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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

318
Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Altered States of Awareness01:06

Altered States of Awareness

1.2K
Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
The ingestion of substances like stimulants or hallucinogens leads to chemical alterations in the brain...
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Subconsciousness and No Awareness01:15

Subconsciousness and No Awareness

725
The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
An illustrative example of subconscious processing is its role in problem-solving. Often, individuals...
725
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

792
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
792
Fineness of Cement01:15

Fineness of Cement

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The fineness of cement directly influences the rate of hydration, as the hydration begins at the surface of the cement particles. In addition to hydration, the fineness of cement is vital for various properties of concrete including workability, gypsum requirement, and long-term behavior. The fineness of cement is represented in terms of the specific surface of cement which is typically measured in square meters per kilogram, with several methods available for this determination.
Direct...
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Fineness Modulus01:19

Fineness Modulus

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The fineness modulus (FM) of aggregate is a numerical index that measures the coarseness or fineness of the particles. It is calculated by adding the cumulative percentages of aggregate retained on each of a specified series of sieves and dividing the sum by 100.
Consider performing sieve analysis on sand through a set of ASTM sieves. The weight of aggregate retained in each sieve and pan placed at the bottom is recorded, as given in Column B of Table 1.
To determine the fineness modulus of...
1.5K

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Updated: Feb 14, 2026

Determining the Mechanical Strength of Ultra-Fine-Grained Metals
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Determining the Mechanical Strength of Ultra-Fine-Grained Metals

Published on: November 22, 2021

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混合解码与共发生意识用于细粒粮食图像细分的混合解码.

Shenglong Wang1, Guorui Sheng1

  • 1School of Computer Science and Artificial Intelligence, Ludong University, Yantai 264025, China.

Foods (Basel, Switzerland)
|February 13, 2026
PubMed
概括

一种新的混合解码器用于食品图像分割 (HDF) 方法通过有效细分成分来改进食品图像分析,这对于饮食评估和营养洞察至关重要.

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 生物医学信息学 生物医学信息学

背景情况:

  • 细粒食品图像细分对于饮食评估和营养分析至关重要.
  • 挑战包括模两可的边界,相似的食物外观和复杂的餐饮布局.
  • 当前的CNN,变压器和Mamba模型在当地细节和远程上下文方面扎.

研究的目的:

  • 开发一种新的解码框架,即食品图像细分混合解码器 (HDF),以增强食品图像细分.
  • 解决现有方法在捕捉细粒度细节和上下文依赖性方面的局限性.
  • 为了提高在复杂的食图像中对各种食品成分进行细分的准确性.

主要方法:

  • 建议使用MambaVision骨干的HDF框架.
  • 采用基于卷积的特征金字塔网络 (FPN) 来进行多阶段的特征提取.
  • 集成了一个跨层Mamba模块,以实现高效的多尺度特征融合.
  • 整合了一个注意力改进模块,用于全球语义上下文.
  • 引入了食品共发生模块,以学习类别模式和增强语义.

主要成果:

  • 在FoodSeg103基准上实现了52.25%的mIoU.
关键词:
深度学习是一种深度学习.食物的同时发生.食品计算计算 食品计算食品图像细分 食品图像细分

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Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
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Last Updated: Feb 14, 2026

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  • 在UEC-FoodPIX完整基准上实现了76.16%的mIoU.
  • 在标准食品细分数据集上表现优于现有的最先进方法.
  • 结论:

    • HDF框架有效地解决了细粒度食品图像细分方面的挑战.
    • 混合设计和并发模块显著提高了细分精度.
    • HDF为饮食记录,营养估计和食品安全中的应用提供了坚实的基础.