C. Defer, M.-S. Bernatchez

Psycho-Oncologie, Vol.16, No.1, pp. 212-217, 2022, DOI:10.3166/pson-2022-0184

Abstract In the face of cancer and at the end of life, emotional distress is common and is increasingly recognized, resulting in a significant number of requests for consultation with our specialized psychological services. The authors present a reflection on the various factors that guide their interventions with oncology and palliative care patients in a hospital setting. The challenge is to offer the right care at the right time to all patients and their loved ones who need it. The treatment plan will be adjusted according to the severity and the nature of the distress, the need to intervene within a… More >

Johan Desbonnet¹ , Françoise Gourmelon¹, Christophe Claramunt²

Revue Internationale de Géomatique, Vol.29, No.1, pp. 57-80, 2019, DOI:10.3166/rig.2019.00079

Abstract In the context of shoreline management and monitoring issues, inferring information and knowledge from the Web are considered as a crucial issue. However, Spatial Data Infrastructures promoters’ strategies and content are still unknown. This article presents a methodological approach to study the technical possibilities of access to the digital geographic information on online platforms often used for shoreline management and monitoring in France. Geographical data access on such platforms is granted by the presence of hyperlinks and Geospatial Web services. The analysis of this structural components (hyperlinks and Web services) shows a disparate situation for the access to geographical information.… More >

L. Amaadour, I. Lahrch, O. Siyouri, K. Oualla, Z. Benbrahim, S. Arifi, C. Aarab, S. El Fakir, N. Mellas

Psycho-Oncologie, Vol.17, No.1, pp. 38-43, 2023, DOI:10.3166/pson-2022-0221

Abstract Background: The Covid-19 disease is a cause for several mental alterations mainly in cancer patients who are already categorized as a vulnerable population.
Aim: The objective of this study is to characterize psychological disorders caused by Covid-19 infection among cancer patients on systemic treatment.
Methods: It is a cross-sectional study performed at the Department of Medical Oncology of Hassan-II University Hospital of Fez, Morocco, during a period of four months (peak of the pandemic). Symptoms of anxiety/depression and post-traumatic stress disorder in patients were screened using HADS (Hospital Anxiety and Depression Scale) and PCL-5 (post-traumatic stress disorder checklist version DSM-5)… More >

Jixun Gao^1,2, Bingyi Hu², Jialei Liu^3,4,*, Huaichen Wang⁵, Quanzhen Huang¹, Yuanyuan Zhao⁶

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1-16, 2023, DOI:10.32604/iasc.2023.036890

Abstract Mobile Edge Computing (MEC) is proposed to solve the needs of Internet of Things (IoT) users for high resource utilization, high reliability and low latency of service requests. However, the backup virtual machine is idle when its primary virtual machine is running normally, which will waste resources. Overbooking the backup virtual machine under the above circumstances can effectively improve resource utilization. First, these virtual machines are deployed into slots randomly, and then some tasks with cooperative relationship are offloaded to virtual machines for processing. Different deployment locations have different resource utilization and average service response time. We want to find… More >

Yogesh Kumar^1,*, Jitender Kumar¹, Poonam Sheoran²

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 5785-5800, 2023, DOI:10.32604/cmc.2023.039276

Abstract On-demand availability and resource elasticity features of Cloud computing have attracted the focus of various research domains. Mobile cloud computing is one of these domains where complex computation tasks are offloaded to the cloud resources to augment mobile devices’ cognitive capacity. However, the flexible provisioning of cloud resources is hindered by uncertain offloading workloads and significant setup time of cloud virtual machines (VMs). Furthermore, any delays at the cloud end would further aggravate the miseries of real-time tasks. To resolve these issues, this paper proposes an auto-scaling framework (ACF) that strives to maintain the quality of service (QoS) for the… More >

Sophea Horng, Pisal Yenradee^*

CMC-Computers, Materials & Continua, Vol.75, No.3, pp. 6119-6143, 2023, DOI:10.32604/cmc.2023.038764

Abstract This paper proposes a Delivery Service Management (DSM) system for Small and Medium Enterprises (SMEs) that own a delivery fleet of pickup trucks to manage Business-to-Business (B2B) delivery services. The proposed DSM system integrates four systems: Delivery Location Positioning (DLP), Delivery Route Planning (DRP), Arrival Time Prediction (ATP), and Communication and Data Sharing (CDS) systems. These systems are used to pinpoint the delivery locations of customers, plan the delivery route of each truck, predict arrival time (with an interval) at each delivery location, and communicate and share information among stakeholders, respectively. The DSM system deploys Google applications, a GPS tracking… More >

Abeera Ilyas^1,*, Saeed Mahfooz¹, Zahid Mehmood^2,3, Gauhar Ali⁴, Muhammad ElAffendi⁴

Computer Systems Science and Engineering, Vol.46, No.3, pp. 3815-3829, 2023, DOI:10.32604/csse.2023.036316

Abstract Health monitoring systems are now required, particularly for essential patients, following the COVID-19 pandemic, which was followed by its variants and other epidemics of a similar nature. Effective procedures and strategies are required, though, to react promptly to the enormous volume of real-time data offered by monitoring equipment. Although fog-based designs for IoT health systems typically result in enhanced services, they also give rise to issues that need to be resolved. In this paper, we propose a two-way strategy to reduce network latency and use while increasing real-time data transmission of device gateways used for sensors by making educated judgments… More >

S. Dheenathayalan^*, B. Paramasivan

Computer Systems Science and Engineering, Vol.46, No.3, pp. 2845-2859, 2023, DOI:10.32604/csse.2023.033326

Abstract As the use of mobile devices continues to rise, trust administration will significantly improve security in routing the guaranteed quality of service (QoS) supply in Mobile Ad Hoc Networks (MANET) due to the mobility of the nodes. There is no continuance of network communication between nodes in a delay-tolerant network (DTN). DTN is designed to complete recurring connections between nodes. This approach proposes a dynamic source routing protocol (DSR) based on a feed-forward neural network (FFNN) and energy-based random repetition trust calculation in DTN. If another node is looking for a node that swerved off of its path in this… More >

Halyna Bielokha¹, Leonora Chupryna², Sergey Denisyuk¹, Tatiana Eutukhova³, Oleksandr Novoseltsev^2,*

Energy Engineering, Vol.120, No.6, pp. 1307-1323, 2023, DOI:10.32604/ee.2023.025863

Abstract The transition of the global economy to a low-carbon development path has led to dramatic changes in the organization and functioning of energy markets around the world, where hybrid energy systems (HESs) are one of the decisive active agents. At the same time, a number of problems facing the modern HESs are primarily due to the stochastic nature of the renewable energy they use, require further profound changes not only in the technologies they use and how they manage them, necessary to meet the needs of end consumers and interact with the unified energy system, but also to preserve the… More >

Chunzhi Wang, Weidong Cao^*, Yalin Hu, Jinhang Liu

CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4377-4393, 2023, DOI:10.32604/cmc.2023.037625

Abstract According to Cisco’s Internet Report 2020 white paper, there will be 29.3 billion connected devices worldwide by 2023, up from 18.4 billion in 2018. 5G connections will generate nearly three times more traffic than 4G connections. While bringing a boom to the network, it also presents unprecedented challenges in terms of flow forwarding decisions. The path assignment mechanism used in traditional traffic scheduling methods tends to cause local network congestion caused by the concentration of elephant flows, resulting in unbalanced network load and degraded quality of service. Using the centralized control of software-defined networks, this study proposes a data center… More >