Browse Articles

A hybrid optimal feature selection and Conv-LSTM model (OFSCL) for short-term energy demand forecasting in distribution substations of Ahvaz, Iran

RETRACTED ARTICLE: Cognitive salience features enhance multitask deep learning for pragmatic reasoning across cultures

Effects of rice bran arabinoxylan compound on quality of life of cancer patients during active treatment: a randomised placebo-controlled pilot trial

The construction of improved evaluation indicator system and quantitative method of hydropower station dispatching scheme

Transient Flow model and heterogeneity effect analysis for fracture networks in shale gas horizontal wells

Hippopotamus optimization–tuned sigmoid PID controller for load frequency control of a two-area thermal power system with renewable energy sources

Retention of embryonic positional identity signatures in the adult sheep tail: evidence from HOXB13 spatial RNA expression gradients

Abstract Body axis patterning in vertebrates is controlled by HOX genes during embryogenesis, with their expression gradients defining spatial identity along the anterior–posterior axis. While the developmental roles of HOX genes in axial patterning are well established, it remains unclear to what extent embryonically defined anterior–posterior HOX expression patterns are retained as transcriptional signatures in adult tissues. Tail length in sheep provides a model for studying the phenotypic effects of HOX gene variants. We used Improved Jezersko–Solčava sheep, which segregate for both tail length and HOXB13 promoter variants, to examine genotype–phenotype associations. The HOXB13 genotype was the main determinant of adult tail length, acting primarily by modulating caudal vertebral number. RNA‑seq and qPCR analyses revealed a clear anterior–posterior HOXB13 expression gradient in adult tail skin and bones, consistent with retained positional patterning, with stronger distal expression in short‑tailed animals. These results provide in vivo evidence that spatially patterned HOX gene expression is retained in adulthood, consistent with residual transcriptional signatures of embryonic anterior–posterior identity.

Geospatial analysis of surface water and groundwater quality using GIS in Ishaka subcounty, Bushenyi District, Uganda

Abstract Access to safe drinking water remains a major public health challenge in low- and middle-income countries, particularly in rapidly urbanizing peri-urban settings. This study assessed the spatial variability of physicochemical and microbiological water quality in Ishaka Subcounty, western Uganda, using field-based measurements integrated with Geographic Information Systems (GIS). A total of 49 water samples were analysed for physicochemical parameters (pH, electrical conductivity, total dissolved solids, total suspended solids, temperature, dissolved oxygen, and nitrates) and microbiological indicators (faecal coliforms and Escherichia coli ). Spatial interpolation was performed using the Thin Plate Spline method. Results indicate that physicochemical parameters largely complied with WHO and Uganda National Bureau of Standards drinking-water guidelines, while microbiological contamination was widespread and spatially clustered. These findings demonstrate that microbial contamination poses the most significant public health risk despite generally acceptable chemical water quality. The study provides spatially explicit evidence to support targeted water safety interventions and public health planning in similar peri-urban environments.

Correction to “Oligoether Chain Engineering in Covalent Organic Frameworks: Enhancing Transport Pathways and Oxygen Reduction Activity for Efficient Electrocatalytic Hydrogen Peroxide Production”

Advancing APT detection through transformer-driven feature learning and synthetic data generation

Abstract Advanced Persistent Threat (APT) detection based on artificial intelligence (AI) platforms has emerged as a dominant trend, has attracted increasing attention in cybersecurity. Nevertheless, two major challenges remain: (i) how to effectively extract discriminative features from complex network traffic flows, and (ii) how to address severe class imbalance caused by the rarity of APT attacks. To tackle these challenges, we propose an integrated pipeline/framework named ET-SDG. The ET-SDG model integrates Transformer-based Feature Learning with a Conditional Generative Model for Synthesis (CGMS). Specifically, the Transformer-based feature learning component combines the ExtraTrees algorithm with a Transformer architecture to select, aggregate, and encode informative flow-level features. To mitigate data imbalance, ET-SDG incorporates CGMS, a cGAN-based synthetic data generation module designed for data augmentation of minority APT traffic. By conditioning the generation process on class labels, CGMS synthesizes representative minority-class samples, aiming to improve the robustness and generalization of the downstream detection model under class imbalance. Across the evaluated benchmarks, ET-SDG shows competitive results and provides modest improvements (approximately 1–4% points, depending on the dataset and metric) relative to the compared baselines.

