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We report simulations of X-ray absorption near edge structure (XANES), resonant inelastic X-ray scattering (RIXS) and 1D stimulated X-ray Raman spectroscopy (SXRS) signals of cysteine at the oxygen, nitrogen, and sulfur K and L(2,3) edges. Comparison of the simulated XANES signals with experiment shows that the restricted window time-dependent density functional theory is more accurate and computationally less expensive than the static exchange method. Simulated RIXS and 1D SXRS signals give some insights into the correlation of different excitations in the molecule.
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http://dx.doi.org/10.1063/1.4766356 | DOI Listing |
Biopreserv Biobank
September 2025
Hubei Key Laboratory of Three Gorges Project for Conservation of Fishes, Yichang, Hubei, China.
The collection and preservation of postmortem genetic material from recently deceased animals of rare and endangered species represent a critical yet underexplored avenue in conservation biology. While extensive research has been conducted on the human postmortem interval (PMI), there is a notable gap in understanding the postmortem preservation of germplasm in endangered species. This study aimed to investigate the dynamics of apoptosis in various tissues of the Yangtze sturgeon at different postmortem time points, and to provide a reference for identifying the optimal time window for germplasm preservation in rare and endangered fish in the wild.
View Article and Find Full Text PDFPLoS One
September 2025
School of Management, Shenyang University of Technology, Shenyang, Liaoning, China.
In today's economic globalization, the cold chain logistics industry is a fundamental sector supporting the development of the national economy, with sustainable development and a people-oriented approach being crucial. This paper investigates the path optimization problem of cold chain logistics vehicles that simultaneously pick up and deliver goods within a time window, aiming to achieve sustainable development in real-world cold chain logistics distribution. Additionally, the paper takes into account the varying speeds of vehicles over time to more accurately simulate real-world traffic conditions.
View Article and Find Full Text PDFJ Mater Chem B
September 2025
The Avram and Stella Goldstein Goren Department of Biotechnology Engineering, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, Israel.
The development of "smart" polymers capable of responding to physiologically relevant stimuli is essential for engineering dynamic sensing and actuation systems that leverage biological signals under specific (patho)physiological conditions. In this study, we present a general and versatile strategy to engineer novel stimuli-responsive behaviors in temperature-responsive protein-based polymers (PBPs) site-specific conjugation with self-immolative molecules. Specifically, we developed hydrogen peroxide (HO)- and β-galactosidase (β-gal)-responsive elastin-like polypeptides (ELPs) and resilin-like polypeptides (RLPs).
View Article and Find Full Text PDFIEEE Trans Neural Syst Rehabil Eng
September 2025
Myoelectric pattern recognition systems serve as a promising predictive control approach for the lower limbs prostheses and exoskeletons. However, their actual deployment is challenged by the signal stochastic nature that could contaminate the decision stream with physiologically implausible transitions, posing safety and metabolic cost concerns on the potential user. Therefore, this study proposes a novel Physics-Informed Bayesian Fusion (PI-BF) post-processor that embeds biomechanical sequentiality constraints into the posterior probabilistic output of the classifiers to suppress unstable transitions and promote natural gait progression.
View Article and Find Full Text PDFPharmaceuticals (Basel)
August 2025
Metabolomics Section, Precision Medicine Laboratory Department, Genomics Medicine Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia.
Pharmacological interventions often exert systemic effects beyond their primary targets, underscoring the need for a comprehensive evaluation of their metabolic impact. Etodolac is a nonsteroidal anti-inflammatory drug (NSAID) that alleviates pain, fever, and inflammation by inhibiting cyclooxygenase-2 (COX-2), thereby reducing prostaglandin synthesis. While its pharmacological effects are well known, the broader metabolic impact and potential mechanisms underlying improved clinical outcomes remain underexplored.
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