Application of Angelica Sinensis in Gynecological Diseases DOI

Feng Pei,

Yunliang Zang,

Pronaya Bhattacharya

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 168

Published: June 7, 2024

Angelica sinensis is an herbal medicine commonly used for gynecological diseases in traditional Chinese medicine. This chapter aims to systematically review the prescriptions ancient classics and analyze compatibility of with other medicines, categorize treatment, understand applicability from a clinical view. The recorded Shennong Bencao Jing Jingyue Quanshu that are related were summarized, characteristics analyzed. According classification medicine, such as breast disease, offspring, meridians, postpartum, role was analyzed based on properties, tastes, channel distribution. processing methods recent development biochemical approaches extracting active ingredients also briefly reviewed. provides comprehensive reference practitioners, researchers, biomedical engineers.

Language: Английский

Multi-spectra combined with Bayesian optimized machine learning algorithms for rapid and non-destructive detection of adulterated functional food Panax notoginseng powder DOI

Huanhuan Guan,

Zhi‐Tong Zhang,

Lei Bai

et al.

Journal of Food Composition and Analysis, Journal Year: 2024, Volume and Issue: 133, P. 106412 - 106412

Published: June 7, 2024

Language: Английский

Citations

5
Research on millet origin identification model based on improved parrot optimizer optimized regularized extreme learning machine DOI
Peng Gao, Na Wang, Yang Lü

et al.

Journal of Food Composition and Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 107354 - 107354

Published: Feb. 1, 2025

Language: Английский

Citations

0
Online detection of Q-marker concentrations in the Xuefu Zhuyu oral liquid extraction process using a multi-source cross-scale NIR attention fusion neural network DOI
D Liu, Lele Gao, Zihao Cui

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: 339, P. 126293 - 126293

Published: April 24, 2025

Language: Английский

Citations

0
Spectroscopic techniques combined with DD-SIMCA model and explainable artificial intelligence for rapidly and accurately identifying the quality of Astragali Radix DOI Creative Commons

Lei Bai,

Zhi‐Tong Zhang,

Dongping Yuan

et al.

Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 231, P. 121140 - 121140

Published: May 9, 2025

Language: Английский

Citations

0
Accurate and intelligent quantification of adulterated Angelicae Sinensis Radix by a novel ensemble method with near-infrared spectroscopy DOI
Xihui Bian, Yuxia Liu, Jiaqi Xie

et al.

Journal of Applied Research on Medicinal and Aromatic Plants, Journal Year: 2025, Volume and Issue: unknown, P. 100640 - 100640

Published: May 1, 2025

Language: Английский

Citations

0
Rapid Identification of Continuous Asexual Reproduction of Gastrodia elata Blume Using Near-Infrared Spectroscopy (NIRS) and Neural Network Algorithms DOI
Tuo Guo, Qin Li, Xiangyu Zhang

et al.

Analytical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: May 19, 2025

Language: Английский

Citations

0
Estimation of lithium battery state of charge using the LTG-SABO-GRU model DOI
Yanjun Xiao,

Weihan Song,

Weiling Liu

et al.

Measurement Science and Technology, Journal Year: 2024, Volume and Issue: 35(11), P. 115106 - 115106

Published: July 31, 2024

Abstract Accurate estimation of the state charge (SOC) in lithium batteries is crucial for optimizing energy utilization and ensuring battery safety within management systems (BMSs). While deep learning techniques have made significant progress, time-series models based on gate recurrent unit (GRU) gained widespread application SOC estimation. However, their performance heavily hinges initial hyperparameter settings, impacting both precision range. To address this challenge, we propose a novel algorithm—the logistic-tent-gold subtraction average-based optimizer (LTG-SABO)—which combines composite chaotic mapping with golden sine algorithm. The LTG-SABO algorithm aims to optimize key hyperparameters GRU model, thereby enhancing robustness By leveraging Logistic-tent population initialization, our approach not only expands search space but also effectively prevents convergence local optima. Additionally, integrating Gold-SA strategy further enhances global capability SABO algorithm, significantly reducing time. computational results reveal that proposed LTG-SABO-GRU model outperforms traditional estimating under normal extreme temperature conditions. Specifically, root mean square error absolute show substantial improvement, increasing by over 50% compared model. Moreover, exhibits fewer iterations than existing typical optimization algorithms. This study introduces novel, efficient, practical BMS applications.

Language: Английский

Citations

1
Deep Learning for Accurate Diagnosis of Benign Paroxysmal Positional Vertigo DOI

Jiaoxuan Dong,

Ling Li, Ivan Milanov

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 143 - 152

Published: June 7, 2024

Benign paroxysmal positional vertigo (BPPV) is characterized by paroxysms of and nystagmus triggered head position changes. The diagnosis BPPV can be objectively determined through the objective analysis nystagmus, making it a promising approach towards artificial intelligence (AI) -assisted diagnosis. diagnostic criteria for have been clearly defined, standardized protocols data collection established. Video-oculography utilizing infrared cameras has employed quantification nystagmus. These used to train AI algorithms. Utilizing deep learning models allows accurate tracking pupil movement trajectories, facilitating identification types, automated possible. This chapter summarizes recent advances in AI-assisted discusses limitations challenges clinical practice.

Language: Английский

Citations

1
Rapid Detection of Stabilizer Content in Double‐Base Propellant Based on Artificial Neural Network Combined With Near‐Infrared Spectroscopy DOI
Dihua Ouyang,

Tianyu Cui,

Qiantao Zhang

et al.

Journal of Chemometrics, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 17, 2024

ABSTRACT During long‐term storage, double‐base propellants are prone to chemical decomposition of internal nitrate esters, leading decreased burn rate, reduced strength, and degraded ballistic performance. Adding an appropriate amount Centralite‐II is crucial for ensuring storage safety. This study proposes a novel method combining near‐infrared spectroscopy (NIRS) with artificial intelligence rapidly non‐destructively detect the content in propellants. The optimal modeling wavelength ranges 4000–4600 cm −1 5700–6100 were identified, raw spectral data preprocessed using standard normal variate (SNV) transformation improve signal‐to‐noise ratio. Principal component analysis (PCA) was then applied reduce dimensionality, first three principal components used as inputs backpropagation (BP‐ANN) neural network. resulting PCA‐BP‐ANN model showed excellent performance on training set, 0.9830 0.0376%. independent validation, demonstrated strong generalization ability, achieving 0.9824 0.3179%, comparative other models, including BP, PLS, ELM, SVR, LSTM, indicated that exhibited superior prediction accuracy capability. provides rapid non‐destructive approach assessing stabilizer expands application NIRS AI techniques field energetic materials.

Language: Английский

Citations

1
Application of Angelica Sinensis in Gynecological Diseases DOI

Feng Pei,

Yunliang Zang,

Pronaya Bhattacharya

et al.

Advances in medical technologies and clinical practice book series, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 168

Published: June 7, 2024

Angelica sinensis is an herbal medicine commonly used for gynecological diseases in traditional Chinese medicine. This chapter aims to systematically review the prescriptions ancient classics and analyze compatibility of with other medicines, categorize treatment, understand applicability from a clinical view. The recorded Shennong Bencao Jing Jingyue Quanshu that are related were summarized, characteristics analyzed. According classification medicine, such as breast disease, offspring, meridians, postpartum, role was analyzed based on properties, tastes, channel distribution. processing methods recent development biochemical approaches extracting active ingredients also briefly reviewed. provides comprehensive reference practitioners, researchers, biomedical engineers.

Language: Английский

Citations

0