Ultra-short lifetime isomer studies from photonuclear reactions using laser-driven ultra-intense {\gamma}-ray

Isomers, ubiquitous populations of relatively long-lived nuclear excited states, play a crucial role in nuclear physics. However, isomers with half-life times of several seconds or less barely had experimental cross section data due to the lack of a suitable measuring method. We report a method of online {\gamma} spectroscopy for ultra-short-lived isomers from photonuclear reactions using laser-driven ultra-intense {\gamma}-rays. The fastest time resolution can reach sub-ps level with {\gamma}-ray intensities >10^{19}/s ({\geqslant} 8 MeV). The ^{115}In({\gamma}, n)^{114m2}In reaction (T_{1/2} = 43.1 ms) was first measured in the high-energy region which shed light on the nuclear structure studies of In element. Simulations showed it would be an efficient way to study ^{229m}Th (T_{1/2} = 7 {\mu}s), which is believed to be the next generation of nuclear clock. This work offered a unique way of gaining insight into ultra-short lifetimes and promised an effective way to fill the gap in relevant experimental data

Separase Phosphosite Mutation Leads to Genome Instability and Primordial Germ Cell Depletion during Oogenesis

To ensure equal chromosome segregation and the stability of the genome during cell division, Separase is strictly regulated primarily by Securin binding and inhibitory phosphorylation. By generating a mouse model that contained a mutation to the inhibitory phosphosite of Separase, we demonstrated that mice of both sexes are infertile. We showed that Separase deregulation leads to chromosome mis-segregation, genome instability, and eventually apoptosis of primordial germ cells (PGCs) during embryonic oogenesis. Although the PGCs of mutant male mice were completely depleted, a population of PGCs from mutant females survived Separase deregulation. The surviving PGCs completed oogenesis but produced deficient initial follicles. These results indicate a sexual dimorphism effect on PGCs from Separase deregulation, which may be correlated with a gender-specific discrepancy of Securin. Our results reveal that Separase phospho-regulation is critical for genome stability in oogenesis. Furthermore, we provided the first evidence of a pre-zygotic mitotic chromosome segregation error resulting from Separase deregulation, whose sex-specific differences may be a reason for the sexual dimorphism of aneuploidy in gametogenesis

Multi-enzymatic recycling of ATP and NADPH for the synthesis of 5-aminolevulinic acid using a semipermeable reaction system

ABSTRACT 5-Aminolevulinic acid (ALA) is an important cellular metabolic intermediate that has broad agricultural and medical applications. Previously, attempts have been made to synthesize ALA by multiple enzymes in cell free systems. Here we report the development of a semi-permeable system for ALA production using stable enzymes. Glucose, sodium polyphosphate, ATP, tRNA, glutamate and NADPH were used as substrates for ALA synthesis by a total of nine enzymes: adenylate kinase, polyphosphate kinase, glucose-6-phosphate dehydrogenase, phosphogluconolactonase, 6-phosphogluconate dehydrogenase, glutamyl-tRNA synthetase and glutamate-1-semialdehyde aminotransferase from E. coli, hexokinase from yeast, as well as glutamyl-tRNA reductase and its stimulator protein glutamyl-tRNA reductase binding protein (GBP) from Arabidopsis in a semi-permeable system. After reaction for 48 h, the glutamate conversion reached about 95%. This semi-permeable system facilitated the reuse of enzymes, and was helpful for the separation and purification of the product. The ALA production could be further improved by process optimization and enzyme engineering. Abbreviations: PPK: polyphosphate kinase; ADK: adenylate kinase; ALA: 5-Aminolevulinic acid; HK: hexokinase; ZWF: glucose-6-phosphatedehydrogenase; PGL: phosphogluconolactonase; GND: 6-phosphogluconate dehydrogenase; GTS: glutamyl-tRNA synthetase; GTR: glutamyl-tRNA reductase; GBP: GTR binding protein; GSAAT: glutamate-1-semialdehyde aminotransferase.</jats:p

