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The sustainability of the surgical workforce, environmental pollution caused by disposable instruments, and the rising costs of medical care are pressing issues worldwide. This review explores sustainable surgical practices for laparoscopic surgery through the application of surgical AI systems and reusable energy devices. Surgical AI systems enable the precise real-time visualization of organ anatomy, enhance surgical accuracy, and support educational initiatives. The Reusable Energy Device Laparoscopic-Assisted Colectomy (RE-LAC) technique, which employs reusable energy devices, has the potential to reduce medical waste and costs while maintaining safety and quality standards. A comparative analysis of RE-LAC and conventional disposable devices showed no significant differences in operative time or blood loss, suggesting that RE-LAC may be a viable alternative for sustainable surgical practice. These approaches align with the Sustainable Development Goals, contributing to sustainable healthcare by improving workforce efficiency, reducing environmental impacts, and promoting economic feasibility. Further large-scale, multi-institutional studies are necessary to optimize their implementation and maximize their global impact.
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http://dx.doi.org/10.3390/cancers17050761 | DOI Listing |
J Chem Theory Comput
September 2025
Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria.
We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. This framework streamlines the development of new interfaces by providing a reusable and extendable code base. It supports the computation of energies, gradients, various couplings─like spin-orbit couplings, nonadiabatic couplings, and transition dipole moments─and other properties for an arbitrary number of states with any multiplicities and charges.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
College of Materials Engineering, Fujian Agriculture and Forestry University, Fuzhou, 350002, China. Electronic address:
Lignin, a negatively charged, three-dimensional natural biopolymer, serves as an ideal support for metal catalysts due to its abundant functional groups and tunable chemical properties, which enable strong metal coordination and effective immobilization. Herein, we demonstrate a lignin-mediated Co/O co-doped AgS, symbolized as L-AgCoOS, bimetal oxysulfide catalyst via a facile hydrolysis method for the efficient reduction of toxic phenolic compounds (4-nitrophenol, 4-NP), organic dyes (methyl orange (MO), methylene blue (MB), rhodamine B (RhB), and heavy metal ions Cr(VI)) under dark conditions. Lignin, used to immobilize catalysts, also contributes to increasing the number of active catalytic sites and enhancing catalytic activity.
View Article and Find Full Text PDFACS Omega
September 2025
Department of Chemistry, College of Science, Wollo University, PO Box, 1145 Dessie, Ethiopia.
The increasing pollution of water bodies from various industrial wastewater discharges has raised significant environmental concerns because these effluents contain toxic, nonbiodegradable compounds that pose serious risks to living organisms. In particular, the textile and pharmaceutical industries routinely use dyes that severely degrade water quality and lead to significant environmental issues. Therefore, effective removal of these dyes from industrial wastewater is crucial for mitigating pollution.
View Article and Find Full Text PDFBiotechnol Appl Biochem
September 2025
Guangdong Provincial Key Laboratory of Distributed Energy Systems, Dongguan University of Technology, Dongguan, China.
Butyl acetate, a valuable flavor ester, is conventionally synthesized through acid-catalyzed reactions, which suffer from environmental concerns and inefficiencies. This study explores a greener alternative using liquid lipase Novozym 400238 for its enzymatic synthesis. The central composite design (CCD) within response surface methodology (RSM) was employed to assess the reaction parameters, including temperature, substrate molar ratio, enzyme concentration, and hexane content, along with their effects on the conversion rate.
View Article and Find Full Text PDFA variety of biomolecular systems rely on exploratory dynamics to reach target locations or states within a cell. Without a mechanism to remotely sense and move directly towards a target, the system must sample over many paths, often including resetting transitions back to the origin. We investigate how exploratory dynamics can confer an important functional benefit: the ability to respond to small changes in parameters with large shifts in the steady-state behavior.
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