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Article ; Online: A multi-scale convolutional neural network-based model for clustering economic risk detection.

Zhao, Yi

PeerJ. Computer science

2023 Volume 9, Page(s) e1404

Abstract: After the public health event of COVID-19, more academics are looking into how to predict combined economic hazards associated with public health incidents. There are currently just a few approaches for detecting aberrant behaviour in aggregated ... ...

Abstract	After the public health event of COVID-19, more academics are looking into how to predict combined economic hazards associated with public health incidents. There are currently just a few approaches for detecting aberrant behaviour in aggregated financial risk, and most only work after the economic risk has already been inappropriately aggregated. As a result, we provide a multi-scale convolutional neural network-based model for clustering financial risk anomaly detection (MCNN). First, we use MCNN to train a model for counting economic risks that are used to evaluate aberrant risk aggregating data. Second, we can use the test results to extract the financial risk statistics and economic risk precursor coordinate points. Then, we calculate the economic risk distribution entropy, distance, potential energy and density. To train the three elements of the development state and create the prediction model, we finally use the particle swarm optimization-based extreme learning machine (PSO-ELM). The results of the experiments demonstrate that, in comparison to existing algorithms, our model can efficiently realize early warning and detect abnormal behaviours of aggregated economic risks with high timeliness. Additionally, our method achieves a forecast accuracy of 97.68% and can give additional time to take emergency action.
Language	English
Publishing date	2023-06-16
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1404
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Article ; Online: Design of a corporate financial crisis prediction model based on improved ABC-RNN+Bi-LSTM algorithm in the context of sustainable development.

Zhao, Yi

PeerJ. Computer science

2023 Volume 9, Page(s) e1287

Abstract: In the context of sustainable economic development, while economic globalization brings new vitality to the company, it also makes the company face an increasingly severe external environment. The managers have to shift their focus to capital market ... ...

Abstract	In the context of sustainable economic development, while economic globalization brings new vitality to the company, it also makes the company face an increasingly severe external environment. The managers have to shift their focus to capital market investment. The excessive pursuit of investment benefits can easily lead to decision-making errors, resulting in a financial crisis for the company, and even may be forced to delist in severe cases. This article proposes a financial crisis prediction model based on Artificial Bee Colony-recurrent neural network (ABC-RNN) and bidirectional long short-term memory (Bi-LSTM) company with a characteristic attention mechanism. We combined ABC-RNN with Bi-LSTM to extract more temporal feature vectors from financial data. Then we introduced a feature attention mechanism to extract better depth features from financial data; the ABC algorithm is introduced to optimize the weight and bias of RNN to improve the reasoning speed and accuracy. The experiment shows that the prediction accuracy and recall of the model on the test set have reached 88.94% and 88.23%, respectively, which has good prediction ability. The outcome of this research helps the company to prevent and deal with the financial crisis in time and promote the sustainable development of the market economy.
Language	English
Publishing date	2023-04-26
Publishing country	United States
Document type	Journal Article
ISSN	2376-5992
ISSN (online)	2376-5992
DOI	10.7717/peerj-cs.1287
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Article ; Online: Pre-treatment [

Chen, Jing / Zhao, Yi

Hematology (Amsterdam, Netherlands)

2024 Volume 29, Issue 1, Page(s) 2325317

Abstract: Purpose: To explore the value of [: Methods: This retrospective study included 201 eligible PTCLs who received pre-bone marrow biopsy (BMB) and PET/CT. The status of bone marrow (BM) by PET was assessed using a visual examination and a quantitative ... ...

Abstract	Purpose: To explore the value of [ Methods: This retrospective study included 201 eligible PTCLs who received pre-bone marrow biopsy (BMB) and PET/CT. The status of bone marrow (BM) by PET was assessed using a visual examination and a quantitative index (the maximal standardized uptake value [SUV Results: Totally 148 patients had no evidence of BMI by PET or BMB; BMI was detected by both methods in 16 patients. The sensitivity and specificity of PET/CT for patients with confirmed BMI by BMB were 43.2% and 90.2%, respectively (κ = 0.353). In addition, 25 patients assessed by PET/CT staging (having stage I to II disease) had no evidence of BMI detected by both PET/CT and BMB. Image-guided biopsy was also recommended when PET/CT showed a focal FDG uptake outside the iliac crest. Survival analysis revealed that BMB was significant for overall survival (OS) ( Conclusion: PET/CT has a complementary role in assessing BMI and an ability to predict prognosis in PTCL patients.
MeSH term(s)	Humans ; Positron Emission Tomography Computed Tomography/methods ; Fluorodeoxyglucose F18 ; Bone Marrow/diagnostic imaging ; Bone Marrow/pathology ; Lymphoma, T-Cell, Peripheral/diagnostic imaging ; Lymphoma, T-Cell, Peripheral/therapy ; Retrospective Studies ; Prognosis ; Biopsy ; Positron-Emission Tomography/methods
Chemical Substances	Fluorodeoxyglucose F18 (0Z5B2CJX4D)
Language	English
Publishing date	2024-03-11
Publishing country	England
Document type	Journal Article
ZDB-ID	1341428-8
ISSN	1607-8454 ; 1024-5332 ; 1024-5340
ISSN (online)	1607-8454
ISSN	1024-5332 ; 1024-5340
DOI	10.1080/16078454.2024.2325317
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Article ; Online: Comparative analysis of low-dose bupivacaine and ropivacaine combined with spinal-epidural anesthesia in cesarean sections for pregnant women with coexisting mental illness.

