Mahmud H. Ali^a,* , Rawand E. Jalal^a

Frontiers in Heat and Mass Transfer, Vol.15, No.1, pp. 1-14, 2020, DOI:10.5098/hmt.15.27

Abstract In this work, natural convection in an adiabatic enclosure with openings induced by two isothermal hot cylinders is approached numerically. The study covers five different configurations of the enclosure as the number and locations of the inlet and outlet ports are varied for Rayleigh number (Ra) between 10⁴ and 10⁶ . Additionally, the study also analyzes the effects of varying the horizontal distance (S) between the cylinders along with their vertical locations () for dimensionless values of 0.4 to 0.3 and -0.2 to 0.2, respectively, at a constant Ra of 10⁶ . The outcomes show that the locations of the… More >

MIRKO TRECCANI^*, ELENA LOCATELLI, CRISTINA PATUZZO, GIOVANNI MALERBA^*

BIOCELL, Vol.47, No.6, pp. 1225-1241, 2023, DOI:10.32604/biocell.2023.027884

Abstract The advent of genomic big data and the statistical need for reaching significant results have led genome-wide association studies to be ravenous of a huge number of genetic markers scattered along the whole genome. Since its very beginning, the so-called genotype imputation served this purpose; this statistical and inferential procedure based on a known reference panel opened the theoretical possibility to extend association analyses to a greater number of polymorphic sites which have not been previously assayed by the used technology. In this review, we present a broad overview of the genotype imputation process, showing the most known methods and… More >

Dominique Badariotti, Cyril Meyer, Yasmina Ramrani

Revue Internationale de Géomatique, Vol.30, No.2, pp. 181-213, 2020, DOI:10.3166/rig.2021.00109

Abstract In this paper, we propose a model and a methodology for the analysis of urban fabrics, sets of built morphological units articulated together by urban networks. The core of the paper presents the MoGUS model (Model Generator & analyser for Urban Simulation) and its formalization. This model jointly represents the buildings and the viaires networks of a city in a graph, and allows a comparative analysis of the properties of different urban fabrics, using derived indicators. A study plan applied to four types of archetypal urban fabrics (Hippodamean, medieval, radio-concentric, Haussmannic) generated with the MoGUS tool is presented to illustrate… More >

P. Gérain, P. Aurouet, J. Foucaud

Psycho-Oncologie, Vol.17, No.1, pp. 11-17, 2023, DOI:10.3166/pson-2022-0227

Abstract This paper is an overview of the International Scientific Conference on “Cancer, Work & Employment” that was held in Paris on November 21 and 22, 2022, and organized by the French National Cancer Institute (INCa). The conference was structured around four keynote presentations and two roundtables, with renowned international speakers. The focus of this conference was to discuss the challenges of return or access to work and job retention when facing cancer, from interdisciplinary perspectives (e.g., psychology, sociology, economics). Speakers analyzed return-to-work (RTW) determinants for cancer patients, with a particular focus on specific forms of cancer, working conditions (e.g., self-employment,… More >

A. Guité-Verret, M. Vachon

Psycho-Oncologie, Vol.17, No.1, pp. 44-50, 2023, DOI:10.3166/pson-2022-0220

Abstract The aim of this study is to better understand the experience of breast cancer through the analysis of the metaphors in the narratives of women with breast cancer. The blogs of two women were selected and processed according to an interpretative phenomenological analysis. This analysis highlights three metaphors in light of which these women seemed to understand their experience: the body as a medical battlefield, the fragmented body, and the cancer journey. These findings underline the violent changes in the boundaries of the body and the subject that can occur during cancer treatment, as well as the need to integrate… More >

Shen Guo^*, Wanxing Sheng, Shuaitao Bai, Jichuan Zhang, Peng Wang

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 799-814, 2023, DOI:10.32604/iasc.2023.038330

Abstract With the full development of disk-resident databases (DRDB) in recent years, it is widely used in business and transactional applications. In long-term use, some problems of disk databases are gradually exposed. For applications with high real-time requirements, the performance of using disk database is not satisfactory. In the context of the booming development of the Internet of things, domestic real-time databases have also gradually developed. Still, most of them only support the storage, processing, and analysis of data values with fewer data types, which can not fully meet the current industrial process control system data types, complex sources, fast update… More >

Ebu Yusuf GÜVEN, Zeynep GÜRKAŞ-AYDIN^*

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 419-437, 2023, DOI:10.32604/iasc.2023.038043

Abstract The Internet of Things (IoT) has aided in the development of new products and services. Due to the heterogeneity of IoT items and networks, traditional techniques cannot identify network risks. Rule-based solutions make it challenging to secure and manage IoT devices and services due to their diversity. While the use of artificial intelligence eliminates the need to define rules, the training and retraining processes require additional processing power. This study proposes a methodology for analyzing constrained devices in IoT environments. We examined the relationship between different sized samples from the Kitsune dataset to simulate the Mirai attack on IoT devices.… More >

Suhang Li¹, Yunzuo Zhang^1,*, Ruixue Liu², Jiayu Zhang¹, Zhouchen Song¹, Yutai Wang¹

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1163-1180, 2023, DOI:10.32604/iasc.2023.037902

Abstract The communication system of high-speed trains in railway tunnels needs to be built with leaky cables fixed on the tunnel wall with special fixtures. To ensure safety, checking the regular leaky cable fixture is necessary to eliminate the potential danger. At present, the existing fixture detection algorithms are difficult to take into account detection accuracy and speed at the same time. The faulty fixture is also insufficient and difficult to obtain, seriously affecting the model detection effect. To solve these problems, an innovative detection method is proposed in this paper. Firstly, we presented the Res-Net and Wasserstein-Deep Convolution GAN (RW-DCGAN)… More >

Vaishnavi Jayaraman¹, Arun Raj Lakshminarayanan^1,*, Saravanan Parthasarathy¹, A. Suganthy²

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 301-320, 2023, DOI:10.32604/iasc.2023.037823

Abstract Waste production rises in tandem with population growth and increased utilization. The indecorous disposal of waste paves the way for huge disaster named as climate change. The National Environment Agency (NEA) of Singapore oversees the sustainable management of waste across the country. The three main contributors to the solid waste of Singapore are paper and cardboard (P&C), plastic, and food scraps. Besides, they have a negligible rate of recycling. In this study, Machine Learning techniques were utilized to forecast the amount of garbage also known as waste audits. The waste audit would aid the authorities to plan their waste infrastructure.… More >

Wei Sun¹, Zhanhe Du^2,*

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1181-1195, 2023, DOI:10.32604/iasc.2023.037497

Abstract Currently, it is difficult to extract the depth feature of the frontal emergency stops dangerous activity signal, which leads to a decline in the accuracy and efficiency of the frontal emergency stops the dangerous activity. Therefore, a recognition for frontal emergency stops dangerous activity algorithm based on Nano Internet of Things Sensor (NIoTS) and transfer learning is proposed. First, the NIoTS is installed in the athlete’s leg muscles to collect activity signals. Second, the noise component in the activity signal is removed using the de-noising method based on mathematical morphology. Finally, the depth feature of the activity signal is extracted… More >