This study is based on the phylogenetic framework of ConocybesectionPilosellae and incorporates materials from Jilin Province. A systematic phylogenetic tree was constructed using maximum likelihood and Bayesian analyses of internal transcribed spacer region (ITS) and nuclear large subunit ribosomal DNA (nrLSU), and translation elongation factor 1-alpha () sequences. As a result, three new species were discovered in Jilin Province: , which emerges in broad-leaved forests during spring; , characterized by angular and submitriform or slightly hexagonal basidiospores; and , with basidiomata displaying a reddish hue when fresh and a bluish hue when dry. Additionally, a new record for China, was identified, characterized by the lack of distinct pubescence on the pileus and slightly hexagonal basidiospores, increasing the total number of species within sect. Pilosellae to 22. Key for sect. Pilosellae is provided, accompanied by morphological descriptions and line drawings for the new species and a new record for China.
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http://dx.doi.org/10.3897/mycokeys.114.140056 | DOI Listing |
Talanta
March 2025
State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130000, PR China. Electronic address:
Methods for electrochemical detection of heavy metal ions have garnered widespread attention due to their high sensitivity, ease of operation, low cost, and suitability for on-site detection. However, these methods typically require a pre-enrichment step to improve the detection limit and sensitivity, which increases operational complexity and introduces potential errors. In this study, tungsten oxide electrodes with various functional groups were prepared by electrodeposition and high-temperature annealing, utilizing the amphoteric properties of l-alanine.
View Article and Find Full Text PDFNeural Netw
March 2025
School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun, China; College of Artificial Intelligence Technology, Changchun Institute of Technology, Changchun, China. Electronic address:
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limited computational resources of devices, non-IID data distribution, and dynamic network topology. Existing approaches often rely on centralized coordination and stable network conditions, which may not be feasible in practice. To address these issues, we propose an adaptive distributed multi-task learning framework called ADAMT for efficient image recognition in resource-constrained mobile ad hoc networks.
View Article and Find Full Text PDFFood Chem
March 2025
Key Laboratory for Photochemical Biomaterials and Energy Storage Materials of Heilongjiang Province, Key Laboratory for Photonic and Electronic Bandgap Materials of Ministry of Education, College of Chemistry and Chemical Engineering, Harbin Normal University, Harbin 150025, China. Electronic address:
An efficient and readable sensor is desirable for food safety and diagnosis. Herein, a homogeneous mimicking enzyme was constructed by encapsulating polyoxometalate (NH₄)₃[FeMo₆O₁₈(OH)₆]·6H₂O (FeMo) into the covalent organic framework (FeMo@COF). Coordinating the spatial confinement effect of COF, FeMo exhibited superior peroxide-like activity to catalyze HO to O• which achieved the "on-off" consecutive sensing of HO and AA via a readable colorimetric mode, with the limit of detection (LOD) at 30 μM and 0.
View Article and Find Full Text PDFBrief Bioinform
March 2025
School of Artificial Intelligence, Jilin University, 3003 Qianjin Street, Changchun 130012, Jilin Province, China.
Identifying genes causally linked to cancer from a multi-omics perspective is essential for understanding the mechanisms of cancer and improving therapeutic strategies. Traditional statistical and machine-learning methods that rely on generalized correlation approaches to identify cancer genes often produce redundant, biased predictions with limited interpretability, largely due to overlooking confounding factors, selection biases, and the nonlinear activation function in neural networks. In this study, we introduce a novel framework for identifying cancer genes across multiple omics domains, named ICGI (Integrative Causal Gene Identification), which leverages a large language model (LLM) prompted with causality contextual cues and prompts, in conjunction with data-driven causal feature selection.
View Article and Find Full Text PDFJ Neurol
March 2025
Department of Neurology, Xuanwu Hospital Capital Medical University, Beijing, China.
Objective: The aim of this study was to analyze the clinical characteristics of adult patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis combined with anti-myelin oligodendrocyte glycoprotein (MOG) antibodies.
Methods: This was a non-randomized controlled study. Clinical data were collected from 17 patients with anti-NMDAR encephalitis combined with anti-MOG antibodies admitted to Xuanwu Hospital, Capital Medical University, from January 2020 to August 2024.
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