scholarly journals Computational and experimental study of classification of a mixture of dissimilar components

Vestnik IGEU ◽  
2020 ◽  
pp. 56-63
Author(s):  
A.Ye. Barochkin ◽  
A.N. Belyakov ◽  
H. Otwinowski ◽  
T. Wylecial ◽  
E.V. Barochkin
Keyword(s):  
Experimental Study ◽  
Physical Properties ◽  
Optimization Problems ◽  
Systems Dynamics ◽  
Classification Problems ◽  
Relevant Issue ◽  
Separation Technology ◽  
The Difference ◽  
Main Component

The classification of particles by size is traditionally considered in relation to homogeneous materials, which must be divided into coarse and fine products. However, often there are the impurities in the material that differ in their physical properties from the base component. When classifying such mixtures, the difference in physical properties can be used to isolate, purify, or enrich the main component. The choice of the technology for such processing dissimilar components is possible based on simple and adequate models. The formulation and solution of classification problems for mixtures of dissimilar components on the basis of adequate models is the relevant issue for the power industry and related industries. Fundamental laws of dispersed systems dynamics are used to simulate the classification process; mathematical programming methods are used to identify models and improve separation technology. Experimental study of the separation of a mixture of dissimilar components in a two-stage classifying system has been carried out. Using the obtained experimental data, the model was identified, and its adequacy was shown. The presented experimental results and computational model can be used to formulate and solve optimization problems of fractionation of dispersed materials and to increase the efficiency of the process in classifying systems. The results obtained can be used in the energy, chemical and other industries to improve the efficiency of resource and energy-saving technologies for obtaining dispersed products with acceptable content of impurities.

scholarly journals Phylogeny and Toxin Profile of Freshwater Pufferfish (Genus Pao) Collected from 2 Different Regions in Cambodia

Toxins ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 689
Author(s):  
Hongchen Zhu ◽  
Akinori Yamada ◽  
Yui Goto ◽  
Linan Horn ◽  
Laymithuna Ngy ◽  
...  
Keyword(s):  
Scientific Information ◽  
Amino Acid Level ◽  
Species Classification ◽  
Toxin Concentration ◽  
Phnom Penh ◽  
The Difference ◽  
Main Component ◽  
Accumulation Ability

The species classification of Cambodian freshwater pufferfish is incomplete and confusing, and scientific information on their toxicity and toxin profile is limited. In the present study, to accumulate information on the phylogeny and toxin profile of freshwater pufferfish, and to contribute to food safety in Cambodia, we conducted simultaneous genetic-based phylogenetic and toxin analyses using freshwater pufferfish individuals collected from Phnom Penh and Kratie (designated PNH and KTI, respectively). Phylogenetic analysis of partial sequences of three mitochondrial genes (cytochrome b, 16S rRNA, and cytochrome c oxidase subunit I) determined for each fish revealed that PNH and KTI are different species in the genus Pao (designated Pao sp. A and Pao sp. B, respectively). A partial sequence of the nuclear tributyltin-binding protein type 2 (TBT-bp2) gene differentiated the species at the amino acid level. Instrumental analysis of the toxin profile revealed that both Pao sp. A and Pao sp. B possess saxitoxins (STXs), comprising STX as the main component. In Pao sp. A, the toxin concentration in each tissue was extremely high, far exceeding the regulatory limit for STXs set by the Codex Committee, whereas in Pao sp. B, only the skin contained high toxin concentrations. The difference in the STX accumulation ability between the two species with different TBT-bp2 sequences suggests that TBT-bp2 is involved in STX accumulation in freshwater pufferfish.

Relative Darboux Theorem for Singular Manifolds and Local Contact Algebra

2005 ◽  
Vol 57 (6) ◽  
pp. 1314-1340 ◽  
Author(s):  
M. Zhitomirskii
Keyword(s):  
Contact Structure ◽  
Complete Solution ◽  
Contact Manifold ◽  
Simple Explanation ◽  
Classification Problems ◽  
Local Contact ◽  
The Difference ◽  
Contact Algebra ◽  
Contact Space

AbstractIn 1999 V. Arnol’d introduced the local contact algebra: studying the problem of classification of singular curves in a contact space, he showed the existence of the ghost of the contact structure (invariants which are not related to the induced structure on the curve). Our main result implies that the only reason for existence of the local contact algebra and the ghost is the difference between the geometric and (defined in this paper) algebraic restriction of a 1-form to a singular submanifold. We prove that a germ of any subset N of a contact manifold is well defined, up to contactomorphisms, by the algebraic restriction to N of the contact structure. This is a generalization of the Darboux-Givental’ theoremfor smooth submanifolds of a contactmanifold. Studying the difference between the geometric and the algebraic restrictions gives a powerful tool for classification of stratified submanifolds of a contact manifold. This is illustrated by complete solution of three classification problems, including a simple explanation of V. Arnold's results and further classification results for singular curves in a contact space. We also prove several results on the external geometry of a singular submanifold N in terms of the algebraic restriction of the contact structure to N. In particular, the algebraic restriction is zero if and only if N is contained in a smooth Legendrian submanifold of M.

