Value Of Object Research Articles

Research on the thermal management system of battery for electric vehicles

Battery life is one of the most significant indicators of the performance of electric vehicles. The battery life of electric vehicles plays a significant role in the overall performance of the vehicle. Temperature difference and maximum battery temperature are the two major factors affecting battery life, so a system that monitors and regulates battery temperature should be advanced and reasonable. In this paper, we discuss the most commonly used thermal management systems, including air cooling systems, liquid cooling systems, PCM-based cooling systems, and hybrid systems, as well as the newest thermal management systems that have been developed in recent years. It firstly introduces the physical principles applied to the above cooling systems, then analyzes and compares the thermal values of the experimental objects with the help of mathematical models and images, and finally draws conclusions based on the comparison results and briefly. In summary, various thermal management systems have their advantages and disadvantages. For example, air cooling is cost-effective and simple to operate, but it cannot be used for high-power applications due to its inability to dissipate heat. The liquid cooling system is more efficient at dissipating heat than the air cooling system, but its disadvantage is its increased weight and volume. Currently, PCM-based thermal management systems offer the most potential, but they have not been widely used due to their high cost and complexity; the hybrid system can integrate the advantages of various systems, but the difficulty of structural design will be much greater.

A robust index to extract paddy fields in cloudy regions from SAR time series

Timely and accurate mapping of paddy rice cultivation is needed for maintaining sustainable rice production, ensuring food security, and monitoring water usage. Synthetic Aperture Radar (SAR) remote sensing plays an important role in the continuous monitoring and mapping of rice cultivation in cloudy regions since it is not affected by weather conditions. To date, most SAR imagery-based rice mapping methods rely on prior knowledge (e.g., the planting date) and empirical thresholds for specific regions, which limits their applications in large spatial scales. To tackle this limitation, this study proposed a new SAR-based Paddy Rice Index (SPRI) to quantify the probability of land patches planted paddy rice. SPRI fully uses unique features of paddy rice during the transplanting-vegetative period in the Sentinel-1 VH backscatter time series. With the assistance of cloud-free Sentinel-2 images, SPRI can be calculated for each cropland object with adaptive parameters. Then, SPRI values of cropland objects can be converted to paddy rice maps using the binary-classification threshold. The proposed SPRI method was tested at five sites with diverse climate conditions, landscape complexity and cropping systems. Results show that the SPRI was able to produce an accurate classification map with an overall accuracy of over 88% and an F1 score of over 0.86 at all sites. Compared with the existing SAR-based rice mapping methods, our method performed much better in heterogeneous agricultural areas where rice is mosaiced with other crops. As SPRI does not need any prior knowledge, reference samples and many predefined parameters, it has high flexibility and applicability to support paddy rice mapping in large areas, especially for cloudy regions where optical remote sensing data is often not available.

A new method for assessment of regional drought risk: information diffusion and interval mapping adjustment based on k-means cluster points

Abstract Aiming at the defect that there is no ability for the conventional weighted comprehensive assessment method (WCA) to grade drought risk directly, a method based on k-means cluster points to realize the classification of drought risk is proposed in this paper. On the basis of calculating the drought risk value of cluster points, the inverse distance weight interpolation method (IDWI) and multidimensional normal diffusion method (MND) were used to quantify the drought risk value, and the discrimination between the risk value and grade was improved by interval mapping adjustment (IMA). In this paper, the drought risk of Anhui Province from 2000 to 2020 was calculated to verify the above method. The results show that: (1) The drought risk quantification method based on information redistribution of k-means cluster point can not only realize automatic risk classification, but also re-quantify the risk value of the assessment object in the same risk grade, which makes up for the defects that the conventional WCA cannot carry out grade division and the conventional clustering method cannot assign the risk value of the assessment object. (2) The result of information redistribution based on MND is closer to the actual drought situation and more reasonable than IDWI. (3) The dispersion effect of risk value obtained by information redistribution based on k-means cluster point can be improved by the IMA of drought risk. It improves the discrimination degree of risk value, so that the grades can be displayed more intuitively. The defect of the WCA is overcome by the new method proposed in this paper, the follow-up utilization space is widened, and the thinking of risk quantification in drought risk assessment is broadened.

