scholarly journals Students Mistakes Analysis of the Tenth- Grade in Interpretation Verbal Expressions into Algebraic Equations and Quantities: تحليل أخطاء طلبة الصّف العاشر الأساسي في ترجمة التعابير اللفظية إلى معادلات ومقادير جبرية

2021 ◽  
Vol 5 (51) ◽  
pp. 37-16
Author(s):  
Kholood Mohammad Almassadeh Kholood Mohammad Almassadeh
Keyword(s):  
Teaching Strategy ◽  
Algebraic Expression ◽  
Age Group ◽  
Algebraic Equations ◽  
Mathematical Concepts ◽  
Test Items ◽  
Tenth Grade ◽  
Training Courses ◽  
Selection Of

The study aims to detecting the mistakes of the tenth- grade student's interpretation verbal expressions into algebraic equations and quantities and vice versa, identify and analyze common students’ mistakes. The researcher used the descriptive approach and applied the study to a sample that formed of (100) female students of the tenth grade from Fatima Bint Al Khattab Secondary School, that affiliated to the Directorate of Education for First Zarqa District. A test was prepared - in two models, each model included 3 paragraphs - in phrasing of algebraic equations and quantities and vice versa into verbal expressions and vice versa, and it was applied to two divisions of the tenth- grade. The results have indicated to a classification of students' most common mistakes at the level of all test items, which were arranged in descending order: Common mistakes in interpretation the verbal phrases of addition, subtraction or multiplication into algebraic symbols: repeated by (39%) within the six test paragraphs, followed by mistakes in mathematical concepts, repeated by (29%), followed by the mistake: Confusion between an equation and an algebraic expression, repeated by (25%). The study also found, through checking the percentages of common mistakes, that the students were unimproved in an interpretation the verbal formulation within a story or phrase into algebraic symbols, or formulating equations or algebraic expressions in a verbal phrase, in a story or a life’s situation. In light of the results, several recommendations were suggested, the most important were as following: Application and execution of the teachers for the teaching strategy by using common students’ mistakes, and the committees based on curriculum development and design should take into account the selection of appropriate words for each age group, when phrasing verbal mistakes, and to ensure that they are linguistically and orthographically correct. Based on the development and design of curricula, choosing appropriate words for each age group, when formulating verbal mistakes, and ensuring that they are linguistically and orthographically correct. It was also proposed to hold training courses for teachers, in order to train them on the use of the developed programs to address common students' mistakes in mathematics, such as Drive program and Roll Space program.

Use of photodynamic therapy for photodamage skin (review of literature)

2019 ◽  
Vol 1 (7) ◽  
pp. 19-23
Author(s):  
S. I. Surkichin ◽  
N. V. Gryazeva ◽  
L. S. Kholupova ◽  
N. V. Bochkova
Keyword(s):  
Photodynamic Therapy ◽  
Comparative Evaluation ◽  
Clinical Manifestations ◽  
Light Sources ◽  
Review Of Literature ◽  
Photosensitizing Agents ◽  
Selection Of

The article provides an overview of the use of photodynamic therapy for photodamage of the skin. The causes, pathogenesis and clinical manifestations of skin photodamage are considered. The definition, principle of action of photodynamic therapy, including the sources of light used, the classification of photosensitizers and their main characteristics are given. Analyzed studies that show the effectiveness and comparative evaluation in the selection of various light sources and photosensitizing agents for photodynamic therapy in patients with clinical manifestations of photodamage.

Philosophcal review of h. white̕s tropological theory in the context of the new philosophy of history

2020 ◽  
Vol 3 (152) ◽  
pp. 92-99
Author(s):  
S. M. Geiko ◽  
◽  
O. D. Lauta
Keyword(s):  
Modern Science ◽  
Historical Knowledge ◽  
Text Organization ◽  
The Social ◽  
History Of ◽  
Actual Material ◽  
The Common ◽  
Historical Nature ◽  
Selection Of