scholarly journals Investigating the effect of sports on motor skills in children Çocuklarda sporun motor beceri üzerine etkisinin incelenmesi

2017 ◽  
Vol 14 (4) ◽  
pp. 4300 ◽  
Author(s):  
Rüçhan İri ◽  
Zait Burak Aktuğ
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Physical Properties ◽  
Body Mass ◽  
Motor Skills ◽  
Full Text ◽  
Lower Number ◽  
Number Of Children ◽  
The Difference

The purpose of this study was to determine the motor skills (MS) of the children doing licensed sports for 3 days a week for at least 2 years, and to reveal the difference of MS between the children who did and did not do sports. Totally 396 children (female=211, male=185) between 10-14 years old were participated in the study. Motor skills of the children who participated into the study were measured with Körperkoordinationstest für Kinder (KTK), and their body mass index (BMI) was calculated using the formula of [weight (kg)/height (m2)]. Independent t-test was used to determine the difference between physical properties, and motor skills of the children who did and did not do sports. According to obtained data, it was determined that KTK sub-dimensions and total KTK score (TotalKTK) was statistically and significantly higher in favor of children who did sports (p<0.05). Moreover, it was determined that in the classification of total TotalKTK scores was through the percentiles/percentages, the number of children who did sports was higher in high and good categories and was lower number in very low category. Consequently, it was specified/determined that guiding the children towards a sports branch or physical activity was significant factor in developing their motor skills.Extended English abstract is in the end of Full Text PDF (TURKISH) file. ÖzetYapılan çalışmanın amacı; bir spor branşında lisanlı olarak spor yapan çocukların motor becerilerinin (MB) belirlenmesi ve spor yapan çocuklar ile spor yapmayan çocuklar arasındaki MB farkının ortaya konmasıdır. Çalışmaya 10-14 yaş arasında gönüllü toplam 396 (kız=211, erkek=185) çocuk katılmıştır. Çalışmaya katılan çocukların MB’leri Körperkoordinationstest für Kinder (KTK) ile vücut kütle indeksleri (VKİ) ise [vücut ağırlığı (kg)/boy (m2)] formülü ile belirlenmiştir. Spor yapan çocuklar ile spor yapmayan çocukların fiziksel özellikleri ve MB’leri arasındaki farklılığın belirlenmesi için independent t testi kullanılmıştır. Elde edilen sonuçlara göre KTK alt boyutları ve toplam KTK skorunun (ToplamKTK) spor yapan çocuklar lehine istatiksel olarak anlamlı şekilde yüksek olduğu belirlenmiştir (p<0.05). Ayrıca ToplamKTK skorlarının yüzdelik dilimler aracılığı ile sınıflandırılmasında spor yapan çocukların yüksek ve iyi kategorilerinde daha fazla, çok düşük kategorisinde ise daha az sayıda olduğu tespit edilmiştir. Sonuç olarak; çocukların bir spor branşına ya da fiziksel aktiviteye yönlendirilmesinin çocukların MB’lerini geliştirmede önemli bir faktör olduğu belirlenmiştir.

Depression, pain, and site:

1999 ◽  
Vol 15 (1) ◽  
pp. 10-17
Author(s):  
Molina Omar Franklin ◽  
Tavares Gimenes Pablo ◽  
Aquilino Raphael ◽  
Rank Rise ◽  
Coelho Santos Zeila ◽  
...  
Keyword(s):  
Visual Analogue Scale ◽  
Beck Depression Inventory ◽  
Temporomandibular Disorders ◽  
Analogue Scale ◽  
Epidemiological Data ◽  
Depression Severity ◽  
Internal Joint ◽  
The Difference ◽  
Biomechanical Tests

Objective: To assess the level of depression, severity of pain and pain in single/multiple sites in patients with different severity of bruxing behavior and Temporomandibular Disorders (TMDs). Methods: We evaluated 131 patients with bruxism and TMDs: 20 patients with mild bruxism, 42 patients with moderate bruxism, 45 patients with severe bruxism and 24 patients with extreme bruxism. We used the Beck Depression Inventory (BDI), clinical examination, a questionnaire of clinical epidemiological data, criteria for TMDs and bruxism, palpation of muscles and joints, the Visual Analogue Scale for pain, classification of the occlusion and biomechanical tests to assess for internal joint derangements. Results: The level of depression increased from the mild, to the moderate, severe and extreme bruxing behavior groups, but the difference was significant only from the mild to the extreme group (p<0.001). Pain levels increased from the mild and moderate to the severe and extreme subgroups, but were not statistically significant. Mean number of pain sites increased from the mild, to the moderate, severe and extreme subgroup and the difference was extremely significant (p<0.0001). Conclusion: Levels of depression, severity of pain and pain sites increased with severity of bruxing behavior. A higher number of pain sites with more severe bruxism indicates somatization in bruxers, but a further study using the same protocol and a psychological test for somatization would be indicated to further substantiate these findings.

