Linear Analysis Method Research Articles

Modeling and optimization of acantilevered energy harvester partially covered by a macro fiber vomposite patch

Piezoelectric energy harvesters (PEH) are recognized as smart structural devices, offering researchers an innovative approach to estimate the energy harvested from real vibration sources. This work presents linear analytical methods for predicting the energy harvested from an unimorph cantilevered beam with a proof mass, with a substrate partially covered by a Macro Fiber Composite (MFC) patch. In order to enhance a PEH that can generate more density of electrical power, a new framework for MFC harvesters with discontinuous geometries using Euler-Bernoulli assumptions is proposed. The length of the harvester can be divided into three parts of uniform beams followed by applying appropriate continuity conditions. Mixing rules are used to derive the equivalent properties of the MFC patch which is considered as five layers. The active layer contains a piezoceramic macro fibers embedded within an epoxy matrix, which is fully covered by electrode and Kapton layers. The excitation of the system is assumed to be at its base. The proposed method is validated through experimental comparison issued from the literature. The results indicate that the location of the MFC patch has a significantly affect to the density of electrical power, the optimal resistance and the natural frequencies.

The Model of Nursing Administration and Quality of Working Life Management of Nurses after COVID-19 Pandemics, in Thailand

The research results showed that 1) Conditions and guidelines the nursing administration and quality of working life in during and after the pandemics COVID-19 were explored and found that executives understood their personnel and emphasized that relevant personnel must perform their duties according to the measures to prevent the spread of COVID-19. Problems found included insufficient personnel for the work and overlapping roles. Factors that supported personnel to manage their work quality after the COVID-19 outbreak included teamwork, participation in planning and solving work safety issues, having time for work and family, and job satisfaction. The guidelines for operations after the COVID-19 outbreak should include changes to the work system, building morale, participation, teamwork, and job satisfaction. Good time management could affect the quality of life of nurses. 2) In the study of measurement model, it was found that all sub-component latent variables were suitable as the observed variables of each main component, and all main components were suitable as the observed variables of the nursing administration model and the management of working life quality of nurses after the COVID-19 outbreak. When checking the consistency of the measurement model, the measurement model was consistent with the empirical data, thus confirming the development of the nursing administration model and the management of working life quality of nurses after the COVID-19 outbreak in Thailand, by the linear structural component analysis method. 3) the model of nursing administration and quality of working life management of nurses after the COVID-19 pandemic in Thailand or SWAP FECT MODEL; it was found that all experts confirmed that the model was a model with practical steps, consisting of 2 main components, 10 sub-components, and 66 indicators. The main components of nursing administration in the VUCA model had 3 sub-components: transparency, empowerment of subordinates, and collaboration. The main components of management of working life quality had 7 sub-components: agency support, work safety, work participation, work satisfaction, well-being, self-development, and free time management. There were 3 steps of good management: 1. Inputs 2. Processes and 3. Outputs.

'Knock down the brain': a nonlinear analysis of electroencephalography to study the effects of sub-concussion in boxers.

Boxing is associated with a high risk of head injuries and increases the likelihood of chronic traumatic encephalopathy. This study explores the effects of sub-concussive impacts on boxers by applying both linear and nonlinear analysis methods to electroencephalogram (EEG) data. Twenty-one boxers were selected (mean ± SD, age 28.38 ± 5.5 years; weight 67.55 ± 8.90 kg; years of activity 6.76 ± 5.45; education 14.19 ± 3.08 years) and divided into 'beginner' and 'advanced' groups. The Montreal Cognitive Assessment and the Frontal Assessment Battery were administered; EEG data were collected in both eyes-open (EO) and eyes-closed (EC) conditions during resting states. Analyses of EEG data included normalized power spectral density (nPSD), power law exponent (PLE), detrended fluctuation analysis and multiscale entropy. Statistical analyses were used to compare the groups. Significant differences in nPSD and PLE were observed between the beginner and advanced boxers, with advanced boxers showing decreased mean nPSD and PLE (nPSD 4-7 Hz, p = 0.013; 8-13 Hz, p = 0.003; PLE frontal lobe F3 EC, p = 0.010). Multiscale entropy analysis indicated increased entropy at lower frequencies and decreased entropy at higher frequencies in advanced boxers (F3 EC, p = 0.024; occipital lobe O1 EO, p = 0.029; occipital lobe O2 EO, p = 0.036). These changes are similar to those seen in Alzheimer's disease. Nonlinear analysis of EEG data shows potential as a neurophysiological biomarker for detecting the asymptomatic phase of chronic traumatic encephalopathy in boxers. This methodology could help monitor athletes' health and reduce the risk of future neurological injuries in sports.

