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Search Results (17)
  • Open Access

    REVIEW

    Opportunities and challenges of CD47-targeted therapy in cancer immunotherapy

    QIUQIANG CHEN1,*, XUEJUN GUO2, WENXUE MA3,*

    Oncology Research, Vol.32, No.1, pp. 49-60, 2024, DOI:10.32604/or.2023.042383

    Abstract Cancer immunotherapy has emerged as a promising strategy for the treatment of cancer, with the tumor microenvironment (TME) playing a pivotal role in modulating the immune response. CD47, a cell surface protein, has been identified as a crucial regulator of the TME and a potential therapeutic target for cancer therapy. However, the precise functions and implications of CD47 in the TME during immunotherapy for cancer patients remain incompletely understood. This comprehensive review aims to provide an overview of CD47’s multifaced role in TME regulation and immune evasion, elucidating its impact on various types of immunotherapy outcomes, including checkpoint inhibitors and… More > Graphic Abstract

    Opportunities and challenges of CD47-targeted therapy in cancer immunotherapy

  • Open Access

    ARTICLE

    Recapitulation Web 3.0: Architecture, Features and Technologies, Opportunities and Challenges

    Amtul Waheed, Bhawna Dhupia*, Sultan Mesfer Aldossary

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 1609-1620, 2023, DOI:10.32604/iasc.2023.037539

    Abstract Tim Berners-Lee developed the internet at CERN in early 1990 with fundamental technologies such as HTML, URL, and HTTP which became the foundation of the web. The contemporary web we use today has been much advanced over a period of time ever since the innovation of the World Wide Web was introduced. The static web was the first version of the web, which was the read-only web. Succeeding development in web technology is web 3.0 which is a distributed and decentralized web with emerging technologies. This article emphasizes the comparison of important details with the evolution of the web. The… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Swot Analysis in Construction and Demolition Waste Management

    R. Rema*, N. Nalanth

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1497-1506, 2023, DOI:10.32604/iasc.2023.032540

    Abstract Researchers worldwide have employed a varied array of sources to calculate the successful management of Construction and Demolition (C&DW). Limited research has been undertaken in the domain of Construction and Demolition Waste Management (C&DWM) and consequently leaving a large gap in the availability of effective management techniques. Due to the limited time available for building removal and materials collection, preparing for building materials reuse at the end of life is frequently a challenging task. In this research work Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) is proposed to predict the number of waste materials that are obtained from a building at… More >

  • Open Access

    ARTICLE

    Internet of Cultural Things: Current Research, Challenges and Opportunities

    Xiaoting Liang1, Fang Liu1,*, Linqi Wang1, Baoying Zheng1, Yiyuan Sun2

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 469-488, 2023, DOI:10.32604/cmc.2023.029641

    Abstract Driven by the visions of the Internet of Things (IoT), Artificial Intelligence (AI), and 5G communications, the Internet of Cultural Things (IoCT) realize the comprehensive interconnection among cultural products, cultural services, cultural resources, and cultural platforms, bringing individuals with richer humanistic experience, increasing economic benefits for the cultural sector, and promoting the development of cultural heritage protection and education. At present, IoCT has received widespread attention in both industry and academia. To explore new research opportunities and assist users in constructing suitable IoCT systems for specific applications, this survey provides a comprehensive overview of the IoCT components and key technologies.… More >

  • Open Access

    REVIEW

    Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

    Liang Luo1, Xingmei Li1, Kaijiang Yang1, Mengyang Wei1, Jiong Chen1, Junqian Yang1, Liang Yao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 1565-1595, 2023, DOI:10.32604/cmes.2022.021198

    Abstract The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry. However, with the convergence and increase in power data flow, the data dispatching network and the main station dispatching automation system have encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss unresolved research issues and outline future directions in this… More >

  • Open Access

    REVIEW

    A Literature Review on Sustainability of Bio-Based and Biodegradable Plastics: Challenges and Opportunities

    Taofeeq D. Moshood, Gusman Nawanir, Fatimah Mahmud*, Fazeeda Mohamad, Mohd Hanafiah Ahmad, Airin AbdulGhani

    Energy Engineering, Vol.119, No.4, pp. 1611-1647, 2022, DOI:10.32604/ee.2022.019028

