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  • Open Access

    REVIEW

    Process for Developing a Quality of Life Assessment Strategy in Advanced Pediatric Cancer

    Processus pour le développement d’une stratégie d’évaluation de la qualité de vie en cancer avancé pédiatrique

    Lye-Ann Robichaud1,2,3, Marianne Olivier-D’Avignon4, Julie Felipe1, Hermann Ferdinand Thomas Ehrenfeld1,2,3, Marc-Antoine Marquis5,6, Bruno Michon7,8, Émélie Rondeau2,3, Mathias Tyo-Gomez9, Michel Duval5,10, Serge Sultan1,2,3,5,10,*

    Psycho-Oncologie, Vol., , DOI:10.32604/po.2024.046496

    Abstract In pediatric advanced cancer, i.e., when cancer-targeted treatments are not effective, care provided to patients is of palliative nature. It aims at limiting symptoms and optimizing quality of life (QoL). To orient care, it is necessary to know and measure what is really important for young people. Unfortunately, tools are still scarce in this context. The aim of this paper is to describe the development process of a new QoL assessment method, the Advance QoL program. This is specifically designed for the clinical context of pediatric advanced cancer. Three previous studies carried out by our team identified seven important QoL… More >

  • Open Access

    ARTICLE

    Test Case Generation Evaluator for the Implementation of Test Case Generation Algorithms Based on Learning to Rank

    Zhonghao Guo*, Xinyue Xu, Xiangxian Chen

    Computer Systems Science and Engineering, Vol., , DOI:10.32604/csse.2023.043932

    Abstract In software testing, the quality of test cases is crucial, but manual generation is time-consuming. Various automatic test case generation methods exist, requiring careful selection based on program features. Current evaluation methods compare a limited set of metrics, which does not support a larger number of metrics or consider the relative importance of each metric to the final assessment. To address this, we propose an evaluation tool, the Test Case Generation Evaluator (TCGE), based on the learning to rank (L2R) algorithm. Unlike previous approaches, our method comprehensively evaluates algorithms by considering multiple metrics, resulting in a more reasoned assessment. The… More >

  • Open Access

    ARTICLE

    Identification of Secondary Metabolites in Tunisian Tilia platyphyllos Scop. using MALDI-TOF and GC-MS

    Ayda Khadhri1, Mohamed Mendili1, Marwa Bannour-Scharinger1, Eric Masson2, Antonio Pizzi2,*

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2024.046950

    Abstract This study is the first to evaluate the phytochemical content and biological properties of Tunisian T. platyphyllos Scop. A total of 23 compounds of essential oils were identified by gas chromatography-mass spectrometry (GC-MS) analysis of bracts and fruit extracts. The results show that oxygenated monoterpenes were the dominant class of essential oils. The phenolic composition was investigated by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF). The analysis showed that the chemical profiles of the ethanolic extracts of bracts and fruits are substantially similar. The highest polyphenol content was found in the ethanolic extracts of the fruits (7.65 mg gallic acid equivalents… More > Graphic Abstract

    Identification of Secondary Metabolites in Tunisian <i>Tilia platyphyllos</i> Scop. using MALDI-TOF and GC-MS

  • Open Access

    ARTICLE

    Characterization and Selection of Microcrystalline Cellulose from Oil Palm Empty Fruit Bunches for Strengthening Hydrogel Films

    Susi Susi1,2,*, Makhmudun Ainuri3,*, Wagiman Wagiman3, Mohammad Affan Fajar Falah3

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2024.045586

    Abstract Microcrystalline cellulose (MCC) is one of the cellulose derivatives produced as a result of the depolymerization of a part of cellulose to achieve high crystallinity. When implemented in other polymers, high crystallinity correlates with greater strength and stiffnes, but it can reduce the water-holding capacity. The acid concentration and hydrolysis time will affect the acquisition of crystallinity and water absorption capacity, both of which have significance as properties of hydrogel filler. The study aimed to evaluate the properties and select the MCC generated from varying the proportion of hydrochloric acid (HCl) and the appropriate hydrolysis time as a filler for… More > Graphic Abstract

    Characterization and Selection of Microcrystalline Cellulose from Oil Palm Empty Fruit Bunches for Strengthening Hydrogel Films

  • Open Access

    ARTICLE

    Dynamics of Low-Viscosity Liquids Interface in an Unevenly Rotating Vertical Layer