Implementasi Penetapan Nilai Jual Objek Pajak pada Pendapatan Asli Daerah di Kabupaten Banjar Provinsi Kalimantan Selatan

The determination of the NJOP is based on the assessment of the land and property/buildings carried out by the Regional Government. The purpose of this research is to find out how to determine the selling value of tax objects and their implications for land and building tax revenues in Banjar Regency. The method in this research is descriptive. This research was conducted in the working area of Kertak Hanyar and Gambut Districts. The data collection technique used in this research is a field study. The data analysis method used in this research is descriptive quantitative data analysis. The results of this study are that Banjar Regency determines the selling value of the tax object of each taxpayer differently according to the location and condition of the tax object, namely land and buildings. Such as the determination of NJOP in Kertak Hanyar and Gambut Districts, where these two sub-districts are one of the largest contributors to income sourced from PBB Taxes because they are developed sub-districts which are dominated by housing, trade, services, and industry activities. There is a lot of land conversion from agricultural land to other land functions such as housing, business, industry, and services. The determination of land and building NJOP is still an NJOP determination adopted from KPP Pratama since the transfer of Land and Building Tax for Rural and Urban sectors from central tax to local tax on January 1, 2014, until now. UN revenues that have the highest potential are in Kertak Hanyar and Gambut Districts. Local governments must assess and reprocess data, especially between the selling value of tax objects (NJOP) and selling prices that occur in the community, and update PBB objects from previous data, such as non-taxable tax objects (public facilities) so that the determination of NJOP become more relevant. Local governments need to re-establish NJOP for data that has not been subject to PBB, or updating existing data will increase the selling value of tax objects that are the basis for imposing PBB.

Amortization of intangible assets: innovations of Federal Accounting Standard 14/2022 “Intangible assets”

Starting from the financial statements for 2024, all private organizations, including medical ones, will accrue depreciation of intangible assets in a new way in connection with the entry into force of the new Federal Accounting Standard 14/2022 “Intangible Assets”. The article is devoted to the analysis of each of the three possible methods ща amortization — linear, the method of the reduced balance and in proportion to the amount of products (volume of works (services)). The peculiarities of amortization of intangible assets were revealed when using each of these methods, it was noted that the Federal Accounting Standard introduces a new concept for intangible assets — the liquidation value of an intangible asset object, the amount of which directly affects the amount of depreciation deductions. Practical examples of calculation of the depreciation amount according to Federal Accounting Standard 14/2022 were considered.

A Reverse Modification Method for Binary Code and Data.

This paper reveals the hidden dangers of reverse data modifications on distributed software with network synchronization, during the era of 5G, which may occur in more important domains, such as telemedicine and automatic driving. We used pseudo-codes to formally elaborate the distributed software architectures and design patterns. It is necessary to deal with three challenges for the modification of binary code and data in the distributed software architectures: (1) the base virtual addresses of software objects are changed frequently for safety; (2) prior knowledge of the reverse is not considered; (3) system memory values of some target objects are changed with extreme speed. For this purpose, a novel reverse modification method for binary code and data is proposed. According to the knowledge-based rules, our method can manipulate physical data, sight data, animation data, etc., while the game synchronization mechanism cannot detect the changes. The implementation details of our method are presented using high-level programming languages (C++) and low-level programming languages (assembly), based on multiple snippets, so that readers can understand both the overall distributed software developments and the corresponding reverse processes. In particular, two network games are used for the demonstrations in this paper. The demonstration results show that our proposed methodology is efficient (as proved by formulas and practices) to manipulate the codes and data of distributed software using a synchronization mechanism.

A military fleet mix problem for high-valued defense assets: A simulation-based optimization approach

