Dehnsimpson4215

Z Iurium Wiki

Verze z 10. 9. 2024, 21:08, kterou vytvořil Dehnsimpson4215 (diskuse | příspěvky) (Založena nová stránka s textem „These results are supported by a predictive analysis of gene content, which identified a series of functional/structural changes that potentially occur in…“)
(rozdíl) ← Starší verze | zobrazit aktuální verzi (rozdíl) | Novější verze → (rozdíl)

These results are supported by a predictive analysis of gene content, which identified a series of functional/structural changes that potentially occur in the gut bacterial population of these animals, providing a complementary and alternative approach to microbiome analyses based solely on taxonomic classification.A Gram-stain-negative, aerobic, short-rod-shaped bacterium, designated strain CBS1P-1T, was isolated from a surface-sterilized bark of Aegiceras corniculatum. Growth of strain CBS1P-1T was observed with between 0 and 12.0 % (w/v) NaCl (optimally with 5.0 %) and at between pH 6.0-9.0. It grew at temperatures between 25-37 °C (optimum, 30 °C). Chemotaxonomic analysis showed that ubiquinone-10 was the respiratory quinone. The lipids comprised diphosphatidylglycerol, phosphatidylglycerol, an unidentified glycolipid, an unidentified phospholipid and an unidentified aminolipid. The major fatty acids of strain CBS1P-1T were C18  1  ω7c, C16  0 and C19  0 cyclo ω8c. Phylogenetic analyses based on 16S rRNA gene sequences showed that strain CBS1P-1T was most related to Pseudooceanicola antarcticus CGMCC 1.12662T with a sequence similarity of 96.5 %. The average nucleotide identity and digital DNA-DNA hybridization values between strain CBS1P-1T and P. selleck chemical antarcticus 1.12662T were 77.5 and 21.1 %, respectively. The G+C content of the genomic DNA was 67.3 mol%. Based on phylogenetic, chemotaxonomic and phenotypic data, strain CBS1P-1T is considered to represent a novel species of the genus Pseudooceanicola, for which the name Pseudooceanicola endophyticus is proposed. The type strain is CBS1P-1T (=KCTC 62836T=CGMCC 1.13743T).A novel bacterium, strain SJAQ100T, was isolated from a freshwater aquarium and was characterized taxonomically and phylogenetically. Strain SJAQ100T was a Gram-stain-negative, aerobic, rod-shaped and non-motile bacterium. The strain grew optimally with 0 % NaCl and at 25-37 °C on Reasoner's 2A agar. Phylogenetic analysis based on the 16S rRNA gene sequences revealed that the strain SJAQ100T clustered with members of Burkholderiales incertae sedis in the order Burkholderiales, but sequence similarities to known species were less than 96.5 %. The genomic DNA G+C content of strain SJAQ100T was 71.2 mol%. Genomic comparisons of strain SJAQ100T with species in the order Burkholderiales were made using the Genome-to-Genome Distance Calculator, average nucleotide identity and average amino acid identity analyses (values indicated ≤22.1, ≤78.1, and ≤68.1 % respectively). Strain SJAQ100T contained C16  0 and C16  1  ω7c/C16  1  ω6c as major fatty acids and Q-8 as the major quinone. The major polyamines were putrescine and cadaverine. Strain SJAQ100T contained phosphatidylethanolamine and diphosphatidylglycerol as major polar lipids. link2 Based on the genotypic, chemotaxonomic and phenotypic results, strain SJAQ100T represents a novel genus and species, Aquariibacter albus gen. nov., sp. nov., which belongs to order Burkholderiales and the class Betaproteobacteria. The type strain is SJAQ100T (=KCTC 72203T=CGMCC 1.18869T=MCC 4385T).Xylella fastidiosa is a vector-borne plant vascular pathogen that has caused devastating disease outbreaks in diverse agricultural crops worldwide. A major global quarantine pathogen, X. fastidiosa can infect hundreds of plant species and can be transmitted by many different xylem sap-feeding insects. Several decades of research have revealed a complex lifestyle dependent on adaptation to the xylem and insect environments and interactions with host plant tissues.The current study investigated 304 children from a longitudinal project (the Stress in Pregnancy (SIP) Study) who were exposed and unexposed to Superstorm Sandy ("Sandy") in utero. They were prospectively followed from 2 to 6 years of age and their clinical and adaptive behaviors were assessed annually. Using a hierarchical linear model, the study found that in utero Sandy exposure was associated with greater clinical (anxiety, depression, and somatization) and lower adaptive behaviors (social skills and functional communication) at age 2 years. However, the trajectories were notably different between the two groups. Anxiety increased more rapidly among the exposed than unexposed group at ages 2-4, and depression increased only among the exposed. In contrast, social skills and functional communication were lower in exposed compared to unexposed children at age 2, but quickly increased and exceeded the capacities of unexposed children by age 3. The findings confirm that prenatal Sandy exposure is not only associated with an increase in anxiety, depression, and somatization in offspring, but also with greater adaptive skills as the children got older. Our study demonstrates that while children who have experienced stress in utero demonstrate elevated suboptimal clinical behaviors related to affective disorders, they nevertheless have the potential to learn adaptive skills.Configurational comparative methods (CCMs) and logic regression methods (LRMs) are two families of exploratory methods that employ very different techniques to analyze data generated by causal structures featuring conjunctural causation and equifinality. Aiming for the same by different means carries a substantive synergy potential, which, however, remains untapped so far because representatives of the two frameworks know little of each other. The purpose of this article is to change that. We first level the field for readers from both backgrounds by providing brief introductions to the basic ideas behind CCMs and LRMs. link3 Then, we carve out the strengths and weaknesses of the two method families by benchmarking their performance when applied to binary data under a variety of different discovery contexts. It turns out that CCMs and LRMs have complementary strengths and weaknesses. This creates various promising avenues for cross-validation.Tea is one of the most popular beverage in the world and may be contaminated by fungi and mycotoxins during processing. To analyse aflatoxin B1 (AFB1) and sterigmatocystin (STC) in three types of tea, a simple, fast, sensitive and reliable method of these two myxotoxins was developed. Recoveries obtained ranged from 95.9% to 118.0% and the RSDs were between 0.3% and 11.2%. The range of LODs was 0.2-0.45 µg/kg for AFB1 and 0.04-0.12 µg/kg for STC. The range of LOQs was 0.67-1.73 µg/kg for AFB1 and 0.13-0.40 µg/kg for STC. The optimised procedure was applied to analyse 126 tea samples randomly collected from different markets in China. AFB1 was not detected, but STC was determined in 17 samples with concentrations ranging from 0.13 to 4.48 µg/kg. The detection rate of STC was 5%, 8.9% and 33.3% in black tea, green tea and Oolong tea, respectively.