scholarly journals Improving Land Cover Classification Using Genetic Programming for Feature Construction

2021 ◽  
Vol 13 (9) ◽  
pp. 1623
Author(s):  
João E. Batista ◽  
Ana I. R. Cabral ◽  
Maria J. P. Vasconcelos ◽  
Leonardo Vanneschi ◽  
Sara Silva
Keyword(s):  
Land Cover ◽  
Genetic Programming ◽  
Satellite Images ◽  
State Of The Art ◽  
Binary Classification ◽  
Feature Construction ◽  
Classification Problems ◽  
Construction Methods ◽  
Box Models

Genetic programming (GP) is a powerful machine learning (ML) algorithm that can produce readable white-box models. Although successfully used for solving an array of problems in different scientific areas, GP is still not well known in the field of remote sensing. The M3GP algorithm, a variant of the standard GP algorithm, performs feature construction by evolving hyperfeatures from the original ones. In this work, we use the M3GP algorithm on several sets of satellite images over different countries to create hyperfeatures from satellite bands to improve the classification of land cover types. We add the evolved hyperfeatures to the reference datasets and observe a significant improvement of the performance of three state-of-the-art ML algorithms (decision trees, random forests, and XGBoost) on multiclass classifications and no significant effect on the binary classifications. We show that adding the M3GP hyperfeatures to the reference datasets brings better results than adding the well-known spectral indices NDVI, NDWI, and NBR. We also compare the performance of the M3GP hyperfeatures in the binary classification problems with those created by other feature construction methods such as FFX and EFS.

The Classification of Parauapebas Meteorite: Petrological, Mineralogical and Elemental Compositions and Physical Properties

2021 ◽  
pp. 105250
Author(s):  
Amanda A. Tosi ◽  
Maria Elizabeth Zucolotto ◽  
Wania Wolff ◽  
Julio C. Mendes ◽  
Sergio Suárez ◽  
...  
Keyword(s):  
Physical Properties ◽  
Elemental Compositions

scholarly journals MultiKOC: Multi-One-Class Classifier Based K-Means Clustering

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 134
Author(s):  
Loai Abdallah ◽  
Murad Badarna ◽  
Waleed Khalifa ◽  
Malik Yousef
Keyword(s):  
Clustering Algorithm ◽  
Main Idea ◽  
Molecular Classification ◽  
Positive Sample ◽  
Classification Problems ◽  
Multiple Cancer ◽  
Multiple Tumor ◽  
One Class Classifier ◽  
The Given

In the computational biology community there are many biological cases that are considered as multi-one-class classification problems. Examples include the classification of multiple tumor types, protein fold recognition and the molecular classification of multiple cancer types. In all of these cases the real world appropriately characterized negative cases or outliers are impractical to achieve and the positive cases might consist of different clusters, which in turn might lead to accuracy degradation. In this paper we present a novel algorithm named MultiKOC multi-one-class classifiers based K-means to deal with this problem. The main idea is to execute a clustering algorithm over the positive samples to capture the hidden subdata of the given positive data, and then building up a one-class classifier for every cluster member’s examples separately: in other word, train the OC classifier on each piece of subdata. For a given new sample, the generated classifiers are applied. If it is rejected by all of those classifiers, the given sample is considered as a negative sample, otherwise it is a positive sample. The results of MultiKOC are compared with the traditional one-class, multi-one-class, ensemble one-classes and two-class methods, yielding a significant improvement over the one-class and like the two-class performance.

The Experimental Study on the Inhibition Effect of Fusarium oxyspomm with Bio-Slurry Based on Material Properties

2013 ◽  
Vol 675 ◽  
pp. 317-321
Author(s):  
Meng Ying Fang ◽  
Li Chun Liu ◽  
Fang Yin ◽  
Wu Di Zhang ◽  
Shi Qing Liu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Material Properties ◽  
Water Soluble ◽  
Inhibition Mechanism ◽  
Main Subject ◽  
Soluble Substance ◽  
Inhibition Effect ◽  
Water Soluble Substance ◽  
Main Component ◽  
Better Than

Using petroleum ether to extract the fermentative fluid (bio-slurry), then to get the inhibition mechanism of it, and infer which is the main component in inhibition mechanism of biogas. The conclusion found by the experiment is that fat soluble substance is better than water soluble substance in inhibition mechanism, and fat soluble substance is close to 75% biogas fermentation fluid, while water soluble substance is worst. That is to say, the main subject in inhibition mechanism is hided in the fat soluble substance.

Sign in / Sign up

Export Citation Format

Share Document