867 vs 0.852; p  = 0.628). Combining CT image features with AEF S (model 2) and AEF D (model 3) could significantly improve diagnostic performances (AUC, 0.865 vs 0.675; AUC, 0.883 vs 0.675; both p  < 0.001). Conclusions AEF D correlated well with AEF S , and exhibited comparable performance with AEF S . Integrating qualitative CT image features with both AEF S and AEF D could further improve the ability in diagnosing cervical LN metastasis in PTC. Clinical relevance statement Arterial enhancement fraction (AEF) values, especially AEF derived from dual-energy computed tomography, can help to diagnose cervical lymph node metastasis in patients with papillary thyroid cancer, and complement conventional CT image features for improved clinical decision making. Key Points • Metastatic cervical lymph nodes (LNs) demonstrated significantly higher arterial enhancement fraction (AEF) derived from dual-energy computed tomography (DECT) and single-energy CT (SECT)–derived AEF (AEF S ) than non-metastatic LNs in patients with papillary thyroid cancer. • DECT-derived AEF (AEF D ) correlated significantly with AEF S , and exhibited comparable performance with AEF S . • Integrating qualitative CT images features with both AEF S and AEF D could further improve the differential ability.