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Article: Editorial: Tumor metabolism and programmed cell death.

Pu, Dan-Lan / Wu, Qi-Nan

2024 Volume 15, Page(s) 1368737

MeSH term(s)	Humans ; Neoplasms ; Apoptosis
Language	English
Publishing date	2024-01-25
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2592084-4
ISSN	1664-2392
ISSN	1664-2392
DOI	10.3389/fendo.2024.1368737
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Numerical study of critical straight, frown, and chevron incisions in small incision cataract surgery.

Han, Yang / Qi, Nan

Frontiers in bioengineering and biotechnology

2023 Volume 11, Page(s) 1283293

Abstract: Introduction: ...

Abstract	Introduction:
Language	English
Publishing date	2023-10-20
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2719493-0
ISSN	2296-4185
ISSN	2296-4185
DOI	10.3389/fbioe.2023.1283293
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Article ; Online: Seizure prediction based on improved vision transformer model for EEG channel optimization.

Qi, Nan / Piao, Yan / Zhang, Hao / Wang, Qi / Wang, Yue

Computer methods in biomechanics and biomedical engineering

2024 , Page(s) 1–12

Abstract: Epileptic seizures are unpredictable events caused by abnormal discharges of a patient's brain cells. Extensive research has been conducted to develop seizure prediction algorithms based on long-term continuous electroencephalogram (EEG) signals. This ... ...

Abstract	Epileptic seizures are unpredictable events caused by abnormal discharges of a patient's brain cells. Extensive research has been conducted to develop seizure prediction algorithms based on long-term continuous electroencephalogram (EEG) signals. This paper describes a patient-specific seizure prediction method that can serve as a basis for the design of lightweight, wearable and effective seizure-prediction devices. We aim to achieve two objectives using this method. The first aim is to extract robust feature representations from multichannel EEG signals, and the second aim is to reduce the number of channels used for prediction by selecting an optimal set of channels from multichannel EEG signals while ensuring good prediction performance. We design a seizure-prediction algorithm based on a vision transformer (ViT) model. The algorithm selects channels that play a key role in seizure prediction from 22 channels of EEG signals. First, we perform a time-frequency analysis of processed time-series signals to obtain EEG spectrograms. We then segment the spectrograms of multiple channels into many non-overlapping patches of the same size, which are input into the channel selection layer of the proposed model, named Sel-JPM-ViT, enabling it to select channels. Application of the Sel-JPM-ViT model to the Boston Children's Hospital-Massachusetts Institute of Technology scalp EEG dataset yields results using only three to six channels of EEG signals that are slightly better that the results obtained using 22 channels of EEG signals. Overall, the Sel-JPM-ViT model exhibits an average classification accuracy of 93.65%, an average sensitivity of 94.70% and an average specificity of 92.78%.
Language	English
Publishing date	2024-03-06
Publishing country	England
Document type	Journal Article
ZDB-ID	2071764-7
ISSN	1476-8259 ; 1025-5842
ISSN (online)	1476-8259
ISSN	1025-5842
DOI	10.1080/10255842.2024.2326097
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Article ; Online: Predicting epileptic seizures based on EEG signals using spatial depth features of a 3D-2D hybrid CNN.

Qi, Nan / Piao, Yan / Yu, Peng / Tan, Baolin

Medical & biological engineering & computing

2023 Volume 61, Issue 7, Page(s) 1845–1856

Abstract: Epilepsy is a recurrent chronic brain disease that affects nearly 75 million people around the world. Therefore, the ability to reliably predict epileptic seizures would be instrumental for implementing interventions to reduce brain injury and improve ... ...