NURBS-based isogeometric formulation for linear and nonlinear buckling analysis of laminated composite plates using constrained and unconstrained TSDTs

Two isogeometric plate models employing Reddy's third-order shear deformation theory (TSDT) and unconstrained third-order shear deformation theory (UTSDT) are presented and compared for linear and nonlinear buckling analysis of laminated composite plates with and without imperfection and subjected to different inplane loads. Cubic non-uniform rational B-spline (NURBS) basis functions that easily satisfy C1 continuity of the IGA-TSDT model are employed. The total Lagrangian approach in conjunction with the principle of virtual work is used to derive the governing equations. The primary and secondary solutions are traced using a tangent based arc-length method with a simple branch switching technique. The performance of the models is evaluated by validation and comparison with solutions obtained using ANSYS, Navier method (for linear analysis only), and those in the literature. The buckling response is significantly affected by pre-buckling boundary conditions and strain-displacement relations. The nonlinear buckling approach, among other approaches, is observed to be the most accurate methodology for an arbitrarily laminated composite plate. Further, IGA-UTSDT with nine DOF gives marginal improvement over IGA-TSDT with five DOF at the cost of computation. The IGA-TSDT is observed to be superior to FEM-TSDT in terms of computation demand and performance.

KINETIC AND THERMODYNAMIC ADSORPTION STUDIES ON THE REMOVAL AND TREATMENT OF TEXTILES EFFLUENTS USING ACTIVATED CARBON DERIVED FROM DIOSPYROS MESPILLIFORMIS SEEDS.

An agricultural waste Diospyros mespiliformis seeds were treated, and activated with 30% of 0.3M sodium hydroxide base, to obtain an activated carbon employed in an adsorption process. It was utilize to treat effluent textile water sample from African Textile Manufacturers Limited in Dala, Kano State, Nigeria. Various techniques, including scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and proximate analysis were employed to investigate the adsorption process. The adsorbent was able to remove the dark red color to colorless found in textile effluents and shown a higher removal affinity for zinc ( 99.4%) and least affinity for nickel (0.11%), also Chromium (Cr) reduced by 39.4%, Copper (Cu) reduced by 20.9%, Iron (Fe) reduced by 91.9% , Manganese (Mg) reduced by 79.3%, are reduced significantly, the PH change from acidic PH 6.4 to neutral PH 7.1, turbidity decrease from 131 to 14 NTU , electrical conductivity change from 723 to 110 ?s·cm?1 .Diospyros mespiliformis seeds activated carbon was used for removal of congo red and malachite green from an aqueous solution. The effect of adsorbent dose, adsorbate concentration and contact time on the process of adsorption was investigated. The optimum dosage was found to be 0.5g had a percentage removal of 98.1% for congo red and 94.4% for malachite green. 10mg/l and 80minute was found to optimum concentration and optimum time in adsorption of congo red and malachite green. The equilibrium, kinetic and thermodynamic properties of the dyes removal were also investigated. The experimental data were modeled using linear regression method of analysis. The correlation coefficient was used as a criterion for model adequacy and acceptance. The pseudo second-order kinetic model was found to best correlate the experimental data with R2 of 0.9523 for CR and 0.9297 for MG. The experimental data were investigated at three different temperature, 305k, 325k and 335k were found to follow the Langmuir model with R2 of 0.9679, 0.9662 and 0.989 for CR and 0.9529, 0.9662 and 0.994 for MG. also were found to follow Temkinp model with with R2 of 0.9549, 0.9318 and 0.9952for CR and 0.9885, 0.9443 and 0.9209 for MG. The negative free gribbs energy indicated that the adsorption processes were spontaneously feasible. The positive values of +31.66KJ/mol and +92.3KJ/mol on both CR and MG indicate that adsorption process has been found to be endothermic in nature. The removal of congo red was found to be more spontaneous and feasible than the removal of malachite green on the adsorbent. From the study, it was deduced that the Diospyros mespiliformis seeds activated with sodium hydroxide was found to be a good adsorbent for the treatment of textile wastewater containing Congo red and Malachite green.