The military fleet mix problem is traditionally used when several modernization operations are required to transition a force from an outdated fleet to a more modern one over a planning period. The main objective of such a transition is to enhance the capability of a military fleet to deploy its forces for missions at any moment by continually improving its operational readiness with minimum cost and time. The complexity of the problem is significantly increased with the increase in the number of assets to be modernized, sub-divisions (Brigades) and the length of the planning period. In this paper, to effectively address the fleet mix problem in the military context, a simulation–optimization approach is introduced with the aim of providing decision-makers with a fleet modernization schedule that enables the military to achieve maximum deployment of its available assets/forces while minimizing the total cost and full deployment time. The proposed approach uses a combination of (1) an enhanced genetic algorithm (GA) to generate initial solutions, explore and exploit the generated solutions till achieving the optimal one, and (2) a capability simulation model to evaluate each solution and determine its quality. Furthermore, the proposed GA comprises several enhanced components to further improve its performance and hence find the optimal solution in lesser computational time. (a) A heuristic repairing method, to provide feasible solutions through repairing a certain number of solutions from the initial population which can significantly guide GA search towards (near-)optimal solutions, (b) a new solution representation, that better represents the fleet schedule decision variables and characteristics, (c) improved designs of crossover and mutations, that can help GA to reach optimum solutions in a faster manner, and (d) new sorting and selection functions, that use many objectives values to allow the better solutions to survive through generations, are all examples of such enhanced GA’s components. The proposed approach has been validated by solving a case study that addresses recent fleet modernization strategies of the Australian Army to recapitalize its forces over the next decade and in a continual process. Two scenarios of the case study with different scales have been used. The experimental results show that the proposed approach can effectively provide efficient modernization fleet schedules for both scenarios which allow the maximum deployment with the minimum cost and time. Compared with traditional GA and Differential Evolution (DE), the proposed approach yields 2.37% and 7.17% more deployability, and 99.59% and 98.81% less total cost than DE and GA, respectively. A surrogate model is also presented to replace the computationally expensive simulation model for fitness evaluation. The results show that the surrogate model can significantly reduce the computational time but its accuracy for expecting the optimal objectives still need more enhancements.

The Metallicity of the Sun Reviewed from Pre-Main Sequence Evolution

Metallicity is defined as the fraction of the abundance of elements heavier than hydrogen and helium. Metallicity has different values for different stellar objects and its value will also change as the star evolves. This research is focused on calculating and analyzing the early metallicity of the Sun, that is at the beginning of the Sun's evolution at the Pre-Main Sequence. Five metallicity samples with an initial mass of 1 M ⊙ were used. This study uses the evolution code MESA r-15140 which produces a Hertzsprung-Russell diagram with various metallicities. From the simulation, it is found that the most suitable metallicity is 0.065. There are four dominant elements at the core of the Sun, namely hydrogen, helium, carbon, and oxygen. The density, pressure, and temperature values at the core of the Sun also increase with age.

Tourism Object Valuation Determined Based on Environmental Services Using Travel Cost Method at Tegal City Alam Indah Beach

Alam Indah Beach is located in a strategic urban coastal area so it has a very high potential to be used as a tourist attraction. This study aims to determine descriptively the analysis of the socio-economic characteristics of visitors and to know quantitatively the economic value of the Alam Indah Beach Tourism Object and the relationship between several variables that affect the number of visits from the object. This research is a quantitative study with primary and secondary data collection through library research and field studies using interviews, observation, and questionnaires. The results of the study reveal that the total cost variable has the most significant influence on the number of tourist visits, reaching 80.27% and resulting in a total consumer surplus of IDR. 130.355.024, willingness to pay of IDR. 136,497, and an economic valuation of IDR. 35,508,314,810. Major economic benefits from tourism activities in Alam Indah beach brings socio economic improvement of the local community. The result of economic value of beach tourism object could be a reference for managers and local governments to balance between beach as a preservation with additional income for local governments and societies.

A multi‐objective parallel layered equalizer for large‐scale lithium ion battery system

The equalisers available are difficult to give consideration to both high balance efficiency and fast balance speed, and their performances are unstable as the number of the series-connected batteries increases, so they are unsuitable for a large-scale battery system. A multi-objective parallel layered equaliser based on battery working states for the large-scale lithium-ion battery system is presented. The equaliser has two types of balance objects and two corresponding layers, and the first layer and the second layer take the single battery and the battery unit as the balance object, respectively. The multi-objective parallel layered balance means that multiple balance objects are selected as the balance objectives simultaneously at each layer. The balance speed is fast due to the multi-objective parallel balance. The balance efficiency is high due to the short energy path and the complementary pulse width modulation (PWM) control in the first layer, and the double voltage value of the balance object in the second layer. Moreover, the performance of the equaliser is stable, even when the number of series-connected batteries is large. In short, the proposed equaliser features high efficiency, fast speed, and strong scalability. Further, the experimental platform for a battery system with twelve series-connected lithium-ion phosphate batteries is built, and then the balance experiments have been completed. Finally, the effectiveness of the equaliser is verified by the corresponding experimental results.

Children expect others to prefer handmade items.

