THE ROLE OF THE PSYCHOLOGIST IN COMPLEX FORENSIC PSYCHOLOGICAL AND PSYCHIATRIC EXPERTISE

Makhmudova Khulkar Tilabovna

This article examines the criteria of expert-psychologist's competences in conducting a complex psychological-psychiatric examination. The article focuses on the tendency of objective interpretation of expert opinions based on legal legislation.

07.02.2023 Volume 2 Issue 2 View more Download

EDUCATION OF CHILDREN IN THE SPIRIT OF PATRIOTISM AND FRIENDSHIP OF PEOPLES IN THE FAMILY

Adhamjon Abdurashidov, Karimova Munsakhon

The system of preschool education is the initial link in the education system of the Republic of Uzbekistan. The main trend in the development of the educational process in modern conditions is the transition from education for the state to the education of self-awareness of the individual. At the same time, understanding by citizens of the strategy of political, socio-economic and spiritual development of the Republic of Uzbekistan is of particular importance.

07.02.2023 Volume 2 Issue 2 View more Download

PROBLEMS OF SOCIAL INTERACTION OF TEACHERS AND STUDENTS ON THE BASIS OF COOPERATION

Shirbacheeva Gulchekhra Shakirovna

In this article, the social interaction of teachers and students in a higher educational institution is revealed as the result of mutually agreed single actions that cause a feedback and include the goals of the activity, the social situation represented by the means of education and the atmosphere of the university. In the process of which teachers and students try to understand or more accurately "unravel" each other's intentions by analyzing their actions and relying on their past experience in similar situations.

07.02.2023 Volume 2 Issue 2 View more Download

PHONETIC COMPETENCE OF STUDENTS AND ITS CONTENT

Marufov Elyor Uktamovich

This article discusses English phonetics and its branches, proper pronunciation of the words, components of the phonetic competence and the pronunciation rules of sounds,letters,words and phonological system of the English language.

07.02.2023 Volume 2 Issue 2 View more Download

BASIC COMPETENCIES THAT SHOULD BE DEVELOPED IN PHYSICS TEACHERS

Ubaydullayeva Vazira Patchakhanovna

The article deals with issues related to the formation of basic competencies that should be developed by a physics teacher.

07.02.2023 Volume 2 Issue 2 View more Download

IR-SPECTROSCOPIC ANALYSIS OF THE COORDINATION COMPOUNDS OF ZINC NITRATE WITH BENZAMIDE AND UREA

Lobar Sharipova, Farangiz Mamatova

Monotype ligand coordination compounds of zinc nitrate with benzamide and urea were synthesized. The synthesis is carried out by mechanochemical (solid-phase) method, which does not require the use of scarce solvents as in the synthesis stage, so and cases when highlighting the main product and allows for a short time to synthesize complexes of various compositions. The composition and individuality of the synthesized compounds were established by elemental analysis. Using vibrational spectroscopy method resulting for coordinating organic ligand have been proven, water molecules surroundings of the central ion of the complex compounds. Based on the data of IR spectroscopy, it was found that the molecules of benzamide and urea coordinated with the central atom through an oxygen atoms, and anions of nitric acid are coordinated by two oxygen atoms of the nitro group – bidentantly

07.02.2023 Volume 2 Issue 2 View more Download

COMBINED METHOD OF CLEANING WASTEWATER FROM ORGANOPHOSPHORUS PESTICIDES

Abdumalikova Kh.B., Pulatov Kh.L.

The article describes the proposed effective method for the combined treatment of wastewater from the production of organophosphorus pesticides. The combination of wastewater ozonation with biological treatment has been shown to provide high efficiency.

