Web of Synergy: International Interdisciplinary Research Journal
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Formation of Connotative Meaning in Literary Texts on the Basis of Metaphor and Metonymy
No full textThis article briefly describes the connotative meanings of the lexical units used in the poetry of A. Oripov and E. Vahidov. Expression of connotative meaning in poets' poems by lexical methods is studied on the example of poets' poems
Some Issues of the System of Tax Liabilities
No full textThe article studied tax obligations by the author and their importance in regulating tax relations. Also, the tax legislation of Uzbekistan gives an assessment of the characteristics of the system of tax obligations. The development of a personality society requires improving the system of various socio-economic relations that arise between the state and citizens in accordance with that period. Tax liabilities are also considered to be subject to continuous improvement, as is the case, based on the requirements of time and space. In addition, the effectiveness of the processes of regulating tax relations in the country is important, for the state, tax administration, which is able to form relations not only in the stable supply of financial resources to the budget, but also in the interaction of the state tax service and taxpayers
Forms, Methods and Methods of Improving Students' Feelings of National Pride and Pride Based on Axiological Approaches
No full textThis article provides methodical instructions for using all the valuable wealth of national wisdom, which includes national customs and traditions, the golden treasure of our people created over the centuries, raising a healthy and well-rounded generation, bringing them up spiritually, morally and physically mature, young people loyal to our national achievements and values, and turning them into an active and enthusiastic participant of the large-scale reforms that are being implemented
Ways to Improve Project Management in the Investment Construction Complex
No full textThis article shows the essence of the investment construction complex, the priority directions and roles of increasing the efficiency of innovative processes. Also, the importance of management accounting information in the process of business planning and project analysis is revealed.
 
Sahaba Buried in Samarkand
No full textThis article provides information about the history of the famous companion Qusam ibn Abbas, his arrival and death in our country, as well as the history of the Shahi Zinda complex, where he was buried.
 
About the Diagnosis of Delaminating Aortic Aneurysms
No full textThe problem of aortic dissection remains relevant to date due to the difficulty of diagnosis and poor prognosis-fatal outcome. In type II aortic dissection, the pain is usually localized behind the sternum and simulates an acute myocardial infarction. This situation is especially often observed in cases where the dissection actually extends to the root of the aorta and contributes to the compression of the coronary arteries, and according to H Borsi, the most common pain syndrome in type I aortic dissection according to De Bekey has to be differentiated from the process of dissection of coronary vessels and thus disorders of coronary circulation
Social Psychological Significance of Family Values in Human Life
No full textThe article discusses about the different effects of family rituals, values, customs and traditions on human psychology. Child upbringing in the family, honesty, friendship and mutual relations between relatives are mentioned in the article.
 
Design and Implementation of Medical Sleep Stimulator Device
No full textMedical sleep stimulator device project is a DIY project that aims to create a device that generates a magnetic field similar to the natural magnetic fields found in the earth's environment. The device is meant to be placed under the pillow and has a built-in timer to help induce sleep. The basic idea is that exposure to natural magnetic fields can promote a healthy sleep environment, and the circuit in this project attempts to replicate this effect. However, it's important to note that the scientific evidence supporting the use of magnetic fields to promote sleep is limited, and there are potential health risks associated with prolonged exposure to electromagnetic fields. As with any biomedical device, it's essential to consult with a qualified expert in the field and thoroughly research the safety and efficacy of such devices before attempting to create or use them
Main Factors Affecting the Production of Biogas during Anaerobic Digestion Process
No full textFossils like coal, natural gas, and oil have been extensively used due to the twentieth century’s worldwide economic growth. These fossils were used as fuels and pharmaceutical raw materials. As a byproduct of combustion, the widespread use of fossil fuels has resulted in massive carbon dioxide releases. The so-called “greenhouse effect” can be attributed to carbon dioxide’s high infrared absorption rate. Biomass-based sustainable energy sources have recently gained prominence due to a growing movement to at least partly substitute oil usage and, by extension, reduce greenhouse gas emissions from the atmosphere. The manufacturing of chemicals could switch to biofuels as a basic substance. One of these renewables is biogas, produced through the anaerobic digestion of various forms of organic waste into natural gas. Temperature, pH, hydraulic retention time (HRT), and other elements are just a few of the key variables studied in the present study that influence biogas output. A portable closed batch process was utilized. Biogas technology produces energy from biological matter or biological waste (substrate) that also benefits human health and the ecosystem. The water displacement technique was used to measure the biogas generated in laboratory-scale trials to determine the biogas yield. Cow dung, potatoes, onions, lettuce, carrots, and cabbage are some substrates used. For two weeks, mesophilic temperatures supported the biogas generation process
Utilising Artificial Intelligence for Disease Classification and Prediction
No full textThe main objective of this research is to investigate the role of artificial intelligence in disease classification and prediction. A brief review of the techniques, algorithms, tools and terminologies that were used in this work has been conducted. Artificial Neural Networks (ANNs) are reviewed to nominate the suitable type for this work.
In this work, a real medical data set has been used. The data set includes 14 attributes, of which 13 independent diagnosis variables and one categorical dependent variable, which is the type of heart disease.
To classify heart disease, a classification model is developed by using TensorFlow in Python. It is found that the classification model is 87% accurate in classifying heart disease. The challenges to implementing this model are explained, such as the data pre-processing, which means that the medical data cannot be used directly as some of them are categorical data that requires encoding before it can be used for the model development procedures.
It is concluded that data sets cannot be directly used after the acquisition because, for example, the data sets may include missing data and faulty readings, and these represent big challenges for the real-time processing and presentation requirements. It is also found that variables of different types, such as logical variables and categorical information, require encoding before using them to build prediction or classification models