Mi, Qiurong / Zhao, Yi

The International journal of neuroscience

2024 , Page(s) 1–7

Abstract: Objective: To analyze the application effects of low-dose bupivacaine and ropivacaine combined with epidural anesthesia.: Methods: The primary outcome measure was the anesthesia effect, assessed by the excellent anesthesia rate. Secondary outcomes ... ...

Abstract	Objective: To analyze the application effects of low-dose bupivacaine and ropivacaine combined with epidural anesthesia. Methods: The primary outcome measure was the anesthesia effect, assessed by the excellent anesthesia rate. Secondary outcomes included the occurrence of adverse reactions, blood pressure, and serum prolactin levels at different time points. The anesthesia effect, serum prolactin levels, occurrence of adverse reactions, and MAP at various time points [before anesthesia (T0), 5 min after anesthesia (T1), at the start of surgery (T2), at delivery of the fetus (T3), and at closure of the abdomen (T4)] were compared between the two groups. Results: ① Anesthesia effect: The excellent anesthesia rate was 71.88% in the control group and 93.94% in the observation group, with a significantly higher rate in the observation group than in the control group ( Conclusion: In cesarean sections for pregnant women with coexisting mental illness, low-dose ropivacaine demonstrates significantly better anesthesia efficacy, blood pressure stability, and anesthesia safety compared to low-dose bupivacaine. Both low-dose bupivacaine and ropivacaine result in increased prolactin levels postpartum.
Language	English
Publishing date	2024-04-24
Publishing country	England
Document type	Journal Article
ZDB-ID	3061-2
ISSN	1563-5279 ; 1543-5245 ; 0020-7454
ISSN (online)	1563-5279 ; 1543-5245
ISSN	0020-7454
DOI	10.1080/00207454.2024.2342980
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Zs.A 657: Show issues

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Article: Methods to detect and characterize introgression.

Liu, Ze-Xuan / Zhao, Yi-Qiang

Yi chuan = Hereditas

2023 Volume 45, Issue 2, Page(s) 128–143

Abstract: Introgression, also known as introgressive hybridization, refers to the process that genetic components from the gene pool of one population transfer to the other via constant backcrossing. Introgression is widespread in nature, which plays important ... ...

Abstract	Introgression, also known as introgressive hybridization, refers to the process that genetic components from the gene pool of one population transfer to the other via constant backcrossing. Introgression is widespread in nature, which plays important roles in increasing genetic diversity and improving adaptability to the environment, and in turn, influences the evolutionary progress of animals, plants and humans. Being as an important evolutionary event, researchers pay great attention to the detection of introgression, the introgression direction, the introgression timing, the pattern of introgression and so on. With the rapid development of high-throughput sequencing technologies, methods to detect and characterize introgression based on genome-wide data are continuously developed. In this review, we summarize a series of methods for introgression detection, and introduce the design principles and applications of these methods. We also discuss the maintenance and selection of gene segments after introgression. This review provides a relatively comprehensive reference for the studies on introgression.
MeSH term(s)	Genetic Introgression/genetics ; Humans ; Animals ; Plants/genetics ; High-Throughput Nucleotide Sequencing ; Genome/genetics ; Evolution, Molecular
Language	English
Publishing date	2023-03-16
Publishing country	China
Document type	Review ; Journal Article
ISSN	0253-9772
ISSN	0253-9772
DOI	10.16288/j.yczz.22-394
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Article ; Online: Assessing biomarkers for post-surgical wound healing: A meta-analysis of exosome-based CircRNA in breast cancer recovery.

Zhang, Yunsuo / Tao, Kai / Ding, Lachun / Zhao, Yi

International wound journal

2024 Volume 21, Issue 2, Page(s) e14723

Abstract: To evaluate the diagnostic potential of exosome-based circular RNAs (circRNAs) as biomarkers for wound healing in patients after breast cancer surgery, we conducted a comprehensive meta-analysis of studies that measured exosome-based circRNA levels in ... ...