Changes in the spatiotemporal distribution of the timing and duration of the soil freeze–thaw status from 1979 to 2018 over the Tibetan Plateau

AbstractChanges in the soil freeze–thaw status will inevitably affect the thermal conditions and properties of the Tibetan Plateau (TP), thereby affecting its upper atmosphere, and further afield in East Asia and even globally. In this study, using the soil temperature simulated by the Community Land Model Version 5.0 (CLM5.0), the timing and duration of the soil freeze–thaw status were divided into freeze start‐date, freeze end‐date and freeze duration. Then, using linear trend estimation, correlation analysis and other methods, the changes in the spatiotemporal distribution of the timing and duration of the soil freeze–thaw status from 1979 to 2018 over the TP were analysed, and the relationships between them and surface temperature, altitude and latitude were analysed. The results obtained were as follows: (1) The soil temperature simulated by CLM5.0 can reasonably reproduce the seasonal changes in multilayer soil temperature, and correlated well with observations. Simulated by CLM5.0 of the time and duration of the soil freeze–thaw status also correlated well with observations. (2) The spatial distribution of the soil freeze–thaw status is characterized by a trend of delayed freezing, advanced thawing and shortened freeze duration from northwest to southeast over the TP. From 1979 to 2018, the freeze start‐date postponed by 7.3 days and became delayed at a rate of 1.9 days per decade, while the freeze end‐date advanced by 6.4 days at a rate of 1.7 days per decade, and the freeze duration shortened by 13.7 days at a rate of 3.6 days per decade. The timing and duration of the soil freeze–thaw status vary across different regions of the TP. The freeze start‐date in all areas of the TP has been delayed in the past 39 years. Except for the subcold zone and arid regions of the TP, the freeze end‐date has occurred earlier and the freeze duration has shortened, with the most significant changes in the subcold zone and humid regions, while the freeze end‐date has advanced at a rate of 3.6 days per decade and the freeze duration has shortened at a rate of 6.3 days per decade. (3) The timing and duration of the soil freeze–thaw status are significantly correlated with surface air temperature, elevation and latitude, exceeding the 99% confidence level. The correlation between the timing and duration of the soil freeze–thaw status and surface temperature is strongest, followed by altitude, and correlation with latitude is weaker. The correlation between surface air temperature and the timing and duration of the soil freeze–thaw status in the western TP is stronger than that in the eastern TP. The rate of change in the soil freeze–thaw status increases with altitude to 3000 m above sea level, while this rate decreases with elevation above 3000 m. The rate of change in the soil freeze–thaw status is greatest at 29°N, while the rate of delay in the freeze start‐date is minimal at 33°N and the rates of advancement in the freeze end‐date and shortening of the freeze duration are minimal at 35°N.