Abstract	Epilepsy is a recurrent chronic brain disease that affects nearly 75 million people around the world. Therefore, the ability to reliably predict epileptic seizures would be instrumental for implementing interventions to reduce brain injury and improve patients' quality of life. In addition to classical machine learning algorithms and feature engineering methods, the use of electroencephalography (EEG) to predict seizures has gradually become a mainstream trend. Here, we propose a patient-specific method to predict epileptic seizures based on EEG data acquired using spatial depth features of a three-dimensional-two-dimensional hybrid convolutional neural network (3D-2D HyCNN) model. This method facilitates the acquisition of abundant and reliable deep features from multi-channel EEG signals. We first developed a reliable data preprocessing method to reconstruct time-series EEG signals into 3D feature images. Then, the 3D-2D HyCNN model was used to extract correlation features between multiple channels of EEG signals, which are automatically exploited by the network to improve seizure prediction. The method achieved accuracy of 98.43% and 93.11%, sensitivity of 98.58% and 90.98%, and specificity of 96.86% and 92.39% on the CHB-MIT Scalp EEG dataset and the American Epilepsy Society Epilepsy Prediction Challenge dataset, respectively. The results revealed that the new algorithm is reliable. Graphical Abstract A new patient-specific epilepsy prediction approach.
MeSH term(s)	Humans ; Quality of Life ; Seizures/diagnosis ; Epilepsy/diagnosis ; Neural Networks, Computer ; Algorithms ; Electroencephalography/methods
Language	English
Publishing date	2023-03-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	282327-5
ISSN	1741-0444 ; 0025-696X ; 0140-0118
ISSN (online)	1741-0444
ISSN	0025-696X ; 0140-0118
DOI	10.1007/s11517-023-02792-4
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Article ; Online: Autophagic dysfunction of β cell dysfunction in type 2 diabetes, a double-edged sword.

Yao, Ding / GangYi, Yang / QiNan, Wu

Genes & diseases

2020 Volume 8, Issue 4, Page(s) 438–447

Abstract: Diabetes is an age-related disease, most of which is type 2 diabetes, and islet β cell dysfunction and insulin resistance are the main mechanisms of type 2 diabetes. Recent studies have revealed that autophagy plays an important role in maintaining the ... ...

Abstract	Diabetes is an age-related disease, most of which is type 2 diabetes, and islet β cell dysfunction and insulin resistance are the main mechanisms of type 2 diabetes. Recent studies have revealed that autophagy plays an important role in maintaining the structure and function of islet beta cells and inhibiting insulin resistance and apoptosis induced by oxidative stress. In this review, we discussed the positive and negative effects of autophagy and its dysfunction on type 2 diabetes mellitus, which is the so-called double-edged sword, analysed its possible mechanism, and identified possible research hot spots.
Language	English
Publishing date	2020-03-19
Publishing country	China
Document type	Journal Article ; Review
ZDB-ID	2821806-1
ISSN	2352-3042 ; 2352-3042
ISSN (online)	2352-3042
ISSN	2352-3042
DOI	10.1016/j.gendis.2020.03.003
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Article ; Online: Rhodium(I)-Catalyzed Annulation of Bicyclo[1.1.0]butyl-Substituted Dihydroquinolines and Dihydropyridines.

Borgini, Matteo / Huang, Qi-Nan / Chen, Pan-Pan / Geib, Steven J / Houk, K N / Wipf, Peter

Journal of the American Chemical Society

2024

Abstract: Bicyclo[1.1.0]butane-containing compounds feature a unique chemical reactivity, trigger "strain-release" reaction cascades, and provide novel scaffolds with considerable utility in the drug discovery field. We report the synthesis of new bicyclo[1.1.0] ... ...

Abstract	Bicyclo[1.1.0]butane-containing compounds feature a unique chemical reactivity, trigger "strain-release" reaction cascades, and provide novel scaffolds with considerable utility in the drug discovery field. We report the synthesis of new bicyclo[1.1.0]butane-linked heterocycles by a nucleophilic addition of bicyclo[1.1.0]butyl anions to 8-isocyanatoquinoline, or, alternatively, iminium cations derived from quinolines and pyridines. The resulting bicyclo[1.1.0]butanes are converted with high regioselectivity to unprecedented bridged heterocycles in a rhodium(I)-catalyzed annulative rearrangement. The addition/rearrangement process tolerates a surprisingly large range of functional groups. Subsequent chemo- and stereoselective synthetic transformations of urea, alkene, cyclopropane, and aniline moieties of the 1-methylene-5-azacyclopropa[
Language	English
Publishing date	2024-05-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	3155-0
ISSN	1520-5126 ; 0002-7863
ISSN (online)	1520-5126
ISSN	0002-7863
DOI	10.1021/jacs.4c04081
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Article ; Online: Autophagic dysfunction of β cell dysfunction in type 2 diabetes, a double-edged sword

