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The musical beat and style recognition have high application value in music information retrieval. However, the traditional methods mostly use Convolutional Neural Network (CNN) as the backbone and have poor performance. Accordingly, the present work chooses a Recurrent Neural Network (RNN) in Deep Learning (DL) to identify musical beats and styles. The proposed model is applied to an interactive humanoid robot. Firstly, DL-based musical beat and style recognition technologies are studied. On this basis, a note beat recognition method combining Attention Mechanism (AM) and independent RNN (IndRNN) [AM-IndRNN] is proposed. The AM-IndRNN can effectively avoid gradient vanishing and gradient exploding. Secondly, the audio music files are divided into multiple styles using the music signal's temporal features. A human dancing robot using a multimodal drive is constructed. Finally, the proposed method is tested. The results show that the proposed AM-IndRNN outperforms multiple parallel Long Short-Term Memory (LSTM) models and IndRNN in recognition accuracy (88.9%) and loss rate (0.0748). Therefore, the AM-optimized LSTM model has gained a higher recognition accuracy. The research results provide specific ideas for applying DL technology in musical beat and style recognition.

Despite remarkable progress in the improvement of child survival between 1990 and 2015, the Millennium Development Goal (MDG) 4 target of a two-thirds reduction of under-5 mortality rate (U5MR) was not achieved globally. In this paper, we updated our annual estimates of child mortality by cause to 2000–15 to reflect on progress toward the MDG 4 and consider implications for the Sustainable Development Goals (SDG) target for child survival. We increased the estimation input data for causes of deaths by 43% among neonates and 23% among 1–59-month-olds, respectively. We used adequate vital registration (VR) data where available, and modelled cause-specific mortality fractions applying multinomial logistic regressions using adequate VR for low U5MR countries and verbal autopsy data for high U5MR countries. We updated the estimation to use Plasmodium falciparum parasite rate in place of malaria index in the modelling of malaria deaths; to use adjusted empirical estimates instead of modelled estimates for China; and to consider the effects of pneumococcal conjugate vaccine and rotavirus vaccine in the estimation. In 2015, among the 5·9 million under-5 deaths, 2·7 million occurred in the neonatal period. The leading under-5 causes were preterm birth complications (1·055 million [95% uncertainty range (UR) 0·935–1·179]), pneumonia (0·921 million [0·812 −1·117]), and intrapartum-related events (0·691 million [0·598 −0·778]). In the two MDG regions with the most under-5 deaths, the leading cause was pneumonia in sub-Saharan Africa and preterm birth complications in southern Asia. Reductions in mortality rates for pneumonia, diarrhoea, neonatal intrapartum-related events, malaria, and measles were responsible for 61% of the total reduction of 35 per 1000 livebirths in U5MR in 2000–15. Stratified by U5MR, pneumonia was the leading cause in countries with very high U5MR. Preterm birth complications and pneumonia were both important in high, medium high, and medium child mortality countries; whereas congenital abnormalities was the most important cause in countries with low and very low U5MR. In the SDG era, countries are advised to prioritise child survival policy and programmes based on their child cause-of-death composition. Continued and enhanced efforts to scale up proven life-saving interventions are needed to achieve the SDG child survival target. Bill & Melinda Gates Foundation, WHO.

Closed pores are widely accepted as the critical structure for hard carbon negative electrodes in sodium-ion batteries. However, the lack of a clear definition and design principle of closed pores leads to the undesirable electrochemical performance of hard carbon negative electrodes. Herein, we reveal how the evolution of pore mouth sizes determines the solvation structure and thereby redefine the closed pores. The precise and uniform control of the pore mouth sizes is achieved by using carbon molecular sieves as a model material. We show when the pore mouth is inaccessible to N 2 but accessible to CO 2 molecular probes, only a portion of solvent shells is removed before entering the pores and contact ion pairs dominate inside pores. When the pore mouth is inaccessible to CO 2 molecular probes, namely smaller than 0.35 nm, solvent shells are mostly sieved and dominated anion aggregates produce a thin and inorganic NaF-rich solid electrolyte interphase inside pores. Closed pores are accordingly redefined, and initial coulombic efficiency, cycling and low-temperature performance are largely improved. Furthermore, we show that intrinsic defects inside the redefined closed pores are effectively shielded from the interfacial passivation and contribute to the increased low-potential plateau capacity. Closed pores govern sodium-ion storage performance of hard carbon negative electrodes. Here, authors link pore mouth size evolution of the closed pores to the solvation structure and propose design principles for optimizing both closed pores and intrinsic defects.

