Mireille Fargette¹ , Maud Loireau², Najet Raouani³ , Thérèse Libourel⁴

Revue Internationale de Géomatique, Vol.31, No.1, pp. 135-197, 2022, DOI:10.3166/RIG31.135-197

Abstract Ce travail s’intéresse à l’observation, à la connaissance scientifique construite à partir de ce qui est perçu (Lien de Sens) d’un monde systémique complexe. La démarche conduit à proposer le concept d’empreinte dans le cadre scientifique interdisciplinaire « Système - Réalité - Monde perçu - Modèle », à le mettre à l’épreuve des données, puis à proposer la démarche d’ontologie systémique. Celle-ci permet de déployer le Lien de Forme du domaine systémique au monde perçu, d’analyser et décrire la part pertinente de la donnée et de montrer en quoi l’ensemble de ce travail essentiellement symbolique More >

Wissame Laddada¹ , Éric Saux²

Revue Internationale de Géomatique, Vol.31, No.1, pp. 111-133, 2022, DOI:10.3166/RIG31.111-133

Abstract Les empreintes spatiales, historiques ou acquises en temps réel, aident a la compréhension des dynamiques de leurs porteurs. Dans un contexte de navigation maritime côtière, la recherche présentée montre la démarche de mise en place d’un modèle de connaissances visant a une analyse sémantique des empreintes de navires. Ce modèle est défini a partir des connaissances recueillies auprès d’experts du domaine complétées par des descriptions textuelles et graphiques. Après avoir décrit les principes de navigation, nous présentons les étapes menant a un tel modèle de connaissances. La recherche est complétée par la formalisation de règles More >

Laure Nuninger¹ , Thérèse Libourel², Xavier Rodier³, Rachel Opitz⁴, Philip Verhagen⁵, Catherine Fruchart¹, Clément Laplaige³, Samuel Leturcq³, Nathanael Levoguer³

Revue Internationale de Géomatique, Vol.31, No.1, pp. 81-110, 2022, DOI:10.3166/RIG31.81-110

Abstract Dans cet article, nous proposons une nouvelle piste de raisonnement élaborée en interdisciplinarité avec des archéologues, conçue pour des études liées à la notion de mobilité. À l’aide d’études de cas, nous analysons comment les chercheurs ont identifié, conceptualisé et relié les traces matérielles décrivant divers processus de mobilité dans une région donnée. Nous élaborons ensuite la construction d’ontologies qui nous permettent de relier explicitement les éléments matériels, identifiés dans le paysage observé, aux connaissances ou à la théorie qui explique leur rôle et leurs relations au sein du processus de mobilité. En combinant les More >

Xinyue Wang^1,#, Jing Xu^1,#, Qihong Gu¹, Dingxuan Tang¹, Huoyan Ji², Shaoqing Ju², Feng Wang^2,*, Lin Chen³, Ruoyu Yuan^2,*

Oncologie, Vol.24, No.3, pp. 513-526, 2022, DOI:10.32604/oncologie.2022.024373 - 19 September 2022

Abstract Background: MicroRNAs (miRNAs) have been identified as promising novel biomarkers for cancer diagnosis and prognosis, especially for hepatocellular carcinoma (HCC). Nowadays, the expression level of miR-21 in serum samples is a diagnostic indicator for HCC diagnosis. Thus, the quantitative determination of miRNA concentration is of significance in clinical practice. It is particularly important to establish an analytical detection method for miR-21 in patient serum. Methods: The signal readout for miR-21 was based on the mass response of a reporter peptide using an isotope dilution mass spectrometry (MS) method in this work. To be more specific, miR-21… More >

Saravanan Manikandan¹, Mosiur Rahaman¹, Yu-Lin Song^1,2,*

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5789-5808, 2022, DOI:10.32604/cmc.2022.031490 - 28 July 2022

