Afonso R. G. de Azevedo^1,*, Marcelo Nascimento², Dirlane do Carmo³, Markssuel T. Marvila⁴, Gustavo de C. Xavier¹, Sergio Neves Monteiro⁴

Journal of Renewable Materials, Vol.10, No.9, pp. 2409-2429, 2022, DOI:10.32604/jrm.2022.020503 - 30 May 2022

Abstract The use of natural lignocellulosic fibers (NLFs) as a reinforcement mechanism for cementitious composites, such as mortar, has been investigated in the last decades. However, their application has often been restricted to technological evaluation research. A NLF with great potential the curaua, which after treatment with NaOH solution, proved to be technologically feasible for mortars reinforcement based on cement and lime. The objective of this research was the comparative evaluation between a traditional mortar, based on cement and lime, with 1:1:6:0.8 ratio of cement: lime: sand: water, and a modified mortar with addition of 2… More >

Jiasen Wu¹, Genping Tong², Rui Guo², Zihao Ye¹, Jin Jin¹, Haiping Lin^1,3,*

Phyton-International Journal of Experimental Botany, Vol.91, No.10, pp. 2211-2220, 2022, DOI:10.32604/phyton.2022.021382 - 30 May 2022

Abstract Metasequoia glyptostroboides (M. glyptostroboides) is a unique plant species related to relic flora in China. It plays a positive role in afforestation and its long-term protection with high paleoclimate research value. However, due to the nutrients-supply deficiency, it is a big challenge to cultivate the high-quality seedlings of M. glyptostroboides. In this study, a pot experiment in a greenhouse environment was carried out to identify the effect of N-exponential fertilization on the growth and nutrient distribution of M. glyptostroboides seedling. The M. glyptostroboides rooted seedlings with 12-month growth were chosen. Different N fertilizer levels with conventional fertilization (CF: 5.0 g seedling⁻¹),… More >

J. Praveenchandar^1,*, A. Tamilarasi²

Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1839-1850, 2022, DOI:10.32604/iasc.2022.026354 - 25 May 2022

Abstract Cloud computing is one of the emerging technology; it provides various services like Software as a Service, Platform as a Service, and Infrastructure as a Service on demand. It reduces the cost of traditional computing by renting the resources instead of buying them for a huge cost. The usage of cloud resources is increasing day by day. Due to the heavy workload, all users cannot get uninterrupted service at some time. And the response time of some users also gets increased. Resource allocation is one of the primary issues of a cloud environment, one of… More >

Minkyung Lee¹, Julian Jang-Jaccard², Jin Kwak^3,*

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 199-223, 2022, DOI:10.32604/cmc.2022.028495 - 18 May 2022

Abstract New technologies that take advantage of the emergence of massive Internet of Things (IoT) and a hyper-connected network environment have rapidly increased in recent years. These technologies are used in diverse environments, such as smart factories, digital healthcare, and smart grids, with increased security concerns. We intend to operate Security Orchestration, Automation and Response (SOAR) in various environments through new concept definitions as the need to detect and respond automatically to rapidly increasing security incidents without the intervention of security personnel has emerged. To facilitate the understanding of the security concern involved in this newly… More >

Krishan Kumar^1,*, Mohamed Abouhawwash^2,3, Amit Kant Pandit¹, Shubham Mahajan¹, Mofreh A. Hogo⁴

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1977-1993, 2022, DOI:10.32604/cmc.2022.027850 - 18 May 2022

Abstract The high-efficiency video coder (HEVC) is one of the most advanced techniques used in growing real-time multimedia applications today. However, they require large bandwidth for transmission through bandwidth, and bandwidth varies with different video sequences/formats. This paper proposes an adaptive information-based variable quantization matrix (AI-VQM) developed for different video formats having variable energy levels. The quantization method is adapted based on video sequence using statistical analysis, improving bit budget, quality and complexity reduction. Further, to have precise control over bit rate and quality, a multi-constraint prune algorithm is proposed in the second stage of the… More >

