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Strategic model for integrating biogas a framework for sustainable energy integration in agro-industries.
Sci Rep
December 2024
Industrial and Systems Engineering Department, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.
The framework of the methodology presented in this study is an effort to integrate and optimize the agro-industry sector, especially energy in biogas. In this study, the technique of the system in functional analysis is shown systematically to translate various energy requirements in the factory as criteria for performance and functional design to be integrated, optimized, and energy efficient. The case study results indicated that biogas power plants, with a capacity of 1.
View Article and Find Full Text PDFEco-friendly cellulose paper composites: A sustainable solution for EMI shielding and green engineering applications.
Int J Biol Macromol
December 2024
International and Inter-University Centre for Nanoscience and Nanotechnology (IIUCNN), Mahatma Gandhi University, Kottayam, Kerala 686 560, India; School of Energy Materials, Mahatma Gandhi University, Kottayam, Kerala 686560, India; School of Nanoscience and Nanotechnology, Mahatma Gandhi University, Kottayam, Kerala 686560, India; Department of Chemical Sciences, University of Johannesburg, P.O.Box 17011, Doornfontein, 2028 Johannesburg, South Africa; Trivandrum Engineering, Science and Technology (TrEST) Research Park, Trivandrum 695016, India. Electronic address:
Cellulose paper-based composites represent a promising and sustainable alternative for electromagnetic interference (EMI) shielding applications. Derived from renewable and biodegradable cellulose fibers, these composites are enhanced with conductive fillers namely carbon nanotubes, graphene, or metallic nanoparticles, achieving efficient EMI shielding while maintaining environmental friendliness. Their lightweight, flexible nature, and mechanical robustness make them ideal for diverse applications, including wearable electronics, flexible circuits, and green electronics.
View Article and Find Full Text PDFChimeric Peptide-Engineered Polyprodrug Enhances Cytotoxic T Cell Response by Inducing Immunogenic Cell Death and Upregulating Major Histocompatibility Complex Class I.
ACS Nano
December 2024
The Fifth Affiliated Hospital, Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, the School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou 511436, China.
Tumor-specific cytotoxic T cell immunity is critically dependent on effective antigen presentation and sustained signal transduction. However, this immune response is frequently compromised by the inherently low immunogenicity of breast cancer and the deficiency in major histocompatibility complex class I (MHC-I) expression. Herein, a chimeric peptide-engineered stoichiometric polyprodrug (PDPP) is fabricated to potentiate the cytotoxic T cell response, characterized by a high drug loading capacity and precise stoichiometric drug ratio, of which the immunogenic cell death (ICD) inducer of protoporphyrin IX (PpIX) and the epigenetic drug of decitabine (DAC) are condensed into a polyprodrug called PpIX-DAC.
View Article and Find Full Text PDFForecast of total health expenditure on China's ageing population: a system dynamics model.
BMC Health Serv Res
December 2024
Western Sydney University, School of Computer, Data and Mathematical Sciences, Sydney, Australia.
Background: China is currently at a turning point as its total population has started to decline, and therefore faces issues related to caring for an ageing population, which will require an increase in Total Health Expenditure (THE). Therefore, the ability to forecast China's future THE is essential.
Methods: We developed two THE System Dynamics (SD) models using Stella Architect 3.
Extreme learning machine for identifying soil-dwelling microorganisms cultivated on agar media.
Sci Rep
December 2024
The National Institute of Horticultural Research, ul. Pomologiczna 18, 96-100, Skierniewice, Poland.
The aim of this research is to create an automated system for identifying soil microorganisms at the genera level based on raw microscopic images of monocultural colonies grown in laboratory environment. The examined genera are: Fusarium, Trichoderma, Verticillium, Purpureolicillium and Phytophthora. The proposed pipeline deals with unprocessed microscopic images, avoiding additional sample marking or coloration.
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