Ding Yao / Yang GangYi / Wu QiNan

Genes and Diseases, Vol 8, Iss 4, Pp 438-

2021 Volume 447

Abstract	Diabetes is an age-related disease, most of which is type 2 diabetes, and islet β cell dysfunction and insulin resistance are the main mechanisms of type 2 diabetes. Recent studies have revealed that autophagy plays an important role in maintaining the structure and function of islet beta cells and inhibiting insulin resistance and apoptosis induced by oxidative stress. In this review, we discussed the positive and negative effects of autophagy and its dysfunction on type 2 diabetes mellitus, which is the so-called double-edged sword, analysed its possible mechanism, and identified possible research hot spots.
Keywords	Apoptosis ; Autophagic dysfunction ; Insulin resistance ; Islet beta cell dysfunction ; Type 2 diabetes mellitus ; Medicine (General) ; R5-920 ; Genetics ; QH426-470
Language	English
Publishing date	2021-07-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
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Article ; Online: Study on Collection Performance of Hydraulic Polymetallic Nodule Collector Based on Solid–Liquid Two-Phase Flow Numerical Simulation

Pin-Jian Wang / Li Li / Qi-Nan Wei / Jia-Bin Wu

Applied Sciences, Vol 13, Iss 23, p

2023 Volume 12729

Abstract: The hydraulic collector is an important device for collecting seafloor polymetallic nodules. In this study, a hydraulic polymetallic nodule collector with two acquisition nozzles and one transmission nozzle is described. The numerical model of the ... ...

Abstract	The hydraulic collector is an important device for collecting seafloor polymetallic nodules. In this study, a hydraulic polymetallic nodule collector with two acquisition nozzles and one transmission nozzle is described. The numerical model of the hydraulic collector is established based on the solid–liquid two-phase flow method, and it is verified by experimental tests. On this basis, the collection mechanism of the hydraulic collector is analyzed, and the effects of structural parameters and working parameters on its collection performance are explored. The results show that the collection height and slant angle of the acquisition nozzle are key factors for collection efficiency, with optimal heights below 150 mm and angles between 45 and 49 <semantics> ∘ </semantics> . The recommended range for the center distance between the two acquisition confluence tubes is 650–730 mm. Excessive acquisition and transmission flow rates make a negligible contribution to improving the collection efficiency, but can also cause a significant increase in energy consumption. Therefore, the recommended ranges for acquisition and transmission flow rates are 140–160 m <semantics> 3 </semantics> /h and less than 80 m <semantics> 3 </semantics> /h, respectively. All of the results indicated that the parameters of the developed hydraulic collector were set reasonably, which thus ensured a balance between the collection efficiency and energy consumption.
Keywords	polymetallic nodule ; solid–liquid two-phase flow ; hydraulic collector ; collection efficiency ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	670
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Characterizing key aroma‐active compounds of stewed mutton using gas chromatography‐olfactometry‐mass spectrometry coupled with odour activity value

Qi, Nan / Liu, Ruijia / Sun, Jie / Chen, Haitao / Zhang, Ning

Flavour and Fragrance Journal. 2023 July, v. 38, no. 4 p.263-273

2023

Abstract: Stewed mutton is popular for its nutritional and special flavour qualities. To determine the key aroma‐active compounds of stewed mutton in different parts, six experimental groups (sheep fat, sheep bone, sheep brisket, sheep loin, sheep rib and sheep ... ...

