scholarly journals Detection of Carrageenan in Cheese Using Lectin Histochemistry

2021 ◽  
Vol 11 (15) ◽  
pp. 6903
Author(s):  
Marie Bartlová ◽  
Matej Pospiech ◽  
Zdeňka Javůrková ◽  
Bohuslava Tremlová
Keyword(s):  
Limit Of Detection ◽  
Color Space ◽  
Lectin Histochemistry ◽  
Health Impact ◽  
Computer Assisted ◽  
Official Method ◽  
Processed Cheese ◽  
Suitable Parameter ◽  
Assisted Analysis ◽  
Human Inspection

Carrageenan is a substance widely used as an additive in the food industry. Among other things, it is often added to processed cheese, where it has a positive effect on texture. Processing of such cheese involves grinding, melting and emulsifying the cheese. There is currently no official method by which carrageenan can be detected in foodstuffs, but there are several studies describing its negative health impact on consumers. Lectin histochemistry is a method that is used mainly in medical fields, but it has great potential to be used in food analysis as well. It has been demonstrated that lectin histochemistry can be used to detect carrageenan in processed cheese by Human Inspection and Computer-Assisted Analysis (CIE L*a*b*). The limit of detection (LoD) was established at 100 mg kg−1 for Human Inspection and 43.64 for CIE L*a*b*. The CIE L*a*b* results indicate that Computer-Assisted Analysis may be an appropriate alternative to Human Inspection. The most suitable parameter for Computer-Assisted Analysis was the b* parameter in the CIE L*a*b* color space.

Computer-Assisted Analysis of Multi-Color Confocal Microscopic Datasets: Automated Light Microscopic Discrimination of Synaptic Relationships

1996 ◽  
Vol 54 ◽  
pp. 284-285
Author(s):  
M Wessendorf ◽  
A Beuning ◽  
D Cameron ◽  
J Williams ◽  
C Knox
Keyword(s):  
Nerve Fibers ◽  
Confocal Scanning Laser Microscopy ◽  
Computer Assisted ◽  
Nerve Terminals ◽  
Neuronal Somata ◽  
Scanning Laser Microscopy ◽  
Confocal Scanning ◽  
Entire Cell ◽  
Confocal Scanning Laser ◽  
Assisted Analysis

Multi-color confocal scanning-laser microscopy (CSLM) allows examination of the relationships between neuronal somata and the nerve fibers surrounding them at sub-micron resolution in x,y, and z. Given these properties, it should be possible to use multi-color CSLM to identify relationships that might be synapses and eliminate those that are clearly too distant to be synapses. In previous studies of this type, pairs of images (e.g., red and green images for tissue stained with rhodamine and fluorescein) have been merged and examined for nerve terminals that appose a stained cell (see, for instance, Mason et al.). The above method suffers from two disadvantages, though. First, although it is possible to recognize appositions in which the varicosity abuts the cell in the x or y axes, it is more difficult to recognize them if the apposition is oriented at all in the z-axis—e.g., if the varicosity lies above or below the neuron rather than next to it. Second, using this method to identify potential appositions over an entire cell is time-consuming and tedious.

scholarly journals Syllabification of the Divine Comedy

2021 ◽  
Vol 14 (3) ◽  
pp. 1-26
Author(s):  
Andrea Asperti ◽  
Stefano Dal Bianco
Keyword(s):  
Text Processing ◽  
Solution Space ◽  
Generative Models ◽  
Divine Comedy ◽  
Point Of View ◽  
Computer Assisted ◽  
Wide Range ◽  
The Divine Comedy ◽  
Left And Right ◽  
Assisted Analysis

We provide a syllabification algorithm for the Divine Comedy using techniques from probabilistic and constraint programming. We particularly focus on the synalephe , addressed in terms of the "propensity" of a word to take part in a synalephe with adjacent words. We jointly provide an online vocabulary containing, for each word, information about its syllabification, the location of the tonic accent, and the aforementioned synalephe propensity, on the left and right sides. The algorithm is intrinsically nondeterministic, producing different possible syllabifications for each verse, with different likelihoods; metric constraints relative to accents on the 10th, 4th, and 6th syllables are used to further reduce the solution space. The most likely syllabification is hence returned as output. We believe that this work could be a major milestone for a lot of different investigations. From the point of view of digital humanities it opens new perspectives on computer-assisted analysis of digital sources, comprising automated detection of anomalous and problematic cases, metric clustering of verses and their categorization, or more foundational investigations addressing, e.g., the phonetic roles of consonants and vowels. From the point of view of text processing and deep learning, information about syllabification and the location of accents opens a wide range of exciting perspectives, from the possibility of automatic learning syllabification of words and verses to the improvement of generative models, aware of metric issues, and more respectful of the expected musicality.

