scholarly journals Tank farm backlog soil sample analysis plan

1996 ◽  
Author(s):  
J.D., Westinghouse Hanford Ahlers
Keyword(s):  
Soil Sample ◽  
Sample Analysis ◽  
Tank Farm

scholarly journals A Woman with a Sword? – Weapon Grave at Suontaka Vesitorninmäki, Finland

2021 ◽  
pp. 1-19
Author(s):  
Ulla Moilanen ◽  
Tuija Kirkinen ◽  
Nelli-Johanna Saari ◽  
Adam B. Rohrlach ◽  
Johannes Krause ◽  
...  
Keyword(s):  
Gender Identity ◽  
Soil Sample ◽  
Sample Analysis ◽  
Early Medieval ◽  
Chromosomal Aneuploidy ◽  
Modern Analysis ◽  
New Interpretation ◽  
Adna Analysis

In 1968, a weapon grave with brooches was found at Suontaka Vesitorninmäki, Hattula, Finland. Since then, the grave has been interpreted as evidence of powerful women, even female warriors and leaders in early medieval Finland. Others have denied the possibility of a woman buried with a sword and tried to explain it as a double burial. We present the first modern analysis of the grave, including an examination of its context, a soil sample analysis for microremains, and an aDNA analysis. Based on these analyses, we suggest a new interpretation: the Suontaka grave possibly belonged to an individual with sex-chromosomal aneuploidy XXY. The overall context of the grave indicates that it was a respected person whose gender identity may well have been non-binary.

scholarly journals Electrochemical sensing base for hazardous herbicide aclonifen using gadolinium niobate (GdNbO4) nanoparticles-actual river water and soil sample analysis

2021 ◽  
Vol 207 ◽  
pp. 111285
Author(s):  
Praveen Kumar Gopi ◽  
Bhuvanenthiran Mutharani ◽  
Shen-Ming Chen ◽  
Tse-Wei Chen ◽  
Gaber E. Eldesoky ◽  
...  
Keyword(s):  
Soil Sample ◽  
River Water ◽  
Electrochemical Sensing ◽  
Sample Analysis

scholarly journals Detection and Two-Step Classification of Erosional Damages with Help of Soil Sample Analysis and Satellite Images

Geografie ◽  
1997 ◽  
Vol 102 (1) ◽  
pp. 17-30
Author(s):  
Jaromír Kolejka ◽  
Jásim K. Shallal
Keyword(s):  
Cluster Analysis ◽  
Soil Sample ◽  
Satellite Images ◽  
Surface Soil ◽  
Satellite Image ◽  
Unsupervised Classification ◽  
Sample Analysis ◽  
Free Fields

Surface soil data have been processed using the unsupervised classification (cluster analysis). Three soil categories with different erosional characteristics have been detected: heavily, moderately and slightly/no damaged soils. The supervised satellite image classification (MLC) was based on the data taken from case study areas in the proximity of classified soil sample sites on the vegetation free-fields.

Electro-sensing base for herbicide aclonifen at graphitic carbon nitride modified carbon electrode – Water and soil sample analysis

2019 ◽  
Vol 149 ◽  
pp. 103976 ◽  
Author(s):  
Nagaraj P. Shetti ◽  
Shweta J. Malode ◽  
Pramod R. Vernekar ◽  
Deepti S. Nayak ◽  
Nitinkumar S. Shetty ◽  
...  
Keyword(s):  
Soil Sample ◽  
Carbon Nitride ◽  
Graphitic Carbon ◽  
Graphitic Carbon Nitride ◽  
Carbon Electrode ◽  
Sample Analysis

Assessing Functional Language in School-Aged Children Using Language Sample Analysis

2020 ◽  
Vol 5 (3) ◽  
pp. 622-636
Author(s):  
John Heilmann ◽  
Alexander Tucci ◽  
Elena Plante ◽  
Jon F. Miller
Keyword(s):  
Computer Hardware ◽  
School Age Children ◽  
Functional Language ◽  
School Age ◽  
Clinical Use ◽  
Sample Analysis ◽  
Validity And Reliability ◽  
Language Sample Analysis ◽  
Accuracy And Repeatability ◽  
Language Sample

Purpose The goal of this clinical focus article is to illustrate how speech-language pathologists can document the functional language of school-age children using language sample analysis (LSA). Advances in computer hardware and software are detailed making LSA more accessible for clinical use. Method This clinical focus article illustrates how documenting school-age student's communicative functioning is central to comprehensive assessment and how using LSA can meet multiple needs within this assessment. LSA can document students' meaningful participation in their daily life through assessment of their language used during everyday tasks. The many advances in computerized LSA are detailed with a primary focus on the Systematic Analysis of Language Transcripts (Miller & Iglesias, 2019). The LSA process is reviewed detailing the steps necessary for computers to calculate word, morpheme, utterance, and discourse features of functional language. Conclusion These advances in computer technology and software development have made LSA clinically feasible through standardized elicitation and transcription methods that improve accuracy and repeatability. In addition to improved accuracy, validity, and reliability of LSA, databases of typical speakers to document status and automated report writing more than justify the time required. Software now provides many innovations that make LSA simpler and more accessible for clinical use. Supplemental Material https://doi.org/10.23641/asha.12456719

Issues in Language Sample Collection and Analysis With Children Using AAC

2014 ◽  
Vol 23 (2) ◽  
pp. 65-74 ◽  
Author(s):  
Gail Van Tatenhove
Keyword(s):  
Clinical Practice ◽  
Augmentative And Alternative Communication ◽  
Language Production ◽  
Expressive Language ◽  
Sample Analysis ◽  
Alternative Communication ◽  
Sample Collection ◽  
Speech Language Pathologists ◽  
Language Sample Analysis ◽  
Language Sample

Language sample analysis is considered one of the best methods of evaluating expressive language production in speaking children. However, the practice of language sample collection and analysis is complicated for speech-language pathologists working with children who use augmentative and alternative communication (AAC) devices. This article identifies six issues regarding use of language sample collection and analysis in clinical practice with children who use AAC devices. The purpose of this article is to encourage speech-language pathologists practicing in the area of AAC to utilize language sample collection and analysis as part of ongoing AAC assessment.

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