Rauany Cristina Lopes¹, Tamires Nossa², Wilton Rogério Lustri¹, Gabriel Lombardo^3,4,5, Maria Inés Errea^3,4, Eliane Trovatti^1,*

Journal of Renewable Materials, Vol.12, No.4, pp. 643-666, 2024, DOI:10.32604/jrm.2024.048957 - 12 June 2024

Abstract Polymers from renewable resources have been used for a long time in biomedical applications and found an irreplaceable role in some of them. Their uses have been increasing because of their attractive properties, contributing to the improvement of life quality, mainly in drug release systems and in regenerative medicine. Formulations using natural polymer, nano and microscale particles preparation, composites, blends and chemical modification strategies have been used to improve their properties for clinical application. Although many studies have been carried out with these natural polymers, the way to reach the market is long and only More >

Eman S. Attia¹, Ashraf A. M. Khalaf¹, Fathi E. Abd El-Samie², Saied M. Abd El-atty^2,*, Konstantinos A. Lizos^3,#, Osama Alfarraj⁴, Heba M. El-Hoseny⁵

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1259-1275, 2024, DOI:10.32604/cmes.2023.028990 - 17 November 2023

Abstract Recently, nano-systems based on molecular communications via diffusion (MCvD) have been implemented in a variety of nanomedical applications, most notably in targeted drug delivery system (TDDS) scenarios. Furthermore, because the MCvD is unreliable and there exists molecular noise and inter symbol interference (ISI), cooperative nano-relays can acquire the reliability for drug delivery to targeted diseased cells, especially if the separation distance between the nano transmitter and nano receiver is increased. In this work, we propose an approach for optimizing the performance of the nano system using cooperative molecular communications with a nano relay scheme, while… More >

AFAF ALHARTHI^*

BIOCELL, Vol.47, No.8, pp. 1743-1755, 2023, DOI:10.32604/biocell.2023.027154 - 28 August 2023

Abstract Natural biomaterials are now frequently used to build biocarrier systems, which can carry medications and biomolecules to a target region and achieve a desired therapeutic effect. Biomaterials and polymers are of great importance in the synthesis of nanomaterials. The recent studies have tended to use these materials because they are easily obtained from natural sources such as fungi, algae, bacteria, and medicinal plants. They are also biodegradable, compatible with neighborhoods, and non-toxic. Natural biomaterials and polymers are chemically changed when they are linked by cross linking agents with other polymers to create scaffolds, matrices, composites, More >

Ali F. Khalifa¹, Eman Badr^1,2,*

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1995-2024, 2023, DOI:10.32604/cmc.2023.035888 - 06 February 2023

Abstract Image segmentation is crucial for various research areas. Many computer vision applications depend on segmenting images to understand the scene, such as autonomous driving, surveillance systems, robotics, and medical imaging. With the recent advances in deep learning (DL) and its confounding results in image segmentation, more attention has been drawn to its use in medical image segmentation. This article introduces a survey of the state-of-the-art deep convolution neural network (CNN) models and mechanisms utilized in image segmentation. First, segmentation models are categorized based on their model architecture and primary working principle. Then, CNN categories are More >

Omojola Awogbemi^1,*, Daramy Vandi Von Kallon¹, Victor Sunday Aigbodion^2,3

Journal of Renewable Materials, Vol.10, No.8, pp. 2217-2246, 2022, DOI:10.32604/jrm.2022.019152 - 25 April 2022

Abstract Chicken eggshell is one of the most common wastes generated from households, restaurants and other food processing outlets. Waste Chicken Eggshells (WCES) also constitutes an environmental nuisance and ends up discarded at dumping site with no consideration of further usage. The main constituent of WCES is calcium carbonate from which calcium or calcium oxide can be extracted for various applications. This current effort reviews recently published literature on the diverse applications of WCES. The considered utilization avenues include catalysts for biofuel production, construction industry, wastewater purification, industrial sector, food industry, medical, and agricultural applications. The… More > Graphic Abstract

Esam A. AlQaralleh¹, Halah Nassif², Bassam A. Y. Alqaralleh^2,*

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5477-5490, 2022, DOI:10.32604/cmc.2022.024364 - 14 January 2022

Abstract Tongue diagnosis is a novel and non-invasive approach commonly employed to carry out the supplementary diagnosis over the globe. Recently, several deep learning (DL) based tongue color image analysis models have existed in the literature for the effective detection of diseases. This paper presents a fusion of handcrafted with deep features based tongue color image analysis (FHDF-TCIA) technique to biomedical applications. The proposed FDHF-TCIA technique aims to investigate the tongue images using fusion model, and thereby determines the existence of disease. Primarily, the FHDF-TCIA technique comprises Gaussian filtering based preprocessing to eradicate the noise. The More >

Mahmoud Ragab^1,2, Ali Algarni³, Adel A. Bahaddad⁴, Romany F. Mansour^5,*

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2277-2294, 2021, DOI:10.32604/cmc.2021.018000 - 21 July 2021

Abstract Physical health plays an important role in overall well-being of the human beings. It is the most observed dimension of health among others such as social, intellectual, emotional, spiritual and environmental dimensions. Due to exponential increase in the development of wireless communication techniques, Internet of Things (IoT) has effectively penetrated different aspects of human lives. Healthcare is one of the dynamic domains with ever-growing demands which can be met by IoT applications. IoT can be leveraged through several health service offerings such as remote health and monitoring services, aided living, personalized treatment, and so on.… More >

Rihem Farkh^1,2, Haykel Marouani^1,*, Khaled Al Jaloud¹, Saad Alhuwaimel³, Mohammad Tabrez Quasim⁴, Yasser Fouad¹

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2189-2203, 2021, DOI:10.32604/cmc.2021.015906 - 13 April 2021

Abstract The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a pandemic. This has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods (including medicines) that is needed to prevent infection and treatment for infected patients. The COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a pandemic. The artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many… More >

Peipeng Yu¹, Zhihua Xia^{1, *}, Jianwei Fei¹, Sunil Kumar Jha^{1, 2}

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 743-760, 2020, DOI:10.32604/cmc.2020.011391 - 23 July 2020

Abstract Coronaviruses are a well-known family of viruses that can infect humans or animals. Recently, the new coronavirus (COVID-19) has spread worldwide. All countries in the world are working hard to control the coronavirus disease. However, many countries are faced with a lack of medical equipment and an insufficient number of medical personnel because of the limitations of the medical system, which leads to the mass spread of diseases. As a powerful tool, artificial intelligence (AI) has been successfully applied to solve various complex problems ranging from big data analysis to computer vision. In the process More >

Joaquín E. González-Hernández¹, Jorge M. Cubero-Sesin^1,2*, Elena Ulate-Kolitsky¹, Priscilla Navarro¹, Stephen Petretti¹, Zenji Horita^3,4

Journal of Renewable Materials, Vol.5, No.3-4, pp. 300-306, 2017, DOI:10.7569/JRM.2017.634120

Abstract In this work, a modification of the microstructure of a commercial Ti-6Al-7Nb alloy was accomplished by high-pressure torsion (HPT) at room temperature, to produce a bulk nanostructure on discs of 10 mm diameter and ~0.8 mm thickness. The metallographic analyses of the discs were performed by optical microscopy and scanning electron microscopy with energy dispersive spectroscopy. The results confirmed the presence of aluminum (Al) and niobium (Nb) as the sole alloying elements, promoting a duplex (α + β) titanium (Ti) microstructure prior to HPT processing. After HPT processing, nanostructure refinement was attained, reflected in the More >