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Article: Methodology Advances in Vertebrate Age Estimation.

Zhang, Yifei / Bi, Jinping / Ning, Yao / Feng, Jiang

Animals : an open access journal from MDPI

2024 Volume 14, Issue 2

Abstract: Age is a core metric in vertebrate management, and the correct estimation of the age of an individual plays a principal role in comprehending animal behavior, identifying genealogical information, and assessing the potential reproductive capacity of ... ...

Abstract	Age is a core metric in vertebrate management, and the correct estimation of the age of an individual plays a principal role in comprehending animal behavior, identifying genealogical information, and assessing the potential reproductive capacity of populations. Vertebrates have a vertebral column and a distinct head containing a developed brain; they have played an important role in the study of biological evolution. However, biological age estimations constantly exhibit large deviations due to the diversity of vertebrate taxon species, sample types, and determination methods. To systematically and comprehensively understand age estimation methods in different situations, we classify the degree of damage to vertebrates during sample collection, present the sample types and their applications, list commonly applied methods, present methodological recommendations based on the combination of accuracy and implementability, and, finally, predict future methods for vertebrate age assessments, taking into account the current level of research and requirements. Through comprehensive data gathering and compilation, this work serves as an introduction and summary for those who are eager to catch up on related fields and facilitates the rapid and accurate selection of an evaluation method for researchers engaged in related research. This is essential to promote animal conservation and guide the smooth implementation of conservation management plans.
Language	English
Publishing date	2024-01-22
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani14020343
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A GAN-Augmented Corrosion Prediction Model for Uncoated Steel Plates

Feng Jiang / Mikihito Hirohata

Applied Sciences, Vol 12, Iss 4706, p

2022 Volume 4706

Abstract: The deterioration and damage of aging steel structures have caused huge safety concerns. Corrosion has been identified as a big reason for the deterioration and damage, which causes steel members to lose materials. As a result, the structures’ stiffness ... ...

Abstract	The deterioration and damage of aging steel structures have caused huge safety concerns. Corrosion has been identified as a big reason for the deterioration and damage, which causes steel members to lose materials. As a result, the structures’ stiffness and load-bearing capacity will be reduced, which brings economic losses and safety hazards. For the maintenance and repair of steel structures, fast and accurate prediction of corrosion development plays a critical role in numerical simulation analysis, which could save time and costs. In this research, we build a simulation system based on GAN data augmentation with UNet as the generator and MobileNetV2 as the discriminator. The goal is to effectively predict the corrosion behavior of uncoated steel structures over time and under different circumstances. The system can simulate three stages of corrosion based on the dataset collected from experiments. It can also predict the corrosion of steel plates in the next stage. The discriminator of the system can be used to classify the type of steel, the stage of corrosion, and days of corrosion. Based on comparative experiments, our system demonstrates outstanding performance and outperforms the baseline model.
Keywords	corrosion ; infrastructure maintenance ; GAN ; corrosion prediction ; uncoated steel plates ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	690
Language	English
Publishing date	2022-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A feature selection method based on the Golden Jackal-Grey Wolf Hybrid Optimization Algorithm

Guangwei Liu / Zhiqing Guo / Wei Liu / Feng Jiang / Ensan Fu

PLoS ONE, Vol 19, Iss

2024 Volume 1

Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2024-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Lycorine weakens tamoxifen resistance of breast cancer via abrogating HAGLR‐mediated epigenetic suppression on VGLL4 by DNMT1

Jing Zhai / Jun‐Feng Jiang / Lei Shi

Kaohsiung Journal of Medical Sciences, Vol 39, Iss 3, Pp 278-

2023 Volume 289

Abstract: Abstract Much is known about the significance of lycorine, a natural alkaloid, in combating various types of cancer, including breast cancer (BC), but whether it participates in regulating tamoxifen (TAM) resistance and its underlying mechanism remain to ...

