Influence of Sample Thickness and Individual Characteristics of Each Cow on Milk Composition Measurement in the Spectral Region from 700 to 1,100 nm

The milk analyse result reliability is important for assurance of foodstuff chain quality. There are more direct and indirect methods for milk composition measurement (fat (F), protein (P), lactose (L) and solids non fat (SNF) content). The goal was to evaluate some reference and routine milk analytical procedures on result basis. The direct reference analyses were: F, fat content (Röse–Gottlieb method); P, crude protein content (Kjeldahl method); L, lactose (monohydrate, polarimetric method); SNF, solids non fat (gravimetric method). F, P, L and SNF were determined also by various indirect methods: – MIR (infrared (IR) technology with optical filters), 7 instruments in 4 labs; – MIR–FT (IR spectroscopy with Fourier’s transformations), 10 in 6; – ultrasonic method (UM), 3 in 1; – analysis by the blue and red box (BRB), 1 v 1. There were used 10 reference milk samples. Coefficient of determination (R2), correlation coefficient (r) and standard deviation of the mean of individual differences (MDsd, for n) were evaluated. All correlations (r; for all indirect and alternative methods and all milk components) were significant (P ≤ 0.001). MIR and MIR–FT (conventional) methods explained considerably higher proportion of the variability in reference results than the UM and BRB methods (alternative). All r average values (x minus 1.64 × sd for 95% confidence interval) can be used as standards for calibration quality evaluation (MIR, MIR–FT, UM and BRB): – for F 0.997, 0.997, 0.99 and 0.995; – for P 0.986, 0.981, 0.828 and 0.864; – for L 0.968, 0.871, 0.705 and 0.761; – for SNF 0.992, 0.993, 0.911 and 0.872. Similarly MDsd (x plus 1.64 × sd): – for F 0.071, 0.068, 0.132 and 0.101%; – for P 0.051, 0.054, 0.202 and 0.14%; – for L 0.037, 0.074, 0.113 and 0.11%; – for SNF 0.052, 0.068, 0.141 and 0.204.

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SEM evaluation of the TEM cold-stage double-film specimen

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100111471 ◽

1984 ◽

Vol 42 ◽

pp. 272-273

Author(s):

Jayesh Bellare

Keyword(s):

Spatial Distribution ◽

Sample Preparation ◽

Sample Thickness ◽

Specimen Preparation ◽

Preparation Technique ◽

Liquid Sample ◽

Thin Specimen ◽

Sample Preparation Technique ◽

Cold Stage ◽

Film Specimen

Seeing is believing, but only after the sample preparation technique has received a systematic study and a full record is made of the treatment the sample gets.For microstructured liquids and suspensions, fast-freeze thermal fixation and cold-stage microscopy is perhaps the least artifact-laden technique. In the double-film specimen preparation technique, a layer of liquid sample is trapped between 100- and 400-mesh polymer (polyimide, PI) coated grids. Blotting against filter paper drains excess liquid and provides a thin specimen, which is fast-frozen by plunging into liquid nitrogen. This frozen sandwich (Fig. 1) is mounted in a cooling holder and viewed in TEM.Though extremely promising for visualization of liquid microstructures, this double-film technique suffers from a) ireproducibility and nonuniformity of sample thickness, b) low yield of imageable grid squares and c) nonuniform spatial distribution of particulates, which results in fewer being imaged.

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Slip traces caused by plastic deformation during recrystallization of thin metal sheets

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100170839 ◽

1994 ◽

Vol 52 ◽

pp. 620-621

Author(s):

H. Lin ◽

D. P. Pope

Keyword(s):

