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C15H8F4N2O3, monoclinic, P21/n (no. 14), a = 11.2759(7) Å, b = 9.0182(5) Å, c = 14.2235(8) Å, β = 93.834(2)°, V = 1443.13(15) Å3, Z = 4, Rgt (F) = 0.0391, wRref (F 2) = 0.1067, T = 273.15 K.

Accurate fuel debris location is crucial part of the decommissioning of the Fukushima Nuclear Power plants. Conventional methods face challenges due to extreme radiation and complex structure of the materials involved. In this study, we propose a novel approach utilising neutron detection and machine learning to estimate fuel material location. Geant4 simulations and pythonTM scripts have been used to generate a comprehensive dataset to train a machine learning model using MATLAB’s regression learner. A Gaussian Process Regression model was chosen for training and prediction. The results show excellent prediction performance to estimate the corium thickness effectively and to locate the nuclear fuel material with a mean square error (MSE) of 0.01. By combining the machine learning with nuclear simulation codes, this promises to enhance the nuclear decommissioning efforts to retrieve nuclear fuel debris.

Objective To evaluate the effect of hematopoietic stem cell mobilization and collection in healthy pediatric donors. Methods 67 healthy pediatric donors were included in this study.According to the donor/recipient （D/R） body weight ratio （BWR）， they were divided into three groups： D/R BWR2 group （n = 14）. The mobilization， collection effect and adverse reactions of bone marrow and peripheral blood stem cells were compared among all groups. Results The quantity of mononuclear cells （MNCs） of bone marrow stem cells collected in the D/R BWR2 group （both P < 0.001）. There was no significant difference in the quantity of bone marrow CD34+ cells among three groups （all P > 0.05）. The quantity of MNCs of peripheral blood stem cells in the D/R BWR>2 group was significantly higher than those in the D/R BWR2 group was significantly higher than that in the D/R BWR

Douchi has attracted attention for its unique taste and rich health functions. This study investigated the nutrition, flavor and correlation between the flavor and microorganisms of two traditional bacterial douchi from the province of Gansu in northwest China. The findings reveal significant variations in nutrition, flavor compounds, and the microbiota between Longnan and Qingyang douchi. Three dominant bacterial genera (Carnobacterium, Ignatzschineria, and Bacillus) and one dominant bacterial genus (Pichia) were found in the QY douchi, while four bacterial genera (Bacillus, Ignatzschineria, Proteus, and Providencia) and three fungal genera (Pichia, Candida, and Rhodosporidium) were dominant in samples of the LN douchi. For flavor substances, a total of 48 volatile components were detected in Longnan douchi and 41 in Qingyang douchi. Using the relative odor activity value (ROAV), we identified five key flavor compounds in Longnan douchi and four key flavor compounds in Qingyang douchi. The correlation analysis showed that there were certain positive or negative correlations between the key microorganisms and the flavor of the two traditional bacterial douchi. The results of this study can serve as a theoretical reference for improving the quality and flavor of traditional douchi. [ABSTRACT FROM AUTHOR]

This article discusses the development of guanine base editors (GBEs) for G-to-T editing in rice. The researchers created two GBEs using an engineered N-methylpurine DNA glycosylase with CRISPR systems, achieving targeted G-to-T editing with an efficiency of 4.94-12.50% in rice. They also explored the potential of derivative base editors by combining the DNA glycosylase with various nucleotide deaminases, resulting in co-editing of target guanines with adenines or cytosines. The study demonstrates the potential of GBEs and derivative base editors for genome editing in rice, providing new tools for both basic research and genetic improvement of the crop. [Extracted from the article]

C15H8F4N2O3, monoclinic, P21/n (no. 14), a = 11.2759(7) Å, b = 9.0182(5) Å, c = 14.2235(8) Å, β = 93.834(2)°, V = 1443.13(15) Å3, Z = 4, Rgt(F) = 0.0391, wRref(F2) = 0.1067, T = 273.15 K. [ABSTRACT FROM AUTHOR]

C15H8F4N2O3, monoclinic, P21/n (no. 14), a = 11.2759(7) Å, b = 9.0182(5) Å, c = 14.2235(8) Å, β = 93.834(2)°, V = 1443.13(15) Å3, Z = 4, Rgt(F) = 0.0391, wRref(F2) = 0.1067, T = 273.15 K. [ABSTRACT FROM AUTHOR]

The Hercynian Orogeny was caused by the collision of Gondwana and Laurussia in the Mid‐/Late Carboniferous–Early Permian. This orogeny strongly influenced the pattern and evolution of basins and hydrocarbon accumulation on the southern margin of the Tethyan region (i.e., North Africa and the Middle East). Research on the Carboniferous–Early Permian Hercynian Orogeny is of great value in both plate tectonic reconstructions and hydrocarbon exploration. For its influence on basin evolution, some previous studies have considered the modification of the early Palaeozoic basins, but there has been less work on the evolution of the post‐Hercynian Mesozoic basins. We review the available data and re‐analyse the spatiotemporal impacts of this key tectonic event on the evolution of the basins in this region. The Carboniferous–Early Permian Hercynian Orogeny was an important turning point in basin evolution in North Africa and the Middle East. It interrupted the stability of the Gondwana platform and heralded a huge change in the pattern of basins from the uniform pre‐Hercynian Palaeozoic basins to the post‐Hercynian Mesozoic basins characterized by strong segmentation. The Carboniferous–Early Permian Hercynian Orogeny not only modified the pre‐Hercynian Palaeozoic basins but also controlled the distribution and evolution of the post‐Hercynian Mesozoic basins. Large‐scale uplifts were generated among the basins through modification of the inherited palaeohighs and five large NE‐trending arches were newly formed. These uplifts divided the early unified basin into multiple separate basins. Five large‐scale, almost equidistant, NE‐trending arches were generated on the northern margin of Gondwana (the Allala, Sirte, Levant, Al‐Batin and Oman arches), forming the present‐day Palaeozoic Basin pattern with an alternating distribution of uplifts and depressions. The northern part of the large, NE‐trending Hercynian arches collapsed as a result of the extensional stress caused by the opening of the Neotethys Ocean in the Late Permian–Triassic and formed Mesozoic basin depocenters (the Oued Mya–Pelagian basins, the Sirte Basin, the Eastern Mediterranean Basin and the Central Arabian Basin). These depocenters are important oil and gas enrichment zones. The NE‐trending Hercynian arches, the Mesozoic basin depocenters, the opening of the Neotethys Ocean and the segmentation of the basins by the Alpine Orogeny all show relatively consistent east–west‐directed segmentation on the northern margin of Gondwana. This shows that they may have a unified dynamic genetic background. The zone of structural weakness formed by the collision of multiple terranes during the Pan‐African Orogeny may have controlled this segmentation. The inheritance between reformation of the pre‐Hercynian Palaeozoic basins and influence on the post‐Hercynian Mesozoic basins by Carboniferous–Early Permian Hercynian Orogeny, is the result of the tectonics repetitively focused in pre‐existing weaker domains, under the lithospheric mantle modification in the polyphase assembly and break‐up of the supercontinent. [ABSTRACT FROM AUTHOR]