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Communication01:03

Communication

8.8K
Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.
8.8K
Communication01:28

Communication

11.3K
Sharing information, concepts, and emotions to foster mutual understanding is communication. The sender, recipient, and transaction must be considered in this manner. The sender is the person who shares the message, the recipient is the person who receives and understands the message, and the transaction is the method used to deliver the message and the variables that affect the communication's context and surroundings. The nurse-client connection is built on therapeutic communication.
11.3K
Tissues01:18

Tissues

85.5K
Cells with similar structure and function are grouped into tissues. A group of tissues with a specialized function is called an organ. There are four main types of tissue in vertebrates: epithelial, connective, muscle, and nervous.
85.5K
Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K
Neuronal Communication01:28

Neuronal Communication

3.5K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
3.5K
Therapeutic Communication01:30

Therapeutic Communication

8.5K
Communication is a lifelong learning process. Through therapeutic communication, nurses can collect relevant assessment data, provide education and counseling, and interact during nursing interventions. Sending and receiving messages occur through verbal and nonverbal communication techniques and can happen separately or simultaneously.
Verbal communication depends on language or a prescribed way of using words so that people can share information effectively. The critical aspects of verbal...
8.5K

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相关实验视频

Updated: Feb 8, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

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MultiSP从空间多omics数据中解读组织结构和多细胞通信.

Chenfeng Mo1, Xiufen Zou1, Suoqin Jin1

  • 1School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei 430072, China.

Cell genomics
|February 6, 2026
PubMed
概括
此摘要是机器生成的。

多SP,一个新的深度学习框架,通过融合特征和建模模式来增强空间多omics数据分析. 它揭示了组织异质性和细胞通信,优于现有的方法.

关键词:
细胞与细胞之间的通信.拒绝数据的数据数据集成数据集成数据集成深度学习是一种深度学习.多模式异质性的多样性.空间域是一个空间域.空间多主题空间多主题组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织组织

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Data Communication Based on MQTT in a Polymer Extrusion Process
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Data Communication Based on MQTT in a Polymer Extrusion Process

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相关实验视频

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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 空间多omics技术可以同时对多种数据类型进行分析,同时保持组织架构.
  • 从稀疏,杂的多omics数据中解释复杂的空间结构和蜂通信仍然是一个重大挑战.

研究的目的:

  • 开发一个深度学习框架,MultiSP,用于增强空间多学科数据的表示和解释.
  • 提高对组织复杂性,异质性和细胞间细胞通信在空间环境中的理解.

主要方法:

  • 多SP采用高效的空间和特征相似性融合.
  • 它使用模式特定的概率生成模型和跨模式对抗学习.
  • 该框架整合了来自多个omics模式的互补信息.

主要成果:

  • 在捕获生物可解释的空间领域方面,MultiSP的性能优于现有的方法.
  • 它有效地否定空间数据,揭示模式特定的空间变异,并揭示基因调节机制.
  • 该框架确定了瘤微环境中的精细分辨率细胞分布图,包括预后相关的巨丰富区域.

结论:

  • MultiSP提供了一个强大的框架,用于发现空间多式联络的异质性和通信.
  • 互补的多学科数据的整合增强了对复杂生物系统的理解.
  • 这种方法有助于推断空间解析的细胞-细胞通信网络.