Abstract	Stewed mutton is popular for its nutritional and special flavour qualities. To determine the key aroma‐active compounds of stewed mutton in different parts, six experimental groups (sheep fat, sheep bone, sheep brisket, sheep loin, sheep rib and sheep leg) were investigated by gas chromatography‐olfactometry‐mass spectrometry (GC‐O‐MS). Totally, 57 volatile compounds in mutton soup were identified. Of these, 22 aroma‐active compounds were identified as key aroma compounds with odour activity values (OAVs) >1. The partial least squares regression (PLSR) results indicated that sheep fat (SF) was greatly related to most variables of sensory attributes, thus presented richer aroma. Among all samples, 3‐hydroxy‐2‐butanone and (E)‐2‐nonenal were the major aromatic compounds they shared. There were 22 unique key aromatic compounds, including 3‐methylthiopropana, (E)‐2‐decenal, γ‐decalactone, (E)‐2‐octenal and hydroxyacetone, and the differences in these compounds contributed to the flavour profiles of mutton soup. Our research extends the knowledge into the flavour characteristics of different parts of mutton and provides powerful information for improving the flavour of mutton products.
Keywords	flavor ; mutton ; odors ; sheep ; soups ; spectroscopy
Language	English
Dates of publication	2023-07
Size	p. 263-273.
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	54356-1
ISSN	0882-5734
ISSN	0882-5734
DOI	10.1002/ffj.3745
Database	NAL-Catalogue (AGRICOLA)

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Article: [Identification and analysis of terpene synthase (TPS) gene family in Schizonepeta tenuifolia].

Jia, Cong-Ling / Shu, Juan / Dang, Jing-Jie / Wang, Xue / Wu, Qi-Nan / Liu, Chan-Chan

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica

2023 Volume 48, Issue 22, Page(s) 6039–6050

Abstract: Terpenoids are important secondary metabolites of plants that possess both pharmacological activity and economic value. Terpene synthases(TPSs) are key enzymes in the synthesis process of terpenoids. In order to investigate the TPS gene family members ... ...

Abstract	Terpenoids are important secondary metabolites of plants that possess both pharmacological activity and economic value. Terpene synthases(TPSs) are key enzymes in the synthesis process of terpenoids. In order to investigate the TPS gene family members and their potential functions in Schizonepeta tenuifolia, this study conducted a systematic analysis of the TPS gene family of S. tenuifolia based on the whole genome data of S. tenuifolia using bioinformatics methods. The results revealed 57 StTPS members identified from the genome database of S. tenuifolia. The StTPS family members encoded 285-819 amino acids, with protein molecular weights ranging from 32.75 to 94.11 kDa, all of which were hydrophilic proteins. The StTPS family members were mainly distributed in the cytoplasm and chloroplasts, exhibiting a random and uneven physical localization pattern. Phylogenetic analysis showed that the StTPS genes family were divided into six subgroups, mainly belonging to the TPS-a and TPS-b subfamilies. Promoter analysis predicted that the TPS gene family members could respond to various stressors such as light, abscisic acid, and methyl jasmonate(MeJA). Transcriptome data analysis revealed that most of the TPS genes were expressed in the roots of S. tenuifolia, and qRT-PCR analysis was conducted on genes with high expression in leaves and low expression in roots. Through the analysis of the TPS gene family of S. tenuifolia, this study identified StTPS5, StTPS18, StTPS32, and StTPS45 as potential genes involved in sesquiterpene synthesis of S. tenuifolia. StTPS45 was cloned for the construction of an prokaryotic expression vector, providing a reference for further investigation of the function and role of the TPS gene family in sesquiterpene synthesis.
MeSH term(s)	Phylogeny ; Terpenes/metabolism ; Plant Proteins/genetics ; Plant Proteins/metabolism ; Lamiaceae/genetics ; Sesquiterpenes
Chemical Substances	terpene synthase (EC 2.5.1.-) ; Terpenes ; Plant Proteins ; Sesquiterpenes
Language	Chinese
Publishing date	2023-12-19
Publishing country	China
Document type	English Abstract ; Journal Article
ZDB-ID	1004649-5
ISSN	1001-5302 ; 0254-0029
ISSN	1001-5302 ; 0254-0029
DOI	10.19540/j.cnki.cjcmm.20230712.101
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