Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Dimensional Analysis03:40

Dimensional Analysis

65.0K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
65.0K
Dimensional Analysis01:27

Dimensional Analysis

682
Dimensional analysis is a valuable technique in fluid mechanics for simplifying complex problems by reducing them into dimensionless groups. These groups capture the essential relationships between the variables involved, allowing researchers and engineers to analyze fluid flow without dealing with each variable individually. This approach reduces the number of independent variables, allowing for easier analysis and better understanding of physical phenomena.
In fluid mechanics, dimensional...
682
Pedigree Analysis01:35

Pedigree Analysis

89.7K
Overview
89.7K
Qualitative Analysis03:46

Qualitative Analysis

24.6K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
24.6K
Performing a Simple Data Analysis using MS-Excel Function01:17

Performing a Simple Data Analysis using MS-Excel Function

1.1K
Microsoft Excel offers a suite of functions and tools ideal for statistical analysis, making it accessible to students and researchers. This article outlines fundamental Excel functions pivotal for data analysis.
SUM: This function calculates the total sum of a range of values. It's the foundation for aggregating data, essential for determining overall trends and totals in datasets.
AVERAGE: It computes the mean value of a given set of numbers, providing a quick insight into the central...
1.1K
Epistasis Analysis01:09

Epistasis Analysis

5.8K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
5.8K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Similar eye movements in aphantasia and visualizers during mental map exploration.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

Diagnostic delay and onset-anchored clinical milestones in progressive supranuclear palsy: a japanese single-center retrospective cohort study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

Disrupted integration-segregation balance in the intact hemisphere in chronic spatial neglect.

Brain structure & function·2026
Same author

Early respiratory decline around diagnosis and short-term post-landmark outcomes in amyotrophic lateral sclerosis: a 6-month landmark cohort study.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·2026
Same author

Anchoring-group-controlled self-assembly and charge transport in antiaromatic molecular systems.

Nanoscale·2026
Same author

Near the self-other discrimination threshold, experience of goal-oriented movement increases the sensitivity of the sense of agency.

Acta psychologica·2026

関連する実験動画

Updated: Feb 9, 2026

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

2.9K

脳卒中後の体幹機能評価の統合的構造解析：マルチスケール因子分析とラスク分析に基づく新しい評価モデル

Yuki Tagami1, Shintaro Fujii2, Yasuhiro Inui2

  • 1Department of Neurorehabilitation, Graduate School of Health Sciences, Kio University, Nara, Japan; Department of Rehabilitation, Tokushima Red Cross Hospital, Tokushima, Japan.

Archives of physical medicine and rehabilitation
|February 7, 2026
PubMed
まとめ

本研究は、脳卒中後の体幹機能の階層構造を、静的運動から動的運動へと進行する形で明らかにしました。本研究の結果は、脳卒中生存者の評価および個別化された理学療法の改善のための枠組みを提供します。

キーワード:
探索的因子分析急性期脳卒中患者ラスク分析体幹機能

さらに関連する動画

3D Kinematic Analysis for the Functional Evaluation in the Rat Model of Sciatic Nerve Crush Injury
08:20

3D Kinematic Analysis for the Functional Evaluation in the Rat Model of Sciatic Nerve Crush Injury

Published on: February 12, 2020

9.4K
Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.2K

関連する実験動画

Last Updated: Feb 9, 2026

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients
05:23

Motor Dual-Tasks for Gait Analysis and Evaluation in Post-Stroke Patients

Published on: March 11, 2021

2.9K
3D Kinematic Analysis for the Functional Evaluation in the Rat Model of Sciatic Nerve Crush Injury
08:20

3D Kinematic Analysis for the Functional Evaluation in the Rat Model of Sciatic Nerve Crush Injury

Published on: February 12, 2020

9.4K
Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.2K

科学分野:

  • 神経学
  • リハビリテーション科学
  • 生体医工学

背景:

  • 体幹機能は、脳卒中後の移動および自立にとって重要です。
  • 既存の評価では、体幹制御の複雑さを完全には捉えきれない場合があります。
  • 効果的なリハビリテーションのためには、体幹機能の構成要素の構造化された理解が必要です。

研究 の 目的:

  • 複数の評価を用いて体幹機能の構成要素を調査すること。
  • 脳卒中後の体幹機能の新しい評価モデルを構築すること。
  • 体幹機能の因子構造と階層的組織を明らかにすること。

主な方法:

  • 早期発症脳卒中患者200名を対象とした前向き観察コホート研究。
  • VerheydenおよびFujiwaraの体幹機能障害尺度（TIS-VおよびTIS-F）、体幹機能制御評価（FACT）、および体幹機能テスト（TCT）を利用しました。
  • 機能的因子とその階層を特定するために、探索的因子分析（EFA）およびラスク分析を採用しました。

主要な成果:

  • EFAは、静的座位、基本動作、および2つの動的座位課題カテゴリー（より挑戦的、より挑戦的でない）の4つの機能的因子を特定しました。
  • ラスク分析は単次元性を確認し、体幹機能回復の階層的パターンを明らかにしました。
  • 体幹機能回復は、静的制御から複雑な動的運動へと進行します。

結論:

  • 本研究は、脳卒中後の体幹機能の因子構造と階層的組織を明らかにした最初の研究です。
  • 評価ツールの再編成と個別化された理学療法の強化のための枠組みを提供します。
  • 臨床的有用性を向上させるための短縮版に関するさらなる研究を示唆しています。