Haya Mesfer Alshahrani¹, Faisal S. Alsubaei², Taiseer Abdalla Elfadil Eisa³, Mohamed K. Nour⁴, Manar Ahmed Hamza^5,*, Abdelwahed Motwakel⁵, Abu Sarwar Zamani⁵, Ishfaq Yaseen⁵

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 1557-1570, 2022, DOI:10.32604/cmc.2022.027135 - 18 May 2022

Abstract The increasing quantity of sensitive and personal data being gathered by data controllers has raised the security needs in the cloud environment. Cloud computing (CC) is used for storing as well as processing data. Therefore, security becomes important as the CC handles massive quantity of outsourced, and unprotected sensitive data for public access. This study introduces a novel chaotic chimp optimization with machine learning enabled information security (CCOML-IS) technique on cloud environment. The proposed CCOML-IS technique aims to accomplish maximum security in the CC environment by the identification of intrusions or anomalies in the network.… More >

Kun-Lin Tsai^1,2,*, Li-Woei Chen³, Fang-Yie Leu^4,5, Chuan-Tian Wu¹

CMC-Computers, Materials & Continua, Vol.73, No.1, pp. 547-562, 2022, DOI:10.32604/cmc.2022.026557 - 18 May 2022

Abstract Secure data communication is an essential requirement for an Internet of Things (IoT) system. Especially in Industrial Internet of Things (IIoT) and Internet of Medical Things (IoMT) systems, when important data are hacked, it may induce property loss or life hazard. Even though many IoT-related communication protocols are equipped with secure policies, they still have some security weaknesses in their IoT systems. LoRaWAN is one of the low power wide-area network protocols, and it adopts Advanced Encryption Standard (AES) to provide message integrity and confidentiality. However, LoRaWAN's encryption key update scheme can be further improved.… More >

NOUR HIJAZI, DON C. ROCKEY^*, ZENGDUN SHI^*

BIOCELL, Vol.46, No.9, pp. 2003-2007, 2022, DOI:10.32604/biocell.2022.020171 - 18 May 2022

Abstract Hepatic stellate cells (HSCs) are the primary effector cells in liver fibrosis. In the normal liver, HSCs serve as the primary vitamin A storage cells in the body and retain a “quiescent” phenotype. However, after liver injury, they transdifferentiate to an “activated” myofibroblast-like phenotype, which is associated with dramatic upregulation of smooth muscle specific actin and extracellular matrix proteins. The result is a fibrotic, stiff, and dysfunctional liver. Therefore, understanding the molecular mechanisms that govern HSC function is essential for the development of anti-fibrotic medications. The actin cytoskeleton has emerged as a key component of More >

Anwar D. Alhejaili^*, Omar H. Alhazmi

Journal on Internet of Things, Vol.4, No.1, pp. 21-33, 2022, DOI:10.32604/jiot.2022.019893 - 16 May 2022

Abstract Internet of things (IoT) is used in various fields such as smart cities, smart home, manufacturing industries, and healthcare. Its application in healthcare has many advantages and disadvantages. One of its most common protocols is Message Queue Telemetry Transport (MQTT). MQTT protocol works as a publisher/subscriber which is suitable for IoT devices with limited power. One of the drawbacks of MQTT is that it is easy to manipulate. The default security provided by MQTT during user authentication, through username and password, does not provide any type of data encryption, to ensure confidentiality or integrity. This… More >

Liang Xie^1,2,5, Peihao Peng^1,*, Haijun Wang^1,3, Shengbin Chen⁴

Phyton-International Journal of Experimental Botany, Vol.91, No.9, pp. 2069-2086, 2022, DOI:10.32604/phyton.2022.018807 - 13 May 2022

Abstract Identifying the ecological environment suitable for the growth of Thuja sutchuenensis and predicting other potential distribution areas are essential to protect this endangered species. After selecting 24 environmental factors that could affect the distribution of T. sutchuenensis, including climate, topography, soil and Normalized Difference Vegetation Index (NDVI), we adopted the Random Forest-MaxEnt integrated model to analyze our data. Based on the Random Forest study, the contribution of the mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual mean temperature and mean temperature of the driest quarter was large. Based on MaxEnt model prediction… More >