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Research on spatial prediction technology for mitigating tunnel inrush disasters under complex geological conditions in China's Hengduan Mountain Range.
Sci Rep
January 2025
Chengdu Engineering Corporation Limited, Chengdu, 610072, China.
The proportion of railway high-altitude buried tunnels in complex and dangerous mountainous areas in southwest China is exceptionally high. With the characteristics of suddenness, intermittency, instantaneousness, and destruction, inrushinrushing and collapse is one of the main risks in the tunnel construction process. Therefore, in the design and construction process of tunnels in Hengduan Mountain area, it is very important to identify the mechanism of sudden s inrushing and collapse risks, predict the spatial location and scale of possible inrushing and collapse, and formulate corresponding tunnel design and construction response measures.
View Article and Find Full Text PDFPorous carbons with complex 3D geometries via selective laser sintering of whey powder.
Sci Rep
January 2025
Instituto de Ciencia y Tecnología del Carbono, INCAR-CSIC, c/Francisco Pintado Fe 26, Oviedo, 33011, Spain.
In addition to the inherent limitations of carbons to melt or flow, a vast majority of carbon precursors deforms during carbonisation, with stereolithography of thermoset resins being the preferred technology for 3D printing of carbons. An alternative is now presented with the possibility of using a melting-based technology, selective laser sintering (SLS), to fabricate 3D structures that withstand carbonisation. The key factor that makes this happen is whey powder, a natural, abundant and cheap by-product of the dairy industry.
View Article and Find Full Text PDFAnorectal malformation with rectoperineal fistula in males treated with a posterior rectal advancement anoplasty (PRAA) - report of early outcomes.
Eur J Pediatr Surg
January 2025
Surgery, Colorectal and Pelvic Reconstructive Surgery, Children's National Hospital, District of Columbia, United States.
A novel modification of the cutback procedure, a posterior rectal advancement anoplasty (PRAA) for select male patients with an anorectal malformation and a rectoperineal fistula was recently described which incised only within the limits of the sphincteric ellipse and eliminated an anterior rectal dissection, thus avoiding any possibility of a urethral injury. This report provides longer term postoperative outcomes after PRAA. Method A retrospective, single institution study was performed examining male patients with a rectoperineal fistula between 1/2020-12/2023.
View Article and Find Full Text PDFChiroptical spectroscopy complemented by quantum chemical calculations accurately predicts the absolute configuration of P-chirogenic compounds.
Spectrochim Acta A Mol Biomol Spectrosc
January 2025
Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, 160 00 Prague, Czech Republic. Electronic address:
Model P-chirogenic phosphonates derived from isopinocampheol, offering an excellent experimental system for studying chirality on the phosphorus chiral center, were studied using a set of chiroptical methods including ECD, VCD and ROA. Thanks to their rigidity, limiting the number of possible conformers, we successfully correlated the experimental UV-vis/ECD, IR/VCD and Raman/ROA results with DFT calculations. This allowed us to confidently assign the absolute configuration of our models, and our assignment is consistent with X-ray diffraction (XRD) data.
View Article and Find Full Text PDFData-Driven Improvement of Local Hybrid Functionals: Neural-Network-Based Local Mixing Functions and Power-Series Correlation Functionals.
J Chem Theory Comput
January 2025
Technische Universitát Berlin, Institut für Chemie, Theoretische Chemie/Quantenchemie, Sekr. C7, Straße des 17. Juni 135, Berlin D-10623, Germany.
Local hybrid functionals (LHs) use a real-space position-dependent admixture of exact exchange (EXX), governed by a local mixing function (LMF). The systematic construction of LMFs has been hampered over the years by a lack of exact physical constraints on their valence behavior. Here, we exploit a data-driven approach and train a new type of "n-LMF" as a relatively shallow neural network.
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