Charlotte Bauquier^1,2,*, Myriam Pannard^1,2, Léa Baillat^1,2, Maëva Piton^1,2, Chantal Denieul², Isabelle Audouard², Stéphanie Jean-Daubias^2,3, Mouna Mouline², Murielle Sevenne², Annick Gerard², Marie Préau^1,2

Psycho-Oncologie, Vol.17, No.3, pp. 191-194, 2023, DOI:10.32604/po.2023.044552

Abstract Over the last forty years, many methodologies have been initiated within the framework of the participatory approach, the objective of which is to encourage the involvement of citizens in the definition and implementation of projects and policies concerning them. The implementation of these participatory approaches in the field of interventional research in population health reveals several scientific, organizational, inter-individual, and ethical issues that must be discussed. Thus, we propose to present here the fruit of a collective reflection of the members of a research group, composed of patient-researchers and researchers in social psychology, on the implementation of the IMPAQT research… More >

CHUNYANG XU^1,#, CAIYUN YANG^1,#, JINSONG ZHANG², XIAOHUA PAN³, JUN WANG⁴, LEI JIANG², HONGWEI YE^1,*, BO CHEN^1,*

BIOCELL, Vol.47, No.9, pp. 2027-2035, 2023, DOI:10.32604/biocell.2023.029277

Abstract Background: The lung is one of the primary target organs of hydrogen sulfide (H₂S), as exposure to H₂S can cause acute lung injury (ALI) and pulmonary edema. Dexamethasone (Dex) exerts a protective effect on ALI caused by exposure to toxic gases and is commonly used in the clinic; however, the underlying mechanisms remain elusive, and the dose is unclear. Methods: In vivo experiments: divided C57BL6 mice into 6 groups at random, 12 in each group. The mice were exposed to H₂S for 3 h and 5 or 50 mg/kg Dex pretreated before exposure, sacrificed 12 h later. The morphological changes… More >

XUEJIN YANG^1,2,#, YUANYUAN ZHOU^1,#, XINYI PENG¹, XIAOHONG FU¹, JIANQING MA¹, JIANFENG LIU^1,*, DANDAN CAO^1,2,*

BIOCELL, Vol.47, No.9, pp. 2101-2113, 2023, DOI:10.32604/biocell.2023.029581

Abstract Background: Plant root-knot nematode (RKN) disease is a serious threat to agricultural production across the world. Meloidogyne incognita is the most prominent pathogen to the vegetables and cash crops cultivated. Arachis hypogaea can effectively inhibit M. incognita, but the underlying defense mechanism is still unclear. Methods: In our study, the chemotaxis and infestation of the second-stage juveniles (J2s) of M. incognita to A. hypogaea root tips were observed by the Pluronic F-127 system and stained with sodium hypochlorite acid fuchsin, respectively. The transcriptome data of A. hypogaea roots with non-infected or infected by J2s were analyzed. Results: The J2s could… More >

XIANBAO FANG^1,#, MINGYAN TANG^1,#, ZIYANG YU^1,#, JIAQI DING¹, CHONG CUI², HONG ZHANG^1,*

BIOCELL, Vol.47, No.9, pp. 2059-2068, 2023, DOI:10.32604/biocell.2023.030565

Abstract Objective: Key genes were screened to analyze molecular mechanisms and their drug targets of endometriosis by applying a bioinformatics approach. Methods: Gene expression profiles of endometriosis and healthy controls were obtained from the Gene Expression Omnibus database. Significant differentially expressed genes were screened using the limma package. Correlation pathways were screened by Spearman correlation analysis on the echinoderm microtubule-associated protein-like 4 (EML4) and enrichment in endometriosis pathways and estimated by the GSVA package. Immune characteristics were assessed by the “ESTIMATE” R package. Potential regulatory pathways were determined by enrichment analysis. The SWISS-MODE website was used in homology modeling with EML4… More > Graphic Abstract

