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  • Open Access

    ARTICLE

    Levels of evidence and grades of recommendation supporting European society for medical oncology clinical practice guidelines

    MARKO SKELIN1,2,3,*, BRUNA PERKOV-STIPIČIN1, SANJA VUŠKOVIĆ4, MARINA ŠANDRK PLEHAČEK5, ANE BAŠIĆ6, DAVID ŠARČEVIĆ7, MAJA ILIĆ8, IVAN KREČAK2,3,9

    Oncology Research, Vol.32, No.5, pp. 807-815, 2024, DOI:10.32604/or.2024.048948

    Abstract Background: The European Society for Medical Oncology (ESMO) guidelines are among the most comprehensive and widely used clinical practice guidelines (CPGs) globally. However, the level of scientific evidence supporting ESMO CPG recommendations has not been systematically investigated. This study assessed ESMO CPG levels of evidence (LOE) and grades of recommendations (GOR), as well as their trends over time across various cancer settings. Methods: We manually extracted every recommendation with the Infectious Diseases Society of America (IDSA) classification from each CPG. We examined the distribution of LOE and GOR in all available ESMO CPG guidelines across different topics and cancer types.… More >

  • Open Access

    ARTICLE

    NFHP-RN: A Method of Few-Shot Network Attack Detection Based on the Network Flow Holographic Picture-ResNet

    Tao Yi1,3, Xingshu Chen1,2,*, Mingdong Yang3, Qindong Li1, Yi Zhu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 929-955, 2024, DOI:10.32604/cmes.2024.048793

    Abstract Due to the rapid evolution of Advanced Persistent Threats (APTs) attacks, the emergence of new and rare attack samples, and even those never seen before, make it challenging for traditional rule-based detection methods to extract universal rules for effective detection. With the progress in techniques such as transfer learning and meta-learning, few-shot network attack detection has progressed. However, challenges in few-shot network attack detection arise from the inability of time sequence flow features to adapt to the fixed length input requirement of deep learning, difficulties in capturing rich information from original flow in the case of insufficient samples, and the… More >

  • Open Access

    ARTICLE

    A Privacy Preservation Method for Attributed Social Network Based on Negative Representation of Information

    Hao Jiang1, Yuerong Liao1, Dongdong Zhao2, Wenjian Luo3, Xingyi Zhang1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 1045-1075, 2024, DOI:10.32604/cmes.2024.048653

    Abstract Due to the presence of a large amount of personal sensitive information in social networks, privacy preservation issues in social networks have attracted the attention of many scholars. Inspired by the self-nonself discrimination paradigm in the biological immune system, the negative representation of information indicates features such as simplicity and efficiency, which is very suitable for preserving social network privacy. Therefore, we suggest a method to preserve the topology privacy and node attribute privacy of attribute social networks, called AttNetNRI. Specifically, a negative survey-based method is developed to disturb the relationship between nodes in the social network so that the… More >

  • Open Access

    ARTICLE

    Probabilistic-Ellipsoid Hybrid Reliability Multi-Material Topology Optimization Method Based on Stress Constraint

    Zibin Mao1, Qinghai Zhao1,2,*, Liang Zhang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 757-792, 2024, DOI:10.32604/cmes.2024.048016

    Abstract This paper proposes a multi-material topology optimization method based on the hybrid reliability of the probability-ellipsoid model with stress constraint for the stochastic uncertainty and epistemic uncertainty of mechanical loads in optimization design. The probabilistic model is combined with the ellipsoidal model to describe the uncertainty of mechanical loads. The topology optimization formula is combined with the ordered solid isotropic material with penalization (ordered-SIMP) multi-material interpolation model. The stresses of all elements are integrated into a global stress measurement that approximates the maximum stress using the normalized p-norm function. Furthermore, the sequential optimization and reliability assessment (SORA) is applied to… More >

  • Open Access

    ARTICLE

    Modularized and Parametric Modeling Technology for Finite Element Simulations of Underground Engineering under Complicated Geological Conditions

    Jiaqi Wu1, Li Zhuo1,*, Jianliang Pei1, Yao Li2, Hongqiang Xie1, Jiaming Wu1, Huaizhong Liu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.1, pp. 621-645, 2024, DOI:10.32604/cmes.2024.046398

    Abstract The surrounding geological conditions and supporting structures of underground engineering are often updated during construction, and these updates require repeated numerical modeling. To improve the numerical modeling efficiency of underground engineering, a modularized and parametric modeling cloud server is developed by using Python codes. The basic framework of the cloud server is as follows: input the modeling parameters into the web platform, implement Rhino software and FLAC3D software to model and run simulations in the cloud server, and return the simulation results to the web platform. The modeling program can automatically generate instructions that can run the modeling process in… More >