Abstract	To evaluate the diagnostic potential of exosome-based circular RNAs (circRNAs) as biomarkers for wound healing in patients after breast cancer surgery, we conducted a comprehensive meta-analysis of studies that measured exosome-based circRNA levels in breast cancer patients post-surgery. Data sources included several biomedical databases up to April 2023. Two independent reviewers extracted the data and assessed study quality. Sensitivity, specificity and diagnostic odds ratios were synthesized using random-effects model with subgroup analyses performed based on study characteristics. Seventeen studies met the inclusion criteria, encompassing a total of 1234 patients. The pooled sensitivity and specificity of exosome-based circRNA for detecting wound healing complications were 0.85 (95% CI: 0.77-0.91) and 0.83 (95% CI: 0.78-0.88), respectively. The area under the summary receiver operating characteristic (SROC) curve was 0.90, indicating high diagnostic accuracy. Subgroup analyses revealed that diagnostic performance was consistent across studies of different geographic regions and sample types but indicated potential variability related to patient age and study design. Exosome-based circRNA profiles exhibited the high diagnostic accuracy for monitoring wound healing in breast cancer post-operative care. These findings supported the potential utility of circRNA as non-invasive biomarkers for post-surgical recovery. However, variability among studies suggested the need for standardized protocols in biomarker measurement. Future research should focus on longitudinal studies to validate the prognostic value of these biomarkers and investigate their role in personalized patient management.
MeSH term(s)	Humans ; Female ; RNA, Circular/genetics ; Breast Neoplasms/genetics ; Breast Neoplasms/surgery ; Exosomes/chemistry ; Surgical Wound ; Biomarkers
Chemical Substances	RNA, Circular ; Biomarkers
Language	English
Publishing date	2024-02-19
Publishing country	England
Document type	Meta-Analysis ; Journal Article ; Review
ZDB-ID	2170920-8
ISSN	1742-481X ; 1742-4801
ISSN (online)	1742-481X
ISSN	1742-4801
DOI	10.1111/iwj.14723
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Zs.A 6006: Show issues

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Article ; Online: Surgical failure guided by DISE in patients with obstructive sleep apnea: a systematic review and meta-analysis.

Qi, Yingting / Zhao, Yi / Yan, Yan / Wu, Dawei

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery

2024

Abstract: Objectives: The failure rate and risk factors of upper airway surgery with drug induced sleep endoscopy (DISE) remain unknown in the treatment of obstructive sleep apnea (OSA). This review aims to analyze the failure rate of upper airway surgery with ... ...

Abstract	Objectives: The failure rate and risk factors of upper airway surgery with drug induced sleep endoscopy (DISE) remain unknown in the treatment of obstructive sleep apnea (OSA). This review aims to analyze the failure rate of upper airway surgery with DISE and identify obstruction sites for surgical failure. Methods: A systematic review was conducted using PubMed, Embase, Web of Science, and Google Scholar until May 20th, 2023. We included studies that used DISE to assess obstructive sites before upper airway surgery and reported surgical failure rates and outcomes in patients with OSA. Results: 25 studies with a total of 1522 patients were included in the systematic review and meta-analysis. Upper airway surgery guided by DISE had a relatively low failure rate of 37% (95% CI 0.31-0.44) in the random effects model (I Conclusions: Upper airway surgery guided by DISE in patients with OSA had a low failure rate of 37%. DISE can identify obstruction sites associated with surgical failure and guide single-level and multi-level surgeries.
Language	English
Publishing date	2024-02-07
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	1017359-6
ISSN	1434-4726 ; 0937-4477
ISSN (online)	1434-4726
ISSN	0937-4477
DOI	10.1007/s00405-024-08484-5
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Ul II Zs.50: Show issues

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Article: Metabolic change in monocytes and postoperative morbidity after major abdominal surgery in elderly patients: A prospective cohort study.

Zhao, Yi / Ou, Mengchan / Hao, Xuechao / Zhu, Tao

Heliyon

2024 Volume 10, Issue 7, Page(s) e28137

Abstract: Background: Postoperative complications in aging patients remain a significant cause of increased costs, hospital length of stay, and patient distress. Although alterations in energy metabolism have been closely linked to aging process and surgery, it ... ...