The article provides a philosophical analysis of the tropological theory of the history of H. White. The researcher claims that history is a specific kind of literature, and the historical works is the connection of a certain set of research and narrative operations. The first type of operation answers the question of why the event happened this way and not the other. The second operation is the social description, the narrative of events, the intellectual act of organizing the actual material. According to H. White, this is where the set of ideas and preferences of the researcher begin to work, mainly of a literary and historical nature. Explanations are the main mechanism that becomes the common thread of the narrative. The are implemented through using plot (romantic, satire, comic and tragic) and trope systems – the main stylistic forms of text organization (metaphor, metonymy, synecdoche, irony). The latter decisively influenced for result of the work historians. Historiographical style follows the tropological model, the selection of which is determined by the historian’s individual language practice. When the choice is made, the imagination is ready to create a narrative. Therefore, the historical understanding, according to H. White, can only be tropological. H. White proposes a new methodology for historical research. During the discourse, adequate speech is created to analyze historical phenomena, which the philosopher defines as prefigurative tropological movement. This is how history is revealed through the art of anthropology. Thus, H. White’s tropical history theory offers modern science f meaningful and metatheoretically significant. The structure of concepts on which the classification of historiographical styles can be based and the predictive function of philosophy regarding historical knowledge can be refined.

Using clusterization principles for the selection of repair sections of main oil pipelines based on diagnostic data

2011 ◽  
Vol 8 (1) ◽  
pp. 201-210
Author(s):  
R.M. Bogdanov
Keyword(s):  
Cluster Analysis ◽  
Defect Density ◽  
Density Variation ◽  
Distance Functions ◽  
Oil Pipeline ◽  
Oil Pipelines ◽  
Classification Of Images ◽  
Main Oil Pipeline ◽  
Selection Of

The problem of determining the repair sections of the main oil pipeline is solved, basing on the classification of images using distance functions and the clustering principle, The criteria characterizing the cluster are determined by certain given values, based on a comparison with which the defect is assigned to a given cluster, procedures for the redistribution of defects in cluster zones are provided, and the cluster zones parameters are being changed. Calculations are demonstrating the range of defect density variation depending on pipeline sections and the universal capabilities of linear objects configuration with arbitrary density, provided by cluster analysis.

Negative Staining: a Valuable Technique for Studying Subcellular Components

1997 ◽  
Vol 3 (S2) ◽  
pp. 341-342
Author(s):  
Sara E. Miller
Keyword(s):  
Negative Staining ◽  
Cell Organelles ◽  
Preparation Time ◽  
Nucleic Acid Probes ◽  
Virus Identification ◽  
High Particle ◽  
Thin Sectioning ◽  
Particle Counts ◽  
Selection Of

Negative staining is the most frequently used procedure for preparing particulate specimens, e.g., cell organelles, macromolecules, and viruses, for electron microscopy (Figs. 1-4). The main advantage is that it is rapid, requiring only minutes of preparation time. Another is that it avoids some of the harsh chemicals, e.g., organic solvents, used in thin sectioning. Also, it does not require advanced technical skill. It is widely used in virology, both in classification of viruses as well as diagnosis of viral diseases. Notwithstanding the necessity for fairly high particle counts, virus identification by negative staining is advantageous in not requiring specific reagents such as antibodies, nucleic acid probes, or protein standards which necessitate prior knowledge of potential pathogens for selection of the proper reagent. Furthermore, it does not require viable virions as does growth in tissue culture. Another procedure that uses negative contrasting is ultrathin cryosectioning (Fig. 5).In 1954 Farrant was the first to publish negatively stained material, ferritin particles.

scholarly journals Multi-Class Assessment Based on Random Forests

2021 ◽  
Vol 11 (3) ◽  
pp. 92
Author(s):  
Mehdi Berriri ◽  
Sofiane Djema ◽  
Gaëtan Rey ◽  
Christel Dartigues-Pallez
Keyword(s):  
Higher Education ◽  
Machine Learning ◽  
Random Forests ◽  
Learning Algorithm ◽  
Teaching Staff ◽  
Machine Learning Algorithm ◽  
Process Data ◽  
Training Courses ◽  
Education Courses

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses adapted to students by anticipating their possible difficulties. This is possible thanks to a machine learning algorithm called Random Forest, allowing for the classification of the students depending on their results. We had to process data, generate models using our algorithm, and cross the results obtained to have a better final prediction. We tested our method on different use cases, from two classes to five classes. These sets of classes represent the different intervals with an average ranging from 0 to 20. Thus, an accuracy of 75% was achieved with a set of five classes and up to 85% for sets of two and three classes.

