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  • Open Access

    PROCEEDINGS

    Theoretical Modeling for Water Permeation Across Multilayer Films of Bioelectronic Systems

    Rui Li1,*, Yonggang Huang2, John A. Rogers2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.4, pp. 1-2, 2024, DOI:10.32604/icces.2024.012578

    Abstract Bioresorbable electronic devices represent an emerging class of technology that involves components which physically disappear, in whole or in part, at prescribed rates and at programmed times [1,2]. Obtaining reliable performance and favorable degradation behavior demands materials that can serve as biofluid barriers in encapsulating structures that avoid premature degradation of active electronic components [3–5]. We have recently presented a multilayer organic–inorganic film design that addresses this need, with properties in water impermeability, mechanical flexibility, and processability that are superior to alternatives [6,7]. Theoretical modeling for water permeation across the multilayer films provides an important More >

  • Open Access

    ARTICLE

    Liver-directed therapies for fibrolamellar carcinoma: A single-center experience

    SAM SON1, AKSHAAR BRAHMBHATT1, KEN ZHAO1, BRETT MARINELLI1, JAMES HARDING2, WILLIAM JARNAGIN3, GHASSAN K. ABOU-ALFA2, HOOMAN YARMOHAMMADI1,*

    Oncology Research, Vol.32, No.12, pp. 1831-1836, 2024, DOI:10.32604/or.2024.052985 - 13 November 2024

    Abstract Background: This article aims to present the single-institution outcomes of patients with Fibrolamellar Carcinoma (FLC) treated with liver-directed therapies (LDT). Methods: In this single-center retrospective study, all patients diagnosed with FLC who underwent LDT were identified. Between July 2012 and July 2023, six patients were identified. One patient was excluded due to bleeding. Demographic and clinical parameters were recorded. Complications within 30 days of the LDT were evaluated. Radiological treatment responses at 1, 6, and 12 months were assessed per mRECIST. Results: A total of five patients, which included three females and two males, were reviewed.… More >

  • Open Access

    ARTICLE

    Using Machine Learning to Determine the Efficacy of Socio-Economic Indicators as Predictors for Flood Risk in London

    Grace Gau1, Minerva Singh2,3,*

    Revue Internationale de Géomatique, Vol.33, pp. 427-443, 2024, DOI:10.32604/rig.2024.055752 - 11 October 2024

    Abstract This study examines how socio-economic characteristics predict flood risk in London, England, using machine learning algorithms. The socio-economic variables considered included race, employment, crime and poverty measures. A stacked generalization (SG) model combines random forest (RF), support vector machine (SVM), and XGBoost. Binary classification issues employ RF as the basis model and SVM as the meta-model. In multiclass classification problems, RF and SVM are base models while XGBoost is meta-model. The study utilizes flood risk labels for London areas and census data to train these models. This study found that SVM performs well in binary… More >

  • Open Access

    REVIEW

    Nigerian Biomass for Bioenergy Applications: A Review on the Potential and Challenges

    Adekunle A. Adeleke1,*, Nzerem Petrus2, Salihu Ayuba2, Asmau M. Yahya2, Peter P. Ikubanni3, Ikechuckwu S. Okafor2, Stephen S. Emmanuel4, Adebayo I. Olosho4, Ademidun A. Adesibikan4

    Journal of Renewable Materials, Vol.11, No.12, pp. 4123-4141, 2023, DOI:10.32604/jrm.2023.043915 - 10 November 2023

    Abstract Nigeria, often referred to as “the giant of Africa,” boasts a sizable population, a thriving economy, and abundant energy resources. Nevertheless, Nigeria has yet to fully harness its renewable energy potential, despite its enormous capacity in this field. The goal of this review paper is to thoroughly examine the difficulties and untapped opportunities in utilizing biomass for bioenergy production in Nigeria. Notably, Nigeria generates substantial volumes of biomass annually, primarily in the form of agricultural waste, which is often either discarded or burned inefficiently, resulting in significant ecological and environmental damage. Therefore, an efficient approach… More > Graphic Abstract

    Nigerian Biomass for Bioenergy Applications: A Review on the Potential and Challenges

  • Open Access

    ARTICLE

    A Time-Varying Parameter Estimation Method for Physiological Models Based on Physical Information Neural Networks

    Jiepeng Yao1,2, Zhanjia Peng1,2, Jingjing Liu1,2, Chengxiao Fan1,2, Zhongyi Wang1,2,3, Lan Huang1,2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2243-2265, 2023, DOI:10.32604/cmes.2023.028101 - 03 August 2023

    Abstract In the establishment of differential equations, the determination of time-varying parameters is a difficult problem, especially for equations related to life activities. Thus, we propose a new framework named BioE-PINN based on a physical information neural network that successfully obtains the time-varying parameters of differential equations. In the proposed framework, the learnable factors and scale parameters are used to implement adaptive activation functions, and hard constraints and loss function weights are skillfully added to the neural network output to speed up the training convergence and improve the accuracy of physical information neural networks. In this… More >

  • Open Access

    ARTICLE

    Experimental Study of Microalgae Cultivation under Selective Illumination by Ag/CoSO4 for Bioelectrode Materials Preparation

    Kai Zhu1, Hao Chen1,*, Shuang Wang1,*, Chuan Yuan1,2, Bin Cao3, Jun Ni1, Lujiang Xu4, Anqing Zheng5, Arman Amani Babadi1

    Journal of Renewable Materials, Vol.11, No.6, pp. 2849-2864, 2023, DOI:10.32604/jrm.2023.026317 - 27 April 2023