SHIMING YE^1,2,#, YUFENG ZHANG^3,#, TING LIU⁴, CONG WANG³, ZHENG YAN⁵, WANDONG SHE^2,*, HAIBING HUA^4,*

BIOCELL, Vol.47, No.9, pp. 1947-1964, 2023, DOI:10.32604/biocell.2023.029333

Abstract Background: Despite its widespread therapeutic use and effectiveness, the underlying pharmacologic mechanisms of Wendan decoction (WDD) and how it works to treat sudden deafness (SD) remain unclear. In this study, the pharmacological mechanisms of WDD underlying SD were analyzed using network pharmacology and molecular docking. Methods: The Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was employed to identify the active compounds and target genes of WDD, and genes associated with SD were screened on five databases. RGUI conducted Gene Ontology (GO) functional and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. A compound-target network was… More >

Rongrong Ren^1,2, Luyang Su^1,2, Xinyu Meng^1,2, Jianfang Wang³, Meng Zhao^1,2,4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 429-458, 2024, DOI:10.32604/cmes.2023.027310

Abstract With the development of big data and social computing, large-scale group decision making (LGDM) is now merging with social networks. Using social network analysis (SNA), this study proposes an LGDM consensus model that considers the trust relationship among decision makers (DMs). In the process of consensus measurement: the social network is constructed according to the social relationship among DMs, and the Louvain method is introduced to classify social networks to form subgroups. In this study, the weights of each decision maker and each subgroup are computed by comprehensive network weights and trust weights. In the process of consensus improvement: A… More >

Sixian Chan^1,2, Binghui Wu¹, Guodao Zhang³, Yuan Yao⁴, Hongqiang Wang^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 411-428, 2024, DOI:10.32604/cmes.2023.029485

Abstract In clinical practice, the microscopic examination of urine sediment is considered an important in vitro examination with many broad applications. Measuring the amount of each type of urine sediment allows for screening, diagnosis and evaluation of kidney and urinary tract disease, providing insight into the specific type and severity. However, manual urine sediment examination is labor-intensive, time-consuming, and subjective. Traditional machine learning based object detection methods require hand-crafted features for localization and classification, which have poor generalization capabilities and are difficult to quickly and accurately detect the number of urine sediments. Deep learning based object detection methods have the potential… More > Graphic Abstract

Cheng Wang¹, Haoran Zhu^2,*, Congjun Rao^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 691-718, 2024, DOI:10.32604/cmes.2023.029258

Abstract Cardiovascular disease (CVD) has gradually become one of the main causes of harm to the life and health of residents. Exploring the influencing factors and risk assessment methods of CVD has become a general trend. In this paper, a machine learning-based decision-making mechanism for risk assessment of CVD is designed. In this mechanism, the logistics regression analysis method and factor analysis model are used to select age, obesity degree, blood pressure, blood fat, blood sugar, smoking status, drinking status, and exercise status as the main pathogenic factors of CVD, and an index system of risk assessment for CVD is established.… More >

Yuling Dou¹, Fengqin Yao¹, Xiandong Wang¹, Liang Qu², Long Chen³, Zhiwei Xu⁴, Laihui Ding⁴, Leon Bevan Bullock¹, Guoqiang Zhong¹, Shengke Wang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 1001-1014, 2024, DOI:10.32604/cmes.2023.027764

Abstract UAV marine monitoring plays an essential role in marine environmental protection because of its flexibility and convenience, low cost and convenient maintenance. In marine environmental monitoring, the similarity between objects such as oil spill and sea surface, Spartina alterniflora and algae is high, and the effect of the general segmentation algorithm is poor, which brings new challenges to the segmentation of UAV marine images. Panoramic segmentation can do object detection and semantic segmentation at the same time, which can well solve the polymorphism problem of objects in UAV ocean images. Currently, there are few studies on UAV marine image recognition… More >

Lulu Zhi, Xiangyang Hu^*

Phyton-International Journal of Experimental Botany, Vol.92, No.10, pp. 2825-2840, 2023, DOI:10.32604/phyton.2023.030912

Abstract Plant regeneration is a self-repair of the plant body in response to adverse conditions or damaged structures, and root regeneration allows the plant body to better adapt to its environment by supplementing the roots’ structure. Previous research has shown that adventitious roots can be made to occur from scratch in two ways. Studies that simulate adventitious root regeneration through natural conditions allow the regeneration process to be broadly divided into three stages: the perception of early signals, the massive accumulation of auxin, and the transformation of cell fate. The strength of regeneration, in turn, is influenced by wounding, stress, hormones,… More >