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The distinct over-tiltings of band crossings in topological semimetals generate the type-I and type-II classification of Dirac/Weyl and nodal-line fermions, accompanied by exotic electronic and magnetic transport properties. In this work, we propose a concept of hybrid nodal-chain semimetal (NCSM), which is identified by linked type-I and type-II nodal rings (NRs) and hosts inevitable flat band. Using first-principles calculations and structure search technique, a new ternary nitride MgCaN2 is proposed as the first candidate to realize a novel 3D hybrid NCSM state. Remarkably, flat band is emergent along specific direction as a characteristic signature of such a hybrid nodal-chain, thus offering a platform to explore the interplay between topological states and flat bands. By analyzing the mirror Z2 topological invariant and developing a low-energy effective k⋅p model, we unveil the physical origin of the hybrid nodal-chain structure with multiple-mirror protected mechanism. Moreover, when the linked NRs are projected onto the (010) and (001) surfaces, considerable drumhead-like topological surface states can be illustrated with unique connection patterns. These results expand our understanding of NCSMs from significant band tilting effects and provide a new candidate on realizing hybrid nodal-chain fermion for further theoretical and experimental investigations.

N6-methyladenosine (m6A) methylation, one of the most common RNA modifications, has been reported to execute important functions that affect normal life activities and diseases. Most studies have suggested that m6A modification can affect the complexity of cancer progression by regulating biological functions related to cancer. M6A modification of noncoding RNAs regulates the cleavage, transport, stability, and degradation of noncoding RNAs themselves. It also regulates cell proliferation and metastasis, stem cell differentiation, and homeostasis in cancer by affecting the biological function of cells. Interestingly, noncoding RNAs also play significant roles in regulating these m6A modifications. Additionally, it is becoming increasingly clear that m6A and noncoding RNAs potentially contribute to the clinical application of cancer treatment. In this review, we summarize the effect of the interactions between m6A modifications and noncoding RNAs on the biological functions involved in cancer progression. In particular, we discuss the role of m6A and noncoding RNAs as possible potential biomarkers and therapeutic targets in the treatment of cancers.

Employing a combination of first-principles calculations and low-energy effective models, we present a comprehensive investigation on the electronic structure of Pb10(PO4)6O4, which exhibits remarkable quasi-one-dimensional topological flat-band around the Fermi level. These flat bands predominantly originate from the px/py orbitals of the oxygen molecules chain at the fully-occupied 4e Wyckoff positions and thus can be well-captured by a minimal four-band tight-binding model. Furthermore, the abundant crystal symmetry inherent in Pb10(PO4)6O4 provides an ideal platform for the emergence of various quasi-fermions characterized by different dispersion, degeneracy, and dimensionality. These include a 0D four-fold degenerate Dirac fermion exhibiting quadratic dispersion, a 1D quadratic/linear nodal-line fermion along symmetric k-paths, a 1D hourglass nodal-line (HNL) fermion associated with the Dirac fermion, and a 2D symmetry-enforced nodal surface located on the kz = π plane. Moreover, when considering the weak ferromagnetic order, Pb10(PO4)6O4 transforms into a rare semi-half-metal, which is characterized by the presence of Dirac fermion and HNL fermion at the Fermi level for a single spin channel exhibiting 100% spin polarization. Our findings reveal the rarely coexistence of flat bands, diverse topological semimetal states and ferromagnetism in Pb10(PO4)6O4, which may provide valuable insights for further exploring the intriguing interplay between superconductivity and exotic electronic states.