Pengaruh Literasi Keuangan Terhadap Kinerja Keuangan Usaha Mikro Kecil dan Menengah (UMKM) dengan Perilaku Pengelolaan Keuangan sebagai Variabel Intervening

This study aimed to determine the influence of financial literacy on the financial performance of MSMEs with financial management behavior as an intervening variable. The method used in this research was quantitative. The population in this study consisted of MSME actors in the East Alok District, totaling 1,548 MSME actors. The sampling technique employed simple random sampling with a total sample of 94 respondents. The type of data used in this study was primary data. The data collection procedure utilized questionnaires measured with a Likert scale. The data analysis technique used in this study was a simple linear analysis method, including descriptive statistical tests, data quality tests, classical assumption tests, hypothesis tests, and path analysis. The results of the study indicated that: (1) Financial literacy did not affect the financial performance of MSMEs, (2) Financial literacy affected the financial management behavior of MSMEs, (3) Financial management behavior did not affect the financial performance of MSMEs, and (4) Financial management behavior could not mediate the influence of financial literacy on the financial performance of MSMEs.

Pengaruh Budaya Organisasi dan Motivasi Kerja Terhadap Kinerja Karyawan di Rumah Sakit Dewi Sri Karawang

This research was conducted with the aim of determining the implications between organizational culture and work motivation and employee performance, especially at Dewi Sri Karawang Hospital. This research was conducted using quantitative methods using a sample of 79 respondents. This data was collected through a survey method using a questionnaire to calculate organizational culture, work motivation and its influence on performance. The survey results were analyzed using the multiple linear analysis method where organizational culture (X1) and work motivation (X2) were the independent variables and employee performance (Y) was the dependent variable. The results of research activities explain the good organizational culture variable, with a score of 2,725 and an average of 301, the work motivation variable with a score of 3,172 and an average of 288, and employee performance, with a score of 3,049 and an average of 304. The results of the research show that employee performance at Dewi Sri Karawang Hospital is partially influenced by work motivation, with a significance value of 0.036 <0.05. Organizational culture is also partially influenced, with a significance value of 0.000 <0.05. Furthermore, there is a significant influence between employee performance and organizational culture, with a significance value of 0.000 <0.05.

Changes in physiological signal entropy in patients with obstructive sleep apnoea: a systematic review

Background and Objective Obstructive sleep apnoea (OSA) affects an estimated 936 million people worldwide, yet only 15% receive a definitive diagnosis. Diagnosis of OSA poses challenges due to the dynamic nature of physiological signals such as oxygen saturation (SpO2) and heart rate variability (HRV). Linear analysis methods may not fully capture the irregularities present in these signals. The application of entropy of routine physiological signals offers a promising method to better measure variabilities in dynamic biological data. This review aims to explore entropy changes in physiological signals among individuals with OSA.
Methods Keyword and title searches were performed on Medline, Embase, Scopus, and CINAHL databases. Studies had to analyse physiological signals in OSA using entropy. Quality assessment used the Newcastle-Ottawa Scale. Evidence was qualitatively synthesized, considering entropy signals, entropy type, and time-series length.
Main results Twenty-two studies were included. Multiple physiological signals related to OSA, including SpO2, HRV, and the oxygen desaturation index (ODI), have been investigated using entropy. Results revealed a significant decrease in HRV entropy in those with OSA compared to control groups. Conversely, SpO2 and ODI entropy values were increased in OSA. Despite variations in entropy types, time scales, and data extraction devices, studies using receiver operating characteristic (ROC) curves demonstrated a high discriminative accuracy (>80% AUC) in distinguishing OSA patients from control groups. 
Conclusions This review highlights the potential of SpO2 entropy analysis in developing new diagnostic indices for patients with OSA. Further investigation is needed before applying this technique clinically.
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Linear Time-Periodic theory-based novel stability analysis method for voltage-source converter under unbalanced grid conditions

