-
4921
Identification of lncRNAs in peripheral blood mononuclear cells associated with sepsis immunosuppression based on weighted gene co-expression network analysis
Published 2025-04-01“…Objective We aimed to identify immunosuppression-related lncRNAs and their functional pathways in sepsis. Methods: Using weighted gene coexpression network analysis (WGCNA), we analyzed lncRNA profiles from peripheral blood mononuclear cells (PBMCs) of three sepsis patients and three healthy controls. …”
Get full text
Article -
4922
Biomarkers in glioblastoma and degenerative CNS diseases: defining new advances in clinical usefulness and therapeutic molecular target
Published 2025-03-01“…Machine learning methods, including Random Forest, Least Absolute Shrinkage and Selection Operator (LASSO), and Support Vector Machine - Recursive Feature Elimination (SVM-RFE), were used for case-control differentiation, complemented by functional enrichment analysis and external validation of key genes.ResultsNinety-five commonly altered genes related to degenerative CNS diseases and GBM were identified, with RELN and GSTO2 emerging as significant through machine learning screening. …”
Get full text
Article -
4923
Identification of key genes regulating brown adipose tissue thermogenesis in goat kids (Capra hircus) by using weighted gene co-expression network analysis
Published 2025-05-01“…This pattern is consistent with the rapid color, morphological, and thermogenic changes observed in perirenal adipose tissue shortly after birth. GO functional annotation revealed that the genes in the turquoise module were significantly enriched in the mitochondrion, mitochondrial protein-containing complex, cytoplasm, and mitochondrial inner membrane. …”
Get full text
Article -
4924
Development of an information measuring and control system for a quadrocopter
Published 2021-12-01“…The main sensors and modules used to determine the parameters of the coordinates of quadrocopters are given. …”
Get full text
Article -
4925
Computer-aided Simulation of a Cascade Biorefinery: Case Study of the Colombian Amazon’s Hass Avocado Waste
Published 2025-07-01“…The principal contribution of this research lies in showing, through detailed simulation, the technical feasibility of a multistep system that integrates physical, chemical, and biotechnological processes to produce functional bioproducts from agricultural waste. Unlike fragmented approaches, this cascade biorefinery optimizes resource utilization, broadens product diversity, and minimizes waste, thereby supporting sustainability and circular economy principles.…”
Get full text
Article -
4926
CareTaker.ai—A Smart Health-Monitoring and Caretaker-Assistant System for Elder Healthcare
Published 2025-01-01“…It consists of smart bed sheets, pillow covers with embedded sensors, and a processing unit with GPUs, conversational AI, and generative AI capabilities, with associated functional modules. Compared to existing systems, the proposed system has advanced monitoring and analysis capabilities with potential for low-cost mass manufacturing and a widespread commercial application.…”
Get full text
Article -
4927
EPAS1 amplifies asthma pathogenesis through JAK2/STAT3-mediated ferroptosis and inflammation
Published 2025-03-01“…Immune analysis revealed that EPAS1 is closely associated with immune cell infiltration in asthma. Functional experiments further demonstrated that the JAK2/STAT3 axis promotes ferroptosis and inflammatory responses by upregulating EPAS1 expression. …”
Get full text
Article -
4928
Bioinformatics Identification and Validation of Ferroptosis-Related Key Genes and Therapeutic Compounds in Septic Lung Injury
Published 2024-11-01“…Protein-protein interaction (PPI) networks and functional enrichment analysis were employed to identify key ferroptosis-related DEGs. …”
Get full text
Article -
4929
Identification of RNA binding protein genes associated with colorectal cancer by bioinformatics analysis
Published 2025-08-01“…Protein–protein interaction (PPI) network analysis revealed key modules involving 394 nodes, highlighting their functional interconnectivity. …”
Get full text
Article -
4930
FibroRegNet: A Regression Framework for the Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Spatial Transformer Network
Published 2024-01-01“…While the Forced Vital Capacity (FVC) serves as one of the indicators of lung functionality, accurately determining its decline solely based on previous FVC values presents a significant obstacle. …”
Get full text
Article -
4931
Computer Simulation of Ideological and Political Teaching under Big Data of Complexity
Published 2021-01-01“…The performance test and function test results reveal that when the maximum number of concurrent users is 500, the system can run normally with the maximum response time of 6.6 s and the good condition of various functions, so it can meet the actual needs of universities. …”
Get full text
Article -
4932
Time-varying spectral power of resting-state fMRI networks reveal cross-frequency dependence in dynamic connectivity.
Published 2017-01-01“…Despite high spatial resolution, functional magnetic resonance imaging (fMRI) suffers from low temporal resolution due to modulation with slow-varying hemodynamic response function (HRF) and also relatively low sampling rate. …”
Get full text
Article -
4933
Serum creatinine to cystatin C ratio as monitoring biomarker in Chinese adult spinal muscular atrophy: a prospective cohort study
Published 2025-05-01“…Methods In this prospective observational study, 28 adult SMA patients were followed for 18 months. Data on motor function and daily activities were collected using the Hammersmith Functional Motor Scale Expanded (HFMSE), Revised Upper Limb Module (RULM), 6-Minute Walking Test (6WMT), and Barthel Index (BI). …”
Get full text
Article -
4934
Approbation of the mechanism of economic reliability on the example of an industrial enterprise
Published 2023-02-01“…To analyze the current state of an industrial enterprise, a generalized indicator of the level of economic reliability in dynamics over six years has been established using the desirability function. Absolute indicators for the main processes of an industrial enterprise have been translated into dimensionless ones, and partial indicators of desirability have been found. …”
Get full text
Article -
4935
Brain organoid maturation and implantation integration based on electrical signals input
Published 2025-07-01“…Introduction: Brain organoids are believed to be able to regenerate impaired neural circuits and reinstate brain functionality. The neuronal activity of organoids is considered a crucial factor for restoring host function after implantation. …”
Get full text
Article -
4936
Unraveling the impact of lysosomal dysfunction on myeloproliferative neoplasm
Published 2024-09-01“…OSM, as one of the potential molecules, plays a crucial role in PV pathogenesis by impairing lysosomal function.…”
Get full text
Article -
4937
SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening
Published 2025-02-01“…Additionally, we introduce Pareto optimization to the nonreference loss function to improve the overall performance. We conducted comparative experiments on two representative datasets, QuickBird and Gaofen-2 (GF-2). …”
Get full text
Article -
4938
A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture
Published 2025-02-01“…This study focuses on pest and disease detection in cistanche, proposing a Transformer-based object detection network enhanced by a bridging attention mechanism and bridging loss function, demonstrating outstanding performance in complex agricultural scenarios. …”
Get full text
Article -
4939
Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets
Published 2025-12-01“…Weighted gene co-expression network analysis (WGCNA) was conducted to identify key modules of co-expressed genes and genes involved in NK cell function. …”
Get full text
Article -
4940
SMEA-YOLOv8n: A Sheep Facial Expression Recognition Method Based on an Improved YOLOv8n Model
Published 2024-11-01“…Additionally, the EfficiCIoU loss function replaces the original Complete IoU(CIoU) loss function, thereby improving bounding box localization accuracy and accelerating model convergence. …”
Get full text
Article