scholarly journals Chiming In: A Computer-Assisted Analysis of Popular Musicians’ Political Engagement on Twitter

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110190
Author(s):  
Josephine Lukito ◽  
Luis Loya ◽  
Carlos Dávalos ◽  
Jianing Li ◽  
Chau Tong ◽  
...  
Keyword(s):  
Case Studies ◽  
Hip Hop ◽  
Political Engagement ◽  
Future Research ◽  
Computer Assisted ◽  
Christian Music ◽  
Political Issues ◽  
Qualitative Case Studies ◽  
Systematic Examination ◽  
Assisted Analysis

While music as an artistic form is well studied, the individuals behind the art receive relatively less attention. In this article, we provide evidence of celebrity advocacy with a systematic examination of musicians’ political engagement on Twitter. This study estimates the extent to which musicians use Twitter for political purposes, with particular attention to whether such engagement varies across music genres. Through a computational-assisted analysis of 2,286,434 tweets, we group 881 musicians into three categories of political engagement on Twitter: not engaged (comprising the majority of artists), circumstantial engagement, and active political engagement. We examine the latter categories in detail with two qualitative case studies. The findings indicate that musicians from different genres have distinct patterns of political engagement. The Christian music genre shows the most engagement as a whole, especially in philanthropy. On the contrary, the most active accounts are rock and hip-hop artists, some of whom discuss political issues and call for mobilization. We conclude with suggestions for future research.

Reactivation of Tritonated Models of Human Polymorphonuclear Leukocytes (PMNs): A Computer-Assisted Analysis

1985 ◽  
Vol 38 (2) ◽  
pp. 203-211 ◽  
Author(s):  
Anthony T.W. Cheung ◽  
Michael E. Miller ◽  
Richard M. Donovan ◽  
Elliot Goldstein ◽  
Gregory M. Kimura
Keyword(s):  
Polymorphonuclear Leukocytes ◽  
Computer Assisted ◽  
Human Polymorphonuclear Leukocytes ◽  
Assisted Analysis

scholarly journals Analysis of anticoagulants for blood-based quantitation of amyloid β oligomers in the sFIDA assay

2017 ◽  
Vol 398 (4) ◽  
pp. 465-475 ◽  
Author(s):  
Kateryna Kravchenko ◽  
Andreas Kulawik ◽  
Maren Hülsemann ◽  
Katja Kühbach ◽  
Christian Zafiu ◽  
...  
Keyword(s):  
Blood Plasma ◽  
Limit Of Detection ◽  
Amyloid Β ◽  
Distribution Analysis ◽  
Aβ Oligomers ◽  
Quantitative Measurements ◽  
Suitable Parameter ◽  
Edta Plasma ◽  
Soluble Aβ Oligomers ◽  
Parameter Values

Abstract Early diagnostics at the preclinical stage of Alzheimer’s disease is of utmost importance for drug development in clinical trials and prognostic guidance. Since soluble Aβ oligomers are considered to play a crucial role in the disease pathogenesis, several methods aim to quantify Aβ oligomers in body fluids such as cerebrospinal fluid (CSF) and blood plasma. The highly specific and sensitive method surface-based fluorescence intensity distribution analysis (sFIDA) has successfully been established for oligomer quantitation in CSF samples. In our study, we explored the sFIDA method for quantitative measurements of synthetic Aβ particles in blood plasma. For this purpose, EDTA-, citrate- and heparin-treated blood plasma samples from five individual donors were spiked with Aβ coated silica nanoparticles (Aβ-SiNaPs) and were applied to the sFIDA assay. Based on the assay parameters linearity, coefficient of variation and limit of detection, we found that EDTA plasma yields the most suitable parameter values for quantitation of Aβ oligomers in sFIDA assay with a limit of detection of 16 fM.

Computer assisted analysis of 2-DG autoradiographs

1982 ◽  
Vol 6 (4) ◽  
pp. 409-420 ◽  
Author(s):  
C.R. Gallistel ◽  
C.T. Piner ◽  
T.O. Allen ◽  
N.T. Adler ◽  
E. Yadin ◽  
...  
Keyword(s):  
Computer Assisted ◽  
Assisted Analysis
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