Small-signal stability analysis is essential for the safe operation and parameter design of power electronic-dominated grids. Unbalanced conditions introduce more frequency-coupling terms, which are unneglectable in the stability assessment. This paper proposes a novel Linear Time-Periodic (LTP) theory-based stability analysis method and focuses on grid-connected voltage-source converters (VSCs) without improved unbalancing controls. Firstly, the analysis of fundamental solutions of the LTP system reveals that each LTP mode is characterized by a unique damping factor and multiple oscillation frequencies, defined by LTP eigenvalues and related transformation vectors, i.e., (λi,Vi(t)). Then, a method for calculating (λi,Vi(t)) is proposed using the characteristic matrix of the Harmonic State-Space (HSS) model. An iterative sorting method based on the time-domain interpretation of HSS eigenvalues/eigenvectors is proposed to determine accurate (λi,Vi(t)) in the case of the minimum truncation order. Finally, generalized definitions and calculation methods of the widely used indicators for modal analysis are presented to assess system stability and guide the parameter design. Numerical and simulation results verify the proposed stability analysis method and indicate its advantages compared to the existing Floquet and HSS methods.

Inverse problem for thermal radiation distribution on turbine blade under quartz lamp irradiation

Due to the strong time-varying characteristics and complex geometry of aerospace components, rapid changes in the distribution of radiative heat flux on the test surface are often required during non-uniform aerodynamic heating tests. However, it takes time to adjust the geometric parameters of the lamp array, which cannot meet the requirement for rapidly changing radiative heat flux distribution. To address this issue, a new method for calculating radiant heat flux and a fast linear analysis method of quartz lamp power are proposed which can calculate radiant heat flux distribution of complex surface and meet the need of timeliness and rapidity in radiant heat flux distribution, making it more suitable for engineering applications. Through numerical verification under single lamp and quartz lamp array, the maximum difference between the theoretical analysis method and the Monte Carlo method is less than 2.25% under single lamp, and less than 5% under quartz lamp array. Finally, turbine blade model and plane model are taken as research objects to verify the feasibility and reliability of the fast linear analysis method of quartz lamp power. The results show that the relative average error of the calculated quartz lamp power is 5.86% and 14.83%, respectively, compared with the actual power. This provides a reference and basis for the rapid simulation design of thermal radiation environment during the experiment.

Mediasi Trust Dalam Mempengaruhi Pemasaran Media Sosial Terhadap Niat Beli Konsumen (Studi Konsumen Muna Beauty Store)

This study aims to determine Trust mediation in influencing Social Media Marketing on consumer purchase intentions (study on Muna Beauty Store consumers). The method used in this research is purposive sampling, namely the technique of determining the sample by considering certain criteria with a total sample of 96 respondents. With multiple linear regression and analysis method. The results of this study indicate that 1) Social Media Marketing has a positive and significant direct effect on Trust at Muna Beauty Store. 2) Social Media Marketing has a direct significant positive effect on Consumer Purchase Intentions at Muna Beauty Store. 3) Trust has a significant positive direct effect on the Purchase Intention of Muna Beauty Store Consumers. 4) Social Media Marketing indirectly has a positive and significant effect on Consumer Purchase Intentions through Trust.

Gap solitons of spin–orbit-coupled Bose–Einstein condensates in a Jacobian elliptic sine potential

Gap solitons of quasi-one-dimensional Bose–Einstein condensate loaded in a Jacobian elliptic sine potential with spin–orbit-coupled are investigated theoretically. Under the mean-field approximation, the dynamical behaviors of such a system are described using the Gross–Pitaevskii equation (GPE). Firstly, we linearize the GPE to obtain the band-gap structures. Secondly, the Newton-Conjugate-Gradient (NCG) method is used to search for gap solitons. Thirdly, the dynamic stability of the gap solitons obtained by the NCG method was investigated using linear stability analysis and nonlinear dynamic evolution methods. It is found that in this nonlinear system, there exist both stable gap solitons and structurally rich unstable gap solitons. The external potential modulus and the strength of the spin–orbit coupling are important parameters that influence the stability of the gap solitons.