    Abstract This study examines the literature on bio-based and biodegradable plastics published between 2000 and 2021 and provides insights and research suggestions for the future. The study gathers data from the Scopus and ISI Web of Science databases, then picks 1042 publications objectively and analyses their metadata. Furthermore, 144 papers from the Web of Science are analysed to present insights and classifications of the literature based on content analyses, including assessment/evaluation of the sustainability of bio-based and biodegradable Plastics, sustainability of biodegradable Plastics, and factors driving the uptake of biodegradable plastics. The study finds that most research on bio-based and biodegradable… More >

  • Open Access

    REVIEW

    Opportunities and Challenges of Plant Bioactive Compounds for Food and Agricultural-Related Areas

    Maicon S. N. dos Santos1, João H. C. Wancura2, Carolina E. D. Oro3, Rogério M. Dallago3, Marcus V. Tres1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1105-1127, 2022, DOI:10.32604/phyton.2022.020913

    Abstract The growing development of biological products highlights the social and environmental responsibility that several industrial companies are facing in recent years. In this context, the advancement of bioprocessing as an alternative for exploring the potential of ecologically based products, especially in biofuels, food, and agro-industrial business, exposes the rational efficiency of the application of renewable sources in different industrial segments. Industries strongly associated with food production concentrate large amounts of wastes rich in bioactive compounds. A range of highly effective technologies has been highly explored to recover large concentrations of prominent compounds present in these materials. The advances in this… More >

  • Open Access

    ARTICLE

    Lowest-Opportunities User First-Based Subcarrier Allocation Algorithm for Downlink NOMA Systems

    Mohammed Abd-Elnaby*, Sameer Alsharif, Hesham Alhumyani, Fahad Alraddady

    Intelligent Automation & Soft Computing, Vol.30, No.3, pp. 1033-1048, 2021, DOI:10.32604/iasc.2021.019341

    Abstract Non-orthogonal multiple access (NOMA) is one of the promising 5G technologies to improve spectral efficiency massive connectivity and cell-edge throughput. The performance of NOMA systems mainly depends on the efficiency of the subcarrier allocation algorithm. This paper aims to jointly optimize spectral efficiency (SE), outage probability, and fairness among users with respect to the subcarrier allocation for downlink NOMA systems. We propose a low-complexity greedy-based subcarrier allocation algorithm based on the lowest-opportunities user’s first precept. This precept is based on computing the number of opportunities for each user to select a subcarrier with good channel gain by counting the number… More >

  • Open Access

    ARTICLE

    NVM Storage in IoT Devices: Opportunities and Challenges

    Yang Liu1, Shan Zhao1,*, Wenhan Chen1, Xuran Ge1, Fang Liu2, Shuo Li3, Nong Xiao1

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 393-409, 2021, DOI:10.32604/csse.2021.017224

    Abstract Edge storage stores the data directly at the data collection point, and does not need to transmit the collected data to the storage central server through the network. It is a critical technology that supports applications such as edge computing and 5G network applications, with lower network communication overhead, lower interaction delay and lower bandwidth cost. However, with the explosion of data and higher real-time requirements, the traditional Internet of Things (IoT) storage architecture cannot meet the requirements of low latency and large capacity. Non-volatile memory (NVM) presents new possibilities regarding this aspect. This paper classifies the different storage architectures… More >

  • Open Access

    REVIEW

    A Review on the Evaporation Dynamics of Sessile Drops of Binary Mixtures: Challenges and Opportunities

    Pradeep Gurrala1, Saravanan Balusamy1, Sayak Banerjee1, Kirti Chandra Sahu2,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.2, pp. 253-284, 2021, DOI:10.32604/fdmp.2021.014126

    Abstract The wetting and evaporation dynamics of sessile droplets have gained considerable attention over the last few years due to their relevance to many practical applications, ranging from a variety of industrial problems to several biological systems. Droplets made of binary mixtures typically undergo complex dynamics due to the differential volatility of the considered components and the ensuing presence of thermocapillary effects. For these reasons, many research groups have focused on the evaporation of binary droplets using a variegated set of experimental, numerical, and purely theoretical approaches. Apart from reviewing the state-of-the-art about the existing experimental, analytical, and computational techniques used… More >

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