Abstract	Background: Postoperative complications in aging patients remain a significant cause of increased costs, hospital length of stay, and patient distress. Although alterations in energy metabolism have been closely linked to aging process and surgery, it is still unclear whether metabolic changes during surgery is associated with postoperative complications in elderly patients. This study was conducted to investigate whether metabolic changes during surgery predicts postoperative complications in elderly patients. Methods: We conducted a prospective single-center observational cohort study. 244 adults (aged ≥65 years) who were scheduled for elective major non-cardiac surgery were recruited. Blood samples for each patient were taken before and after surgery. All patients were randomly divided into two groups (122 in each group), then oxygen consumption rate (OCR) or extracellular acidification rate (ECAR) was measured on isolated monocytes in each group. Results: 14 of 110 (12.7%) patients went through OCR measurement and 15 of 122 patients (12.3%) went through ECAR measurement experienced moderate to severe complications. Overall, there was an intensification of glycolysis in monocytes after surgery. Among all variables, only the change (preoperative -postoperative) of glycolytic reserve (GR)/glycolysis (G) and GR/non-glycolytic acidification (NG) were predictors of moderate to severe complications (AUC = 0.70; 95% CI, 0.56-0.81; Conclusions: Compared with mitochondria function, the change of glycolytic function in monocyte was more valuable in predicting postoperative complications after major abdominal surgery. Our study gave us a new insight into identifying patients at high risk in aging patients.
Language	English
Publishing date	2024-03-22
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e28137
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Article ; Online: Relationship Between the Parietal Cortex and Task Switching: Transcranial Direct Current Stimulation Combined with an Event-related Potential Study.

Wang, Ziyu / Zhao, Yi / You, Xuqun / Liang, Jimin

Neuroscience

2024 Volume 546, Page(s) 41–52

Abstract: Task switching refers to a set of cognitive processes involved in shifting attention from one task to another. In recent years, researchers have applied transcranial direct current stimulation (tDCS) to investigate the causal relationship between the ... ...

Abstract	Task switching refers to a set of cognitive processes involved in shifting attention from one task to another. In recent years, researchers have applied transcranial direct current stimulation (tDCS) to investigate the causal relationship between the parietal cortex and task switching. However, results from available studies are highly inconsistent. This may be due to the unclear understanding of the underlying mechanisms. Therefore, the current study utilized event-related potential (ERP) analysis to investigate the modulatory effects of tDCS on task-switching processes. Twenty-four subjects were recruited to perform both predictable and unpredictable parity/magnitude tasks under anodal (RA) and sham conditions. The results showed no significant changes in behavioral performance. However, marked tDCS-induced ERP changes were observed. Specifically, for the predictable task switching, compared with the sham condition, the target-N2 component occurred significantly earlier for switch trials than repeat trials under the RA condition in males, while no difference was found in females. For unpredictable task switching, under the sham condition, the P2 peak was significantly larger for switch trials compared with repeat trials, whereas this difference was not observed under the RA condition. These results indicated the causal relationship between the right parietal cortex and exogenous adjustment processes involved in task switching. Moreover, anodal tDCS over the right parietal cortex may lead to the manifestation of gender differences.
Language	English
Publishing date	2024-03-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	196739-3
ISSN	1873-7544 ; 0306-4522
ISSN (online)	1873-7544
ISSN	0306-4522
DOI	10.1016/j.neuroscience.2024.03.004
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Zs.A 1215: Show issues

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Article ; Online: UV communication cooperative formation UAV alliance capture algorithm.

Zhao, Taifei / Li, Mina / Zhao, Yi / Song, Peng

Applied optics

2024 Volume 63, Issue 6, Page(s) 1495–1505

Abstract: The capture of target unmanned aerial vehicles (UAVs) by a UAV formation is one of the important and typical tasks in multi-UAV battlefield operations. In this paper, an ultraviolet (UV) light communication-assisted formation UAV alliance capture ... ...

Abstract	The capture of target unmanned aerial vehicles (UAVs) by a UAV formation is one of the important and typical tasks in multi-UAV battlefield operations. In this paper, an ultraviolet (UV) light communication-assisted formation UAV alliance capture algorithm is proposed, which combines UV light communication technology with a capture algorithm. With the help of wireless UV light to assist UAV formation inter-UAV data confidentiality transmission and non-line-of-sight communication, the algorithm integrates the alliance generation algorithm with the region minimization strategy, solves the optimal alliance structure by using the dynamic programming method, and implements the aerial capture of the target UAVs by using the region minimization strategy, so as to complete the task of efficiently capturing multi-targets by the UAV formation in complex scenarios. Simulation comparisons were conducted between the region minimization strategy and the proposed UV communication-assisted formation UAV alliance capture algorithm. The results show that the proposed algorithm reduces energy consumption by 12.73% on average and decreases the average number of algorithm iterations by 27.49% during the UAV formation capture of multiple targets, which verifies its low energy consumption and high capture efficiency.
Language	English
Publishing date	2024-03-04
Publishing country	United States
Document type	Journal Article
ISSN	1539-4522
ISSN (online)	1539-4522
DOI	10.1364/AO.515698
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