Abstract	Abstract Much is known about the significance of lycorine, a natural alkaloid, in combating various types of cancer, including breast cancer (BC), but whether it participates in regulating tamoxifen (TAM) resistance and its underlying mechanism remain to be elucidated. Tamoxifen‐resistant (TAMR) BC cells were first established by continuously exposed to increasing concentrations of TAM. Levels of targeted gene including HOXD antisense growth‐associated lncRNA (HAGLR) and Vestigial like family member 4 (VGLL4) were analyzed by qRT‐PCR and western blot, respectively. Cell proliferation ability was assessed by MTT and EdU assays. Flow cytometry was carried out to evaluate the apoptosis. VGLL4 promoter methylation was examined using methylation specific PCR (MSP). The role of HAGLR acting on the expression of VGLL4 via DNA hypermethylation was confirmed by RNA immunoprecipitation (RIP). Here, we reported that lycorine administration reduced the survival ratio of TAMR BC cells, decreased the IC50 of TAM, and strengthened TAM‐induced apoptosis. HAGLR, observed to be highly expressed in TAMR BC cells, was identified to be a downstream effector of lycorine, of which overexpression abolished lycorine‐mediated TAMR inhibition. VGLL4 served as a target of HAGLR in regulating lycorine‐mediated suppression on tamoxifen resistance of TAMR BC cells. Mechanistically, HAGLR epigenetically suppressed VGLL4 expression via DNA methyltransferase 1 (DNMT1)‐mediated DNA hypermethylation. Taken together, our data highlights the pivotal role of lycorine in TAM resistance of BC, which may provide a potential agent for improving the effectiveness and efficacy of BC resistance.
Keywords	DNA hypermethylation ; HAGLR ; lycorine ; tamoxifen resistance ; VGLL4 ; Medicine (General) ; R5-920
Subject code	610
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
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Article ; Online: Concentration or distraction? A synergetic-based attention weights optimization method

Zihao Wang / Haifeng Li / Lin Ma / Feng Jiang

Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7381-

2023 Volume 7393

Abstract: Abstract The attention mechanism empowers deep learning to a broader range of applications, but the contribution of the attention module is highly controversial. Research on modern Hopfield networks indicates that the attention mechanism can also be used ...

Abstract	Abstract The attention mechanism empowers deep learning to a broader range of applications, but the contribution of the attention module is highly controversial. Research on modern Hopfield networks indicates that the attention mechanism can also be used in shallow networks. Its automatic sample filtering facilitates instance extraction in Multiple Instances Learning tasks. Since the attention mechanism has a clear contribution and intuitive performance in shallow networks, this paper further investigates its optimization method based on the recurrent neural network. Through comprehensive comparison, we find that the Synergetic Neural Network has the advantage of more accurate and controllable convergences and revertible converging steps. Therefore, we design the Syn layer based on the Synergetic Neural Network and propose the novel invertible activation function as the forward and backward update formula for attention weights concentration or distraction. Experimental results show that our method outperforms other methods in all Multiple Instances Learning benchmark datasets. Concentration improves the robustness of the results, while distraction expands the instance observing space and yields better results. Codes available at https://github.com/wzh134/Syn .
Keywords	Attention ; Synergetic neural network ; Recurrent neural network ; Multiple instance learning ; Shallow network ; Electronic computers. Computer science ; QA75.5-76.95 ; Information technology ; T58.5-58.64
Subject code	006
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Springer
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: An Optimization Ranking Approach Based on Weighted Citation Networks and P-Rank Algorithm

Jian-feng Jiang / Shen Xu / Lan-tao You

Complexity, Vol

2023 Volume 2023

Abstract: Evaluating scientific articles has always been a challenging task, made even more difficult by the constantly evolving citation networks. Despite numerous attempts at solving this problem, most existing approaches fail to consider the link relationships ... ...