A fully automated workflow for the digital image analysis of the intestinal microcolony survival assay

Hand gesture 3D pose estimation method based on swin transformer and CNN

Dual Circularly Polarized Luminescence from Chiral Boron‐Embedded Polycyclic Aromatic Hydrocarbons

Abstract Reversible coordination bonds between boron and heteroatoms endow boron‐based π‐conjugated frameworks with dynamic functionality, as interconversion between tri‐ and tetracoordinate boron centers induces pronounced changes in both molecular geometry and electronic structure. In this study, we synthesized a series of chiral boron‐embedded polycyclic aromatic hydrocarbons featuring an asymmetric boron center intramolecularly coordinated by a proximal P═O moiety. The resulting tetracoordinate enantiomers exhibit high configurational stability, enabling optical resolution by chiral HPLC. Notably, among the compounds, anthracene‐fused boracyclic derivatives display dual circularly polarized luminescence (CPL) arising from excited‐state dissociation of the intramolecular P═O⋯B bond, a process whose extent varies depending on the degree of π‐extension. In these systems, bond‐cleavage converts point chirality in the tetracoordinate state into C−B axial chirality in the tricoordinate state. Taking advantage of the intrinsically superior photophysical properties of tricoordinate boranes, one derivative exhibited CPL with a high quantum yield, while another displayed red‐shifted CPL extending to the deep‐red region. Furthermore, the dynamic P═O⋯B coordination is highly sensitive to hydrogen‐bonding ability and polarity of solvent, thereby giving rise to solvent‐dependent dual CPL behavior. These findings establish a new strategy for exploiting reversible coordination in chiral boron‐PAHs to access responsive chiroptical functionalities.

Seasonal and diel acoustic activity of sei whales (Balaenoptera borealis) in the New York Bight

A unified EfficientSwinB-based framework for medicinal plant recognition and safflower germplasm classification

In vitro evaluation of a decellularized human fetal skin–derived scaffold repopulated with human amniotic fluid stem cells for potential application in myelomeningocele repair

Comprehensive characterization of VSIR reveals dual epigenetic regulation and immune landscape across hematological malignancies

Integrated biochemical, histological, and transcriptomic analyses reveal dose-dependent effects of sodium alginate on the physiology of Meretrix meretrix

Multi-dimensional immunoprotection of Ganoderma lucidum spore oil in immunosuppressed mice via microbiome-proteome-metabolome network analysis

Abstract Ganoderma lucidum has a long-standing history of use as a medicinal mushroom, with its spore oil (GLSO) extracted from broken cell walls using CO 2 supercritical extraction. However, there is a notable scarcity of experimental studies on the protective effects and underlying mechanisms of GLSO on immune function impairment. The present study aims to explore the characteristics that GLSO contributes to protecting immune functions in cyclophosphamide-induced immunocompromised mice through a multi-omics analysis approach. GLSO administration significantly improved serum hemolysin levels, macrophage phagocytosis, and NK cell activity in immunosuppressed mice. Metagenomics, metabolomic, and proteomic analyses revealed that the immune protection mediated by GLSO was associated with structural rearrangements within gut microflora and shifts in microbial diversity. Specifically, there was an increase in beneficial microorganisms and a decrease in pathogenic organisms, accompanied by various alterations in metabolites and protein expressions. The identified 5 metabolites (propionic acid, beta-glycyrrhetinic acid, 3-aminosalicylic acid, creatine, and 2-phenylacetamide) and 5 proteins (Slc9a9, Blm, Hk3, AP1M2, and J chain) might serve as potential mediators of GLSO to alleviate immune dysfunction collectively caused by CYP in immunosuppressed mice.

AI-driven emergency logistics network deployment in dynamic environments