Abstract The Internet of Vehicles (IoV) has evolved as an advancement over the conventional Vehicular Ad-hoc Networks (VANETs) in pursuing a more optimal intelligent transportation system that can provide various intelligent solutions and enable a variety of applications for vehicular traffic. Massive volumes of data are produced and communicated wirelessly among the different relayed entities in these vehicular networks, which might entice adversaries and endanger the system with a wide range of security attacks. To ensure the security of such a sensitive network, we proposed a distributed authentication mechanism for IoV based on blockchain technology as… More >

Weixing Zhang, Chunxia He^*

Journal of Renewable Materials, Vol.10, No.12, pp. 3263-3283, 2022, DOI:10.32604/jrm.2022.020516 - 14 July 2022

Abstract With the exponential growth of the computing power, machine learning techniques have been successfully used in various applications. This paper intended to predict and optimize the shear strength of single lap cassava starchbased adhesive joints for comparison with the application of artificial intelligence (AI) methods. The shear strength was firstly determined by the experiment with three independent experimental variables (starch content, NaOH concentration and reaction temperature). The analysis of range (ANORA) and analysis of variance (ANOVA) were applied to investigate the optimal combination and the significance of each factor for the shear strength based on… More >

Minxi Rong¹, Yong Li^1,*, Xiaoli Guo^1,*, Tao Zong², Zhiyuan Ma², Penglei Li²

Oncologie, Vol.24, No.2, pp. 309-327, 2022, DOI:10.32604/oncologie.2022.021256 - 29 June 2022

Abstract Objectives: The ERα biological activity prediction model is constructed by the compound molecular data of the anti-breast cancer therapeutic target ERα and its biological activity data, which improves the screening efficiency of anti-breast cancer drug candidates and saves the time and cost of drug development. Methods: In this paper, Ridge model is used to screen out molecular descriptors with a high degree of influence on the biological activity of Erα and divide datasets with different numbers of the molecular descriptors by screening results. Random Forest (RF) is trained by Root Mean Square Error (RMSE) and Coefficient of… More >

Xianling Fu^#, Hongliang Ding^#, Xin Wang^*, Lei Song, Yuan Hu^*

Journal of Renewable Materials, Vol.10, No.9, pp. 2303-2317, 2022, DOI:10.32604/jrm.2022.020759 - 30 May 2022

Abstract Although epoxy resin has been widely used in various fields, it still suffers from some problems including brittleness and flammability. In this study, a new phosphonic acid, N, N-bis(phosphomethyl) glycine (GDMP), was prepared by Mannich reaction with bio-based glycine and then a novel layered zirconium phosphonate (ZrGDMP) was synthesized using GDMP and zirconyl chloride hydrate as reactants. The chemical structure of ZrGDMP was well characterized by ¹H and ³¹P NMR, SEM, XRD and XPS. The effect of ZrGDMP on the flame retardancy, smoke suppression, strengthening and toughening performances of the epoxy matrix was investigated and evaluated.… More > Graphic Abstract

Chenxi Yu, Xin Li^*

Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 2023-2034, 2022, DOI:10.32604/iasc.2022.029447 - 25 May 2022

Abstract Machine reading comprehension (MRC) is a task in natural language comprehension. It assesses machine reading comprehension based on text reading and answering questions. Traditional attention methods typically focus on one of syntax or semantics, or integrate syntax and semantics through a manual method, leaving the model unable to fully utilize syntax and semantics for MRC tasks. In order to better understand syntactic and semantic information and improve machine reading comprehension, our study uses syntactic and semantic attention to conduct text modeling for tasks. Based on the BERT model of Transformer encoder, we separate a text… More >

Najla Bagais^*, Etimad Fadel, Amal Al-Mansour

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1237-1267, 2022, DOI:10.32604/cmc.2022.026070 - 18 May 2022

Abstract Wireless sensor networks (WSNs) are considered the backbone of the Internet of Things (IoT), which enables sensor nodes (SNs) to achieve applications similarly to human intelligence. However, integrating a WSN with the IoT is challenging and causes issues that require careful exploration. Prolonging the lifetime of a network through appropriately utilising energy consumption is among the essential challenges due to the limited resources of SNs. Thus, recent research has examined mobile sinks (MSs), which have been introduced to improve the overall efficiency of WSNs. MSs bear the burden of data collection instead of consuming energy… More >