Although children frequently engage in creative activities (in which they make foods and objects by hand), the development and scope of children's thinking about handmade items is largely unexplored. In the present studies, we examined whether 4- to 12-year-old children at a local children's museum (54% girls, 46% boys; 51% White, 11% Asian/Asian American, 10% more than 1 group, 4% Latinx, 3% Black/African American, 18% did not report race/ethnicity) would expect other people to prefer handmade over factory-made items, including foods and nonfoods. In Experiments 1 (n = 124) and 2 (n = 122), participants expected a child character to prefer items the character made themselves and items made by the character's parent or a local person. However, this expectation did not persist at all costs: When considering imperfect handmade items in Experiment 3 (n = 122), children demonstrated a handmade preference when considering nonfoods made by a parent but demonstrated a factory-made preference when considering foods made by a parent. Children's explanations were associated with their choices: When children's explanations referred to emotions or relationships, they were more likely to select handmade items. When children referred to item features, they were more likely to select factory-made items. Across studies, we observed persistent age and gender effects: Children's handmade preference increased with child age and girls demonstrated a more robust handmade preference than boys. These findings highlight children's developing and nuanced reasoning about object value. At an early age, children consider who made an object as a contributor to its value. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Accurate Extraction of Ground Objects from Remote Sensing Image Based on Mark Clustering Point Process

The geometric features of ground objects can reflect the shape, contour, length, width, and pixel distribution of ground objects and have important applications in the process of object detection and recognition. However, the geometric features of objects usually present irregular geometric shapes. In order to fit the irregular geometry accurately, this paper proposes the mark clustering point process. Firstly, the random points in the parent process are used to determine the location of the ground object, and the irregular graph constructed by the clustering points in the sub-process is used as the identification to fit the geometry of the ground object. Secondly, assuming that the spectral measurement values of ground objects obey the independent and unified multivalued Gaussian distribution, the spectral measurement model of remote sensing image data is constructed. Then, the geometric extraction model of the ground object is constructed under the framework of Bayesian theory and combined with the reversible jump Markov chain Monte Carlo (RJMCMC) algorithm to simulate the posterior distribution and estimate the parameters. Finally, the optimal object extraction model is solved according to the maximum a posteriori (MAP) probability criterion. This paper experiments on color remote sensing images. The experimental results show that the proposed method can not only determine the position of the object but also fit the geometric features of the object accurately.

A three-way decision method with prospect theory to multi-attribute decision-making and its applications under hesitant fuzzy environments

Nowadays, various uncertain information can be found in real world, and it is imperative to explore viable countermeasures for uncertain decision-making problems. Hesitant fuzzy set (HFS) theory is an efficient expression of uncertain information. Thus, the solution of hesitant fuzzy multi-attribute decision-making (HF-MADM) problems acts as a key topic in decision sciences. The purpose of this paper is to build a model with ranking and classification functions to reasonably solve HF-MADM problems, preferably aiming at the following situations: (1) decision-makers (DMs) are not risk-averse in all situations. (2) Decision results with acceptance, rejection or deferment are more important than merely ranking when there are many objects involved. First, prospect theory (PT) is used to quantify the psychology of DMs with gains and losses. Taking into account the particularity of HF environments, the gain and loss values of objects are estimated via using the flow of HF Preference Ranking Organization method for Enrichment Evaluations (HF-PROMETHEE). Subsequently, the concept of relative outcome matrices is proposed. Second, by means of three-way decision (TWD), a TWD model based on PT is established in HF environments. Third, the comparative analysis of ranking and classification is respectively constructed. The rationality and validity of the proposed model can be verified via the results of Spearman correlation coefficients with other ranking methods are greater than 0.75, and the classification error rate (CER) indicator is 33.61% smaller than other existing classification methods. Finally, parameter experiments and case experiments under different data sets are constructed. The consistent optimal results under different parameters demonstrate the stability of the proposed model. Under the four different datasets, the CER values of 14.44%, 11.11%, 4.72% and 7.41% show that the proposed model is better than the other existing methods.

