Results 41 to 50 of about 17,810 (215)
Groups with few self-centralizing subgroups which are not self-normalizing
A self-normalizing subgroup is always self-centralizing, but the converse is not necessarily true. Given a finite group G , we denote by w(G) the number of all self ...
Hassanzadeh, Mahmoud, Mostaghim, Zohreh
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Cer24:1 levels are reduced in neutrophilic asthma and inversely correlate with disease severity and airway neutrophilia. Restoring Cer24:1 suppresses pathogenic Th17 differentiation by engaging EP2 on CD4+ T cells, thereby dampening the JAK2–STAT3–RORγt axis and reducing IL‐17 production.
Huan Liu +11 more
wiley +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
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ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy +8 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source
Superatom Distortion Induces Triferroicity and Spin Splitting in Two‐Dimensional Antiferromagnets
The incorporation of superatoms into a 2D square lattice induces symmetry breaking, thereby enabling concurrent coupling among magnetism, ferroelectricity, and ferroelasticity. This strategy achieves triferroic behavior—characterized by spin‐split antiferromagnetic ground states—and offers a viable pathway toward energy‐efficient spintronic devices ...
Zhen Gao +6 more
wiley +1 more source
Character correspondences in solvable groups with a self-normalizing sylow subgroup
Let [Formula: see text] be a finite solvable group and let [Formula: see text] for some prime [Formula: see text]. Whenever [Formula: see text] is odd, Isaacs described a correspondence between irreducible characters of degree not divisible by [Formula: see text] of [Formula: see text] and [Formula: see text].
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A novel transcriptional module involving CsYABBY3 and CsAS1 is identified to regulate cannabinoid biosynthesis and trichome development. These factors mutually activate each other and form a protein complex via a conserved residue, acting synergistically to amplify metabolic flux through a coordinate feed‐forward mechanism.
Xuewen Zhu +18 more
wiley +1 more source
Maximal Subgroups of Compact Lie Groups
This report aims at giving a general overview on the classification of the maximal subgroups of compact Lie groups (not necessarily connected). In the first part, it is shown that these fall naturally into three types: (1) those of trivial type, which ...
Antoneli, Fernando +2 more
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