in 9.2% of patients. To develop and validate a dense feature fusion neural network (DFuNN) to automatically recognize different sequences and phases of liver magnetic resonance imaging (MRI). In total, 3869 sequences and phases from 384 liver MRI examinations, divided into training/validation (n = 2886 sequences from 287 patients) and test (n = 983 sequences from 97 patients) sets, were used in this retrospective study. Ten unenhanced sequences and enhanced phases were included. Manual sequence recognition, performed by two radiologists (20 and 10years of experience) in a consensus reading, was used as the reference standard. The sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve (AUC) were calculated to evaluate the performance of the DFuNN on an identical unseen test set. Finally, we evaluated the factors impacting the model precision. A fusion block improved the performance of the DFuNN. DFuNN with a fusion block achieved good recognition performance for both complete and incomplete sequences and phases in the test set. The average sensitivity of recognition performance for complete sequence and phase inputs ranged from 88.06 to 100%, the average specificity ranged from 99.12 to 99.94%, and the median accuracy ranged from 98.02 to 99.95%. The DFuNN prediction accuracy for patients without cirrhosis were significantly higher than those for patients with cirrhosis (P = 0.0153). No significant difference was found in the accuracy across other factors. DFuNN can automatically and accurately identify specific unenhanced MRI sequences and enhanced MRI phases. DFuNN can automatically and accurately identify specific unenhanced MRI sequences and enhanced MRI phases.Uterine leiomyomas, more commonly known as fibroids, are the most common neoplasms of the uterus. These tumors have a profound effect on health care and cost worldwide. Depending on the race, uterine leiomyomas can be seen in 70-80% of all women. Although majority of the women with uterine leiomyomas remain asymptomatic, approximately 30% can present with symptoms. Diagnosing typical leiomyomas on imaging is straightforward. However, when large, located extrauterine and especially with degeneration, the diagnosis can be challenging on imaging. In this article, apart from reviewing the demographics and management of patients with leiomyomas, we describe in detail the imaging appearance of various atypical leiomyomas, uncommon locations outside the uterus and their important differential diagnosis that can have a profound effect on patient management. This study investigated the clinical outcomes and follow-up results of venous sinus stenting (VSS) for constrictive dural sinus restoration in patients with intracranial dural arteriovenous fistulas (DAVFs). We hypothesized that this treatment would have durable benefits in such patients. Patients who underwent VSS for DAVFs with cortical venous reflux between January 2008 and June 2020 were identified after aretrospective review (n=18). Clinical and endovascular treatment data and follow-up information were reviewed. The mean age of the 18patients was 59.9 years. Stents were implanted in 10 previously occluded sinuses and 9 stenotic sinuses in addition to endovascular embolization. One patient received bilateral VSS. Subdural hemorrhage occurred in one patient after recanalization for embolization, followed by uneventful stenting. In 17patients with clinical follow-up, the median follow-up time was 59.5 months (interquartile range 18 to 84months). Of these, sixteen patients had follow-up vascular imaging, revealing AVF obliteration in 6patients (38%) and stent patency in11 (69%). Retreatment was performed for8 (50%) patients. The mean follow-up modified Rankin scale score was 1.28. All patients had longstanding symptomatic improvement. Restoration of sinus flow in DAVFs with cortical venous reflux through VSS has an acceptable complication rate and long-term symptomatic control; however, retreatment is often required, and stent occlusion is not uncommon. Restoration of sinus flow in DAVFs with cortical venous reflux through VSS has an acceptable complication rate and long-term symptomatic control; however, retreatment is often required, and stent occlusion is not uncommon.In both underwater and semi-aquatic environments, the gut microbiota is of particular physiological importance for amphibious animals, given that the gut tract is among those organs in direct communication with the external environment. In this study, we examined the effects of these contrasting environments on the dominant bacteria in the guts of the amphibious mudskipper Boleophthalmus pectinirostris. Compared with the guts of normal mudskippers, in which the dominant bacteria were identified as Vibrio and Faecalibacterium, we found that Acinetobacter, Shigella, and Bacillus predominated in their guts after exposure to the semi-aquatic environment, whereas Escherichia, Bacteroides, and Bacillus were more prevalent in the guts in the underwater environment. The total number of cultured gut bacteria decreased significantly in the semi-aquatic environment. In semi-aquatic mudskippers, we also detected reductions and increases in the length and width of gut villi, respectively, whereas the width of gut villi de underwater and semi-aquatic conditions, thereby providing a theoretical basis explaining the maintenance of a homeostatic state in mudskippers that constantly transition between these contrasting amphibious habitats.Two GH117 family α-neoagarobiose hydrolases (GH117A α-NABH and GH117B α-NABH) from the freshwater agar-degrading Cellvibrio sp. KY-GH-1 were expressed and purified as recombinant His-tagged proteins using an Escherichia coli expression system to compare activities. The amino acid sequence of GH117A α-NABH (364 amino acids, 40.9 kDa) showed 35% identity with that of GH117B α-NABH (392 amino acids, 44.2 kDa). GH117A α-NABH, but not GH117B α-NABH, could hydrolyze neoagarobiose (NA2) into monosaccharides 3,6-anhydro-L-galactose (L-AHG) and D-galactose. The presence of GH117A α-NABH homologues in all of the agar-degrading bacteria aligned suggests that GH117A α-NABH hydrolyzing NA2 into L-AHG and D-galactose is an essential component of the agar-degrading enzyme machinery. For GH117A α-NABH-catalyzed hydrolysis, NA2 was the sole substrate among various neoagaro-oligosaccharides (NA2~NA18). GH117A α-NABH appeared to exist as a dimer, and optimal enzymatic temperature and pH were 35 °C and 7.5, respectively. https://www.selleckchem.com/products/jzl184.html GH117A α-NABH was stable up to 35 °C and at pH 7.