  • Open Access

    EDITORIAL

    INTRODUCTION

    Plumejeaud-Perreau, C, Gravier, J, Masson, E, Nahassia, L, Rodier, X, Saux, E, Fargette, M, Libourel, T, Mathian, H, Nuninger, L, Sanders, L

    Revue Internationale de Géomatique, Vol.31, No.1, pp. 7-19, 2022, DOI:10.3166/RIG.31.7-19

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Biological function of miRNA-145-5p in angiotensin II induced renal inflammation

    BIN LI1,2,3,#, YUCHENG SHENG4,#, XIAOYING XU4, SHENGCUN WANG3, HONGYAN SONG3, JINGYUAN LI3, HAONAN JI1, QINGHUA WANG3, XIAODI ZHOU1,*, LONGJU QI2,*

    BIOCELL, Vol.48, No.4, pp. 601-611, 2024, DOI:10.32604/biocell.2024.047404

    Abstract Objective: Chronic kidney disease (CKD) is a progressive disorder characterized by intricate structural and functional alterations in the kidneys, attributable to diverse causative factors. Notably, the therapeutic promise of miR-145-5p in addressing renal pathologies has been discerned. This investigation seeks to elucidate the functional role of miR-145-5p in injured kidneys by subjecting human glomerular mesangial cells (HGMCs) to stimulation with Angiotensin II (AngII). Materials and Methods: Cellular viability and the levels of inflammatory mediators were evaluated utilizing Cell Counting Kit-8 (CCK-8), quantitative real-time polymerase chain reaction (qRT-PCR), and western blot methodologies, both in the presence of AngII incubation and in… More >

  • Open Access

    ARTICLE

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

    Mingyue Miao1,#, Fei Wang1,#, Qing Li1, Longchen Tao1, Chenchen Dai1, Yu Liu1, Shujuan Han1, Wenshuai Chen1,*, Ping Lu2,*

    Journal of Renewable Materials, Vol.12, No.3, pp. 443-455, 2024, DOI:10.32604/jrm.2023.030412

    Abstract The rheological properties of nanocellulose aqueous suspensions play a critical role in the development of nanocellulose-based bulk materials. High-crystalline, high-aspect ratio, and slender nanofibrillated cellulose (NFC) were extracted from four biomass resources. The cellulose nanofibrils and nanofibril bundles formed inter-connected networks in the NFC aqueous suspensions. The storage moduli of the suspensions with different concentrations were higher than their corresponding loss moduli. As the concentration increased, the storage and loss modulus of NFC dispersion increased. When the shear rate increased to a certain value, there were differences in the changing trend of the rheological behavior of NFC aqueous suspensions derived… More > Graphic Abstract

    Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose

  • Open Access

    ARTICLE

    Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

    Moumouni Sidibé1,2,*, Augustin K. N. Aoudji1, Yaya Issifou Moumouni3,*, Issa Sacko4, Idelphonse Saliou1, Bourema Koné2, Achille Ephrem Assogbadjo5, Afio Zannou1

    Revue Internationale de Géomatique, Vol.33, pp. 51-76, 2024, DOI:10.32604/rig.2024.045505

    Abstract La dynamique d’occupation des terres constitue un préalable pour l’identification des contraintes de gestion des ressources naturelles, l’évolution de pratiques agraires et la croissance démographique. L’objectif de cette recherche est d’améliorer les connaissances sur la dynamique d’occupation des terres agricoles dans les zones de cultures sèches (Cinzana) et cotonnière (Kléla) au Mali. La méthodologie utilisée a consisté à la collecte des données planimétriques et à l’analyse diachronique à travers des images satellitaires Landsat TM (Thematic Mapper) de 2000 et OLI (Operational Land Image) de 2020. Les taux de dégradation et de déforestation des formations naturelles ont été calculés d’une part… More > Graphic Abstract

    Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

  • Open Access

    ARTICLE

    Mindfulness Facets and Psychological Well-Being among Meditators: Serenity as a Mediating Process

    Rebecca Y. M. Cheung1,*, Iris Yili Wang2, Elsa Ngar-Sze Lau3

    International Journal of Mental Health Promotion, Vol.26, No.3, pp. 177-187, 2024, DOI:10.32604/ijmhp.2024.047190

    Abstract Guided by the theoretical processes of mindfulness and psychological well-being, this study examined serenity as a mediator between mindfulness facets and psychological well-being, as indexed by depressive symptoms and life satisfaction. Participants were 133 mindfulness practitioners who took part in a 3-day transnational meditation event in Hong Kong. Upon informed consent, participants completed a self-report questionnaire. The findings from structural equation modeling showed that serenity mediated the relation between two facets of mindfulness, including describing and nonreacting to inner experience, and life satisfaction. Serenity also mediated the relation between the mindfulness facet of describing and depressive symptoms. Direct associations were… More >

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