scholarly journals Monotonic Functions Method and Its Application to Staging of Patients with Prostate Cancer According to Pretreatment Data

2021 ◽  
Vol 11 (9) ◽  
pp. 3836
Author(s):  
Valeri Gitis ◽  
Alexander Derendyaev ◽  
Konstantin Petrov ◽  
Eugene Yurkov ◽  
Sergey Pirogov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Learning Algorithm ◽  
Binary Classification ◽  
Preoperative Staging ◽  
Threshold Value ◽  
Logical Function ◽  
Adequate Treatment ◽  
Monotonic Functions ◽  
Selection Of

Prostate cancer is the second most frequent malignancy (after lung cancer). Preoperative staging of PCa is the basis for the selection of adequate treatment tactics. In particular, an urgent problem is the classification of indolent and aggressive forms of PCa in patients with the initial stages of the tumor process. To solve this problem, we propose to use a new binary classification machine-learning method. The proposed method of monotonic functions uses a model in which the disease’s form is determined by the severity of the patient’s condition. It is assumed that the patient’s condition is the easier, the less the deviation of the indicators from the normal values inherent in healthy people. This assumption means that the severity (form) of the disease can be represented by monotonic functions from the values of the deviation of the patient’s indicators beyond the normal range. The method is used to solve the problem of classifying patients with indolent and aggressive forms of prostate cancer according to pretreatment data. The learning algorithm is nonparametric. At the same time, it allows an explanation of the classification results in the form of a logical function. To do this, you should indicate to the algorithm either the threshold value of the probability of successful classification of patients with an indolent form of PCa, or the threshold value of the probability of misclassification of patients with an aggressive form of PCa disease. The examples of logical rules given in the article show that they are quite simple and can be easily interpreted in terms of preoperative indicators of the form of the disease.

scholarly journals Trends and Rural-Urban Differences in Asthma Hospitalizations in Saskatchewan 1970-1989

1994 ◽  
Vol 1 (4) ◽  
pp. 229-234 ◽  
Author(s):  
A Senthilselvan
Keyword(s):  
Regression Models ◽  
Age Groups ◽  
Age Group ◽  
Hospitalization Rates ◽  
Rural And Urban ◽  
Asthma Hospitalization ◽  
Group Sex ◽  
Rate Ratios ◽  
Rural Dwellers

OBJECTIVE: To examine the trends in hospitalization rates for atsthma in Saskatchewan from 1970 to 1989 and to investigate the differences in asthma hospitalization rates between rural and urban dwellers.DESIGN: Asthma hospitalization rates were calculated for the age groups O to 4, 5 to 9. 10 to 14, 15 to 24. 25 to 34. 35 to 49 and 50 to 64 years for the period between 1970 and 1989. Only the first admission in each year for each person was included in the analysis. As the classification of asthma changed in 1978. trends in asthma hospitalization rates were investigated separately for the periods 1970 to 1978 and 1979 to 1989. respectively. Rate ratios were obtained for male/female and rural/urban comparisons by fitting Poisson regression models.SETTING: The hospitalization data for respiratory diseases for the province of Saskatchewan were examined by age group, sex and place or residence.RESULT: No significant increases were observed in asthma hospitalization rates lrorn 1970 to 1978. In the period 1979 to 1989. asthma hospitalization rates increased significantly among children under four years from 4.31/1000 in 1979 to 7.04/1000 in 1989. Among children under 14 years. asthma hospitalization rates were greater in boys than in girls . The converse was true for adults aged 15 and above, with women having a higher hospitalization rate for asthma than men . In adults aged 35 and above. rural dwellers had higher hospitalization rates for asthma than urban dwellers throughout the study period. In other age groups, although rural dwellers had higher asthma hospitalization rates than did urban dwellers during 1970 to 1984. the differences disappered duri ng 1985 to 1989.CONCLUSION: Further studies are required to find reasons for the increase in asthma hospitalizations among young children under four years old and for the differences between rural and urban dwellers in the age group 35 years and above.

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