Analysis of corrections to the eikonal approximation

Various corrections to the eikonal approximations are studied for two- and three-body nuclear collisions with the goal to extend the range of validity of this approximation to beam energies of 10 MeV/nucleon. Wallace's correction does not improve much the elastic-scattering cross sections obtained at the usual eikonal approximation. On the contrary, a semiclassical approximation that substitutes the impact parameter by a complex distance of closest approach computed with the projectile-target optical potential efficiently corrects the eikonal approximation. This opens the possibility to analyze data measured down to 10 MeV/nucleon within eikonal-like reaction models.Comment: 10 pages, 8 figure

Table_1_Molecular Characterization of Peroxisome Proliferator-Activated Receptor-Gamma Coactivator-1α (PGC1α) and Its Role in Mitochondrial Biogenesis in Blunt Snout Bream (Megalobrama amblycephala).DOCX

PGC1α is a transcriptional coactivator that plays key roles in mitochondrial biogenesis, so exploring its molecular characterization contributes to the understanding of mitochondrial function in cultured fish. In the present study, a full-length cDNA coding PGC1α was cloned from the liver of blunt snout bream (Megalobrama amblycephala) which covered 3741 bp with an open reading frame of 2646 bp encoding 881 amino acids. Sequence alignment and phylogenetic analysis revealed high conservation with other fish species, as well as other higher vertebrates. Comparison of the derived amino acid sequences indicates that, as with other fish, there is a proline at position 176 (RIRP) compared to a Thr in the mammalian sequences (RIRT). To investigate PGC1α function, three in vitro tests were carried out using primary hepatocytes of blunt snout bream. The effect of AMPK activity on the expression of PGC1α was determined by the culture of the hepatocytes with an activator (Metformin) or inhibitor (Compound C) of AMPK. Neither AMPK activation nor inhibition altered PGC1α expression. Knockdown of PGC1α expression in hepatocytes using small interfering RNA (si-RNA) was used to determine the role of PGC1α in mitochondrial biogenesis. No significant differences in the expression of NRF1 and TFAM, and mtDNA copy number were found between control and si-RNA groups. Also, hepatocytes were cultured with oleic acid, and the findings showed the significant reduction of mtDNA copy number in oleic acid group compared to control. Moreover, oleic acid down-regulated the expression of NRF1 and TFAM genes, while PGC1α expression remained unchanged. Our findings support the proposal that PGC1α may not play a role in mitochondrial biogenesis in blunt snout bream hepatocytes.</p

Additional file 1 of Novel PAK3 gene missense variant associated with two Chinese siblings with intellectual disability: a case report

Additional file 1 Table S1. Stability results of PAK3 and variant, produced by Molecular Operating Environment (MOE). Table S2. The summary of variants consistent with the inheritance model other than the PAK3 gene in this family from the trio-WES data

Additional file 1 of Paint has the potential to release microplastics, nanoplastics, inorganic nanoparticles, and hybrid materials

Additional file 1: Figure S1. Photo images. Figure S2 & Table S1. EDS & Raman parameters. Figure S3. Identification of plastics. Figure S4. More Raman images for Fig. 4. Figure S5. More Raman images for Fig. 5. Figure S6. More Raman images for Fig. 6. Figure S7. ~ 5-year-old paint (#5), peeled from a wood surface. Figures S8–S9. ~ 20-year-old paint (#6), peeled off from gyprock surface. Figure S10. release of BTEX

Age is the strongest component that affects gut microbiota composition at the KEGG pathway level.

<p>Samples were named using “A” plus infant ages according to months. Fig 3 indicates that the first and second dimension can account for 41.34% and 18.29% of the variation, respectively, and that the distribution of all samples in two dimensions and indicates that all samples could be divided into two groups based on age bifurcated at 1 year of age.</p

Diversity of Gut Microbiota Metabolic Pathways in 10 Pairs of Chinese Infant Twins

<div><p>Early colonization of gut microbiota in human gut is a complex process. It remains unclear when gut microbiota colonization occurs and how it proceeds. In order to study gut microbiota composition in human early life, the present study recruited 10 healthy pairs of twins, including five monozygotic (MZ) and five dizygotic (DZ) twin pairs, whose age ranged from 0 to 6 years old. 20 fecal samples from these twins were processed by shotgun metagenomic sequencing, and their averaged data outputs were generated as 2G per sample. We used MEGAN5 to perform taxonomic and functional annotation of the metagenomic data, and systematically analyzed those 20 samples, including Jaccard index similarity, principle component, clustering, and correlation analyses. Our findings indicated that within our study group: 1) MZ-twins share more microbes than DZ twins or non-twin pairs, 2) gut microbiota distribution is relatively stable at metabolic pathways level, 3) age represents the strongest factor that can account for variation in gut microbiota, and 4) a clear metabolic pathway shift can be observed, which speculatively occurs around the age of 1 year old. This research will serve as a base for future studies of gut microbiota-related disease research.</p></div

MZ co-twin pairs share more gut microbes than pairs of DZ co-twins or inter-twins.

<p>The sample distances between any two samples were computed using the 1–Jaccard index. MZ (monozygotic) and DZ (dizygotic) twins are marked with red and black font, respectively. This figure shows that compared with DZ and non-twins, MZ twins are more tightly clustered.</p

Gut microbiota are not stable and gut metabolism becomes stable with age.

<p>Fig 2a (top) is a stacked line of gut microbiota at the phylum level. The figures show that gut microbiota distribution are not stable at the taxonomic level. Fig 2b (lower) is a local fitting of gut microbiota at the KEGG level 1, the unique reads which are normalized to 1 million reads per sample annotated in each sectors are regressed against age (months) of 10 co-twins. The lines are drawn by R’s lowess according to a weighted polynomial regression method for the local fitting of KEGG level data. As the age increases, there is a trend that the KEGG functions for gut microbiota began to stabilize.</p

Significant enriched pathways revealed by Student’s <i>t-</i>test in younger (<1 year old) and older (>1 year old) groups of babies.

<p>Significant enriched pathways revealed by Student’s <i>t-</i>test in younger (<1 year old) and older (>1 year old) groups of babies.</p

Diagnostic utility of rapid sequencing in critically ill infants: a systematic review and meta-analysis

Genetic disorders are a major cause of death in critically ill infants. Several studies have assessed the diagnostic yield of rapid genomic sequencing in critically ill infants. This meta-analysis aimed to summarize the diagnostic utility of rapid genomic sequencing in critically ill infants. PubMed, Scopus, Web of Science, and Cochrane Library, were searched before 1 July 2022. Studies reported diagnostic rate of rapid genomic sequencing in critically ill infants were selected. Two authors screened and extracted data regarding the method of genetic test, total number of patients, and number of diagnosed patients. Twenty-three studies, comprising 1567 critically ill infants were included in the meta-analysis. In the overall analysis, the pooled diagnostic utility of rapid genomic sequencing was 0.42 (95% CI: 0.37–0.49, I2 = 79%, P 2 = 74%; P 2 = 77%; P This meta-analysis proved that rapid genomic sequencing has a good diagnostic utility for critically ill infants.</p