Grain Size ◽

Grain Boundaries ◽

Sample Thickness ◽

List Type ◽

Metal Sheets ◽

Second Phases ◽

Slip Traces ◽

Series Of Experiments ◽

Cold Rolled ◽

Individual Grains

During a study of mechanical properties of recrystallized B-free Ni3Al single crystals, regularly spaced parallel traces within individual grains were discovered on the surfaces of thin recrystallized sheets, see Fig. 1. They appeared to be slip traces, but since we could not find similar observations in the literature, a series of experiments was performed to identify them. We will refer to them “traces”, because they contain some, if not all, of the properties of slip traces. A variety of techniques, including the Electron Backscattering Pattern (EBSP) method, was used to ascertain the composition, geometry, and crystallography of these traces. The effect of sample thickness on their formation was also investigated.In summary, these traces on the surface of recrystallized Ni3Al have the following properties:1.The chemistry and crystallographic orientation of the traces are the same as the bulk. No oxides or other second phases were observed.2.The traces are not grooves caused by thermal etching at previous locations of grain boundaries.3.The traces form after recrystallization (because the starting Ni3Al is a single crystal).4.For thicknesses between 50 μm and 720 μm, the density of the traces increases as the sample thickness decreases. Only one set of “protrusion-like” traces is visible in a given grain on the thicker samples, but multiple sets of “cliff-like” traces are visible on the thinner ones (See Fig. 1 and Fig. 2).5.They are linear and parallel to the traces of {111} planes on the surface, see Fig. 3.6.Some of the traces terminate within the interior of the grains, and the rest of them either terminate at or are continuous across grain boundaries. The portion of latter increases with decreasing thickness.7.The grain size decreases with decreasing thickness, the decrease is more pronounced when the grain size is comparable with the thickness, Fig. 4.8.Traces also formed during the recrystallization of cold-rolled polycrystalline Cu thin sheets, Fig. 5.

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The Influence of Language Context on Repetitive Speech Use in Children With Autism Spectrum Disorder

American Journal of Speech-Language Pathology ◽

10.1044/2019_ajslp-19-00003 ◽

2020 ◽

Vol 29 (1) ◽

pp. 327-334 ◽

Cited By ~ 1

Author(s):

Allison Gladfelter ◽

Cassidy VanZuiden

Keyword(s):

Autism Spectrum Disorder ◽

Autism Spectrum ◽

Individual Characteristics ◽

Receptive Vocabulary ◽

Spectrum Disorder ◽

School Age Children ◽

Social Responsiveness ◽

Contributing Factors ◽

Children With Asd ◽

Language Context

Purpose Although repetitive speech is a hallmark characteristic of autism spectrum disorder (ASD), the contributing factors that influence repetitive speech use remain unknown. The purpose of this exploratory study was to determine if the language context impacts the amount and type of repetitive speech produced by children with ASD. Method As part of a broader word-learning study, 11 school-age children with ASD participated in two different language contexts: storytelling and play. Previously collected language samples were transcribed and coded for four types of repetitive speech: immediate echolalia, delayed echolalia, verbal stereotypy, and vocal stereotypy. The rates and proportions of repetitive speech were compared across the two language contexts using Wilcoxon signed-ranks tests. Individual characteristics were further explored using Spearman correlations. Results The children produced lower rates of repetitive speech during the storytelling context than the play-based context. Only immediate echolalia differed between the two contexts based on rate and approached significance based on proportion, with more immediate echolalia produced in the play-based context than in the storytelling context. There were no significant correlations between repetitive speech and measures of social responsiveness, expressive or receptive vocabulary, or nonverbal intelligence. Conclusions The children with ASD produced less immediate echolalia in the storytelling context than in the play-based context. Immediate echolalia use was not related to social skills, vocabulary, or nonverbal IQ scores. These findings offer valuable insights into better understanding repetitive speech use in children with ASD.

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Predicting Stock Market Performance

Journal of Individual Differences ◽

10.1027/1614-0001/a000330 ◽

2020 ◽

pp. 1-10

Author(s):

Thomas Plieger ◽

Thomas Grünhage ◽

Éilish Duke ◽

Martin Reuter

Keyword(s):

Stock Market ◽

Risk Taking ◽

Life Stress ◽

Price Volatility ◽

Individual Characteristics ◽

Self Report ◽

Financial Behavior ◽

Market Simulation ◽

Stock Market Performance ◽

Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

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