Abstract	Evaluating scientific articles has always been a challenging task, made even more difficult by the constantly evolving citation networks. Despite numerous attempts at solving this problem, most existing approaches fail to consider the link relationships within the citation network, which can often result in biased evaluation results. To overcome this limitation, we present an optimization ranking algorithm that leverages the P-Rank algorithm and weighted citation networks to provide a more accurate article ranking. The proposed approach employs two hyperbolic tangent functions to calculate the corresponding age of articles and the number of citations, while also updating the link relationships of each paper node in the citation network. We validate the effectiveness of the proposed approach using three evaluation indicators and conduct experiments on three public datasets. The obtained experimental results demonstrate that the optimization article ranking method can achieve competitive performance when compared to other unweighted ranking algorithms. In addition, we note that the optimal Spearman’s rank correlation and robustness can all be achieved by using a combination of the following parameters: α=10, β=5, and γ=2.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	001
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Hindawi-Wiley
Document type	Article ; Online
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Article ; Online: Predictive Value and Immunological Role of the HSPA5 Gene in Cervical Cancer.

Bai, Yingying / Miao, Yandong / Wang, Jiangtao / Gan, Jian / Feng, Jiang

Biochemical genetics

2024

Abstract: Cervical cancer (CC) ranks fourth among women's malignancies worldwide and seriously affects women's health. HSPA5 is a heat shock protein, also known as glucose regulatory protein 78 (GRP78). Upregulation of HSPA5 has been reported to be closely ... ...

Abstract	Cervical cancer (CC) ranks fourth among women's malignancies worldwide and seriously affects women's health. HSPA5 is a heat shock protein, also known as glucose regulatory protein 78 (GRP78). Upregulation of HSPA5 has been reported to be closely associated with multiple types of tumors. However, the specific role of HSPA5 in cervical cancer has not been discovered. In our study, we explored the prognostic value of HSPA5 in CC. Here, we analyzed the (TCGA) and (UCSC) databases, the analysis of HSPA5 in many tumors types was conducted with the "wilcox. test" method. A False Discovery Rate (FDR) value < 0.05 and Log2 \| (fold change, FC) \|> 1 were set as the cutoffs. "", "", and "**" indicate FDR < 0.05, < 0.01, and < 0.001, respectively, and further used human cervical cancer cells for q-PCR and western blotting detection. q-PCR and western blotting results showed that HSPA5 was highly expressed in cervical cancer cells, while it was expressed at low levels in normal cells (P < 0.05).We also analyzed the immunohistochemical data. immunohistochemical analysis results showed that HSPA5 was highly expressed in human cervical cancer, while it was expressed at low levels in normal tissues (P < 0.05). Analysis in TCGA-UCSC showed that the proportion of G3 in the group with high expression of HSPA5 was relatively high (P < 0.05). Enrichment analysis and survival analysis showed that the increased expression of HSPA5 in cervical cancer was related to the survival of CC and was involved in the regulation of biological behavior and molecular signaling pathways of cervical cancer. The correlation analysis of immune checkpoint and immune infiltration showed that HSPA5 was involved in the regulation of immune process of cervical cancer (P < 0.05). Drug sensitivity correlation analysis showed that HSPA5 was a sensitive target for tumor drugs (P < 0.05). In brief, those results suggest that HSPA5 can act as an oncogene of CC development and can serve as an effective predictive biomarker in cervical cancer.
Language	English
Publishing date	2024-04-08
Publishing country	United States
Document type	Journal Article
ZDB-ID	2168-4
ISSN	1573-4927 ; 0006-2928
ISSN (online)	1573-4927
ISSN	0006-2928
DOI	10.1007/s10528-024-10782-w
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Article: Effects of Climate Change on the Distribution of Threatened Fishing Bat

Guo, Wei / Li, Zixuan / Liu, Tong / Feng, Jiang

Animals : an open access journal from MDPI

2023 Volume 13, Issue 11

Abstract: Climate change and biodiversity loss are two severe challenges that the world is facing. Studying the distribution shifts of species in response to climate change could provide insights into long-term conservation and biodiversity maintenance. ...