Сценарное моделирование протестного потенциала на основе событийной идентификации динамики факторов

In this study, we present a scenario-based approach to investigate the protest potential in society using mathematical tools from graph theory and simulation modeling. The research objective. The research aims to construct a cognitive map that reflects key factors, such as population deprivation levels, overall well-being, social fears, trust in authority, social expectations, and stability of social structures. Materials and methods. The model of functional oriented graphs, which in turn is a development of the classical cognitive model, is used as a metamathematical apparatus in the study. In the software implementation, the method of linear regression data analysis was used to calculate e-scenarios for the behavior of vertices. Results. We report the results of a scenario analysis of the developed model, obtaining forecasted scenarios of the dynamics of society’s protest potential under various conditions and influences. At the core of this research is the examination of a complex system’s possible response to external destructive impacts, and we propose a set of measures to counteract these influences on societal dynamics. The scenario methodology combines graph theory for representing complex relationships between key factors and simulation modeling for predicting potential developmental scenarios. Conducting this study required modifying the traditional mathematical apparatus of cognitive modeling. We developed methods and algorithms for scenario-event identification of the model’s significant factors’ behavior and utilizing the results of such identification when forming complex functional relationships in the scenario model. In generating scenarios, the range of events is significantly expanded compared to traditional cognitive modeling approaches, which could have been overlooked but may be crucial for situational analysis. Conclusion. The scenario modeling technology presented in the work is implemented in the appropriate software and analytical complex, the purpose of which is to automate the processes of scenario research of socio-economic and political systems.

The Influence of Eco-Control, Company Size, Environmental Performance on Sustainability Reporting Disclosure

Sustainability reporting in Indonesia has become a mandatory report published by financial institutions and public companies listed on the Indonesia Stock Exchange. Obligations related to sustainability reporting refer to Statement of Financial Accounting Standards (PSAK) No.1 Revised 2019, namely that companies are required to disclose additional reports related to environmental life. Under the Global Reporting Initiative (GRI) 2021 standards, the information on a company's applicant list can build stakeholder trust, maintain reputation, increase company value and demonstrate company accountability. Factors that can encourage disclosure of sustainability reporting are Eco-control, company size and environmental performance. One industry that is closely related to the environment and natural resources is the agricultural industry, apart from having a positive impact, there are also negative impacts that also cause harm to the environment. The sample in this research is agricultural sector companies listed on the IDX for 2018-2022. The research uses multiple linear analysis methods with SPSS 23 statistical software. After testing the hypothesis, the results obtained are that Eco-control has a positive influence on sustainability reporting disclosures, while the company size variable has no influence on sustainability reporting disclosures, starting with the environmental performance variable. .

Enhancing Company Value: The Impact of Managerial Ownership and CSR Disclosure

The Influence of Managerial Ownership and Corporate Social Responsibility (CSR) Disclosure on Company Value (Empirical Study of Manufacturing Companies in the Consumer Goods Industry Sector Listed on the Indonesian Stock Exchange for the 2017-2019 Period). To determine the influence of managerial ownership and Corporate Social Responsibility (CSR) disclosure on the value of manufacturing companies in the consumer goods industry sector listed on the Indonesia Stock Exchange (BEI) for the 2017-2019 period. This research method uses multiple linear analysis methods. Managerial ownership has a significant negative influence on firm value partially. Disclosure of Corporate Social Responsibility (CSR) has a significant positive influence on company value partially. Managerial ownership and disclosure of Corporate Social Responsibility (CSR) have a significant positive influence simultaneously on company value. The managerial implications of this research explore the impact of managerial ownership and disclosure of Corporate Social Responsibility (CSR) on increasing company value. Managerial ownership plays an important role in aligning interests between management and shareholders, which in turn can motivate management to improve company performance. On the other hand, CSR disclosure not only builds a positive image of the company but also increases stakeholder trust and loyalty.

