A bacterial strain designated YYJ7-1 was isolated from farmland soil in China and characterized using a polyphasic taxonomic approach. Cells of strain YYJ7-1 were Gram-staining-positive, aerobic or facultatively anaerobic, rod-shaped, motile and endospore-forming. Growth occurred at 18-42 °C (optimum at 35 °C), at pH 6.0-8.0 (optimum at pH 7.5) and with 0.0-4.0 % NaCl (optimum with 0.5 %). Phylogenetic analysis based on 16S rRNA gene sequences showed that the strain belonged to the genus Paenibacillus and showed high levels of sequence similarity with respect to Paenibacillus provencensis 4401170 (98.6 %) and Paenibacillus urinalis 5402403 (98.4 %), while lower 16S rRNA gene sequence similarities were observed with all other type strains (97.0 %). However, strain YYJ7-1 showed low DNA-DNA relatedness with P. provencensis 4401170 48.7±4.5 % (43.6±7.1 % in a reciprocal experiment), and P. urinalis 5402403 38.9±5.7 % (35.6±6.8 %). The major cellular fatty acids (>10.0 %) of strain YYJ7-1 were anteiso-C15 : 0, iso-C16 : 0 and anteiso-C17 : 0. The polar lipid profile consisted of phospholipids, diphosphatidylglycerol, phosphatidylglycerol and phosphatidylethanolamine. The major isoprenoid quinone was MK-7. The DNA G+C content was 39.4 mol%. Based on these results, it is concluded that strain YYJ7-1 represents a novel species of the genus Paenibacillus, for which the name Paenibacillus shunpengii sp. nov. is proposed, with YYJ7-1 (=ACCC 19965=KCTC 33849) as the type strain.
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http://dx.doi.org/10.1099/ijsem.0.002484 | DOI Listing |
J Elder Abuse Negl
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Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Elder mistreatment occurs in as many as one-half of the 11 million family care partnerships with persons living with Alzheimer's disease or related dementias (AD/ADRD) in the United States. is an 8-week psychoeducational intervention to prevent psychological mistreatment among family caregivers to persons living with dementia by building healthy caregiving relationships. The investigators conducted a single-arm pre- and posttest study to assess 's feasibility.
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Department of Oncology, Nanjing Drum Tower Hospital, State Key Laboratory of Pharmaceutical Biotechnology, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
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HCA Healthcare Las Palmas/Del Sol Internal Medicine Program.
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Pennsylvania State University, University Park, PA 16802, USA.
X-ray diffraction is ideal for probing the sub-surface state during complex or rapid thermomechanical loading of crystalline materials. However, challenges arise as the size of diffraction volumes increases due to spatial broadening and because of the inability to deconvolute the effects of different lattice deformation mechanisms. Here, we present a novel approach that uses combinations of physics-based modeling and machine learning to deconvolve thermal and mechanical elastic strains for diffraction data analysis.
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