An efficient dynamic energy replenishment and data gathering strategy based on deep reinforcement learning in wireless rechargeable sensor networks

The advent of Wireless Rechargeable Sensor Networks (WRSNs) has brought about a new reality where sensor nodes can be recharged wirelessly via mobile charging vehicle. However, most of current methods fail to adequately combine the processes of replenishing sensor’s energy and gathering data in efficient manners. In order to reduce sensor node’s mortality, this paper proposes a dynamic energy reproduction and data gathering strategy based on deep reinforcement learning for WRSNs. Firstly, a multi-objective optimization model is established to evaluate both maximizing charging efficiency and minimizing data gathering latency. Secondly, the selection of charging path of the wireless charging vehicle and the determination of dwell time of rendezvous points are optimized collaboratively. Finally, the frame work of Long Short-Term Memory Twin Delayed Deep Deterministic Policy Gradient (LSTM-TD3) is utilized to implement a dynamic adjustment of the residence points’ dwell time. Extensive experiments show that our proposed method improves energy efficiency by 7.5 % and reduces average data latency by 11.3 % approximately, which can confirm its superior effectiveness and efficiency in terms of charging performance and data gathering

Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion

Addressing the challenging issues in small target detection within complex traffic scenes, such as scale variation, complex background noise, and the problems of missed and false detections, this paper introduces a Multi-Scale Feature Fusion YOLOv8 (MSFF-YOLOv8) approach. Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. This innovation facilitates the effective amalgamation of multi-scale features, thereby bolstering the model's proficiency in identifying small targets and enhancing the richness of the contextual information within the output features. Furthermore, the incorporation of deformable convolution amplifies the algorithm's capacity to maintain target consistency amidst complexity. Additionally, employing a feature distillation technique permits the student model to absorb crucial feature representations from the teacher model, circumventing the detrimental effects of semantic disparities across stages. This significantly elevates the model's generalizability and robustness. Experimental validations corroborate the efficacy and superiority of the proposed method. Enhanced detection performance is achieved, effectively mitigating the challenges of small target detection in complex scenarios, such as under poor lighting conditions in traffic environments, and elevating both the accuracy and efficiency of detection

Multi-enzymatic recycling of ATP and NADPH for the synthesis of 5-aminolevulinic acid using a semipermeable reaction system

5-Aminolevulinic acid (ALA) is an important cellular metabolic intermediate that has broad agricultural and medical applications. Previously, attempts have been made to synthesize ALA by multiple enzymes in cell free systems. Here we report the development of a semi-permeable system for ALA production using stable enzymes. Glucose, sodium polyphosphate, ATP, tRNA, glutamate and NADPH were used as substrates for ALA synthesis by a total of nine enzymes: adenylate kinase, polyphosphate kinase, glucose-6-phosphate dehydrogenase, phosphogluconolactonase, 6-phosphogluconate dehydrogenase, glutamyl-tRNA synthetase and glutamate-1-semialdehyde aminotransferase from E. coli, hexokinase from yeast, as well as glutamyl-tRNA reductase and its stimulator protein glutamyl-tRNA reductase binding protein (GBP) from Arabidopsis in a semi-permeable system. After reaction for 48 h, the glutamate conversion reached about 95%. This semi-permeable system facilitated the reuse of enzymes, and was helpful for the separation and purification of the product. The ALA production could be further improved by process optimization and enzyme engineering. Abbreviations: PPK: polyphosphate kinase; ADK: adenylate kinase; ALA: 5-Aminolevulinic acid; HK: hexokinase; ZWF: glucose-6-phosphatedehydrogenase; PGL: phosphogluconolactonase; GND: 6-phosphogluconate dehydrogenase; GTS: glutamyl-tRNA synthetase; GTR: glutamyl-tRNA reductase; GBP: GTR binding protein; GSAAT: glutamate-1-semialdehyde aminotransferase. The multi-enzyme reactions for 5-aminolevulinic acid (ALA) synthesis through the C5 pathway. </p