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相关概念视频

Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

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In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
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Isochoric and Isobaric Processes01:21

Isochoric and Isobaric Processes

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A thermodynamic process that occurs at constant volume is called an isochoric process. According to the first law of thermodynamics, heat supplied or removed from the system is partially utilized to perform work and change the internal energy of the system. However, in an isochoric process, the volume remains constant. Hence, the work done by the system is zero. Therefore, the exchange of heat changes the internal energy of the system only. 
Suppose 1000 g of water is heated from 40...
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Precipitation Processes01:12

Precipitation Processes

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The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
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Cyclic Processes And Isolated Systems01:19

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A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
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Reversible and Irreversible Processes01:14

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The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
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Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
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相关实验视频

Updated: Sep 18, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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粗粒的加工过程

Shinsuke Koyama1

  • 1Department of Interdisciplinary Statistical Mathematics, The Institute of Statistical Mathematics, Tokyo 190-8562, Japan.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种粗的霍克斯过程模型,用于分析聚合事件数据. 该模型准确地捕捉统计特征,并有效地从内置观察中推断出基础过程.

关键词:
霍克斯过程是霍克斯过程.汇总的数据是汇总的数据.粗粒度建模粗粒度建模计算时间序列时间序列.

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相关实验视频

Last Updated: Sep 18, 2025

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An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
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科学领域:

  • 统计 统计 统计 统计
  • 数据分析 数据分析
  • 时间序列分析时间序列分析

背景情况:

  • 由于测量限制,现实世界的事件数据分析通常涉及聚合计数,而不是精确的时间.
  • 多变量霍克斯过程对于建模自我激发事件数据至关重要.

研究的目的:

  • 为多变量霍克斯过程的聚合事件数据提出一个建模框架.
  • 开发一种有效的方法来从二元计算数据中推断潜在的霍克斯过程.

主要方法:

  • 开发粗粒型霍克斯工艺模型.
  • 捕获二级统计特征的Hawkes过程数据.
  • 从二次计数观测中推断霍克斯过程参数.

主要成果:

  • 粗的霍克斯过程模型有效地表示聚合事件数据.
  • 拟议的推断方法的性能与现有技术相提并论,甚至比现有技术更好.
  • 该方法在参数估计中保持了计算效率.

结论:

  • 粗的霍克斯过程为分析封装事件数据提供了一个强大的框架.
  • 开发的推理方法为霍克斯过程建模提供了高效和有效的解决方案.
  • 这种方法解决了现实世界事件数据分析的实际局限性.