System theory safety analysis of network malfunction in nuclear power plant distributed control systems

Abstract A secure and highly reliable communication network is a crucial component of the distributed control system (DCS) in nuclear power plants (NPPs), particularly for the protection system. However, there have been numerous reported cases of cyber-attacks in the field of nuclear power, and the cybersecurity threats faced by a DCS are increasing. Given that the DCS is a complex integrated system combining computers, communication, and control with a large number of interactions between components and external interferences, traditional linear safety analysis methods fail to meet its requirements. To minimize cybersecurity accidents caused by potential vulnerabilities, it is necessary to conduct systematic safety analysis on DCS cybersecurity accidents in NPPs. Therefore, this paper selected a specific case of cybersecurity accidents in a NPP for abstract modeling and reproduction. The causal analysis based on system theory (CAST) method was applied to conduct an analysis of the accident causes. It can identify existing vulnerabilities and potential factors impacting the safe operation of NPPs, and countermeasures and recommendations can be proposed. The reference for assessing potential risks and devising solutions can be provided for other DCS communication networks.

Analisis Pengaruh Store Atmosphere terhadap Minat Kunjung Kembali di Restoran Taman Santap Rumah Kayu Bandar Lampung

The atmosphere in a restaurant is not just a detail, but a key factor in building and maintaining customer loyalty. This research aims to determine the influence of restaurant atmosphere on customers' desire to return to Taman Makan Rumah Kayu in Bandar Lampung. Simple linear analysis method. The results of this research indicate that the restaurant atmosphere has a significant influence on customers' interest in returning. These findings confirm that the restaurant atmosphere not only influences customers' interest in returning, but also directly influences the level of customer satisfaction at Taman Santap Rumah Kayu in Bandar Lampung.

Nonlinear Characteristics of Radio Variability in Quasar 3C 446

Quasars are characterized by violent and large amplitude variability in all the observation wavelengths, and the analysis of optical variability is useful for developing theoretical models. Long-term optical variability data of quasar 3C 446 were collected from the University of Michigan Radio Astronomy Observatory database in the 4.8, 8.0, and 14.5 GHz radio bands from 1976 to 2012. Due to the complexity of the variability data, it's hard to study by the linear time series analysis methods. For learning more about non-linear characteristics of the temporal evolution of quasar variability, the Ensemble Empirical Mode Decomposition and nonlinear analysis are used to analyse chaotic dynamics, fractal properties, and periodicity. This paper focuses on whether there is a significant difference between the periodic and non-linear properties of the quasar variability before and after the removal of the periodic or chaotic components. It turns out that the variability of quasar 3C 446 in the radio bands consists of periodic, trend, and chaotic components, and the periodic and trend components are dominant. The periods of the variability after removing the chaotic and trend components are exactly the same as the periods of the original variability data, but the chaotic and fractal characteristics of the two are significantly different. The saturated correlation dimension indicates that the reconstruction of the dynamical system requires more independent parameters than the original optical variables after the removal of the periodic and trend components. The Kolmogorov entropy indicates that the loss of information is greater for the former than the latter, and the system is more chaotic and more complex. The Hurst value indicates that the self-similarity and long-range correlation are slightly stronger for the latter than the former.

The Influence Of Financial Literacy On The Financial Management Of Umkm South Bontonompo District, Gowa Regency

This type of research uses a descriptive method with a quantitative approach, which aims to determine the influence of financial literacy on financial management of MSMEs in South Bontonompo District, Gowa Regency. This research was carried out in South Bontonompo District, Gowa Regency, which took place from 7 May 2024 to 7 July 2024. The sample used in this research was 75 MSME actors in South Bontonompo District, Gowa Regency. Data collection is carried out by distributing questionnaires or questionnaires. Furthermore, the data obtained was then processed using a simple linear regression data analysis method and processed using the Statistical Package For The Social Science {SPSS} Version 23 application. The research results showed that financial literacy (X) was obtained by t-count 11,929 > t-table 1.666 and the sig value is 0.000<0.05, thus the financial literacy variable has a positive and significant effect on the financial management variable. So the results of hypothesis testing show that H1: Financial Literacy has a positive and significant influence on the financial management of MSMEs in South Bontonompo District, Gowa Regency, is accepted.