Computer simulation of the wound process (review of literature) by A. M. Morozov, A. N. Sergeev, A. V. Sungurova, D. V. Morozov, M. A. Belyak, A. S. Domracheva

“…Computer modeling of wounds is still a controversial and complex topic. Existing models are not intended to describe all the processes occurring in a healing wound. …”
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Lightweight Detection Algorithm for Breast-Mass Features in Ultrasound Images by Taojuan Li, Wen Liu, Mingxian Song, Zheng Gu, Ling Hai

“…Second, the detection head of YOLOv8 is replaced with a lightweight shared detail-enhanced convolutional detection head (LSDECD) to improve the model’s ability to detect small masses. Finally, a weighted intersection-over-union (WIoU) loss function is integrated to better capture the complex boundaries of malignant masses. …”
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ARTIFICIAL INTELLIGENCE IN SCOLIOSIS DIAGNOSIS: A COMPARATIVE STUDY BETWEEN CHATGPT AND SURGEONS by LUCAS SILVEIRA RABELLO DE OLIVEIRA, RAFAEL CARBONI DE SOUZA, ANDRÉ EVARISTO MARCONDES CESAR, BRUNO VIEIRA MOTTER, WILKER HERKSON DE ALMEIDA OLIVEIRA, GUILHERME FOIZER, GABRIELLE DO AMARAL VIRGINIO PEREIRA, LUCIANO MILLER REIS RODRIGUES

“…However, agreement was significantly lower in more complex cases (Cases 3 and 5), with only 11.1% and 18.8% of the specialists accepting the Al’s recommendations, respectively. …”
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Single-walled carbon nanotubes sensors: Preparation and bio-application advances by Xiaotong Chen, Difan Wang, Wenshuo Ding, Hengchang Zang, Lian Li

“…These biosensors have been shown to have high sensitivity and specificity in the detection of a wide range of small molecules, offering a wide range of possibilities for analyzing volatile organic compounds, signaling molecules, and reactive oxygen species within biological systems, and providing new ways of gaining insights into the complex mechanisms of disease progression. Finally, we have analyzed the ability of SWCNT biosensors to recognize biomolecules in various categories, including proteins, nucleic acids, and lipids. …”
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Genomic dataset of multidrug-resistant Klebsiella quasipneumoniae from Indonesia by Nastiti Intan Permata Sari, Putu Yuliandari, Ajeng Kusumaningtyas Pramono, Dwi Tyastuti, Abdul Hadi Furqoni, Fitriana Fitriana, Sunarno Sunarno, Dewi Setyowati, Ni Luh Putu Indi Dharmayanti

“…Subsequent research focusing on antimicrobial-resistant gene analysis, virulence determinants, evolutionary relationship, and transmission pathways based on this dataset will enhance understanding of this species and their differences with other Klebsiella pneumoniae complex organisms. …”
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Internal Validation of a Machine Learning-Based CDSS for Antimicrobial Stewardship by Ari Frenkel, Alicia Rendon, Carlos Chavez-Lencinas, Juan Carlos Gomez De la Torre, Jen MacDermott, Collen Gross, Stephanie Allman, Sheri Lundblad, Ivanna Zavala, Dave Gross, Jessica Siegel, Soojung Choi, Miguel Hueda-Zavaleta

“…<b>Methods:</b> Three components of the ML system were assessed: (1) A prospective observational study tested its ability to distinguish trained from novel data using various validation techniques and BioFire molecular panel inputs. (2) An anonymous retrospective analysis of internal infectious disease lab results evaluated the recognition of novel versus trained complex datasets. (3) A prospective observational validation study reviewed clinical recommendations against standard guidelines by independent clinicians. …”
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Enhancement of dicoumarol production by Aspergillus fumigatus using methanolic extract of Gliricidia sepium leaves: Insights into fermentation kinetics parameters by Siti Zalina Yaacob, Luqman Chuah Abdullah, Chuan Li Lee, Nor Hafizah Abdullah, Kit Ling Chin

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Multi-omics of a model bacterial consortium deciphers details of chitin decomposition in soil by Ryan McClure, Albert Rivas-Ubach, Kim K. Hixson, Yuliya Farris, Marci Garcia, Robert Danczak, Michelle Davison, Vanessa L. Paurus, Janet K. Jansson

“…ABSTRACT Soil microorganisms interact to carry out decomposition of complex organic carbon and nitrogen compounds, such as chitin, but the high diversity and complexity of the soil microbiome and habitat have posed a challenge to elucidating such interactions. …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Furthermore, the structural complexity of freight cars, coupled with the small size, diversity, and complex structure of defect areas, poses serious challenges for image denoising. …”
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Enhanced HoVerNet Optimization for Precise Nuclei Segmentation in Diffuse Large B-Cell Lymphoma by Gei Ki Tang, Chee Chin Lim, Faezahtul Arbaeyah Hussain, Qi Wei Oung, Aidy Irman Yajid, Sumayyah Mohammad Azmi, Yen Fook Chong