Background The potential effects of pre-pregnancy body mass (BMI) and gestational weight gain (GWG) on pregnancy outcomes remain unclear. Thus, we investigated socio-demographic characteristics that affect pre-pregnancy BMIs and GWG and the effects of pre-pregnancy BMI and GWG on Chinese maternal and infant complications. Methods 3172 women were enrolled in the Chinese Pregnant Women Cohort Study-Peking Union Medical College from July 25, 2017 to July 24, 2018, whose babies were delivered before December 31, 2018. Regression analysis was employed to evaluate the socio-demographic characteristics affecting pre-pregnancy BMI and GWG values and their effects on adverse maternal and infant complications. Results Multivariate logistic regression analysis revealed that age groups < 20 years (OR: 1.97), 25–30 years (OR: 1.66), 30–35 years (OR: 2.24), 35–40 years (OR: 3.90) and ≥ 40 years (OR: 3.33) as well as elementary school or education below (OR: 3.53), middle school (OR: 1.53), high school (OR: 1.40), and living in the north (OR: 1.37) were risk factors in maintaining a normal pre-pregnancy BMI. An age range of 30–35 years (OR: 0.76), living in the north (OR: 1.32) and race of ethnic minorities (OR: 1.51) were factors affecting GWG. Overweight (OR: 2.01) and inadequate GWG (OR: 1.60) were risk factors for gestational diabetes mellitus (GDM). Overweight (OR: 2.80) and obesity (OR: 5.42) were risk factors for gestational hypertension (GHp). Overweight (OR: 1.92), obesity (OR: 2.48) and excessive GWG (OR: 1.95) were risk factors for macrosomia. Overweight and excessive GWG were risk factors for a large gestational age (LGA) and inadequate GWG was a risk factor for low birth weights. Conclusions Overweight and obesity before pregnancy and an excessive GWG are associated with a greater risk of developing GDM, GHp, macrosomia and LGA. The control of body weight before and during the course of pregnancy is recommended to decrease adverse pregnancy outcomes, especially in pregnant women aged < 20 or > 25 years old educated below university and college levels, for ethnic minorities and those women who live in the north of China. Trial registration Registered at Clinical Trials ( NCT03403543 ), September 29, 2017.

Humans exhibit a remarkable ability to selectively focus on auditory stimuli in multi-speaker environments, such as cocktail parties. The Auditory Attention Detection (AAD) method aims to identify the conversation that a listener is attending to through the analysis of neural signals, particularly utilizing electroencephalography (EEG) data. However, current methodologies in this domain encounter several significant limitations. While many existing AAD methods use additional information–like spatial or frequency features–to improve decoding accuracy, they often miss the relationships between signals from different EEG channels. To address these shortcomings, this paper introduces a novel hybrid channel attention network for AAD. Our approach is the first to integrate spatial-temporal filtering, dynamic multi-scale feature fusion, and efficient cross-channel attention into a single unified architecture, enabling it to capture complex neural patterns of attention that previous methods overlooked. Our proposed network first extracts spatial-temporal features from raw EEG signals employing a dedicated spatial-temporal feature extraction module. The extracted features are then processed by a module that combines information across different time scales and uses an attention mechanism to identify important relationships between EEG channels. Experimental results demonstrate that our network achieves superior classification performance compared to baseline methods, particularly under conditions with short decision windows. Notably, while maintaining exceptional accuracy, the proposed architecture significantly reduces model parameters.

Salmonella Typhimurium establishes systemic infection by replicating in host macrophages. Here we show that macrophages infected with S . Typhimurium exhibit upregulated glycolysis and decreased serine synthesis, leading to accumulation of glycolytic intermediates. The effects on serine synthesis are mediated by bacterial protein SopE2, a type III secretion system (T3SS) effector encoded in pathogenicity island SPI-1. The changes in host metabolism promote intracellular replication of S . Typhimurium via two mechanisms: decreased glucose levels lead to upregulated bacterial uptake of 2- and 3-phosphoglycerate and phosphoenolpyruvate (carbon sources), while increased pyruvate and lactate levels induce upregulation of another pathogenicity island, SPI-2, known to encode virulence factors. Pharmacological or genetic inhibition of host glycolysis, activation of host serine synthesis, or deletion of either the bacterial transport or signal sensor systems for those host glycolytic intermediates impairs S . Typhimurium replication or virulence. Salmonella Typhimurium establishes systemic infection by replicating in host macrophages. Here, Jiang et al. show that infected macrophages exhibit upregulated glycolysis and decreased serine synthesis, leading to accumulation of glycolytic intermediates that promote intracellular replication and virulence of S . Typhimurium.

Phenotypic convergence between distantly related taxa often mirrors adaptation to similar selective pressures and may be driven by genetic convergence. The giant panda (Ailuropoda melanoleuca) and red panda (Ailurus fulgens) belong to different families in the order Carnivora, but both have evolved a specialized bamboo diet and adaptive pseudothumb, representing a classic model of convergent evolution. However, the genetic bases of these morphological and physiological convergences remain unknown. Through de novo sequencing the red panda genome and improving the giant panda genome assembly with added data, we identified genomic signatures of convergent evolution. Limb development genes DYNC2H1 and PCNT have undergone adaptive convergence and may be important candidate genes for pseudothumb development. As evolutionary responses to a bamboo diet, adaptive convergence has occurred in genes involved in the digestion and utilization of bamboo nutrients such as essential amino acids, fatty acids, and vitamins. Similarly, the umami taste receptor gene TAS1R1 has been pseudogenized in both pandas. These findings offer insights into genetic convergence mechanisms underlying phenotypic convergence and adaptation to a specialized bamboo diet.