    Victor Kozlov1,*, Vladimir Saidakov1, Nikolai Kozlov2

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2024.048068

    Abstract The behavior of two immiscible low-viscosity liquids differing in density and viscosity in a vertical flat layer undergoing modulated rotation is experimentally studied. The layer has a circular axisymmetric boundary. In the absence of modulation of the rotation speed, the interphase boundary has the shape of a short axisymmetric cylinder. A new effect has been discovered, under the influence of rotation speed modulation, the interface takes on a new dynamic equilibrium state. A more viscous liquid covers the end boundaries of the layer in the form of thin films, which have the shape of round spots of almost constant radius;… More >

  • Open Access

    ARTICLE

    IR-YOLO: Real-Time Infrared Vehicle and Pedestrian Detection

    Xiao Luo1,3, Hao Zhu1,2,*, Zhenli Zhang1,2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047988

    Abstract Road traffic safety can decrease when drivers drive in a low-visibility environment. The application of visual perception technology to detect vehicles and pedestrians in infrared images proves to be an effective means of reducing the risk of accidents. To tackle the challenges posed by the low recognition accuracy and the substantial computational burden associated with current infrared pedestrian-vehicle detection methods, an infrared pedestrian-vehicle detection method A proposal is presented, based on an enhanced version of You Only Look Once version 5 (YOLOv5). First, A head specifically designed for detecting small targets has been integrated into the model to make full… More >

  • Open Access

    ARTICLE

    A Machine Learning Approach to User Profiling for Data Annotation of Online Behavior

    Moona Kanwal1,2,*, Najeed A. Khan1, Aftab A. Khan3

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047223

    Abstract The user’s intent to seek online information has been an active area of research in user profiling. User profiling considers user characteristics, behaviors, activities, and preferences to sketch user intentions, interests, and motivations. Determining user characteristics can help capture implicit and explicit preferences and intentions for effective user-centric and customized content presentation. The user’s complete online experience in seeking information is a blend of activities such as searching, verifying, and sharing it on social platforms. However, a combination of multiple behaviors in profiling users has yet to be considered. This research takes a novel approach and explores user intent types… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Secure Transmission Strategy with Sensor-Transmission-Computing Linkage for Power Internet of Things

    Bin Li*, Linghui Kong, Xiangyi Zhang, Bochuo Kou, Hui Yu, Bowen Liu

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2024.047193

    Abstract The automatic collection of power grid situation information, along with real-time multimedia interaction between the front and back ends during the accident handling process, has generated a massive amount of power grid data. While wireless communication offers a convenient channel for grid terminal access and data transmission, it is important to note that the bandwidth of wireless communication is limited. Additionally, the broadcast nature of wireless transmission raises concerns about the potential for unauthorized eavesdropping during data transmission. To address these challenges and achieve reliable, secure, and real-time transmission of power grid data, an intelligent security transmission strategy with sensor-transmission-computing… More >

  • Open Access

    ARTICLE

    Privacy-Preserving Multi-Keyword Fuzzy Adjacency Search Strategy for Encrypted Graph in Cloud Environment

    Bin Wu1,2, Xianyi Chen3, Jinzhou Huang4,*, Caicai Zhang5, Jing Wang6, Jing Yu1,2, Zhiqiang Zhao7, Zhuolin Mei1,2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.047147

    Abstract In a cloud environment, outsourced graph data is widely used in companies, enterprises, medical institutions, and so on. Data owners and users can save costs and improve efficiency by storing large amounts of graph data on cloud servers. Servers on cloud platforms usually have some subjective or objective attacks, which make the outsourced graph data in an insecure state. The issue of privacy data protection has become an important obstacle to data sharing and usage. How to query outsourcing graph data safely and effectively has become the focus of research. Adjacency query is a basic and frequently used operation in… More >

  • Open Access

    ARTICLE

    A Hybrid Machine Learning Approach for Improvised QoE in Video Services over 5G Wireless Networks

    K. B. Ajeyprasaath, P. Vetrivelan*

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.046911

    Abstract Video streaming applications have grown considerably in recent years. As a result, this becomes one of the most significant contributors to global internet traffic. According to recent studies, the telecommunications industry loses millions of dollars due to poor video Quality of Experience (QoE) for users. Among the standard proposals for standardizing the quality of video streaming over internet service providers (ISPs) is the Mean Opinion Score (MOS). However, the accurate finding of QoE by MOS is subjective and laborious, and it varies depending on the user. A fully automated data analytics framework is required to reduce the inter-operator variability characteristic… More >

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