The aim of this study was to deeply explore the pathogenesis of obesity type 2 diabetes mellitus (O-T2DM) and search for potential biomarkers through high-throughput RNA sequencing technology. The study included 15 patients with O-T2DM and 15 healthy controls, and peripheral blood samples were collected for transcriptome analysis. The results showed that compared with the control group, there were 442 circRNAs and 2756 mRNAs with significant differential expression in the O-T2DM group. Through weighted gene co-expression network analysis (WGCNA) and pathway enrichment analysis, it was found that the differentially expressed mRNAs were mainly enriched in signaling pathways such as T cell receptor, cell senescence, cytotoxicity mediated by NK cells, IL-17, lipids and atherosclerosis, and the oxidative phosphorylation pathway was activated, and apoptosis was inhibited. Based on the ceRNA theory, a regulatory network was constructed, and key circRNAs such as hsa_circ_0060614 were screened out, which may regulate the expression of the MT2A gene by adsorbing hsa-mir-4668-3p, and the expression levels of the three were significantly increased in O-T2DM patients. This study provides a new perspective for the research on the molecular mechanism of O-T2DM and an important theoretical basis for the development of personalized treatment and precision medicine for it.

Vascular calcification (VC) is a pathological process involving the deposition of mineral salts within the vascular wall, representing a significant risk factor for the development and progression of cardiovascular disease. The gut microbiota refers to the diverse microbial ecosystem inhabiting the gastrointestinal tract, including bacteria, fungi, viruses, and other microorganisms. This community exhibits considerable variability in both population density and taxonomic composition, with current estimates indicating approximately 1013–1014 microorganisms residing in the human gut. Recent studies suggest that metabolites produced by the gut microbiota may influence the pathogenesis of VC through the gut–vascular axis. This review consolidates current findings on the molecular mechanisms driving VC and examines the potential contribution of gut microbiota dysbiosis to vascular pathology. Particular attention is given to the functional roles of microbial metabolites such as short-chain fatty acids (SCFAs), trimethylamine N-oxide (TMAO), lipopolysaccharide (LPS), uremic toxins, secondary bile acids, and vitamin K in modulating calcific processes. In addition, current limitations in the existing literature are outlined, and potential therapeutic approaches, including probiotic use, prebiotic interventions, and targeted dietary strategies, are discussed in the context of their relevance for future clinical management of VC.

Motivated by theoretical and observational developments of cosmological coupled black holes, we construct an exact analytical solution for a black hole immersed in an anisotropic dark sector background, adopting the framework established by Cadoni et al. (JCAP 03:026, 2024). By generalizing a static seed metric to a dynamical FLRW background, we derive a solution where the black hole mass co-evolves with the cosmic expansion. We then obtain the explicit form of the radius-dependent coupling exponent, revealing that the interaction is governed by the dark halo profile. Considering the ubiquity of the dark halos surrounding supermassive black holes, our model provides a potential realization of cosmological coupling, interpreting the mass growth as the dynamical response of the surrounding dark sector fluid to the Hubble flow, distinct from the method of modifying the black hole’s internal equation of state.