To investigate the role of infra diaphragmatic intensity-modulated proton therapy (IMPT) compared to volumetric modulated arc therapy (VMAT) for female Hodgkin Lymphoma (HL) patients and to estimate the risk of secondary cancer and ovarian failure.

A comparative treatment planning study was performed on 14 patients, and the results were compared according to conventional dose-volume metrics. In addition, estimates of the excess absolute risk (EAR) of secondary cancer induction were determined for the bowel, the bladder and the rectum. For the ovaries, the risk of ovarian failure was estimated.

The dosimetric findings demonstrate the equivalence between VMAT and IMPT in terms of target coverage. A statistically significant reduction of the mean and near-to-maximum doses was proven for the organs at risk. The EAR ratio estimated for IMPT to VMAT was 0.51 ± 0.32, 0.32 ± 0.35 and 0.05 ± 0.11 for the bowel, bladder and rectum, respectively. Concerning the risk of ovarian failure for the chronologic age ranging from 18 to 46 years, the expected net loss in fertility years ranged from 4.8 to 3.0 years for protons and 12.0 to 5.7 years for photons.

This in-silico study confirmed the beneficial role of IMPT from a dosimetric point of view. Mathematical models suggested that the use of protons might be further advantageous due to the expected reduction of the risk of secondary cancer induction and its milder impact on the reduction of fertility.

This in-silico study confirmed the beneficial role of IMPT from a dosimetric point of view. Mathematical models suggested that the use of protons might be further advantageous due to the expected reduction of the risk of secondary cancer induction and its milder impact on the reduction of fertility.

Low triiodothyronine syndrome (LT3S) is a common endocrine disease in preterm neonates. Various serious acute or chronic diseases result in LT3S. Few studies have investigated the causal relationship between perinatal factors and LT3S in preterm neonates with a gestational age (GA) of 28-35 weeks. The present study comprehensively analyzed the perinatal factors of LT3S in preterm neonates.

This was a retrospective study of neonates with and without LT3S from January 2018 to November 2019. Compared to 206 preterm neonates without LT3S, 158 neonates were diagnosed with LT3S, excluding neonates with congenital malformations, other endocrine diseases, genetic diseases and inherited metabolic diseases.

Five perinatal risk factors for LT3S were confirmed using univariate and multivariate analyses smaller gestational age, lower birth weight, respiratory distress syndrome (RDS), neonatal sepsis, and dopamine use.

LT3S in preterm neonates was associated with multiple perinatal factors, including smaller gestatcurrence of LT3S and improve the outcomes.Key MessageFew studies have investigated the relationship between perinatal factors and Low triiodothyronine syndrome (LT3S) in preterm neonates with a gestational age (GA) of 28-35 weeks.LT3S was associated with multiple perinatal factors, including smaller gestational age, lower birth weight, respiratory distress syndrome (RDS), sepsis, and dopamine use.Critiques of antidepressants in public spaces such as print media, blogs, social media, websites, and radio and television programs are now commonplace. Such critiques typically center on issues such as the side effects and risks of antidepressants, overblown claims of effectiveness, the fallacy of the chemical imbalance hypothesis, overprescribing, and the availability of equally or more effective nonmedication interventions for depression. In this article, we employ a discursive analysis to show how online commenters fashion a particular counter-argument to these critiques. Prominent in this counter-argument is that only "real" depression benefits from antidepressants, and that a "one-size-does-not-fit-all" understanding of these medications is needed. We argue that, while this nuanced counter-critique contains features that make it difficult to undermine, it simultaneously embeds many unanswered questions.Objective To evaluate the relationship between self-reported and performance-based measures of functioning in rheumatoid arthritis (RA), knee osteoarthritis (OA), and fibromyalgia (FM), and the influence of pain and fatigue.Method Self-reported functioning was assessed by the Stanford Health Assessment Questionnaire, Fibromyalgia Impact Questionnaire, and Knee injury and Osteoarthritis Outcome Score. Performance-based measures of task-related physical activity included grip strength and Six-Minute Walk Test (6MWT). Assessment of Motor and Process Skills (AMPS) was used to obtain performance-based measures of activities of daily living (ADL) ability. Pain and fatigue were assessed by 100 mm visual analogue scales. Spearman's rho correlation and regression modelling were applied.Results Correlations between self-reported functioning and performance-based measures of ADL ability were weak to moderate, and strongest in OA (r = 0.57, p = 0.002), and AMPS ADL ability measures did not enter regression models as explanatory factors for self-reported functioning.

Autoři článku: Dehnsimpson4215 (Crowell Foldager)