M-13-1
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| Category | Antibiotics |
| Catalog number | BBF-03631 |
| CAS | |
| Molecular Weight | 348.35 |
| Molecular Formula | C21H16O5 |
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Description
It is an anthracycline antibiotic derived from Nocardia brasiliensis IFM-0075.
Specification
| Synonyms | 4,11-Dihydroxy-2,8-dimethyl-7-methoxynaphthacene-5,12-dione |
| IUPAC Name | 1,6-dihydroxy-10-methoxy-3,9-dimethyltetracene-5,12-dione |
| Canonical SMILES | CC1=C(C2=CC3=C(C(=C2C=C1)O)C(=O)C4=C(C3=O)C(=CC(=C4)C)O)OC |
| InChI | InChI=1S/C21H16O5/c1-9-6-13-16(15(22)7-9)19(24)14-8-12-11(18(23)17(14)20(13)25)5-4-10(2)21(12)26-3/h4-8,22-23H,1-3H3 |
| InChI Key | KMNQQYHCTVIZOS-UHFFFAOYSA-N |
Properties
| Appearance | Orange Powder |
| Boiling Point | 601.3±55.0°C at 760 mmHg |
| Density | 1.4±0.1 g/cm3 |
Reference Reading
1. Predictors of placement disruptions in foster care
Allison Vreeland, John S Ebert, Tarah M Kuhn, Kathy A Gracey, April M Shaffer, Kelly H Watson, Meredith A Gruhn, Lauren Henry, Lindsay Dickey, Rachel E Siciliano, Allegra Anderson, Bruce E Compas Child Abuse Negl. 2020 Jan;99:104283. doi: 10.1016/j.chiabu.2019.104283. Epub 2019 Nov 22.
Background: Many children who are removed from a dangerous or neglectful home and placed in state custody subsequently experience additional disruptions while in custody, which can compound the effects of ongoing stress and instability. As such, placement stability has been identified as a critical objective and a key indicator of success for children residing in substitutive care. Objective: To examine the utility of child protective services data in identifying predictors of placement disruption. Participants and setting: The current study examined data from youth in Tennessee state custody who had been assessed using the Child and Adolescent Needs and Strengths (CANS) assessment within 30-days of their first, out-of-home placement. The sample included 8,853 youth ages 5-19 years old (M = 13.1; SD = 4.0; 44.8 % female). Methods: Demographics, placement information, and the CANS assessment were collected by the Tennessee Department of Children's Services for all child welfare episodes for children as part of the system's usual standard of care. Bivariate correlation and linear regression models were conducted. Results: Multiple risk indices from the CANS appeared to significantly increase risk of placement disruption, including child internalizing and externalizing symptoms, school difficulties, youth affect dysregulation, and child age. Conclusions: The current findings suggest that data collected as part of standard practice by child welfare workers such as the CANS is both feasible and has utility for identifying sources of risk for placement disruptions and to inform possible targets of intervention to enhance placement stability.
2. The influence of genre on adolescent discourse skills: Do narratives tell the whole story?
Elizabeth Hill, Anne Whitworth, Mark Boyes, Monique Ziegelaar, Mary Claessen Int J Speech Lang Pathol. 2021 Oct;23(5):475-485. doi: 10.1080/17549507.2020.1864016. Epub 2021 Feb 19.
Purpose: Narrative is the dominant focus of traditional standardised discourse assessment, yet the complex discourse needs of adolescence has led to increased interest in profiling skills in other monologic genres for this age group. This interest is not commensurate with a robust understanding of the influence of genre on adolescent discourse across word to whole-text language features. This knowledge is important to inform context(s) for assessment to profile strengths and weaknesses in discourse-level language.Method: One hundred and sixty adolescents between 12 and 15 years (M= 13;1, SD= 1;1, 55% female, 45% male) completed the Curtin University Discourse Protocol - Adolescent. Samples of recount, narrative, expository and persuasive discourse were coded using a multi-level analysis procedure.Result: Genre had a significant influence on language variables regardless of age. Narrative tasks citied the longest, most lexically diverse, cohesive, coherent and well-structured output. Results were consistent with the oral to literate continuum and the order in which genres are introduced in the academic curriculum.Conclusion: Structure, content and domain-specific knowledge likely influenced the genre-related differences seen in this study. It would be advantageous to sample a range of monologic genres when assessing adolescent discourse. Declarative knowledge may be an important consideration in topic selection.
3. Comparative Analysis of Pelletized and Unpelletized Sunflower Husks Combustion Process in a Batch-Type Reactor
Tomasz Turzyński, Jacek Kluska, Mateusz Ochnio, Dariusz Kardaś Materials (Basel). 2021 May 11;14(10):2484. doi: 10.3390/ma14102484.
This paper describes characteristics of the combustion of sunflower husk (SH), sunflower husk pellets (SHP), and, for comparison, hardwood pellets (HP). The experiments were carried out using a laboratory-scale combustion reactor. A proximate analysis showed that the material may constitute an alternative fuel, with a relatively high heating value (HHV) of 18 MJ/kg. For SHP, both the maximum combustion temperatures (TMAX = 1110 °C) and the kinetic parameters (temperature front velocity vt = 7.9 mm/min, combustion front velocity vc = 8 mm/min, mass loss rate vm = 14.7 g/min) of the process were very similar to those obtained for good-quality hardwood pellets (TMAX = 1090 °C, vt = 5.4 mm/min, vc = 5.2 mm/min, vm = 13.2 g/min) and generally very different form SH (TMAX = 840 °C, vt = 20.7 mm/min, vc = 19 mm/min, vm = 13.1 g/min). The analysis of ash from SH and SHP combustion showed that it has good physicochemical properties (ash melting point temperatures >1500 °C) and is safe for the environment. Furthermore, the research showed that the pelletization of SH transformed a difficult fuel into a high-quality substitute for hardwood pellets, giving a similar fuel consumption density (Fout = 0.083 kg/s·m2 for SHP and 0.077 kg/s·m2 for HP) and power output density (Pρ = MW/m2 for SHP and 1.5 MW/m2 for HP).
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Bio Calculators
* Our calculator is based on the following equation:
Concentration (start) x Volume (start) = Concentration (final) x Volume (final)
It is commonly abbreviated as: C1V1 = C2V2
* Total Molecular Weight:
g/mol
Tip: Chemical formula is case sensitive. C22H30N4O √ c22h30n40 ╳