“…HoVerNet, a multi-branch neural network, was used for both nuclei segmentation and classification, particularly focusing on its ability to manage overlapping nuclei and complex morphological variations. …”
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UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…This design aims to enhance feature extraction and focus on critical image regions, addressing the challenges of detecting small and complex disease patterns in UAV-captured imagery. …”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

“…Traditional CNNs which sturggle to capture critical global contextual information often fail to distinguish the complex tissue structures in OSCC images.MethodsTo address these challenges, we propose a novel architecture called gamUnet, which integrates the Global Attention Mechanism (GAM) to enhance the model's ability to capture global cross-modal information. …”
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Application of dynamic systems modeling approach to rank optimal urban waste management strategies using SWOT method by Hamid Shahbandarzadeh, Mohammad Hossein Kabgani

“…The reasons for using the dynamic systems approach for this research can also be enumerated as follows: 1) an appropriate approach in determining and predicting the effects of factors affecting waste production, 2) helping to understand the relationships between variables and examining the behaviour and structure of systems, incredibly complex systems (creating a conceptual model), 3) a flexible approach with the ability to analyze quantitatively and qualitatively, 4) the ability to review the system in the future under different scenarios and policies of decision makers and 5) dynamic system models are considered as simulation models; therefore, they have the advantages of using the simulation method over the analysis methods. …”
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Machine learning predicts improvement of functional outcomes in spinal cord injury patients after inpatient rehabilitation by Mohammad Rasoolinejad, Irene Say, Peter B. Wu, Xinran Liu, Yan Zhou, Yan Zhou, Nathan Zhang, Emily R. Rosario, Daniel C. Lu, Daniel C. Lu, Daniel C. Lu

“…The study also highlighted the superior ability of tree-based models to capture the complex, non-linear relationships between variables that impact recovery in SCI patients.DiscussionThis research underscores the potential of machine learning models to enhance the accuracy of outcome predictions in SCI rehabilitation. …”
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Multi-omics data reveal that SAA1 + fibroblasts exacerbate periodontitis by regulating macrophage inflammation and chemotaxis by Li Li, Yuting Yang, Fang Dai, Libin Deng, Meixiu Jiang, Chenjiang He, Ting Long, Kaiqiang Yang, Xinbo Yang, Li Song

“…Abstract Background Traditional techniques are limited in their ability to analyze the complex interaction mechanisms among multiple cell types within the periodontal microenvironment, thereby restricting the development of targeted therapies for periodontitis (PD). …”
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Leveraging Interfacial Electric Field for Smart Modulation of Electrode Surface in Nitrate to Ammonia Conversion by Kouer Zhang, Yifan Xu, Fatang Liu, Qing Wang, Xiaohong Zou, Mingcong Tang, Michael K.H. Leung, Zhimin Ao, Xunhua Zhao, Xiao Zhang, Liang An

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PSYCHOLOGICAL READINESS OF SECONDARY VOCATIONAL EDUCATION TEACHERS FOR MASTERING NEW ACTIVITIES IN THE CONTEXT OF PROFESSIONAL REORIENTATION by I. I. Khasanova, S. S. Kotova

“…General scientific methods such as analysis, synthesis, specification and generalization were applied. …”
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Advanced Pharmaceutical Nanotechnologies Applied for Chinese Herbal Medicines by Jiameng Li, Ya‐Li Zhang, Tong Jin, Zhaokui Jin, Mengliang Zhu, Guangchao Qing, Jinchao Zhang, Zhisen Wang, Yan Mu, Jin Li, Qian Hua, Xing‐Jie Liang

“…Abstract Over centuries of clinical practice, Chinese herbal medicines (CHMs) have gained widespread recognition for their efficacy in treating various diseases. However, their complex material basis and relatively mild therapeutic efficacy limit their modernization and quality control. …”
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Ethical education: Ways of moral consciousness development (understanding experience through Tyumen ethical and philosophical tradition) by E. N. Yarkova, A. G. Ivanov, Ya. V. Maltsev

“…This is due to the fact that the person’s moral consciousness is an extremely subtle matter; the ways of its development are complex and non-linear. The question “How should the process of ethical education be organised?” …”
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stGRL: spatial domain identification, denoising, and imputation algorithm for spatial transcriptome data based on multi-task graph contrastive representation learning by Xin Lu, Murong Zhou, Bo Gao, Fang Wang, Shuilin Jin, Qiaoming Liu, Guohua Wang

“…However, due to current technical limitations, spatial transcriptomics data often exhibit high dropout rates and noise, posing challenges for downstream analysis, like spot clustering, differential gene analysis, and spatial domain identification. …”
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