We use stoichiometric network analysis (SNA) to obtain a flux-based approach for the evaluation and description of the entropy production and exchange for chemical reactions in open systems. For non-equilibrium stationary states (NESS) the production and exchange are expressed as functions over the convex cone of the stationary reaction rates, revealing the reaction pathways and elementary flux modes (EFM) responsible for both entropy production and balance. The analysis of the entropy production of EFMs leads to a unique description of the contribution of the coupling between linear or cyclic reaction network paths, and the fluxes due to the matter exchange of the system with the system's surroundings. Network stoichiometry leads to an independent proof and confirmation of Prigogine's theorem of minimum entropy production for the linear regime of non-equilibrium thermodynamics. Moreover, the non-linear thermodynamic regime allows us to test the validity of the General Evolution Criterion (GEC) for NESS in isothermal chemical networks in mechanical equilibrium.
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http://dx.doi.org/10.1039/c8cp04398a | DOI Listing |
Sci Rep
January 2025
School of Public Health, Xinjiang Medical University, Urumqi, China.
The context of rapid global environmental change underscores the pressing necessity to investigate the environmental factors and high-risk areas that contribute to the occurrence of brucellosis. In this study, a maximum entropy (MaxEnt) model was employed to analyze the factors influencing brucellosis in the Aksu Prefecture from 2014 to 2023. A distributed lag nonlinear model (DLNM) was employed to investigate the lagged effect of meteorological factors on the occurrence of brucellosis.
View Article and Find Full Text PDFElectromagn Biol Med
January 2025
Department of Mathematics, University of Gour Banga, Malda, India.
Biomagnetic fluid dynamics (BFD) is an emerging and promising field within fluid mechanics, focusing on the dynamics of bio-fluids like blood in the presence of magnetic fields. This research is crucial in the medical arena for applications such as medication delivery, diagnostic and therapeutic procedures, prevention of excessive bleeding, and treatment of malignant tumors using magnetic particles. This study delves into the intricacies of blood flow induced by cilia, carrying trihybrid nanoparticles (gold, copper, and titania), within a catheterized arterial annulus under a robust magnetic field.
View Article and Find Full Text PDFSci Rep
January 2025
Amity Institute of Environmental Sciences (AIES), Amity University Uttar Pradesh (AUUP), Sector-125, Gautam Budh Nagar, Noida, 201313, India.
This study focused on simulating the adsorption-based separation of Methylene Blue (MB) dye utilising Oryza sativa straw biomass (OSSB). Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference systems (ANFIS), and response surface methodology (RSM). To evaluate the adsorbent's potential, assessments were conducted using Fourier-transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM).
View Article and Find Full Text PDFJ Microsc
January 2025
Ningbo Key Laboratory of Micro-Nano Motion and Intelligent Control, Ningbo University, Ningbo, PR China.
The types and quantities of microorganisms in activated sludge are directly related to the stability and efficiency of sewage treatment systems. This paper proposes a sludge microorganism detection method based on microscopic phase contrast image optimisation and deep learning. Firstly, a dataset containing eight types of microorganisms is constructed, and an augmentation strategy based on single and multisamples processing is designed to address the issues of sample deficiency and uneven distribution.
View Article and Find Full Text PDFSmall
January 2025
Department of Botany and Microbiology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
A polyacrylamide gel method has been used to synthesize a variety of polyvalent-transition-metal-doped Ni position of high entropy spinel oxides (NiZnMgCuCo)AlO-800 °C (A) on the basis of NiAlO, and the catalytic activity of A is studied under the synergistic action of peroxymonosulfate (PMS) activation and simulated sunlight. The A containing polyvalent transition metals (Ni, Cu, and Co) can effectively activate PMS and efficiently degrade levofloxacin (LEV) and tetracycline hydrochloride (TCH) under simulated sunlight irradiation. After 90 min of light exposure, the degradation percentages of LEV (50 mg L) and TCH (100 mg L) degrade by the A/PMS/vis system reach 87.
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