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関連する概念動画

Time-Series Graph00:54

Time-Series Graph

5.2K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

711
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
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Masking and Demasking Agents01:19

Masking and Demasking Agents

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EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
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Administering Oxygen by Mask01:30

Administering Oxygen by Mask

2.5K
Administering Oxygen by Mask
Administering oxygen by mask is a common nursing intervention that provides supplemental oxygen to patients with respiratory distress or chronic lung conditions. This procedure involves delivering oxygen at a specified rate through a face mask connected to an oxygen source.
Equipment
The equipment necessary for this procedure includes:
2.5K
ECG Interpretation of Rhythms01:24

ECG Interpretation of Rhythms

14.1K
An electrocardiogram (ECG)graphically represents the heart's electrical activity on ECG paper or a monitor.
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....
14.1K
Resistors In Series01:10

Resistors In Series

6.6K
A resistor is an ohmic device that limits the flow of charge in a circuit. Most circuits have more than one resistor. If several resistors are connected together and connected to a battery, the current supplied by the battery depends on the equivalent resistance of the circuit. The equivalent resistance of a combination of resistors depends on both their individual values and how they are connected. The simplest combination of resistors is the series combination. 
In a series circuit, the...
6.6K

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関連する実験動画

Updated: Feb 7, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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時系列ECG補間のためのパターンベースマスキングフレームワークの使用

Sukardi Suba, Alexander Novak, Xiaojuan Xia

    medRxiv : the preprint server for health sciences
    |February 6, 2026
    PubMed
    まとめ
    この要約は機械生成です。

    この研究では、心電図(ECG)時系列におけるパターンベースの欠損データは、ランダムな欠損データよりも補間モデルにとってより困難であることがわかりました。自己注意ベースの時系列補間(SAITS)モデルが全体的に最良のパフォーマンスを示しました。

    キーワード:
    心電図時系列補間欠損データパターンベースマスキングランダムマスキングSAITS

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