ON THE LONG-TERM CONSTRUCTION OF IDEOLOGICAL AND POLITICAL EDUCATION SYSTEM IN COLLEGES AND UNIVERSITIES GUIDED BY THE STATUS AND VALUES OF NATIONAL SENIOR OFFICIALS—BASED ON STUDENTS' EMOTIONAL BEHAVIOR DRIVING FACTORS

BackgroundAs an important position for cultivating national talents, colleges and universities shoulder the fundamental task of education. Building a long-term curriculum system of Ideological and political education in Colleges and Universities under the guidance of national strength based values is the objective need to create a diversified value atmosphere in the period of social transformation. It is the renewal and iteration of Internet technology, which puts forward new requirements for ideological and political education. Follow the requirements of the dialectical unity of realizing the goal of ideological education and abiding by the law, the dialectical unity of values and value practice, and the cultivation of subjectivity. Especially in this process, it will play an important role in shaping students' emotion and behavior.Subjects and MethodsIdeological and political education in Colleges and universities should not only investigate the external environmental impact of educational objects, but also pay attention to the comprehensive quality of educational objects themselves. According to the psychological factors that affect the values of educational objects, we should cultivate values. However, we still face challenges such as the richness of knowledge structure of educational objects, the maturity and resilience of self-identity, the direction and hierarchy of psychological needs, the differences of different dimensions of personality types, and the interpretability and reversibility of individual cognitive schema.ResultsOn this basis, it is necessary to develop and build visual comprehensive development teaching, connotation interpretation interactive teaching, practical teaching close to the value of knowledge, task driven participatory teaching, multi-dimensional comprehensive evaluation and network platform teaching. Construct 6e practice system from the perspectives of elaboration, interpretation, exploration, participation, evaluation and evaluation. National power based values provide rich resources for the construction of Ideological and political education in Colleges and universities. Ideological and political education in Colleges and universities is an innovative carrier for cultivating and practicing the values of state power standard. From the perspective of integration, study the resource advantages and penetration path of national high power status values leading ideological and political education in Colleges and universities, promote the organic combination of class education and value orientation, and build a scientific, systematic and sustainable long-term mechanism of value education.ConclusionProvide intellectual support for the teaching reform of Ideological and political education in Colleges and universities, cultivate innovative talents in the new era, and firmly grasp the ideological initiative. Educational concept is the guide of educational practice and the core and key of overall planning, grasping the foundation, grasping the direction and long-term planning. It also clarifies and demonstrates the guiding, strategic and macro nature of the conceptual system. The practical system of Ideological and political education in Colleges and universities is a specific practical deployment based on the conceptual system, which is a dynamic process. Through the concept system, clarify the direction, ideas, key tasks and main measures of Ideological and political education in Colleges and universities, and effectively improve the effectiveness of the ideological and political education system in Colleges and universities by formulating the objectives, tasks, policies and measures of the practice system. Cultivate the pillars of the country in the new era with patriotism, noble moral sentiment and correct values.AcknowledgementsSupported by National social science foundation (Grant No.20VSZ029).

Centrist Language, Camouflaged Ideology: Assembled Text-Based Content on Mainstream and Ideological News Podcasts

ABSTRACT Studies of podcasting and digital audio streaming have neglected text-based podcast descriptions and episode titles, the most outward-facing content on any podcast. Qualitative analysis of text-based podcast content found mainstream news podcasts assembled show and episode descriptions using traditional values of brevity, directness and objectivity. Conservative podcasts assembled their text-based content with the same values - rarely mentioning conservative ideology or affiliation directly, and often appearing indistinguishable from mainstream news podcasts. Distinctions appeared in the use of incivil or irreverent language. Findings indicate a dynamic assemblage process on a growing digital platform.

Perceived Intensities of Normal and Shear Skin Stimuli Using a Wearable Haptic Bracelet

Our aim is to provide effective interaction with virtual objects, despite the lack of co-location of virtual and real-world contacts, while taking advantage of relatively large skin area and ease of mounting on the forearm. We performed two human participant studies to determine the effects of haptic feedback in the normal and shear directions during virtual manipulation using haptic devices worn near the wrist. In the first study, participants performed significantly better while discriminating stiffness values of virtual objects when the feedback consisted of normal displacements compared to shear displacements. Participants also commented that they could detect normal cues much easier than shear, which motivated us to perform a second study to find the point of subjective equality (PSE) between normal and shear stimuli. Our results show that shear stimuli require a larger actuator displacement but less force than normal stimuli to achieve perceptual equality for our haptic bracelets. We found that normal and shear stimuli cannot be equalized through skin displacement nor the interaction forces across all users. Rather, a calibration method is needed to find the point of equality for each user where normal and shear stimuli create the same intensity on the user's skin.