Abstract	Climate change and biodiversity loss are two severe challenges that the world is facing. Studying the distribution shifts of species in response to climate change could provide insights into long-term conservation and biodiversity maintenance.
Language	English
Publishing date	2023-05-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2606558-7
ISSN	2076-2615
ISSN	2076-2615
DOI	10.3390/ani13111784
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Article ; Online: Risk Factor Analysis of Postoperative Venous Thromboembolism in Patients After Thoracoscopic Lobectomy.

Qiao, Junkai / Feng, Jiang / Hu, Weiwei / Wu, Yueming

Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis

2023 Volume 29, Page(s) 10760296231156908

Abstract: Objective: To analyze independent risk factors for postoperative venous thromboembolism (VTE) in patients after thoracoscopic lobectomy and establish a risk model for predicting thrombosis.: Methods: We selected 135 patients who underwent ... ...

Abstract	Objective: To analyze independent risk factors for postoperative venous thromboembolism (VTE) in patients after thoracoscopic lobectomy and establish a risk model for predicting thrombosis. Methods: We selected 135 patients who underwent thoracoscopic lobectomy and assigned them to a VTE group ( Results: D-dimer on the first postoperative day and Caprini scores were independent high-risk factors for VTE after thoracoscopic lobectomy as revealed by univariate and multivariate logistic regression analyses ( Conclusion: The D-dimer on the first postoperative day and Caprini scores were independent risk factors for VTE after thoracoscopic lobectomy. The nomogram that was generated to predict the risk of thrombosis had good accuracy and diagnostic efficacy, which can guide individual risk assessment and management decisions in clinical practice.
MeSH term(s)	Humans ; Venous Thromboembolism/etiology ; Venous Thromboembolism/diagnosis ; Risk Assessment ; Risk Factors ; Thrombosis/complications ; ROC Curve ; Retrospective Studies
Language	English
Publishing date	2023-01-26
Publishing country	United States
Document type	Journal Article
ZDB-ID	1237357-6
ISSN	1938-2723 ; 1076-0296
ISSN (online)	1938-2723
ISSN	1076-0296
DOI	10.1177/10760296231156908
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Utilizing MiSeq Sequencing to Detect Circulating microRNAs in Plasma for Improved Lung Cancer Diagnosis

Xinyan Geng / Jen-Hui Tsou / Sanford A. Stass / Feng Jiang

International Journal of Molecular Sciences, Vol 24, Iss 10277, p

2023 Volume 10277

Abstract: Non-small cell lung cancer (NSCLC) is a major contributor to cancer-related deaths, but early detection can reduce mortality. NSCLC comprises mainly adenocarcinoma (AC) and squamous cell carcinoma (SCC). Circulating microRNAs (miRNAs) in plasma have ... ...

Abstract	Non-small cell lung cancer (NSCLC) is a major contributor to cancer-related deaths, but early detection can reduce mortality. NSCLC comprises mainly adenocarcinoma (AC) and squamous cell carcinoma (SCC). Circulating microRNAs (miRNAs) in plasma have emerged as promising biomarkers for NSCLC. However, existing techniques for analyzing miRNAs have limitations, such as restricted target detection and time-consuming procedures. The MiSeqDx System has been shown to overcome these limitations, making it a promising tool for routine clinical settings. We investigated whether the MiSeqDx could profile cell-free circulating miRNAs in plasma and diagnose NSCLC. We sequenced RNA from the plasma of patients with AC and SCC and from cancer-free smokers using the MiSeqDx to profile and compare miRNA expressions. The MiSeqDx exhibits high speed and accuracy when globally analyzing plasma miRNAs. The entire workflow, encompassing RNA to data analysis, was completed in under three days. We also identified panels of plasma miRNA biomarkers that can diagnose NSCLC with 67% sensitivity and 68% specificity, and detect SCC with 90% sensitivity and 94% specificity, respectively. This study is the first to demonstrate that rapid profiling of plasma miRNAs using the MiSeqDx has the potential to offer a straightforward and effective method for the early detection and classification of NSCLC.
Keywords	NGS ; circulating cell-free ; miRNAs ; lung cancer ; diagnosis ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
Subject code	610
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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