Plant height is one of the most important agronomic traits of rapeseeds. In this study, we characterized a dwarf Brassica napus mutant, named ndf-2, obtained from fast neutrons and DES mutagenesis. Based on BSA-Seq and genetic properties, we identified causal mutations with a time-saving approach. The ndf-2 mutation was identified on chromosome A03 and can result in an amino acid substitution in the conserved degron motif (GWPPV to EWPPV) of the Auxin/indole-3-acetic acid protein 7 (BnaA03.IAA7) encoded by the causative gene. Aux/IAA protein is one of the core components of the auxin signaling pathway, which regulates many growth and development processes. However, the molecular mechanism of auxin signal regulating plant height is still not well understood. In the following work, we identified that BnaARF6 and BnaARF8 as interactors of BnaA03.IAA7 and BnaEXPA5 as a target of BnaARF6 and BnaARF8. The three genes BnaA03.IAA7, BnaARF6/8 and BnaEXPA5 were highly expressed in stem, suggesting that these genes were involved in stem development. The overexpression of BnaEXPA5 results in larger rosettes leaves and longer inflorescence stems in Arabidopsis thaliana. Our results indicate that BnaA03.IAA7- and BnaARF6/8-dependent auxin signal control stem elongation and plant height by regulating the transcription of BnaEXPA5 gene, which is one of the targets of this signal.

Fatigue is a common but poorly understood issue in type 2 diabetes (T2DM) that affects quality of life. Although ceRNA networks regulate disease progression, their role in T2DM-related fatigue (F-T2DM) is unclear. This study developed a circRNA-mediated ceRNA network to uncover the molecular interactions causing fatigue in F-T2DM. The study included healthy control group (Control, n = 21), F-T2DM group (n = 21), and non-fatigue type 2 diabetes patients (NF-T2DM, n = 21). By combining high-throughput sequencing to screen differentially expressed circRNAs (F-T2DM vs Control: 1144; F-T2DM vs NF-T2DM: 1303) and mRNAs (F-T2DM vs Control: 912; F-T2DM vs NF-T2DM: 1190), it was found that hsa_circ_0078539 and hsa_circ_0026239 were significantly upregulated in F-T2DM compared to both Control and NF-T2DM groups, and their host genes were involved in cytoskeleton remodeling. The GO/KEGG enrichment analysis combined with weighted gene co-expression network (WGCNA) of F-T2DM compared with Control indicated that the core pathways of F-T2DM focused on actin cytoskeleton dynamic regulation, AMPK signaling pathway, tricarboxylic acid cycle, and oxidative stress response. In the enrichment analysis of F-T2DM and NF-T2DM, cytoskeleton dynamics regulation, AMPK signaling pathway, and tricarboxylic acid cycle were further enriched, and the specific activation of reactive oxygen metabolism balance and AGE-RAGE pathway was also observed. Further, through multi-database prediction and experimental verification, a F-T2DM-specific ceRNA network was constructed, and key regulatory axes hsa_circ_0044623/hsa-mir-129-5p/ MYLK3 , hsa_circ_0002622/hsa-mir-200b-3p/ RAB21 , and hsa_circ_0078539/hsa-mir-4695-3p/ SLC7A14 were screened out. The ceRNA regulatory network in human and animal samples was confirmed using RT-qPCR. These axes drive the pathological process by regulating myocardial contractility efficiency, glucose transport, mitochondrial energy metabolism, and insulin signaling pathway. This study clarified the molecular regulatory mode of patients with fatigue type 2 diabetes from the perspective of ceRNA network, providing a new direction for the research on diabetes classification and diagnosis.

Light climate environment (LCE) has a significant impact on human health, behavioral characteristics, and the safety of life and property due to the high albedo of snow on the ground cover type, which in turn affects the regional climate and socio-economic development, but less relevant studies have been found. In this study, the effect of snow on daytime and nighttime light levels was quantified using comparative field observations and controlled experiments in artificial climate chambers, combined with analysis of variance and model fitting. The results of the study found that there was a significant difference between the presence and absence of snow on both daytime and nighttime light levels. During daytime, the ambient light level on the ground with snow is 5.68 times higher than without snow, an improvement of 12,711.06 Lux. At night, with moonlight, the nighttime illuminance with and without snow is 0.213 Lux and 0.01 Lux, respectively. When there is no moonlight, the snow has no significant effect on the light level. In addition, significant differences in LCE intensity with different snow depths, snow densities and black carbon (BC) pollution. At the same background light intensity, the LCE intensity varies significantly with increasing snow depth, snow density and BC pollution. The results reveals the quantitative impact of snow on LCE, providing scientific support for regional natural light energy use, human health and safety, urban environmental management and economic development.