07.02.2023 Volume 2 Issue 2 View more Download

THE USING OF SPECIAL RELATIVITY IN NAVIGATION AND ATC

Alexander Petrovich Plyasovskikh, Yuri Grigorievich Shatrakov, Oleg Ivanovich Sauta, Yuri Timofeevich Krivoruchko, Georgy Alekseevich Kryzhanovsky, Ivan Nikolaevich Shestakov, Alexander Yurievich Knyazhsky, Artem Yurievich Vinnikov, Veniamin Gennadievich Lugovoi, Vladislav Yurievich Davidenko, Alexander Evgenievich Khizhnichenko, Egor Sergeevich Shcherbakov

JSC All-Russian Research Institute of Radio Equipment (VNIIRA) conducted a practical experiment to measure the rate of the observed rate of moving clocks located on aircraft performing flights. It was experimentally confirmed that, according to observations, the clock moving towards the observer goes faster than its stationary clock, and the clock moving away from the observer, according to observations, goes slower than the stationary ones. It turned out that SRT contradicts this experimental fact: in accordance with SRT, moving clocks in all cases (regardless of the direction of movement) are observed to go slower than stationary ones. The relevance of the experiment is due to the fact that at present SRT formulas are widely used in works on satellite navigation systems. Meanwhile, it is well known that the use of erroneous formulas in the development of navigation and surveillance systems in the aviation and space industries can lead, at best, to a deterioration in the performance characteristics of these systems. In the worst case, this may affect the decrease in the level of safety of aviation and space flights, lead to accidents and catastrophes in aviation and astronautics, to significant economic losses and human casualties. The work consists of two parts. The first part presents the theoretical foundations of the experiment. The continuation (in the second part) presents the results of the experiment. The experiment was carried out using the Avrora-2 monopulse secondary surveillance radar manufactured by JSC VNIIRA, which provides high-precision measurement of the time intervals between the moments of transmitting a request and receiving response signals from aircraft transponders. The paper presents reliable formulas that should be used instead of the corresponding SRT formulas, which contradict the experimental data.

07.02.2023 Volume 2 Issue 2 View more Download

DISORDER OF THE MENSTRUAL CYCLE - CAUSES, SYMPTOMS, CLASSIFICATION, TREATMENT METHODS

Rakhimova Madina Mannonovna

The rhythmic repetitive processes in the female body associated with hormones and accompanied by menstrual bleeding are called the menstrual cycle. During the menstrual cycle, changes occur in a woman's body aimed at providing the necessary conditions for the beginning of pregnancy and its completion. The formation of the menstrual function depends on the period of puberty (adolescence). Usually, menarche (first menstruation) is observed at the age of 11-14 years, after which the regularity of the menstrual cycle is established for 1 to 1.5 years.

06.02.2023 Volume 2 Issue 2 View more Download

DIABETES PREDICTION USING MACHINE LEARNING

Atadjanova Nozima Sultan-Muratovna, Abdukhakimov Fayzulla Kudratulla ugli

Diabetes is a chronic disease which occurs when the level of glucose rises above a certain amount. In other words, this is the case when the pancreas stops producing the necessary amount of insulin which controls the level of blood glucose. According to International Diabetes Federation, almost 382 million people are living with diabetes across the whole world. By 2035, the number of people with diabetes is forecast to increase up to 592 million. Diabetes is considered to be the major cause of blindness, stroke, kidney failure and many other fatal illnesses. When we consume food, our blood turns the food into sugar, or glucose. At that point, our pancreas normally releases a hormone called insulin. Insulin allows the glucose from a person’s food to access the cells in their body to supply energy. However, when a person has diabetes, this system does not work. It is generally known that Type 1 and Type 2 are the most common forms of diabetes among the elderly as well as adults, but there are also other forms such as gestational diabetes which occurs during pregnancy, and others. Machine learning is becoming a leading scientific filed in data science dealing with the ways in which machines themselves learn from experience and gradually develop. The purpose of this project is to develop a system which enables to diagnose diabetes in patients at early stage so that doctors can prevent serious consequences effectively. There are various algorithms such as K nearest neighbor, Logistic Regression, Decision Tree, Super Vector Machine and others to predict illness with high accuracy. In this project, we have decided to use Super Vector Machine algorithm in order to predict diabetes based on several symptoms in patients, and we have used a dataset which involves the symptoms of diabetes.

06.02.2023 Volume 2 Issue 2 View more Download