Our understanding of how aging affects the cellular and molecular components of the vasculature and contributes to cardiovascular diseases is still limited. Here we report a single-cell transcriptomic survey of aortas and coronary arteries in young and old cynomolgus monkeys. Our data define the molecular signatures of specialized arteries and identify eight markers discriminating aortic and coronary vasculatures. Gene network analyses characterize transcriptional landmarks that regulate vascular senility and position FOXO3A , a longevity-associated transcription factor, as a master regulator gene that is downregulated in six subtypes of monkey vascular cells during aging. Targeted inactivation of FOXO3A in human vascular endothelial cells recapitulates the major phenotypic defects observed in aged monkey arteries, verifying FOXO3A loss as a key driver for arterial endothelial aging. Our study provides a critical resource for understanding the principles underlying primate arterial aging and contributes important clues to future treatment of age-associated vascular disorders. Arterial degeneration, closely associated with cardiovascular diseases, is driven by aging-related vascular cell-specific transcriptomics changes. This study provides a single-cell transcriptomic atlas for senile aortic and coronary arteries and underscores FOXO3A -based the transcriptional network in vasoprotection during aging.

Agricultural extension plays a crucial role in disseminating knowledge, empowering farmers, and advancing agricultural development. The effectiveness of these roles can be greatly improved by integrating technology. These technologies, often grouped into two categories–agricultural technology and educational technology–work together to yield the best outcomes. While several studies have been conducted using technologies in agricultural extension programs, no previous reviews have solely examined the impact of these technologies in agricultural extension, and this leaves a significant knowledge gap especially for professionals in this field. For this scoping review, we searched the five most relevant, reliable, and comprehensive databases (CAB Abstracts (Ovid), AGRICOLA (EBSCO), ERIC (EBSCO), Education Source (EBSCO), and Web of Science Core Collection) for articles focused on the use of technology for training farmers in agricultural extension settings. Fifty-four studies published between 2000 and 2022 on the use of technology in agricultural extension programs were included in this review. Our findings show that: (1) most studies were conducted in the last seven years (2016–2022) in the field of agronomy, with India being the most frequent country and Africa being the most notable region for the studies; (2) the quantitative research method was the most employed, while most of the included studies used more than one data collection approach; (3) multimedia was the most widely used educational technology, while most of the studies combined more than one agricultural technology such as pest and disease control, crop cultivation and harvesting practices; (4) the impacts of technology in agricultural extension were mostly mixed, while only the educational technology type had a statistically significant effect or impact of the intervention outcome. From an analysis of the results, we identified potential limitations in included studies’ methodology and reporting that should be considered in the future like the need to further analyze the specific interactions between the two technology types and their impacts of some aspects of agricultural extension. We also looked at the characteristics of interventions, the impact of technology on agricultural extension programs, and current and future trends. We emphasized the gaps in the literature that need to be addressed.

The cascade reaction of lipopolysaccharides (LPS), cell-free DNA (cfDNA), and reactive oxygen species (ROS), drives the development of inflammatory bowel disease (IBD). Herein, we construct polyethylenimide (PEI)-L/D-tartaric acid (L/D-TA) complexes templated mesoporous organosilica nanoparticles (MON) (PEI-L/D-TA@MON) by mimicking biosilicification under ambient conditions within seconds. The chiral nanomedicines include four functional moieties, wherein PEI electrostatically attracts cfDNA, tetrathulfide bonds reductively react with ROS, silanol groups adsorb LPS, and L/D-TA enables chiral recognition and inflammatory localization. Following oral administration, PEI-L-TA@MON exhibiting preferential conformation stereoscopically matches with mucosa and anchors onto inflammatory intestine for lesion targeting. PEI-L-TA@MON eliminates LPS, ROS, and cfDNA, alleviating oxidative stress, inhibiting inflammatory cascade, and maintaining immune homeostasis to achieve IBD therapy. In addition, the rapid synthesis, low cost, energy-free preparation, negligible toxicity, satisfactory therapeutic effect, and facile conversion on therapeutic modes of PEI-L-TA@MON will bring changes for IBD treatment, providing research values and translational clinical prospects. The cascade reaction of lipopolysaccharides (LPS), cell-free DNA (cfDNA), and reactive oxygen species (ROS), drives the development of inflammatory bowel disease (IBD). Here, Xu et. al. construct chiral nanomedicines composed of four functional moieties to eliminate LPS, ROS, and cfDNA for targeted treatment of IBD.