    Abstract Microalgae biomass is an ideal precursor to prepare renewable carbon materials, which has broad application. The bioaccumulation efficiency (lipids, proteins, carbohydrates) and biomass productivity of microalgae are influenced by spectroscopy during the culture process. In this study, a bilayer plate-type photobioreactor was designed to cultivate Chlorella protothecoides with spectral selectivity by nanofluids. Compared to culture without spectral selectivity, the spectral selectivity of Ag/CoSO4 nanofluids increased microalgae biomass by 5.76%, and the spectral selectivity of CoSO4 solution increased by 17.14%. In addition, the spectral selectivity of Ag/CoSO4 nanofluids was more conducive to the accumulation of nutrients (29.46% lipids, 50.66% More > Graphic Abstract

    Experimental Study of Microalgae Cultivation under Selective Illumination by Ag/CoSO<sub>4</sub> for Bioelectrode Materials Preparation

  • Open Access

    ARTICLE

    Investigation of GhFAT Genes Related to Seed Oil Content and Fatty Acid Composition in Gossypium hirsutum L.

    Ziyang Feng1,#, Xinqi Cheng2,#, Tianwen Wang3, Yongchao Han1, Haihong Chen1, Xinyu Zhang1, Jie Sun1, Wei Zhang1,*, Feng Liu1,*

    Phyton-International Journal of Experimental Botany, Vol.92, No.5, pp. 1633-1647, 2023, DOI:10.32604/phyton.2023.027542 - 09 March 2023

    Abstract Fatty Acyl-ACP thioesterase (FAT) is a key enzyme controlling oil biosynthesis in plant seeds. FATs can be divided into two subfamilies, FATA and FATB according to their amino acid sequences and substrate specificity. The Upland cotton genome contains 20 GhFAT genes, amongst which 6 genes were of the GhFATA subfamily and 14 of the GhFATB subfamily. The 20 GhFAT genes are unevenly distributed on 14 chromosomes. The GhFATA genes have 5 or 7 exons and the GhFATB genes have 6 or 7 exons. All GhFAT proteins have the conserved Acyl-ACP_TE domain and PLN02370 super family, the typical characteristics of… More >

  • Open Access

    ARTICLE

    Preparation and Properties of Vegetable-Oil-Based Thioether Polyol and Ethyl Cellulose Supramolecular Composite Films

    Ruyu Yan1,2,3,4, Jian Fang1,*, Xiaohua Yang2,3,4,5,6, Na Yao2,3,4,5,6, Mei Li2,3,4,5,6, Yuan Nie2,3,4,5,6, Tianxiang Deng2,3,4,5,6, Haiyang Ding2,3,4,5,6, Lina Xu2,3,4,5,6, Shouhai Li2,3,4,5,6,*

    Journal of Renewable Materials, Vol.11, No.4, pp. 1937-1950, 2023, DOI:10.32604/jrm.2023.025126 - 01 December 2022

    Abstract Ethyl cellulose (EC), an important biomass-based material, has excellent film-forming properties. Nevertheless, the high interchain hydrogen bond interaction leads to a high glass transition temperature of EC, which makes it too brittle to be used widely. The hydroxyl group on EC can form a supramolecular system in the form of a non-covalent bond with an effective plasticizer. In this study, an important vegetable-oil-based derivative named dimer fatty acid was used to prepare a novel special plasticizer for EC. Dimer-fatty-acid-based thioether polyol (DATP) was synthesized and used to modify ethyl cellulose films. The supramolecular composite films… More > Graphic Abstract

    Preparation and Properties of Vegetable-Oil-Based Thioether Polyol and Ethyl Cellulose Supramolecular Composite Films

  • Open Access

    ARTICLE

    Detrimental Effects of COVID-19 Measures on Mental Health and Social-Economic Disparities

    Hong Wang1, Narges Sanchuli2,*

    International Journal of Mental Health Promotion, Vol.25, No.1, pp. 63-79, 2023, DOI:10.32604/ijmhp.2022.022319 - 29 November 2022

    Abstract The COVID-19 pandemic has struck nations worldwide, pushing worldwide health and socioeconomic systems to extreme limits. Various factors, such as drastic alterations in public environments, prolonged quarantine, revenue loss, and anxiety of disease contraction, have caused mental turmoil. Although there was a need to cope with an excess of psychological strain among the public, post-COVID patients, and those with a previously diagnosed psychiatric condition, mental health programs faced a substantial decline in services, mirroring the dramatic rise in psychological issues. Interestingly, certain coping strategies play protective or deleterious effects on mental health outcomes. Moreover, social… More >

  • Open Access

    ARTICLE

    Wearable UWB Antenna-Based Bending and Wet Performances for Breast Cancer Detection

    Ali Hanafiah Rambe1, Muzammil Jusoh2,3, Samir Salem Al-Bawri4,5,*, Mahmoud A. Abdelghany6,7

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5575-5587, 2022, DOI:10.32604/cmc.2022.030902 - 28 July 2022

    Abstract This paper proposed integrating the communication system on the garment, which can be utilized to detect breast cancer at an early stage by using an ultra-wideband (UWB) wearable antenna. Breast cancer is an abnormal cell that is located in the breast tissue. Early detection of breast cancer plays an important role, and it helps in the long term for all women. The proposed UWB wearable antenna successfully operates at 3.1–10.6 GHz under an acceptable reflection coefficient of −10 dB. The fabricated wearable antenna was made from Shieldit Super and felt both conductive and nonconductive wearable More >

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