A System‐of‐Systems Meta‐Architecture Optimization to Recommend a Solution for Personalized Home Fitness

AbstractDue to the novel coronavirus COVID‐19 pandemic in 2020 and the stay‐at‐home orders that accompanied mandates for businesses to cancel in‐person activities, an increasing number of people turned to fitness alternatives that allowed them to exercise without leaving their homes. With this came a demand for at‐home workout solutions and a surge in sales for companies like Peloton and NordicTrack. To help determine the best solution for a potential customer, this paper analyzes a System‐of‐Systems to optimize a meta‐architecture for an at‐home spin class capability by maximizing five key performance attributes: affordability, efficiency, flexibility, enjoyment, and efficacy. The overall System‐of‐Systems was analyzed using a Fuzzy Inference System that interfaces with SoS Explorer, a System‐of‐Systems architecting tool developed by Missouri University of Science and Technology. A genetic algorithm guided the optimization process to generate a single meta‐architecture that provides the best possible value for the overall objective of the System‐of‐Systems. A summary of the simple Self‐Organizing Genetic Algorithm is included along with a definition of the constraints and equations used to define the score of the meta‐architecture given the combination of systems selected and their associated capabilities, characteristics, and feasible interfaces. Future work includes the expansion of the approach to other potential equipment and workout types, such as running, yoga, and lifting, as part of the analysis and optimization using SoS Explorer.

Evaluation of Pre-Replanting Oil Palm Plant Health using the NDVI Index from Landsat 8 Satellite Imagery

NDVI analysis was calculated based on the ratio of the reflection of red and near infrared waves. Aims of this study is to determine the density condition and health level of oil palm plants that have entered the age of replanting using the NDVI index from Landsat 8 satellite imagery and evaluate the plant health level based on the NDVI index compared with the LSU data. The research was conducted at Afdeling 1 Rantau Baru Plantation, PT. Pusaka Megah Bumi Nusantara, which is a plantation with old oil palm plant that have entered a period of replanting (22-29 years). The NDVI analysis results show the NDVI value is 0.034-0.469. Object identification shows that non-vegetation objects have an NDVI index value of 0.034-0.245 and vegetation objects have a value of 0.273-0.454. The result of the NDVI index shows the density of oil palm plants are categorized in the high category (dense). These results are appropriate with the actual condition of oil palm plantations which have an average density of 118 trees/hectare. The average NDVI value for vegetation objects is 0.423, that indicates the plants are in fairly healthy condition. The level of plant health as the result of the NDVI analysis was in appropriate with the LSU data which showed that the content of macro and micro nutrients in the leaves was quite high. Therefore, NDVI analysis can be an alternative to evaluate the condition of oil palm plantations efficiently. Keywords: Landsat 8 sattelite imagery, NDVI index, Oil palm, Plant density, Plant health

ANALYSIS OF MATHEMATICAL METHODS OF IMPLEMENTATION THE COMPARATIVE APPROACH IN REAL ESTATE AVALUATION

. The effectiveness of modern mathematical methods of implementation the comparative approach in real estate evaluation is analyzed in the work. Within this approach the following mathematical methods of determining corrective amendments to the value of the valuation object were analyzed: expert method, method based on solving a system of linear equations, calculation method based on normalized distances in the space of price-forming factors, and correlation-regression method. The main computing formulas and the sequence of calculations for each of the researched methods are outlined. The main criteria for choosing one or another method are defined on the basis of their advantages and disadvantages and application restrictions. The results of a computational experiment investigating the degree of sensitivity of mathematical methods regarding ways of formalization (digitization) of the initial qualitative information in determining the value of real estate objects within a comparative approach are presented. It is represented that the method of determining corrective amendments based on the solution of a system of linear equations is the most sensitive to the choice of the method of digitization of the initial data, the method of calculation based on normalized distances in the space of price-forming factors is less sensitive, and the correlation-regression method is not sensitive at all.

Gösterişçi Tüketim Davranışı Ekseninde Yeni Orta Sınıfların Tüketim Pratikleri

Today, individuals live in a daily life space where they are addicted to fashion and what is constantly renewed. Consumption practices, guided by the symbolic values of consumption objects, have been a means of class mobility for individuals in different income groups as a status indicator. Certain types of consumption practices have become the means and purpose of creating a lifestyle, ensuring its continuity, and creating differences by making use of the artificial attractiveness of consumption objects. The motivation to be different from the other has become possible with consumption practicies that are reproduced, valued and given meaning, which have the potential to indicate the social position, class position and prestige of the individual. In this article, the dynamics and dimensions of differentiation and separation forms embodied by consumption practices are discussed.